Arun Kokane | Medicine and Health Sciences | Best Researcher Award

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Prof. Arun Kokane | Medicine and Health Sciences | Best Researcher Award

Professor & Head at All India Institute of Medical Sciences Bhopal, India.

Dr. Arun Mahadeo Kokane is a distinguished medical professional with a wealth of experience and expertise in community and family medicine. As a Professor at the All India Institute of Medical Sciences Bhopal, he plays a pivotal role in shaping medical education and research in India. With an MBBS from Govt. Medical College, Nanded, and an MD-PSM from S.R.T.R. Medical College, Ambajogai, Dr. Kokane has consistently demonstrated a commitment to excellence in academia and clinical practice. Throughout his career, he has held various positions in prestigious institutions across Maharashtra and Pondicherry, contributing significantly to medical education and patient care. Dr. Kokane’s research interests span a wide range of topics, including pediatric tuberculosis, mental health morbidity related to Covid-19, and dementia diagnosis in aging populations. His ongoing research projects reflect his dedication to addressing critical healthcare challenges and improving public health outcomes in India. Dr. Kokane’s multifaceted career exemplifies his passion for advancing medical knowledge and promoting community well-being.

Professional Profiles:

Education:

Dr. Arun Mahadeo Kokane’s academic journey reflects his dedication to medical excellence and research. He obtained his MBBS from Govt. Medical College, Nanded, Maharashtra, affiliated with Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, in Feb-1999, which is recognized by the Medical Council of India (MCI). Subsequently, Dr. Kokane pursued MD-PSM (Preventive and Social Medicine) at S.R.T.R. Medical College, Ambajogai, Dist-Beed, Maharashtra, also affiliated with Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, passing in Feb-2004, with recognition from the MCI. These educational qualifications have provided him with a solid foundation for his distinguished career in medicine and research, enabling him to make significant contributions to the field of community and family medicine.

Professional Experience

Dr. Arun Mahadeo Kokane’s illustrious career in medicine encompasses a diverse array of roles and responsibilities across renowned institutions. He began his journey as a Medical Officer at the Primary Health Centre in Renapur, Latur District, gaining invaluable experience for 11 months. Subsequently, he embarked on a path of continuous learning and growth, serving as a Resident, Tutor, and PG Student at S.R.T.R. Medical College, Ambajogai, for 37 months. Dr. Kokane’s dedication to medical education led him to lecturer positions at esteemed institutions such as MIMSR Medical College, Govt. Medical College, and Bharati Vidyapeeth University Medical College. Over the years, he has ascended the ranks, holding positions as Associate Professor and Additional Professor, contributing significantly to academia and patient care. Currently serving as a Professor at All India Institute of Medical Sciences Bhopal, Dr. Kokane’s extensive professional journey exemplifies his expertise, leadership, and commitment to advancing healthcare.

🔬 Research Interests:

Dr. Arun Mahadeo Kokane’s research pursuits span a wide spectrum of public health and clinical medicine. He is deeply engaged in investigating various aspects crucial to healthcare advancement. One of his primary areas of interest lies in pediatric tuberculosis, where he delves into understanding the delay in diagnosis and its determinants among pediatric patients in Madhya Pradesh. Additionally, Dr. Kokane explores the intricate relationship between the history of Covid-19 and mental health morbidity in India, seeking to identify effective interventions and support mechanisms. His research endeavors also extend to aging and dementia, where he contributes to the development of harmonized diagnostic assessments for longitudinal aging surveys in India. Furthermore, Dr. Kokane actively participates in community-based health programs, aiming to enhance the management of severe acute malnutrition in children and improve overall child health outcomes in Madhya Pradesh. Through his multifaceted research initiatives, Dr. Kokane demonstrates a steadfast commitment to addressing pressing healthcare challenges and fostering positive health outcomes for communities.

🏆 Awards and Honors:

Dr. Arun Mahadeo Kokane’s remarkable contributions to medicine and public health have been recognized through numerous prestigious awards and honors. Notably, he has been the recipient of the Excellence in Teaching Award, acknowledging his outstanding mentorship and educational initiatives in the medical field. Additionally, his dedication to advancing knowledge and innovation in public health and clinical medicine has earned him the esteemed Research Excellence Award. Dr. Kokane’s research contributions have also been celebrated with multiple Best Paper Awards at national and international conferences, highlighting the impact and significance of his scholarly endeavors. Furthermore, his exemplary leadership skills and commitment to improving community health outcomes have been acknowledged through various leadership recognition initiatives. Overall, these awards and honors serve as a testament to Dr. Kokane’s exceptional professional achievements and underscore his profound impact on the field of medicine and public health.

🔍 Research Skills:

Dr. Arun Mahadeo Kokane possesses a comprehensive set of research skills honed through years of experience and dedication to advancing medical knowledge. Proficient in both quantitative and qualitative research methodologies, he employs a diverse range of techniques to investigate complex healthcare phenomena. Dr. Kokane’s expertise in epidemiological analysis enables him to design and execute studies that elucidate disease patterns and risk factors in populations. His adeptness in mixed methods research allows for a nuanced understanding of healthcare issues by integrating quantitative data with qualitative insights. Additionally, Dr. Kokane demonstrates proficiency in data management and analysis, employing statistical software to extract meaningful insights from large datasets. Skilled in grant writing and interdisciplinary collaboration, he effectively secures funding and collaborates with multidisciplinary teams to tackle healthcare challenges from various angles. Through his research endeavors, Dr. Kokane contributes significantly to the advancement of medical science and the translation of research findings into actionable solutions for improved public health outcomes.

Medicine and Health Sciences

  • National Mental Health Survey of India, 2015-16: prevalence, patterns and outcomes
    • Authors: G Gururaj, M Varghese, V Benegal, GN Rao, K Pathak, LK Singh, …
    • Year: 2016
    • Citations: 363
  • The National Mental Health Survey of India (2016): Prevalence, socio-demographic correlates and treatment gap of mental morbidity
    • Authors: MS Gautham, G Gururaj, M Varghese, V Benegal, GN Rao, A Kokane, …
    • Year: 2020
    • Citations: 210
  • Knowledge, attitude, and practices related to cervical cancer among adult women: A hospital-based cross-sectional study
    • Authors: AB Bansal, AP Pakhare, N Kapoor, R Mehrotra, AM Kokane
    • Year: 2015
    • Citations: 175
  • NMHS collaborators group
    • Authors: G Gururaj, M Varghese, V Benegal, GN Rao, K Pathak, LK Singh, …
    • Year: 2015
    • Citations: 160
  • Prevalence and socioeconomic impact of depressive disorders in India: multisite population-based cross-sectional study
    • Authors: BA Arvind, G Gururaj, S Loganathan, S Amudhan, M Varghese, …
    • Year: 2019
    • Citations: 109
  • National mental health survey of India, 2016-rationale, design and methods
    • Authors: BS Pradeep, G Gururaj, M Varghese, V Benegal, GN Rao, GM Sukumar, …
    • Year: 2018
    • Citations: 85
  • A population-based analysis of suicidality and its correlates: findings from the National Mental Health Survey of India, 2015–16
    • Authors: S Amudhan, G Gururaj, M Varghese, V Benegal, GN Rao, DV Sheehan, …
    • Year: 2020
    • Citations: 72
  • Isoniazid preventive therapy among children living with tuberculosis patients: is it working? A mixed-method study from Bhopal, India
    • Authors: AR Singh, A Kharate, P Bhat, AM Kokane, S Bali, S Sahu, M Verma, …
    • Year: 2017
    • Citations: 56
  • National Mental Health Survey of India, 2015-16: Prevalence
    • Authors: G Gururaj, M Varghese, V Benegal, GN Rao, K Pathak, LK Singh, …
    • Year: 2016
    • Citations: 44
  • National mental health survey of India, 2015-16: Mental health systems
    • Authors: G Gururaj, M Varghese, V Benegal, GN Rao, K Pathak, LK Singh, …
    • Year: 2016
    • Citations: 33

 

Andre Michel Pouth Nkoma | Earth and Planetary Sciences | Best Researcher Award

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Dr. Andre Michel Pouth Nkoma | Earth and Planetary Sciences | Best Researcher Award

Student, substitute teacher at University of Yaounde I, Cameroon.

Dr. Andre Michel Pouth Nkoma is a dedicated researcher and educator specializing in geophysics and infrastructure sustainability. Currently pursuing a Ph.D. in Physics with a focus on Geophysics and Geoexploration at the University of Yaoundé 1 in Cameroon, Dr. Nkoma’s academic journey reflects his commitment to understanding the dynamic Earth system and its impact on human society. With a solid foundation in physics from his Bachelor’s and Master’s degrees, Dr. Nkoma has honed his expertise in data collection, geotechnics, geomatics, and GIS analysis. His research interests encompass assessing natural hazards, studying infrastructure resilience, and exploring sustainable solutions for vulnerable environments. Dr. Nkoma’s dedication to research excellence is complemented by his role as a Substitute Teacher, where he shares his knowledge and inspires future generations of scientists. Through his work, Dr. Nkoma aims to contribute to the advancement of knowledge and the development of resilient infrastructure solutions for the benefit of society.

Professional Profiles:

Education:

Dr. Andre Michel Pouth Nkoma pursued his academic journey with a relentless passion for physics and exploration. Currently, he is dedicated to his Ph.D. thesis in Physics, specializing in Geophysics and Geoexploration, at the University of Yaoundé 1 in Yaounde, Center, Cameroon. Prior to his doctoral studies, he attained a Master’s degree in Physics with a focus on Geophysics and Geoexploration, also from the University of Yaoundé 1. His academic foundation was laid with a Bachelor’s degree in Physics, emphasizing electronics, electrical engineering, and automation, from the same esteemed institution. Dr. Nkoma’s academic excellence dates back to his secondary education, where he completed his Baccalaureate of Secondary Education in Mathematics and Physical Sciences at Edea Classical High School in Edéa, Littoral, Cameroon. This educational journey reflects his steadfast commitment to mastering the intricacies of physics and its applications in exploration and understanding natural phenomena.

Professional Experience

Dr. Andre Michel Pouth Nkoma brings a wealth of academic and practical expertise to his role as a Substitute Teacher at the University of Yaoundé 1. Since January 2022, he has been actively engaged in guiding students through theoretical concepts and practical applications in the fields of physics and geophysics. His responsibilities include overseeing laboratory and fieldwork to ensure adherence to experimental protocols, as well as evaluating students’ performance in manipulations. Dr. Nkoma’s dedication to education extends beyond the classroom, where he fosters an environment of learning and discovery. His role as a Substitute Teacher underscores his commitment to nurturing the next generation of scientists and researchers in Cameroon.

🔬 Research Interests:

Dr. Andre Michel Pouth Nkoma’s research interests converge at the intersection of geophysics, natural hazards assessment, and infrastructure sustainability. His academic pursuits are driven by a passion for understanding the dynamic Earth system and its impact on human society. Dr. Nkoma’s primary focus lies in assessing hazards in mountainous and volcanic regions, exploring the influence of brittle tectonics on infrastructure networks, and studying foundation anchoring conditions in sedimentary estuaries. Through integrated methods and advanced geophysical techniques, he aims to contribute to the development of sustainable solutions for mitigating risks and enhancing resilience in vulnerable environments. Dr. Nkoma’s research agenda embodies a commitment to scientific inquiry and societal relevance, with a vision to safeguard lives and infrastructure in the face of evolving geological challenges.

Award and Honors

Dr. Andre Michel Pouth Nkoma has received prestigious awards and honors for his outstanding contributions to geophysics and infrastructure sustainability. Recognized with the Excellence in Geophysical Research Award and the Sustainability Leadership Award, his research on natural hazards assessment and infrastructure resilience has been widely acclaimed. Dr. Nkoma’s impactful publications in esteemed journals and his receipt of a Research Fellowship further attest to his dedication and expertise. With commendations for academic excellence from esteemed institutions, he stands as a leader in the field, committed to advancing knowledge and addressing critical challenges in geophysics and infrastructure sustainability.

🔍 Research Skills:

Dr. Andre Michel Pouth Nkoma possesses a diverse set of research skills honed through his extensive academic and professional experience in geophysics and infrastructure sustainability. He is proficient in data collection and analysis, leveraging geotechnical and geomatics techniques to assess natural hazards and infrastructure risks. Dr. Nkoma is skilled in utilizing Geographic Information Systems (GIS) tools such as ArcGIS, QGIS, Surfer, and Envi for spatial analysis and visualization. Additionally, he demonstrates expertise in statistical analysis to interpret geophysical data effectively. With proficiency in software applications including Microsoft Office and Adobe, Dr. Nkoma excels in documenting and presenting research findings. His strong scientific writing and communication skills are evident in his publications in reputable journals and presentations at conferences. These research skills empower Dr. Nkoma to contribute significantly to advancing knowledge and addressing critical challenges in geophysics and infrastructure sustainability.

Publications

  1. Analysis of Safety Factors for Roads Slopes in Central Africa
    • Authors: Mbouombouo Ngapouth, I.; Meli’i, J.L.; Mbond Ariane Gweth, M.; Pouth Nkoma, M.A.; Njandjock Nouck, P.
    • Journal: Engineering Failure Analysis, 2022
    • Volume: 138
    • Citations: 7
  2. An Attempt to Study Foundation Anchoring Conditions in Sedimentary Estuaries Using Integrated Methods
    • Authors: Gounou Pokam, B.P.; Domra Kana, J.; Meli’i, J.L.; Mbono Samba, Y.C.; Njandjock Nouck, P.
    • Journal: Applied Sciences (Switzerland), 2022
    • Volume: 12
    • Issue: 14
    • Page: 7175

 

 

Amiya Saha | Geriatrics Health | Young Scientist Award

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Mr. Amiya Saha | Geriatrics health | Young Scientist Award

Research Scholar at Shandong University of Traditional Chinese Medicine, China; Fudan University, India.

Mr. Amiya Saha is a dedicated researcher specializing in population studies and public health. Currently serving as a Senior Research Fellow at the International Institute for Population Sciences (IIPS) in Mumbai, he holds a Ph.D. candidacy in Population Studies from the same institute. His research interests encompass a wide range of topics including rural-urban health disparities, the impact of religiosity and spirituality on mental well-being, and gender-specific determinants of health among older adults in India. Mr. Saha’s work has been published in reputable journals such as BMC Public Health, PLOS ONE, and Preventive Medicine Reports, reflecting his significant contributions to the field. With a strong commitment to advancing knowledge in population studies and public health, Mr. Saha continues to make valuable contributions through his research endeavors.

Professional Profiles:

Education:

Mr. Amiya Saha is currently pursuing his Ph.D. in Population Studies at the International Institute for Population Sciences (IIPS) in Mumbai. Prior to this, he completed his Master of Philosophy (M.Phil) in Population Studies from the same institution, achieving a percentage of 58.20% during the academic years 2020-2021. He also holds a Master in Population Studies (MPS) from IIPS, where he scored 63.80% in the years 2019-2020. Before delving into Population Studies, Mr. Saha earned a Master of Arts (MA) in Geography from Rabindra Bharati University, Emerald Bower Campus, Kolkata, West Bengal, securing an impressive 73.00% between 2011 and 2013. His academic journey began with a Bachelor of Science (B.Sc.) in Geography from the University of Calcutta, Kolkata, where he achieved a percentage of 60.62% from 2013 to 2016. Prior to his university education, Mr. Saha completed his 12th Standard under the West Bengal Council of Higher Secondary Education (WBCHSE) with a score of 80.40% in 2017-2019, and his 10th Standard from the West Bengal Board of Secondary Education (WBBSE), where he achieved 80.87% in 2011.

Professional Experience

Mr. Amiya Saha is a dedicated researcher in population studies, currently serving as a Senior Research Fellow at the International Institute for Population Sciences (IIPS) in Mumbai since November 30, 2022. Prior to this, he worked as a Junior Research Fellow at IIPS for two years. His expertise includes handling large-scale survey data such as the Demographic Health Surveys (DHS) of India, Bangladesh, and Pakistan, the Longitudinal Aging Study in India (LASI), and the India Human Development Survey (IHDS). He is proficient in statistical packages like STATA and SPSS, with basic knowledge of R software. Additionally, he has advanced skills in geographical information systems, including Geomatica, ArcGIS, and GeoDA. Mr. Saha’s research focuses on multimorbidity’s effects on health and healthcare utilization among older adults in India, contributing significantly to understanding popuation aging and health disparities.

Research Interest

Mr. Amiya Saha’s research interests lie at the intersection of population studies and public health, focusing on a range of critical issues affecting vulnerable populations. His primary areas of interest include the built environment and its impact on health, population aging, and family demography. He is deeply engaged in studying life course gerontology, exploring aspects of cognitive health, physical, social, and cognitive frailty, and the dynamics of healthy, active, positive, and successful aging. Mr. Saha also investigates sleep health and the health disparities among vulnerable populations, aiming to understand and address the unique challenges faced by these groups. His work seeks to contribute to a more comprehensive understanding of how various social determinants influence health outcomes throughout the aging process. By examining these areas, Mr. Saha aims to develop strategies and interventions that promote better health and well-being among older adults and other vulnerable populations.

Award and Honors

Mr. Amiya Saha has been recognized for his exceptional contributions to the field of population studies and geography through various awards and honors. He received the prestigious Senior Research Fellowship in Geography from the National Testing Agency (NTA-UGC-JRF) for the period of December 2020-2025. Additionally, he qualified for the National Eligibility Test (NET) in Geography, awarded by the NTA-UGC-JRF in December 2020. These accolades reflect Mr. Saha’s dedication to academic excellence and his significant research capabilities. His recognition as a Senior Research Fellow highlights his commitment to advancing knowledge in population studies, particularly in areas related to aging, health disparities, and the built environment. These honors serve as a testament to Mr. Saha’s scholarly achievements and his potential for making impactful contributions to his field.

Research Skills

Mr. Amiya Saha possesses a robust set of research skills, honed through extensive academic training and practical experience. He is adept at handling large-scale survey data, including the Demographic Health Surveys (DHS) of India, Bangladesh, and Pakistan, the Longitudinal Aging Study in India (LASI), the India Human Development Survey (IHDS), and the National Sample Survey (NSS). His proficiency in statistical analysis is demonstrated through his expertise in using software packages such as STATA and SPSS, with a foundational knowledge of R software. In addition to his statistical skills, Mr. Saha has advanced capabilities in geographical information systems (GIS), utilizing tools like Geomatica, ArcGIS, and GeoDA to analyze spatial data. His methodological skills are further complemented by his experience with demographic modeling software such as MORTPAK and Spectrum. Mr. Saha’s diverse skill set enables him to conduct comprehensive and multi-faceted research, contributing valuable insights into population studies and public health.

Publications

  1. “Rural-Urban Differences in Self-Rated Health Among Older Adults: Examining the Role of Marital Status and Living Arrangements”
    Authors: A. Saha, M. Rahaman, B. Mandal, S. Biswas, D. Govil
    Journal: BMC Public Health
    Year: 2022
    Citations: 17
  2. “Does the Intensity of Religiosity and Spirituality in Later Life Improve Mental Well-Being? Evidence from India”
    Authors: P. Barman, A. Saha, M. Dakua, A. Roy
    Journal: Journal of Religion, Spirituality & Aging
    Year: 2023
    Citations: 10
  3. “Gender-Specific Determinants of Overweight and Obesity Among Older Adults in India: Evidence from a Cross-Sectional Survey, 2017-18”
    Authors: A. Saha, B. Mandal, T. Muhammad, P. Barman, W. Ahmed
    Journal: BMC Public Health
    Year: 2023
    Citations: 8
  4. “Socio-Demographic and Behavioral Correlates of Excess Weight and Its Health Consequences Among Older Adults in India: Evidence from a Cross-Sectional Study, 2017–18”
    Authors: A. Saha, T. Muhammad, B. Mandal, M. Adhikary, P. Barman
    Journal: PLOS ONE
    Year: 2023
    Citations: 6
  5. “Association Between Natural Hazards and Postnatal Care Among the Neonates in India: A Step Towards Full Coverage Using Geospatial Approach”
    Authors: P. Barman, N. Sarif, A. Saha
    Journal: BMC Emergency Medicine
    Year: 2023
    Citations: 3
  6. “Moderating Role of Functional/Mobility Limitations in the Association Between Sleep Problems and Hypertension Among Middle-Aged and Older Adults in India”
    Authors: A. Saha, T. Muhammad, B. Mandal, D. Govil, W. Ali
    Journal: Preventive Medicine Reports
    Year: 2024
    Citations: 1
  7. “Decomposing the Rural–Urban Differences in Depression Among Multimorbid Older Patients in India: Evidence from a Cross-Sectional Study”
    Authors: A. Saha, B. Mandal, T. Muhammad, W. Ali
    Journal: BMC Psychiatry
    Year: 2024
    Citations: 1
  8. “Unveiling the Dynamics of Social Engagement and Subjective Health in Older Adults: A Gendered Perspective”
    Authors: A. Saha, D. Govil, T. Muhammad, A.R. Thomas
    Journal: Experimental Gerontology
    Year: 2024
  9. “Corrigendum to ‘Moderating Role of Functional/Mobility Limitations in the Association Between Sleep Problems and Hypertension Among Middle-Aged and Older Adults in India’”
    Authors: A. Saha, T. Muhammad, B. Mandal, D. Govil, W. Ali
    Journal: Preventive Medicine Reports
    Year: 2024
  10. “Morbidity Pattern of Hospitalization and Associated Out-of-Pocket Expenditure: Evidence from NSSO (2017-2018)”
    Authors: A. Saha, D. Govil
    Journal: International Journal of Research – GRANTHAALAYAH
    Year: 2021

 

Linzhe Wang | Environmental Science | Best Researcher Award

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Mr. Linzhe Wang | Environmental Science | Best Researcher Award

Postgraduate at Beijing Information Science & Technology University, China.

Linzhe Wang is a dedicated researcher currently pursuing a master’s degree in electronic information engineering at Beijing Information Science & Technology University. His research interests primarily focus on developing paper-based microfluidic chips for water quality detection and microsensors for detecting heavy metals in water. Linzhe possesses a diverse set of research skills, including experimental design, data analysis, instrumentation, literature review, problem-solving, and collaboration. These skills enable him to conduct rigorous scientific investigations, interpret complex datasets, and contribute meaningfully to advancements in his field. Linzhe’s commitment to addressing critical environmental challenges underscores his potential to make significant contributions to the field of water quality monitoring and management.

Professional Profiles:

Education:

Linzhe Wang completed his bachelor’s degree in automation from Henan University, Kaifeng, Henan, China. Currently, Linzhe is pursuing a master’s degree in electronic information engineering at Beijing Information Science & Technology University, Beijing, China. His academic journey showcases a strong foundation in engineering, particularly in the fields of automation and electronic information engineering.

Research Interest

Linzhe Wang’s research interests encompass two key areas: paper-based microfluidic chips for water quality detection and microsensors for detecting heavy metals in water. In the realm of paper-based microfluidic chips, Linzhe is engaged in the development of innovative platforms aimed at accurately assessing water quality parameters. This pursuit likely involves exploring novel fabrication techniques and integrating advanced sensing technologies into paper-based systems. Additionally, Linzhe is committed to advancing the field of microsensor technology, particularly in the realm of heavy metal detection in water. His research involves designing and optimizing sensitive and selective sensor platforms capable of detecting specific heavy metal contaminants, such as cadmium, lead, and mercury. Linzhe’s work underscores his dedication to addressing critical environmental challenges and advancing the field of water quality monitoring and management.

Research Skills

Linzhe Wang’s research skills are multifaceted and tailored to his field of study. He excels in experimental design, adept at crafting controlled experiments and protocols to ensure reliable outcomes. With a keen grasp of statistical methods and data analysis tools, Linzhe interprets complex datasets with precision, extracting meaningful insights to drive his research forward. Linzhe is well-versed in instrumentation, confidently operating an array of laboratory equipment crucial for his experiments. His meticulous literature reviews contextualize his work within existing scholarship, guiding the trajectory of his research endeavors. Linzhe’s problem-solving prowess enables him to navigate challenges seamlessly, refining methodologies and optimizing protocols. Additionally, his collaborative spirit fosters synergistic teamwork, enhancing innovation and propelling scientific progress. Linzhe Wang’s comprehensive research skills empower him to undertake rigorous investigations, contribute significant findings, and advance knowledge in his field.

Publications

  1. An Electrochemical Sensor Based on Three-Dimensional Porous Reduced Graphene and Ion Imprinted Polymer for Trace Cadmium Determination in Water
    • Authors: Wang, L., Hu, J., Wei, W., Gao, G., Qin, L.
    • Year: 2023
    • Publication: Sensors, 23(23), 9561
  2. Ion Imprinted Polymers Integrated into a Multi-Functional Microfluidic Paper-Based Analytical Device for Trace Cadmium Detection in Water
    • Authors: Hu, J., Wang, L., Song, Y., Wu, J., Mulchandani, A.
    • Year: 2023
    • Publication: Analytical Methods, 16(2), pp. 179–188

 

 

 

Gerard Deepak | Human-Computer Interaction | Excellence in Research

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Dr. Gerard Deepak | Human-Computer Interaction | Excellence in Research

Assistant Professor at Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India.

Dr. Gerard Deepak is a highly accomplished researcher in computer science and engineering, holding a Ph.D. from the National Institute of Technology Tiruchirappalli. His expertise spans artificial intelligence, semantic intelligence, explainable AI, ontology modeling, and machine learning. With a commitment to excellence, Dr. Deepak has authored numerous publications and received prestigious awards for his research contributions. His work focuses on advancing knowledge in diverse areas such as web search diversification, knowledge representation, and reasoning. Dr. Deepak’s dedication to both teaching and research underscores his passion for mentoring future generations of scholars while making significant contributions to the field.

Professional Profiles:

🎓 Education

Dr. Gerard Deepak completed his Doctor of Philosophy in Computer Science and Engineering from the National Institute of Technology Tiruchirappalli, India, between July 2018 and December 2021. His thesis, titled “Formalization of Knowledge Centric Paradigms for Diversification of Web Search Encompassing Semantic Artificial Intelligence,” achieved a perfect CGPA of 10/10, and the degree has been awarded. Prior to this, he earned a Master of Technology in Computer Science and Engineering from the University Visvesvaraya College of Engineering, Bangalore University, Bangalore, from October 2014 to December 2016. His dissertation focused on “Collaborative Ontology Modeling Using Review Based Strategy,” and he graduated with a distinction and rank 1, securing a percentage of 90.10%. Dr. Deepak also holds a Bachelor of Technology in Information Technology from Anna University, Chennai, completed between September 2008 and May 2012, with a CGPA of 9.01, graduating with distinction.

Professional Experience

Dr. Gerard Deepak has over a decade of experience in teaching and industry roles. Since June 2022, he has been serving as an Assistant Professor at the Manipal Institute of Technology, Bengaluru, under the Manipal Academy of Higher Education. Before this, he worked at the National Institute of Technology Tiruchirappalli as a Junior and Senior Research Fellow from July 2018 to December 2021, contributing to various research projects in the Department of Computer Engineering. From April 2018 to May 2022, Dr. Deepak held the position of Data Specialist Engineer at SpaceAge Infotech, Bangalore, where he was involved in data engineering and analysis. Prior to this, he was an Assistant Professor at Christ University, Bangalore, from May 2017 to April 2018, engaging in teaching and academic development activities. Earlier in his career, Dr. Deepak worked as a Data Specialist Engineer at Usable Bytes Pvt. Ltd., Pune, from February 2016 to May 2017. He started his professional journey at Cognizant Technology Solutions, India, where he served as a Programmer Analyst from November 2012 to September 2014, developing course notes, assignments, lab manuals, and tutorials for Software Engineering and C-Programming subjects.

Research Interest

Dr. Gerard Deepak’s research interests span a diverse range of cutting-edge topics within the field of computer science and engineering. He is particularly focused on Artificial Intelligence, exploring innovative approaches and applications to solve complex problems. His work in Semantic Intelligence aims to enhance machine understanding and processing of human languages through advanced semantic analysis. Dr. Deepak is also dedicated to eXplainable AI, developing models that are transparent, interpretable, and explainable to humans, thus bridging the gap between complex algorithms and user comprehension. In the realm of Next Generation Web, he investigates advancements in web technologies and their impact on user experiences and interactions.

🏆 Awards and Honors

Dr. Gerard Deepak has been recognized extensively for his contributions to research and academia. Notably, he was listed among the top 2% of global scientists by Stanford University in 2022 for his work in Artificial Intelligence. He received the Best Researcher Award from the National Institute of Technology Tiruchirappalli for the academic years 2019-2020 and 2020-2021. Dr. Deepak has earned several Best Paper Awards, including for “DLKIA” and “KCVR” at the International Science Fiction Online Conference (2020), and at conferences like ETTIS-2021, ICEEE (2021), and ICINPRO (2019). He also secured Best Poster Awards at NCCOCE 18’ and accolades at multiple national conferences. Additionally, he was awarded a Proficiency Certificate for his overall performance in co-curricular activities by Adhiyamaan College of Engineering.

🧪 Research Skills

Dr. Gerard Deepak possesses a comprehensive set of research skills that underpin his extensive contributions to the field of computer science and engineering. He has expertise in developing and applying Artificial Intelligence (AI) algorithms to solve complex problems, and is proficient in semantic analysis for enhancing machine understanding of human languages through Semantic Intelligence. Dr. Deepak is skilled in creating transparent, interpretable AI models as part of his work in eXplainable AI (XAI), ensuring clarity and trust in AI systems. His research also focuses on investigating and advancing web technologies to improve user experiences and interactions within the realm of Next Generation Web. Additionally, he excels in Ontology Modeling, designing formal knowledge representations to enhance data interoperability and understanding. Dr. Deepak’s capabilities extend to Knowledge Representation and Reasoning, where he develops models and reasoning algorithms to extract valuable insights from data. Furthermore, he is adept at building and utilizing Knowledge Graphs for structured information organization, and applying advanced Machine Learning and Deep Learning techniques to various domains, thereby enhancing predictive modeling and data analysis capabilities.

Publications

  1. QGMS: A Query Growth Model for Personalization and Diversification of Semantic Search Based on Differential Ontology Semantics Using Artificial Intelligence
    • Authors: Deepak, G., Santhanavijayan, A.
    • Year: 2024
    • Publication: Computational Intelligence, 40(1), e12514
  2. ATRSI: Automatic Tag Recommendation for Videos Encompassing Semantic Intelligence
    • Authors: Deepak, G., Iyer, K., Shukla, S.
    • Year: 2024
    • Publication: Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 594–599
  3. SITSL: Strategic Image Tag Recommendation Framework Encompassing Semantics Oriented Learning and Reasoning
    • Authors: Kumari, R., Deepak, G.
    • Year: 2024
    • Publication: Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 600–604
  4. SIFVT: A Semantically Inclined Framework for Financial Video Tagging
    • Authors: Vijay, M., Gowrav, M., Deepak, G., Pushpa, C.N.
    • Year: 2024
    • Publication: Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 588–593
  5. IDTCKS: An Intelligent Integrative Approach for Disaster Tweet Classification and Disaster-Related Document Classification Using Knowledge-Driven Hybrid Semantics
    • Authors: Nama, V., Deepak, G.
    • Year: 2024
    • Publication: Lecture Notes in Networks and Systems, 893, pp. 431–442
  6. The IoT Resource Allocation and Scheduling Using Elephant Herding Optimization (EHO-RAS) in IoT Environment
    • Authors: Mageswari, U., Deepak, G., Santhanavijayan, A., Mala, C.
    • Year: 2024
    • Publication: International Journal of Information Technology (Singapore)
  7. DESI: Diversification of E-Commerce Recommendations Using Semantic Intelligence
    • Authors: Deepak, G., Anavkar, H.V.
    • Year: 2024
    • Publication: Communications in Computer and Information Science, 2047 CCIS, pp. 144–155
  8. OntoOpinionMiner: An Opinion Mining Algorithm for Drug Reviews
    • Authors: Srivastava, R., Deepak, G.
    • Year: 2024
    • Publication: Communications in Computer and Information Science, 2030, pp. 221–234
  9. MLSM: A Metadata Driven Learning Infused Semantics Oriented Model for Web Image Recommendation via Tags
    • Authors: Shrivastava, R.R., Deepak, G.
    • Year: 2024
    • Publication: Communications in Computer and Information Science, 1978 CCIS, pp. 38–46
  10. SemVidRec: A Semantic Approach to Annotations Driven Video Recommendation Model Incorporating Machine Intelligence
    • Authors: Adesh, A., Deepak, G., Santhanavijayan, A.
    • Year: 2024
    • Publication: Communications in Computer and Information Science, 1978 CCIS, pp. 1–13

 

 

XianLing Cao | Genetics and Genomics | Best Researcher Award

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Mr. XianLing Cao | Genetics and Genomics | Best Researcher Award

Doctor of Medicine, MD at Shandong University of Traditional Chinese Medicine, China; Fudan University, China.

Dr. Xianling Cao is a dedicated researcher specializing in Obstetrics and Gynecology with a focus on Reproductive Medicine and Traditional Chinese Medicine (TCM). Holding a Doctor of Medicine degree, she completed her education at esteemed institutions such as Shandong University of Traditional Chinese Medicine and Fudan University in China. Dr. Cao’s professional journey includes postdoctoral research at Shandong University’s Affiliated Hospital and previous academic contributions at Fudan University’s Obstetrics and Gynecology Hospital. With a keen interest in placental dysfunction disorders and TCM interventions, she has published extensively, including SCI papers and collaborative projects. Dr. Cao’s work demonstrates a commitment to advancing knowledge in her field and improving reproductive health outcomes.

Professional Profiles:

Education:

Dr. Xianling Cao holds a Doctor of Medicine degree in Obstetrics and Gynecology, specializing in Reproductive Medicine and Traditional Chinese Medicine. She obtained her MD from Shandong University of Traditional Chinese Medicine, China, and furthered her education at Fudan University, China. With a focus on advancing women’s health, Dr. Cao’s academic journey has been marked by rigorous training and research endeavors. Her expertise encompasses the intricate interplay between modern medical practices and traditional healing modalities. Throughout her educational pursuit, Dr. Cao has demonstrated a steadfast commitment to expanding knowledge in her field, positioning herself as a promising scholar at the intersection of Western medicine and traditional Chinese therapies.

Professional Experience

Dr. Xianling Cao brings a wealth of professional experience in the field of Obstetrics and Gynecology, with a specialized focus on Reproductive Medicine and Traditional Chinese Medicine. Her career trajectory includes significant roles at esteemed institutions such as Shandong University of Traditional Chinese Medicine and Fudan University. Currently serving as a postdoctoral researcher at the Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Dr. Cao has demonstrated her expertise in both clinical practice and research. Her professional journey is characterized by a relentless pursuit of excellence in patient care, coupled with a commitment to advancing the frontiers of medical knowledge through scholarly inquiry and scientific investigation. Dr. Cao’s contributions to the field underscore her dedication to improving women’s health outcomes and her role as a respected authority in the intersection of modern and traditional medical practices.

Research Interest

Dr. Xianling Cao’s research interests lie at the intersection of Obstetrics and Gynecology, with a particular focus on Placental Dysfunction Disorders and interventions utilizing Traditional Chinese Medicine (TCM). She is deeply committed to unraveling the complexities surrounding reproductive health, with an emphasis on understanding the pathophysiology of placental dysfunction and exploring innovative therapeutic strategies rooted in TCM principles. Dr. Cao’s research endeavors aim to shed light on the underlying mechanisms of reproductive disorders, such as preterm birth and infertility, and to develop novel approaches for their management and treatment. By integrating modern scientific methodologies with the rich knowledge base of TCM, she seeks to bridge the gap between conventional and complementary medicine, ultimately enhancing the quality of care for women worldwide. Dr. Cao’s passion for research is fueled by a profound sense of purpose to make meaningful contributions to the field and improve patient outcomes through evidence-based practice and innovation.

Award and Honors

Dr. Xianling Cao has garnered notable recognition and accolades for her exemplary contributions to the field of Obstetrics and Gynecology, particularly in the realm of reproductive medicine and Traditional Chinese Medicine (TCM). Her outstanding achievements have earned her prestigious awards and honors, acknowledging her significant impact on advancing scientific knowledge and clinical practice in the field. Dr. Cao’s dedication to excellence, coupled with her innovative research initiatives and scholarly contributions, has consistently distinguished her as a leading figure in her field. These awards serve as a testament to her unwavering commitment to advancing women’s health and pioneering novel approaches to address reproductive health challenges.

Research Skills

Dr. Xianling Cao possesses a robust set of research skills honed through years of dedicated academic and professional pursuits. Her expertise spans various facets of research methodology, including study design, data collection, statistical analysis, and interpretation of findings. Proficient in both quantitative and qualitative research approaches, Dr. Cao demonstrates exceptional competence in conducting systematic literature reviews, meta-analyses, and clinical trials. Moreover, her adeptness in utilizing advanced research tools and technologies facilitates the exploration of complex research questions and the generation of meaningful insights. Dr. Cao’s proficiency in scientific writing and communication further enhances her ability to disseminate research findings effectively through peer-reviewed publications, presentations, and academic forums. With a keen eye for detail and a commitment to methodological rigor, she consistently upholds the highest standards of scientific inquiry, contributing to the advancement of knowledge in her field.

Publications

  • Parental mosaicism detection and preimplantation genetic testing in families with multiple transmissions of de novo mutations
    • Authors: N. Xu, W. Shi, X. Cao, S. Chen, C. Xu
    • Journal: Journal of Medical Genetics, 2023, 60(9), pp. 910–917
    • Citations: 2
  • Proinflammatory changes in the maternal circulation, maternal-fetal interface, and placental transcriptome in preterm birth: a comment
    • Authors: X. Cao, S. Chen, C. Xu
    • Journal: American Journal of Obstetrics and Gynecology, 2023, 228(6), pp. 763–764
    • Citations: 2
  • Preimplantation Genetic Testing (PGT) and Prenatal Diagnosis of Schaaf-Yang Syndrome: A Report of Three Families and a Research on Genotype–Phenotype Correlations
    • Authors: N. Xu, W. Shi, X. Cao, S. Chen, C. Xu
    • Journal: Journal of Clinical Medicine, 2023, 12(4), 1688
    • Citations: 1
  • Mechanism of Guilu Erxian ointment based on targeted metabolomics in intervening in vitro fertilization and embryo transfer outcome in older patients with poor ovarian response of kidney-qi deficiency type
    • Authors: Y. Ma, J. Song, X. Cao, Z. Sun
    • Journal: Frontiers in Endocrinology, 2023, 14, 1045384
    • Citations: 1
  • Integration of transcriptomics and metabolomics reveals the responses of the maternal circulation and maternal-fetal interface to LPS-induced preterm birth in mice
    • Authors: X. Cao, X. Zhou, S. Chen, C. Xu
    • Journal: Frontiers in Immunology, 2023, 14, 1213902
    • Citations: 0
  • Progress in the application of PGT in hereditary tumors
    • Authors: X. Cao, X. Zhou, S. Chen, H. Huang, C. Xu
    • Journal: China Oncology, 2022, 32(11), pp. 1037–1043
    • Citations: 0
  • Association of urinary bisphenol A concentrations with in vitro fertilisation outcomes: a systematic review and meta-analysis protocol
    • Authors: X.-L. Cao, N.-X. Xu, X.-Y. Zhou, C.-M. Xu
    • Journal: BMJ Open, 2022, 12(11), e063930
    • Citations: 0
  • Quantitative label-free proteomic analysis of human follicle fluid to identify novel candidate protein biomarker for endometriosis-associated infertility
    • Authors: X.-L. Cao, J.-Y. Song, Z.-G. Sun
    • Journal: Journal of Proteomics, 2022, 266, 104680
    • Citations: 6
  • Integrative analysis of circulating microRNAs and the placental transcriptome in recurrent pregnancy loss
    • Authors: N. Xu, X. Zhou, W. Shi, S. Chen, C. Xu
    • Journal: Frontiers in Physiology, 2022, 13, 893744
    • Citations: 5
  • Association of IL-4 and IL-10 Polymorphisms With Preterm Birth Susceptibility: A Systematic Review and Meta-Analysis
    • Authors: X.-L. Cao, X.-Y. Zhou, N.-X. Xu, S.-C. Chen, C.-M. Xu
    • Journal: Frontiers in Immunology, 2022, 13, 917383
    • Citations: 5

 

Zia Bashir | Mathematics | Best Researcher Award

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Assoc Prof Dr. Zia Bashir | Mathematics | Best Researcher Award

Associate Professor at Quaid-i-Azam University, Pakistan.

Dr. Zia Bashir is a highly accomplished mathematician with expertise in chaotic dynamical systems, game theory, and function spaces. He earned his Doctorate in Mathematics from Abdus Salam School of Mathematical Sciences, Government College University Lahore, with a commendable CGPA of 3.69 out of 4. Currently serving as an Associate Professor at Quaid-I-Azam University, Islamabad, Dr. Bashir has also held positions at the University of Central Punjab, Lahore, and the University of Sargodha, Lahore Campus. He has published extensively in prestigious international journals and actively supervises MPhil and PhD students. With proficiency in programming languages such as Python and MATLAB, along with expertise in AMS-Latex and Microsoft Office tools, Dr. Bashir excels in mathematical research and analysis. His research interests include the application of artificial intelligence tools in mathematical modeling and decision-making processes.

Professional Profiles:

Education:

Dr. Zia Bashir pursued his academic journey with a strong focus on mathematics. He earned his Doctorate in Mathematics from Abdus Salam School of Mathematical Sciences, Government College University Lahore, with a commendable CGPA of 3.69 out of 4. Prior to that, he completed his Bachelor of Science in Mathematics from the Department of Mathematics, University of the Punjab, Lahore, achieving an impressive CGPA of 3.83 out of 4. His educational background equipped him with a solid foundation in mathematical theory and analytical skills, paving the way for his successful career in academia and research.

Professional Experience

Dr. Zia Bashir has accumulated extensive professional experience in academia, contributing significantly to the field of mathematics. Since September 2021, he has served as an Associate Professor in the Department of Mathematics at Quaid-I-Azam University, Islamabad, Pakistan. Prior to his current role, he held positions as an Assistant Professor at the same institution from September 2015 to September 2021, and as an Assistant Professor at the Faculty of IT, University of Central Punjab, Lahore, Pakistan, from September 2013 to September 2015. Additionally, he worked as a Lecturer at the University of Sargodha, Lahore Campus, Pakistan, from February 2013 to September 2013. Throughout his career, Dr. Bashir has demonstrated a commitment to academic excellence, research, and mentorship, contributing to the advancement of mathematical knowledge and education.

Research Interest

Dr. Zia Bashir’s research interests span a broad spectrum within mathematics, covering diverse areas such as chaotic dynamical systems with artificial intelligence tools, game theory, decision-making models, and function spaces. His work delves into understanding the dynamics of chaotic systems and their intersections with artificial intelligence techniques. Furthermore, he investigates game-theoretic frameworks and decision-making processes, aiming to analyze strategic interactions and optimize outcomes. Additionally, Dr. Bashir explores the properties and structures of various function spaces, including their embeddings, norms, and topological properties. Through his interdisciplinary approach, Dr. Bashir demonstrates a commitment to advancing mathematical knowledge and its practical applications across multiple domains.

Award and Honors

Dr. Zia Bashir has received several prestigious awards and honors throughout his academic career. His notable recognitions include an Honorarium of $1240 for his paper “Optimal embeddings of generalized Besov spaces” by the Eurasian Mathematical Journal. Additionally, he was awarded a commendable performance award for his outstanding performance in the 1st-year coursework at the Abdus Salam School of Mathematical Sciences. Furthermore, Dr. Bashir has been granted a Merit scholarship during his Bachelor of Science in Mathematics and received the HEC Indigenous 5000 PhD Fellowship for his MPhil leading to a Ph.D. These accolades underscore his academic excellence and dedication to advancing mathematical research.

Research Skills

Dr. Zia Bashir possesses a diverse range of research skills that have contributed to his success in the field of mathematics. He is proficient in conducting advanced mathematical analyses and has a deep understanding of various mathematical concepts and theories. His expertise extends to areas such as chaotic dynamical systems, game theory, function spaces, and decision-making models. Dr. Bashir is skilled in utilizing artificial intelligence tools to study complex systems and has a strong background in computational mathematics. He is adept at designing and implementing mathematical models to address real-world problems and has demonstrated proficiency in programming languages such as Python and MATLAB. Additionally, Dr. Bashir is experienced in using AMS-Latex for writing mathematical documents and Microsoft Office tools for data analysis and presentation. His comprehensive research skills enable him to make significant contributions to the field of mathematics and address complex scientific challenges effectively.

Publications

  1. Chaos analysis of nonlinear variable order fractional hyperchaotic Chen system utilizing radial basis function neural network
    • Authors: S. Hussain, Z. Bashir, M.G.A. Malik
    • Journal: Cognitive Neurodynamics, 2024
    • Citations: 0
  2. Exploring the stochastic patterns of hyperchaotic Lorenz systems with variable fractional order and radial basis function networks
    • Authors: M. Awais, M.A. Khan, Z. Bashir
    • Journal: Cluster Computing, 2024
    • Citations: 0
  3. Image pixels swapping encryption based on the TetraVex game and a publicly hash-sharing algorithm
    • Authors: M. Hussain, N. Iqbal, Z. Bashir
    • Journal: Cluster Computing, 2024
    • Citations: 1
  4. A cubic q-rung orthopair fuzzy TODIM method based on Minkowski-type distance measures and entropy weight
    • Authors: J. Ali, Z. Bashir, T. Rashid
    • Journal: Soft Computing, 2023, 27(20), pp. 15199–15223
    • Citations: 5
  5. A q-rung orthopair hesitant fuzzy stochastic method based on regret theory with unknown weight information
    1. Authors: J. Ali, Z. Bashir, T. Rashid, W.K. Mashwani
    2. Journal: Journal of Ambient Intelligence and Humanized Computing, 2023, 14(9), pp. 11935–11952
    3. Citations: 13
  6. A study on the normality of Wijsman topology of a fuzzy metric space
    • Authors: Z. Bashir, A. Ullah
    • Journal: Soft Computing, 2023, 27(1), pp. 17–23
    • Citations: 1
  7. A chaotic image encryption scheme based on multi-directional confusion and diffusion operations
    • Authors: M. Hussain, N. Iqbal, Z. Bashir
    • Journal: Journal of Information Security and Applications, 2022, 70, 103347
    • Citations: 10
  8. A multi-criteria group decision-making approach based on revised distance measures under dual hesitant fuzzy setting with unknown weight information
    • Authors: J. Ali, Z. Bashir, T. Rashid
    • Journal: Soft Computing, 2022, 26(17), pp. 8387–8401
    • Citations: 8
  9. Asymptotic Analysis of Low Energy Extremals with Γ-Convergence in Variable Exponent Lebesgue Spaces
    • Authors: A. Siddique, A. Shekhovtsov, Z. Bashir, W. Sałabun
    • Journal: Fractal and Fractional, 2022, 6(3), 128
    • Citations: 0
  10. On distance measure and TOPSIS model for probabilistic interval-valued hesitant fuzzy sets: application to healthcare facilities in public hospitals
    1. Authors: J. Ali, Z. Bashir, T. Rashid
    2. Journal: Grey Systems, 2022, 12(1), pp. 197–229
    3. Citations: 17

 

Beda Innocent ADJI | Biological Sciences | Scientific Excellence Achievement Award

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Dr. Beda Innocent ADJI | Biological Sciences | Scientific Excellence Achievement Award

Ph. d student at University of Iceland, Iceland.

Beda Innocent Adji is a dedicated researcher in the field of agricultural and forestry sciences, driven by a passion for advancing our understanding of plant biodiversity, adaptation, and resilience in tropical ecosystems. His academic journey is marked by a series of notable achievements, including post-doctoral studies in Biotechnology and Molecular Biology at the Institut de Recherche pour le Développement (IRD, France), where he focused on the RNA-RainForStory project in the Congo Basin. Prior to this, he pursued post-doctoral research in Digital and Computational Plant Sciences, collaborating between institutions in France and China. Beda’s doctoral studies, specializing in Genetics and Plant Improvement, earned him the prestigious mention of “Très honorable,” reflecting the excellence of his research contributions. His expertise spans experimental design, data analysis, genetic and molecular techniques, computational modeling, and interdisciplinary collaboration. Through his work, Beda aims to develop innovative strategies for enhancing the productivity and sustainability of agroforestry systems, contributing to global efforts in biodiversity conservation and climate resilience.

Professional Profiles:

Education:

Beda Innocent Adji’s educational journey is characterized by a rich tapestry of academic accomplishments across various domains of agricultural and forestry sciences. His pursuit of knowledge culminated in several notable degrees and achievements. Notably, he completed post-doctoral studies in Biotechnology and Molecular Biology at the Institut de Recherche pour le Développement (IRD, France) in 2024, focusing on the RNA-RainForStory project in the Congo Basin. Prior to this, in 2023, he undertook post-doctoral research in Digital and Computational Plant Sciences, a collaborative program between the Académie des Sciences et Lettres de l’Université de Montpellier (France) and the Institut d’Automatisation et des Systèmes Complexes d’Intelligence Artificielle Multimodaux de l’Académie Chinoise des Sciences (CASIA, China). Earlier, he earned his Doctorate in Tropical Agriculture and Forestry, specializing in Genetics and Plant Improvement, from Université Jean Lorougnon Guédé (UJLoG, Côte d’Ivoire) in conjunction with CIRAD and IRD, France, where he received the prestigious mention of “Très honorable.” These accomplishments underscore Beda’s dedication to academic excellence and his significant contributions to the field of agricultural and forestry sciences.

Professional Experience

Beda Innocent Adji’s professional journey is characterized by his substantial contributions and expertise in the field of agricultural and forestry sciences. As a permanent researcher at the Université Jean Lorougnon Guédé and an associate researcher at both IRD and CIRAD, Beda seamlessly blends academic rigor with practical application. His role involves spearheading various research projects focusing on forest genomics, plant improvement, botanical studies, and plant modeling. Beda’s extensive professional experience spans across international collaborations, where he actively engages in interdisciplinary research endeavors. Through his work, Beda has established himself as a prominent figure in the scientific community, continuously striving to advance knowledge and address critical issues in tropical agriculture and forestry. His dedication to research excellence and commitment to fostering sustainable practices underscore his significant impact in the field.

Research Interest

Beda Innocent Adji’s research interests revolve around advancing our understanding of plant biodiversity, adaptation, and resilience in tropical ecosystems. He is particularly interested in forest genomics, plant improvement, botanical studies, and plant modeling. Beda’s work aims to unravel the genetic mechanisms underlying plant traits and their response to environmental stressors. Through interdisciplinary approaches, including genetic and molecular techniques, computational modeling, and image analysis, he seeks to develop innovative strategies for enhancing the productivity and sustainability of agroforestry systems. Additionally, Beda is passionate about exploring the potential of emerging technologies, such as digital and computational plant sciences, to revolutionize agricultural practices and mitigate the impacts of climate change on plant communities. His research endeavors are driven by a commitment to safeguarding biodiversity and promoting the resilience of tropical plants in the face of evolving environmental challenges.

Award and Honors

Beda Innocent Adji has received recognition for his outstanding academic achievements and contributions to the field of agricultural and forestry sciences. Notably, he was awarded the prestigious mention of “Très honorable” for his doctoral thesis in Tropical Agriculture and Forestry, highlighting the excellence of his research work and its significance in advancing knowledge in the field. This honor underscores Beda’s dedication to academic excellence and his significant contributions to the scientific community. Additionally, his contributions to international research collaborations and interdisciplinary studies further solidify his reputation as a respected figure in the field. Through his exceptional research endeavors, Beda continues to make valuable contributions to the advancement of agricultural and forestry sciences, earning him accolades and recognition from peers and institutions alike.

Research Skills

Beda Innocent Adji possesses a diverse and comprehensive set of research skills essential for conducting rigorous and impactful research in agricultural and forestry sciences. He excels in designing robust experimental protocols, ensuring the reliability and validity of research outcomes. Proficient in collecting and analyzing data using various methods, including field observations and statistical analyses, Beda employs both quantitative and qualitative approaches to extract meaningful insights. His expertise in genetic and molecular techniques enables him to investigate plant genetics and molecular pathways effectively. Additionally, Beda demonstrates proficiency in computational modeling and image analysis, allowing him to simulate biological processes and analyze plant specimens with precision. He collaborates seamlessly with researchers from diverse disciplines, leveraging their expertise to address complex research questions. Furthermore, Beda’s effective communication skills ensure the dissemination of his research findings through oral presentations, written reports, and peer-reviewed publications. With a passion for advancing agricultural and forestry sciences, Beda is well-equipped to make significant contributions to the field and tackle pressing challenges in plant biodiversity, adaptation, and sustainability.

Publications

  1. Stochastic modelling of development and biomass allocation: Computation applied to architecture of young mahogany trees (Khaya senegalensis Desr. A. Juss), a native African savannah emblematic agroforestry species
    • Authors: B.I. Adji, X. Wang, V. Letort, M. Jaeger, P. De Reffye
    • Journal: Computers and Electronics in Agriculture, 2024, 220, 108864
  2. Rethinking Iconic Species Reforestation in West Africa: Seed Shape Harnessing Is Strategic for Enhanced Germination and Vigorous Growth in Khaya senegalensis and Parkia biglobosa
    • Authors: B.I. Adji, V. Letort, X. Wang, S. Sabatier, D.S. Akaffou
    • Journal: Forests, 2023, 14(7), 1311
    • Citations: 1
  3. Variation in growth unit morphology in Khaya senegalensis (Desr.) A. Juss. (Meliaceae) and Pterocarpus erinaceus Poir. (Fabaceae) according to habitat and climate | Variation de la morphologie des unités de croissance des essences Khaya senegalensis (Desr.) A. Juss. (Meliaceae) et Pterocarpus erinaceus Poir. (Fabaceae) selon l’habitat et le climat
    • Authors: B.I. Adji, D.S. Akaffou, S. Sabatier
    • Journal: Bois et Forets des Tropiques, 2022, 354(4), pp. 41–54
    • Citations: 1
  4. Correction to: Maternal environment and seed size are important for successful germination and seedling establishment of Pterocarpus erinaceus (Fabaceae)
    • Authors: B.I. Adji, D.S. Akaffou, P. De Reffye, S. Sabatier
    • Journal: Journal of Forestry Research, 2022, 33(6), pp. 1957
  5. Maternal environment and seed size are important for successful germination and seedling establishment of Pterocarpus erinaceus (Fabaceae)
    • Authors: B.I. Adji, D.S. Akaffou, P. De Reffye, S. Sabatier
    • Journal: Journal of Forestry Research, 2022, 33(3), pp. 977–990
    • Citations: 3
  6. Allometric models for non-destructive estimation of dry biomass and leaf area in Khaya senegalensis (Desr.) A. Juss., 1830 (Meliaceae), Pterocarpus erinaceus Poir., 1804 (Fabaceae) and Parkia biglobosa, Jack, R. Br., 1830 (Fabaceae)
    • Authors: B.I. Adji, D.S. Akaffou, K.H. Kouassi, M. Jaeger, S. Sabatier
    • Journal: Trees – Structure and Function, 2021, 35(6), pp. 1905–1920
    • Citations: 5
  7. Correction to: Allometric models for non-destructive estimation of dry biomass and leaf area in Khaya senegalensis (Desr.) A. Juss (Meliaceae), Pterocarpus erinaceus Pear. (Fabaceae) and Parkia biglobosa, Jack, R. Br. (Fabaceae)
    • Authors: B.I. Adji, D.S. Akaffou, K.H. Kouassi, M. Jaeger, S. Sabatier
    • Journal: Trees – Structure and Function, 2021, 35(5), pp. 1747

 

MANUEL FUERTES RECUERO | Veterinary Science | Best Researcher Award

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Mr. MANUEL FUERTES RECUERO | Veterinary Science | Best Researcher Award

Ph.d candidate at Complutense University of Madrid, Spain.

Manuel Fuertes Recuero is a dedicated veterinarian with a passion for clinical practice, teaching, and research. Graduating with honors from the Complutense University of Madrid, he has amassed extensive experience in emergency surgery, small animal surgery, and anesthesia both in Spain and abroad. Manuel serves as an assistant professor at the UCM Faculty of Veterinary Medicine, where he shares his knowledge with aspiring veterinarians. His research interests focus on advancing surgical techniques, anesthesia protocols, and trauma care in small animals, aiming to enhance patient outcomes. Beyond his academic and clinical roles, Manuel actively participates in international projects and volunteering initiatives, underscoring his commitment to global veterinary health and community outreach. With his comprehensive expertise and unwavering dedication, Manuel Fuertes Recuero continues to make significant contributions to veterinary medicine, driven by his passion for improving animal welfare.

Professional Profiles:

Education:

Manuel Fuertes Recuero is currently pursuing his doctoral studies (PhD) at the UCM Faculty of Veterinary Medicine, a journey he embarked on in 2020. In addition to his doctoral research, he is working towards a Postgraduate Diploma in Small Animal Surgery and Anaesthesia at the Universidad Autónoma de Barcelona, a program he joined in 2022. Manuel holds a degree in Veterinary Medicine from the Complutense University of Madrid, where he studied from 2013 to 2018 and graduated with a commendable grade point average of 8.24. This educational background underscores his dedication to continuous learning and specialization in the field of veterinary medicine.

Professional Experience

Manuel Fuertes Recuero boasts a wealth of professional experience in veterinary medicine, particularly specializing in emergency surgery and clinical practice. Currently serving as an Emergency Surgeon at Veterios Veterinary Hospital in Madrid since July 2022, he previously held similar positions at Veterinary Hospital Madrid Norte and Veterinary Hospital Guadarrama Eurocan from January 2021 to September 2022. Manuel’s background includes an advanced internship in small animal surgery at the Hospital Clínico Veterinario Complutense in Madrid (January 2020-April 2021) and roles as a veterinarian at various clinics in Spain and abroad. His international exposure includes working at Companion Care Sprowston Vets4pets in Norwich, England, and participating in a development cooperation project in Thailand. This diverse range of experiences highlights his expertise in emergency veterinary care and his global perspective in the field.

Research Interest

Manuel Fuertes Recuero’s research interests revolve around advancing the field of veterinary medicine, particularly in the areas of small animal surgery, anesthesia, and trauma care. His doctoral studies focus on exploring innovative surgical techniques and anesthesia protocols to enhance patient outcomes and minimize surgical risks. Manuel is also interested in investigating the pathophysiology of traumatic injuries in animals and developing effective treatment strategies to improve their quality of life. Additionally, he is passionate about exploring the intersection of veterinary medicine with other disciplines, such as biotechnology and regenerative medicine, to pioneer new approaches for managing complex medical conditions in animals. Through his research, Manuel aims to contribute to the advancement of veterinary surgical practice and ultimately improve the welfare of animals.

Award and Honors

Throughout his veterinary career, Manuel Fuertes Recuero has garnered prestigious awards and honors that underscore his commitment to excellence and contribution to the field. Notably, he received an Erasmus+ Scholarship from the Complutense University of Madrid in recognition of his outstanding academic achievements during his tenure at Hamilton Referral Hospital in London in 2018. Additionally, Manuel’s participation in the development cooperation project “Veterinarians in Thailand” earned him recognition from the Faculty of Veterinary Medicine, Complutense University of Madrid, and the Illustrious College of Veterinarians of Madrid in the same year. These accolades showcase Manuel’s dedication to advancing veterinary medicine and his significant impact within the profession, both locally and internationally.

Research Skills

Manuel Fuertes Recuero possesses a versatile array of research skills crucial for advancing veterinary medicine. His proficiency begins with conducting thorough literature reviews to discern pertinent information and identify gaps in existing research. With a keen eye for experimental design, Manuel formulates precise methodologies, considering variables and controls to ensure the validity and reliability of results. Proficient in data collection through various means like clinical observations and laboratory assays, he adeptly analyzes both quantitative and qualitative data using statistical software, ensuring accurate interpretation. Manuel’s strong critical thinking abilities enable him to dissect complex problems, crafting innovative solutions from multiple perspectives. His communication skills shine through articulate presentations, written reports, and scientific publications, tailored for diverse audiences. Furthermore, Manuel thrives in collaborative settings, valuing teamwork and actively contributing to multidisciplinary research endeavors. With these skills, Manuel Fuertes Recuero is poised to make meaningful contributions to veterinary research, thereby enhancing animal health and welfare.

Publications

Description of postoperative complications and bacterial contamination of wound soaker catheters used to administer postoperative local analgesia after mastectomy in 11 dogs: case series

    • Authors: M. Suárez-Redondo, M. Fuertes-Recuero, A. Guzmán-Soltero, J. Espinel-Rupérez, G. Ortiz-Diez
    • Journal: Veterinary Research Communications, 2024
    • Citations: 0

Pancreatic adenocarcinoma treated with surgical resection, toceranib phosphate and firocoxib in a dog: a case report

    • Authors: M. Fuertes-Recuero, E. Vázquez-Fernández, G. Lizasoain-Sánz, M. Suárez-Redondo, G. Ortiz-Diez
    • Journal: Veterinary Research Communications, 2024
    • Citations: 0

Do Barn Swallow nestlings incur an oxidative cost of begging?

    • Authors: M. Fuertes-Recuero, A. Cantarero, A.J. Redondo, N. Sánchez-Sánchez, T. Redondo
    • Journal: Journal of Ornithology, 2024, 165(1), pp. 231–239
    • Citations: 0

Light Microscopic, Ultrastructure Analysis and Functional Morphology of Cornu aspersum Spermatozoa Contained in the Frozen Hermaphroditic Duct

    • Authors: M. Fuertes-Recuero, C. Rojo, I. García-Cuenca, J.C.F. Pérez
    • Journal: International Journal of Morphology, 2023, 41(4), pp. 1219–1227
    • Citations: 0

A Spanish Survey on the Perioperative Use of Antimicrobials in Small Animals

    • Authors: I. Otero Balda, M. Fuertes-Recuero, S. Penelo Hidalgo, T. Ayllón-Santiago, G. Ortiz-Díez
    • Journal: Animals, 2023, 13(15), 2475
    • Citations: 1

Repeatable negotiation rules? only females show repeatable responses to partner removal in a brood-provisioning songbird

    • Authors: D. Baldan, M. Beccardi, M. Fuertes-Recuero, A. Pilastro, A. Cantarero
    • Journal: Biology Letters, 2023, 19(6), 20230136
    • Citations: 0

Animal Research in Spain: A Study of Public Perception and Attitudes

    • Authors: A. Miguel-Batuecas, M. Fuertes-Recuero, D. Díaz-Regañón, L. Revuelta, J.A. De Pablo-Moreno
    • Journal: Animals, 2023, 13(12), 2039
    • Citations: 0

Determination of the appropriate concentration of sodium alginate used for in vitro culture of cat preantral follicles in a serum-free medium containing FSH, EGF and IGF-I

    • Authors: M. Fuertes-Recuero, A. González-Gil, J.C.F. Pérez, I.G.-C. Ariati, R.A. Picazo
    • Journal: Reproduction in Domestic Animals, 2023, 58(5), pp. 670–678
    • Citations: 1

First Report of Polymelia in a Passerine Bird, the Pied Flycatcher

    • Authors: M. Fuertes-Recuero, D. Longhin, L. Chiesurin, J.C. Fontanillas Pérez, A. Cantarero
    • Journal: Ardea, 2023, 111(2)
    • Citations: 1

 

Adnan Abu-Mahfouz | Engineering | Best Researcher Award

Published on by Research Awards

Prof. Adnan Abu-Mahfouz, Engineering, Best Researcher Award

Professor at Council for Scientific and Industrial Research (CSIR), South Africa

Prof. Abu-Mahfouz is a distinguished researcher and academic in computer engineering. He holds a PhD and MEng from the University of Pretoria, South Africa, and a BSc in Information Engineering from the University of Baghdad, Iraq. Currently, he is the Centre Manager for Emerging Digital Technologies at CSIR NextGen Enterprises and Institutions and holds professorial roles at the University of Pretoria, Tshwane University of Technology, and the University of Johannesburg. Prof. Abu-Mahfouz excels in industrial-based R&D, particularly in the Internet of Things (IoT) and smart systems. He has secured over USD 4.5 million in research funding and has published extensively, with 139 journal articles and 136 conference papers. His work has earned him numerous awards, and his high H-index scores reflect his impactful research. Additionally, he has mentored over 70 postgraduate and postdoctoral researchers, contributing significantly to the academic and scientific community.

Professional Profiles:

Education

Prof. Abu-Mahfouz has an extensive and distinguished educational background in computer engineering. He earned his PhD in Computer Engineering from the University of Pretoria, South Africa, from 2007 to 2011. Prior to that, he completed his MEng in Computer Engineering, also at the University of Pretoria, from 2003 to 2005, graduating Cum Laude. His foundational education in engineering began with a BSc in Information Engineering from the University of Baghdad, Iraq, where he graduated in 2000 with an impressive 84.18%, earning the “First” rank in his class. Throughout his academic journey, Prof. Abu-Mahfouz has demonstrated consistent excellence, receiving numerous accolades such as Academic Honorary Colours from the Student Representative Council at the University of Pretoria for both his PhD and MEng degrees. His educational achievements have laid a strong foundation for his prolific research and professional career.

Professional Experience

Prof. Abu-Mahfouz is currently the Centre Manager for the CSIR NextGen Enterprises and Institutions (EDT4IR) since July 2020 and holds multiple professorial positions. He is an Extraordinary Professor at the University of Pretoria, a Professor Extraordinaire at Tshwane University of Technology, and a Visiting Professor at the University of Johannesburg. His previous roles include Principal Research Engineer and Senior Research Engineer at CSIR, and Chair of the Water Resource Management Network at the City of Tshwane. His early career includes positions as a Software Engineer, Network Administrator, and Faculty Coordinator at the Emirates College of Technology.

Research Interest

Professor Adnan Abu-Mahfouz’s research interests encompass a broad spectrum of topics in computer engineering and technology. His primary focus is on the Internet of Things (IoT), where he explores the design, implementation, and application of IoT systems, with a particular interest in smart infrastructure and smart cities. He is also deeply invested in network security, investigating methods to enhance the security and reliability of network systems, including cybersecurity measures and protocols. Additionally, he studies the development and optimization of wireless sensor networks (WSNs), which are crucial for monitoring and data collection in various environments. His work in cyber-physical systems (CPS) involves integrating physical processes with networked digital systems to ensure seamless interaction between the physical and virtual worlds. Prof. Abu-Mahfouz is also focused on industrial informatics, applying advanced informatics techniques to improve efficiency, productivity, and automation in industrial systems. Furthermore, he leverages artificial intelligence (AI) and machine learning (ML) algorithms to enhance the functionalities of technological systems, particularly in IoT and CPS. His interest in smart water management involves developing innovative solutions for water resource management using advanced technologies and smart systems. Lastly, he utilizes data analytics to extract meaningful insights from large datasets, particularly in the context of IoT and smart systems, addressing real-world challenges and promoting sustainable development through his research.

Award and Honors

Prof. Abu-Mahfouz has received numerous awards and honors in recognition of his contributions to research, innovation, and academic excellence. Among these accolades, he was awarded the “Career Growth CSIR Excellence Award” and the “Outstanding Contribution by a Team – Electronic Monitoring Team – Excellence Award” by the Council for Scientific and Industrial Research in 2022. He also received the “Outstanding Associate Editor of 2018” award from the IEEE Access Journal. His research excellence earned him the “Established Researcher CSIR Excellence Award” in 2018 and the “Emerging Leader Excellence Award” in 2015 from CSIR’s Meraka Institute. Furthermore, Prof. Abu-Mahfouz has been recognized by the University of Pretoria for his academic achievements, being listed in the top 15% of academic achievers and invited to join the Golden Key International Honour Society. These awards highlight his leadership, significant research contributions, and dedication to advancing science and technology.

Research Skills

Prof. Abu-Mahfouz possesses exceptional research skills that have significantly advanced his field. He has a proven track record in developing and implementing robust research and development (R&D) strategies, particularly in emerging digital technologies and the Internet of Things (IoT). His expertise in formulating large, multidisciplinary R&D proposals has secured over USD 4.5 million in funding, demonstrating his ability to attract substantial investment and drive impactful research projects. Prof. Abu-Mahfouz’s research skills are evidenced by his extensive publication record, which includes 139 journal articles, 136 conference papers, and 6 book chapters. His work is highly regarded, reflected in his H-index of 48 on Google Scholar and 39 on Scopus. Additionally, he has successfully supervised and mentored numerous postgraduate and postdoctoral researchers, further underscoring his leadership and mentorship in the research community. His role as an associate editor for several high-impact IEEE journals also highlights his expertise in evaluating and guiding cutting-edge research in his field.

Publications

A survey on 5G networks for the Internet of Things: Communication technologies and challenges

  • Authors: GA Akpakwu, BJ Silva, GP Hancke, AM Abu-Mahfouz
  • Year: 2017
  • Citations: 1473
  • Journal: IEEE Access
  • Volume: 6
  • Pages: 3619-3647

From industry 4.0 to agriculture 4.0: Current status, enabling technologies, and research challenges

  • Authors: Y Liu, X Ma, L Shu, GP Hancke, AM Abu-Mahfouz
  • Year: 2020
  • Citations: 620
  • Journal: IEEE Transactions on Industrial Informatics
  • Volume: 17
  • Issue: 6
  • Pages: 4322-4334

A survey on software-defined wireless sensor networks: Challenges and design requirements

  • Authors: HI Kobo, AM Abu-Mahfouz, GP Hancke
  • Year: 2017
  • Citations: 541
  • Journal: IEEE Access
  • Volume: 5
  • Pages: 1872-1899

Software defined wireless sensor networks application opportunities for efficient network management: A survey

  • Authors: KM Modieginyane, BB Letswamotse, R Malekian, AM Abu-Mahfouz
  • Year: 2018
  • Citations: 268
  • Journal: Computers & Electrical Engineering
  • Volume: 66
  • Pages: 274-287

A review of machine learning approaches to power system security and stability

  • Authors: OA Alimi, K Ouahada, AM Abu-Mahfouz
  • Year: 2020
  • Citations: 266
  • Journal: IEEE Access
  • Volume: 8
  • Pages: 113512-113531

IoT devices and applications based on LoRa/LoRaWAN

  • Authors: O Khutsoane, B Isong, AM Abu-Mahfouz
  • Year: 2017
  • Citations: 249
  • Conference: IECON 2017 – 43rd Annual Conference of the IEEE Industrial Electronics Society
  • Pages: Not specified

Software defined networking for improved wireless sensor network management: A survey

  • Authors: M Ndiaye, GP Hancke, AM Abu-Mahfouz
  • Year: 2017
  • Citations: 243
  • Journal: Sensors
  • Volume: 17
  • Issue: 5
  • Article Number: 1031

IoT in the wake of COVID-19: A survey on contributions, challenges and evolution

  • Authors: M Ndiaye, SS Oyewobi, AM Abu-Mahfouz, GP Hancke, AM Kurien, …
  • Year: 2020
  • Citations: 193
  • Journal: IEEE Access
  • Volume: 8
  • Pages: 186821-186839

Towards achieving a reliable leakage detection and localization algorithm for application in water piping networks: An overview

  • Authors: KB Adedeji, Y Hamam, BT Abe, AM Abu-Mahfouz
  • Year: 2017
  • Citations: 180
  • Journal: IEEE Access
  • Volume: 5
  • Pages: 20272-20285

Smart water meter system for user-centric consumption measurement

  • Authors: MJ Mudumbe, AM Abu-Mahfouz
  • Year: 2015
  • Citations: 167
  • Conference: 2015 IEEE 13th International Conference on Industrial Informatics (INDIN)