جست‌وجوی استاد و پژوهشگر

Michael Economoمشاهده پروفایل

استادیار

• Systems Neuroscience
• Motor Control
• Neural Circuits
• +۳ مورد دیگر

Michael N. Economo, PhD, is an Assistant Professor in the Department of Biomedical Engineering at Boston University. His research focuses on neural circuits controlling movement, leveraging cutting-edge optical, electrophysiological, and genetic tools. He holds affiliations with Neuroscience & Neuroengineering and Photonics & Optical Systems programs. Education: PhD in Biomedical Engineering from Boston University, B.S. Biomedical Engineering and B.A. Mathematics from Duke University. Research Interests: Systems neuroscience, motor control, long-range neural circuits, computational neuroscience, neurotechnology. His lab investigates how neural circuits across brain regions coordinate movement using advanced techniques like optogenetics, in vivo imaging, and transcriptomics. Key Projects: Orofacial motor control, voltage imaging with TICO microscopy, neural circuit dissection. Technologies: Neuropixels probes, fluorescent voltage indicators, single-cell RNA sequencing. Notable Awards: NSF CAREER (2023), Scialog Fellow (2023), Whitehall Foundation Young Investigator Award (2021). Advising & Grants: Supervises graduate students (e.g., Munib Hasnain, Jackie Birnbaum) and postdocs (e.g., Vicky Moya, Yujin Han). Lab members focus on motor planning, neuromodulation, and neural dynamics. Labs/Teams: The Economo Lab collaborates on neurotechnology development and integrates interdisciplinary approaches from engineering and biology. Affiliated with BU’s Graduate Program in Neuroscience.

Jens Krauseمشاهده پروفایل

استاد

• Behavioural Ecology
• Collective Intelligence
• Social Networks
• +۷ مورد دیگر

Jens Krause is a Professor and Head of Department at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) in Berlin, leading the Research Group on Mechanisms and Functions of Group-Living. He holds a full professorship in Fish Ecology at Humboldt-Universität zu Berlin, Faculty of Life Sciences, Thaer-Institute, and since 2018 has been an Adjunct Professor at Technical University Berlin within the Excellence Cluster 'Science of Intelligence'. His research is centered on collective intelligence, social networks, decision-making, and behavioural ecology in fish and other animals. Full Professor in Fish Ecology, Humboldt-Universität zu Berlin Adjunct Professor at Technical University Berlin (since 2018) Head of Department, IGB Berlin PhD, University of Cambridge Diploma, Free University Berlin His work integrates experimental biology, network analysis, and biomimetic robotics to understand how animals make collective decisions. His expertise spans animal behaviour, evolution, and ecological physiology, with a strong focus on group-living dynamics. Recent research explores group hunting, predator evasion, social foraging, and the impact of environmental stressors on collective behaviour. The analysis of his recent publications reveals a strong trend in understanding collective behaviour in fish, including escape waves, social foraging, group hunting in marlins and sailfish, and the use of robotic agents to study social integration. His interdisciplinary approach combines marine biology, physics, robotics, and data science to uncover the mechanisms behind collective intelligence in both animal and human systems. Editorial Board, Behavioral Ecology Editorial Board, Fish and Fisheries Executive Board, Excellence Cluster 'Science of Intelligence' Advisory Board, Bimini Biological Field Station Foundation He advises numerous PhD students and postdoctoral researchers, and leads major research projects, including 'Developing exploration behaviour' funded by the Excellence Cluster. His work has been supported by extensive collaborations across Europe and North America, and he frequently publishes in top-tier journals such as Nature , Science Advances , Proceedings of the Royal Society , and Current Biology . His lab employs cutting-edge methods including automated tracking, social network analysis, and interactive robotics to study animal groups. His research group, 'Mechanisms and Functions of Group-Living', is embedded within the Excellence Cluster 'Science of Intelligence', where they investigate collective cognition, social information use, and the role of individual differences in group performance. The team combines field studies with laboratory experiments and computational modelling to understand the evolution and function of collective behaviour across species.

• Artificial Intelligence
• Computer Gaming and Animation
• Computer Graphics
• +۴ مورد دیگر

Yingying Wang is an Assistant Professor in the Computing and Software department at McMaster University , where she joined in January 2022. Her research focuses on generating expressive animations for AR/VR applications and games through interdisciplinary approaches combining Computer Graphics , Artificial Intelligence , and Human Behavior Analysis . Education : Bachelor and Master degrees from Nanjing University , Ph.D. from University of California, Davis (2017) Her research explores: Generative models for human motion style transfer Physics-based motion simulation Audio-driven character synthesis Dance choreography for virtual characters Cartoon animation perception Conversational character gesture synthesis Markerless hand motion capture Recent publications focus on 3D hand pose estimation , motion style transfer , gesture-locomotion coordination , and personality perception in virtual agents . Key methodologies include deep learning , multimodal data analysis , and real-time animation systems . Scientific contributions recognized through: $240,000 Labarge Catalyst Grant in Mobility in Aging (interdisciplinary team award) US Patent 10,796,482 (3D hand pose estimation) US Patent 9,811,937 (gesture-locomotion coordination) Teaching includes graduate and undergraduate courses in Computer Animation (CAS 737), Computer Graphics (COMPSCI 3GC3/SFWRENG 3GC3), and Software Development (COMPSCI 2ME3). Research group actively recruits Ph.D. and Master's students in graphics + deep learning domains.

Matthew James Keelingمشاهده پروفایل

استاد

• Infectious Disease Modeling
• Mathematical Epidemiology
• Network Theory in Epidemiology
• +۵ مورد دیگر

Professor Matthew James Keeling is a distinguished academic at the University of Warwick, where he serves as Director of the Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research (SBIDER). He holds a professorship in the Department of Mathematics within the School of Science, specializing in mathematical modeling of infectious disease dynamics. His work bridges theoretical mathematics with practical public health applications, making significant contributions to epidemic prediction and control strategies. Professor Keeling's educational background includes a B.A. in Mathematics (1991), Master in Mathematics (1992), and PhD in Mathematical Modelling (1995). His career progression at Warwick shows steady advancement from Lecturer (2002) to Reader (2005) and finally to Professor (2007), supported by prestigious fellowships including the Royal Society University Research Fellowship (1998-2006) and Wellcome Trust Fellowship (1995-1998). His research focuses on mathematical models for infectious disease transmission, with particular expertise in network-based approaches to understanding how diseases spread through populations. Keeling has applied his modeling expertise to numerous outbreaks including the 2001 Foot-and-Mouth Outbreak, 2009 Swine flu pandemic, and most notably the COVID-19 pandemic. His work spans both human and animal diseases, covering pathogens such as influenza, measles, HPV, and various livestock infections. Analysis of Professor Keeling's publications reveals a strong emphasis on network theory applied to epidemiology, with significant contributions to understanding cattle movement networks, human social contact patterns, and spatial disease dynamics. His work consistently bridges theoretical mathematics with practical disease control applications, demonstrating how mathematical models can inform real-world policy decisions regarding vaccination strategies and outbreak control measures. Scientific Awards and Recognitions: Royal Society University Research Fellowship (1998-2006) Wellcome Trust Fellowship (1995-1998) Professor Keeling has been actively involved in advising government agencies during major disease outbreaks, including providing critical modeling input during the COVID-19 pandemic. His work on HPV vaccination cost-effectiveness directly influenced policy decisions regarding gender-neutral vaccination programs. He maintains an active research group focused on developing novel mathematical approaches to infectious disease modeling, with particular interest in household transmission dynamics and the impact of network structure on disease spread. The Zeeman Institute (SBIDER), which he directs, serves as a hub for interdisciplinary research connecting mathematical sciences with biological and medical applications.

• Phonetic variation
• Dialectal variation
• Paralinguistic variation
• +۵ مورد دیگر

Susanne Schötz is an Associate Professor of Phonetics at Lund University's Centre for Languages and Literature and a Researcher at the Lund University Humanities Lab. She is also the project manager for Cat-human communication research and a member of the LU Profile Area: Natural and Artificial Cognition. Her research focuses on phonetic variation in three main areas: dialectal variation in Swedish and other languages, paralinguistic variation related to age, emotion, attitude and health condition, and phonetic variation in human-animal communication, particularly cat-human communication. She has led several research projects including Melody in human–cat communication (Meowsic), Cat–Human Communication, and studies on Estonian Swedish and Swedish vowel articulation using articulography. Dr. Schötz teaches courses at the speech and language pathology and audiology programs at Lund University. Her work with cats has gained significant attention, including winning the Ig Nobel Prize in Biology in 2021 for research on cat-human communication. Her research output demonstrates strong trends in animal communication, particularly focusing on the acoustic properties of cat vocalizations and how humans perceive and interpret these sounds. She combines traditional phonetic analysis with innovative approaches to study cross-species communication, making significant contributions to both linguistics and animal behavior studies. Scientific Awards: The Ig Nobel Prize in Biology (2021) Årets Mäster (Master of the Year) (2020) Vetenskapssocieteten Lunds universitet (2016) Vetenskapssocieteten i Lund: Stipendium för betydande insats inom humanistisk forskning (2007) Dr. Schötz has supervised research projects and students in phonetics and human-animal communication. Her work has been supported by various research funds including MAW, SKK och Agrias forskningsfond, and the Pufendorf IAS. She is in charge of the articulographs in the Humanities Lab, which are essential for her research on speech production and articulation. She is actively involved in the Lund University Humanities Lab, contributing to its mission of interdisciplinary research in the humanities through her expertise in phonetics and communication studies.

• 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.

Michael Bodeمشاهده پروفایل

استاد

• Applied Mathematics
• Ecological Applications
• Conservation Biology
• +۶ مورد دیگر

Michael Bode is a Professor in the School of Mathematical Sciences at Queensland University of Technology (QUT). His research focuses on applying mathematical and computational methods to ecological and conservation challenges, particularly in marine ecosystems and coral reef management. He holds a PhD in Applied Mathematics from the University of Queensland. Research Interests: Professor Bode specializes in larval dispersal modeling, conservation prioritization, and the application of ecosystem models to real-world management scenarios. His work integrates disciplines like applied mathematics, statistics, and ecology to address issues such as coral reef resilience, invasive species control, and climate change impacts. Grants & Projects: Securing Antarctica's Environmental Future (2020) Conserving Coral Reef Fish and Sustaining Fisheries in the Anthropocene (2019) Tackling Pests Using Game Theory (2019) New Methods for Conserving Dispersing Species on Coral Reefs (2017) Awards: 2020 Fenner Medal (Australian Academy of Science) Eureka Prize finalist (2020) Australian Research Council Future Fellowship (2017) Labs & Teams: He leads the QUT Applied Mathematical Ecology Group (QUTAMEG), which develops quantitative tools for ecological and conservation problems. His work is published in journals like Conservation Biology , Nature Sustainability , and PLoS Biology .

• Artificial Intelligence
• Image Processing
• Electrical and Electronic Engineering
• +۴ مورد دیگر

Professor Maja Pantic is a Professor of Affective & Behavioural Computing at the Department of Computing, Faculty of Engineering, Imperial College London. Her research focuses on artificial intelligence, image processing, and audio-visual speech recognition. She leads projects in multimodal systems, including facial analysis, emotion recognition, and speech-driven animation. Affiliations include the AI for Healthcare initiative, the Artificial Intelligence Network, and the Machine Learning Network. Her work addresses challenges in real-time speech enhancement, cross-modal learning, and synthetic data generation. Recent publications emphasize advancements in audiovisual speech synthesis, lip-reading, and emotion-aware systems. She has contributed to datasets like KAN-AV and SEWA DB, advancing research in face analysis and affective computing.

• Statistical Inference
• Stochastic Processes
• Biomathematics
• +۵ مورد دیگر

Susanne Ditlevsen is a Professor at the Department of Mathematical Sciences , University of Copenhagen. Her research focuses on statistical inference for stochastic processes , mathematical modeling of physiological systems , nonlinear dynamics , neuroscience , and biomathematics . Research : She develops statistical methods for diffusion processes, hidden Markov models, and stochastic differential equations, with applications in biomedical data and marine mammal behavior. Teaching : Covers basic statistics, probability, stochastic processes, regression, and generalized linear models. Publications highlight her work on climate tipping points (2023, Nature Communications ), nonlinear neuronal systems (2017), and statistical ecology (2020). Her collaborations span Denmark, France, and international institutions.

Brendan E. Depueمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Neuroimaging
• Emotional Memory
• +۳ مورد دیگر

Brendan E. Depue, Ph.D., is an Associate Professor and Endowed Chair of Behavioral Brain Imaging and Neurobiology in the Department of Psychological and Brain Sciences at the University of Louisville. He also serves as an Affiliate Assistant Professor in the Department of Anatomical Sciences and Neurobiology. His research focuses on the neuroanatomical substrates of inhibitory and cognitive control, particularly within the prefrontal cortex (PFC), using neuroimaging techniques such as fMRI and structural MRI. Depue’s work explores emotional memory regulation, PTSD, anxiety, and decision-making processes. Depue earned his Ph.D. in 2009 from the University of Colorado at Boulder. His lab, the (N)euro(I)maging (L)aboratory of (C)ognitive, (A)ffective and (M)otoric Processes (NILCAMP), investigates how brain networks regulate cognitive, emotional, and motor functions. His research has identified key neural correlates of memory suppression in PTSD, structural covariance differences in depression, and gender-specific neural connectivity during emotion regulation. Recent publications highlight his exploration of fear learning mechanisms, neural networks underlying interoceptive awareness, and the translational potential of the bed nucleus of the stria terminalis in anxiety research. Depue’s interdisciplinary approach integrates clinical neuroscience with advanced imaging methodologies to address complex mental health challenges.

• Cellular Neuroscience
• Systems Neuroscience
• Behavioral Neuroscience
• +۳ مورد دیگر

Prof. Laura Busse is a Professor at Ludwig Maximilian University of Munich (LMU), leading the Research Group in the Department of Biology II, Division Neurobiology. She holds roles as a Regular Member of MCN, Full Member of GSN, and Deputy Head of the GSN Examination Board. Her research focuses on cellular and systems neuroscience, particularly investigating how contextual information influences visual perception through neural circuits in mice. Key areas include feedback mechanisms, behavioral state effects, and thalamocortical interactions. Her work employs advanced techniques like high-density extracellular recordings and optogenetics to study active behavior in rodents. Current students include Simon Renner, Gregory Born, and others. Recent research highlights include studies on corticothalamic feedback effects, thalamic spatial integration, and the role of pupil dynamics in neural activity. She leads the Vision Circuits Lab (https://visioncircuitslab.org), exploring how sensory inputs and brain states shape visual processing. Her articles reveal trends in understanding thalamocortical communication, adaptive sensory systems, and the biological basis of neural network models. She coordinates the SPP2411 project on cortico-subcortical loops, emphasizing interdisciplinary neuroscience.

Sabine Haenniمشاهده پروفایل

دانشیار

• American Cinema and Cultural Studies
• Intersections of Gender and Ethnicity in U.S. Popular Culture
• Transnational Cinema
• +۷ مورد دیگر

Sabine Haenni is an Associate Professor at Cornell University, affiliated with the Department of Performing and Media Arts and the American Studies Program. Her interdisciplinary research bridges cinema, media, and cultural studies, focusing on social issues, migration, and urban representation. Ph.D., The University of Chicago M.A., The University of Chicago Licence ès Lettres, University of Geneva Diploma in American Studies, Smith College Her research explores transnational cinema, the geopolitical role of Marseille in film history, and how cinema mediates migration. She has published extensively on topics like early 20th-century immigrant theaters, intermediality, and the aesthetics of urban spaces post-1968. Current projects examine Mediterranean film festivals and cinematic migration narratives. Her recent publications reveal a focus on urban aesthetics, migration studies, and intermediality, spanning silent films to contemporary documentaries. She contributes to journals like New German Critique and Mediapolis , emphasizing transnational public spheres and historical revisionism. At Cornell, she teaches courses on world cinema, migration in the arts, film festivals, and graduate seminars on film theory. She serves on the advisory board of Mediapolis and contributes to the Routledge Encyclopedia of Films .

• Population Ecology
• Biodiversity Dynamics
• Community and Population Dynamics
• +۳ مورد دیگر

Bernt-Erik Sæther is a Professor in population ecology at the Department of Biology, Norwegian University of Science and Technology (NTNU), and Director of the Centre for Biodiversity Dynamics (CBD), a Norwegian Centre of Excellence (SFF). His research focuses on integrating ecological and evolutionary processes, particularly in population and community dynamics. He has led major field projects on species like the house sparrow and elk, emphasizing stochastic influences on evolutionary change and population resilience. Education and Background: Sæther has held roles including Professor II at NTNU (20% since 1996), Senior Scientific Advisor at the Norwegian Institute for Nature Research (NINA), and researcher positions at the Directorate for Nature Management and Game Research institutes. His academic journey spans over four decades, with a PhD and early research in wildlife ecology. Research Interests: His work bridges population dynamics, climate change impacts, and conservation strategies. Key areas include density dependence, metapopulation dynamics, and eco-evolutionary feedbacks. He investigates how environmental stochasticity and human activities (e.g., harvesting) affect population stability and biodiversity. Awards and Recognition: He has received the Møbius Prize (2013) for outstanding research, an ERC Advanced Grant (2011–2016), and membership in prestigious academies like the Norwegian Academy of Science and Letters. His contributions to conservation science and ecological modeling are globally recognized. Professional Roles: Sæther chairs the Swedish Research Committee in Wildlife Research and serves on steering boards for environmental research initiatives like NORKLIMA and MISTRA. He advocates for sustainable land-use policies and improved biodiversity monitoring in Norway. Publications: Over 200 peer-reviewed articles, including seminal works on metapopulation ecology, climate-driven demographic shifts, and the evolutionary implications of stochastic processes. Recent studies highlight the effects of harvesting on population fluctuations and the role of telomeres in life-history strategies.

Etienne Bensonمشاهده پروفایل

استاد پژوهشی

• Environmental History
• History of Science
• Science and Technology Studies
• +۳ مورد دیگر

Etienne Benson is the Director of Department II (Knowledge Systems and Collective Life) at the Max Planck Institute for the History of Science in Berlin. His work bridges the history of science, environmental history, and science and technology studies, focusing on the political and scientific evolution of environmentalism in the U.S. and Europe since the 18th century. He holds a doctorate from MIT and has held academic roles at Harvard, the University of Pennsylvania (where he continues as a visiting professor), and the Rachel Carson Center. Education: Ph.D. in History, Anthropology, and Science, Technology and Society (MIT, 2008) Past Roles: Postdoctoral Fellow (Harvard), Research Scholar (MPIWG), Lecturer (University of Chicago, NYU-Berlin), Visiting Scholar (Rachel Carson Center) His research examines how scientific knowledge production intersects with environmental politics, data infrastructures, and conservation practices. Current projects include analyzing the rise of quantitative landscape science and the ethical/legal frameworks of biodiversity research. He has authored two influential books on environmental technologies and histories of data collection. Recent publications highlight the co-creation of scientific communities and data systems, from early 20th-century bird banding to modern animal movement repositories like Movebank. His work situates environmental science within broader socio-political contexts, emphasizing the role of data in shaping conservation policies and scientific identities. The department he leads, Knowledge Systems and Collective Life , collaborates with global institutions and hosts initiatives like the International Max Planck Research School. His team explores historical epistemologies of planetary modeling and the interplay between science, law, and ethics in biodiversity conservation, using archival and digital humanities methods.

Thomas K. Uchidaمشاهده پروفایل

دانشیار

• Biomechanics
• Dynamical Systems
• Musculoskeletal Modeling
• +۷ مورد دیگر

Thomas K. Uchida is an Associate Professor in the Department of Mechanical Engineering at the University of Ottawa, a position he has held since May 2024. Prior to this promotion, he served as an Assistant Professor at the same institution from October 2018 to May 2024. Before joining the University of Ottawa, Dr. Uchida was an Engineering Research Associate (April 2015-August 2018) and Simbios Distinguished Postdoctoral Fellow (July 2012-April 2015) in the Department of Bioengineering at Stanford University. Dr. Uchida's research focuses on the modeling and simulation of dynamic systems, with particular emphasis on human movement biomechanics. His work spans multiple areas including: Simulation-guided design of assistive devices for improving mobility Modelling musculotendon dynamics and energy expenditure Parameter identification and model reduction methods Impact and contact dynamics Development of computational tools for biomechanical analysis He is a co-author of the book "Biomechanics of Movement: The Science of Sports, Robotics, and Rehabilitation" published by MIT Press, and actively contributes to the development of OpenSim, an open-source software platform for modeling musculoskeletal systems and generating simulations of human and animal movement. His work on OpenSim was featured on the cover of PLoS Computational Biology. Dr. Uchida's recent publications demonstrate strong activity in biomechanics, robotics, and computational modeling. His work bridges engineering principles with biological applications, particularly in understanding human movement mechanics. Key trends include applying machine learning to gait analysis, developing enhanced spine models, analyzing human balance stability with time delays, and advancing musculoskeletal simulation techniques. As an academic advisor, Dr. Uchida currently supervises seven graduate students: Firas Baklouti (expected completion August 2025) Shahin Sharafi Kazem Alambeigi Jiawei Gao Yuzhen Yan Manuel Lucas De Oliveira Blake Scott Miller Dr. Uchida collaborates with research teams focused on biomechanics and movement science. His work with OpenSim places him within an international community of researchers developing computational tools for biomechanical analysis, connecting mechanical engineering with biomedical applications in sports, robotics, and rehabilitation.