جست‌وجوی استاد و پژوهشگر

• Cardiovascular Disease Risk Factors
• Public Health Nutrition
• Sports Nutrition
• +۴ مورد دیگر

Dr. Tyler Becker is an Associate Professor in the Department of Food Science and Human Nutrition at Michigan State University’s College of Agriculture & Natural Resources. He serves as the Nutritional Sciences Experiential Learning Coordinator and chairs the undergraduate Nutritional Sciences curriculum committee. PhD, Michigan State University, 2016 MA, Central Michigan University, 2013 BA, Alma College, 2011 His research focuses on cardiovascular disease risk factors in rural populations, pediatric cardiovascular health, sports nutrition, and exercise physiology. He explores health intervention programs and public health epidemiology, with additional interests in nutrition education and curriculum innovation. Dr. Becker’s peer-reviewed articles emphasize nutrition education, dietary supplement curricula, and predictive modeling in animal health. His 2025 outreach publications address practical topics like nutrient timing for athletes and winter physical activity strategies. CANR Excellence in Teaching – Established Teacher Award (2024) He teaches courses including HNF 102 (Dietary Supplements: Evidence vs. Hype), HNF 250 (Contemporary Issues in Human Nutrition), and HNF 485 (Advanced Public Health Nutrition). His affiliations include the MSU Sensory Evaluation Center and the Center for Research on Ingredient Safety.

Luca Modeneseمشاهده پروفایل

مدرس ارشد

• Computational biomechanics
• Musculoskeletal modeling
• Neuromuscular modeling
• +۲ مورد دیگر

Dr. Luca Modenese is a Senior Lecturer in Biomechanics at the Graduate School of Biomedical Engineering, University of New South Wales (UNSW). A recipient of the prestigious Scientia Fellowship , his research focuses on computational biomechanics with specialization in musculoskeletal and neuromuscular modeling. He has extensive experience across institutions including Imperial College London, Griffith University, and Sheffield University. Education : Mechanical Engineering (summa cum laude), University of Padua (2008) PhD in Structural Biomechanics, Imperial College London (2013) Research Expertise spans musculoskeletal modeling, neuromuscular simulation, orthopaedic biomechanics, and predictive computational methods. His work integrates patient-specific modeling with finite element analysis and predictive simulations. Recent publications highlight advancements in GAN-based motion data generation , electromyography-informed models , and AI-enhanced biomechanical analysis . Scientific Recognition : Scientia Fellowship (UNSW) Athanasiou ABME Award (2021) Publication of the Year (Australia and New Zealand Society of Biomechanics, 2017) Griffith University Awards (2015) OpenSim Fellows Program (Stanford, 2014) Supervision & Collaboration : Currently supervising PhD students Arnault Caillet and Metin Bicer at Imperial College London as external supervisor. Actively involved in research partnerships with institutions including Imperial College London, Stanford University, and the Menzies Health Institute Queensland.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۴ مورد دیگر

Dr. Milos Hauskrecht is a Professor of Computer Science at the University of Pittsburgh's School of Computing and Information. He holds a PhD from MIT (1997) and an M.Sc. from Slovak Technical University (1988). His research focuses on AI, machine learning, and data mining, with applications in medicine and finance. He leads projects in real-time clinical monitoring, anomaly detection, and time-series analysis of EHR data. He has advised numerous PhD and MS students, including notable alumni now at Amazon, DeepMind, and Microsoft. Research interests include reasoning under uncertainty, optimization, and AI-driven medical decision support. Current grants include NIH funding for AI in renal therapy and clinical monitoring. He has published widely in top venues like ICML, NeurIPS, and journals such as Artificial Intelligence in Medicine. His work on conditional outlier detection earned the Homer Warner Award (AMIA 2010). He teaches machine learning and advises on interdisciplinary AI projects.

• Physical Education
• Sports Science
• Exercise Physiology
• +۳ مورد دیگر

Aleksandar M. Ignjatović is a Full Professor of Physical Education and Methodology at the Faculty of Pedagogical Sciences, University of Kragujevac in Jagodina. He holds a PhD in Physical Education with a specialization in teaching methodology (2021), a Master's in Physical Education and Sports (2011), and a Diploma in Physical Education (2006) from the University of Niš. His research focuses on biomechanics of movement, strength and conditioning physiology, and pedagogical methods in physical education. He has contributed to projects like 'Effects of Applied Physical Activity on the Population of Serbia' (MIII 47015) and 'Biomechanical Efficiency of Elite Serbian Athletes' (OI 179019). He actively collaborates with institutions in Austria, Czech Republic, Slovakia, Slovenia, Portugal, Spain, Greece, and Japan through research visits and invited lectures. Key achievements include the Tallinn Young Researcher Award (2017) and peer-review roles for SCI journals (M21-M24). He has presented at international conferences in Russia, Czech Republic, and Japan, and serves as a reviewer for EU Tempus projects. His teaching spans undergraduate and graduate courses in physical education methodology, anthropomotorics, and recreational theory. International Collaborations: Visiting scholar at Graz University's Institute of Sport Sciences, Bratislava's Comenius University, and others. Professional Memberships: FIEP, AIESEP, ACSM, ECSS.

Emilio Villa Gonzálezمشاهده پروفایل

استاد

• Active Displacement
• Physical Condition Assessment
• Muscle Strength Training for Young People
• +۵ مورد دیگر

Emilio Villa González serves as a Professor at the University of Granada, Spain, within the Faculty of Sports Sciences and Department of Physical Education and Sports since 2017. As a founding member of the PROFITH research group (established 2013), he bridges academic expertise with a decade of prior professional experience in fitness centers as a personal training specialist. His academic credentials include a Bachelor's in Physical Activity and Sports Sciences from Alfonso X el Sabio University (2004-2009), followed by a Master's and Doctoral Program in Biomedicine at the University of Granada. He earned the Extraordinary Doctorate Award in the health area and holds two additional master's degrees plus four postgraduate expert qualifications. Professor Villa González's research centers on active displacement , physical condition assessment , muscle strength training for youth , physical activity promotion in educational contexts , sports initiation/specialization , and health-oriented fitness trends . His interdisciplinary approach integrates exercise science, public health, and educational theory to develop evidence-based interventions for youth health improvement. Analysis of his 2023-2025 publications reveals consistent focus on school-based interventions, particularly active commuting and muscular fitness. His work employs systematic reviews, meta-analyses, and RCTs with international collaborations, showing significant policy impact—such as influencing U.S. National Institute for Health guidelines through his 2018 active transport review. Emerging trends include gamified resistance training (RETRAGAM protocol) and physical literacy assessment within 24-hour movement frameworks. His scientific recognition includes: Extraordinary Doctorate Award for the health area While specific grant details aren't provided, his international research stays (Ecuador, Chile, New Zealand, Porto) and high-impact publications indicate active involvement in funded projects. His mentorship likely extends through PROFITH group initiatives, though student names aren't specified in source materials. The PROFITH research group forms his primary collaborative environment, uniting exercise scientists, public health experts, and educators to advance physical activity promotion through rigorous, policy-relevant research.

Natalia Imad Khalafمشاهده پروفایل

استادیار

• Pancreatic Cancer
• Gastroenterology
• Epidemiology
• +۳ مورد دیگر

Natalia Imad Khalaf, MD, MPH, FACP is an Assistant Professor in the Department of Medicine at Baylor College of Medicine with dual appointments as Clinical Investigator in the Clinical Effectiveness and Population Health Program and Core Faculty in the Health Policy, Quality & Informatics Program at the Center for Innovations in Quality, Effectiveness and Safety (IQuESt) at Michael E. DeBakey VA Medical Center. Her academic trajectory spans clinical gastroenterology, epidemiology, and health services research with focus on cancer outcomes. Her educational foundation includes: BA in Biological Sciences from Rice University (2007) MD from Baylor College of Medicine (2011) Internal Medicine Residency and Chief Medical Residency at Baylor College of Medicine (2014-2015) Gastroenterology & Hepatology Fellowship at Brigham and Women's Hospital (2018) MPH in Epidemiology from Harvard T.H. Chan School of Public Health (2018) Dr. Khalaf's research program centers on pancreatic cancer epidemiology, with emphasis on early detection biomarkers (particularly new-onset diabetes), metabolic risk factors, and healthcare system interventions. Her work integrates clinical gastroenterology with population health methodologies to address diagnostic delays, racial disparities in treatment, and implementation of evidence-based guidelines in gastrointestinal cancers. She actively develops risk prediction tools using health informatics and deep learning approaches. Analysis of her recent publications reveals a concentrated focus on pancreatic cancer pathophysiology and outcomes, with significant contributions to understanding pre-diagnostic metabolic changes, emergency presentation consequences, and diabetes-cancer linkages. Her colorectal cancer work examines screening adherence barriers and medication risk associations, while quality improvement research targets guideline implementation for gastric intestinal metaplasia. Her scientific recognition includes: AGA Academy of Educators Elected Member (2018) Bob Parsons Inaugural Fellow in Pancreatic Cancer Research (2017-2018) American Gastroenterological Association Early Career Investigator Recognition (2017) Soma Weiss Award for Clinical Teaching Excellence (2017) Dean of Medical Education Outstanding Resident Teacher Award (2013) Phi Beta Kappa Honor Society (2007) Dr. Khalaf directs multiple federally funded research initiatives including: VA Career Development Award: Health Informatics Approaches to Improve Early Diagnosis of Pancreatic Cancer ($1.09M, 2022-2026) National Academy of Sciences: Clinical Quality Measures for Gastrointestinal Cancers (2022-2027) Gordon and Betty Moore Foundation: Implementing Digital Quality Measures (2024-2025) American Pancreatic Association Young Investigator Grant (2019-2021) She operates within the IQuESt research ecosystem at the Michael E. DeBakey VA, leveraging the Clinical Effectiveness and Population Health Program infrastructure for her work on cancer diagnostic excellence, veteran health outcomes, and implementation science projects targeting gastrointestinal cancer care pathways.

Sam Allenمشاهده پروفایل

مدرس ارشد

• Biomechanics
• Sports Science
• Exercise Physiology
• +۳ مورد دیگر

Sam Allen is a Senior Lecturer in Sports Biomechanics at Loughborough University's School of Sport, Exercise, and Health Sciences. He is affiliated with the National Centre for Sport and Exercise Medicine (NCSEM) and specializes in biomechanical research related to sports performance and injury prevention. His academic journey includes a BSc from the University of Birmingham (2000), an MSc from Loughborough (2004), and a PhD in triple jump simulation (2009). Education: BSc Sport and Exercise Sciences, University of Birmingham, 2000 MSc Sports Biomechanics, Loughborough University, 2004 PhD in Computer Simulation of Triple Jump, Loughborough University, 2009 Research focuses on biomechanics of running, sprinting, and jumping, with an emphasis on injury mechanisms, muscle morphology, and performance optimization. Notable areas include sex differences in biomechanics, hamstring injury prevention, and neuromechanical adaptations during exercise. Publications highlight advanced topics like machine learning for injury prediction, force-velocity relationships in sprinting, and biomechanical modeling of prosthetic limbs. His work bridges theoretical simulations and practical athletic performance improvements. No scientific awards are explicitly mentioned. Advising and grants sections remain unreported in the provided text. He is associated with the Lifestyle for Health and Wellbeing and Sport Performance research groups. Labs/teams: Active contributor to NCSEM and biomechanics research teams at Loughborough University.

Olivier Girardمشاهده پروفایل

استاد

• Neuromuscular fatigue
• Hypoxia
• Altitude training
• +۵ مورد دیگر

Olivier Girard is a Professor at the School of Human Sciences, The University of Western Australia. His research focuses on neuromuscular fatigue, hypoxia, altitude training, heat stress, and sports performance in team/racket sports. He has secured over $980,000 in research grants as lead investigator and co-investigator, including studies on badminton, soccer, and tennis. His work contributes to UN Sustainable Development Goals related to health and well-being. Education: PhD in Human Movement Sciences from Université de Montpellier (2006). Research interests include physiological adaptations in extreme environments, caffeine effects on performance, and biomechanics of sprinting/asymmetry. Recent articles explore caffeine supplementation, altitude training for team sports, and heat acclimation strategies. Grants include studies on ischemic preconditioning in badminton (2017), altitude training protocols (2014), and heat stress in team sports (2017). Awards include the European College of Sport Science Fellowship (2017). Editorial roles include Frontiers in Sports and Active Living (Editor-in-Chief) and Journal of Science and Medicine in Sport. Key projects involve quantifying thermal strain in badminton (2022–2023) and evaluating caffeine’s impact on cycling sprints. His research bridges physiology, biomechanics, and applied sports science to optimize athlete performance and health.

• Sports Physiology
• Exercise Physiology
• Training Science
• +۷ مورد دیگر

Professor Mustafa Özdal of Gaziantep University 's Faculty of Sports Sciences is a leading researcher in Sports Physiology and Training Science . His work bridges Exercise Physiology with Biomechanics , focusing on how Cerebral Lateralization , Respiratory Muscle Training , and Training Protocols influence athletic performance and health metrics. Doctorate : 2012-2015, Ondokuz Mayıs University, Institute of Health Sciences, Physical Education and Sports Master's : 2010-2012, Gaziantep University, Institute of Health Sciences Bachelor's : 2002-2006, Gaziantep University, School of Physical Education and Sports, Department of Physical Education and Sports Teaching His research explores Neuroscience applications in sports (cerebral lateralization effects), Respiratory Physiology (impact of inspiratory training), and Biomechanics (balance, reaction time, muscle strength). Recent studies investigate core training in swimming, psychological resilience in basketball referees, and digital game addiction correlations. His 89+ peer-reviewed articles (2016-2025) and 126 conference presentations demonstrate sustained output in international journals (European Journal of Physical Education and Sport Science, Annals of Applied Sport Science) and cross-disciplinary research connecting movement science with respiratory health . Key collaborations include researchers like Mehmet Vural , Zarife Pancar , and Murat Bilgiç .

Manohar N. Murthiمشاهده پروفایل

دانشیار

• Machine Learning
• Quantum Computing
• Signal Processing
• +۵ مورد دیگر

Manohar N. Murthi serves as an Associate Professor in the Department of Electrical & Computer Engineering at the University of Miami's College of Engineering. His academic profile shows active engagement across both technical engineering domains and social science research, with recent publications spanning quantum computing applications, neural network models for biomedical signal processing, and political conspiracy theories. Dr. Murthi's research interests bridge multiple disciplines, with primary focus areas including machine learning, quantum computing, signal processing, belief theory, and conspiracy theory research. His work demonstrates a unique interdisciplinary approach that connects electrical engineering methodologies with social science applications, particularly in analyzing belief systems and misinformation patterns. The breadth of his research is evident in publications ranging from technical algorithms for Dempster-Shafer belief theory to sociological studies on White Replacement theory and QAnon conspiracy beliefs. Analysis of his recent publications (2020-2024) reveals two distinct but complementary research trajectories: technical work in quantum tensor networks, graph neural networks, and belief theory frameworks; and social science applications examining conspiracy theories, political extremism, and misinformation. His technical papers often develop novel computational frameworks for uncertainty quantification and data analysis, while his social science work applies these methodologies to understand belief formation and political behavior. This dual focus creates a distinctive research profile that connects engineering rigor with social science insights. Dr. Murthi maintains active research collaborations, particularly with Kamal Premaratne, across multiple publications in both engineering and political science journals. His work has been published in venues including IEEE transactions, The Journal of Politics, and Politics, Groups and Identities, demonstrating successful cross-disciplinary scholarship. His research appears to be supported by collaborative grants, though specific funding sources aren't detailed in the available information. While specific laboratory information isn't provided in the source material, Dr. Murthi's research suggests involvement in computational laboratories focused on machine learning, signal processing, and data analysis. His work with sEMG signals for gesture recognition indicates potential connections to biomedical engineering labs, while his belief theory research suggests computational theory groups. His interdisciplinary approach likely involves collaboration across multiple research teams within and beyond the College of Engineering.

• Motor Control
• Kinesiology
• Neuroscience
• +۴ مورد دیگر

Mark Latash is a Professor in the Department of Kinesiology at Penn State University , with affiliations to the Center for Interdisciplinary Mathematics , Center for Neural Engineering , and Penn State Neuroscience Institute . His work focuses on motor control theories , neural mechanisms of movement , and biomarker development for Parkinson's disease . Active in motor synergies research using the uncontrolled manifold hypothesis Key projects include early biomarkers for Parkinson's disease funded by NIH institutes Recent research emphasizes finger force coordination , lower extremity control , and force production stability in aging and neurological populations. Collaborations span neurology , neurosurgery , and computational sciences . His scientific contributions include over 500 publications and a Scopus h-index of 76. Current projects investigate performance-stabilizing synergies in both healthy and diseased populations.

Albert Erivesمشاهده پروفایل

دانشیار

• Regulatory Genomics
• Evolutionary Genomics
• Evolution of Metazoa
• +۶ مورد دیگر

Albert Erives is an Associate Professor in the Department of Biology at the University of Iowa , specializing in regulatory genomics, evolutionary genomics, and the evolution of metazoans. His research focuses on decoding gene regulatory logic in DNA sequences, particularly during animal embryogenesis, using comparative genomics to identify regulatory modules driving phylogenetic transitions. PhD from University of California, Berkeley His work spans eukaryotic gene regulation, integrating biochemistry, molecular genetics, and computational biology to uncover principles of organismal evolution. Recent studies include viral nucleosome structure, Notch signaling pathway evolution, and enhancer organization in model organisms like Drosophila and Ciona . Notable scientific awards include the NSF CAREER Award (2012, 2010) . He actively seeks graduate students and postdoctoral researchers for his laboratory, which utilizes core facilities such as the Carver Center for Genomics.

• Sports Science
• Exercise Physiology
• Nutritional Science in Athletics
• +۱۴ مورد دیگر

Dr. Ciarán Ó Catháin is a Lecturer in the Department of Sport and Health Science within the Faculty of Science and Health. He is actively engaged in research at the intersection of sports science, exercise physiology, and nutritional health, with a strong emphasis on athlete performance and well-being. His research interests include: Sports Science and Exercise Physiology Nutritional Science in Athletics Female Athlete Health, particularly menstrual cycle and hormonal contraceptive tracking Dietary intake and culinary nutrition among athletes Resisted sprint training and performance monitoring Systematic reviews and meta-analyses in sports interventions Application of machine learning and wearable technology in sports Dr. Ó Catháin’s recent publications demonstrate a trend toward evidence synthesis (systematic reviews and meta-analyses), interdisciplinary methodologies, and a growing focus on gender-specific considerations in sports performance. His work integrates engineering concepts such as gait analysis and phase velocity with health sciences, reflecting a cross-disciplinary approach. He also explores emerging technologies like augmented reality and synthetic data generation for performance prediction. While no formal scientific awards are listed, his research has contributed to high-impact journals including Sports Medicine , Frontiers in Sports and Active Living , and Nutrition Bulletin . His h-index of 10 and 254 citations reflect a solid and growing academic influence. There is no available information regarding student supervision, grant funding, laboratory affiliations, or collaborative teams. However, his frequent co-authorship suggests active research collaboration, particularly with researchers in sports physiology and nutrition.

Alison Clune Bergمشاهده پروفایل

دانشیار

• Community Nutrition Education
• Implementation Science
• Chronic Disease Prevention
• +۶ مورد دیگر

Dr. Alison Clune Berg is an Associate Professor and Extension Nutrition and Health Specialist at the University of Georgia's College of Family and Consumer Sciences. She holds a PhD, MS, and BS in Foods and Nutrition from UGA, graduating in 2015, 2009, and 2007 respectively. Her research evaluates community nutrition education programs to prevent chronic diseases like obesity, cardiovascular disease, diabetes, and cancer, with a focus on implementing evidence-based interventions through the Cooperative Extension model. Education: PhD, MS, BS in Foods and Nutrition from University of Georgia Current Role: Associate Professor and Extension Nutrition and Health Specialist Dr. Berg specializes in chronic disease prevention through community nutrition education, implementation science, and translational research. Her work includes the National Diabetes Prevention Program (DPP) and Cancer Prevention initiatives. She bridges academic research with real-world health promotion, particularly in rural Georgia. Recent projects analyze dietary behavior change, program feasibility, and health equity in underserved populations. Her recent publications (2023-2025) span implementation science, diabetes prevention, rural community health, and adolescent nutrition education. Awards include the 2024 Chris Todd Outstanding Outreach Award, multiple 2024 Georgia Extension Association first-place awards for curriculum development, and the 2023 D.W. Brooks Excellence in Extension. She has authored or co-authored 20+ peer-reviewed articles and extension publications, including peer-reviewed guides on nutrition labels, diabetes management, and cancer prevention. Scientific honors include: 2024 Chris Todd Outstanding Outreach Award 2024 Georgia Extension Association Team Awards 2023 D.W. Brooks Excellence in Extension 2022 NEAFCS National Educational Awards 2019 Educational Curriculum Package Awards Dr. Berg collaborates with county extension agents, leads state-wide nutrition programs like Cooking for a Lifetime of Cancer Prevention, and mentors graduate students. She supervises research through courses like NUTR 7000/9000 and guest lectures on nutrition-disease relationships.

Qiushi Fuمشاهده پروفایل

دانشیار

• Neuromuscular Control
• Human-Robot Interaction
• Biomechanics
• +۵ مورد دیگر

Qiushi Fu is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida, focusing on neuromuscular control, human-robot interaction, and biomechanics. His work leverages assistive and rehabilitation technologies to improve motor function and performance. Ph.D. in Biomedical Engineering – Arizona State University M.S. in Mechanical Engineering – State University of New York at Buffalo B.S. in Automation – Tsinghua University Research interests include sensorimotor learning, bioinspired robotics, and rehabilitation prosthetics, integrating neuroscience, robotics, and machine learning. His recent publications emphasize adaptive control in dexterous manipulation, haptic communication, and wearable rehabilitation devices. Fu leads a multidisciplinary lab advancing human movement through technology, with applications in stroke recovery and prosthetic design. His work demonstrates trends in machine learning integration for neural decoding, bioinspired exoskeletons, and collaborative human-robot systems. Though no specific awards are listed, his research has been published in high-impact journals like Frontiers in Neurorobotics and Journal of Neuroscience .