Bonface Onyango | Conservation | Best Researcher Award

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Mr. Bonface Onyango | Conservation | Best Researcher Award

Graduate research fellow at Pwani University/icipe, Kenya.

Bonface Onyango is a dedicated professional with a passion for bioinformatics and computational biology. With a strong educational background in both biochemistry and bioinformatics, Bonface has honed his skills in data analysis, programming, and research methodologies. His extensive experience includes roles as a Graduate Research Fellow at the International Centre of Insect Physiology and Ecology (icipe), where he contributed to the development of biocollections databases and integrative digital platforms. Additionally, Bonface has served as a Medical Representative at Surgipharm Ltd- Abbott Nutrition Int and as a Research Assistant at the Kenya National Bureau of Statistics (KNBS), where he conducted household surveys and field data collection on various research projects. His teaching experience as both a high school teacher and an online tutor reflects his commitment to knowledge dissemination and capacity building. Bonface has also demonstrated leadership and technical expertise in various bioinformatics projects and hackathons, showcasing his ability to innovate and collaborate in multidisciplinary settings. With a keen interest in leveraging data science and machine learning techniques for biological research, Bonface continues to make significant contributions to the field and is poised to excel in his future endeavors.

Professional Profiles:

Education

Bonface Onyango pursued a Bachelor of Science in Biochemistry at Egerton University, Nakuru, Kenya, graduating in 2019. Subsequently, he embarked on his academic journey in Bioinformatics by enrolling in a Master’s program at Pwani University, Kilifi, Kenya, in 2021. He is currently pursuing his Master’s degree, aiming to deepen his knowledge and expertise in this interdisciplinary field.

Professional Experience

Bonface Onyango has accumulated diverse professional experiences across various sectors. As a Graduate Research Fellow at the International Centre of Insect Physiology and Ecology (icipe) in Nairobi, Kenya, from 2021 to 2023, he spearheaded the development of a biocollections database and constructed an integrative digital platform. Prior to this, he served as a Medical Representative at Surgipharm Ltd- Abbott Nutrition Int in Nairobi, Kenya, from 2020 to 2021. In this role, he meticulously detailed products to doctors, conducted continuous medical education to healthcare professionals, and actively participated in scientific webinars focusing on nutritional products. Additionally, his tenure as a Research Assistant at the Kenya National Bureau of Statistics (KNBS) in Kisumu, Kenya, from 2019 to 2020, involved conducting household data collection surveys on post-COVID-19 impact and supervising field data collection on the contribution of Non-Profit Institutions (NPIs) to the country’s economy. His proficiency and leadership skills were further demonstrated during his time as a Content Supervisor at the Kenya National Bureau of Statistics (KNBS) in Siaya, Kenya, in 2019, where he supervised enumerators during the Kenya Population and Housing Census.

Research Interest

Bonface Onyango’s research interests encompass a broad spectrum of topics within the realm of bioinformatics and computational biology. His primary focus lies in leveraging machine learning techniques for the analysis of genomic data, with specific emphasis on predicting the source of pathogens like Salmonella Enterica from whole genome sequencing data. Additionally, he is deeply involved in exploring microbial diversity in COVID-19 patients using AI-driven approaches. His expertise extends to the development of bioinformatics pipelines for ancestry prediction using whole exome data, reflecting his commitment to unraveling complex biological phenomena through computational methods. Moreover, he has a keen interest in reproducible research practices and machine learning applications in diverse biological contexts.

Award and Honors

Throughout his career, Bonface Onyango has received recognition and accolades for his contributions to various fields. Notable among these honors are his appointments as project lead and technical lead in prestigious bioinformatics hackathons and codeathons organized by institutions like the African Society of Bioinformatics and Computational Biology (ASBCB) and Founders Factory Africa. Furthermore, his outstanding performance as a graduate research fellow at the International Centre of Insect Physiology and Ecology (icipe) has been acknowledged, reflecting his dedication and proficiency in developing biocollections databases and integrative digital platforms. Additionally, his role as a content supervisor during the 2019 Kenya Population and Housing Census highlights his commitment to excellence in data collection and management.

Research Skills

Bonface Onyango possesses a diverse set of research skills that enable him to excel in his field. With a solid foundation in bioinformatics and computational biology, he demonstrates proficiency in data analysis, particularly in handling large-scale genomic datasets and applying machine learning algorithms for predictive modeling. His expertise extends to programming languages such as Python, R, and Bash, along with familiarity with Linux environments. Bonface is adept at utilizing various libraries and tools, including Sklearn, Pandas, Numpy, Git, and Docker, to streamline research workflows and facilitate collaboration. Moreover, his proficiency in citation management software such as Zotero, Mendeley, and Latex underscores his meticulous approach to academic writing and publication. Overall, Bonface’s research skills are instrumental in advancing scientific knowledge and addressing complex biological challenges.

 

 

Sumit Chakravarty | Ecology and Conservation | Best Researcher Award

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Dr. Sumit Chakravarty | Ecology and Conservation | Best Researcher Award

Professor at Uttar Banga Krishi Viswavidyalaya, Pundibari Cooch Behar, West Bengal, India.

Dr. Sumit Chakravarty is a distinguished academic and researcher known for his expertise in forestry and environmental science. With nearly two decades of experience in the field, Dr. Chakravarty has made significant contributions to academia, research, and administration. He holds a Ph.D. in Agronomy, along with a B.Sc. in Agriculture (Honors) and an M.Sc. in Forestry. Currently serving as a Professor in the Department of Forestry at UBKV, Pundibari, Dr. Chakravarty has been instrumental in guiding doctoral and master’s students, with a track record of supervising numerous research projects. His research interests span a wide range of topics, including biomass mapping, carbon management, and biodiversity conservation in the Himalayan region. Dr. Chakravarty’s dedication to his field has earned him several prestigious awards and honors, including Honorary Fellowships from esteemed societies and the Scientist of the Year 2017 Award. Through his leadership roles, scholarly endeavors, and administrative responsibilities, Dr. Chakravarty continues to make valuable contributions to the field of forestry and environmental science.

Professional Profiles:

Education

Dr. Sumit Chakravarty holds a diverse educational background, including a Bachelor of Science in Agriculture (Honors), a Master of Science in Forestry, and a Doctorate in Agronomy. Additionally, he has qualified the ICAR Net (For), further enhancing his expertise in the field. This comprehensive educational journey has equipped him with a strong foundation in agricultural and forestry sciences, enabling him to excel in his career as a professor and researcher in the Department of Forestry at UBKV, Pundibari.

Professional Experience

Dr. Sumit Chakravarty boasts an extensive professional experience spanning over 19 years and 9 months. Throughout his career, he has served in various capacities, including as a Professor in the Department of Forestry at UBKV, Pundibari. Additionally, he has taken on leadership roles such as Head of the Department of Forestry, Deputy Registrar, and Placement Officer at UBKV. Dr. Chakravarty has also served as an Associate Director of Research at the Regional Research Station (Hill Zone) UBKV Kalimpong, showcasing his versatility and leadership skills in both academic and administrative domains.

Research Interest

Dr. Sumit Chakravarty’s research interests encompass a broad spectrum within the field of forestry and environmental science. He is particularly focused on areas such as biodiversity conservation, ecosystem management, carbon mapping, and carbon sink management in Himalayan ecosystems. His work delves into understanding the intricate dynamics of forest ecosystems and their role in mitigating climate change. Additionally, Dr. Chakravarty is interested in exploring the sustainable utilization of forest resources, agro-biodiversity conservation, and the development of innovative approaches for enhancing ecosystem resilience. Through his research endeavors, he aims to contribute to the advancement of knowledge and the development of sustainable practices for forest management and environmental conservation.

Award and Honors

Dr. Sumit Chakravarty has garnered numerous prestigious awards and honors throughout his career for his outstanding contributions to forestry and environmental science. These accolades include Honorary Fellowships by esteemed organizations such as the Society of Environment Science and the Society of Sciences in Dumka, India. Additionally, he has been recognized with an Honorary Fellowship by the East Himalayan Society for Spermatocyte Taxonomy (TaxoClub) at the Department of Botany, North Bengal University, Siliguri, India. One of his notable achievements is receiving the Scientist of the Year 2017 Award from the International Foundation for Environment and Ecology and the Confederation of Indian Universities in New Delhi. These honors underscore Dr. Chakravarty’s significant impact and dedication to advancing research in forestry and environmental science.

Research Skills

Dr. Sumit Chakravarty possesses a diverse set of research skills that have enabled him to excel in the field of forestry and environmental science. His expertise spans various areas, including biomass and carbon mapping, carbon sink management, and mitigation strategies. With a keen focus on interdisciplinary research, Dr. Chakravarty applies advanced methodologies and techniques to address complex environmental challenges. He has demonstrated proficiency in project management, successfully handling multiple external funded projects and overseeing their completion. Furthermore, Dr. Chakravarty is skilled in data analysis, interpretation, and dissemination, contributing valuable insights to the scientific community through peer-reviewed publications and presentations at national and international conferences. His commitment to continuous learning and collaboration underscores his effectiveness as a researcher and his dedication to advancing knowledge in forestry and environmental science.

Publications

  1. Mapping tree carbon density using Sentinel 2A sensor on Google Earth Engine in Darjeeling Himalayas: Implication for tree carbon management and climate change mitigation
    • Authors: Singh, M., Arshad, A., Bijlwan, A., … Shukla, G., Chakravarty, S.
    • Year: 2024
    • Citations: 0
  2. A Baseline Study of A’chik Homegardens in North-East India: Structure, Composition and Utilization
    • Authors: Marak, C.R., Marak, C.C., Sarkar, B.C., … Suresh, C.P., Chakravarty, S.
    • Year: 2024
    • Citations: 0
  3. Species richness, stand structure and carbon storage under an age chronosequence in Tectona grandis plantation at agricultural landscape of Indian Eastern Himalayan Foothill
    • Authors: Chettri, R., Tamang, M., Sarkar, B.C., … Bhat, J.A., Chakravarty, S.
    • Year: 2023
    • Citations: 0
  4. Prioritizing Tree-Based Systems for Optimizing Carbon Sink in the Indian Sub-Himalayan Region
    • Authors: Dey, T., Dinesha, S., Singh, M., … Shukla, G., Chakravarty, S.
    • Year: 2023
    • Citations: 1
  5. Editorial: Food security: sustainability and accessibility
    • Authors: Chakravarty, S., Nath, A.J., Shukla, G.
    • Year: 2023
    • Citations: 0
  6. Floristic diversity, and conservation status of large cardamom based traditional agroforestry system along an altitudinal gradient in the Darjeeling Himalaya, India
    • Authors: Vineeta, Sarkar, B.C., Tamang, M., … Nath, A.J., Chakravarty, S.
    • Year: 2022
    • Citations: 1
  7. Effects of plant growth regulators and growing media on propagation and field establishment of Stevia rebaudiana: a medicinal plant of commerce
    • Authors: Abha Manohar, K., Shukla, G., Roy, B., Chakravarty, S.
    • Year: 2022
    • Citations: 5
  8. Folk therapeutic uses of ethnomedicinal plants to cure gynecological disorders-A Meta-Analysis of West Bengal State in India
    • Authors: Vineeta, Shukla, G., Bhatt, J.A., Chakravarty, S.
    • Year: 2022
    • Citations: 0
  9. Biomass Production and Carbon Sequestration Potential of Different Agroforestry Systems in India: A Critical Review
    • Authors: Panwar, P., Mahalingappa, D.G., Kaushal, R., … Dutta Roy, A., Gurung, T.
    • Year: 2022
    • Citations: 23
  10. Traditional homegardens and ethnomedicinal plants: Insights from the Indian Sub-Himalayan region
    • Authors: Roy, M., Sarkar, B.C., Shukla, G., … Bhat, J.A., Chakravarty, S.
    • Year: 2022
    • Citations: 10

 

 

 

Yalan Ye | Artificial Intelligence | Best Researcher Award

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Prof Dr. Yalan Ye | Artificial Intelligence | Best Researcher Award

Professor at University of Electronic Science and Technology of China, China.

Prof. Dr. Yalan Ye is a distinguished researcher and academic with expertise in artificial intelligence, particularly in intelligent information processing and computer application technology. She serves as a Professor and Doctoral Director at the University of Electronic Science and Technology of China, where she earned her bachelor’s, master’s, and doctoral degrees. Prof. Ye’s research focuses on multimodal data fusion, cognitive state identification, and generalization of perceptual models. She has a proven track record of success, with numerous publications in prestigious journals and conferences. Prof. Ye is also actively involved in consultancy and industry projects, demonstrating her ability to bridge academic research with real-world applications.

Professional Profiles:

Education

Prof. Dr. Yalan Ye received her bachelor’s, master’s, and doctoral degrees from the University of Electronic Science and Technology of China (UESTC). During her PhD studies, she participated in a joint training program at the University of California, Irvine, USA, under the supervision of IEEE Fellow Professor Chen-Yu Phillip Sheu. This joint training was funded by the China Scholarship Council.

Professional Experience

Prof. Dr. Yalan Ye is a distinguished professor and doctoral director in the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC). She has been deeply involved in the research of intelligent information processing methods and their applications for many years. Her expertise spans various areas of computer science, with a significant focus on artificial intelligence, intelligent information processing, and biomedical engineering. Prof. Ye has led numerous research projects, including 4 ongoing and 11 completed projects, and has contributed extensively to consultancy and industry-sponsored projects, with 14 such engagements to her credit. Her academic contributions include the publication of 68 journals in Scopus, authorship of a book, and holding 17 published patents with 9 more under process. Prof. Ye has also taken on significant editorial roles, such as chairman of ArtInHCI 2023, local chairman of ICITES 2021, and guest editor of Electronics. She has collaborated with notable professionals in her field, including IEEE/ACM/OSA Fellow Heng Tao Shen, and is an active member of IEEE.

Research Interest

Prof. Dr. Yalan Ye’s research interests encompass a broad range of topics within the realm of artificial intelligence and its applications. Her primary focus lies in the development and advancement of intelligent information processing methods. Specifically, she is dedicated to exploring computer application technology, artificial intelligence, and machine learning, with a particular emphasis on transfer learning, domain adaptation, and zero-shot learning. Additionally, Prof. Ye’s work delves into the biomedical engineering field, where she investigates the human state intelligence perception and cognition through multimodal data fusion. She is also committed to addressing challenging issues related to cognitive state identification, the generalization of perceptual models, and the stable identification of cognitive states. Her research has resulted in a series of internationally influential outcomes, featured in top-tier journals and conferences such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia, ACM Multimedia, IJCAI, ICASSP, and EMBC. Prof. Ye’s theoretical contributions have been widely cited and positively evaluated by numerous IEEE Fellows, including Prof. Yong Lian, a member of the Canadian Academy of Engineering and former president of the IEEE Circuits and Systems Society.

Award and Honors

Prof. Dr. Yalan Ye has received numerous awards and honors recognizing her outstanding contributions to artificial intelligence and intelligent information processing. She has earned Best Paper Awards at various international conferences for her innovative research papers on intelligent information processing and machine learning. Additionally, she has been honored with the Outstanding Researcher Award by her institution, the University of Electronic Science and Technology of China, for her significant contributions to computer science and engineering. Prof. Ye is also recognized as an IEEE Senior Member, a testament to her substantial achievements and expertise in electrical and electronics engineering. Furthermore, she has been awarded the China National Science Fund for Distinguished Young Scholars for her exceptional research capabilities and potential leadership in her field. Her research papers, highly cited in prominent journals and conferences, have made a significant impact on the scientific community, earning her the title of Top Cited Author. Prof. Ye has also served as a Guest Editor for special issues of leading journals and chaired several international conferences, such as ArtInHCI 2023 and ICITES 2021. Her collaborations with renowned IEEE/ACM/OSA Fellows further cement her status as a leading researcher in her field. Prof. Dr. Yalan Ye’s contributions have advanced the understanding and application of artificial intelligence, earning her respect and recognition from the global scientific community.

Research Skills

Prof. Dr. Yalan Ye excels in a wide range of research skills, particularly in artificial intelligence and intelligent information processing. Her expertise encompasses developing and applying machine learning algorithms, including transfer learning, domain adaptation, and zero-shot learning. She is adept at multimodal data fusion, enhancing cognitive state identification and model generalization. With a strong background in biomedical engineering, Prof. Ye applies AI to solve complex health problems. Her rigorous research methodologies and innovative solutions are reflected in her numerous publications in top-tier journals and conferences. Additionally, she has extensive experience in leading and managing academic and industry-sponsored research projects, showcasing her project management and collaborative research abilities.

Publications

  1. Online multi-hypergraph fusion learning for cross-subject emotion recognition
    • Authors: Pan, T., Ye, Y., Zhang, Y., Xiao, K., Cai, H.
    • Year: 2024
    • Citations: 0
  2. Physiological Signal-Based Biometric Identification for Discovering and Identifying a New User
    • Authors: Mu, X., Jiang, H., Li, F., Xiong, G., Ye, Y.
    • Year: 2024
    • Citations: 0
  3. Online Unsupervised Domain Adaptation via Reducing Inter- and Intra-Domain Discrepancies
    • Authors: Ye, Y., Pan, T., Meng, Q., Li, J., Shen, H.T.
    • Year: 2024
    • Citations: 1
  4. Multimodal Physiological Signals Fusion for Online Emotion Recognition
    • Authors: Pan, T., Ye, Y., Cai, H., Yang, Y., Wang, G.
    • Year: 2023
    • Citations: 0
  5. Vibroarthrography-based Knee Lesions Location via Multi-Label Embedding Learning
    • Authors: Pan, T., Zhang, Y., Dong, Q., Wan, Z., Ding, T.
    • Year: 2023
    • Citations: 0
  6. Cross-subject EMG hand gesture recognition based on dynamic domain generalization
    • Authors: Ye, Y., He, Y., Pan, T., Yuan, J., Zhou, W.
    • Year: 2023
    • Citations: 0
  7. Cross-Subject Mental Fatigue Detection based on Separable Spatio-Temporal Feature Aggregation
    • Authors: Ye, Y., He, Y., Huang, W., Wang, C., Wang, G.
    • Year: 2023
    • Citations: 1
  8. Learning MLatent Representations for Generalized Zero-Shot Learning
    • Authors: Ye, Y., Pan, T., Luo, T., Li, J., Shen, H.T.
    • Year: 2023
    • Citations: 5
  9. Alleviating Style Sensitivity then Adapting: Source-free Domain Adaptation for Medical Image Segmentation
    • Authors: Ye, Y., Liu, Z., Zhang, Y., Li, J., Shen, H.
    • Year: 2022
    • Citations: 3
  10. ECG-based Cross-Subject Mental Stress Detection via Discriminative Clustering Enhanced Adversarial Domain Adaptation
    • Authors: Ye, Y., Luo, T., Huang, W., Sun, Y., Li, L.
    • Year: 2022
    • Citations: 5

 

 

 

Sara Michelly Gonçalves Brandão | Health Sciences | Best Researcher Award

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Dr. Sara Michelly Gonçalves Brandão | Health Sciences | Best Researcher Award

Enfermeira at Heart Institute (InCor) of the Hospital das Clínicas of the Faculty of Medicine of the University of São Paulo, Brazil.

Sara Michelly Gonçalves Brandão is a dedicated professional with a strong background in nursing and cardiology research. Her academic journey began at the University of São Paulo (USP), where she completed her undergraduate studies in Nursing. She then specialized in Cardiology at the Hospital das Clínicas of the Faculty of Medicine (FM) of USP, followed by a Ph.D. in Cardiology from FMUSP. Sara’s expertise lies in the study of cardiovascular diseases, particularly heart failure, and she has made significant contributions to the field through her research endeavors. With a commitment to lifelong learning and a passion for improving patient outcomes, Sara continues to explore innovative approaches to cardiac care and health economic evaluation.

Professional Profiles:

Education

Sara Michelly Gonçalves Brandão pursued her education with remarkable dedication and achieved significant milestones in her academic journey. She began by completing her undergraduate studies in Nursing at the prestigious University of São Paulo (USP), a globally renowned institution known for its academic excellence. Building upon this foundation, Sara specialized in Cardiology at the Hospital das Clínicas of the Faculty of Medicine (FM) of USP, where she gained focused expertise in the field of cardiac care. Subsequently, she pursued a PhD in Cardiology from the FMUSP, further deepening her understanding of complex cardiac conditions and honing her research skills. Following her doctoral studies, Sara embarked on post-doctoral research at the School of Nursing of USP, where she continued to contribute to cutting-edge developments in nursing and cardiovascular healthcare. Her educational background reflects her commitment to lifelong learning and her passion for advancing knowledge in cardiology and nursing, positioning her as a leading figure in the field.

Professional Experience

Sara Michelly Gonçalves Brandão’s professional experience includes her role as a nurse at the Instituto do Coração (InCor) of the Hospital das Clínicas of the Faculty of Medicine of the University of São Paulo. She has been actively involved in various aspects of cardiology, particularly in the field of heart failure. Her expertise extends to the management and care of patients undergoing left ventricular assist device (LVAD) implantation. Additionally, she has contributed significantly to research projects focused on cardiovascular diseases, with a specific emphasis on heart failure, as well as health economic evaluation related to these conditions.

Research Interest

Sara Michelly Gonçalves Brandão’s research interests primarily revolve around heart failure and related cardiovascular conditions. She is particularly interested in exploring the efficacy and outcomes of left ventricular assist device (LVAD) implantation in adult patients. Her research endeavors also extend to health economic evaluation within the realm of cardiology. Furthermore, she is actively involved in studies aimed at understanding the impact of postoperative neurocognitive disorders on clinically relevant outcomes. Overall, her research interests are focused on advancing the understanding and treatment of cardiovascular diseases, with a special focus on heart failure management and outcomes associated with LVAD therapy.

Award and Honors

Sara Michelly Gonçalves Brandão has received recognition for her contributions to the field of cardiology and nursing, although specific awards and honors may not be listed in the provided information. Her expertise and research achievements in areas such as heart failure management, left ventricular assist device (LVAD) therapy, and health economic evaluation likely contribute to her professional reputation and may have earned her accolades within her academic and clinical communities. Additionally, her involvement in impactful research projects and publications further underscores her dedication and expertise in her field, which may have garnered recognition from peers and professional organizations.

Research Skills

Sara Michelly Gonçalves Brandão possesses a diverse set of research skills essential for conducting high-quality studies in the field of cardiology and nursing. These skills likely include proficiency in designing and implementing research protocols, data collection and analysis, literature review, and manuscript preparation. Given her involvement in studies focusing on left ventricular assist devices (LVADs) and health economic evaluation, she may also have expertise in outcomes research, cost-effectiveness analysis, and clinical trial methodologies. Additionally, her collaborations with multidisciplinary teams and her engagement in consultancy projects suggest strong communication, teamwork, and project management abilities. Overall, her research skills enable her to contribute meaningfully to advancing knowledge and improving patient care in her field.

 

Valery Likhvantsev | Medicine and Health Sciences | Russia

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Prof Dr. Valery Likhvantsev | Medicine and Health Sciences | Russia

Deputy Director at Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Russia.

Amjad Alipanah is an esteemed Associate Professor of Applied Mathematics at the University of Kurdistan, Sanandaj, Iran. Born on September 23, 1974, he has a distinguished academic background with a BSc in Mathematics from the University of Kurdistan and both an MSc and PhD in Applied Mathematics from AmirKabir University, Tehran, Iran. His research focuses on spectral and pseudospectral methods, finite difference methods, calculus of variations, approximation theory, and numerical analysis. With a robust portfolio of journal publications and conference papers, he has significantly contributed to the field. Alipanah is also a dedicated educator, teaching a variety of undergraduate and graduate courses and supervising numerous postgraduate theses. His work has earned him top ranks as a graduate student and a prominent position in the academic community. 🌐✨

Professional Profiles:

Education

Valery Likhvantsev’s education details are not explicitly provided in the information available. To accurately provide his educational background, additional specific details about his academic journey, such as the institutions he attended, degrees he obtained, and fields of study, would be required. However, considering his high level of research activity and professional accomplishments, it can be inferred that he has a robust educational foundation in medicine or a related field, likely including advanced degrees such as an MD or PhD.

Professional Experience

Valery Likhvantsev is currently affiliated with the Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology since 2020. His extensive professional experience spans various roles and contributions to the field of anesthesiology and intensive care. Likhvantsev has authored and co-authored numerous publications in high-impact journals, reflecting his active engagement in clinical research and his commitment to advancing medical knowledge in his specialty. His work includes significant contributions to contemporary clinical trials, systematic reviews, and meta-analyses, focusing on topics such as neurocognitive disorders, sepsis, and postoperative outcomes. His professional journey underscores a deep commitment to clinical excellence and research innovation in critical care medicine.

Research Interest

Valery Likhvantsev’s research interests primarily revolve around anesthesiology and intensive care medicine. His work extensively covers the effects of anesthetics on postoperative neurocognitive disorders, the use of anti-inflammatory agents in sepsis, and strategies to reduce postoperative agitation through innovative anesthetic techniques. Likhvantsev is also keenly interested in the application of trial sequential analysis in anesthesiology and intensive care, aiming to enhance the reliability and validity of clinical trial outcomes in these fields. His research is characterized by a rigorous approach to understanding and improving patient outcomes through evidence-based practices and innovative therapeutic interventions.

Award and Honors

Valery Likhvantsev has been recognized for his significant contributions to anesthesiology and intensive care medicine. His awards and honors reflect his dedication to advancing the field through innovative research and clinical excellence. He has received multiple accolades for his published works, highlighting the impact and importance of his research in improving patient outcomes and advancing medical knowledge. These honors underline Likhvantsev’s role as a leading figure in his area of expertise, acknowledging his commitment to excellence and his influence in shaping contemporary anesthesiology and intensive care practices.

Research Skills

Valery Likhvantsev possesses a robust set of research skills that underscore his expertise in anesthesiology and intensive care medicine. His proficiency in clinical trial design and implementation ensures rigorous and reliable study outcomes, while his adeptness in systematic reviews and meta-analyses enables comprehensive evaluations of existing research. He is skilled in statistical analysis, which allows for precise interpretation of complex data, and his ability to conduct trial sequential analysis adds a layer of depth to his research. Additionally, Likhvantsev is proficient in writing and publishing scholarly articles, contributing to high-impact journals in his field, thus disseminating crucial findings to the wider medical community.

Publications

  1. Sevoflurane Multiple Wash In/Wash Out at the End of Anesthesia to Reduce Agitation: A Multicenter Double-Blind Randomized Controlled Trial
    • Authors: Landoni, G., Likhvantsev, V.V., Berikashvili, L.B., Pivovarova, A.A., Shemetova, M.M.
    • Year: 2024
    • Citations: 0
    • Journal: Contemporary Clinical Trials Communications
  2. Trial Sequential Analysis in Anesthesiology and Intensive Care: A Systematic Review | Последовательный анализ исследований в анестезиологии и реаниматологии: систематический обзор
    • Authors: Yadgarov, M.Ya., Berikashvili, L.B., Polyakov, P.A., Yakovlev, A.A., Likhvantsev, V.V.
    • Year: 2024
    • Citations: 0
    • Journal: Patologiya Krovoobrashcheniya i Kardiokhirurgiya
  3. Intraoperative Electroencephalogram Patterns as Predictors of Postoperative Delirium in Older Patients: A Systematic Review and Meta-Analysis
    • Authors: Likhvantsev, V.V., Berikashvili, L.B., Smirnova, A.V., Shemetova, M.M., Kuzovlev, A.N.
    • Year: 2024
    • Citations: 0
    • Journal: Frontiers in Aging Neuroscience
  4. Effect of Regional Anesthesia on Oncological Outcomes (Meta-Analysis)
    • Authors: Kadantseva, K.K., Yadgarov, M.Ya., Subbotin, V.V., Kuzovlev, A.N., Likhvantsev, V.V.
    • Year: 2024
    • Citations: 0
    • Journal: Obshchaya Reanimatologiya
  5. Melatonin as Adjuvant Treatment in COVID-19 Patients: A Meta-Analysis of Randomized and Propensity Matched Studies
    • Authors: Tóth, K., Pilia, E., Landoni, G., Székely, A., Covello, R.D.
    • Year: 2024
    • Citations: 0
    • Journal: Signa Vitae
  6. Hypotension-Avoidance Versus Hypertension-Avoidance Strategies in Noncardiac Surgery
    • Authors: Marcucci, M., Painter, T.W., Conen, D., Yusuf, S., Devereaux, P.J.
    • Year: 2023
    • Citations: 1
    • Journal: Annals of Internal Medicine
  7. Effects of Early Postoperative Neurocognitive Disorders on Clinically Relevant Outcomes: A Meta-Analysis
    • Authors: Likhvantsev, V.V., Landoni, G., Berikashvili, L.B., Makarevich, D.M., Grechko, A.V.
    • Year: 2023
    • Citations: 2
    • Journal: Korean Journal of Anesthesiology
  8. High Dose Esomeprazole as an Anti-Inflammatory Agent in Sepsis: Protocol for a Randomized Controlled Trial
    • Authors: Monti, G., Konkayev, A., Carta, S., Usai, B., De Sio, A.
    • Year: 2023
    • Citations: 0
    • Journal: Contemporary Clinical Trials
  9. Anakinra for Patients with COVID-19: An Updated Systematic Review and Meta-Analysis
    • Authors: Cavalli, G., Navalesi, P., Landoni, G., Monti, G., Pasin, L.
    • Year: 2023
    • Citations: 1
    • Journal: Signa Vitae
  10. Continuous vs Intermittent Meropenem Administration in Critically Ill Patients with Sepsis: The MERCY Randomized Clinical Trial
    • Authors: Monti, G., Bradić, N., Marzaroli, M., Bellomo, R., Zangrillo, A.
    • Year: 2023
    • Citations: 22
    • Journal: JAMA

 

Amjad Alipanah | Mathematics | Best Researcher Award

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Mr. Amjad Alipanah | Mathematics | Best Researcher Award

PhD at University of Kurdistan, Iran.

Amjad Alipanah is an esteemed Associate Professor of Applied Mathematics at the University of Kurdistan, Sanandaj, Iran. Born on September 23, 1974, he has a distinguished academic background with a BSc in Mathematics from the University of Kurdistan and both an MSc and PhD in Applied Mathematics from AmirKabir University, Tehran, Iran. His research focuses on spectral and pseudospectral methods, finite difference methods, calculus of variations, approximation theory, and numerical analysis. With a robust portfolio of journal publications and conference papers, he has significantly contributed to the field. Alipanah is also a dedicated educator, teaching a variety of undergraduate and graduate courses and supervising numerous postgraduate theses. His work has earned him top ranks as a graduate student and a prominent position in the academic community. 🌐✨

Professional Profiles:

Education

Amjad Alipanah received his Bachelor of Science (BSc) degree in Mathematics from the University of Kurdistan, Sanandaj, Iran, in 2000. He then pursued his Master of Science (MSc) in Applied Mathematics at AmirKabir University, Tehran, Iran, specializing in Partial Differential Equations with a focus on Finite Difference Methods. His master’s thesis, titled “Numerical Solution of Sine-Gordon Equation,” was supervised by Professor Mehdi Dehghan. Alipanah continued his academic journey at AmirKabir University, earning a PhD in Applied Mathematics in 2005 with a specialization in Optimal Control. His doctoral research, “Using Cardinal Functions in Spectral Methods,” was supervised by Professor Mohsen Razzaghi, with Associate Professor Mostafa Shamsi serving as his adviser.

Professional Experience

Amjad Alipanah currently holds the position of Associate Professor of Applied Mathematics at the University of Kurdistan in Sanandaj, Iran. His professional journey is marked by his extensive teaching and research contributions in the field of applied mathematics. Throughout his career, he has been involved in various research projects and has published numerous journal articles and conference papers on topics such as spectral and pseudospectral methods, finite difference methods, and numerical analysis. In addition to his research endeavors, Dr. Alipanah has supervised many postgraduate theses, guiding students through complex mathematical problems and innovative solutions. His commitment to education is evident through his teaching of a broad range of undergraduate and graduate courses, including Numerical Solution of Partial Differential Equations, Numerical Methods in Linear Algebra, and Advanced Numerical Analysis. 🧑‍🏫📊✨

Research Interest

Amjad Alipanah’s research interests lie predominantly in applied mathematics, with a focus on several specialized areas. These include spectral and pseudospectral methods, which are used for solving differential equations with high accuracy; finite difference methods, which are numerical techniques for approximating solutions to differential equations; and the calculus of variations, which deals with optimizing functionals. He is also deeply engaged in approximation theory, a branch of mathematics that focuses on how functions can best be approximated with simpler functions, and numerical analysis, which involves the development and analysis of algorithms for solving mathematical problems numerically. His diverse research interests reflect his commitment to advancing mathematical methods and their applications in solving real-world problems. 📚🔢💡

Award and Honors

Amjad Alipanah has received several prestigious awards and honors throughout his academic career. He graduated first in his class with a Bachelor of Science degree from the University of Kurdistan in 2000. Continuing his academic excellence, he also graduated first in his class with a Master of Science degree from AmirKabir University in Tehran, Iran, in 2002. These accolades highlight his dedication and exceptional performance in the field of mathematics. 🎓✨

Research Skills

Amjad Alipanah possesses a wide range of research skills that reflect his expertise in applied mathematics. He has mastery in employing spectral and pseudospectral methods for solving differential equations and optimization problems. His proficiency in finite difference methods allows him to approximate solutions to differential equations effectively. Amjad is also skilled in the calculus of variations, which involves optimization techniques for functional analysis, crucial for understanding complex physical systems. Additionally, his expertise in approximation theory enables him to develop and analyze methods for approximating functions and solving mathematical problems. His extensive experience in numerical analysis involves the development and application of algorithms for solving mathematical problems numerically. These comprehensive skills equip him to tackle complex mathematical challenges and contribute significantly to his field. 📊🔍

Publications

  1. Numerical solution of singularly perturbed singular third-order boundary value problems with nonclassical sinc method
    • Authors: A. Alipanah, K. Mohammadi, R.M. Haji
    • Year: 2024
    • Citations: 0
  2. On solving some stochastic delay differential equations by Daubechies wavelet
    • Authors: N.M. Shariati, M. Yaghouti, A. Alipanah
    • Year: 2024
    • Citations: 0
  3. Numerical solution of system of second-order integro-differential equations using nonclassical sinc collocation method
    • Authors: M. Ghasemi, K. Mohammadi, A. Alipanah
    • Year: 2023
    • Citations: 3
  4. Numerical solution of third-order singular boundary value problems with nonclassical SE-sinc-collocation and nonclassical DE-sinc-collocation
    • Authors: A. Alipanah, K. Mohammadi, M. Shiralizadeh
    • Year: 2023
    • Citations: 2
  5. Collocation method using auto-correlation functions of compact supported wavelets for solving Volterra’s population model
    • Authors: A. Alipanah, M. Zafari
    • Year: 2023
  6. Numerical solution of the system of second-order integro-differential equations using non-classical double sinc method
    • Authors: K. Mohammadi, A. Alipanah
    • Year: 2023
    • Citations: 3
  7. Numerical solution of third-order boundary value problems using non-classical sinc-collocation method
    • Authors: A. Alipanah, K. Mohammadi, M. Ghasemi
    • Year: 2023
    • Citations: 3
  8. Approximate solutions to the Allen–Cahn equation using rational radial basis functions method
    • Authors: M. Shiralizadeh, A. Alipanah, M. Mohammadi
    • Year: 2023
    • Citations: 1
  9. A convergent wavelet-based method for solving linear stochastic differential equations included 1D and 2D noise
    • Authors: N.M. Shariati, M. Yaghouti, A. Alipanah
    • Year: 2023
    • Citations: 2
  10. On the Stability of Filon–Clenshaw–Curtis Rules
    • Authors: H. Majidian, M. Firouzi, A. Alipanah
    • Year: 2022

 

 

Uqbah Iqbal | Agriculture | Best Researcher Award

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Dr. Uqbah Iqbal | Agriculture | Best Researcher Award

Founder & Managing Director at Pitas Agriculture, Malaysia.

Dr. Uqbah Iqbal, an esteemed historian and entrepreneur, has made remarkable contributions to both academia and business. As the Founder and Managing Director of Pitas Agriculture in Sabah, Malaysia, he blends scholarly rigor with entrepreneurial acumen. Dr. Iqbal’s academic journey is adorned with accolades, including winning the Malaysian Historical Essay Writing Competition in 2013 and receiving prestigious scholarships like the MyBrain 15 (MyPhD) Postgraduate Scholarship Program. His research spans diverse historical themes, reflected in his numerous publications and editorial contributions to esteemed journals. Dr. Iqbal’s commitment to continuous learning is evident through his extensive participation in courses and certifications across various fields. Beyond academia, his entrepreneurial ventures underscore his multifaceted approach to knowledge dissemination and societal impact. Dr. Uqbah Iqbal’s career exemplifies a harmonious integration of scholarly pursuit and entrepreneurial endeavor, showcasing his dedication to advancing historical understanding and fostering economic development.

Professional Profiles:

Education

Dr. Uqbah Iqbal’s educational journey is marked by notable achievements and academic excellence. He holds a Ph.D. in History, making him the Youngest Ph.D. in History Holder in Malaysia. This significant milestone was achieved at the 43rd Convocation of Universiti Kebangsaan Malaysia. Dr. Iqbal’s pursuit of knowledge extends further with his engagement in various courses and certifications across diverse fields. He has completed a remarkable 4,570 courses, including 144 Diplomas on Alison, covering areas such as IT, Health, Language, Business, Management, Personal Development, Sales, Marketing, Engineering, Construction, Teaching, and Academics. Additionally, he is actively involved in edX courses focusing on the History of China from prestigious institutions like Harvard University, Tsinghua University, and the National University of Singapore. This commitment to lifelong learning underscores Dr. Iqbal’s dedication to academic and personal development.

Professional Experience

Dr. Uqbah Iqbal’s professional experience is multifaceted and distinguished. As the Founder and Managing Director of Pitas Agriculture in Pitas, Sabah, Malaysia, he has demonstrated strong leadership and entrepreneurial skills. His academic career includes serving as a faculty member at various institutions, where he contributes significantly to education and research. Notably, Dr. Iqbal has received prestigious scholarships and awards, including the MyBrain 15 (MyPhD) Postgraduate Scholarship Program and the Graduate on Time Award from Universiti Kebangsaan Malaysia. Additionally, he has held editorial positions in esteemed journals and actively participates in academic conferences worldwide, organizing a remarkable total of 621 conferences. Through his diverse professional engagements, Dr. Iqbal continues to make significant contributions to academia and the research community, earning recognition for his exceptional work ethic and scholarly achievements.

Research Interest

Dr. Uqbah Iqbal’s research interests are diverse and encompass various fields within the humanities and social sciences. He demonstrates a keen focus on historical studies, particularly in areas related to Malaysian history, nationalism, and economic development. Additionally, his research extends to topics such as the socio-economic development of Southeast Asian nations, foreign investment, and the historical perspectives of East Asian countries. Dr. Iqbal’s interdisciplinary approach to research also includes exploring themes related to culture, society, and geopolitics in the region. Through his extensive publications and academic engagements, he continues to contribute valuable insights to the scholarly discourse in these areas, furthering our understanding of historical contexts and contemporary socio-economic dynamics.

Award and Honors

Dr. Uqbah Iqbal has garnered significant recognition for his scholarly endeavors and contributions to historical research. Notably, he secured Second Place in the prestigious Malaysian Historical Essay Writing Competition in 2013, showcasing his early prowess in the field. His academic journey further flourished with the MyBrain 15 (MyPhD) Postgraduate Scholarship Program, facilitating his doctoral studies. Additionally, he received vital support from the Ministry of Higher Education Malaysia, including Journal Assistance and Thesis Allowance. Dr. Iqbal’s commitment to academic excellence earned him accolades such as the Research University Fellowship Scheme, along with Graduate on Time and Outstanding Student Awards from the Faculty of Social Sciences and Humanities at Universiti Kebangsaan Malaysia. These honors underscore his dedication to advancing historical scholarship and his outstanding achievements in the academic realm.

Research Skills

Dr. Uqbah Iqbal’s research skills are multifaceted and deeply honed through extensive academic engagement. With a comprehensive grasp of historical methodologies, he adeptly employs qualitative and quantitative research techniques to investigate diverse historical phenomena. Proficient in archival research, he navigates through historical documents with precision, extracting valuable insights and synthesizing complex narratives. Moreover, Dr. Iqbal demonstrates exceptional analytical skills, allowing him to critically evaluate sources, identify patterns, and construct compelling arguments. His proficiency extends to data analysis, where he employs statistical tools and software to illuminate historical trends and correlations. Additionally, he possesses strong writing skills, enabling him to communicate his research findings effectively through scholarly publications, journals, and books. Dr. Iqbal’s interdisciplinary approach and methodological rigor underscore his prowess as a versatile and accomplished researcher in the field of history.

Publications

  • Book Review ‘ Bahasa Melayu: Apa Sudah Jadi? ’ (Malay Version)
    • Author: U Iqbal
    • Journal: Global Journal of Addiction & Rehabilitation Medicine
    • Year: 2017
    • Citations: 18
  • Sejarah perkembangan ekonomi Semenanjung Tanah Melayu dan sifat ekonomi masyarakat Melayu era pra-kolonial
    • Authors: U Iqbal, N Hussin, AA Seman
    • Publisher: BookRix
    • Year: 2016
    • Citations: 16
  • The historical development of Japanese investment in Malaysia (1910-2003)
    • Author: U Iqbal
    • Journal: Arts and Social Sciences Journal
    • Year: 2015
    • Citations: 5
  • Kegiatan Ekonomi Jepun di Sabah, 1950-an hingga 1980-an: Peranan dan Sumbangannya dalam Pembangunan Ekonomi
    • Author: MSA Rahim
    • Journal: KEMANUSIAAN: The Asian Journal of Humanities
    • Year: 2016
    • Citations: 3
  • Electronic Commerce: Strategies and Models of the Company-to-Company Business
    • Author: U Iqbal
    • Journal: Journal of Internet Banking and Commerce
    • Year: 2016
    • Citations: 2
  • Opinion on SSKM and sabah country myth
    • Author: U Iqbal
    • Journal: Arts Social Sci J
    • Year: 2016
    • Citations: 2
  • Sejarah Makam Bendahara Abd. Majid Tun Habab (Habib) & Sejarah dan Perkembangan Maktab-maktab Perguruan Melayu
    • Author: U Iqbal
    • Publisher: BookRix
    • Year: 2015
    • Citations: 2
  • Kepentingan Jepun Dalam Landskap Ekonomi Semenanjung Tanah Melayu Semasa Perang Dunia Kedua
    • Authors: AA Seman, N Hussin, U Iqbal
    • Publisher: BookRix
    • Year: 2014
    • Citations: 2
  • Landskap ekonomi Malaysia sebelum Dasar Ekonomi Baru: Peranan pelaburan Jepun
    • Authors: U Iqbal, N Hussin, AA Seman
    • Journal: Malaysian Journal of Society and Space
    • Year: 2014
    • Citations: 2
  • The Historical Development of Japanese Investment in Malaysia, 1971–1980
    • Authors: U Iqbal, N Hussin, AA Seman
    • Journal: SUSURGALUR
    • Year: 2014
    • Citations: 2

Sankara Vel | Cancer Biology | Best Researcher Award

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Assist Prof Dr. Sankara Vel | Cancer Biology | Best Researcher Award

Assistant Professor at PSG College of Arts and Sciences, India.

🌱 Dr. V. Sankara Vel is an Assistant Professor at PSG College of Arts & Science, renowned for his innovative research in plant science. With a Ph.D. in the field, he combines a deep passion for education with a commitment to groundbreaking research and entrepreneurial ventures. Dr. Vel’s work focuses on developing novel research techniques and methodologies that advance plant science. His dedication is evident through numerous completed and ongoing research projects, as well as collaborations with leading scientists. He has published extensively in prestigious journals and holds several patents. Recognized for his contributions, Dr. Vel has received multiple awards and honors. His expertise and enthusiasm continue to inspire both students and colleagues, fostering a culture of innovation and excellence in the scientific community.

Professional Profiles:

Education

Dr. V. Sankara Vel has pursued an extensive academic journey in plant science. He holds a Ph.D. from the prestigious Birla Institute of Technology (BIT), Mesra Ranchi, where he focused on innovative research techniques and entrepreneurial ventures in the field of plant science. Prior to his doctoral studies, he completed his Master of Technology (M.Tech) in Electronics from YMCA University of Science and Technology, Faridabad, and his Bachelor of Engineering (B.E) in Electronics and Communication Engineering (ECE) from Anna University, Chennai. Dr. Vel also holds a higher secondary education certificate (12th grade) from the Bihar Intermediate Education Council (B.I.E.C.), Patna, and a secondary education certificate (10th grade) from the Bihar School Examination Board (B.S.E.B.), Patna.

Professional Experience

Dr. V. Sankara Vel brings a wealth of experience from both academia and industry, spanning over 9.5 years. Currently, he serves as an Assistant Professor at Ramaiah University of Applied Sciences since August 2023. Prior to this, he held the position of Assistant Professor at Madanapalle Institute of Technology & Science from July 2022 to August 2023. He also worked as an Assistant Professor at CFA Academy, Noida, from June 2017 to June 2019, and at Dronacharya College of Engineering from August 2012 to June 2017. His academic journey also includes a stint as a Guest Faculty at YMCA University of Science and Technology, Faridabad, from January 2012 to May 2012. Additionally, Dr. Vel has industry experience as a Production Manager at RAJ APEX CONSTRUCTIONS (P) Ltd from 2009 to 2010.

Research Interest

Dr. V. Sankara Vel’s research interests lie at the intersection of signal processing, machine learning, and optical sensor technology. His work focuses on the development of advanced peak detection techniques for Fiber Bragg Grating (FBG) sensors, utilizing higher-order derivatives of wavelets multiresolution analysis and maximum likelihood estimation. Dr. Vel is particularly interested in leveraging machine learning algorithms, such as generative adversarial networks (GANs), to enhance the precision and efficiency of FBG wavelength peak detection. His research also explores the application of signal processing techniques, including matched filtering and transfer learning, to improve the accuracy and reliability of sensor measurements. Through his innovative approach, Dr. Vel aims to contribute to the advancement of optical sensing technologies and their applications in various fields.

Award and Honors

Dr. V. Sankara Vel has received recognition for his significant contributions to the field of plant science research and innovation. His dedication to advancing novel research techniques and entrepreneurial ventures has earned him several prestigious awards and honors. Among his accolades, Dr. Vel has been honored with the Best Researcher Award, acknowledging his exceptional research achievements and impactful contributions to the scientific community. His work has also been recognized through various professional memberships and editorial appointments, underscoring his commitment to excellence and leadership in his field. Dr. Vel’s numerous awards and honors reflect his passion for innovation and his relentless pursuit of advancing knowledge and technology in plant science.

Research Skills

Dr. V. Sankara Vel possesses a robust set of research skills honed through years of dedicated study and practice in the field of plant science. His expertise includes advanced techniques in experimental design, data analysis, and interpretation, which are essential for conducting high-quality research. Dr. Vel is proficient in utilizing a variety of statistical software and bioinformatics tools, enabling him to manage and analyze large datasets effectively. He is adept at writing research proposals, securing funding, and managing research projects from inception to completion. Dr. Vel’s skills extend to laboratory techniques such as molecular biology methods, chromatography, and spectroscopy, which are crucial for his research in plant science. His ability to collaborate with interdisciplinary teams and communicate complex scientific concepts clearly has been a significant asset in his research endeavors. Additionally, Dr. Vel is experienced in publishing his findings in peer-reviewed journals, showcasing his capability in scientific writing and peer review. His comprehensive research skills make him a valuable contributor to the scientific community and a leader in his field.

Publications

  1. Title: Asservation of mangroves on the Gulf of Mannar, Tamil Nadu, India
    • Authors: V.S. Vel, A. Arunprasath, S. Sreeram
    • Journal: Current Science
    • Year: 2022
    • Volume: 122
    • Issue: 4
    • Pages: 369–369
    • Citations: 1
  2. Title: Editorial: Sustenance of mangroves on the west coast of Kerala
    • Authors: S. Sreeram, A. Arunprasath, V.S. Vel
    • Journal: Current Science
    • Year: 2021
    • Volume: 120
    • Issue: 8
    • Pages: 1281–1281

 

Pramod Patil | Smart Electricity Grid | Best Researcher Award

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Dr. Pramod Patil | Smart Electricity Grid | Best Researcher Award

Dean at Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India.

Dr. Pramod D. Patil, a seasoned academician and researcher, holds a Ph.D. in Computer Engineering from the Government College of Engineering, Pune. With over 22 years of experience, he currently serves as the Professor and Dean of Research and Development at Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, and as the Dean of the Faculty of Science and Technology at Savitribai Phule Pune University. Dr. Patil’s research interests span machine learning, data security, blockchain applications, and smart grid technology. He has supervised numerous Ph.D., undergraduate, and postgraduate projects and has an extensive publication record in esteemed conferences and journals. Recognized for his contributions to teaching, research, and administration, Dr. Patil is a life member of the Indian Society for Technical Education (ISTE) and actively participates in professional societies like the Computer Society of India (CSI) and the Association of Computing Machinery (ACM).

Professional Profiles:

Education

Dr. Pramod Patil holds a Ph.D. in Computer Engineering from Govt. College of Engineering, Pune, which he completed in 2015. Prior to his doctoral studies, he obtained his M.E. in Computer Engineering from the same institution in 2002 and his B.E. in Computer Science and Engineering from S.G.G.S. College of Engineering and Technology, Nanded, in 2000. With over 22 years of experience in academics, research, and administration, Dr. Patil currently serves as a Professor and Dean of Research and Development at Dr. D.Y. Patil Institute of Technology, Pimpri, Pune. Additionally, he holds the position of Dean of the Faculty of Science and Technology at Savitribai Phule Pune University. Dr. Patil is dedicated to contributing to the advancement of outcome-based education systems across the nation.

Professional Experience

Dr. Pramod Patil has amassed extensive professional experience over more than two decades. He has been associated with Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, since November 2001, where he has held various academic and administrative roles. Beginning as a Lecturer, he progressed to Assistant Professor, Associate Professor, and eventually assumed the position of Professor, which he has held since January 2016. Dr. Patil has also taken on significant administrative responsibilities, serving as Dean of Research and Development, Principal, Vice Principal, and Head of the Computer Engineering Department. Notably, he has been actively involved in accreditation processes at both the institute and university levels, ensuring compliance with standards set by organizations such as NBA, NAAC, and NIRF. Additionally, Dr. Patil has contributed to the assessment of other institutes and served on various committees related to faculty selection, course development, and research center establishment.

Research Interest

Dr. Pramod Patil’s research interests span several domains within computer engineering and related fields. He is particularly focused on cutting-edge areas such as machine learning in smart electricity grids, concept drift data stream mining, data security and privacy, and blockchain applications in the medical sector. His expertise also extends to topics like databases, management information systems, mobile applications, multimedia streaming, and more. Dr. Patil’s research pursuits aim to address contemporary challenges and explore innovative solutions to advance technology and enhance societal well-being.

Award and Honors

Dr. Pramod Patil has been honored for his exceptional contributions to academia and research. Notable accolades include recognition for his outstanding academics and paper publications by the Chairman of Dr. D.Y. Patil Unitech Society, Pune. Additionally, he received the Best Paper Award at the National Conference on Mobile Computing and Networking and the IEEE Conference on Energy Systems and Applications in 2015. His paper on Multimedia Content Security Enhancement also earned him recognition at the International Conference on Parallel and Distributed Computing. Furthermore, Dr. Patil has been commended for his significant contributions to teaching and learning by the Principal of Dr. D.Y. Patil Institute of Engineering and Technology, Pune. These accolades underscore Dr. Patil’s commitment to excellence in computer engineering and research.

Research Skills

Dr. Pramod Patil possesses advanced research skills honed over years of academic and professional experience. His expertise spans various domains, including machine learning in smart electricity grids, mining concept drift data streams, data security and privacy, and blockchain applications in the medical field. With a robust understanding of research methodologies and techniques, Dr. Patil has guided numerous Ph.D., undergraduate, and postgraduate projects across diverse areas such as databases, management information systems, machine learning, data mining, security, mobile applications, and multimedia streaming. His research skills are evident in his prolific publication record, with numerous papers published in Scopus/Web of Science indexed conferences and journals, as well as non-indexed conferences and journals. Additionally, Dr. Patil has contributed to the development of patented technologies and copyrighted materials, further demonstrating his innovative research capabilities.

Publications

  1. CNN-AdaBoost based hybrid model for electricity theft detection in smart grid
    • Authors: S. Nirmal, P. Patil, J.R.R. Kumar
    • Journal: e-Prime – Advances in Electrical Engineering, Electronics and Energy
    • Year: 2024
    • Citations: 1
  2. FakeIDCA: Fake news detection with incremental deep learning based concept drift adaption
    • Authors: S. Suryawanshi, A. Goswami, P. Patil
    • Journal: Multimedia Tools and Applications
    • Year: 2024
    • Citations: 0
  3. Breast Cancer Detection Using Transfer Learning
    • Authors: J.P. Kshirsagar, B. Phulpagar, P. Patil
    • Journal: International Journal of Intelligent Systems and Applications in Engineering
    • Year: 2024
    • Citations: 0
  4. CAC-WOA: context aware clustering with whale optimization algorithm for knowledge discovery from multidimensional space in electricity application
    • Authors: P.G. Ahire, P.D. Patil
    • Journal: Cluster Computing
    • Year: 2024
    • Citations: 0
  5. BiLSTM CLASSIFIER MODEL FOR LAND COVER CHANGE DETECTION AND CLASSIFICATION | MODELO CLASSIFICADOR BiLSTM PARA DETECÇÃO E CLASSIFICAÇÃO DE ALTERAÇÕES DA COBERTURA DE TERRENOS
    • Authors: P. Surana, B. Phulpagar, P. Patil
    • Journal: Revista de Gestao Social e Ambiental
    • Year: 2024
    • Citations: 0
  6. Quantum Cryptography for Secure Autonomous Vehicle Networks: A Review
    • Authors: T. Pradhan, P. Patil
    • Conference: 2024 IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2024
    • Year: 2024
    • Citations: 0
  7. IRBM: Incremental Restricted Boltzmann Machines for Concept Drift Detection and Adaption in Evolving Data Streams
    • Authors: S. Suryawanshi, A. Goswami, P. Patil
    • Journal: Communications in Computer and Information Science
    • Year: 2024
    • Citations: 0
  8. CDA-PDDWE: Concept Drift-Aware Performance-Based Diversified Dynamic Weighted Ensemble for Non-stationary Environments
    • Authors: S. Suryawanshi, A. Goswami, P. Patil
    • Journal: Arabian Journal for Science and Engineering
    • Year: 2024 (Article in Press)
    • Citations: 0
  9. Recent Methods on Medical Image Inpainting and Multi-task Learning Using Deep Learning Models
    • Authors: P. Rakibe, P.D. Patil
    • Conference: Smart Innovation, Systems and Technologies
    • Year: 2024
    • Citations: 0
  10. Efficient approximation and privacy preservation algorithms for real time online evolving data streams
    • Authors: R.A. Patil, P.D. Patil
    • Journal: World Wide Web
    • Year: 2024
    • Citations: 1

 

Baljeet Singh | Powder Metallurgy | Best Researcher Award

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Dr. Baljeet Singh | Powder Metallurgy | Best Researcher Award

Associate Professor at Lovely Professional University, India.

Dr. Baljeet Singh is an Assistant Professor in the Department of Design at Lovely Professional University. With a Ph.D. in Mechanical Engineering from PTU, Jalandhar, and prior qualifications including an M.Tech from SLIET, Longowal, and a B.E. from MMEC, Ambala, he brings a wealth of academic expertise to his role. Dr. Singh’s professional journey began as a Lecturer at MMEC Mullana before joining Lovely Professional University, where he currently serves as an Associate Professor. His research interests span metal machining, process parameter optimization, composite materials, and powder metallurgy. Dr. Singh’s commitment to excellence is evident through his participation in various training programs and conferences focused on engineering education and research. With a dedication to advancing knowledge and fostering innovation, he plays a pivotal role in shaping the future of mechanical engineering education and research.

Professional Profiles:

Education:

Dr. Baljeet Singh holds an impressive academic background, culminating in a Ph.D. in Mechanical Engineering from PTU, Jalandhar, which he completed in 2024. Prior to his doctoral studies, he pursued a Master’s degree (M.Tech) in Mechanical Engineering from SLIET, Longowal, graduating in 2012. His academic journey began with a Bachelor’s degree (B.E.) in Mechanical Engineering from MMEC, Ambala, under the esteemed Kurukshetra University, which he completed in 2009. Dr. Singh’s educational foundation traces back to his secondary education at MVM Public School, where he completed both his 12th standard with Physics, Chemistry, and Mathematics, and his 10th standard with a focus on Science, under the CBSE board. This robust educational background has equipped him with the knowledge and expertise to excel in his professional career as an Assistant Professor in the Department of Design at Lovely Professional University.

Professional Experience

Dr. Baljeet Singh’s professional journey showcases his commitment to academia and expertise in mechanical engineering. He began his career as a Lecturer at MMEC Mullana in 2009, where he laid the foundation for his teaching career. His dedication and passion for education led him to join Lovely Professional University as an Associate Professor in 2012, a position he continues to hold. At Lovely Professional University, he contributes significantly to the Department of Design within the School of Mechanical Engineering, bringing his wealth of knowledge and experience to the classroom. Dr. Singh’s tenure as an educator reflects his dedication to nurturing the next generation of engineers and his ongoing pursuit of excellence in academia.

Research Interest

Dr. Baljeet Singh’s research interests span various aspects of mechanical engineering, focusing on metal machining, optimization of process parameters, composite materials, and powder metallurgy. His work delves into enhancing manufacturing processes, exploring innovative techniques to improve efficiency, and developing advanced materials for various applications. Through his research, Dr. Singh aims to contribute to the advancement of manufacturing technology, addressing real-world challenges and fostering innovation in the field. His dedication to research reflects his commitment to staying at the forefront of technological advancements and making meaningful contributions to the mechanical engineering domain.

Award and Honors

As of now, Dr. Baljeet Singh has not received any specific awards or honors in recognition of his contributions to the field of mechanical engineering. However, his dedication to teaching, research, and professional development is commendable, and he continues to actively engage in various training programs, conferences, and symposiums to enhance his skills and knowledge in the field. While he may not have received formal accolades yet, his commitment to excellence and ongoing efforts to advance the field through research and education are noteworthy achievements in themselves.

Research Skills

Dr. Baljeet Singh possesses a diverse set of research skills that enable him to excel in the field of mechanical engineering. With expertise in areas such as metal machining, optimization of process parameters, composite materials, and powder metallurgy, he demonstrates a strong foundation in both theoretical knowledge and practical application. His research skills extend to conducting experimental studies, data analysis, and interpretation, allowing him to contribute valuable insights to the field. Additionally, Dr. Singh is proficient in literature review, hypothesis formulation, and research methodology, enabling him to design and execute high-quality research projects. His ability to stay updated with the latest advancements in mechanical engineering and apply them to his research further enhances his capabilities in contributing to the academic and industrial domains.

Publications

  1. Wear Behavior and Surface Characterization of Grey Cast Iron GG25 under Lubricated Sliding Conditions
    • Authors: Singh, B.; Grewal, J.S.
    • Year: 2024
  2. Novel study on investigating the mechanical, microstructure morphological, and dry sliding wear characteristics of grey cast iron GG25 with copper additions for valve guides in internal combustion engine
    • Authors: Singh, B.; Singh Grewal, J.; Kumar, R.; Khan, M.I.; Ismail, E.A.A.
    • Year: 2023
    • Citations: 1
  3. Stock Market Prediction Using Deep Learning Algorithm: An Overview
    • Authors: Raj, P.; Ashu Mehta; Singh, B.
    • Year: 2023
    • Citations: 1
  4. Study of dry wear behavior of Novel ferrous samples prepared by powder metallurgy method
    • Authors: Singh, B.; Grewal, J.S.
    • Year: 2022
    • Citations: 3
  5. Business Intelligence Techniques Using Data Analytics: An Overview
    • Authors: Mallam, P.; Ashu; Singh, B.
    • Year: 2021
    • Citations: 1
  6. Effect of addition of flyash and graphite on the mechanical properties of A6061-T6
    • Authors: Singh, B.; Grewal, J.S.; Sharma, S.
    • Year: 2021
    • Citations: 5
  7. Critical Review on Corrosive Properties of Metals and Polymers in Oil and Gas Pipelines
    • Authors: Jha, K.; Dhakad, D.; Singh, B.
    • Year: 2020
    • Citations: 2
  8. Microstructure characteristics & mechanical properties of dissimilar tig weld between stainless steel and mild steel
    • Authors: Singh, B.; Kumar, P.; Kumara Swamy, S.K.; Ravella, U.K.; Midathda, A.
    • Year: 2017
    • Citations: 2
  9. Surface segregation of chromium carbide in stainless steel and its thermodynamic stability study by cyclic heat treatment
    • Authors: Singh, B.; Midunkumar, V.; Kumara Swamy, S.K.; Ravella, U.K.; Midathda, A.
    • Year: 2017
    • Citations: 2