جست‌وجوی استاد و پژوهشگر

Karen Alimمشاهده پروفایل

استاد

• Biological Physics
• Morphogenesis
• Non-neuronal Information Processing
• +۴ مورد دیگر

Prof. Karen Alim is a Professor of Biological Physics and Morphogenesis at the Department of Physics, Technische Universität München (TUM), affiliated with the TUM School of Natural Sciences. She holds a PhD from the Ludwig-Maximilians-Universität München (2010) and conducted postdoctoral research at Harvard University (2010–2015) before leading a Max Planck Research Group in Göttingen. Her research focuses on non-neuronal information processing in living systems, particularly using Physarum polycephalum to study physical principles of network adaptation, fluid dynamics, and morphogenesis. Education: PhD in Physics, Ludwig-Maximilians-Universität München (2010) Studies at Universität Karlsruhe, LMU München, and University of Manchester Research Interests: Prof. Alim explores how biological systems process information without neurons, emphasizing adaptive flow networks, mechanical signaling in plants, and collective behavior in active matter. Her work combines theoretical modeling with experimental systems like slime molds and plant tissues. Awards: ERC Starting Grant (2020) Elisabeth-Schiemann-Kolleg Fellowship (2013–2018) DAAD Stipendium (2011–2014) John Birks Award (2004) Advising & Grants: While specific grant details beyond the ERC award are not listed, her research has been supported by major funding bodies. No student advisees are explicitly listed in the provided materials. Labs/Teams: Leads the Biological Physics and Morphogenesis group at TUM, focusing on interdisciplinary studies of living systems' physical principles.

Mark Leeمشاهده پروفایل

استاد مدعو

• Human Factors Engineering
• Healthcare Safety
• Data Analytics in Manufacturing
• +۳ مورد دیگر

Mark Lee is an Adjunct Professor in the People Analytics department at NYU’s Tandon School of Engineering, specializing in Technology Management and Innovation. He holds a Ph.D. in Engineering Psychology from Georgia Institute of Technology (1996). Currently, he serves as Head of Research, Analytics, and Business Development at UL ComplianceWire, focusing on pharmaceutical and medical device manufacturing training. His research leverages large datasets to improve healthcare safety through regulatory compliance and best practices. Courses taught include Human Factors Engineering, Workplace Design, and Predictive Analytics. Education: Ph.D. in Engineering Psychology, Georgia Tech (1996) Key Roles: Adjunct Professor, Head of Research at UL ComplianceWire Research Focus: Human Factors, Training Systems Design, Healthcare Compliance His work spans auditory display systems for aviation (e.g., 3D audio cockpit interfaces) and ergonomic design for industrial products. Recent projects emphasize data-driven solutions for regulatory challenges in life sciences. Publications highlight studies on visual search strategies, age-related cognitive performance, and application of signal detection theory in decision-making. He actively collaborates with industry and government entities, exemplified by the FDA-UL Cooperative Research Agreement.

• Self-organized criticality
• Neuronal network dynamics
• Excitation/Inhibition balance
• +۵ مورد دیگر

Anna Levina is an Assistant Professor for Computational Neuroscience at the University of Tübingen , affiliated with the Department of Computer Science under the Faculty of Science. Her research focuses on the self-organization of neuronal activity, critical dynamics in neural networks, and the excitation/inhibition balance in cortical circuits. Current positions: Assistant Professor (since 2018), Group Leader (2017-2018), Equality Officer (Computer Science) Previous roles: IST Fellow (2015-2017), Associated Researcher (2011-2015), Postdoc/PI (2011-2015), Postdoc (2008-2011) Her research integrates mathematical modeling , statistical physics , and computational neuroscience to study criticality phenomena, neural avalanches, and adaptive network dynamics. Key interests include: Self-organized criticality in neural systems Excitation/Inhibition balance mechanisms Network topology and dynamics Timescale analysis in neural processing Stochastic modeling of neural activity Recent publications reveal trends in understanding critical dynamics across biological and artificial networks, with applications to memory systems, sensorimotor integration, and disease modeling. She has received recognition as an IST Fellow .

James Herbert-Readمشاهده پروفایل

دانشیار

• Behavioural Ecology
• Marine Biology
• Collective Animal Behaviour
• +۴ مورد دیگر

Dr James Herbert-Read is an Associate Professor and Whitten Lecturer in Marine Biology at the Department of Zoology, University of Cambridge. He serves as Deputy Head of Department (Postgraduate Education) and leads the Marine Behavioural Ecology Group. His research focuses on understanding how animals, particularly marine organisms, collect and process information from their environments to make behavioral decisions, with emphasis on social interactions, adaptation mechanisms, and ecological constraints. His group employs theoretical frameworks, controlled experiments, and quantitative field studies to investigate behavioral diversity in marine species. Key themes include collective behavior, predator-prey dynamics, camouflage strategies, and the impacts of environmental stressors on animal decision-making. Recent publications highlight work on lionfish vocalization mechanisms, cuttlefish camouflage, citizen science applications in marine research, and behavioral responses to visual and acoustic noise. Scientific awards and affiliations include: Whitten Lecturer in Marine Biology Associate Professor, University of Cambridge He has supervised research projects on topics such as: Social attraction in invasive fish species Evolution of coordinated movement Neurophysiological basis for leadership in shoals Maternal effects on offspring exploration

Jacinta C. Beehnerمشاهده پروفایل

دانشیار

• Primatology
• Evolutionary Biology
• Sexual Conflict Theory
• +۳ مورد دیگر

Dr. Jacinta C. Beehner is an Associate Professor in the Department of Anthropology & Psychology at the University of Michigan. Her research focuses on sexual conflict theory, reproductive strategies in primates, and the physiological and behavioral mechanisms underlying these dynamics. She directs the Core Assay Facility/Beehner Endocrine Laboratory and co-directs the Simien Mountains Gelada Research Project, Capuchins at Taboga, and the Evolution and Human Adaptations Program. Her work examines non-human primates like geladas, capuchins, and baboons in natural African and American habitats. Key themes include infanticide avoidance, hormonal responses to environmental stress, and the evolutionary implications of reproductive trade-offs. Recent studies highlight the impact of climate change on primate health, the role of social status in parasite resistance, and hormonal adaptations to high-altitude environments. Beehner has contributed to over 60 peer-reviewed articles since 2015, spanning topics from primate social networks to genomic adaptations. Her fieldwork emphasizes integrative methods combining endocrinology, genetics, and behavioral observation. She has presented at international forums like the National Geographic Explorer’s Festival and collaborates across disciplines to advance primate conservation and evolutionary biology.

Benoît Mahaultمشاهده پروفایل

پژوهشگر

• Nonequilibrium Statistical Mechanics
• Active Matter
• Living Matter Physics
• +۵ مورد دیگر

Benoît Mahault serves as a Group Leader and Researcher at the Max Planck Institute for Dynamics and Self-Organization (Göttingen, Germany) within the Department of Living Matter Physics, where he directs the Motile active matter research group. His work bridges theoretical physics and biological complexity through nonequilibrium statistical mechanics. His academic background includes a Ph.D. from Université Paris-Saclay (2018) under Hugues Chaté, followed by a postdoctoral position at the University of Tokyo in Prof. Masaki Sano's group. He joined the Max Planck Institute in 2019 as a postdoc and was promoted to Group Leader in 2021. Dr. Mahault's research centers on emergent self-organization in active matter systems , with focus areas including: Transition mechanisms to collective motion Bose-Einstein-like condensation via motility inhibition Topological defect dynamics in active nematics Navigation strategies for microswimmers in complex environments His theoretical framework reveals universal principles governing both synthetic and biological active systems. Analysis of his 15 most recent publications (2022–2025) shows a cohesive trajectory exploring nonreciprocal interactions , quorum sensing , and energy-accuracy tradeoffs in active matter. Key themes include phase separation in driven mixtures, defect-mediated pattern formation, and hydrodynamic optimization of microswimmer locomotion—demonstrating consistent innovation at the physics-biology interface. The Motile active matter group employs advanced theoretical modeling to dissect self-organization principles, contributing foundational insights through collaborations with experimental teams at the Max Planck Institute. Current projects investigate non-equilibrium steady states in confined active systems and topological constraints in collective navigation.

Ketika Gargمشاهده پروفایل

پژوهشگر

• Computational Neuroscience
• Social Media Analysis
• Collective Behavior
• +۳ مورد دیگر

Ketika Garg is a Postdoctoral Scholar Research Associate in the Division of the Humanities and Social Sciences at the California Institute of Technology (Caltech), with an office in the Broad Center for Biological Sciences. Her research focuses on the interplay between individual and social decisions, using experimental and computational methods to explore how social environments influence decision-making and collective behavior. She investigates contexts ranging from traditional foraging paradigms to modern social media landscapes, developing innovative experimental frameworks to study these dynamics. Her research interests span computational neuroscience, social media analysis, and collective behavior, with a particular emphasis on understanding exploration-exploitation trade-offs in both natural and digital environments. She has contributed to studies on hunter-gatherer foraging networks, online toxicity dynamics, and the evolution of search strategies in collective foraging systems. Her work bridges disciplines such as psychology, ecology, and computer science to address fundamental questions in decision-making and social interaction. Dr. Garg’s publications reflect her interdisciplinary approach, covering topics like synergy in collective problem-solving, the roots of online toxicity, and the application of Lévy walks in virtual foraging experiments. While no formal awards or grants are explicitly listed in the provided materials, her research trajectory demonstrates a commitment to advancing methodologies in computational social science. Contact: kgarg@caltech.edu Office: Broad Center for Biological Sciences (96) Phone: 626-395-1755

Thomas Whiteمشاهده پروفایل

مدرس ارشد

• Evolutionary Ecology
• Behavioral Ecology
• Entomology
• +۳ مورد دیگر

Dr Thomas White is a Senior Lecturer and ARC Discovery Early Career Fellow at the School of Life and Environmental Sciences, University of Sydney. He leads the Sensory and Evolutionary Ecology (SEE) Lab, focusing on understanding how organisms gather and exchange information to solve ecological challenges. His research spans adaptive evolution, communication systems, and the ecological consequences of sensory interactions, with particular emphasis on insects and invertebrates. Current research themes include predator-prey deception (e.g., spider lures), pollinator behavior, and the ethics of invertebrate welfare. He coordinates courses such as LIFE4000 and BIOL2033, integrating field experiments, modeling, and meta-analysis. Notable awards include the ARC DECRA Fellowship and grants from the Hermon Slade Foundation. His lab actively collaborates on interdisciplinary projects, including software tools for color analysis (e.g., pavo package in R). Students advised include Georgie Brennan, Kristin Hubakk, and Rui Shi, exploring topics like pollination systems and spider communication. Key Projects: Nocturnal pollination resilience, invertebrate sociality, and defensive displays Grants: ARC DECRA (2020), Australia & Pacific Science Foundation (2024) Labs/Teams: Sensory and Evolutionary Ecology (SEE) Lab at University of Sydney

Martin Burgerمشاهده پروفایل

استاد

• Inverse Problems
• Applied Mathematics
• Mathematical Modelling
• +۱۵ مورد دیگر

Prof. Dr. Martin Burger is a leading scientist at DESY and a Full Professor in the Department of Mathematics at Universität Hamburg, where he leads the Computational Imaging Group. His research bridges applied mathematics, imaging sciences, and machine learning, with a focus on inverse problems, mathematical modeling, and partial differential equations. He has held professorial positions at Universität Münster and FAU Erlangen-Nürnberg prior to his current dual appointment. Full Professor, Universität Hamburg (2023–present) Leading Scientist, DESY, Hamburg (2023–present) Full Professor, FAU Erlangen-Nürnberg (2018–2023) Full Professor, Universität Münster (2006–2018) His research interests include inverse problems, variational regularization, optimal transport, kinetic models, and mathematical modeling in biology and social sciences. He has made significant contributions to imaging reconstruction, sparse neural networks, and the analysis of transformer architectures. His work often integrates theoretical analysis with computational methods, influencing both pure and applied mathematics. The most recent articles reflect a strong trend toward interdisciplinary applications, combining deep learning with PDE-based modeling, analyzing social and biological systems via kinetic and mean-field models, and advancing mathematical imaging through graph-based and optimal transport methods. His publications span high-impact venues in applied mathematics and computational science. Calderon Prize, Inverse Problems International Association (IPIA) ERC Consolidator Grant (2014) Invited speaker at ECM (2021), ICM (2022), and ICIAM (2023) Editor-in-Chief, European Journal of Applied Mathematics (since 2017) Prof. Burger has supervised numerous PhD students and postdoctoral researchers, many of whom appear as co-authors in his publications. His research is supported by major grants, including funding from the German Federal Ministry of Education and Research (BMBF). He is actively involved in collaborative projects across mathematics, physics, and engineering disciplines. He leads the Computational Imaging Group at DESY, fostering a collaborative environment for developing novel mathematical tools in imaging science. The group works on both theoretical foundations and practical implementations, contributing to advancements in tomography, machine learning, and data analysis.

Nicholas Vincentمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Responsible Artificial Intelligence
• Human-Centric Machine Learning
• +۳ مورد دیگر

Nicholas Vincent is an Assistant Professor in the School of Computing Science at Simon Fraser University. His research focuses on Human-Computer Interaction (HCI), Responsible Artificial Intelligence, and Human-Centric Machine Learning. He holds a Ph.D. in Technology and Social Behavior from Northwestern University (2022) and a B.Sc. in Electrical Engineering from UCLA (2016). Education: Ph.D., Northwestern University (2022); B.Sc., UCLA (2016) Affiliations: Simon Fraser University School of Computing Science His work examines the societal implications of AI, including data labor rights, algorithmic governance, and ethical design. Notable contributions include frameworks for measuring attentional agency on digital platforms and studies on collective action in tech contexts. He received the SIGCHI Outstanding Dissertation Award in 2024. Recent publications explore topics like AI ethics, governance of generative models, and Wikipedia's role in content ecosystems. He actively participates in policy discussions through media engagements and conference talks, advocating for public-oriented AI development.

• Applied Economics
• Econometrics
• Labour Economics
• +۶ مورد دیگر

Assoc Prof Haoming Liu is an Associate Professor in the Department of Economics at National University of Singapore. His research focuses on applied economics, econometrics, and labor economics, with a particular emphasis on labor and demographic economics, health, education, and welfare, as well as economic development and technological change. His work often examines the intersections between environmental factors (e.g., heat, pollution) and economic outcomes, such as labor productivity, crime rates, and educational attainment. He has also contributed to studies on minimum wage policies, housing markets, and fertility-education trade-offs in developing economies. Education: PhD in Economics from the University of Western Ontario, Canada. Research highlights include analyzing the impact of heat on economic activity in tropical cities like Singapore, the effects of air pollution on labor productivity in China, and the role of discount rates in long-term housing market decisions. His teaching interests span labor economics, income distribution, and applied econometrics. Key contributions include demonstrating how heat influences workplace attendance and student performance in air-conditioned versus non-air-conditioned environments, and how minimum wage increases reduce urban crime disparities between low- and high-income communities. His articles frequently employ innovative econometric methods to address policy-relevant questions, such as optimal contest design, microgrid energy trading mechanisms, and urban density pricing in housing markets.

• Distributed Algorithms
• Programmable Matter
• Bio-inspired Algorithms
• +۵ مورد دیگر

Andrea W. Richa is a President's Professor at Arizona State University (ASU), holding positions in the School of Computing and Augmented Intelligence (SCAI), Barrett Honors College, and multiple research centers including the Biodesign Institute's Center for Biocomputing, Security, and Society. She specializes in distributed algorithms, programmable matter, and bio-inspired computing. Richa has led major research initiatives, including a DoD MURI award and an NSF CAREER Award, and has delivered keynote speeches at top conferences like DISC and LATIN. Her work focuses on self-organizing particle systems, wireless networks, and algorithmic foundations of active matter. Educations: PhD (Computer Science, Carnegie Mellon University, 1998), M.S. (Computer Science, Carnegie Mellon University, 1995), B.S. (Computer Science, Federal University of Rio de Janeiro, Brazil, 1989). Research Interests: Distributed algorithms, programmable matter, bio-inspired systems, wireless communication models, graph algorithms, combinatorial optimization, and resource allocation. She leads the Self-Organizing Particle Systems Lab and is part of SCAI's Theory and Algorithms group. Awards: 2024 ASU Mentorship Award, 2021 Mentor of the Year, 2017 SCAI Research Excellence Award, NSF CAREER Award (1999), and multiple grants including DoD MURI. Her research spans theoretical and applied domains, with over 150 publications in top venues. Grants: Current DoD MURI funding (2019-25), NSF awards on Markov chain algorithms and active matter (2021-25), and prior funding on programmable matter (2014-2017). Labs/Teams: SOPS Lab (sops.engineering.asu.edu), contributing to interdisciplinary research in algorithmic matter and bio-inspired systems.

• Ungulate Ecology
• Wildlife Biology
• Habitat Selection
• +۵ مورد دیگر

Mark Hebblewhite is a Professor in Ungulate Ecology at the Wildlife Biology Program, University of Montana. His research integrates ecological theory with applied wildlife management, focusing on species like elk, wolves, and grizzly bears. Institution: University of Montana Academic Rank: Professor Research Interests span: Wildlife-habitat interactions Predator-prey dynamics Conservation of endangered species Remote sensing for forest and wildlife monitoring Climate change impacts on ecosystems Recent Publications emphasize: Multi-scale movement ecology Remote sensing integration for forest inventory Anthropogenic effects on wildlife behavior Fire ecology and post-disturbance recovery LiDAR and satellite-based vegetation mapping Collaborations include researchers from the University of Alberta, University of British Columbia, Colorado State University, and the Wildlife Conservation Society.

Ben Liمشاهده پروفایل

دانشیار

• Combinatorics
• Theoretical Computer Science
• Combinatorial Design Theory
• +۸ مورد دیگر

Ben Li is an Associate Professor in the Department of Computer Science at the University of Manitoba, Faculty of Science. His research focuses on combinatorics and theoretical computer science, including combinatorial design theory (e.g., Steiner triple systems, BIBDs, difference sets), graph theory, and algorithm design for combinatorial optimization problems. He also explores approximation algorithms for NP-Hard problems and subclasses of such problems with polynomial solutions. Dr. Li teaches a wide range of courses, including COMP 1010 (Introduction to Computer Science), COMP 2080 (Analysis of Algorithms), and advanced graduate courses like COMP 7720 on approximation algorithms and combinatorial optimization. His academic contributions span both theoretical computer science and interdisciplinary archaeological studies, as reflected in his publications. His recent work includes studies on ostrich eggshell beads' role in prehistoric social networks, archaeological site analysis in southern Africa, and medical education reforms in Canada. While his primary research aligns with computer science theory, his published articles also highlight interdisciplinary interests in anthropology, archaeology, and healthcare policy.

Benno Liebchenمشاهده پروفایل

استاد

• Soft Matter Physics
• Active Matter
• Colloidal Systems
• +۳ مورد دیگر

Prof. Benno Liebchen holds a faculty position at the Technische Universität Darmstadt within the Institute for Condensed Matter Physics , part of the Faculty of Physics. He leads the Liebchen Group , dedicated to advancing research in the Theory of Soft Matter , focusing on active matter, colloidal systems, and non-equilibrium phenomena. His work explores collective behavior in self-propelled particles, phase transitions in active fluids, and adaptive strategies in smart materials. Research Interests include: Active matter dynamics and pattern formation Non-equilibrium statistical mechanics Biophysical systems and biomimetic design Computational modeling of soft matter Recent publications highlight breakthroughs in intelligent active particles , self-reverting vortices , and motility-induced phase coexistence . His lab develops tools like the AMEP Python package to analyze active systems. Teaching responsibilities include advanced modules in soft matter physics. Collaborative projects involve interdisciplinary approaches to microswimmer behavior and machine learning-driven optimization of collective systems. Contact: +49 6151 16-24509 / Office: S2|04 104