جست‌وجوی استاد و پژوهشگر

Francisco Ayala Rodriguezمشاهده پروفایل

پژوهشگر

• Sports Medicine
• Biomechanics
• Injury Prevention
• +۳ مورد دیگر

Francisco Ayala Rodriguez is a Ramón y Cajal Researcher at the University of Málaga's Faculty of Sports Sciences, Department of Physical Activity and Sport. He holds a Doctorate from Universidad Católica San Antonio de Murcia, focusing on the effects of active stretching programs on hip mobility in futsal players. His work centers on injury prevention, biomechanics, and optimizing athletic performance in team sports. Research interests include neuromuscular injury risk assessment, kinematic analysis of jumping/landing mechanics, and developing evidence-based injury prevention protocols. He has contributed to systematic reviews on exercise interventions for youth athletes and pioneered machine learning approaches to predict ACL injury risks. Key contributions include studies on hamstring injury prevention, trunk stability assessments, and the efficacy of FIFA 11+ warm-up protocols. His transdisciplinary work also spans plant genetics (wheat resilience) and oncology biomarker research, showcasing his versatility in sports science and biotechnology.

Helder Filipe Oliveiraمشاهده پروفایل

استادیار

• Medical Image Analysis
• Bio-image Analysis
• Computer Vision
• +۵ مورد دیگر

Hélder Filipe Oliveira is a Senior Researcher at INESC TEC and an Invited Assistant Professor at the University of Porto's Computer Science Department. He holds a Ph.D. in Electrical and Computer Engineering from FEUP. His roles include leading the Visual Computing and Machine Intelligence Area at INESC TEC and coordinating the Data Science Hub. He has extensive experience in research projects, including leading the LuCaS and MICOS initiatives, and has supervised 6 current PhD students, 1 concluded PhD, and 56 MSc students. Education: B.Sc. (2004), M.Sc. (2008), and Ph.D. (2013) in Electrical and Computer Engineering from FEUP. Research focuses on medical image analysis, bio-image processing, computer vision, and machine learning applications in healthcare. His work includes developing AI models for TBI patient prediction and lung cancer diagnosis, with notable contributions to interpretable deep learning systems. Publications span over 80+ peer-reviewed works, 1 patent, and datasets. He actively participates in academic events, organizing the VISUM summer school and serving as a keynote speaker. Labs/Groups: Visual Computing and Machine Intelligence Area, Breast Research Group, and Centre for Telecommunications and Multimedia.

Zoran Obradovicمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Biomedical Informatics
• +۳ مورد دیگر

Zoran Obradovic is the Laura H. Carnell Professor of Data Analytics at Temple University’s Fox School of Business, holding a primary appointment in the Department of Computer and Information Sciences and a secondary appointment in Statistics. He directs the Center for Data Analytics and Biomedical Informatics. His research spans machine learning, data mining, and biomedical informatics, with applications in disaster response, healthcare analytics, energy systems, and social networks. He serves as executive editor of the Statistical Analysis and Data Mining journal and chairs the SIAM Activity Group on Data Mining and Analytics. His work includes over 300 publications (15,000+ citations, H-index 48), focusing on predictive modeling for infrastructure resilience, health outcomes, and social behavior analysis. Notable projects include weather-related outage prediction, kidney transplant social network studies, and quantum-inspired network analysis. He has led conferences like the SIAM International Conference on Data Mining and contributed to critical infrastructure analytics frameworks like the Big Data Synchrophasor Monitoring and Analytics for Resiliency Tracking (BDSMART). Research Interests Machine Learning Algorithms & Applications Predictive Analytics for Energy & Health Systems Social Network Analysis in Healthcare Disaster Response & Risk Mitigation Data Mining Methodologies Biomedical Informatics Recent Trends in Publications Recent work emphasizes hybrid models for multi-source data fusion (e.g., TriLex for sentiment analysis), spatiotemporal network approaches for outage prediction, and domain adaptation techniques for healthcare predictions. His studies bridge computational methods with real-world challenges in energy grids, emergency management, and kidney transplant decision-making within hemodialysis patient social networks. Awards Elected Member, Academia Europaea (2015) Leadership & Grants He oversees interdisciplinary research initiatives and collaborates across academia-industry partnerships. His grants fund projects on synchrophasor data analytics for power grids, AI-driven clinical decision support, and social network analysis in healthcare. While specific student advisement details aren’t listed, his work impacts graduate training through Temple’s data science programs. Labs & Teams Director of Temple’s Center for Data Analytics and Biomedical Informatics, fostering collaborations between computer science, statistics, and healthcare domains.

Christophe Bastienمشاهده پروفایل

دانشیار

• Transport Safety
• Automotive Safety
• Traumatology Modelling
• +۳ مورد دیگر

Dr. Christophe Bastien is an Associate Professor in Transport Safety at Coventry University, leading the Transport Safety and Simulation research group. With 27 years of combined industrial and academic experience, he focuses on vehicle safety, trauma modeling, and AI applications in forensic investigations. He leads the PACE-AI project, an AI-driven collision forensics tool, and the SENTINEL initiative for real-time pedestrian triage technology. Education: MSc, BEng (Hons) in Mechanical Engineering, and DUT (Genie Mecanique). His work spans 22 patents, 39 journal articles, and over 253 citations. Research interests include human safety modeling, trauma computation, and connected autonomous vehicle safety. Notable contributions: Winner of the 2021 Prince Michael International Road Safety Award for post-crash pedestrian triage innovations. Co-developed the Total Human Model for Safety (THUMS) trauma method. Leads collaborations with institutions like University Hospital Coventry and Warwickshire (UHCW) and the Air Ambulance Services (TAAS). Projects include RoaD (Reducing Road Traffic Casualties), TIC-IT (Trusted Intelligent Connected Autonomous Vehicles), and OptiPress (steel fabrication optimization). He teaches crashworthiness modeling and vehicle safety at undergraduate and industry levels. Key research outputs: Peak Virtual Power (PVP) injury prediction method, AI-based forensic tools, and trauma simulation strategies for the C-TRIP platform.

Jussi Tohkaمشاهده پروفایل

استاد

• Biomedical Image Analysis
• Machine Learning
• Neuroinformatics
• +۳ مورد دیگر

Jussi Tohka is a Professor at the University of Eastern Finland (UEF) in the Faculty of Health Sciences, affiliated with the A.I. Virtanen Institute for Molecular Sciences. His primary role is in Biomedical Image Analysis, focusing on machine learning applications in neuroimaging, signal processing, and medical data analysis. Key research interests include predictive modeling for neurodegenerative diseases, MRI harmonization, and advanced image segmentation techniques. Academic Position: Professor of Biomedical Image Analysis Affiliations: UEF Brain Research Unit, Kuopio Biomedical Image Analysis Center (KUBIAC) Projects: Neuro-Innovation, Enhancing Innovation Potential via Biomedical Image Analysis His research combines computational methods with clinical applications, addressing challenges in epilepsy biomarkers, traumatic brain injury, and Alzheimer’s disease progression. Notable contributions include developing tools for data harmonization across multisite studies and optimizing neural network architectures for medical image analysis. Publications span topics like deep learning for dendrite segmentation, predictive modeling of amyloid positivity, and MRI-based assessments of brain microstructure. His work bridges fundamental neuroscience with translational medical imaging solutions.

• Applied Mechanics
• Structural Analysis
• Fatigue Analysis
• +۶ مورد دیگر

Gordana Jovičić is a Professor at the Department for Applied Mechanics and Automatic Control, Faculty of Engineering, University of Kragujevac. Her research focuses on structural integrity, computational biomechanics, and material fatigue analysis with applications in aerospace, biomedical, and mechanical engineering. She leads projects involving AI integration for medical diagnostics and fracture mechanics of aircraft components. Her work spans finite element analysis (FEA), neural network modeling, and advanced material testing. Education details are not explicitly stated in the provided texts, but her academic career includes extensive contributions to applied mechanics and interdisciplinary research. She collaborates on projects related to coronary stent durability, dental restoration mechanics, and fracture prediction in osteoporosis treatment. Her research also extends to municipal solid waste management optimization using GIS and route-planning algorithms. Notable research themes include: Structural analysis of aircraft engine components (e.g., cylinder assemblies) Biomechanical modeling of human joints and dental systems Fatigue behavior of steel grades (S355J2+N, STRENX 700) Integration of AI for medical decision support (e.g., INTELHEART project) Numerical methods for fracture mechanics and stress analysis Her work often combines experimental validation with computational modeling, emphasizing practical applications in healthcare, aerospace, and civil engineering. She has contributed to open-source frameworks like OpenMandible for mandibular physiology simulation and collaborated on projects funded by the Ministry of Education, Science, and Technological Development of Serbia.

• Learning and Memory Formation
• Ethanol Tolerance
• Exploration and Responses to Novel Stimuli
• +۳ مورد دیگر

Gregg Roman is a Research Professor in the Department of BioMolecular Sciences at the University of Mississippi's School of Pharmacy, and holds an additional role as Research Professor in the Research Institute of Pharmaceutical Sciences. He directs the GlyCORE imaging CORE and previously co-directed the Brain-Wellness Constellation Program. Roman's career includes faculty roles at Baylor College of Medicine and the University of Houston, where he founded the Biology of Behavior Institute. His research focuses on behavioral plasticity mechanisms, particularly ethanol tolerance and exploration behaviors in Drosophila melanogaster. Education: Ph.D. in Biology from the University of Pennsylvania (1995). Research interests include learning/memory formation, ethanol tolerance, and exploration responses, utilizing genetic, physiological, and behavioral approaches in Drosophila. Key topics involve how brains adapt to alcohol exposure and the genetic basis of exploratory behavior. Recent work advances imaging technologies and machine learning applications for genotype prediction from behavior. Scientific achievements include awards such as the Dean Scholar Award for Research Excellence and the Henry and William Test Investigator recognition. His lab pioneered tools like SCAMP for circadian rhythm analysis and PySmooth for genotyping error correction. Leadership roles include directing imaging facilities and co-developing interdisciplinary programs. Ongoing projects address neuroHIV applications via nanoparticle delivery and explore genetic interactions in alcohol sensitivity.

Yvonne Golightlyمشاهده پروفایل

استاد

• Osteoarthritis
• Chronic Disease Prevention
• Epidemiology
• +۹ مورد دیگر

Yvonne Golightly, PT, MS, PhD is a Professor and Assistant Dean for Research at the University of Nebraska Medical Center (UNMC) College of Allied Health Professions. She leads collaborative research initiatives focused on chronic disease prevention, particularly osteoarthritis, obesity, and musculoskeletal conditions. Her work integrates epidemiology, biomechanics, and clinical practice to address health equity and improve patient outcomes. Educational Background: PhD in Epidemiology, University of North Carolina (2010) MS in Human Movement Science, University of North Carolina (2005) BS in Allied Health Science (Physical Therapy), Ohio State University (1998) Research Interests: Dr. Golightly investigates osteoarthritis comorbidities (e.g., cardiovascular disease, diabetes), physical activity interventions, musculoskeletal pain mechanisms, and translational genomics. Her studies leverage large cohorts like the Johnston County Osteoarthritis Project and Osteoarthritis Initiative. She explores systemic factors like microbiome diversity and epigenetic markers to uncover drivers of disease progression. Editorial Roles: Associate Editor of Osteoarthritis and Cartilage and Editorial Board Member of Arthritis Care & Research . Labs/Teams: Leads the Integrated Laboratories for Pursuing Pedal Pathologies (ILP³), focusing on foot and ankle osteoarthritis research. Collaborates with multidisciplinary teams to advance prevention strategies and precision medicine approaches.

Christina Mariyam Joyمشاهده پروفایل

استادیار

• Nephrology
• Critical Care Medicine
• Kidney Disease
• +۳ مورد دیگر

Christina Mariyam Joy, MD is an Assistant Professor at the Medical College of Wisconsin, affiliated with Froedtert Hospital. She specializes in Nephrology and Internal Medicine, focusing on kidney diseases, acute kidney injury, and critical care outcomes in critically ill patients, particularly regarding cardiovascular comorbidities and pandemic-related complications. Her work includes leading contributions to the STOP-COVID cohort studies analyzing mortality and kidney recovery in COVID-19 patients. Education: MBBS from Medical College Hospital, Trivandrum (2012); Internal Medicine residency and fellowship in Nephrology at St. Joseph's University Medical Center and Barnes-Jewish Hospital/Washington University. Research interests span nephrology pathophysiology, critical care nephrology, and translational research on kidney diseases. Over 15 peer-reviewed publications address topics like glomerulonephritis, checkpoint inhibitor toxicity, and pandemic-related critical illness outcomes. Collaborations with STOP-COVID Investigators highlight her role in large-scale clinical cohort studies. Prof. Joy is board-certified in Internal Medicine and Nephrology. She provides clinical care in dialysis, onco-nephrology, and management of acid-base/electrolyte disorders. Her work emphasizes improving outcomes for patients with acute kidney injury and understanding sociodemographic disparities in critical care settings.

Maryam Karimiمشاهده پروفایل

دانشیار

• Environmental Health
• Urban Resiliency
• Public Health
• +۴ مورد دیگر

Maryam Karimi, PhD, MPA, MS, is the Director of Research and an Associate Professor at the University of Memphis School of Public Health. Previously, she held roles as an Assistant Professor at the University of Alabama at Birmingham (UAB), including a joint appointment in the School of Civil, Construction, and Environmental Engineering. She also served as Associate Director of Public Health and Environmental Sustainability at UAB’s Sustainable Smart Cities Research Center. Dr. Karimi’s expertise bridges environmental science, public health, and urban resilience, with a focus on mitigating urban environmental challenges like air quality, urban heat islands, and flooding. Her research is supported by NIH, EPA, USDA, NSF, NASA, and NOAA. Education highlights include a PhD and MS in Earth and Environmental Science from the City University of New York (CUNY), a Postdoctoral Fellowship at Columbia University’s Mailman School of Public Health, and an MPA from Baruch College (CUNY). Her work emphasizes innovative solutions such as CanAiry, a wearable device for respiratory health monitoring, and leverages big data and predictive modeling to design resilient cities. Key research interests include urban resiliency, climate adaptation, and health equity, with a focus on underserved communities. Her publications explore geospatial analysis of environmental health risks, flood modeling, and urban heat mitigation strategies. Dr. Karimi collaborates across disciplines to advance sustainable urban policies and infrastructure. Advising and grants: She mentors students in environmental health and urban resilience, supported by major grants. Her interdisciplinary approach integrates engineering, public health, and environmental science to address complex urban challenges. Labs and teams: Leads projects at the Sustainable Smart Cities Research Center, focusing on CanAiry development and urban climate resilience initiatives.

• Project Analytics
• Big Data Analytics
• Artificial Intelligence
• +۴ مورد دیگر

Hakeem Owolabi serves as an Associate Professor in Project Analytics and Digital Enterprise within the Faculty of Business and Law at the University of the West of England (UWE Bristol). With over 13 years of industry and research experience, he holds memberships with professional associations including APM (Association for Project Management) and IPMA (International Project Management Association). Owolabi's research combines project analytics with digital innovation, leveraging technologies like Big Data Analytics, AI, Machine Learning, Blockchain, and IoT. His expertise spans: Project Analytics/Strategic Project Management, International Project Finance (PFI/PPP), Technology Management & Ethics in AI, Sustainable Innovation, Net-Zero Solutions, Circular Economy, and Agricultural Technology applications. Analysis of his publications reveals three primary research streams: (1) Data-driven project management and analytics (8 papers), (2) Sustainable construction and circular economy (4 papers), and (3) AI applications in infrastructure and agriculture (3 papers). His work emphasizes practical applications in construction safety, energy efficiency, and agricultural technology. Owolabi has collaborated with organizations including Innovate UK, the Department of Business Innovation & Skills, and EPSRC (Engineering and Physical Sciences Research Council).

• Nephrology
• Kidney Transplantation
• Bioinformatics
• +۶ مورد دیگر

Sophie Limou is a Professor at École Centrale de Nantes and Head of the BIOLO teaching program and OD BioSTIC-Santé. She leads the iTHINK team (Integrative Transplantation, HLA, Immunology and geNomics of Kidney injury) at the CR2TI Inserm UMR1064 research center. Her work bridges bioinformatics, nephrology, and immunogenetics to address challenges in transplantation medicine and precision healthcare. Education: Cell Biology Molecular Biology Medical Genetics and Genomics Bioinformatics Biostatistics and R Programming Physiology/Health Research Focus: Limou’s research spans kidney transplantation outcomes, polygenic risk scores, HIV epidemiology, and genomic big data integration. Key areas include: HLA typing innovations Genetic determinants of chronic kidney disease Immunogenetic compatibility analysis Public health applications of precision medicine Her work emphasizes translational research, leveraging computational tools for clinical decision-making. Laboratory Leadership: The iTHINK team develops integrative approaches to kidney injury mechanisms, combining genomic data with clinical outcomes. Projects include the KiT-GENIE biobank and HLA imputation methodologies. Collaborations: Limou collaborates on global initiatives like the SARS-CoV-2 host genetics project, SHLARC (HLA reference consortium), and PRIMUS precision medicine platform.

• Molecular Pharmacology
• Pharmacogenomics
• Cardiovascular Research
• +۳ مورد دیگر

Dr. Eleftheria Galatou is an Assistant Professor at the University of Nicosia , affiliated with the School of Life and Health Sciences and the Department of Health Sciences . She holds a PhD in Molecular Physiology and Pharmacology from Aristotle University of Thessaloniki. Her research focuses on molecular mechanisms in drug delivery, pharmacogenomics, cardiovascular precision medicine, and the role of PPAR receptors in heart failure. Education : Bachelor’s degrees in Biology and Pharmacy (Aristotle University of Thessaloniki) Master’s in Applied Genetics and Biotechnology (2009) PhD in Molecular Physiology and Pharmacology (2014) Research Interests : Cardiovascular Disease Mechanisms : Investigating PPARs’ role in heart failure and ischemia-reperfusion injury. Drug Delivery Innovations : Chitosan nanoparticles, peptide-based systems, and nanovesicles. Pharmacogenomics : Leveraging miRNA networks and systems pharmacology for precision medicine in diabetes and cancer. Biochemical Techniques : Expertise in PCR, flow cytometry, and in vivo/in vitro models. Recent Research Trends : Her work spans from synthetic peptides for tissue rejuvenation to AI-driven drug discovery. She explores how PPARβ/δ activation mitigates cardiac dysfunction and advances drug delivery systems for localized therapies. Teaching & Supervision : Lecturer in Molecular Pharmacology, Pharmacogenomics, and Clinical Pharmacy since 2016. Supervised student theses on molecular biology and physiology techniques at Aristotle University. Labs & Collaborations : Her research uses experimental models like diabetic rats and transgenic mice, emphasizing translational studies in drug efficacy and mechanisms.

• Sports Science
• Training Load Monitoring
• Psychosocial Stress in Athletes
• +۶ مورد دیگر

Ruby Otter-Drost is a Lecturer-researcher in Sports Science at the Hanze University of Applied Sciences, specializing in Sports Education & Youth Sports. She is affiliated with the Healthy Lifestyle, Sports and Physical Activity Centre of Expertise Healthy Ageing, where her research focuses on the intersection of sports performance, stress management, and healthy lifestyle interventions. Her primary research interests revolve around training load monitoring, psychosocial stress in athletes, perceived recovery mechanisms, and coaching science. Dr. Otter-Drost's work particularly examines how stress and recovery dynamics impact endurance performance, with significant focus on speed skating as a model sport. Her research integrates data-driven approaches to understand the complex relationship between internal and external training loads. Analysis of her recent publications reveals a strong trend toward practical applications of sports science research, with emphasis on cooperative design of coaching tools, specificity of training methods, and citizen science approaches to student well-being. Her work bridges theoretical sports science with practical implementation in athletic training environments. Scientific recognition includes: Best paper award (23 Mar 2018) with colleagues Dijkhuis, T., Velthuijsen, H., and Lemmink, K. Dr. Otter-Drost serves as a peer reviewer for prestigious journals including the International Journal of Sports Physiology and Performance, International Journal of Sports Science & Coaching, and The American Journal of Sports Medicine. Her collaborative research projects include 'Belasting en belastbaarheid van (top)sporters' (2018), 'Coach in Control' (2020-2022), and 'Trainingsbelasting van schaatsers' (2018-2019), demonstrating strong industry-academia partnerships focused on practical sports performance solutions. Her research group employs a multi-disciplinary approach combining sports physiology, psychology, and technology to develop innovative monitoring systems and coaching interventions, with particular emphasis on the speed skating community and youth sports development.

Visar Berishaمشاهده پروفایل

استاد

• Speech and Audio AI
• Healthcare AI
• Machine Learning
• +۳ مورد دیگر

Visar Berisha is a Professor and Associate Dean of Research and Commercialization in the Fulton Schools of Engineering at Arizona State University (ASU), with a joint appointment in the College of Health Solutions. His work bridges engineering and healthcare, focusing on AI-driven analysis of speech and behavior to improve patient outcomes. He leads interdisciplinary research in digital medicine, machine learning, and signal processing. Education: Ph.D. in Electrical Engineering from Arizona State University (2007). Research Interests: Speech and audio AI, healthcare AI, statistical signal processing, and clinical applications. His team develops FDA-registered tools for tracking neurological disorders (e.g., ALS, Parkinson’s) and post-traumatic conditions through speech analysis. Recent Trends in Articles: Focus on clinical speech analytics, predictive modeling for neurological disorders, and machine learning robustness. Key topics include dysarthria progression, migraine classification, and automated semantic relevance for cognitive decline. Awards: 2023-2024 ISCA Distinguished Lecturer Winner of FTC Voice Cloning Challenge (OriginStory) Grants & Partnerships: Funding from NIH, NSF, and industry collaborations. Labs & Teams: Directs research on speech-based biomarkers, clinical AI validation, and neuroimaging analysis. Current students include Vikram C.M., Lingfeng Xu, and others. Alumni hold roles at universities, research institutions, and tech companies.