جست‌وجوی استاد و پژوهشگر

• Computational Neuroscience
• Neurobiology
• Visual Cortex
• +۳ مورد دیگر

Mario Dipoppa is an Assistant Professor in the Department of Neurobiology at the University of California, Los Angeles. His research focuses on computational neuroscience, cortical adaptation, and neural circuit dynamics. Position: Assistant Professor, Neurobiology Email: mdipoppa@g.ucla.edu Research Interests: Mario's work explores how neural populations in the visual cortex adapt to sensory input, with a particular emphasis on the interplay between neural oscillations, synchrony, and cognitive functions like working memory. His recent studies investigate optimal coding strategies in visual adaptation, contextual modulation mechanisms, and the role of transcriptomic diversity in cortical interneuron function. Publications Trends: His research spans computational modeling of cortical networks, visual neuroscience, and neurogenetic analyses of brain circuits. Early work (2013-2016) focused on working memory mechanisms and neural oscillations, while recent studies (2022-2025) emphasize visual cortex adaptation, population coding, and cross-species circuit comparisons.

Enoch Yeungمشاهده پروفایل

دانشیار

• Systems Biology
• Control Systems
• Machine Learning
• +۷ مورد دیگر

Enoch Yeung is an Associate Professor in the Department of Mechanical Engineering at the University of California, Santa Barbara (UCSB). His research focuses on systems biology, control systems, machine learning, and data mining, with a particular emphasis on understanding how mechanical forces in DNA regulate gene dynamics and cell fate. He leads projects on distributed biological computing, data-driven control architectures, and synthetic biological systems design, supported by funding from DARPA, NSF, and the U.S. Army. Yeung holds a PhD in Control and Dynamical Systems from the California Institute of Technology and a BS in Mathematics from Brigham Young University. His work integrates methods from DNA biophysics, synthetic biology, microfluidics, and control theory to study genome organization and cellular decision-making. Recent projects include the DARPA Living Foundries program, the NSF Molecular Programming Project, and the AFOSR Biological Research Initiative. He has received numerous awards, including the NSF Early CAREER Award and Young Investigator Award from the U.S. Army. His lab conducts interdisciplinary research, including a 2024 Summer Synthetic Biology Workshop for high school students. Key research themes include DNA supercoiling dynamics, biophysical feedback control in cells, and scalable Koopman operator methods for analyzing complex biological systems. Lab Focus: Biological Control Lab explores DNA mechanics, synthetic biology, and data-driven modeling. Grants & Collaborations: PI on multi-institutional programs involving PNNL, DARPA, and NSF. Advisory Roles: Served on panels for DARPA, NIST, and the National Defense University.

Bernhard Thomaszewskiمشاهده پروفایل

مدرس

• Computer Graphics
• Robotics
• Computational Mechanics
• +۳ مورد دیگر

Bernhard Thomaszewski is a Lecturer at the Department of Computer Science at ETH Zürich. His research focuses on computational mechanics, robotics, and computer graphics, with an emphasis on simulation-based design and material modeling. He explores topics such as deformable contact, flexible materials, and robotic mechanisms. His work bridges theoretical foundations and practical applications, including medical imaging, garment simulation, and biomechanical systems. Notable research interests include the development of novel algorithms for real-time simulation, optimization-driven design of mechanical systems, and integration of machine learning with physical models. He has contributed to advancements in finite element modeling, differentiable simulation, and topology optimization for robotic and biomedical applications. His recent projects highlight interdisciplinary collaboration, addressing challenges in areas like orthodontic treatment prediction, automated pipeline design, and neural network-driven material characterization. While no specific grants or awards are explicitly listed, his prolific publication record underscores his impactful contributions to computational engineering and computer science.

Doraiswami Ramkrishnaمشاهده پروفایل

استاد

• Chemical Engineering
• Biomedical Engineering
• Mathematical Biology
• +۵ مورد دیگر

Professor Doraiswami Ramkrishna is the Harry Creighton Peffer Distinguished Professor of Chemical Engineering at Purdue University's Davidson School of Chemical Engineering. His research focuses on applying mathematical methods to chemical and biochemical systems, including population balance modeling, stochastic processes, and cybernetic frameworks for metabolic networks. His work spans crystallization processes, cancer chemotherapy modeling, and personalized medicine. Education: B.S. from the University of Bombay (1960), Ph.D. from the University of Minnesota (1965). He joined Purdue in 1976 after faculty roles at Indian institutions. His awards include membership in the U.S. and Indian National Academies of Engineering, the AIChE Wilhelm and Thomas Baron Awards, and the 2021 William H. Walker Award for Chemical Engineering Literature. Research Interests: Cybernetic modeling of biological systems, population balances in particulate systems, stochastic modeling of rare events, and mathematical approaches to cancer treatment optimization. His group collaborates on projects involving metabolic networks, drug resistance mechanisms, and personalized hydroxyurea therapy for sickle cell disease. Awards: Over 30 honors including the 2021 Walker Award, NAE membership, and Platinum Award from Mumbai University. Advising: Mentored numerous graduate students and research associates, with notable work on lipid metabolism, chemotherapy-induced neuropathy, and crystallization dynamics. Labs/Teams: Leads the Ramkrishna Research Group, collaborating internationally on projects like cancer care engineering and metabolic engineering of bioethanol production.

Marc Rousselمشاهده پروفایل

استاد

• Biochemical Systems Analysis
• Mathematical Biology
• Chemical Kinetics
• +۳ مورد دیگر

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.

Xiaoqiang Wangمشاهده پروفایل

استاد

• Numerical Analysis
• Applied Partial Differential Equations
• Mathematical Biology
• +۶ مورد دیگر

Xiaoqiang Wang is a Professor in the Department of Scientific Computing at Florida State University (FSU). His research focuses on numerical analysis, applied partial differential equations, mathematical biology, image processing, and scientific computing. He holds a Ph.D. from Pennsylvania State University (2005). His work emphasizes phase-field modeling for elastic bending energy, biological microstructures, and computational methods for complex systems. Notable contributions include advancements in centroidal Voronoi tessellation algorithms for image segmentation and high-performance computing techniques for scientific visualization. Recent publications highlight innovations in topology-preserving phase-field models, neural network-based energy minimization, and stochastic resource competition models. His research bridges theoretical mathematics with practical applications in biophysics, materials science, and biomedical engineering. Wang collaborates actively with interdisciplinary teams, contributing to FSU's computational science initiatives. His lab focuses on developing novel numerical methods and simulations for biological and physical systems, reflecting a commitment to both foundational and applied research.

Richard A. Settersten, Jr.مشاهده پروفایل

استاد

• Life Course Studies
• Aging and Gerontology
• Transitions to Adulthood
• +۳ مورد دیگر

Richard A. Settersten, Jr., is a University Distinguished Professor of Life Course and Human Development at Oregon State University, where he has held leadership roles including Vice Provost for Faculty Affairs, Interim Dean of the College of Health, and founding Director of the Hallie E. Ford Center for Healthy Children & Families. A graduate of Northwestern University, he previously served as Professor of Sociology at Case Western Reserve University. His work focuses on life-course studies, aging, and transitions across adulthood, informed by interdisciplinary research and policy collaboration. Key affiliations include the School of Human Development and Family Sciences, the Center for Healthy Aging Research, and the MacArthur Foundation’s Research Network on Transitions to Adulthood. His research has been supported by NIH divisions and foundations like MacArthur and Bill & Melinda Gates. He co-led Oregon’s Family Impact Seminars, influencing state policies such as expanded EITC for young families and rent control. He holds fellowships at institutions like the Max Planck Institute for Human Development and received an honorary doctorate from the University of Lausanne (2022). Research interests span life-course transitions, longitudinal studies, social policy, and generational dynamics. Notable books include *Living on the Edge* (2021) and *Not Quite Adults* (2010). Awards include the Matilda White Riley Distinguished Scholar Award and OSU’s Impact Award for Outstanding Scholarship. Current activities include a Stanford University fellowship on 'Education and Learning for Longer Lives.' His work bridges academic rigor with policy impact, emphasizing social norms, intergenerational connections, and resilience in the face of societal change.

David A. Egolfمشاهده پروفایل

دانشیار

• computational physics
• nonequilibrium systems
• spatiotemporal chaos
• +۶ مورد دیگر

David A. Egolf is an Associate Professor in the Department of Physics at Georgetown University, specializing in computational physics with a focus on systems maintained far-from-equilibrium. His research spans fluid dynamics, granular materials, biophysics, and statistical mechanics, employing nonlinear dynamics and large-scale computation to understand complex phenomena. His educational background includes undergraduate and doctoral studies at Duke University, where he earned his PhD in Physics with a thesis on Characterizations of Extensively Chaotic States and Transitions . Prior to Georgetown, he held postdoctoral positions at Cornell University's Cornell Theory Center and Los Alamos National Laboratory's Center for Nonlinear Studies. Egolf's research interests center on spatiotemporal chaos and nonequilibrium systems. He investigates how localized events determine the evolution of complex systems, with applications ranging from fluid convection to fibrillating heart tissue. His work reveals that seemingly chaotic systems often contain predictable elements around specific critical events, providing pathways to develop a statistical mechanics for nonequilibrium phenomena. His publication record shows consistent contributions to understanding dynamical systems, with recent work focusing on granular jamming transitions, biopolymer networks, and QCD calculations. The research demonstrates recurring themes of identifying fundamental building blocks within chaotic systems and establishing connections between nonequilibrium behavior and equilibrium statistical mechanics. Alfred P. Sloan Research Fellow Software of the Year Award (1984) for AtariLab Science Series Egolf has successfully mentored numerous undergraduate researchers at Georgetown, supervising over a dozen senior theses with several students receiving departmental awards and honors. His research has been supported by major funding agencies including the National Science Foundation, Research Corporation, NASA, and the Alfred P. Sloan Foundation. He maintains an active collaboration with experimental physicist Jeffrey Urbach, combining theoretical and experimental approaches to study driven granular systems and biophysics. His laboratory work focuses on computational modeling of nonequilibrium systems, utilizing large computer clusters to simulate complex phenomena across multiple scales. Current projects include studying granular systems driven by both shaking and shearing to introduce multiple time-scales, and investigating biopolymer networks relevant to cellular mechanisms.

Fan Lamمشاهده پروفایل

دانشیار

• Biomedical Imaging
• MRI
• Molecular Imaging
• +۵ مورد دیگر

Fan Lam is an Associate Professor in the Department of Bioengineering at the University of Illinois Urbana-Champaign (UIUC), affiliated with the Grainger College of Engineering. He also directs the MS in Biomedical Image Computing (MS-BIC) program. His primary research focuses on developing advanced imaging techniques such as biomedical imaging, MRI, molecular imaging, and image reconstruction to study brain function and diseases. Lam holds a Ph.D. in Electrical and Computer Engineering from UIUC (2015), an M.S. in the same field from UIUC (2011), and a B.S. in Biomedical Engineering from Tsinghua University (2008). He is affiliated with multiple institutes, including the Carle-Illinois College of Medicine, the Carl R. Woese Institute for Genomic Biology, and the Beckman Institute for Advanced Science and Technology. Lam serves as a journal editor for Frontiers in Physics , Medical Physics , and IEEE Transactions on Medical Imaging . His work bridges engineering and neuroscience, with grants from NIH and other agencies supporting Alzheimer’s research and imaging innovations. Research highlights include epigenetic MRI, high-resolution volumetric MRI, and integrating AI with imaging methods. Lam’s team collaborates across disciplines to address challenges in medical imaging and brain mapping. His lab, the Quantitative Multiscale Imaging Group, develops tools for molecular and biochemical analysis of the brain.

Guillaume Duclosمشاهده پروفایل

استادیار

• Biophysics
• Soft Condensed Matter Physics
• Active Matter
• +۵ مورد دیگر

Dr. Guillaume Duclos is an Assistant Professor in the Martin A. Fisher School of Physics at Brandeis University, where he leads the Duclos Lab. His research focuses on the physics of active matter, biomimetic systems, and the interplay between molecular motors and soft materials. He holds a PhD from Institut Curie and Pierre et Marie Curie University (Paris, France). His lab investigates pattern formation in active materials, topological defects in nematics, and collective cell migration. Key funding includes NSF CAREER (2021–2026) and DOE Early Career (2023–2028) awards. Current students include Annemarie Winters (co-advised with Hannah Yevick), Benjamin Strain, Bennett Sessa, and Adrielle Cusi. Alumni include Dr. Bibi Najma (now at Caltech) and Dr. Salman Alam (at Lam Research). The lab emphasizes interdisciplinary training in biophysics, soft matter, and quantitative biology. Recent work includes studies on 3D pattern formation in protein-membrane systems, microtubule-motor interactions, and active nematic droplets. Research facilities support cutting-edge microscopy and computational modeling.

Sergei Fedotovمشاهده پروفایل

استاد

• Random Walk Theory
• Reaction-Diffusion Systems
• Non-Markovian Processes
• +۳ مورد دیگر

Professor Sergei Fedotov is a Professor of Applied Mathematics in the Department of Mathematics at the University of Manchester. He holds a PhD from Ural Federal University (1986) and has held academic positions in London, Aachen, Wuppertal, and Berlin before joining Manchester in 1998. His research focuses on random walk theory, reaction-transport systems, and anomalous transport phenomena with applications to biophysics, nanotechnology, and cancer biology. His expertise includes non-Markovian models, fractional calculus, and interdisciplinary collaborations in areas such as intracellular transport, nanoparticle dynamics, and DNA repair. Fedotov has led major grants, including EPSRC-funded projects on nanoparticle transport in radiotherapy and FAPESP-UoM collaborations on correlated memory in biological systems. He has supervised PhD students including Anna Gavrilova, Daniel Han, and Helena Stage, and collaborates with institutions globally, such as Universitat Autònoma de Barcelona and The Christie Hospital. Key research themes include stochastic models of subdiffusion/superdiffusion, fractional partial differential equations, and the application of statistical mechanics to biological systems. His work contributes to sustainable development goals through advancements in medical physics and environmental modeling. Recent publications explore heterogeneous transport in C. elegans, stochastic water flow dynamics, and the modeling of radiation-induced DNA damage. Fedotov’s team develops novel frameworks to bridge theoretical mathematics with experimental biology, emphasizing the role of memory effects and non-equilibrium processes. Grants managed include the EPSRC £702k project on improving radiotherapy via nanoparticle transport modeling (2021–2025) and the FAPESP-UoM study on correlated memory in biological systems (2018–2022). His work integrates mathematical rigor with experimental validation, addressing challenges in cellular logistics and disease mechanisms.

Raúl Suárez Feijóoمشاهده پروفایل

پژوهشگر

• Robotized Assembly
• Fine Motion Planning
• Robotized Grasping and Manipulation
• +۴ مورد دیگر

Summary Raúl Suárez Feijóo is a Researcher at the Universitat Politècnica de Catalunya (UPC) in the Institut d'Organització i Control de Sistemes Industrials (IOC). Born in Asturias, Spain (1959), he holds an Electronic Engineering degree from the National University of San Juan, Argentina (1984), and a Doctorate in Engineering from UPC (1993). His research focuses on robotized assembly, fine motion planning, grasping, and multi-robot systems. He has led the IOC as Deputy Director (2003–2009) and Director (2009–2016). He coordinates doctoral programs in Automation and Robotics at UPC. Suárez has authored numerous publications and received awards including the Best Paper Award at IEEE ISATP (1995) and the Best Reviewer Award at ICRA (2015). Education: Electronic Engineer (1984, Argentina), Doctor Engineer (1993, UPC) Leadership Roles: Director of IOC (2009–2016), Coordinator of Doctoral Programs Research: Over 100 publications in robotics, emphasizing grasping, manipulation, and industrial automation. His work includes contributions to robotic hands, motion planning, and collaborative robotics. Notable projects involve 5G-enabled robotic systems and multi-AGV traffic management. Awards highlight his impact in both international and national robotics communities.

Zahra Aminzareمشاهده پروفایل

دانشیار

• Mathematical Biology
• Dynamical Systems
• Nonlinear Dynamics
• +۳ مورد دیگر

Zahra Aminzare is an Associate Professor of Mathematics at the University of Iowa. She is affiliated with the Department of Mathematics within the College of Liberal Arts and Sciences. Her research focuses on Mathematical Biology and Dynamical Systems, with emphasis on modeling biological systems such as cellular homeostasis, insect locomotion, and neural oscillators. She holds a PhD from Rutgers University. Her work explores topics including synchronization in nonlinear networks, stochastic processes in biological systems, and the application of contraction theory to stability analysis. Notable contributions include studies on ion transport dynamics, bacterial chemotaxis, and phase reduction in noisy oscillators. Her research bridges mathematical methodologies with biological phenomena, addressing questions related to system robustness and emergent behaviors. Aminzare’s publications span across journals and conferences, with recent work addressing rhythmicity in insect locomotion, spike-generation mechanisms in multi-timescale systems, and stochastic synchronization in networked systems. She maintains an active research lab focused on interdisciplinary applications of dynamical systems theory.

William L. Kathمشاهده پروفایل

استاد

• Quantitative Biology
• Neuroscience
• Optics
• +۳ مورد دیگر

William L. Kath is the Margaret B. Fuller Boos Professor of Engineering Sciences and Applied Mathematics at Northwestern University's McCormick School of Engineering. He holds affiliations as Deputy Director of the National Institute for Theory and Mathematics in Biology, courtesy faculty in Neurobiology, and member of the Northwestern Institute on Complex Systems. His research bridges quantitative biology, neuroscience, and optics, focusing on dynamical models of biological systems and high-speed optical communication systems. Key projects include the EMBEDR algorithm for single-cell omics analysis and computational models of temperature sensing in Drosophila. Research interests emphasize quantitative and computational biology, particularly circadian rhythms, neuronal circuit modeling, and single-cell genomics. Collaborations include the Gallio lab (Drosophila thermosensation), Daniel Dombeck's lab (hippocampal neuron behavior), and Nelson Spruston's group (hippocampal microcircuits). His work on optics includes nonlinear pulse propagation and rare event analysis in fiber optics. Scientific awards include Fellowships from the Society for Industrial and Applied Mathematics and the Optical Society of America. He advises over 20 graduate students and has developed courses like ESAM 472 (RNA sequencing analysis) and ESAM 370 (Computational Neuroscience). Current students include Richard Suhendra and Nan Ding (jointly advised). Labs/teams: Leads the National Institute for Theory and Mathematics in Biology, co-leads the Gallio lab collaboration on thermosensory circuits, and maintains active projects in computational neuroscience and optics at Northwestern.

André Longtinمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Stochastic Dynamics
• Theoretical Biophysics
• +۶ مورد دیگر

André Longtin is a Full Professor in the Department of Physics at the University of Ottawa, affiliated with the Faculty of Science. He co-directs the Centre for Neural Dynamics & Artificial Intelligence and holds cross-appointments in Cellular and Molecular Medicine, Mathematics and Statistics. His research focuses on nonlinear dynamics, stochastic systems, and computational neuroscience, with applications to sensory processing, neural coding, and thermodynamic principles in biological systems. Education: B.Sc. (Honours Physics, Université de Montréal), M.Sc. (Physics, Université de Montréal), Ph.D. (Physics, McGill University, 1989). Postdoctoral training at Los Alamos National Laboratory. Research Interests: Theoretical biophysics, neural modeling, entropy production in biological systems, delayed dynamical systems, and interdisciplinary applications of nonlinear science. His group explores computations in hippocampus and zebrafish pallium, epilepsy mechanisms, neural coding in electrosensory systems, and autonomous stochastic rhythms. Recent Work: Articles highlight entropy dynamics in humans, myelin plasticity effects on neural networks, and reservoir computing with delayed loops. Awards include APS Fellowship (2003) and the NSERC Brockhouse Prize (2017). Editorial Roles: Biological Cybernetics, Frontiers in Computational Neuroscience, and others. Collaborations span systems neuroscience, clinical specialties, and engineering.