Isaac Kauvar is a Postdoctoral Fellow at the Department of Electrical Engineering, School of Engineering, Stanford University. He holds a B.S. in Engineering Physics specializing in Photonics, an M.S. in Electrical Engineering focusing on Imaging and Optimization, and is currently pursuing a PhD in Electrical Engineering under the co-advisement of Prof. Gordon Wetzstein. Education B.S. Engineering Physics, Stanford M.S. Electrical Engineering, Stanford His research bridges Neuroscience, Photonics, and Computational Modeling to develop advanced imaging and neural activity measurement technologies. Key contributions include optical brain-computer interfaces, light-field microscopy innovations, and neural circuit analysis across species. Recent publications highlight work in cortical imaging, emotional response modeling, and neurotechnology development. His expertise spans optical systems design, neural dynamics analysis, and brain state modulation. Contact: ikauvar@stanford.edu
Jonas Vinther is a Research Fellow at the Department of Computer Science , University of Copenhagen, specializing in Machine Learning and its intersections with quantum computing, medical data analysis, and sustainability. He is also an external PhD student in the Quantum Information Science & Technology program at the Niels Bohr Institute. Email: jonas.vinther@nbi.ku.dk , jonas.vinther@di.ku.dk Location: Universitetsparken 1, 2100 København Ø His research spans quantum machine learning , AI ethics , medical imaging , and environmentally sustainable AI , with recent publications on topics ranging from quantum neural networks to fairness in recommender systems . He contributes to the SCIENCE AI Centre and collaborates on initiatives like TreeSense for global tree resource monitoring.
Hugo Lewi Hammer er professor ved Oslo Metropolitan University, tilhørende Faculty of Technology, Art and Design og Department of Information Technology – Mathematical Modeling . Hans forskning fokuserer på forbedring av pålitelighet og transparens i maskinlæring, forsterkende læring og dyb læringsmodeller gjennom metodikk innen modelltolkning, usikkerhetskvantifisering, robust statistikk og kausal inferens. Hans nylige arbeid inkluderer: AI-drevet optimering i assistert reproduksjonsteknologi (embryoutvalg og sædcelleanalyse) Medisinsk bildebehandling (polypdeteksjon, meibomkertutgang) Neural nettverkstolkning og usikkerhetsmodellering i EEG-analyse Biomekanisk prediksjon av muskelutmatting Hans publikasjoner viser mangfoldige anvendelser av AI i medisin og teknologi, med spesialvekt på: Explainable AI (XAI) i diagnostikk og behandling Usikkerhetskvantifisering i dyb læring Automatisering av medisinske prosedyrer (ICSI, embryoanalyse) Stokastisk simulering og kausal inferens Hammer er engasjert i forskningsgruppene Applied Artificial Intelligence og Mathematical Modeling og har publisert over 130 vitenskapelige artikler og 7 forskningsrapporter.
Nicole Abaid is an Associate Professor in the Department of Mathematics at Virginia Tech, affiliated with the College of Science. Her research integrates dynamical systems, control theory, and robotics to study collective behavior in biological and engineered systems. She explores biologically-inspired models, such as bat swarms and brain networks, to develop applications in robotics and environmental monitoring. Her work combines agent-based modeling, network analysis, and data-driven approaches to understand interactions in animal groups and robotic systems. Notable projects include analyzing bat echolocation for acoustic sensing in robotics and studying stress effects in human crowd dynamics during emergencies. She has also contributed to piezoelectric energy harvesting and ex vivo muscle stimulation via Functional Electrical Stimulation (FES). Abaid’s research has been supported by grants like the NSF CAREER Award for collective behavior studies. She collaborates on interdisciplinary projects, including outreach programs in biomimetics and robotics for K-12 education. Her publications span journals and conferences, emphasizing applications in ecology, robotics, and control systems.
Erin J. Wamsley is an Associate Professor of Psychology at Furman University, where she directs the Furman Sleep Lab. She holds a PhD from City University of New York and completed postdoctoral training at Harvard Medical School. Her research focuses on cognitive neuroscience of sleep, memory consolidation, and dream experiences. Her work investigates how offline brain states during sleep and rest facilitate memory processing, with specific interests in EEG dynamics and neural mechanisms of dream generation. Research spans sleep-dependent memory enhancement, neural replay during rest, and cognitive processing in transitional sleep states. Publications demonstrate interdisciplinary approaches combining neuroimaging with behavioral studies. Recent work explores ultra-short offline states' impact on memory and meta-analytic relationships between dream content and memory systems. Awards & Grants: Secured over $1 million in research funding Research Team: Leads undergraduate researchers in the Furman Sleep Lab, fostering hands-on training in neuroscience methodologies.
Bo Wang is an active academic researcher primarily affiliated with multiple Chinese institutions, with strong connections to Tsinghua University, Beijing Jiaotong University, and other leading Chinese universities. His research spans artificial intelligence, machine learning, computer vision, medical image analysis, and intelligent control systems, demonstrating significant interdisciplinary work across computer science, engineering, and biomedical applications. Primary institutional affiliation: School of Computer Science and Technology at multiple Chinese universities Active research areas: AI/ML applications in healthcare, computer vision, federated learning, and intelligent control systems Extensive publication record across top-tier venues in multiple disciplines Wang's research interests focus on the intersection of artificial intelligence and practical applications. His work demonstrates strong expertise in developing novel machine learning architectures for medical image analysis, including applications in CT imaging, MRI, and sperm tracking. He has made significant contributions to federated learning approaches for large language models, sliding mode control systems, and molecular optimization frameworks. His research consistently bridges theoretical advances with practical implementations across healthcare, manufacturing, and environmental monitoring domains. Analysis of Wang's recent publications reveals a strong trend toward interdisciplinary AI applications, particularly in medical imaging and bioinformatics. His work on VAE-GANMDA for microbe-drug association prediction, ACE-QSM for accelerating MRI acquisition, and text-guided molecular optimization demonstrates innovative approaches at the intersection of AI and life sciences. Wang also maintains active research in industrial applications including digital twin technology for energy systems and robust scheduling approaches for multi-factory production. Notable research contributions include: FLFT: A Large-Scale Pre-Training Model Distributed Fine-Tuning Method with Federated Learning VAE-GANMDA: Microbe-drug association prediction model ACE-QSM: Accelerating quantitative susceptibility mapping using diffusion models Digital twin-empowered power consumption prediction systems Wang actively collaborates with researchers across China and internationally, with publications spanning computer science, engineering, medical imaging, and environmental science journals. His work demonstrates strong technical depth across multiple AI methodologies while maintaining focus on practical applications that address real-world challenges in healthcare, manufacturing, and environmental monitoring.
Weei-Chin Lin is a Professor at Baylor College of Medicine , affiliated with the Department of Medicine and cross-appointed to the Department of Molecular & Cellular Biology and Duncan Cancer Center . His research focuses on Cancer Biology , Molecular Biology , and Biochemistry , particularly mechanisms of DNA damage response, oncogenic pathways, and therapeutic targeting. Selected publications highlight work on TopBP1 in cancer, PARP inhibitors , EGFR regulation , and 14-3-3 proteins . Key themes include synthetic lethality , checkpoint control , ubiquitination , and metastasis mechanisms . Scientific awards include NIH grants, NIH BCO Study Section member (2025-2029) Cancer Center pilot awards Leukemia & Lymphoma Society Scholar (2006-2011) His work bridges translational oncology and molecular mechanisms , with clinical implications for chemotherapy resistance and novel cancer therapies .
Tirso Gonzalez Alam is a Lecturer in Psychology at Bangor University’s School of Psychology & Sport Science. He holds a PhD in Cognitive Neuroscience and Neuroimaging from the University of York (2020) and an MSc in Clinical Neuropsychology from the National Autonomous University of Mexico (2011). His research focuses on understanding how large-scale brain networks, particularly those involving semantic cognition and the default mode network, underpin complex behaviors like language comprehension and contextual decision-making. Key areas include hemispheric differences in semantic processing, functional connectivity gradients, and the interplay between perceptual and higher-order systems. Education: PhD in Cognitive Neuroscience (University of York, 2020); MSc in Clinical Neuropsychology (National Autonomous University of Mexico, 2011); BSc in Psychology (Anahuac Mayab University, 2005). Research employs fMRI, DTI, TMS, and computational modeling. He has secured funding through the National Council of Science and Technology (Mexico) and holds a UK Global Talent Visa. Research Interests: Semantic cognition, brain connectivity, hemispheric specialization, neuroimaging techniques (fMRI, MEG), and open science practices. Current projects explore metaphor comprehension, non-literal language processing, and discourse semantics using multivariate fMRI and naturalistic stimuli. He investigates how neural gradients influence post-stroke cognitive deficits and the structural basis of semantic control via white matter tractography. Scientific Awards: PhD Viva with no corrections (2020), Global Talent Visa (2021), leadership roles in Mexican neuropsychology initiatives. His work has been published in NeuroImage , Brain Structure and Function , and Imaging Neuroscience . Grants & Collaborations: ERC-funded FLEXSEM project (2023), collaborations with UCL (stroke research), CNRS (structural connectivity), and Queen’s University (visual-DMN pathways). Supervises PhD students in semantic cognition and language impairments. Labs/Teams: Active in the York Neuroimaging Centre and collaborates with global research networks. Engaged in open science initiatives, promoting data-sharing and reproducibility.
Christopher A. Knight serves as an Associate Professor in the Department of Kinesiology & Applied Physiology at the University of Delaware's College of Health Sciences, where he investigates neural control mechanisms in movement disorders and aging populations. Education Ph.D. in Kinesiology, University of Massachusetts, Amherst M.S. in Kinesiology, University of Massachusetts, Amherst B.S. in Biology, University of Connecticut, Storrs Research Focus : Dr. Knight's work centers on Parkinson's disease and aging effects on neuromuscular control, with emphasis on motor unit dynamics , exercise interventions for mobility improvement , and methodological innovations in force control measurement . His laboratory develops scientific foundations for exercise protocols targeting mechanical power enhancement in neurological populations through advanced biomechanical and neurophysiological approaches. Publication Trends : Recent work (2020-2024) demonstrates consistent focus on Parkinson's disease mechanisms, with recurring themes in motor segmentation analysis, force control deficits, and exercise-based interventions. His research bridges fMRI neuroimaging, biomechanical gait analysis, and neuromuscular electrophysiology across diverse populations including athletes, concussion patients, and aging adults. Awards No specific scientific awards documented in source materials Academic Leadership : Directs the Exercise Neuroscience Research Laboratory focused on neural control of powerful muscle contractions. Though not recruiting graduate students until Fall 2022, his mentorship extends through courses including KAAP 400 (Research Methods) and KAAP 651 (Neurophysiological Basis of Human Movement). Current research examines Parkinson's disease interventions through cycling protocols and motor control segmentation. Research Infrastructure : The Exercise Neuroscience Research Laboratory operates from the Tower at STAR facility, conducting studies on neuromuscular excitation patterns, force development dynamics, and exercise adaptations in neurological populations with emphasis on translating findings into clinical mobility interventions.
Martha Hotz Vitaterna is a Research Professor at Northwestern University and serves as Executive Director of the Center for Sleep and Circadian Biology. Her research focuses on mouse behavioral genetics, particularly the interplay between circadian rhythms, sleep, and mammalian health. She holds a PhD from Northwestern University and has extensive experience in genetic approaches to study health-related physiological processes. Her research interests include neurogenetics and brain-behavior relationships, with a specific emphasis on circadian rhythms, sleep architecture, and affective responses in mice. Key topics explored in her work involve the impact of circadian disruptions on gut microbiota, pregnancy outcomes, weight regulation, and voluntary physical activity. Publications highlight her contributions to understanding circadian clock genes like Clock and Csnk1e , as well as their roles in sleep-wake cycles and metabolic processes. Her studies often integrate genetic, molecular, and behavioral analyses in mouse models. Martha Vitaterna collaborates closely with researchers such as Fred W. Turek and Joseph S. Takahashi, advancing knowledge in chronobiology and its clinical implications. No formal awards or grants are explicitly listed, though her leadership at the Center for Sleep and Circadian Biology underscores her institutional contributions.
Christopher L. Asplund is an Associate Professor at the National University of Singapore (NUS), affiliated with the Department of Biomedical Engineering and Yale-NUS College. He serves as Head of Studies for Psychology at Yale-NUS and holds courtesy appointments in NUS Psychology, Institute for Digital Medicine (WiSDM), Centre for Sleep and Cognition, and Duke-NUS Neuroscience & Behavioural Disorders program. His research explores attentional control, consciousness, and the neural basis of cognition through behavioral experiments, fMRI, and EEG. Research Focus: Understanding attentional states and their modulation by surprise Investigating individual differences in attention, including ASD/ADHD Exploring surprise's role in learning and pain perception Developing digital therapeutics for cognitive training Examining how consciousness and intelligence emerge from neural networks Methodological Expertise: Behavioral experimentation, functional neuroimaging (fMRI, EEG), eye-tracking, and physiological measures.
Professor Manuchehr Soleimani is a Professor in the Department of Electronic & Electrical Engineering at the University of Bath, leading the Engineering Tomography Lab (ETL) since 2011. He specializes in AI-driven tomographic imaging techniques, including Electrical/Electromagnetic Tomography, X-ray CT, and Ultrasound Tomography. His research focuses on medical imaging, industrial process monitoring, and robotic touch sensing. He collaborates with CERN on projects like the TIGRE open-source software platform and leads Bath's educational initiatives, including the MSc in AI for Engineering and Design and the Robotics Engineering undergraduate program. His research interests span inverse problems, machine learning integration, and multi-modality tomography. Key applications include lung monitoring, industrial quality control, and medical diagnostics. Professor Soleimani has secured funding from Innovate UK, EPSRC, EU Horizon 2020, and industry partners. He serves on the Scientific Advisory Panel at the University of Cambridge and has supervised 31 doctoral/master’s students. His lab develops cutting-edge imaging systems, such as contactless EIT sensors and ultrasonic tomography for in-vivo imaging. Key Projects: AdvanCT (EU), TIGRE (CERN collaboration), and industrial tomography systems for steel casting and CO₂ capture. Publications: Over 378 peer-reviewed articles, with recent focus on AI-enhanced reconstruction algorithms and multi-frequency imaging. Scientific contributions include pioneering work in capacitively coupled tomography and tactile sensing systems. His work aligns with UN SDGs through innovations in health and sustainable industry practices.
W. Richard Staines is a Professor in the Department of Kinesiology at the University of Waterloo, Canada. He leads the Sensorimotor Integration and Neuroadaptive Plasticity (SINAPs) Lab, focusing on understanding how the brain processes and integrates sensory inputs to guide motor behavior, particularly in healthy populations and those recovering from brain injury. His work combines neuroimaging and neurophysiological techniques to study neural mechanisms underlying movement control and adaptation. Education : BSc in Human Kinetics from the University of Guelph PhD in Kinesiology from the University of Guelph Research Interests : His research explores sensorimotor integration, neuroplasticity, and the effects of brain injury on sensory-motor systems. Key areas include the role of aerobic exercise in enhancing neural plasticity, the impact of cannabis use on neurological conditions like multiple sclerosis, and the modulation of somatosensory processing in post-concussion recovery. Dr. Staines also investigates cerebellar contributions to motor adaptation and cortical reorganization post-stroke. Publications : His work spans over 130 peer-reviewed articles, including studies on cannabis abstinence effects, cerebellar modulation of motor activity, and the long-term impacts of concussion. Recent studies highlight the use of neuroimaging to map neural pathways involved in sensory gating and motor learning. Awards & Grants : While no explicit awards are listed, his extensive publication record reflects sustained research excellence. He has secured grants to support projects on neuroplasticity and rehabilitation strategies post-injury. Teaching & Supervision : Dr. Staines teaches courses in human anatomy, clinical neurophysiology, and neuroscience. He supervises graduate students in MSc and PhD programs, offering opportunities in his lab for thesis research, co-op placements, and postdoctoral fellowships. Labs & Teams : His SINAPs Lab collaborates with clinical and academic partners to advance translational research in neurorehabilitation and sensorimotor neuroscience.
Chiara Spironelli is an Associate Professor at the University of Padua, Italy. Her research focuses on cerebral plasticity in neurological patients, language lateralization using EEG, and electrophysiological correlates of emotional processing and visuo-spatial attention. She explores how empathy modulates emotional stimulus processing and investigates brain structural alterations in psychiatric disorders like schizophrenia and major depressive disorder. Her work integrates neuroimaging techniques (fMRI, EEG) to study functional connectivity, particularly between cognitive networks and the cerebellum. Key interests include gender differences in affective processing, the role of posture on brain activity, and the impact of mood induction tasks on neural responses. She has contributed to understanding linguistic reorganization in aphasia and the neurobiological basis of psychopathic traits. Publications emphasize EEG-based analyses of emotional responses, resting-state connectivity, and clinical applications in neuropsychiatric conditions. Her research highlights interdisciplinary approaches bridging cognitive neuroscience, clinical psychology, and neurology.
Chiara Begliomini is an Associate Professor at the Department of General Psychology, University of Padova. Her research focuses on neural mechanisms underlying action planning and execution, particularly using functional MRI (fMRI) to investigate motor control, handedness effects, and cerebellar contributions to cognition. She explores cognitive and motor functions across the lifespan, with a special emphasis on aging populations and neurological disorders. Her work integrates neuroimaging techniques such as VBM and DTI to study brain structure-function relationships. Key research topics include cerebellar laterality, the impact of cognitive reserve on neurodegeneration, and the neuropsychological consequences of post-COVID-19 infection. She also investigates behavioral and neural correlates of binge eating, impulse control, and sensorimotor integration in grasping movements. Publications highlight interdisciplinary approaches, combining fMRI with kinematic analyses and neuromodulation techniques. Her studies often address clinical populations, such as individuals with mild cognitive impairment, anorexia nervosa, and cerebellar hypoplasia. Her research portfolio reveals a strong focus on translational neuroscience, bridging basic science and clinical applications. Ongoing work explores cerebellar-cortical interactions, the role of handedness in motor networks, and the neurobiological basis of agency and intentionality.
