جست‌وجوی استاد و پژوهشگر

David Brownمشاهده پروفایل

استاد

• Accessibility
• Virtual Reality
• Multimodal Affect Recognition
• +۵ مورد دیگر

David Brown is a Professor in Interactive Systems for Social Inclusion at Nottingham Trent University's School of Science & Technology, Department of Computer Science. He serves as Director of the Computing and Informatics Research Centre (CIRC) and Research Group Leader for the Interactive Systems Research Group (ISRG). Director, Computing and Informatics Research Centre Research Group Leader, Interactive Systems Research Group Governor, Oak Field School for students with severe learning disabilities Conference Chair, International Conference on Disability, Virtual Reality and Associated Technology (ICDVRAT21) Associate Editor, Frontiers: Virtual Reality in Medicine Professor Brown's research focuses on developing inclusive technologies for people with disabilities. His work spans accessibility for students with learning, physical and sensory impairments; virtual reality applications for rehabilitation; multimodal affect recognition systems; social robotics for education; accessible visual programming toolkits; and serious games for developing physical and cognitive skills. His research is characterized by strong interdisciplinary collaboration and practical application in educational and healthcare settings. His recent publications demonstrate a consistent focus on applying emerging technologies like virtual reality, machine learning, and social robotics to address real-world challenges in accessibility and inclusion. The research shows a clear trajectory toward increasingly sophisticated multimodal systems that can detect user states and adapt accordingly, with applications ranging from autism support to mental health interventions. Extensive EU-funded research projects including Horizon 2020, Erasmus+, and EPSRC grants Notable projects: DIVERSIA, MaTHiSiS, Pathway, AI-TOP, EDUROB, No One Left Behind, Real Life, RISE Professor Brown has supervised numerous PhD students and collaborates extensively with international partners across Europe and Asia. His work bridges computer science, psychology, education, and healthcare to create technologies that promote social inclusion and improve quality of life for people with disabilities.

Judith Andersenمشاهده پروفایل

دانشیار

• Stress Psychology
• Health Psychology
• Police Training
• +۴ مورد دیگر

Judith Andersen is an Associate Professor at the University of Toronto Mississauga, specializing in health psychology with a focus on the psychophysiology of stress and its impact on mental and physical health in high-stress occupations. Her research emphasizes evidence-based training programs for police and special forces, resilience development for first responders, and mental health disparities among LGBTQ+ communities. She holds a PhD from the University of California, Irvine. Her work includes designing stress-regulation interventions to enhance police decision-making during critical incidents and developing competency frameworks for incident commanders. Recent projects involve applying biofeedback technology (e.g., HRV monitoring) to improve officer performance and wellness. She collaborates internationally with law enforcement agencies in Canada, the U.S., and Europe. Key research domains include: Psychophysiological stress responses and their modulation Resilience training for first responders Mental health disparities in marginalized groups Evidence-based policing strategies Her publications from 2024–2025 explore topics like stress physiology in policing, competency development for crisis leaders, and the role of social support in reducing LGBTQ+ mental health disparities. Ongoing projects focus on reducing racial bias in policing and optimizing training through big data analytics. While no formal advisees are listed, her research teams engage in translational studies impacting policy and practice. She advocates for applied psychological research to bridge academic and real-world challenges in public safety and health.

• Biomedical Engineering
• Fetal Monitoring
• Signal Processing
• +۳ مورد دیگر

Judith OEH van Laar is an Assistant Professor in the Signal Processing Systems group at Eindhoven University of Technology (TU/e) and a gynecologist at Máxima Medical Center. Her research focuses on technological advancements for maternal and fetal health, including fetal monitoring systems and congenital defect detection. She holds a Master's in Medicine from Radboud University (2004) and a PhD from TU/e (2012) on fetal autonomic responses during pregnancy. She completed gynecology specialization at Máxima Medical Center (2014). Research interests include fetal electrocardiography, heart rate variability, and cardiotocogram analysis. She leads projects like HASTA (Healthy Ageing Starts with a HealThy stArt) and contributes to MEDEIA (MEDical Engineering Innovations and Applications). Recent work involves AI-driven fetal health assessment and maternal physiological monitoring. Key collaborations span biomedical engineering and clinical medicine.

• Anesthesiology
• Neurosciences
• Neuroinflammation
• +۵ مورد دیگر

Lars I Eriksson is a Professor and head of the section of Anesthesiology and Intensive Care at the Department of Physiology and Pharmacology, Karolinska Institutet. His research focuses on the neuroinflammatory and cognitive consequences of surgical trauma and critical illness, with particular emphasis on mechanisms linking systemic inflammation to long-term brain dysfunction. He leads the research group "The brain after surgery and trauma - neuroinflammation, cognitive impairment and dementia" , which investigates postoperative neurocognitive decline, dementia risk, and immune-brain interactions. Key funding sources include the Swedish Research Council (VR Medicine), The Brain Foundation, and the Alzheimer Foundation. Research Interests : Neuroinflammation following surgery/trauma Cognitive decline mechanisms in postoperative patients Immune-brain communication in critical illness Pharmacological prevention of postoperative dementia Clinical translation of experimental immunology findings Recent Work Trends focus on: Immune profiling in critical care survivors (e.g., NeuroCOVID studies) Biomarker development for cognitive outcomes Extracellular vesicle roles in postoperative brain injury Grants & Collaborations**: Active projects include: VR Medicine grant exploring surgery-induced neuroinflammation ALF Region Stockholm funding for translational studies European Society for Anesthesiology support for clinical trials Labs/Teams**: Directly supervises a multidisciplinary team including research engineers (Anette Ebberyd) and senior specialists (e.g., Marta Gómez Galán, Souren Mkrtchian). Collaborates extensively across departments at Karolinska Institutet and internationally.

Chi-Chun Leeمشاهده پروفایل

استاد

• Speech and Language Processing
• Affective Computing
• Health Analytics
• +۳ مورد دیگر

Chi-Chun Lee (Jeremy) is a Professor and Associate Chair in the Department of Electrical Engineering at National Tsing Hua University (NTHU), Taiwan. He also serves as Director of the NVIDIA-NTHU Joint Innovation Center and leads the Behavioral Informatics & Interaction Computation (BIIC) Lab. His academic journey includes a B.S. (magna cum laude) and Ph.D. in Electrical Engineering from the University of Southern California (USC), USA (2007 and 2012), followed by roles as a data scientist at id:a lab and technical consultant for companies like E.Sun Bank and Allianz Taiwan. Research focuses on speech processing, affective computing, health analytics, and behavior signal processing. He is an IEEE Senior Member and holds editorial roles in top journals such as IEEE Transactions on Affective Computing and Multimedia. Key contributions include leading teams to international competitions (e.g., 1st place in INTERSPEECH 2009 Emotion Challenge) and developing AI frameworks for clinical applications like respiratory sound classification and tumor image synthesis. Recipient of prestigious awards including the NTHU-Novatek Distinguished Talent Chair (2024), National Science and Technology Council Outstanding Research Award (2023), and multiple best paper awards. His work bridges academia and industry, with collaborations extending to NVIDIA and startups like AHEAD Medicine. Research has been featured in major media outlets including Scientific American and Discovery.

YiYuan Tangمشاهده پروفایل

استاد

• Health Neuroscience
• Science of Behavior Change
• Brain/Mind-Body Interaction
• +۱۳ مورد دیگر

Dr. Yi-Yuan Tang is a Professor at Arizona State University’s College of Health Solutions and Director of the Health Neuroscience Collaboratory . He is also a Presence Fellow at Stanford University’s Center for Advanced Study in the Behavioral Sciences. Top 2% Most Cited Scientist Author of >360 peer-reviewed articles Editorial roles in SCAN, Frontiers in Neuroimaging, PloS One Research Focus: Health neuroscience integrating neuroimaging , physiological monitoring , and interventional methods to study self-control, emotion regulation, and brain-body interactions. Key projects include NIH-funded studies on polysubstance use reduction and effortless attention control . Scientific Achievements: NIH Cutting-Edge Basic Research Award NIH Phased Innovation Award American Congress of Rehabilitation Medicine Award Stanford Presence Fellow Mentoring: Supervised >70 graduate students/postdocs across psychology, neuroscience, health sciences, and data science. Serves on federal grant panels for NIH, DoD, NASA, and NSF.

• Ion Channels
• Cardiovascular Physiology
• Endo-Lysosomal Trafficking
• +۴ مورد دیگر

Christian Wahl-Schott is a Professor at the Ludwig Maximilian University of Munich , leading the Cardiovascular Physiology and Pathophysiology group at the Biomedical Center Munich. His research spans ion channel mechanisms in cardiac, neurological, and metabolic diseases. Focus on HCN channels in cardiac pacemaking and autonomic regulation Endo-lysosomal ion channels in cholesterol homeostasis and viral pathogenesis Neural rhythms and epilepsy mechanisms Developed endo-lysosomal patch clamp and high-speed optical mapping Recent work explores the role of TPC2 and TRPML channels in Ebola virus entry and cardiac arrhythmia . Funded by the DFG and CRC 870 , his lab combines electrophysiology , optogenetics , and human organoid models . Key publications include: 2024: HCN4 channel regulation in sinoatrial node 2023: E-selectin and neutrophil inflammasome activation 2021: Heart-forming organoids for developmental studies 2020: cAMP-dependent pacemaker entrainment 2015: TPC channels as Ebola drug targets The lab maintains collaborations with institutions like the German Research Foundation and DZHK , and has developed Nature Protocols -cited methodologies in FRET microscopy and endo-lysosomal patch clamping .

• 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.

Tuukka Ruotsaloمشاهده پروفایل

دانشیار

• Brain-Computer Interfaces
• Human-Information Interaction
• Recommender Systems
• +۴ مورد دیگر

Tuukka Ruotsalo serves as Associate Professor in the Machine Learning Section at the Department of Computer Science, University of Copenhagen. His research bridges human cognition with computational systems through brain-computer interfaces and physiological computing. As Academy Research Fellow at University of Helsinki (2019-2024), he maintained dual institutional affiliations while leading cutting-edge work in neuro-linguistic modeling and affective relevance. His research focuses on brain-computer interfaces for information retrieval , where he pioneers methods to decode cognitive states from neural signals to improve search systems. Key areas include affective relevance modeling that integrates emotional states into search algorithms, and neuro-linguistic reconstruction that translates brain activity into language. His work on fairness-relevance tradeoffs in recommender systems established Pareto frontier evaluation frameworks now widely adopted in ethical AI research. Recent publications demonstrate how physiological signals like EEG and galvanic skin response can create more adaptive human-information interaction systems. Ruotsalo's scientific recognition includes the prestigious Academy Research Fellow position. His publications in IEEE Transactions on Human-Machine Systems , Journal of the Association for Information Science and Technology , and Communications Biology reveal growing interdisciplinary impact. His advising spans cognitive neuroscience and machine learning students, with notable collaborations across the SCIENCE AI Centre. Current projects include the TreeSense initiative for remote sensing of global tree resources and development of quantum-inspired neural architectures. His lab leverages the department's powerful compute cluster for large-scale physiological data analysis.

C. Brooks Mobleyمشاهده پروفایل

استادیار بالینی

• Skeletal Muscle Physiology
• Molecular Mechanisms of Exercise Training
• Sports Supplements
• +۳ مورد دیگر

Dr. C. Brooks Mobley is an Assistant Clinical Professor at the School of Kinesiology, Auburn University. He directs the TigerFit Health & Fitness Laboratory and serves as Associate Director of the Nutrabolt Applied and Molecular Physiology Lab. With a Ph.D. in Kinesiology from Auburn University and postdoctoral training at the University of Kentucky, he specializes in skeletal muscle physiology and sports nutrition research. B.S. in Animal & Dairy Sciences (Auburn University) M.Ed. in Exercise Physiology (Auburn University) Ph.D. in Kinesiology (Auburn University) Postdoctoral Fellowship at University of Kentucky's College of Medicine His research explores molecular mechanisms of muscle plasticity, focusing on: Cellular adaptations to exercise training Ergogenic effects of sports supplements Muscle atrophy prevention strategies Mechanisms of skeletal muscle hypertrophy Angiogenesis in recovery scenarios Muscle-bone interaction dynamics Recent publications demonstrate expertise in: Mitochondrial adaptations to resistance training Epigenetic regulation of muscle growth Microbiome-exercise interactions Proteomic responses to disuse atrophy Firefighting occupational physiology Supplement efficacy studies Laboratory Leadership: TigerFit Health & Fitness Laboratory Nutrabolt Applied and Molecular Physiology Lab

• Psychology
• Cognitive Neuroscience
• Sleep Studies
• +۵ مورد دیگر

Nicola Cellini is an Associate Professor at the Department of General Psychology of the University of Padova. His research focuses on cognitive neuroscience, sleep science, and psychological mechanisms underlying memory, emotion, and decision-making. He has conducted extensive studies on sleep deprivation effects, emotional memory consolidation, and the application of wearable health technology for sleep monitoring. His work bridges clinical psychology, neurophysiology, and behavioral science, often involving interdisciplinary collaborations. Key research areas include: Neurophysiological correlates of time perception Cognitive and emotional consequences of sleep fragmentation Role of REM sleep in emotional processing Technology validation for sleep tracking (e.g., Xiaomi Mi Band 5) Psychosocial factors in pandemic mental health (e.g., time perspective theory) His recent publications highlight trends in: Clinical applications of rTMS for addiction treatment Impact of biophilic environments on psychophysiological recovery Interplay between sleep quality and false memory formation Age-related differences in sleep patterns during pandemics Notable contributions include methodological advancements in sleep monitoring technology validation and cross-cultural analyses of psychological resilience during the COVID-19 pandemic.

Paweł Pilarczykمشاهده پروفایل

دانشیار

• dynamical systems
• computational topology
• rigorous numerics
• +۲ مورد دیگر

Paweł Pilarczyk is an Associate Professor at the Institute of Applied Mathematics within the Faculty of Applied Physics and Mathematics at Gdańsk University of Technology, where he has been employed since 2018. His research spans multiple mathematical disciplines with applications across various scientific fields. Dr. Pilarczyk's research interests include dynamical systems , computational topology , rigorous numerics , and applications of advanced computational techniques . His work bridges theoretical mathematics with practical applications in neuroscience, cardiology, ecology, and epidemiology. Analyzing his publication record from 2025 back to 2007 reveals a consistent focus on rigorous mathematical approaches to understanding complex systems. His recent work shows increasing interdisciplinary applications, particularly in medical diagnostics (sleep apnea detection, heart rate variability analysis) and neuroscience (neuron modeling), while maintaining strong foundations in pure dynamical systems theory. As project manager for the OPUS-funded "Topological and numerical methods in dynamical systems" (since 2022), he leads significant research initiatives at the Department of Differential Equations and Mathematical Applications. Dr. Pilarczyk maintains an active research program with collaborators across multiple institutions, evidenced by his extensive publication record and research data sets available through Gdańsk Tech's Bridge of Knowledge platform.

Ghyslain Gagnonمشاهده پروفایل

استاد

• Radiofrequency circuits and antennas
• Microelectronics
• Wireless communications
• +۴ مورد دیگر

Ghyslain Gagnon is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada. He leads research activities within the LACIME – Communications and Microelectronic Integration Laboratory, focusing on cutting-edge developments in microelectronics, sensors, and communication systems. His work bridges theoretical research and practical applications across multiple domains including health technologies, wireless communications, and quantum engineering. Education: B.Ing. from École de technologie supérieure M.Ing. from École de technologie supérieure Ph.D. from Université de Carleton Professor Gagnon's research spans several interconnected domains with emphasis on Radiofrequency circuits and antennas, Microelectronics, Wireless communications, Sensors and monitoring systems, Machine learning applications, Health technologies, and Quantum engineering. His work demonstrates a strong commitment to translating theoretical concepts into practical solutions with real-world impact, particularly in the areas of health monitoring systems and advanced communication technologies. His recent publications reveal a clear trajectory toward increasingly interdisciplinary research, combining traditional electrical engineering with machine learning, health monitoring, and quantum technologies. The trend shows growing emphasis on practical applications in automotive safety systems, wireless communications for next-generation networks, and health monitoring technologies that leverage flexible electronics and novel sensor designs. Professor Gagnon has successfully supervised numerous graduate students through their doctoral and master's research, with recent theses focusing on smart hearing protection devices, machine learning applications, energy monitoring systems, and flexible sensor technologies. His supervision record demonstrates consistent productivity and relevance to contemporary engineering challenges. He is an active member of the LACIME research laboratory, which focuses on six key areas: Functional materials, Micro- and nanofabrication processes, Conception and design of integrated circuits, Design and fabrication of hybrid components, Photonic and electronic microsystems, and Signal processing and communication. This environment provides students with access to cutting-edge tools and fosters innovation through interdisciplinary collaboration.

Delphine Périé-Curnierمشاهده پروفایل

استاد

• Biomedical Technology
• Biomechanics
• Solid Mechanics
• +۶ مورد دیگر

Delphine Périé-Curnier is a Full Professor in the Department of Mechanical Engineering at Polytechnique Montréal and Director of Graduate Studies. Her research focuses on developing quantitative MRI techniques for non-invasive characterization of living tissue mechanical properties, particularly in cardiotoxicity detection and musculoskeletal mechanobiology . She leads the Bioperformance Analysis and Innovation Laboratory (LIAB) and contributes to the Institute of Biomedical Engineering. Education: Ph.D. from Paul Sabatier University, Toulouse, France Her work bridges medical imaging , biomechanical modeling , and finite element analysis to predict disease progression through pathomechanism understanding. Key projects include exercise-induced cardiac changes in childhood cancer survivors and spinal biomechanics in scoliosis. Recent publications (2023-2024) emphasize cardiovascular MRI for childhood cancer survivorship and hemodynamic modeling in left ventricle analysis. She supervises 26 graduate students, with completed theses spanning topics like doxorubicin cardiotoxicity , knee replacement stability , and spatial cardiac MRI protocols . Teaching includes graduate courses in biomedical design , advanced biomechanics , and modeling techniques .

Chris Fiacconiمشاهده پروفایل

استادیار

• Cognitive Psychology
• Human Memory
• Metacognition
• +۳ مورد دیگر

Chris Fiacconi is an Assistant Professor in the Department of Psychology at the University of Guelph. His research focuses on human memory and metacognition, particularly how inferential processes guide the monitoring, assessment, and regulation of learning. He teaches courses such as PSYC 2650 (Cognitive Psychology), PSYC 3290 (Conducting Statistical Analyses in Psychology), and PSYC 6940 (Discrete Variable Research Design & Statistics). Education: B.Sc. Psychology (University of Western Ontario, 2007) Ph.D. Psychology (McMaster University, 2012) His work integrates behavioral testing and psychophysiological measures (e.g., heart rate variability, facial electromyography) to explore the interplay between cognition and autonomic nervous system activity. Recent publications highlight his interests in fluency effects, sequential memory dependencies, and self-regulated learning strategies. Dr. Fiacconi's lab, the Guelph Memory and Cognition Lab, actively trains graduate students and collaborates on projects related to memory encoding, metamemory, and educational interventions. Funding from NSERC supports his research into the coupling of volitional control processes with autonomic activity.