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Sten GrillnerView profile

Professor

• Neurosciences
• Motor Control
• Neural Circuits
• +4 more

Sten Grillner is a Senior Professor at Karolinska Institutet's Department of Neuroscience, focusing on the cellular and evolutionary basis of motor behavior. His research integrates neurophysiology, computational modeling, and evolutionary biology to understand neural circuits controlling movement, with a focus on lamprey models and basal ganglia function. His work explores how motor systems evolved, including the role of pH-sensing neurons and the neural basis of action selection. Key research areas include: motor control mechanisms; evolution of vertebrate forebrain structures; modeling neural networks (e.g., striatum and spinal circuits); and the role of dopamine and other neuromodulators in behavior. His group's projects are funded by the Swedish Research Council, EU initiatives like the Human Brain Project, and Karolinska Institutet. Publications span over 50 years, with recent work on basal ganglia microcircuits, computational neuroscience frameworks, and evolutionary insights from lamprey models. His team's interdisciplinary approach bridges experimental and theoretical neuroscience, contributing to understanding both normal motor function and neurological disorders.

Gilad SilberbergView profile

Professor

• Neuroscience
• Basal Ganglia
• Sensory Processing
• +4 more

Gilad Silberberg is a Professor in the Department of Neuroscience at Karolinska Institutet, Stockholm. His research focuses on the functional organization of neuronal circuits in the basal ganglia and neocortex, particularly their roles in sensory and motor functions. He leads the Gilad Silberberg group, which employs electrophysiological, optical, and computational methods to study synaptic connectivity and microcircuit dynamics. Education: Docent (Associate Professor) at Karolinska Institutet (2011). Key research interests include striatal microcircuits, cortico-striatal pathways, and dopamine regulation. His work has been supported by grants from the Wallenberg Academy Fellowship (2012, 2017), Swedish Research Council, StratNeuro program, and EU Horizon 2020 (AND-PD project). Scientific achievements include identifying polysynaptic inhibitory pathways in the striatum, characterizing cortico-striatal sensorimotor interactions, and elucidating the role of astrocyte-derived neurons in striatal circuits. Awards include the Wallenberg Academy Fellowships for outstanding research contributions. Lab activities involve collaborations across multiple institutions, including Umeå University and Royal Institute of Technology. Ongoing projects explore bilateral sensorimotor processing, dopamine's impact on sensory integration, and the claustrum's role in functional modules. The lab also investigates mechanisms of bacterial brain invasion in meningitis and nicotine's effects on reward circuits. Key funding sources: Knut and Alice Wallenberg Foundation, Swedish Medical Research Council (VR-M), Hjärnfonden Key collaborations: StratNeuro Strategic Research Program, EU AND-PD consortium

Timothy ConstandinouView profile

Professor

• Bioelectronics
• Neural Interfaces
• Implantable Medical Devices
• +7 more

Timothy Constandinou is a Professor of Bioelectronics at Imperial College London and Director of the Next Generation Neural Interfaces (NGNI) Lab. He holds roles as Head of the Circuits & Systems Research Group and Group Leader at the UK Dementia Research Institute (UK DRI) Care Research & Technology Centre. His expertise spans microelectronics, neural interfaces, and biomedical devices, with a focus on neurological conditions like Alzheimer’s and Parkinson’s. Education: BEng and PhD in Electronic Engineering from Imperial College London (2001, 2005). Research Interests: Implantable neural interfaces, radar-based health monitoring, and bioelectronic interventions. His lab develops unobtrusive technologies such as in-ear hearables and UWB radar for dementia care. Key Projects: ENGINI: Next-gen implantable neural interfaces Tiresias: Low-cost radar systems for patient monitoring Mint Neurotechnologies Ltd: Spinout for translating neural interface research Lab Collaborations: Works with Imperial's EPSRC, NIHR, and Innovate UK. Current initiatives include circadian-locked DBS for Parkinson’s and radar-based sleep monitoring.

Mary M HayhoeView profile

Professor

• Vision
• Cognition
• Action
• +5 more

Mary M Hayhoe is a Professor and Director of the Center for Perceptual Systems at the University of Texas at Austin , affiliated with the College of Liberal Arts and Department of Psychology . She holds a Ph.D. in Vision Science from the University of California, San Diego. Teaches courses such as Seeing and Acting (UGS 302) and Introduction to Sensory-Motor Systems (PSY 394U) Research focuses on natural behavior analysis , visuo-motor coordination , and virtual reality applications , emphasizing real-world locomotion and gaze control Directs the Vision, Cognition, and Action Virtual Reality Lab , collaborating with Computer Science Prof. Dana Ballard Her work investigates how sensory inputs guide action in complex environments, with applications to clinical psychology and robotics. Recent awards include the 2022 Tillyer Award and 2017 Davida Teller Award . Research integrates eye tracking, motion capture, and virtual reality to study human behavior in naturalistic settings.

Nace GoldingView profile

Professor

• Sensory Systems
• Auditory Neuroscience
• Dendritic Integration
• +4 more

Nace Golding is a Professor and Director of the Institute for Neuroscience at the University of Texas at Austin, within the College of Liberal Arts and the Section of Neurobiology. He earned his Ph.D. from the University of Wisconsin-Madison and completed postdoctoral work at Northwestern University. His research focuses on understanding how sensory systems function and develop, particularly in the auditory system. Key areas include dendritic integration of synaptic inputs, ion channel regulation, and the neural mechanisms underlying sound localization. Research interests emphasize the role of dendrites in transforming synaptic activity into action potentials, with a focus on the mammalian auditory system. Techniques employed include dendritic patch-clamp recordings, optical imaging, and in vivo studies of auditory circuits. The lab investigates how ion channels and synaptic inputs shape neuronal responses critical for detecting sound features like intensity and temporal patterns. Current lab members include postdoctoral fellows (Catherine Connelly, David Haimes, Rebecca Voglweide) and graduate students (David Brown). Past trainees have gone on to roles in academia and industry. Golding has been at UT Austin since 2002 and actively mentors students across multiple programs, including the Interdisciplinary Life Sciences and Neuroscience graduate programs. Notable research contributions include studies on glycinergic inhibition in sound localization circuits, developmental changes in synaptic plasticity, and the role of serotonin in modulating spike activity. The lab also collaborates on genomic projects, such as sequencing the Mongolian gerbil genome to improve animal models for auditory research.

Joseph E. ShepherdView profile

Professor

• Explosion Dynamics
• Shock Waves
• Hypersonics
• +3 more

Joseph E. Shepherd is the C.L. "Kelly" Johnson Professor of Aeronautics and Mechanical Engineering at Caltech, specializing in explosion dynamics, shock waves, and hypersonic flows. His research examines extreme fluid mechanics phenomena through experiments and modeling, with applications to industrial safety, nuclear power, and aerospace systems. Professor Shepherd leads the Explosion Dynamics Laboratory, studying combustion, detonations, and fluid-structure interactions. His group has investigated high-profile accidents including the TWA Flight 800 crash and Fukushima nuclear disaster to improve safety protocols. Current work focuses on blast wave propagation, hypersonic flow physics, and energy conversion technologies. He currently advises graduate students in explosion dynamics and teaches courses in nonsteady gasdynamics.

Thanos SiapasView profile

Professor

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience
• +5 more

Thanos Siapas is a Professor of Computation and Neural Systems and Executive Officer for the same department at the California Institute of Technology (Caltech), within the Division of Biology and Biological Engineering. He holds a B.S., M.S., and Ph.D. from MIT (1990–1996). His academic journey at Caltech began in 2002 as an Assistant Professor, advancing to his current rank. His research focuses on network mechanisms of learning and memory, systems neuroscience, computational neuroscience, and neurotechnology. Key areas include hippocampal-neocortical interactions, neural circuit dynamics, and the development of advanced recording and analytical tools like multi-electrode arrays and the DataJoint framework. Siapas’s work combines experimental approaches—such as two-photon imaging and chronic recordings—with theoretical modeling to study how memories form and consolidate. He pioneers technologies like nanofabricated neural probes and wireless neural amplifiers for studying freely moving animals. His administrative role as Executive Officer reflects leadership in shaping interdisciplinary research and education in computation and neural systems. Publications highlight his contributions to understanding hippocampal ripples, UP-DOWN states, and dopamine signaling. Collaborations with engineers and neuroscientists underscore his translational focus, bridging basic research with neurotechnological applications. His lab’s innovations aim to decode neural circuit dynamics and advance tools for analyzing large-scale neuroscience data.

Anthony NorciaView profile

Research Professor

• Developmental Neuroscience
• Visual Perception
• Neuroimaging Techniques
• +3 more

Anthony Norcia is a Research Professor of Psychology at Stanford University, specializing in spatial vision and neurodevelopment. His work integrates behavioral, electrophysiological, and neuroimaging techniques to study normal and abnormal visual development in children and adults, with a focus on disorders like strabismus, autism, and cortical visual impairment. He leads the Stanford Vision and Neurodevelopment Lab, pioneering methods to combine fMRI and EEG source imaging for high-resolution brain activity analysis. Over 18 post-doctoral fellows have trained under him, with 14 securing faculty/research roles, while currently mentoring 3 post-docs and 3 graduate students. He has contributed to 12 Ph.D. thesis committees at Stanford. Research interests span computational neuroscience, decision-making, developmental approaches, and neuroimaging innovations. His lab’s advancements include novel paradigms using Visual Evoked Potentials and transcranial focused ultrasound neuromodulation. Recent work explores cortical plasticity in reading development and biomarkers for optic pathway disorders. Key contributions include defining binocular vision mechanisms, linking neural responses to perceptual judgments, and developing instrumentation shared across labs. His interdisciplinary team expertise spans functional MRI, biomedical engineering, and visual physiology.

S.E. FreemanView profile

Research Fellow

• Political Economies
• Racial Geographies
• Critical Environments
• +7 more

S.E. Freeman is a Research Fellow at Wesleyan University's Center for the Humanities (Fall 2024) and a PhD Candidate (ABD) in Geography at UC Berkeley with a Designated Emphasis in Science and Technology Studies. Their research explores categorization practices in humanitarian contexts, particularly how displacement is quantified through biometrics and geospatial technologies in South Sudan. This work interrogates the epistemological hierarchies shaping humanitarian interventions in an era of digital mobility. Education includes an M.A. in Anthropology from The New School for Social Research and a B.A. in Sociology and International Studies from Northwestern University. Freeman has held extensive fellowships, including the 2024 Charlotte W. Newcombe Fellowship and 2022 Social Science Research Council International Dissertation Research Fellowship. Research interests span political economies, racial geographies, and critical environments, with a focus on quantification, surveillance, and colonial legacies. Their work integrates queer and feminist STS frameworks to critique humanitarian data practices. Teaching experience includes roles as a Graduate Student Instructor in Geography courses at UC Berkeley (2020). Awards also include the 2021 Outstanding Graduate Student Instructor Award and multiple pre-dissertation fellowships from UC Berkeley's Center for African Studies. Awards highlight recognition for interdisciplinary scholarship, including the 2021 Wenner-Gren Dissertation Grant and 2018 Regents Fellowship. Their research bridges critical geography, science studies, and postcolonial theory to examine how technologies of measurement shape lives deemed 'worthy of saving' in global humanitarianism.

Maliha AshrafView profile

Researcher

• Human Visual Perception
• Color Science
• Image Processing
• +4 more

Maliha Ashraf is a researcher at the University of Cambridge's Department of Computer Science and Technology, focusing on human visual perception, color science, and display technology. Her work bridges psychophysics and computational models to advance understanding of contrast sensitivity and perceptual quality metrics. She holds a PhD from the University of Liverpool (2024) and an Erasmus Mundus Master's in Color Science (2018). Current roles include Research Associate under Prof. Rafał Mantiuk and Postdoctoral research in visual modeling for graphics applications. Education: PhD, University of Liverpool (2024); MSc, Erasmus Mundus Color Science (2018); BEng, NED University (2016). Awards include the MDPI ECR Prize (2024), Best Paper Awards at CIC 2022/2020, and a Meta Travel Award (2022). Research Interests : Contrast sensitivity modeling, perceptual quality metrics, color calibration, crossmodal perception, and applications in AR/VR displays. Her work combines experimental studies with computational models to predict human visual performance across diverse conditions. Publications focus on contrast sensitivity functions (e.g., castleCSF), perceptual metrics (ColorVideoVDP), and display optimization. She co-authored over 30 peer-reviewed papers and contributed to datasets like XR-DAVID for AR/VR artifact evaluation. Awards and grants include travel support from Meta and the Erasmus Mundus Scholarship. Active in conference organizing (CIC, SAP) and teaching roles at the University of Liverpool.

• Neurobiology
• Neuroscience
• Ophthalmology
• +3 more

Steven Andrew Barnes is a Professor-in-Residence at the University of California Los Angeles , affiliated with both the David Geffen School of Medicine and the departments of Ophthalmology and Neurobiology . His research focuses on Neurobiology , Neuroscience , and Molecular Physiology , with a strong emphasis on retinal function and cellular mechanisms. Education : BA & PhD in Neurobiology from UC Berkeley (1985) Research Interests : Barnes specializes in retinal neuroscience, investigating calcium signaling, neurotransmitter dynamics (e.g., GABA and dopamine), and ion channel modulation in photoreceptors and ganglion cells. His work bridges cellular neuroscience and ophthalmology , addressing mechanisms of visual processing and retinal disorders. Publications Trends : Recent studies highlight his contributions to understanding mitochondrial dysfunction in Leber's hereditary optic neuropathy , reactive oxygen species in retinal signaling , and transcriptomic analyses of retinal development . His work frequently employs electron microscopy , calcium imaging , and genetic manipulation techniques.

Chang LiuView profile

Senior Lecturer

• Laser Spectroscopy
• Tomography
• Data-Driven Imaging
• +3 more

Dr. Chang Liu is a Senior Lecturer in Electronic Engineering at the University of Edinburgh's School of Engineering. He received his B.Sc. in Automation from Tianjin University (2010) and Ph.D. in Testing, Measurement Technology and Instrument from Beihang University (2016). Following postdoctoral research at Empa-Swiss Federal Laboratories, he joined the Agile Tomography Group at Edinburgh. His research focuses on laser spectroscopy, laser imaging, and data-driven imaging techniques for applications in reacting flow-field diagnostics and environmental monitoring. Key specialties include design of near/mid-infrared LAS sensing systems, development of high-sensitivity imaging methodologies, spectroscopic modeling, inverse problem solving, and embedded system design. His publications demonstrate a consistent focus on advancing tomographic imaging techniques, with recent work emphasizing machine learning integration, hardware acceleration, and industrial applications in aero-engine monitoring. Research consistently addresses challenges in spatial/temporal resolution enhancement and real-time system implementation. Dr. Liu teaches courses in Digital System Design, Analogue Circuits, and Embedded Systems. He leads multiple research projects including EPSRC-funded initiatives on laser imaging of turbine engine combustion species. His team collaborates with industrial partners to develop cutting-edge laser-based sensing solutions.

• Quantum Physics
• Quantum Information Science
• Quantum Tomography
• +3 more

Egor Kovlakov is a Researcher at the Faculty of Science, University of Amsterdam, affiliated with the Institute of Physics (IoP). His research focuses on quantum physics, quantum information science, and the application of machine learning in quantum systems. Key areas include quantum tomography, spin qubit dynamics, and entanglement generation using parametric down-conversion. He explores experimental setups like optical dipole traps and adaptive shaping of pump beams to engineer quantum states. His work bridges theoretical and experimental quantum mechanics, with contributions to high-dimensional quantum systems, spatial Bell-state generation, and thermal light correlations. Recent studies emphasize optimizing quantum state estimation and process tomography through neural networks and compressive sensing techniques. Kovlakov's research also addresses foundational questions in quantum measurement theory and optical coherence phenomena. Education: Details not explicitly provided in source materials. His articles span experimental quantum optics, quantum computing, and machine learning applications, reflecting a multidisciplinary approach. No scientific awards or grants are listed in the provided data.

Clarissa WhitmireView profile

Senior Lecturer

• Neuroscience
• Biomedical Engineering
• Sensory Systems
• +3 more

Dr. Clarissa Whitmire is a Senior Lecturer in Electrical Engineering and Computer Science (EECS) at The University of Queensland (UQ) and a Senior Research Fellow at the Queensland Brain Institute (QBI). She leads a research group focused on understanding how somatosensory information is encoded across the neuraxis, particularly within thalamocortical circuits. Her interdisciplinary work bridges neuroscience and engineering, employing experimental and computational methods to study neural representations of sensory stimuli. Dr. Whitmire holds a B.S. in Biomedical Engineering from North Carolina State University and a Ph.D. from Georgia Institute of Technology/Emory University. After postdoctoral research at the Max Delbrück Center for Molecular Medicine, she established her lab at UQ in 2023. Her research explores nonlinear neural coding mechanisms, emphasizing the dynamic role of the thalamus. Key themes include temperature sensation, sensory integration, and the interplay between neural circuit states and signal timing precision. Publications span neuroscience, biomedical engineering, and optical imaging, reflecting her expertise in sensory systems and neural circuit analysis. She actively trains students in Honours and PhD programs, fostering interdisciplinary approaches to brain science. Labs: Whitmire Lab at QBI. Collaborations include work on three-photon microscopy and optogenetic neurocontrol, with a focus on advancing tools for in vivo neural recording and manipulation.

Habib AmmariView profile

Professor

• Applied Mathematics
• Mathematical Physics
• Medical Imaging
• +6 more

Habib Ammari is a Professor of Applied Mathematics at ETH Zurich, leading research in wave propagation, mathematical imaging, and metamaterials. He previously served as Director of Research at École Normale Supérieure in Paris. His academic journey includes a Bachelor's, Master's, and PhD from École Polytechnique (1992–1995), followed by a Habilitation from Université Pierre & Marie Curie (1998). Research Interests: Mathematics of subwavelength physics and metamaterials Bio-inspired imaging and neural natural intelligence Multiscale biomedical imaging and super-resolution techniques Publications: His work spans over 300 papers and 9 books, including seminal contributions to inverse problems, plasmonics, and imaging modalities. Recent research focuses on non-Hermitian skin effects, quantum integrable systems, and Anderson localization in subwavelength regimes. Awards and Fellowships: European Research Council Advanced Grant (2010) Kuwait Prize in Basic Sciences (2013) Khwarizmi International Award (2015) Fellowships: American Mathematical Society (2022), Academia Europaea (2021), European Academy of Sciences (2018) Advising: Supervised 40+ PhD students and 27 postdocs, many recipients of prestigious awards like the ETH Medal and ECCOMAS PhD Award. Labs and Collaborations: Active in international initiatives including CISM courses, NSF-CBMS conferences, and collaborations with institutions like Hong Kong Institute for Advanced Study and MSRI.