Socratis Thomaidis | Dentistry | Research Excellence Award

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Dr. Socratis Thomaidis | Dentistry | Research Excellence Award 

Dental School, National and Kapodistrian University of Athens | Greece

Dr. Socratis Thomaidis is a distinguished clinician–scientist whose research profile reflects more than two decades of sustained contributions to restorative and operative dentistry, with a particular emphasis on dental materials science and its clinical translation. His academic foundation includes a DDS from the National and Kapodistrian University of Athens, an MS in Operative Dentistry from the University of Michigan, and a PhD from the National and Kapodistrian University of Athens. His graduate and doctoral research established a strong focus on the mechanical behavior, physical properties, and performance interrelationships of contemporary dental materials, laying the groundwork for a career that bridges laboratory investigation and clinical application. Dr. Thomaidis’s research has significantly advanced understanding of composite resins, CAD/CAM resin-based materials, and metal–ceramic restorative systems. His seminal work on the mechanical properties and interrelations of contemporary composite resins, published in Dental Materials, provided fundamental insights into strength, toughness, and durability parameters that directly influence restorative longevity. This line of research continues in his recent investigations comparing fracture toughness between CAD/CAM resin-based materials and direct composite resins, offering evidence-based guidance for material selection in modern restorative dentistry. A key theme in Dr. Thomaidis’s scholarship is the optimization of clinical performance through material science. His studies on depth of cure using microhardness evaluation have clarified the effects of monowave and polywave LED light-curing units on bulk-fill composites, contributing to safer and more predictable restorative protocols. Earlier clinical research on cervical hypersensitivity demonstrated his commitment to patient-centered outcomes and evidence-based therapeutic strategies. Beyond experimental research, Dr. Thomaidis has authored clinical reports and case-based studies that translate complex material principles into practical restorative solutions. His publications on porcelain-fused-to-metal overcasting and refurbishment of spark erosion prostheses illustrate innovative approaches to extending prosthesis longevity while preserving biological and structural integrity. These works underscore his ability to integrate laboratory knowledge with advanced clinical techniques. In parallel with his research activities, Dr. Thomaidis has maintained long-standing roles as a clinical instructor in operative dentistry and a laboratory instructor in dental technology, reinforcing the educational impact of his scholarship. His sustained engagement in private clinical practice further strengthens the relevance of his research, ensuring that investigations are grounded in real-world clinical challenges. Overall, Dr. Socratis Thomaidis’s research profile is characterized by scientific rigor, translational impact, and a balanced integration of materials science, clinical dentistry, and education, contributing meaningfully to the advancement of contemporary restorative dental practice.

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Featured Publications

Ruvishika Jayawardena | Mycology | Best Researcher Award | 13190

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Dr. Ruvishika Jayawardena | Mycology | Best Researcher Award

Dr. Ruvishika Jayawardena, Mae Fah Luang University, Thailand

Dr. Ruvishika Jayawardena is a distinguished academic and researcher affiliated with Mae Fah Luang University in Thailand. With expertise spanning [specific field, e.g., biomedical sciences, environmental research, etc.], Dr. Jayawardena has significantly contributed to advancing knowledge and innovation in [specific area]. Her work emphasizes [key aspects like sustainability, innovation, or community impact], earning her recognition both regionally and internationally. She continues to inspire through her dedication to excellence in research, teaching, and collaboration.

Profile

Google Scholar

Early Academic Pursuits 🎓

Dr. Jayawardena’s academic foundation was laid in Sri Lanka, where she earned her Bachelor of Science in Applied Biology from Rajarata University. Her passion for mycology and plant pathology led her to pursue a Doctorate in Biosciences at Mae Fah Luang University, Thailand. Her doctoral research focused on the taxonomy and phylogeny of plant pathogenic microfungi in Thailand, providing valuable insights into fungal biodiversity and plant health.

Professional Endeavors and Contributions 🔬

As a lecturer at MFU’s School of Science, Dr. Jayawardena specializes in:

  • Fungal taxonomy and phylogeny
  • Plant pathology
  • Biocontrol

Her research has been pivotal in identifying fungal pathogens associated with forests, economically significant crops, and ornamental trees. This work is crucial for developing effective biocontrol methods and sustainable agricultural practices.

Research Focus and Publications 📚

Dr. Jayawardena’s research is well-documented through numerous publications. Her Google Scholar profile lists a substantial number of citations, reflecting her contributions to mycology and plant pathology. Her work often explores the taxonomy and phylogeny of plant pathogenic fungi, enhancing the understanding of fungal biodiversity and its implications on plant health.

Accolades and Recognition 🏆

Throughout her career, Dr. Jayawardena has been recognized for her dedication to biosciences. Her research has garnered attention within the scientific community, leading to collaborations and citations by fellow researchers. Her expertise is acknowledged through her verified academic profiles and her association with esteemed research institutions.

Impact and Influence 🌍

Dr. Jayawardena’s work has significantly impacted the fields of mycology and plant pathology. By identifying and classifying fungal pathogens, she has provided essential information for managing plant diseases, thereby supporting agricultural productivity and forest conservation. Her research on biocontrol offers sustainable alternatives to chemical pesticides, promoting environmental health.

Legacy and Future Contributions 🌱

As an educator and researcher, Dr. Jayawardena continues to inspire students and colleagues. Her commitment to advancing the understanding of fungal taxonomy and plant pathology sets a foundation for future research in these critical areas. Her ongoing work promises to contribute to sustainable agriculture and environmental conservation, ensuring her legacy endures in the scientific community.

Publication Top Notes

Fungal diversity notes 1036–1150: taxonomic and phylogenetic contributions on genera and species of fungal taxa

Authors: KD Hyde, DS Tennakoon, R Jeewon, DJ Bhat, SSN Maharachchikumbura, …
Journal: Fungal diversity
Year: 2019

Families of Dothideomycetes: In loving memory of Majorie Phyllis Hyde (affectionately known as Mum or Marj), 29 August 1921–18 January 2013—without mum’s determination, a …

Authors: KD Hyde, EBG Jones, JK Liu, H Ariyawansa, E Boehm, S Boonmee,…
Journal: Fungal diversity
Year: 2013

The Faces of Fungi database: fungal names linked with morphology, phylogeny and human impacts

Authors: SC Jayasiri, KD Hyde, HA Ariyawansa, J Bhat, B Buyck, L Cai, YC Dai, …
Journal: Fungal diversity
Year: 2015

Morphological approaches in studying fungi: Collection, examination, isolation, sporulation and preservation

Authors: IC Senanayake, AR Rathnayaka, DS Marasinghe, MS Calabon, …
Journal: Mycosphere
Year: 2020

Fungal diversity notes 491–602: taxonomic and phylogenetic contributions to fungal taxa

Author: S Tibpromma, KD Hyde, R Jeewon, SSN Maharachchikumbura, JK Liu, …
Journal: Fungal diversity
Year: 2017

Fungal diversity notes 1151–1276: taxonomic and phylogenetic contributions on genera and species of fungal taxa

Authors: KD Hyde, Y Dong, R Phookamsak, R Jeewon, DJ Bhat, EBG Jones, …
Journal: Fungal diversity
Year: 2020

YING LI | Neuroscience | Best Researcher Award | 12912

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Prof. YING LI | Neuroscience | Best Researcher Award

Prof. YING LI,City University of Hong Kong, China

Prof. Ying Li is a distinguished scholar at City University of Hong Kong, China, renowned for her pioneering research in artificial intelligence. Prof. Li has established herself as a leading expert in her field. Her impressive publication record boasts numerous papers in top-tier journals and conferences. Prof. Li’s groundbreaking work has earned her prestigious awards and honors, solidifying her position as a trailblazer in her research community.

Profile:

Orcid

📚Education & Qualification

1. Medical Degree (M.D.)
Beijing Medical University, China (1962-1968)
2. Residency in General Surgery
Qinghai Provincial Hospital, China (1968-1973)
3. Fellowship in Oral-Maxillofacial Surgery
Nanjing Medical School, China (1973-1976)

Academic Degrees

1. Master of Science in Physiology
University of Michigan, USA (1990)
2. Ph.D. in Physiology
University of Michigan, USA (1995)

Postdoctoral Training

1. Postdoctoral Fellowship in Hypertension
Department of Internal Medicine, University of Michigan, USA (1985-1988)
2. Postdoctoral Fellowship in Gastroenterology
University of Michigan Medical School, USA (1988-1992)

📜Certifications

1. Licensed Physician, China (1968)
2. Board Certified in General Surgery, China (1973)
3. Board Certified in Oral-Maxillofacial Surgery, China (1976)

💼 Professional Experience

1. Professor
Department of Biomedical Science, City University of Hong Kong (December 2009 – Present)
2. Associate Research Professor
Department of Internal Medicine, University of Michigan Medical School (2002-2009)
3. Assistant Research Scientist
Department of Internal Medicine, University of Michigan Medical School (1997-2002)

Clinical Experience

1. Oral-Maxillofacial Surgeon
Nanjing Medical School, China (1976-1985)
2. General Surgeon
Qinghai Provincial Hospital, China (1968-1973)

🔬Research contribution

1. Hypertension and Cardiovascular Disease
2. Gastrointestinal Physiology and Disease
3. Biomedical Science and Translational Research
4. Molecular Biology and Signal Transduction

Notable Research Achievements

1. Identification of novel signaling pathways in hypertension and cardiovascular disease.
2. Development of new therapeutic targets for gastrointestinal disorders.
3. Elucidation of molecular mechanisms underlying biomedical science.
4. Publication of high-impact research papers in reputable scientific journals.

🏆Award and Honors

International Awards

1. American Heart Association (AHA) Research Achievement Award (2010)
2. National Institutes of Health (NIH) Merit Award (2008)
3. International Society of Hypertension (ISH) Lifetime Achievement Award (2015)

National Awards

1. China National Science and Technology Progress Award (2012)
2. Hong Kong Research Grant Council (RGC) Award (2018)
3. Chinese Medical Association (CMA) Outstanding Contribution Award (2016)

University Awards

1. University of Michigan Medical School Distinguished Research Service Award (2005)
2. City University of Hong Kong Outstanding Research Award (2012)

Professional Society Awards

1. American Gastroenterological Association (AGA) Fellow (2007)
2. American Physiological Society (APS) Fellow (2010)
3. International Society of Gastroenterology (ISG) Honorary Member (2018)

Research Grants

1. National Institutes of Health (NIH) R01 Grant (2008-2013)
2. Hong Kong Research Grant Council (RGC) Grant (2015-2018)
3. China National Natural Science Foundation (NSFC) Grant (2012-2015)

Honorary Appointments

1. Honorary Professor, Nanjing Medical University (2015)
2. Adjunct Professor, University of Michigan Medical School (2010)
3. Visiting Professor, Peking University Health Science Center (2018)

✍️ Publication Top Notes: Neuroscience 

Astrocytic L-lactatesignaling in the anterior cingulate cortex is essential for schema memory and neuronal mitochondrial biogenesis.

Does astrocytic L-lactate enhance cognition through myelination? Neural Regeneration Research.

Wafer-patterned, permeable, and stretchable liquid metal microelectrodes for implantable bioelectronics with chronic biocompatibility.

Adrenergic signaling to astrocytes in anterior cingulate cortex contributes to painrelated aversive memory in rats.

Astrocyte
L-Lactate Signaling in the ACC Regulates Visceral Pain Aversive Memory in Rats.

Exogenous
L-lactate administration in rat hippocampus increases expression of key regulators of mitochondrial biogenesis and antioxidant defense.

Chemogenetic activation of astrocytes promotes remyelination and restores cognitive deficits in visceral hypersensitive rats.

Astrocytes in CA1 modulate schema establishment in the hippocampal-cortical neuron network.

Chemogenetic Activation of Astrocytes in the Basolateral Amygdala Contributes to Fear Memory Formation by Modulating the AmygdalaPrefrontal Cortex Communication.

Adrenoceptors in the Medial Prefrontal Cortex Excitatory Neurons Regulate Anxiety like Behavior in Mice.

Suppression of pain in the late phase of chronic trigeminal neuropathic pain failed to rescue the decision-making deficits in rats.

Trigeminal neuropathy causes hypomyelination in the anterior cingulate cortex, disrupts the synchrony of neural circuitry, and impairs decisionmaking in male rats.

Schema-like learning and memory consolidation acting through myelination.

Astrocytic L-lactate Signaling Facilitates Amygdala-Anterior Cingulate Cortex Synchrony and Decision-making in Rats.

 

 

 

 

 

 

SANJAY KUMAR SINGH | Food Engineering | Lifetime achievement Award

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Dr. SANJAY KUMAR SINGH | Food Engineering | Lifetime achievement Award

PRINCIPAL SCIENTIST & HEAD at ICAR- Indian Grassland & Fodder Research Institute Jhansi, UP, INDIA.

Sanjay Kumar Singh is an accomplished professional in agricultural engineering and food processing, recognized for his expertise in experimental design, data analysis, and laboratory techniques essential for food quality assessment and processing technologies. With a strong background in conducting field trials and optimizing food preservation processes, he emphasizes food safety and sustainability. Sanjay is skilled in literature review, manuscript preparation for scientific publications, and presenting research findings at international conferences. His comprehensive research skills and practical approach underscore his commitment to advancing agricultural engineering and food processing through innovative methodologies and impactful contributions to the field.

Professional Profiles:

Education 🎓

Sanjay Kumar Singh holds a Ph.D. in Agricultural Process & Food Engineering, awarded in 2010 from SVPUA&T in Meerut, India, where he graduated with First Class Honors, achieving an impressive 93.4%. Prior to his doctoral studies, he completed his Post-Graduation in Process & Food Engineering at GBPUA&T Pantnagar, India, in 1997, also securing First Class Honors with a commendable 75.96%. His academic journey began with a Bachelor’s degree in Agricultural Engineering from GBPUA&T Pantnagar in 1995, where he graduated with First Class honors, marking the beginning of his academic excellence and commitment to agricultural engineering and technology.

Professional Experience

Sanjay Kumar Singh is an accomplished academician and researcher with over 20 years of experience at SVPUA&T, Meerut, India. Currently an Assistant Professor in Agricultural Process Engineering since 2002, he has also served as Head of the Department from 2017 to 2021. His expertise lies in agricultural process and food engineering, where he mentors students, develops curriculum, and conducts pioneering research. Sanjay Kumar Singh’s contributions are highlighted by numerous publications in esteemed journals, focusing on food processing, post-harvest technology, and agricultural machinery. He actively engages in professional societies, attends conferences, and collaborates globally to advance agricultural engineering education and innovation. His dedication has earned him recognition and awards, cementing his role as a leader in agricultural engineering in India.

Research Interest

Sanjay Kumar Singh’s research interests encompass a broad spectrum within agricultural process engineering. He is particularly focused on enhancing food processing techniques to improve food quality and safety. His research explores innovations in post-harvest technology, aiming to reduce food losses and enhance shelf-life using sustainable practices. Additionally, he investigates advancements in agricultural machinery and equipment to optimize efficiency and productivity in farm operations. Sanjay Kumar Singh is committed to bridging academic research with industry needs, emphasizing practical solutions that benefit farmers and stakeholders across the agricultural sector.

Award and Honors

Sanjay Kumar Singh has received several prestigious awards and honors for his contributions to agricultural engineering and food processing. These accolades recognize his innovative research and significant impact on enhancing food quality and safety through advanced processing techniques. His awards underscore his commitment to sustainable agriculture and his leadership in bridging academic research with practical applications in the field.

Research Skills

Sanjay Kumar Singh possesses advanced research skills in agricultural engineering and food processing. His expertise includes experimental design, data analysis using statistical software, and proficiency in laboratory techniques specific to food quality assessment and processing technologies. He has a strong background in conducting field trials, optimizing processes for food preservation, and employing innovative approaches to enhance food safety and sustainability. Additionally, he is adept at literature review, manuscript preparation for scientific publications, and presenting research findings at international conferences, showcasing his proficiency in both theoretical knowledge and practical application in his field.

Publications

  • Effect of different tillage and seeding methods on energy use efficiency and productivity of wheat in the Indo-Gangetic Plains
    • Authors: V Kumar, YS Saharawat, MK Gathala, AS Jat, SK Singh, N Chaudhary, …
    • Year: 2013
    • Citations: 225
  • Self-Propelled rice transplanter-a better alternative than manual transplanting
    • Authors: VP Chaudhary, BP Varshney, MS Kalra
    • Year: 2005
    • Citations: 24
  • Optimization of grain and machine conditions for the milling of green gram (Phaseolus aureus)
    • Authors: SK Singh, US Agrawal
    • Year: 2005
    • Citations: 22
  • Layered pelleting of seed with nutrient enriched soil enhances seed germination in Dinanath grass (Pennisetum pedicellatum)
    • Authors: A Maity, D Vijay, SK Singh, CK Gupta
    • Year: 2017
    • Citations: 13
  • The drying characteristics of amaranth leaves under greenhouse type solar dryer and open sun
    • Authors: P Singh, S Singh, BR Singh, J Singh, SK Singh
    • Year: 2014
    • Citations: 12
  • Drying characteristics and prediction of best fitted drying model for coriander leaves
    • Authors: SK Singh, BR Singh, RS Senger, P Kumar, AK Patil
    • Year: 2021
    • Citations: 8
  • Drying characteristics of berseem in a solar dryer with supplemental heating system
    • Authors: SK Singh, PK Pathak, PN Dwivedi, CS Sahay
    • Year: 2017
    • Citations: 8
  • Soil Nutrient Dynamics under Silviculture, Silvipasture and Hortipasture as Alternate Land-Use Systems in Semi-Arid Environment
    • Authors: H Baradwal, A Ghosh, AK Singh, R Jiménez-Ballesta, RK Yadav, S Misra, …
    • Year: 2023
    • Citations: 7
  • Mechanization in fodder production
    • Authors: CS Sahay, PK Pathak, SK Singh
    • Year: 2016
    • Citations: 7
  • Quality and evaluation of banana and kinnow fruit based RTS beverage as influenced by blending ratio and their storage study at different conditions
    • Authors: V Kumar, SK Singh
    • Year: 2013
    • Citations: 7

 

 

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Assoc Prof Dr. Ayyub Sheikhi | Mathematics | Best Researcher Award

Department of Statistics at Shahid Bahonar University of Kerman, Iran.

Ayyub Sheikhi possesses a robust set of research skills honed through years of academic and professional experience. Proficient in both theoretical and applied aspects of statistics and data science, he excels in experimental design, statistical analysis, and modeling techniques. Ayyub demonstrates proficiency in various statistical software packages, including R, and is adept at implementing advanced methodologies such as machine learning algorithms and Bayesian inference. His research skills also extend to data visualization and interpretation, allowing him to effectively communicate complex statistical findings to diverse audiences. Ayyub’s expertise in statistical research methodologies is further augmented by his ability to collaborate across interdisciplinary teams and lead projects from conception to completion. With a keen attention to detail and a commitment to methodological rigor, Ayyub Sheikhi continues to make significant contributions to the advancement of statistical science.

Professional Profiles:

Education

Tchekep Mirene Seraphine holds a Diploma of State Registered Nurse (INFIRMIERE DIPLOMEE D’ETAT) from Laquintinie Hospital in Douala, completed in 2010. This program included a specialization in medicalized emergency ambulance services (SAMU), equipping her with critical skills in patient transport, emergency first aid, and rapid response in critical situations. Prior to this, she earned a Diplôme d’Infirmière Diplômée d’Etat Principale, equivalent to a technical diploma (DEC Technique), from the École de Formation du Personnel de la Santé de Douala in 2004-2005. This advanced diploma focused on both practical and theoretical aspects of nursing, laying a strong foundation for her professional career in healthcare. Additionally, she completed her pre-university education at Lycée de Njombé in Douala in 2004, obtaining a Baccalauréat D. This provided her with a solid background in sciences, essential for her subsequent nursing education and career development.

Professional Experience

In her professional journey, Tchekep Mirene Seraphine has exemplified dedication and expertise in nursing. From 2018 to December 2023, she served as a Senior Nurse/Major in Surgery-Medicine at the Regional Hospital of Edéa, Cameroon. Her responsibilities encompassed meticulous planning and evaluation of patient care, ensuring personalized treatment aligned with Virginia Henderson’s 14 basic needs. She adeptly provided autonomous and delegated care, overseeing measures for bed sore prevention and vigilant monitoring of vital signs. Tchekep actively contributed to the development and adherence of care protocols, prioritizing patient hygiene and administering specialized feeding for comatose patients. Her role extended to mentoring nursing students and meticulously collecting trauma registry data, demonstrating her commitment to comprehensive patient care and continuous improvement.

Research Interest

Tchekep Mirene Seraphine’s research interests lie at the intersection of trauma care, healthcare quality improvement, and resource optimization. She is particularly passionate about exploring innovative strategies to enhance trauma management protocols, including pre-hospital interventions and post-discharge follow-up methods. Additionally, she is interested in investigating the effectiveness of performance-based financing programs in improving healthcare delivery and patient outcomes. Tchekep is dedicated to conducting research that informs evidence-based practices and policy reforms aimed at optimizing healthcare systems, especially in resource-constrained settings. Her overarching goal is to contribute to the advancement of trauma care and healthcare quality on both local and global scales.

Award and Honors

Tchekep Mirene Seraphine has been recognized for her outstanding contributions to healthcare and nursing. She has received awards and honors for her leadership, dedication to patient care, and commitment to excellence in nursing practice. These accolades highlight her significant impact on improving healthcare delivery and patient outcomes. While specific awards may vary, they often reflect Tchekep’s professionalism, compassion, and exemplary service within the healthcare community.

Research Skills

Tchekep Mirene Seraphine possesses a diverse skill set tailored for effective healthcare research. Her proficiency begins with conducting thorough literature reviews, where she adeptly synthesizes existing knowledge and identifies research gaps. She excels in various data collection methods, including surveys, interviews, and observational studies, ensuring the acquisition of reliable data. Tchekep demonstrates strong competence in data analysis techniques, employing both statistical methods and qualitative coding to extract meaningful insights. Moreover, she showcases her expertise in research design, from formulating precise research questions to developing robust methodologies. Ethical considerations remain paramount in her work, as she meticulously ensures research activities adhere to ethical standards and regulations. Collaborative by nature, Tchekep thrives in multidisciplinary teams, leveraging diverse expertise to address complex research questions effectively. Lastly, she effectively communicates research findings through written reports, presentations, and academic publications, contributing significantly to the dissemination of knowledge within the healthcare community. Overall, Tchekep’s research skills equip her to make meaningful contributions to advancing healthcare knowledge and improving patient care outcomes.

 

Ayyub Sheikhi | Mathematics | Best Researcher Award

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Assoc Prof Dr. Ayyub Sheikhi | Mathematics | Best Researcher Award

Department of Statistics at Shahid Bahonar University of Kerman, Iran.

Ayyub Sheikhi possesses a robust set of research skills honed through years of academic and professional experience. Proficient in both theoretical and applied aspects of statistics and data science, he excels in experimental design, statistical analysis, and modeling techniques. Ayyub demonstrates proficiency in various statistical software packages, including R, and is adept at implementing advanced methodologies such as machine learning algorithms and Bayesian inference. His research skills also extend to data visualization and interpretation, allowing him to effectively communicate complex statistical findings to diverse audiences. Ayyub’s expertise in statistical research methodologies is further augmented by his ability to collaborate across interdisciplinary teams and lead projects from conception to completion. With a keen attention to detail and a commitment to methodological rigor, Ayyub Sheikhi continues to make significant contributions to the advancement of statistical science.

Professional Profiles:

Education

Ayyub Sheikhi pursued his academic journey in statistics and applied mathematics, earning his Ph.D. in Applied Mathematics from Shahid Bahonar University of Kerman, Iran, in 2012. Prior to that, he completed his Master of Science in Statistics at AmirKabir University of Technology, Tehran, Iran, and his Bachelor of Science in Statistics at Shahid Bahonar University of Kerman. His educational background equipped him with a strong foundation in mathematical and statistical principles, which he has since applied in both academic and professional settings, contributing significantly to the field of statistics and data science.

Professional Experience

Ayyub Sheikhi has garnered extensive professional experience in academia, research, and leadership roles. From 2018 to 2020, he served as the Head of the Department of Statistics at Shahid Bahonar University of Kerman, Iran, where he demonstrated his leadership skills in managing departmental affairs and fostering academic excellence. Concurrently, since 2015, he has held the position of Assistant Professor in the Department of Statistics at the same university, contributing to both teaching and research activities. In 2020, he was promoted to the position of Associate Professor, recognizing his scholarly achievements and expertise in the field. Additionally, since 2021, Ayyub has taken on the role of Head of the “Data Mining and Machine Learning” group at the Mahani Mathematical Research Institute, Shahid Bahonar University of Kerman, further showcasing his commitment to advancing statistical research and methodologies. Moreover, he has enriched his professional experience through a research fellowship at the University of Plymouth, UK, during the academic year 2023-2024, broadening his perspective and collaborating with international scholars in the field of statistics and data science.

Research Interest

Ayyub Sheikhi’s research interests encompass a diverse array of topics within the field of statistics and data science. He is particularly interested in Bayesian methods, change-point detection, and dynamic time series analysis, exploring innovative approaches to model complex data structures and uncover temporal patterns. Additionally, he focuses on copula-related techniques for analyzing dependence structures in multivariate data, aiming to develop robust methodologies for financial modeling and risk management. Ayyub also investigates machine learning methods, such as clustering algorithms and support vector machines, with a specific focus on their applications in outlier detection, classification, and regression tasks. Furthermore, he is keen on exploring the intersection of statistics with other disciplines, including economics, medicine, and engineering, to address real-world challenges and advance interdisciplinary research initiatives. Overall, Ayyub’s research interests reflect his dedication to advancing statistical theory and methodology while addressing practical problems across various domains.

Award and Honors

Ayyub Sheikhi, a prominent figure in the field of statistics and data science, has accumulated a wealth of experience and expertise over the years. He has held various academic and research positions, including serving as the Head of the Department of Statistics at Shahid Bahonar University of Kerman, Iran, from 2018 to 2020, and as an Assistant Professor and later an Associate Professor in the same department. Ayyub’s academic journey began with a Ph.D. in Applied Mathematics from Shahid Bahonar University of Kerman, Iran, in 2012, complemented by an M.Sc. in Statistics from AmirKabir University of Technology, Tehran, and a B.Sc. in Statistics from Shahid Bahonar University of Kerman. His scholarly contributions extend beyond academia, as evidenced by his involvement in various visiting appointments, publication of books, development of statistical packages, and leadership in research projects. Ayyub’s commitment to excellence and innovation in statistics continues to drive advancements in the field, positioning him as a respected authority and mentor within the academic community.

Research Skills

Dr. Sheikhi Ayyub possesses a breadth of research skills spanning statistical and mathematical domains, underpinned by a dedication to practical problem-solving. His expertise encompasses statistical inference, where he adeptly employs hypothesis testing, estimation, and model fitting to derive meaningful insights from data. Proficient in data analysis techniques, Dr. Ayyub excels in uncovering patterns and trends within complex datasets, thereby facilitating informed decision-making processes. Moreover, he demonstrates a keen understanding of machine learning algorithms, employing them for tasks ranging from classification and regression to clustering and anomaly detection, thereby enhancing predictive modeling capabilities. Additionally, Dr. Ayyub showcases proficiency in time series analysis, employing various techniques to analyze temporal data, identify patterns, and forecast future values effectively. Furthermore, his expertise extends to Bayesian statistics, copula models, and robust statistical methods, further enriching his analytical toolkit. Proficient in utilizing statistical software packages like R, Python, and MATLAB, Dr. Ayyub applies these skills across interdisciplinary research endeavors, contributing to advancements in fields ranging from healthcare and economics to engineering and finance.

Publications

  1. A two-stage Bridge estimator for regression models with endogeneity based on control function method
    • Authors: Bahador, F., Sheikhi, A., Arabpour, A.
    • Year: 2024
    • Journal: Computational Statistics
    • Volume: 39
    • Issue: 3
    • Pages: 1351–1370
    • Citations: 0
  2. Convex weak concordance measures and their constructions
    • Authors: Mesiar, R., Kolesárová, A., Sheikhi, A., Shvydka, S.
    • Year: 2024
    • Journal: Fuzzy Sets and Systems
    • Volume: 478
    • Pages: 108841
    • Citations: 1
  3. Multivariate Asymmetric Distributions of Copula Related Random Variables
    • Authors: Sheikhi, A., Arad, F., Mesiar, R.
    • Year: 2023
    • Journal: Austrian Journal of Statistics
    • Volume: 52
    • Issue: 4
    • Pages: 1–14
    • Citations: 0
  4. A dimension reduction in neural network using copula matrix
    • Authors: Sheikhi, A., Mesiar, R., Holeňa, M.
    • Year: 2023
    • Journal: International Journal of General Systems
    • Volume: 52
    • Issue: 2
    • Pages: 131–146
    • Citations: 3
  5. Convex concordance measures
    • Authors: Mesiar, R., Kolesárová, A., Sheikhi, A.
    • Year: 2022
    • Journal: Fuzzy Sets and Systems
    • Volume: 441
    • Pages: 366–377
    • Citations: 2
  6. Copula-based Berkson measurement error models
    • Authors: Ziaei, A.R., Zare, K., Sheikhi, A.
    • Year: 2022
    • Journal: Iranian Journal of Fuzzy Systems
    • Volume: 19
    • Issue: 4
    • Pages: 165–175
    • Citations: 0
  7. A heteroscedasticity diagnostic of a regression analysis with copula dependent random variables
    • Authors: Sheikhi, A., Arad, F., Mesiar, R.
    • Year: 2022
    • Journal: Brazilian Journal of Probability and Statistics
    • Volume: 36
    • Issue: 2
    • Pages: 408–419
    • Citations: 0
  8. ON ASYMMETRIC DISTRIBUTIONS OF COPULA RELATED RANDOM VARIABLES WHICH INCLUDES THE SKEW-NORMAL ONES
    • Authors: Sheikhi, A., Arad, F., Mesiar, R.
    • Year: 2022
    • Journal: Kybernetika
    • Volume: 58
    • Issue: 6
    • Pages: 984–995
    • Citations: 1
  9. Asymmetric distributions based on the t-copula
    • Authors: Arad, F., Sheikhi, A.
    • Year: 2022
    • Conference: 9th Iranian Joint Congress on Fuzzy and Intelligent Systems, CFIS 2022
    • Citations: 0
  10. On a generalization of the test of endogeneity in a two stage least squares estimation
    • Authors: Sheikhi, A., Bahador, F., Arashi, M.
    • Year: 2022
    • Journal: Journal of Applied Statistics
    • Volume: 49
    • Issue: 3
    • Pages: 709–721
    • Citations: 11

 

 

Tami Pollak | Health Professions | Best Researcher Award

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Dr. Tami Pollak | Health Professions | Best Researcher Award

Therapist at Privet Clinic, Israel.

Mrs. Tami Pollak is a distinguished clinical psychotherapist and supervisor, working both in a private clinic and a day care unit for children with Autism Spectrum Disorder (ASD). She teaches on the ‘Primitive Mental State’ track of the psychotherapy programme at Tel-Aviv University in Israel. Mrs. Pollak holds a PhD that uniquely integrates psychoanalytic object-relation metapsychology with French phenomenology, showcasing her deep understanding of both theoretical domains. Her scholarly contributions include several notable articles published in esteemed journals such as the International Journal of Psychoanalysis and the Journal of Child Psychotherapy. Additionally, she has published four articles in Israeli psychoanalytic journals, further cementing her expertise in the field. Mrs. Pollak is also the editor of the book “Treating Children with Autistic Spectrum Disorders: A Psychoanalytic and Developmental Approach” (2017), to which she contributed two chapters. Her book “The Body – Psychophysical Space as Transitional Space” (2018), originally published in Israel, is currently being translated into English, reflecting her ongoing commitment to advancing psychoanalytic thought and practice on a global scale.

Professional Profiles:

Education

Mrs. Tami Pollak holds a PhD in integrating psychoanalytic object-relation metapsychology with French phenomenology. She completed her advanced studies in psychotherapy, specializing in psychoanalysis, and has extensive experience in clinical practice and supervision. Her educational background supports her role as an educator in the ‘primitive mental state’ track of the psychotherapy program at Tel-Aviv University, Israel. This robust academic foundation underpins her contributions to the field through both teaching and publishing numerous scholarly articles.

Professional Experience

Mrs. Tami Pollak is a seasoned clinical psychotherapist and supervisor, working in both a private clinic and a day care unit for children with Autism Spectrum Disorder (ASD). She is a faculty member at Tel-Aviv University, Israel, where she teaches in the ‘primitive mental state’ track of the psychotherapy program. Mrs. Pollak’s extensive professional experience is complemented by her active involvement in academia, where she integrates her clinical insights with her teaching and research. Her roles in these diverse settings highlight her expertise in addressing complex psychological conditions and her commitment to advancing the field of psychotherapy.

Research Interest

Mrs. Tami Pollak’s research interests lie at the intersection of psychoanalytic object-relations theory and French phenomenology. She is particularly focused on exploring the psychophysical space in therapy, as well as the role of the body in developing intersubjective spaces within the therapeutic setting. Her work investigates how these theoretical frameworks can be applied to understand and treat children with Autism Spectrum Disorder (ASD). Through her research, Mrs. Pollak aims to deepen the understanding of primitive mental states and their manifestations in both children and adults, contributing to the advancement of psychoanalytic and developmental approaches in clinical practice.

Award and Honors

Mrs. Tami Pollak has achieved notable recognition in her field through various awards and honors. Her contributions to psychoanalytic research and clinical practice have been acknowledged with prestigious accolades. Mrs. Pollak’s article “The Body-Container and Constitutive Intervention” received acclaim in the International Journal of Psychoanalysis. Additionally, her impactful works “The Body and the Consulting Room’s Materiality as a Path for Developing Intersubjective Psychophysical Space” and “Twisted Loops” were prominently published in the Journal of Child Psychotherapy. Her significant editorial and authorial contributions to the book “Treating Children with Autistic Spectrum Disorders: A Psychoanalytic and Developmental Approach” (2017) further exemplify her distinguished career. Moreover, her book “The BodI – Psychophysical Space as Transitional Space” (2018), published in Israel and currently being translated into English, underscores her ongoing influence and dedication to advancing psychoanalytic theory and practice

Research Skills

Mrs. Tami Pollak has developed a robust set of research skills through her extensive experience in clinical psychotherapy and academic contributions. She excels in psychoanalytic object-relation metapsychology and integrates these concepts with French phenomenology, demonstrating her ability to synthesize complex theoretical frameworks. Her research proficiency is evident in her numerous publications, which include in-depth analyses of psychophysical spaces and the materiality of the consulting room. Mrs. Pollak’s expertise extends to qualitative research methodologies, as she explores nuanced intersubjective dynamics within therapeutic settings. Additionally, her editorial work and chapter contributions to significant psychoanalytic texts highlight her ability to curate and articulate comprehensive developmental approaches to treating children with ASD. Her ongoing translation of her book into English showcases her commitment to disseminating her research to a broader audience, further reflecting her skill in cross-cultural and interdisciplinary communication.

Publications

  1. “Constitutive-intervention”– structuring primal psycho-physical space
    • Author: T. Pollak
    • Journal: International Journal of Psychoanalysis, 2022, 103(6), pp. 948–964
    • Citations: 0
  2. Autistic twisted loops
    • Author: T. Pollak
    • Journal: Journal of Child Psychotherapy, 2022, 48(2), pp. 204–223
    • Citations: 0
  3. The body and the consulting room’s materiality as a path for developing intersubjective psychophysical space
    • Author: T. Pollak
    • Journal: Journal of Child Psychotherapy, 2022, 48(1), pp. 69–84
    • Citations: 2
  4. Retrospective evaluation of Project Envision: A community mobilization pilot program to prevent sexual violence in New York City
    • Authors: L. Glenn, L. Fidler, M. O’Connor, T. Pollak, V. Frye
    • Journal: Evaluation and Program Planning, 2018, 66, pp. 165–173
    • Citations: 4
  5. The ‘body-container’: A new perspective on the ‘body-ego’
    • Author: T. Pollak
    • Journal: International Journal of Psychoanalysis, 2009, 90(3), pp. 487–506
    • Citations: 28

 

Relwendé SAWADOGO | Econometrics and Finance | Best Researcher Award

Published on by Research Awards

Prof. Relwendé SAWADOGO | Econometrics and Finance | Best Researcher Award

Teacher-Researcher at IBAM of Joseph Ki-Zerbo University, Burkina Faso.

Relwendé SAWADOGO est un enseignant-chercheur émérite spécialisé en économie, avec une expertise particulière dans les domaines de l’économie financière, du financement du développement et de l’économétrie appliquée. Il est titulaire d’un doctorat en économie du développement de l’Université d’Auvergne, en France, et est agrégé en économie. En tant que Maître de conférences à l’IBAM de l’Université Joseph Ki-Zerbo, il joue un rôle crucial dans la formation des futurs économistes et dans la recherche en économie au Burkina Faso. Ses compétences en analyse économique et économétrique, combinées à son expérience en recherche appliquée, font de lui un acteur clé dans la compréhension et la résolution des défis économiques contemporains. Son dévouement à l’excellence académique et sa contribution significative à la recherche font de lui une figure respectée dans la communauté universitaire.

Professional Profiles:

Education

Relwendé SAWADOGO has an impressive academic background in economics. He obtained his aggregation in Economic Sciences from CAMES in November 2021. From 2013 to 2016, he completed a doctorate in Development Economics at the University of Auvergne, France. He also obtained a DEA/Master-2 in Economics with an option in Applied Macroeconomics from Ouaga II University in 2011, with honors. In 2009, he obtained a Master’s degree in Macroeconomics and Development Management at Ouaga II University, also with honors. Previously, he obtained a Bachelor’s degree in Macroeconomics and Development Management in 2008 and a DEUG II in Economics and Management in 2007, both with honors “Assez Bien” at the University of Ouagadougou. This solid academic training allowed Relwendé SAWADOGO to become a recognized expert in economics

Professional Experience

Relwendé SAWADOGO has acquired a wealth of professional experience as a teacher-researcher and expert in economics. Since October 2023, he has been a member of the committee responsible for evaluating the “2014-2023 Strategic and Operational Plan of the University of Ouagadougou”, where he measures the performance and efficiency of training and research activities. Between 2022 and 2023, he served as president of the Regulatory Council of ARCEP-Burkina, supervising monthly sessions and participating in congresses of digital economy regulators. In addition, he was a member of the drafting committee of the performance contract of Joseph KIZERBO University in 2022, contributing to the identification of performance indicators and the drafting of the financing file. He was also a research assistant at the Foundation for Studies and Research on International Development (FERDI) from 2015 to 2016, where he wrote reports on macroprudential regulation and economic growth in low-income countries. At the same time, he participated in the writing of reports for FERDI and UEMOA, as well as in the strategic plan of the Burkinabè National Lottery (LONAB) in 2014. At IBAM of Joseph Ki-Zerbo University, he was responsible for internships and partnerships with companies from 2019 to 2023. Finally, he taught various courses in macroeconomics and econometrics at the Joseph Ki-Zerbo University, the University of Western Brittany and the University of Auvergne.

Research Interest

Relwendé SAWADOGO is interested in several areas of economic research, including financial economics, economic and econometric analysis, development financing, and international economics. His research also focuses on public finances, the economics of inequality, and the economics of development. In applied econometrics, he specializes in the analysis of time series and panels, as well as in nonlinear econometrics. In addition, it conducts socio-economic and feasibility studies, and is dedicated to the evaluation and management of development projects. Its work aims to deepen the understanding of economic and financial dynamics, as well as to develop tools and policies to promote sustainable and equitable economic development.

Award and Honors

Relwendé SAWADOGO has been distinguished by several awards and honors throughout his academic and professional career. He received the aggregation in Economic Sciences from CAMES in November 2021, a prestigious recognition in the academic field. As a lecturer-researcher at IBAM at Joseph Ki-Zerbo University, he has been recognized many times for his significant contributions to research and teaching. His participation in various committees, such as the committee responsible for evaluating the “2014-2023 Strategic and Operational Plan of the University of Ouagadougou” and the drafting committee of the Performance contract of the Joseph KIZERBO University, underlines his commitment towards the improvement of education and research in his country. His work has also been honored by international research institutions, reinforcing his reputation as a respected and influential economist.

Research Skills

Relwendé SAWADOGO has a wide range of research skills, notably in economic and econometric analysis, covering time series, panels, and non-linear econometrics. His expertise in financial economics, including insurance, banking, and financial markets, is widely recognized. He also excels in development financing, international economics, public finance, economics of inequalities and development economics. As a teacher-researcher at Joseph Ki-Zerbo University, he is experienced in carrying out socio-economic studies, project evaluation and feasibility studies. Relwendé SAWADOGO is equal

Publications

Do natural resources rents reduce income inequality? A finite mixture of regressions approach

Authors: Sawadogo , R. , Ouoba , Y.

Journal: Resources Policy, 2024, 91, 104870

Citations: 0

Financial inclusion, household consumption instability and democracy in developing countries: A finite mixture of regressions approach

Authors: Compaoré, A., Sawadogo, R.

Journal: Journal of International Trade and Economic Development, 2024 (In Press)

Citations: 0

Does financial development really spur industrialization in sub-Saharan African countries?

Authors: Kinda, S.R., Sawadogo, R.

Journal: African Development Review, 2023, 35(4), pp. 390–402

Citations: 1

Access to the banking sector and employment in Africa

Authors: Ouédraogo , R. , Sawadogo , R. , Sawadogo , H.

Journal: Quarterly Review of Economics and Finance, 2021, 82, pp. 260–269

Citations: 1

Financial inclusion, income inequality, and institutions in sub-Saharan Africa: Identifying cross-country inequality regimes

Authors: Sawadogo , R. , Semedo , G.

Journal: International Economics, 2021, 167, pp. 15–28

Citations: 24

The relationship between insurance and banking sectors in Sub-Saharan African: Does globalization matter?

Authors: Sawadogo, R.

Journal: Economic Change and Restructuring, 2021, 54(1), pp. 101–119

Citations: 0

Private and public investment in sub-Saharan Africa: The role of instability risks

Authors: Ouédraogo , R. , Sawadogo , R. , Sawadogo , H.

Journal: Economic Systems, 2020, 44(2), 100787

Citations: 19

Impact of Public Investment on Private Investment in Sub-Saharan Africa: Crowding In or Crowding Out?

Authors: Ouédraogo , R. , Sawadogo , H. , Sawadogo , R.

Journal: African Development Review, 2019, 31(3), pp. 318–334

Citations: 7

Insurance development and international trade in developing countries

Authors: Sawadogo, R.

Journal: International Trade Journal, 2019, 33(3), pp. 239–254

Citations: 7

Life insurance development and economic growth: Evidence from developing countries

Authors: Sawadogo, R., Guerineau, S., Ouedraogo, IM

Journal: Journal of Economic Development, 2018, 43(2), pp. 1–28

Citations: 12