جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۷۲۱-۷۳۵ از ۱۲٬۷۳۱ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Keith Stokesمشاهده پروفایل

استاد

University of BathUnited Kingdom

Keith Stokes is a Professor at the University of Bath's Department for Health, specializing in injury prevention in sports and frailty mitigation in older adults. He joined the university in 2002 and has secured over £5 million in external funding from organizations like the Rugby Football Union and World Rugby. His research focuses on: Biomechanical analysis of sports injuries Development of safety protocols for contact sports Physiological interventions for aging populations Global policy impact on sports regulations Stokes has supervised 26 PhD students to completion and serves on editorial boards for the Journal of Sports Sciences . His inaugural lecture addressed rugby safety science leading to global rule changes. Awards & Honors: Fellow status in two professional associations 2013 Knowledge Exchange Award He directs multiple surveillance projects including the Community Rugby Injury Surveillance Project and leads collaborations with sports governing bodies worldwide.

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Andreas Focksمشاهده پروفایل

استاد

University of OsnabrückGermany

Prof. Dr. Andreas Focks is a Professor of Environmental Systems Modelling and serves as the Director of the Research Center for Environmental Systems Research at the University of Osnabrück. He is affiliated with the Institute for Environmental Systems Research, where he leads research in environmental modeling and risk assessment of chemicals. His work spans multiple research groups focused on understanding complex interactions between environmental stressors and ecological systems. Dr. Focks' research focuses on the development and application of mechanistic effect models for risk assessment of chemicals and other environmental stressors. His primary areas of expertise include: Toxicokinetic-toxicodynamic (TKTD) models Equation-based or individual-based (IBM) population models Mathematical models to describe environmental behavior of chemicals Risk assessment frameworks for pesticides and other environmental stressors Chemical fate modeling in aquatic and terrestrial ecosystems His extensive publication record demonstrates a strong focus on improving environmental risk assessment methodologies through advanced modeling techniques. His recent work emphasizes the importance of temperature effects on toxicokinetics, development of more accurate prediction models for chemical impacts, and integration of multiple stressors in environmental risk assessment. Dr. Focks has made significant contributions to mechanistic effect modeling, particularly in pesticide risk assessment for both aquatic and terrestrial ecosystems. Dr. Focks has been actively involved in numerous European research initiatives aimed at advancing environmental risk assessment methodologies. His work has contributed to important policy discussions regarding chemical regulation and environmental protection in Europe, including collaborations with the European Food Safety Authority (EFSA) on Toxicokinetic/Toxicodynamic effect models for regulatory risk assessment.

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Raymond H. Cuijpersمشاهده پروفایل

دانشیار

Eindhoven University of TechnologyNetherlands

Raymond H. Cuijpers is an Associate Professor at Eindhoven University of Technology in the Human Technology Interaction group. His research focuses on Cognitive Robotics , Human-Robot Interaction , and Artificial Intelligence for cognitive agents, with applications in healthcare robotics and aging population support. PhD in Physics of Man from Utrecht University (2000) Postdoctoral research at Erasmus MC Rotterdam and Radboud University Nijmegen Key research areas include: Developing socially intelligent robots with proper social cue interpretation Hybrid AI approaches for real-world complexity handling Visual-haptic perception integration in human motor control Service robots for COPD patient assistance (KSERA project) Rescue robotics and tele-operation applications Recent research output (2025) includes studies on: Personalization in human-robot communication Optimal lighting for elderly visual perception Human-robot bonding mechanisms Interactive sensorized platforms for homecare (GUARDIAN) Audiovisual temporal integration in virtual environments He coordinates large-scale European projects like GUARDIAN and previously KSERA, contributes to sustainable development goals through healthcare robotics, and serves on editorial boards of leading journals including International Journal of Social Robotics . His work spans both technical robotics development and human-centric interaction studies.

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Minoru Koyamaمشاهده پروفایل

استادیار

University of TorontoCanada

Minoru Koyama is an Assistant Professor in the Department of Cell & Systems Biology at the University of Toronto Scarborough (UTSC). His research focuses on understanding the neural circuit mechanisms underlying behavioral development, particularly in zebrafish models. He employs advanced techniques such as optogenetics, voltage imaging, and CRISPR-based methods to study circuit maturation in the hindbrain and spinal cord. Education: Koyama holds a Ph.D. (2006), M.Sc. (2002), and B.Sc. (2000) in Biological Sciences from the University of Tokyo. Research Interests: His work investigates how neural circuits mature post-birth and contribute to complex behaviors, with applications to developmental brain disorders. His lab uses zebrafish as a model system, combining optics, genetics, and machine learning for behavioral analysis. Key projects include studying motor coordination development and refining imaging techniques like multi-plane microscopy and voltage indicators. Publications Highlight: Koyama’s recent work includes innovations in microscopy (e.g., HiLo speckle illumination) and genetic tools (e.g., TEMPO lineage tracing). These advancements enable precise observation of neural circuits and cellular dynamics. Lab & Recruitment: The Koyama Lab actively recruits graduate students and postdoctoral researchers. No specific grants are detailed, but his work reflects broad interdisciplinary collaborations in neuroscience and biotechnology. Labs/Teams: His lab focuses on developmental neurobiology, leveraging cutting-edge imaging and genetic engineering to explore neural circuit function across vertebrate development.

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Molly Cummingsمشاهده پروفایل

استاد

University of Texas at AustinUnited States

Molly Cummings is a Professor in the Department of Integrative Biology at the University of Texas at Austin, affiliated with the College of Liberal Arts and the Center for Perceptual Systems. She holds a Ph.D. from the University of California, Santa Barbara. Her research focuses on the evolution of animal communication systems, visual ecology, and sensory-driven diversification in lower vertebrates, particularly poeciliids and poison frogs. Research interests include understanding how environmental constraints shape visual signaling, sensory biases, and mate choice mechanisms. Techniques employed involve field measurements of light environments, electrophysiological recordings, computational modeling, and neuro-ethological experiments. Current projects explore species-level divergence in visual processing and neural pathways influencing decision-making. Key themes include the interplay between natural/sexual selection and communication signal evolution, crypsis mechanisms, and the cognitive basis of sexual conflict. Recent work examines plasticity in stress responses, cognitive-behavioral profiles, and the genomic underpinnings of preference behavior in fish. Collaborative projects involve polarization vision in marine organisms and the ecological consequences of anthropogenic light pollution. Her lab advises graduate and undergraduate students in experimental design and fieldwork, with a focus on integrative approaches bridging ecology, neurobiology, and evolutionary biology. Cummings has contributed to over 100 peer-reviewed articles since 2006, emphasizing mechanistic insights into sensory ecology and organismal adaptation.

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Hilary Ann Collerمشاهده پروفایل

استاد

University of California, Los AngelesUnited States

Hilary Ann Coller is a Professor at the University of California, Los Angeles (UCLA), jointly appointed in the Department of Molecular, Cell and Developmental Biology and the Department of Biological Chemistry within the College of Letters and Science. She leads a research laboratory focusing on cellular quiescence, metabolism, and their implications in cancer and disease progression. Her research integrates molecular biology, epigenetics, and systems approaches to study: Transcriptional and epigenetic control of quiescence Metabolic adaptations in tumor microenvironments RNA biology and gene regulation networks Development of biomedical technologies (e.g., biosensors) Recent publications (2022–2025) highlight trends in: Cellular quiescence mechanisms and transcription factor dynamics Cancer epigenetics and metabolic reprogramming Innovative tools for metabolomics and drug monitoring Educational research on remote STEM training programs She directs multiple NIH-funded projects, including R01CA221296 (stromal autophagy in melanoma) and R01GM086465 (microRNA mechanisms). Her lab mentors graduate students and postdocs, and she co-leads UCLA’s Bruins-in-Genomics summer initiative for undergraduate computational biology training.

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Marc Rousselمشاهده پروفایل

استاد

University of LethbridgeCanada

Marc Roussel is a Professor in the Department of Chemistry and Biochemistry at the University of Lethbridge, affiliated with the Alberta RNA Research and Training Institute. His research focuses on mathematical modeling of biochemical systems, enzyme kinetics, and systems biology. He has authored multiple books, including Foundations of Chemical Kinetics and A Life Scientist's Guide to Physical Chemistry . His work bridges mathematics and biology, emphasizing dynamical systems, delay differential equations, and model reduction techniques. He has received the 2024 Distinguished Teaching Award from the University of Lethbridge. Key research areas include biochemical networks, gene expression dynamics, and metabolic modeling. Roussel collaborates with experimentalists to study complex biological phenomena such as circadian rhythms, somite formation, and enzyme mechanisms. His contributions span theoretical frameworks, computational methods, and interdisciplinary applications in systems biology.

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Thomas Heldtمشاهده پروفایل

دانشیار

Massachusetts Institute of TechnologyUnited States

Thomas Heldt is Associate Professor of Electrical and Biomedical Engineering in the Department of Electrical Engineering and Computer Science at MIT, and a Principal Investigator at MIT's Research Laboratory of Electronics. He leads the Integrative Neuromonitoring and Critical Care Informatics Group and serves as Associate Director of the Institute for Medical Engineering and Science. Research focuses on: Noninvasive intracranial pressure monitoring Computational models of cerebrovascular dynamics Sepsis detection algorithms Wearable physiological monitoring Clinical decision support systems Recent publications (2022-2024) demonstrate advances in hemodynamic modeling, diagnostic algorithms for critical care, and AI applications for physiological monitoring. Key innovations include open cranium models for intracranial hypertension studies, deep learning frameworks for fatigue assessment, and mobile-based neurocognitive tracking. Professor Heldt collaborates with Boston Children's Hospital, Beth Israel Deaconess Medical Center, and Boston Medical Center to translate research into clinical practice. His work has been recognized through the W.M. Keck Career Development Professorship and IEEE EMBS Distinguished Lectureship.

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Alistair McEwanمشاهده پروفایل

استاد

University of SydneyAustralia

Professor Alistair McEwan, affiliated with the University of Sydney's School of Biomedical Engineering, specializes in biomedical devices and instrumentation for neurological and cardiovascular diagnostics. As the Cerebral Palsy Chair of Technology and Engineering and Associate Head (External Engagement), he focuses on low-cost medical solutions for resource-limited settings, including neonatal care and stroke detection. His research bridges biophysics and clinical translation, with applications in electrical impedance tomography, wearable sensors, and neuroprosthetics. PhD from University of Oxford Member of the Sydney Nano Institute, Brain and Mind Centre, and Charles Perkins Centre His work explores how tissue electrical properties can enhance understanding of neural signaling and implant design. Clinical collaborators include the Bill & Melinda Gates Foundation for newborn nutrition monitoring. Recent projects involve AI-assisted critical care modeling, bionic devices for stress measurement, and adaptive control systems for neonatal resuscitation equipment.

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Jan-Niklas Voigt-Antonsمشاهده پروفایل

استاد

Hamm-Lippstadt University of Applied SciencesGermany

Prof. Jan-Niklas Voigt-Antons is a Professor of Applied Computer Science specializing in Immersive Media at Hamm-Lippstadt University of Applied Sciences. His work focuses on Extended Reality (XR), Virtual Reality (VR), Augmented Reality (AR), and their applications in healthcare, education, and human-machine interaction. He holds a Dr.-Ing (Engineering Doctorate) and has extensive industry experience with organizations like Daimler AG, Telekom Innovation Laboratories, and the German Research Center for Artificial Intelligence (DFKI). Research interests include user experience (UX) design, emotion analysis in virtual environments, and accessibility for aging populations. He has led projects on wearable health tech, AR/VR usability, and immersive training systems. Notable areas of impact include developing guidelines for inclusive XR interfaces and advancing telemedicine through immersive technologies. Prof. Voigt-Antons has collaborated with Charité – Universitätsmedizin Berlin on healthcare applications and has contributed to standardization efforts in telecommunications. His technical competencies include agile project management, statistical analysis, and mobile application development for iOS/Android. He advises on UX evaluations, usability testing, and physiological data analysis for industry partners. Key achievements include creating the Story Time Dataset for video quality research and developing the ColorTable system for flavor perception studies. His work emphasizes real-world deployment, with projects addressing mobility challenges for seniors in rural areas and improving dementia care through tablet-based interventions.

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Fabien Duveauمشاهده پروفایل

پژوهشگر

École Normale Supérieure de LyonFrance

Fabien Duveau is a CNRS Researcher at the Laboratory of Biology and Modelling of the Cell (LBMC) at École Normale Supérieure de Lyon. He leads the eGRIDE project, funded by an ERC Consolidator Grant, investigating evolutionary mechanisms of gene regulation in dynamic environments. His work focuses on understanding how gene expression plasticity and mutational effects shape organismal adaptation. Duveau holds a PhD from Université Paris 7/CNRS (2011), followed by postdoctoral research at the University of Michigan and Université Paris 7. He joined LBMC in 2019 as part of Gaël Yvert’s team, supported by an ANR Young Researchers grant. His research integrates experimental and computational approaches, including high-throughput RNA sequencing and genetic mapping in yeast ( Saccharomyces cerevisiae ), to study how regulatory evolution balances mutational randomness and environmental selection pressures. Key areas include gene expression noise, cis/trans regulatory variation, and fitness outcomes under environmental stress. Recognitions include the prestigious ERC Consolidator Grant (2024), awarded for innovative projects advancing fundamental biological understanding. Duveau collaborates across disciplines, combining evolutionary genetics with systems biology to predict regulatory evolution in natural and pathological contexts.

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Zihang Luمشاهده پروفایل

استادیار

Queen's University at KingstonCanada

Dr. Zihang Lu is an Assistant Professor in the Department of Public Health Sciences at Queen’s University, affiliated with the School of Medicine and Faculty of Health Sciences. He holds a PhD and MSc in Biostatistics from the University of Toronto (2020 and 2013) and a BSc in Biostatistics from Southern Medical University (2012). His research focuses on developing novel statistical and machine learning methods for complex data analysis, with applications in clinical and epidemiological studies, particularly in asthma, obesity, sleep, pain, and cancer research. He collaborates with clinicians to address statistical challenges in longitudinal and functional data analysis, Bayesian modeling, and integrative clustering. Education : PhD in Biostatistics, University of Toronto (2020) MSc in Biostatistics, University of Toronto (2013) BSc in Biostatistics, Southern Medical University (2012) Research Interests : Bayesian data analysis and variable selection Longitudinal and functional data clustering High-dimensional data integration Statistical methods for disease subtyping Design and analysis of observational studies Advising & Grants : Current advisees: Caroline Lee (MSc 2022), Veronique Rowley (2021), Zhiwen Tan (PhD 2022), Mojtaba Ahmadiankalati (MSc 2021) Recruiting CANSSI Distinguished Post-Doctoral Fellow for Bayesian methods in longitudinal health data analysis Accepting MSc/PhD students for 2023 Labs & Teams : His team focuses on statistical methodology development and clinical collaborations, with active projects in pediatric lung function (e.g., the CHILD Cohort Study) and chronic disease management.

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Chi-Chun Leeمشاهده پروفایل

استاد

University of Southern CaliforniaUnited States

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.

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Gunther Zupancمشاهده پروفایل

استاد

Northeastern UniversityUnited States

Gunther Zupanc is a Professor of Biology at Northeastern University's College of Science. His research focuses on neural mechanisms underlying structural plasticity in adult vertebrate nervous systems, particularly adult neurogenesis and neuronal regeneration in teleost fish. He leads the Laboratory of Neurobiology, combining cellular, neuroanatomical, and behavioral approaches to study neuron replacement and network dynamics. His work explores evolutionary factors limiting neurogenesis in mammals versus non-mammalian species, aiming to inform regenerative therapies for neural injuries and diseases. Education details are not explicitly provided in the text, but his expertise spans behavioral neurobiology, comparative neurobiology, and regenerative biology. Key research themes include stem cell populations in spinal cord regeneration, spatiotemporal neurogenesis patterns, and transcriptomic analysis of knifefish neural systems. His articles emphasize interdisciplinary methods bridging genetics, proteomics, and computational modeling. Zupanc’s research has been featured in collaborative studies with institutions like the Agar Lab, focusing on transcriptome validation in electrosensory systems. He recently advised doctoral candidates Meining Carly Ching, Tommy Tashjian, and Antonia Vitalo, who successfully defended their dissertations in Fall 2019. His lab is located in the Mugar Life Sciences Building, Room 134, Boston.

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Lisa Feldman Barrettمشاهده پروفایل

استاد

Northeastern UniversityUnited States

Lisa Feldman Barrett is a University Distinguished Professor of Psychology at Northeastern University with an appointment at Massachusetts General Hospital (MGH). She leads the Interdisciplinary Affective Science Laboratory (IASLab), studying the brain and body mechanisms underlying emotion, motivation, and cognition. Her work integrates psychology, neuroscience, anthropology, and computational methods to challenge traditional emotion theories. She serves as Chief Science Officer for MGH’s Center for Law, Brain and Behavior and actively engages in public science communication through books, lectures, and media. **Research Focus**: Her lab develops systems-level models of affective neuroscience, emphasizing predictive processing, interoception, and cultural influences on emotion. She critiques universal facial expression theories and advocates for a constructionist model of emotion as contextually constructed experiences. **Awards & Honors**: Recipient of the NIH Pioneer Award, APS Mentor Award for Lifetime Achievement, and APA’s Distinguished Scientific Contribution Award. Elected Fellow of the American Academy of Arts and Sciences and Royal Society of Canada. Former President of the Association for Psychological Science (APS). **Key Contributions**: Pioneered the theory of constructed emotion, emphasized the role of interoception in emotion, and demonstrated variability in facial expressions across cultures. Her work bridges basic science and clinical applications, including mental health and legal contexts. **Lab & Teams**: IASLab collaborates across disciplines, with sites at Northeastern and MGH. Current projects explore neural mechanisms of emotion, allostasis, and the impact of aging on memory and resilience.

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