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Patrícia Oliveira-Silva is an Assistant Professor at the Faculty of Education and Psychology , Catholic University of Portugal, and a researcher at the Research Centre for Human Development (CEDH) . She directs the Human Neurobehavioral Laboratory (HNL) , fostering interdisciplinary research in cognitive and affective neuroscience.
پژوهشگر ارشد
Dr. Mandar Gogate is a Senior Research Fellow at the School of Computing Engineering and the Built Environment, Edinburgh Napier University. He actively contributes to the Centre for Artificial Intelligence and Robotics, focusing on multimodal signal processing and AI applications. Research Themes: Audio-Visual Speech Enhancement, Green AI, Data Privacy, Hearing Aid Technology, Climate Modeling Collaborations: Prof. Amir Hussain, Dr. Kia Dashtipour, Prof. Ahmed Al-Dubai His research explores audio-visual speech enhancement for hearing aids, leveraging deep learning and fuzzy logic. He investigates green AI techniques like neural network pruning for energy efficiency and develops privacy-preserving frameworks using thermal imaging. His work spans climate data analysis with partial least squares and underwater image enhancement via dimension decomposition transformers. Recent publications include 2026 surveys on ensemble malware detection and 2025 studies on cognitive load-driven speech enhancement . He has contributed to federated learning for market surveillance and multimodal hearing aid projects. As a second supervisor for Idrees Hasan's research on COG-MHEAR hearing aids, he mentors emerging scholars. His grants include £3.25M from EPSRC for the COG-MHEAR project (2021-2026) and £12k from Royal Society for multilingual speech enhancement studies. He works with the Centre for Artificial Intelligence and Robotics and Centre for Distributed Computing , integrating 5G-IoT systems into assistive technologies. His technical background includes compiler design, embedded systems, and wireless sensor networks from earlier projects like gesture mice and Hadoop-based rule mining.
Sławomir Kotyra, M.A., is a Lecturer at the Department of Neuroinformatics and Biomedical Engineering under the Faculty of Mathematics, Physics and Computer Science at Maria Curie-Skłodowska University (UMCS). His academic profile includes research in biomedical signal processing and neuroinformatics. Department: Neuroinformatics and Biomedical Engineering School: Mathematics, Physics and Computer Science Email: slawomir.kotyra@mail.umcs.pl Research interests focus on neurofeedback systems , EEG signal analysis , and SSVEP (Steady-State Visually Evoked Potentials) with applications in human-animal interaction and neural response measurement. His work spans hardware-software integration for Linux-based biomedical systems and data acquisition protocols. His publications address EEG in animal behavior studies , synchronized signal processing , and Linux-compatible neurophysiological software . Key themes include signal analysis, brain-computer interfaces (BCI), and comparative neurophysiology between trained/untrained dogs.
William N. Ross, Ph.D., is a Professor of Physiology at New York Medical College (NYMC), holding joint appointments in both the Graduate School of Biomedical Sciences and the School of Medicine. With a distinguished career spanning several decades, Dr. Ross has established himself as a pioneer in the field of neurophysiology, particularly in the development and application of optical imaging techniques for studying neuronal function. Dr. Ross received his Ph.D. in Physics from Columbia University, followed by postdoctoral training in Physiology at Yale University and Neurobiology at Harvard University. His educational background in high energy physics provided a strong quantitative foundation that he successfully transitioned to neuroscience research, where he has made numerous groundbreaking contributions. Dr. Ross's research focuses on the development and application of optical imaging techniques to study neuronal signaling, particularly in dendrites, axons, and spines. His laboratory was the first to apply voltage sensitive dye imaging to dendrites, to apply calcium imaging to CNS dendrites, and to use sodium imaging to examine neurons in slices. They pioneered high speed CCD imaging synchronized with electrical recording and were the first to describe Ca 2+ waves in dendrites and spontaneous Ca 2+ spark-like events. Most recently, his team has developed techniques for simultaneous imaging of sodium and calcium changes in extremely small neuronal structures like nodes of Ranvier and dendritic spines. Analysis of Dr. Ross's recent publications reveals a consistent focus on the development and refinement of optical imaging techniques for studying ionic dynamics in neurons. His work spans multiple scales, from molecular mechanisms of voltage indicators to cellular and subcellular signaling processes. The research demonstrates a progression from foundational studies of calcium signaling to increasingly sophisticated investigations of sodium-calcium interactions in specific neuronal compartments. This trend reflects both technological advances in imaging capabilities and a deepening understanding of the complex interplay between different ionic signals in neuronal computation. Grass Faculty Fellow, Marine Biological Laboratory (2007-2008) Dean's Distinguished Research Award - NYMC (1998) Fogarty Senior International Fellow (1993-1994, 1984-1985) Irma T. Hirschl Career Scientist (1981-1985) Dr. Ross has served on various committees including the TAP committee and as Chair of the Alternative Pathways committee at NYMC. His research has been supported by multiple prestigious funding mechanisms including Fogarty International Fellowships and the Irma T. Hirschl Career Scientist award, demonstrating sustained recognition of the significance and quality of his work by major funding agencies. Dr. Ross's laboratory has been at the forefront of developing and applying optical imaging techniques to study neuronal function. His group's work has consistently pushed the boundaries of what can be measured in living neurons, particularly in subcellular compartments like dendritic spines. The lab's technical innovations have enabled new discoveries about the role of calcium and sodium signaling in neuronal computation, with implications for understanding both normal brain function and neurological disorders.
Andrew S. Blum is a Professor of Neurology at Brown University, affiliated with Rhode Island Hospital (RIH) since 2000 as Director of the EEG Laboratory, Adult Epilepsy Division, and Co-Director of the Comprehensive Epilepsy Program. He previously held clinical roles at Beth Israel Deaconess Medical Center (BIDMC) from 1994–2000. Education: MD (1989) and PhD (1988) from Cornell University and The Rockefeller University, BA in Chemistry (Magna Cum Laude) from Yale University Dr. Blum’s research spans clinical epilepsy, focusing on psychiatric aspects of epilepsy, non-epileptic seizure diagnosis, anticonvulsant therapeutic development, and EEG/fMRI integration for seizure localization. His work bridges cognitive neuropsychology, neuropharmacology, and advanced neuroimaging. Key publications include studies on cognitive impairment in older epilepsy patients, spatiotemporal seizure dynamics via EEG-fMRI, and hormonal interactions with antiepileptic drugs. His research also addresses clinical challenges like oxygen desaturation during seizures and neurostimulation techniques. Howard Hughes Medical Institute Research Assistant (1980–81) MSTP Award (1982–89) Brown Dean’s Awards for Teaching Excellence (2002, 2005, 2006) Dr. Blum has contributed to epilepsy literature through book chapters, reviews, and foundational studies on neural development. He teaches pharmacology and neuroscience, directs epilepsy programs, and collaborates across neurology, psychiatry, and engineering disciplines.
Samantha J. Butler is an Associate Professor in the Department of Neurobiology at the University of California, Los Angeles (UCLA). Her research focuses on the mechanisms governing neuronal network formation during development, particularly the role of Bone Morphogenetic Proteins (BMPs) as morphogens and axon guidance signals. She investigates how intrinsic factors translate BMP signaling to control cell fate and axon guidance, and how these developmental processes can be harnessed for neural circuit regeneration in damaged or diseased nervous systems. Education: B.A. from Cambridge University, Ph.D. from Princeton University, Postdoctoral training at Columbia University Research Interests: Neuronal network development, BMP signaling, axon guidance, neural regeneration Funding: NIH, CIRM, Department of Defense, March of Dimes, Craig H. Neilsen Foundation, Jean Perkins Foundation
Andreas Schwerdtfeger is a Professor at the Institute of Psychology, University of Graz, Faculty of Natural Sciences. His research spans psychophysiology, health psychology, and emotion regulation, with a focus on cardiac autonomic function and interoception. Primary Affiliation: Institute of Psychology, University of Graz Research Networks: Brain and behavior Profile Area: Complexity of Life Research Interests include: Biobehavioral mechanisms of stress and creativity Cardiac interoception and metacognitive skills Attachment patterns in psychopathology Just-in-time adaptive interventions for health HRV as a biomarker for emotional states Psychophysiological correlates of safety perception Article Trends highlight interdisciplinary work bridging psychology with cardiology, including studies on: HRV-based stress detection algorithms Physical activity and cognitive performance Neural oscillations in interoceptive tasks Digital health interventions for emotional regulation Longitudinal health outcomes in chronic conditions Current affiliations indicate ongoing leadership in psychophysiological research and real-time behavioral health interventions.
پژوهشگر ارشد
Vahan Gevorgian is a Senior Research Fellow and chief engineer of the Power Systems Engineering Center at the National Renewable Energy Laboratory (NREL), where he has served since October 1994. His work focuses on advancing grid integration, control systems, and testing methodologies for renewable energy technologies, contributing significantly to U.S. energy security and resilience initiatives. Education: PhD in Electrical Engineering, State Engineering University of Armenia Master's in Electrical Engineering, Yerevan Polytechnic Institute Bachelor's in Electrical Engineering, Yerevan Polytechnic Institute Research Interests: Gevorgian specializes in grid integration modeling and control development for wind, solar, hydropower, and energy storage systems. His fingerprint analysis reveals dominant expertise in Wind Power Engineering (99%), Electric Power Plant Engineering (83%), and Renewable Energy Engineering (67%). Current work emphasizes neural network-based forecasting, inverterless grid-forming technologies, and machine learning for real-time grid stability. Publication Trends: Recent outputs (2024-2025) show concentrated innovation in hardware-in-the-loop validation of advanced control strategies, with increasing integration of machine learning for forecasting and grid services. Key themes include wind turbine synchronous operation, distributed solar deployment pathways, and neural network wind forecasting, reflecting strong industry-academia collaboration. Scientific Awards: NREL Hubbard Award NREL Outstanding Individual Staff Award NREL Outstanding Team Staff Award NREL Distinguished Member of Research Staff (2021) Leadership & Collaboration: As chief engineer, Gevorgian leads NREL's Power Systems Engineering Center in developing grid resilience solutions. His extensive external collaborations span 12+ international profiles, with recent projects in Argentina demonstrating practical applications for distributed solar deployment. The center maintains active partnerships with DOE and industry stakeholders for technology validation. Research Infrastructure: Gevorgian utilizes NREL's state-of-the-art power systems facilities including grid simulators, power hardware-in-the-loop test beds, and high-performance computing resources for renewable energy integration research, particularly focusing on wind and solar plant controls.
پژوهشگر
Patrik Vagovic is a Staff Scientist at the European XFEL GmbH, affiliated with the Center for Free-Electron Laser Science (CFEL), a collaborative research center between DESY, the University of Hamburg, and the Max Planck Society. He leads research in the Coherent Imaging Team, focusing on advanced X-ray imaging techniques using X-ray free-electron lasers. His work bridges the gap between fundamental physics and practical applications in materials science, biology, and fluid dynamics. Dr. Vagovic's research interests center around developing and applying cutting-edge X-ray imaging methodologies, particularly high-speed and phase-sensitive techniques. His work encompasses X-ray phase contrast imaging, coherent diffractive imaging, tomography, and advanced data processing methods. He has pioneered MHz frame rate X-ray imaging capabilities at the European XFEL, enabling unprecedented observation of ultrafast phenomena previously impossible to capture with conventional X-ray sources. Analyzing his recent publication record reveals a strong focus on pushing the temporal and spatial boundaries of X-ray imaging. His work demonstrates a consistent progression from developing fundamental imaging techniques to applying them to complex scientific problems across multiple disciplines. The research shows increasing sophistication in both hardware development (optical systems, detectors) and computational methods (phase retrieval, machine learning). Dr. Vagovic actively collaborates with international research teams across Europe and beyond, contributing to numerous high-impact publications in top journals including Optics Express, Journal of Synchrotron Radiation, and Nature Communications. His work on MHz X-ray microscopy has particularly advanced the field of time-resolved imaging of irreversible phenomena. As part of the Coherent Imaging Team at European XFEL, Dr. Vagovic works with state-of-the-art instrumentation including the SPB/SFX instrument, where he has developed pump-probe capabilities and advanced diagnostics for megahertz pulse trains. His research group utilizes advanced computational approaches alongside experimental innovations to solve complex imaging challenges.
Susanne Hoffmann is a Research Group Leader at the Max Planck Institute for Biological Intelligence since 2024. Her work focuses on neural mechanisms underlying natural vocal communication in songbirds and echolocating bats, pioneering extracellular neurophysiology in field research . 2016–2024: Research Scientist, Max Planck Institute for Ornithology (now Biological Intelligence) 2013–2015: PostDoc, Chair of Zoology, TU München 2009–2011: PostDoc, Division of Neurobiology, LMU München Her research integrates in-vivo neurophysiology , bioacoustics , and behavioral observation to study how animals process communication signals in dynamic social environments. Key projects include analyzing duet singing coordination, alarm calling neural circuits , and echolocation dynamics . Publications span journals like Nature Ecology & Evolution and Journal of Neurophysiology . Current advisees include PhD students Amira Sophia Syed Peer Mohamed , Lorenzo Micolucci , and Lisa Livancic . Collaborative work with Markus Abels , Sandra Kollmansperger , and Andries Ter Maat highlights her team's contributions to understanding interindividual motor control and neural feedback loops in social species.
Dr. Ryssa Moffat is a Lecturer in the Department of Humanities, Social and Political Sciences at ETH Zürich. Her research focuses on social neuroscience, cognitive science, and behavioral psychology, with an emphasis on interpersonal alignment, movement synchrony, and embodied cognition. She employs advanced neuroimaging techniques like functional near-infrared spectroscopy (fNIRS) to study neural mechanisms underlying social interactions, including dance coordination, peer influence, and human-robot interactions. Her recent work explores how mutual gaze and movement synchrony enhance social perception and enjoyment, as well as the cortical responses to vocal emotions. She also investigates how children perceive and interact with robotic companions, emphasizing the role of sentience attribution in educational settings. Key Research Areas: Interpersonal synchrony, embodied cognition, social perception, fNIRS neuroimaging, human-robot interaction. Techniques: Mobile neuroimaging, behavioral experiments, mixed-methods analysis. Ryssa's publications highlight trends in understanding implicit social coordination mechanisms and their neural underpinnings. She has contributed to studies on self-monitoring under peer observation, intergenerational synchrony, and the cognitive processing of vocal cues in emotion recognition.
استادیار
Weixian Liao is an Assistant Professor in the Department of Computer and Information Sciences at Towson University. His research focuses on big data analytics, cybersecurity, and networking in cyber-physical systems (CPS) and IoT. Dr. Liao holds a Ph.D. in Computer Engineering from Case Western Reserve University (2018), an M.S. in Electrical and Computer Engineering from Mississippi State University (2015), and a B.S. in Information Engineering from Xidian University (2012). His expertise spans secure edge intelligence, federated learning, adversarial machine learning, and IoT system resilience. Recent work includes surveys on AI model marketplaces, blockchain-empowered federated learning, and cybersecurity frameworks for smart energy systems. He has contributed to over 30 peer-reviewed publications in top journals/conferences such as IEEE Transactions and ACML. Research trends highlight his focus on interdisciplinary solutions blending machine learning with cybersecurity in critical infrastructure systems. His work emphasizes practical applications like disaster damage assessment via IoT search engines and resilient CPS design. Current projects explore edge computing security, federated learning incentives, and adversarial attack detection in distributed systems. No scientific awards or grants are explicitly listed in the provided materials. Dr. Liao’s lab focuses on advancing secure AI frameworks for IoT and CPS through innovative algorithm design and system architectures.
Andreas Steininger is an Associate Professor in the Department of Embedded Computing Systems at TU Wien. His primary research focuses on fault-tolerant computing, asynchronous logic, and dependable systems. He leads the Embedded Computing Systems group and serves as Director of the Curriculum Commission for Computer Engineering. His work emphasizes resilient hardware architectures, radiation effects in microelectronics, and timing domain interfacing. He has contributed to numerous projects with industry partners like Intel and TTTech Auto AG, addressing challenges in trustworthy autonomous systems and robust distributed algorithms. Key research interests include asynchronous circuits, clockless processors, and error detection mechanisms. He has over 50 publications in top-tier conferences and journals, including IEEE Transactions and ASYNC. Notable contributions include methodologies for mitigating single-event transients in QDI logic and fault-tolerant clock generation schemes. He teaches advanced courses in digital design, computer engineering, and scientific research methods. His projects span radiation-hardened ASIC design, metastability analysis in FPGAs, and secure IoT architectures. He actively collaborates with automotive and aerospace industries to develop solutions for embedded systems reliability. Recent work explores fault resilience in neural networks and energy-efficient asynchronous microprocessors.
Michael Harvey is a Lecturer in the Medicine Section at the Faculty of Science and Medicine, University of Fribourg. He holds a dual role as Technical Officer within the same section, focusing on academic and technical support. His research primarily centers on neurophysiological mechanisms, particularly the interplay between basal forebrain, thalamus, and cortical networks in regulating sensory processing and behavioral states. Dr. Harvey’s work emphasizes neural circuit dynamics, including optogenetic modulation of brain regions like the visual thalamus and basal forebrain. His studies explore how these areas govern attention, sleep architecture, and default mode network activity. Key topics include frequency-specific modulation of auditory cortex, temporal coding in somatosensory systems, and the role of ventral pallidum in transitioning between internal and external behavioral states. His publications span 20 years, with a focus on neural network regulation, thalamic gate control, and neurophysiological adaptations across species. While no formal awards are listed, his contributions to understanding cortical-laminar dynamics and optogenetic applications highlight innovative methodological approaches. No students or grants are explicitly mentioned in the provided information.
استادیار
Anyi Rao is an Assistant Professor at the Hong Kong University of Science and Technology (HKUST) where he leads the Multimedia Creativity Lab (MMLab@HKUST) and serves as Associate Director of the HKUST Media Intelligence Research Center. He received his Ph.D. from the Chinese University of Hong Kong and completed postdoctoral research at Stanford University. His research explores human-AI collaboration for creativity, focusing on understanding, editing, and creating art, media, and film. Research Interests: Rao's work centers on developing AI tools that enhance human creativity in visual media production. Key areas include: Controllable generative models for image and video synthesis AI-assisted cinematography and virtual production tools Multimodal understanding of films and creative content Human-AI collaborative workflows for artistic creation His research has produced influential tools like ControlNet and AnimateDiff used by industry leaders including Netflix and Amazon. Publication Trends: Rao's recent publications demonstrate a strong focus on diffusion models, controllable generation, and video understanding systems. His work consistently bridges technical innovation with practical applications in media production, showing increasing emphasis on real-time creative tools and filmmaker-AI collaboration paradigms. Awards and Honors: Forbes 30 Under 30 Asia (2025) Rising Star Award, World AI Conference (2024) Marr Prize (Best Paper), ICCV (2023) Magic Grant, Brown Institute for Media Innovation (2023) Hong Kong PhD Fellowship (2021) Academic Activities: Rao actively recruits students for his research group and has secured multiple grants including Amazon Video Research Fund and Tencent Rhino-Bird Grant. He organized the SIGGRAPH/CVPR Creative Visual Content Workshops and curated the Hong Kong AI Film Festival. He serves on program committees for major conferences including CVPR, ICLR, and SIGGRAPH Asia.
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