جستجوی استاد راهنمای دانشگاهی

Dr. Valentina Di Santo is an Assistant Professor of Marine Animal Physiology at the Scripps Institution of Oceanography, UC San Diego. Her research integrates biomechanics, physiology, and robotics to study fish locomotion under climate change. She holds a B.Sc. in Natural Sciences from Università di Firenze, an M.Sc. in Biology from the University of West Florida, and a Ph.D. in Biology (Marine Program) from Boston University. Her lab focuses on understanding how environmental stressors like warming, acidification, and hypoxia affect fish performance, while also developing bio-inspired robotics. Key collaborators include engineers and computer scientists for robotic platforms like the cyborg-skate and tuna-bot. Current funding comes from the Human Frontier Science Program and UC San Diego. Her research themes include climate change impacts on fish physiology, biomechanics of swimming and walking behaviors, and paleo-inspired robotics. Notable achievements include quantifying skeletal morphology changes in forage fish over centuries via museum collections and developing a robotic model based on fossil data. Recent publications explore hovering energetics, shark locomotion, and the effects of cyanobacterial blooms on fish behavior. Education: B.Sc. Natural Sciences, Università di Firenze (Italy) M.Sc. Biology, University of West Florida Ph.D. Biology (Marine Program), Boston University Lab members include postdocs Dr. Fidji Berio and Dr. Francesco Masnadi, lab technician Camille Morerod, and numerous graduate and undergraduate students. Awards include the 2025 Scialog Fellowship in Neurobiology and Changing Ecosystems. The lab emphasizes equity, collaboration, and innovative approaches to marine science.

• Fish Biomechanics
• Climate Change Physiology
• Aquatic Locomotion
• +۳ مورد دیگر

Serdal Kirmizialtin is an Associate Professor of Chemistry at New York University Abu Dhabi (NYUAD), affiliated with the Faculty of Arts and Science. He holds a PhD in Physical Chemistry from the University of Texas at Austin (2007) and has held research positions at UT-Austin (postdoc/research associate), Los Alamos National Laboratories (2013–2015), and NYUAD since 2015. His research focuses on molecular machines, RNA folding, and computational methods integrating experiments like cryo-EM and SAXS with molecular dynamics simulations. Education: PhD in Physical Chemistry, University of Texas at Austin (2007) Postdoctoral Fellow and Research Associate at UT-Austin (2007–2013) Associate Research Scientist at Los Alamos National Laboratories (2013–2015) Research Interests: Computational modeling of biomolecular systems Mechanisms of molecular machines (e.g., HIV reverse transcriptase) RNA folding dynamics and ion interactions Development of novel computational tools (e.g., HB-CUFIX force field) Material science applications in environmental remediation Key Research Directions: Integrating experimental data (SAXS, cryo-EM) with simulations Understanding conformational transitions in enzymes Designing porous materials for pollutant capture Labs/Teams: Principal Investigator of the Kirmizialtin Lab at NYUAD, focusing on computational and theoretical approaches at the chemistry-biology-materials interface.

• Physical Chemistry
• Computational Science
• Soft Matter
• +۵ مورد دیگر

Sara S. Patterson, Ph.D., is an Assistant Professor in the Department of Ophthalmology and a Joint Assistant Professor in the Department of Neuroscience at the University of Rochester School of Medicine and Dentistry (SMD). Her research focuses on understanding retinal ganglion cell diversity and their roles in visual processing. She leads the Patterson Lab at the Flaum Eye Institute and Del Monte Institute for Neuroscience, specializing in adaptive optics imaging, connectomics, and retinal circuit analysis. Her work explores how neural circuits mediate visual perception and degeneration, with implications for retinal prosthetics and disease treatment. Dr. Patterson earned her Ph.D. in Neuroscience from the University of Washington (2020) and a BS in Neuroscience from Dickinson College (2014). She completed a postdoctoral fellowship at the University of Rochester with Dr. David Williams (2020–2024). She has been recognized with awards including the Young Investigator Award (2022) and the Steadman Family Postdoctoral Prize (2021). Her research investigates the structure and function of rare retinal ganglion cells, degeneration mechanisms in cortical blindness, and the role of retinal inputs in visual perception. Techniques include adaptive optics for in vivo imaging, serial block-face SEM for connectomics, and computational modeling. The lab collaborates with the Advanced Retinal Imaging Alliance (ARIA) and focuses on translating findings to human health. Lab Affiliations: Flaum Eye Institute, Del Monte Institute for Neuroscience Key Projects: Foveal ganglion cell physiology, retinal degeneration modeling, and non-invasive imaging tools Dr. Patterson’s lab is actively hiring graduate students, postdoctoral fellows, and undergraduates interested in neuroscience, engineering, or computational methods. Her work bridges basic science and clinical applications, aiming to improve therapies for vision disorders.

• Neuroscience
• Vision Science
• Retinal Physiology
• +۴ مورد دیگر

Pierre Tarrès is a Professor of Mathematics at NYU Shanghai and serves as the Associate Provost for Strategic Initiatives and Co-Director of the NYU-ECNU Institute of Mathematical Sciences . He is also a Global Network Professor at the Courant Institute of Mathematical Sciences, New York University. Education PhD in Mathematics, École Normale Supérieure Paris-Saclay Master’s in Mathematics, École Normale Supérieure de Paris Master’s in Mathematics of Artificial Intelligence, École Normale Supérieure Paris-Saclay Research Interests Prof. Tarrès specializes in self-interacting random processes, particularly reinforced random walks, and their applications to stochastic algorithms and learning processes in game theory. His work bridges probability theory, mathematical physics, and computational methods, with a focus on understanding the dynamics of reinforcement and their implications for optimization and statistical mechanics. Articles Trends His publications span topics such as reinforced random walks, stochastic algorithms, Brownian motion, and bandit problems. Recent works emphasize the interplay between probability theory and mathematical physics, particularly through supersymmetric models and Schr"odinger operators. Scientific Awards Leverhulme Prize (2006) Prix des Annales de l'Institut Henri Poincaré (2008) Advising and Grants While student advising details are not provided, his research has been supported by grants linked to his work on stochastic processes and learning algorithms. His editorial role at the Annals of Applied Probability since 2019 highlights his contributions to academic leadership. Labs and Teams As Co-Director of the NYU-ECNU Institute of Mathematical Sciences, he leads collaborative research initiatives, fostering interdisciplinary work between mathematics, computer science, and theoretical physics.

• Probability Theory
• Stochastic Processes
• Game Theory
• +۵ مورد دیگر

Dr. Govinda Poudel is a Senior Lecturer at the Mary Mackillop Institute for Health Research, Australian Catholic University (ACU), Melbourne. He is an interdisciplinary academic with a strong background in computational neuroscience, artificial intelligence, and neuroimaging, focusing on brain health and neurological disorders. His research expertise lies at the intersection of AI and advanced neuroimaging (fMRI, EEG), where he develops computational models to understand brain network alterations in conditions such as Huntington's disease, traumatic brain injury, and sleep disorders. He has pioneered methods for mapping neurodegeneration spread and enhancing brain connectivity modeling through machine learning. PhD, University of Otago, New Zealand BE (First Class Honours), University of Technology Sydney (UTS) His research has led to over 85 peer-reviewed publications in high-impact journals and approximately AUD 0.5 million in research grants. The recent publications reflect a consistent focus on brain network modeling, neurodegeneration prediction, and multimodal neuroimaging, with increasing use of machine learning and graph theory in understanding brain dynamics. Dr. Poudel has been recognized with several scientific awards: Hereditary Disease Foundation USA Fellowship Endeavour Australia Research Fellowship ECR Fellow Publication Prize, Monash University Young Biomedical Engineer Award, Engineers Australia He is an active HDR Supervisor (Full accreditation) and has contributed to research grants from organizations including the Hereditary Disease Foundation, Monash University, and the Royal Society of New Zealand Marsden Fund. He has collaborated extensively with interdisciplinary teams across the University of Sydney, Monash University, and the New Zealand Brain Research Institute. Dr. Poudel is involved in editorial roles, currently serving on the editorial board of BMC Biomedical Engineering and previously for SLEEP (2014–2017). He is a senior member of IEEE and contributes to public engagement through the International Society for Magnetic Resonance in Medicine - ANZ.

• Computational Neuroscience
• Artificial Intelligence
• Health Data Science
• +۷ مورد دیگر

Tak Shing Chan is a researcher in the Mechanics research group at the Department of Mathematics, University of Oslo. His work focuses on wetting dynamics, droplet behavior, capillarity, and micro-nano fluidics, with applications in soft matter physics and biophysics. He employs analytical and numerical methods to study phenomena such as viscoelastic perturbations, elastocapillary effects, and interfacial instabilities. His research contributes to understanding adhesive mechanisms in biological systems and optimizing fluidic systems in engineering contexts. Key projects include the Dynamic wetting on soft solids (DyWeSS) initiative. His publications span topics like capillary bridges, film deposition, and the physics of adhesive organs in animals. Collaborations with institutions like the Norwegian Geotechnical Institute and international universities highlight his interdisciplinary approach. His work bridges fundamental fluid mechanics with applied problems in materials science and biophysics.

• Fluid Dynamics
• Mechanics
• Wetting Dynamics
• +۳ مورد دیگر

Dr. Hansung Kim is an Associate Professor in the School of Electronics & Computer Science at the University of Southampton . With over 100 peer-reviewed publications (60+ as first author), he specializes in 3D computer vision, audio-visual machine perception, and immersive virtual reality technologies. School: School of Electronics & Computer Science University: University of Southampton Email: H.Kim@soton.ac.uk Research Focus : Dr. Kim’s work bridges computer vision, machine learning, and audio signal processing to advance real-time immersive VR experiences. His research addresses challenges in joint audio-visual scene understanding, human pose estimation, and depth estimation using omnidirectional cameras. Key applications include entertainment, training, and media production. Scientific Recognition : Best Paper Award & Nomination (2013, 2019) 3rd Prize at AHSC Competition (2020) Teaching Roles : He supervises courses such as COMP6223 Computer Vision , COMP1201 Algorithmics , and COMP6200 MSc Project , emphasizing technical rigor and practical implementation in computer vision and algorithmic design.

• 3D Computer Vision
• Artificial Intelligence
• Virtual Reality
• +۶ مورد دیگر

UnivProf. Dr. Fabian Sinz is a Professor at the Institute of Computer Science, University of Göttingen, heading the Machine Learning group. His research focuses on interdisciplinary applications of machine learning in computational neuroscience, data science, and neuroscience. He teaches courses such as Data Science I and leads seminars on Machine Learning and Computational Neuroscience. His work bridges theoretical machine learning with empirical neuroscience, particularly in modeling neural activity and connectomics. Research interests include neural population coding, generative models for neural data, and applying machine learning to understand brain function. Notable contributions involve developing methods like TRACE and NEURD for analyzing neural datasets and predicting visual cortex responses. Recent publications emphasize foundational models for neural activity prediction and cross-modal learning. Dr. Sinz collaborates on large-scale projects like the Dynamic Sensorium Competition, advancing reproducibility in predictive modeling of brain activity. He has advised on machine learning applications in health informatics and biomechanical reconstruction. His lab’s work frequently intersects with computer vision, computational biology, and neuroimaging technologies.

• Machine Learning
• Computational Neuroscience
• Data Science
• +۳ مورد دیگر

Bas Rokers is Professor of Psychology and Global Network Professor at New York University Abu Dhabi (NYUAD), where he also serves as Director of the Center for Brain and Health. He leads the Rokers Vision Laboratory, which investigates the neural basis of visual perception, particularly motion and depth processing. His interdisciplinary work integrates behavioral experiments, neuroimaging (e.g., fMRI, dMRI), and computational modeling. BA, Utrecht University MA, Rutgers University PhD, University of California, Los Angeles Dr. Rokers’ research centers on how the brain constructs 3D visual experience from 2D retinal inputs. His lab explores motion perception , depth perception , and binocular integration , with applications in understanding amblyopia , cybersickness , and virtual reality . His team uses neuroimaging , behavioral testing , and AI-driven data analysis to decode visual processing mechanisms. His recent publications reveal trends in 3D motion perception , sensory cue integration , and neural correlates of visual disorders . Studies often employ Bayesian models , fMRI , and psychophysics to explain perceptual biases and clinical conditions. His work bridges basic science with technological innovation in VR/AR systems. Dr. Rokers has contributed to science outreach through the Wisconsin Virtual Brain Project and the National Geographic series Brain Games . He has held visiting positions at MIT, Utrecht University, and NYU. Research Scientist, Max Planck Institute (collaborator) Contributor, National Geographic’s Brain Games Visiting positions at MIT, Utrecht University He mentors students through capstone projects in Psychology, Biology, and Computer Science at NYUAD. His lab includes postdoctoral associates, graduate students, and research scientists working on MRI data pipelines and AI applications in neuroimaging. The Rokers Vision Laboratory is a hub for interdisciplinary research in visual neuroscience, combining experimental and computational approaches to understand perception in health and disease.

• Visual Perception
• Motion Processing
• Depth Perception
• +۷ مورد دیگر

Bruce Draper is a Professor and Chair of the Department of Computer Science in the College of Natural Sciences at Colorado State University. His work bridges artificial intelligence, machine learning, and computer vision, with a strong emphasis on real-world applications involving visual data and intelligent systems. Research Interests: Draper's research centers on machine learning with a focus on visual learning, adversarial AI, and visual agents. He investigates how AI systems can perceive, interpret, and interact with visual environments through technologies like facial recognition, object tracking, augmented reality, and automated visual communication. His work addresses both the capabilities and vulnerabilities of modern AI, particularly in defending systems against adversarial attacks. Publication Trends: His recent scholarly output reflects a consistent trajectory in advancing computer vision and AI robustness. The articles span topics from adversarial defense mechanisms and visual agent autonomy to scalable learning frameworks and real-time video analysis. Collectively, they emphasize secure, efficient, and context-aware visual intelligence systems grounded in deep learning and representation learning. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: While no students or grants are explicitly listed, his leadership role as department chair and prior experience as a DARPA program manager suggest extensive involvement in research funding, mentorship, and high-impact project direction. His background indicates likely supervision of graduate students and management of federally funded research initiatives in AI and computer vision. Labs and Teams: Although no specific lab or research group is named, his research scope implies leadership or affiliation with interdisciplinary teams working on AI security, computer vision, and augmented reality systems within the Department of Computer Science at CSU.

• Artificial Intelligence
• Machine Learning
• Visual Learning
• +۷ مورد دیگر

Alessia Iurato is a Research Fellow and Adjunct Professor in the Department of Asian and North African Studies at Ca' Foscari University of Venice. She holds a cotutelle PhD from Ca' Foscari University and the University of Bremen, focusing on the acquisition of Chinese syntactic structures by Italian learners. Her current research is centered on the PRIN 2020 national project on Chinese resultative verbal complexes, combining corpus and experimental methods. Research Interests: Her work lies at the intersection of Chinese linguistics, second language acquisition, and corpus-based methodologies. She specializes in the acquisition of syntactic constructions such as shì...de clefts and resultative verb compounds, integrating pragmatic and grammatical analysis. Her methodological expertise includes learner corpus compilation, error and pragmatic annotation, and experimental task design. Publication Trends: Her recent publications (2023–2025) reflect a strong focus on constructing and analyzing learner corpora (e.g., BILCC), investigating specific syntactic phenomena in L2 Chinese, and evaluating pedagogical materials. The work consistently employs triangulated methodologies, combining corpus data with experimental findings to understand L2 acquisition processes. Scientific Awards: Winner of the 2022 Hawai'i International Conference on Chinese Studies (HICCS) graduate student award 3-year PhD full merit scholarship (2019–2022) 1-year MA full merit scholarship (2015–2016) Winner of the First Competition of Teaching Chinese to Speakers of Other Languages, Capital Normal University (2016) Overseas Scholarship (Merit Scholarship), Ca' Foscari University of Venice (2014) Advising and Academic Service: She has co-supervised MA theses in Chinese linguistics and language studies. Her service includes refereeing for journals like Corpus Linguistics and Linguistic Theory and Chinese as a Second Language Research , abstract reviewing for international conferences, organizing the 2025 IACL conference, serving on the editorial board of the Journal of Chinese Language Education and Evaluation , and holding an executive board position in the CASLAR association. Labs and Research Groups: She is an active member of the PRIN 2020 research project unit on Chinese resultative verbal complexes, led by Prof. Bianca Basciano. Her work is closely associated with learner corpus research initiatives and international collaborations in Chinese linguistics.

• Chinese Linguistics
• Second Language Acquisition
• Corpus Linguistics
• +۷ مورد دیگر

Jiamian Hu is an Assistant Professor in the Department of Materials Science & Engineering at the University of Wisconsin-Madison. He specializes in computational modeling of material microstructure evolution and properties using phase-field techniques, focusing on multifunctional materials with coupling effects such as magnetostrictive, piezoelectric, ferroelectric, magnetoelectric, and caloric materials, as well as ion transport in solid electrolytes. PhD, Tsinghua University (2013) BS, Sichuan University (2008) His research develops continuum theories and phase-field models to understand how microstructures influence coupling effects and transport properties, while also applying these models for computational materials design. Recent work explores terahertz dynamics in ferroelectrics and hybrid magnon-phonon systems. 2023 NSF CAREER Award 2022 American Ceramic Society Robert L. Coble Award for Young Scholars 2021 Vilas Associate Award 2021 WARF Innovation Award 2020 ACS PRF Doctoral New Investigator Award 2015 MRS Postdoctoral Award 2012 American Ceramic Society Graduate Excellence Award 2011 MRS Graduate Student Gold Award He teaches graduate courses like M S & E 660 - Mesoscale Modeling of Materials and advises master's/PhD students through M S & E 790/990 thesis courses. His computational work bridges fundamental understanding with experimental guidance.

• Computational Materials Science
• Phase-Field Modeling
• Multifunctional Materials
• +۵ مورد دیگر

Melek Masal is a Professor in the Department of Mathematics and Science Education at the Faculty of Education, Sakarya University, Turkey. She holds a Ph.D. in Generalized Parallel p-Equidistant Ruled Surfaces from Ondokuz Mayıs University (1997), and has been an active faculty member since, advancing to associate professor in 2006 and full professor in 2012. She teaches both undergraduate and graduate courses in mathematics education and geometry. Ph.D.: Generalised Parallel p-Equidistant Ruled Surfaces, Ondokuz Mayıs University (1997) M.Sc.: Some New Characteristic Properties of Parallel p-Aquidistante Ruled Surfaces, Ondokuz Mayıs University (1994) B.Sc.: Education, Ondokuz Mayıs University (1991) Her research spans two primary domains: differential geometry , focusing on ruled surfaces, Bishop frames, Minkowski space, and curve theory; and mathematics education , emphasizing origami in teaching, geometric thinking (Van Hiele levels), mathematical literacy, spatial reasoning, and teacher education. She integrates theoretical mathematical concepts into practical pedagogical strategies. The most recent publications highlight a strong trend in both pure geometric research and applied educational studies. On one hand, her geometric work explores advanced topics like Bishop frames, Mannheim curves, and equidistant ruled surfaces in Euclidean and Minkowski spaces. On the other, her educational research investigates innovative teaching methods such as origami and geometric-mechanical games, analyzes student concept images in algebra, and examines teacher feedback practices and mathematical literacy. Teşekkür Belgesi - VII. Geometri Sempozyumu - 2009 Melek Masal has supervised multiple master’s theses and one doctoral dissertation. She has led several research projects, including a Sakarya University BAP project on the impact of elective intelligence games on spatial skills and a TÜBİTAK project on nature education for gifted students. She has also served as a mentor in national projects. In editorial roles, she has been a leading figure in journals such as Sakarya University Journal of Education , International Journal of Educational Studies in Mathematics , and Journal of Multidisciplinary Studies in Education , serving as editor-in-chief and editorial board member. She regularly participates in academic conferences as a jury, organizing committee member, or science board member. She is actively involved in academic service, including editorial leadership, conference organization, and project supervision. She has served on the editorial boards of multiple journals and participated in the organizing and scientific committees of national and international conferences such as ERPA International Congresses on Education and International Conferences on Mathematics and Mathematics Education.

• Differential Geometry
• Mathematics Education
• Geometric Thinking
• +۵ مورد دیگر

Arvid Guterstam is an Assistant Professor at Karolinska Institutet , leading the Social Perception Lab within the Department of Clinical Neuroscience. His research focuses on understanding how the brain represents social agents and attention through low-level sensory mechanisms like visual motion. Education: PhD in Neuroscience (2016), Medical Degree (2011) Academic Appointments: Assistant Professor (2021–2027), Docent (2024) Research interests include social cognition , body ownership , and theory of mind , particularly how these processes are altered in neuropsychiatric conditions like autism. His lab uses fMRI , eye tracking , and motion capture to explore these questions. Recent publications highlight work on implied motion encoding , temporoparietal junction function, and multisensory integration in social perception. Awards include the Future Research Leaders program (Swedish Foundation for Strategic Research) and a StratNeuro Startup Grant (2022). PhD Students: Martha Paskin, Christian Renet Collaborators: Patricia Christian (Postdoctoral), Renzo Lanfranco (Principal Researcher), Ronja Löfström (Teaching Assistant), Kristina Veranic (Postdoc) The Social Perception Lab (socialperceptionlab.com) investigates how visual motion contributes to social cognition, with implications for autism and neuropsychiatric research.

• Neuroscience
• Social Cognition
• Cognitive Neuroscience
• +۵ مورد دیگر

Frowin Fasold is a faculty member at the German Sport University Cologne, affiliated with the Institute of Exercise Training and Sport Informatics, specifically within the Cognition in Team Sports research group. He leads the Teaching and Research Area of Handball and holds the title of Dr. His role as a "Lehrkraft für besondere Aufgaben" signifies a dedicated academic position focused on both teaching and research in his specialized domain. Dr. Fasold's research is centered on the cognitive aspects of team sports, particularly handball and beach handball. His work investigates gaze behavior, judgment and decision-making processes, calibration effects in serial performance evaluations (such as talent scouting and refereeing), and the psychological factors influencing performance. He employs both quantitative and qualitative methodologies and has a strong interest in sports education, game-based learning, and the application of technology like sensor-based motion analysis. His recent publications reveal a consistent focus on the cognitive psychology of sports. Key themes include the calibration of judgments in talent identification and officiating, the use of novel technology (e.g., the Kabsch algorithm) for biomechanical analysis, and the development of innovative teaching methods for school handball. His work bridges the gap between theoretical cognitive psychology and practical applications in sports training and education. Excellence in Research Award (2023) Lehrpreis - e-Lehre SoSe2020 (2020) Lehrpreis - Praxiskurs/Übungen (2017) Dr. Fasold is actively involved in research projects, including those funded by internal and external sources, such as a project on improving the physical and cognitive abilities of basketball referees. He has a wide network of collaborations, most notably with Daniel Memmert, Stefanie Klatt, and Karsten Schul, with whom he has co-authored numerous publications and projects. He also contributes to the sport as the National Coach for the U16 female beach handball team. Dr. Fasold leads the Teaching and Research Area of Handball, which serves as his primary research and teaching hub. He is part of a larger collaborative network within the Institute of Exercise Training and Sport Informatics, particularly the "Cognition in Team Sports" group, where he works with other researchers and academic staff on shared projects related to gaze behavior, sports psychology, and training methodology.

• Sport Psychology
• Cognition in Team Sports
• Gaze Behavior
• +۱۱ مورد دیگر