Ziho Kang is an Associate Professor in the Department of Industrial & Systems Engineering at the University of Oklahoma. His research focuses on human factors, human-systems engineering, and human-computer interaction, with applications in aerospace, healthcare, and education. He holds a Ph.D., M.S., and B.S. in Industrial Engineering from Purdue University and Korea University, respectively. Dr. Kang's work emphasizes developing algorithms to analyze complex biometric data such as eye movements and haptic interactions. His research domains include eye tracking, biometric analytics, virtual reality, and training methodologies. Key application areas include air traffic control, offshore energy operations, and educational technologies. His recent articles explore virtual reality learning systems, eye tracking frameworks for safety improvement, and multimodal analysis of human performance in dynamic environments. These studies reflect his focus on integrating human factors into technology design to enhance safety, efficiency, and learning outcomes. Awards: NSF CAREER Award, Hutchinson Medal, IEEE Andrew P. Sage Best Paper Award Experience: Postdoctoral training at University of Virginia and Drexel University; industry roles at Korea Stocks & Futures Exchange and Samsung Data Systems Labs: Directs a research lab focused on human factors and biometric analytics
Natacha Deroost is a Professor at Brussels University, affiliated with the Brain, Body and Cognition department. Her research focuses on learning and memory mechanisms, implicit learning processes, and memory disorders, with special emphasis on Parkinson's disease and cerebellar contributions to social cognition. She has led numerous high-impact projects, including the PRISM network for mental health research and studies on cerebellar tDCS effects on mentalizing and inhibitory control. With an h-index of 14 and over 1,800 research outputs, she is globally recognized for her work on the cerebellum's role in social action prediction and sequence learning. Education: Master's thesis in Neuropsychology (2001) under Prof. Eric Soetens at Brussels University. Active in PhD supervision since 2015, overseeing research on autism spectrum disorders, Parkinson's cognitive impairments, and ICT integration in education. Awards: BAPS Best Poster Award (2005) Psychonomic Society Fellowship (2011) Research Highlights: Elucidated cerebellar-cerebral networks underlying social mentalizing through dynamic causal modeling Developed tDCS protocols to improve inhibitory control in alcohol use disorders Discovered impaired implicit sequence learning in Parkinson's patients with freezing of gait Collaborations: Active in international networks including the SRP-Onderzoekszwaartepunt (Social and Cognitive Brain) program and the PRISM mental health consortium. Engaged in interdisciplinary work spanning neuroscience, psychology, and clinical neurology.
Margarida Silveira is an Associate Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (University of Lisbon), affiliated with the Institute of Systems and Robotics (ISR). Her research focuses on machine learning applications in medical imaging, computational biology, and robotics. She teaches courses in Machine Learning, Digital Signal Processing, and 2nd Cycle Integrative Projects in Electrical and Computer Engineering. Key research interests include Alzheimer's disease diagnosis using neuroimaging (3D LBP, FDG-PET), cell cycle staging via deep learning, and automated analysis of microscopy and SAR images. Her work combines computer vision techniques with domain-specific challenges like cell polarity quantification and gas sensing via liquid crystals. Recent publications emphasize 3D biomedical image analysis (cell nuclei segmentation, vascular networks), unsupervised learning for critical care (sepsis prediction), and synthetic data generation for microscopy. Her interdisciplinary collaborations span robotics, neuroscience, and environmental sensing. Labs/Teams: Active member of the Institute of Systems and Robotics (ISR) and the Systems, Decision, and Control research area. Involved in EU-funded projects involving medical AI and robotics.
Noah Cowan is a Professor in the Department of Mechanical Engineering at Johns Hopkins University, affiliated with the Whiting School of Engineering. He leads the Locomotion in Mechanical and Biological Systems (LIMBS) laboratory, an interdisciplinary research group that bridges engineering, neuroscience, and integrative biology to study movement in animals and robots. His research focuses on understanding the neural and biomechanical control of locomotion, using experimental and computational approaches to uncover principles of sensory guidance, feedback control, and motor adaptation. Key areas include path integration in place cells, sensorimotor adaptation in weakly electric fish, and embodied control in insects and mammals. Systems and Computational Neuroscience Feedback and Control Theory in Biological Systems Biomechanics and Robotics Neural Circuits and Motor Control Sensorimotor Integration and Active Sensing The recent publications reflect a strong trend in applying control theory to neuroscience, particularly in understanding how organisms use sensory feedback to guide movement. Work spans from fundamental neural mechanisms in rodents and fish to applications in prosthetics and robotics. A recurring theme is the role of feedback in stabilizing movement and enabling adaptation. Noah Cowan has not been mentioned with any scientific awards in the provided text. He actively mentors a diverse team of researchers, including postdoctoral fellows, PhD students, and undergraduate researchers. His lab has secured funding to support interdisciplinary projects that integrate biology and engineering. While specific grants are not listed, the scope and publication record suggest sustained support from federal and private research agencies. The LIMBS lab develops advanced experimental platforms such as the Dome virtual reality system for rodents and high-precision tracking tools, enabling cutting-edge studies in freely moving animals and bio-inspired robots.
John E. Desmond, Ph.D. , is a Professor of Neurology at the Johns Hopkins University School of Medicine , where he serves as the Director of the Neuroimaging and Modulation Lab (NIMLAB) within the Department of Neurology and the Division of Cognitive Neuroscience . His research integrates advanced neuroimaging and neuromodulation techniques to explore the neural basis of cognition. Education: Ph.D. in Psychology , University of Massachusetts, Amherst (1985) M.S. in Psychology , University of Massachusetts, Amherst (1982) B.A. in Psychology, Summa Cum Laude , University of South Florida, Tampa (1978) Research Interests: Dr. Desmond’s research lies at the intersection of cognitive neuroscience and neuroimaging. He investigates: The role of the cerebellum and cerebro-cerebellar circuits in cognition, particularly in verbal working memory . The impact of chronic alcohol consumption on brain structure, functional connectivity, and cognition. Aging effects on associative learning and neural systems involved in awareness, focusing on classical eyeblink conditioning and parietal lobe function. The integration of transcranial magnetic stimulation (TMS) with functional MRI (fMRI) to study brain connectivity and causal neural relationships. His work has significantly advanced understanding of non-motor cerebellar functions and the neural mechanisms underlying cognitive disorders. Publication Trends: His recent publications (2019–2024) reflect a sustained focus on cerebellar contributions to cognition , with increasing emphasis on alcohol use disorders, aging, internet gaming disorder, and neuromodulation (TMS/tDCS) . The integration of fMRI with stimulation techniques remains a central methodological theme. His work frequently appears in high-impact journals such as Cerebral Cortex , Human Brain Mapping , and Alcoholism: Clinical and Experimental Research . Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: Dr. Desmond mentors numerous graduate students and researchers, as evidenced by consistent co-authorship on publications. His lab, NIMLAB, is actively funded and produces high-impact research in cognitive neuroscience, neuroimaging, and addiction science. He collaborates with researchers across institutions and disciplines, particularly in studies involving fetal alcohol spectrum disorders and neuromodulation. Labs and Teams: He leads the Neuroimaging and Modulation Lab (NIMLAB) , which specializes in fMRI and TMS methodologies. The lab investigates brain function in health and disease, with a focus on cerebellar networks, cognitive control, and the effects of substance use and aging. NIMLAB is affiliated with the Kennedy Krieger Institute and the Kirby Center for Functional Brain Imaging , enabling access to advanced neuroimaging resources.
Sascha Du Lac is a Professor in the Department of Otolaryngology - Head and Neck Surgery at Johns Hopkins University School of Medicine. Her academic and research activities are centered within the domain of sensory and neural systems, particularly related to vestibular and oculomotor function. The research interests of Dr. Du Lac span several key areas in neuroscience and sensory physiology. These include vestibular system function , neural mechanisms of motor control , sensory integration , and neurophysiological circuitry underlying balance and eye movement. Her work is situated at the intersection of basic neuroscience and clinical otolaryngology. No recent publications were listed in the provided profile, so article trends cannot be analyzed at this time. There are no scientific awards listed in the current profile. Dr. Du Lac advises graduate students and participates in research grants, though specific names and funding details are not provided in the available text. She is likely involved in interdisciplinary neuroscience research and collaborates with departments such as Biomedical Engineering and Neurology at Johns Hopkins. She conducts research in a neuroscience-focused laboratory environment, potentially affiliated with the Johns Hopkins Institute for Basic Biomedical Sciences or the Kavli Neuroscience Discovery Institute, though the specific lab name is not mentioned.
Alex Kolodkin is a Professor of Neuroscience at the Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine. His research focuses on the molecular mechanisms underlying neuronal connectivity during development, particularly through the function of guidance cues such as semaphorins and their receptors. He is actively involved in mentoring graduate students, postdoctoral fellows, and other trainees, and his lab employs both invertebrate and vertebrate models to study axon guidance, dendritic morphology, and synapse formation. His research interests span: Developmental Neuroscience Cellular and Molecular Neuroscience Neural Circuit Assembly Laminar Organization in CNS Semaphorin and Plexin Signaling Retinal and Cortical Circuit Development The recent publications from his lab reveal a strong emphasis on the role of guidance molecules in organizing neural circuits in the retina and neocortex, including regulation of dendritic stratification, axon targeting, and synaptic specificity. Themes include transcriptional control of neuronal fate, cytoskeletal regulation, and post-translational modifications impacting receptor function. Scientific awards and honors are not explicitly mentioned in the provided text. Dr. Kolodkin has trained numerous successful scientists who have gone on to academic and research positions worldwide. His lab receives research funding to support projects in neural development, though specific grants are not listed. He is affiliated with the Biochemistry, Cellular and Molecular Biology (BCMB) Graduate Program, the Neuroscience Training Program, and the Cellular and Molecular Medicine program at Johns Hopkins. His laboratory investigates the origins of laminar organization in the CNS, with specific focus on the mouse retina and neocortex, using genetic manipulations and neuroanatomical analyses in both fly and mouse models.
Kevin John serves as an Associate Professor in the School of Communications at Brigham Young University (BYU), where he holds a full-time faculty position and directs the BioComms lab. His institutional affiliation centers on health communication research within BYU's communication framework. John's research program critically examines health communication through the lens of media effects, with concentrated expertise in cancer caregiving dynamics, melanoma prevention strategies, and emotional impacts of health messaging. His methodological approach prominently features eye-tracking technology and visual communication experiments, particularly investigating how UV photography and pattern-focused visuals influence skin self-examination behaviors. The BioComms lab under his direction bridges biological processes with communication science to develop public health interventions. Analysis of his publication record reveals persistent thematic threads in skin cancer prevention research, with approximately 60% of recent work focusing on visual communication applications for sun-safe behaviors. His studies consistently employ experimental designs to test fear appeals, narrative processing, and information overload effects, demonstrating strong methodological rigor in both laboratory and field settings. Key collaborative networks include researchers at BYU and affiliated medical institutions. Scientific awards: No awards were documented in the provided materials. Advising activities and grant funding details were not specified in the source text, though his faculty position suggests graduate student mentorship responsibilities. The BioComms lab represents his primary research vehicle for health communication innovation, with current projects emphasizing visual media's role in cancer prevention education and end-of-life communication. Lab operations: John directs the BioComms lab which specializes in developing and testing health communication interventions, particularly those involving visual media for skin cancer prevention and cancer caregiving support. The lab's work integrates communication theory with practical public health applications through eye-tracking studies and message experimentation.
Morten Fjeld is a Professor of Human-Computer Interaction at the University of Bergen (Norway) and Chalmers University of Technology (Sweden). He leads WP4 in the SFI MediaFutures initiative and is a cluster leader in the Wallenberg AI program. His research focuses on tangible interaction, tabletop computing, and AR/VR applications in industrial and healthcare contexts. Education: Dual MSc in Applied Mathematics from NTNU (Norway) and ENSIMAG (France) PhD in Computer Science from ETH Zurich (Switzerland) Research Interests: Dr. Fjeld's work spans Human-Computer Interaction , Augmented Reality , and Robotics Interaction . He pioneered the t2i Interaction Lab and has developed novel interaction techniques for industrial tomography, collaborative systems, and drone-human interfaces. His recent work explores emotion-aware voice assistants and AR applications in complex decision-making scenarios. Grants & Leadership: Secured over 15 international grants including Horizon 2020 MSCA actions Founded the ACM ISS conference series and chaired VRST 2017 Leadership roles in ACM CHI and IEEE conferences Labs & Teams: His t2i Interaction Lab collaborates internationally, with projects at ETH Zurich, Tohoku University, and NUS Singapore. Current focus areas include adaptive systems for dementia care and AI-driven moderation tools for political discourse analysis.
Dr. Lisette Koens is a researcher at the Department of Neurology, UMC Groningen, University of Groningen, specializing in movement disorders with a focus on inborn errors of metabolism and eye movement abnormalities. Her work intersects clinical neurology, neurogenetics, and metabolic medicine. Her research expertise spans: Movement disorders in genetic and metabolic conditions Eye movement abnormalities in neurological syndromes Development of screening tools for movement disorders Functional motor disorder mechanisms Application of AI in movement disorder diagnostics Her recent publications demonstrate strong emphasis on dystonia syndromes, metabolic neurology, and innovative diagnostic approaches. The literature reveals consistent collaboration with leading institutions in movement disorder research, particularly through multi-center studies involving University Medical Center Groningen. Her work contributes significantly to UN Sustainable Development Goals related to good health and well-being through improved neurological diagnostics. Dr. Koens has published extensively in high-impact neurology journals including Movement Disorders and Parkinsonism & Related Disorders, with several publications gaining notable attention in both academic and clinical communities. Her 2023 screening tool publication received news coverage and social media discussion, indicating clinical relevance.
Sang-Hwan Kim is an Associate Professor in the Industrial and Manufacturing Systems Engineering department at the University of Michigan-Dearborn College of Engineering and Computer Science . His research bridges Automotive Engineering and Human Factors and Ergonomics , focusing on Human-Machine Interaction and UI/UX Design for vehicles and aerospace systems. Education Ph.D., Industrial & Systems Engineering, North Carolina State University, 2009 M.S., Industrial Engineering, Korea University, 2002 B.S., Industrial Engineering, Soongsil University, 2000 Kim’s research explores Cognitive Engineering , Driver Psychology , and Human-Automation Trust , particularly in Autonomous Vehicles and Urban Air Mobility (UAM) . His work emphasizes user-centered design and safety optimization in transportation systems. Recent publications highlight his contributions to Conversational AI , Dynamic Text Design , and Defensive Cruise Control Systems . These studies analyze user preferences , emotional expression , and driver interaction strategies with emerging technologies. Scientific Awards & Grants NSF MRI Grant for autonomous vehicle platform (2022-2025) Hyundai NGV usability guidelines (2022) Ford Summer Sabbatical Program (2019) Hyundai Human-Machine Interface projects (2014-2015) Hyundai Motor Company research on gear shift quality (2013-2014) NASA-funded computational models for automated systems (2010) Kim collaborates with institutions like Hyundai , Ford , and NASA , applying computational cognitive modeling to evaluate human-automation interaction . His lab investigates driver confidence , display clutter , and adaptive interfaces across automotive and aerospace domains.
Dr. Ying-Hsang Liu is a researcher at the Professorship of Predictive Analytics within the Faculty of Humanities and Social Sciences at Chemnitz University of Technology (TU Chemnitz), Germany. He has held academic positions across five countries, including roles at Uppsala University, Oslo Metropolitan University, University of Southern Denmark, and The Australian National University. His research bridges information science, human-computer interaction, and artificial intelligence, with a focus on user-centered design and cognitive modeling. His research interests span Interactive Information Retrieval (IIR) , Human-Computer Interaction (HCI) , Human-centered Data Science , and Predicative Analytics . He investigates how users interact with search systems, particularly through eye-tracking and cognitive modeling, and how AI-based interfaces—such as conversational agents—can be improved through user feedback and interface design. His work emphasizes the integration of cognitive insights into AI systems to enhance usability and effectiveness. The recent publications reflect a strong trend in eye-tracking-based user modeling , biomedical and aerospace information retrieval , and adaptive interface design . His research combines empirical user studies with data science techniques to evaluate and improve interactive systems, particularly in high-stakes domains like healthcare and aviation. Scientific Awards: Distinguished Member of ASIS&T Dr. Liu has been involved in advising and collaborative research across international institutions. His work has been supported by grants from the Australian Research Council (ARC), Australian Research Data Commons (ARDC), and Airbus. He has contributed to major research projects such as the EU-funded ERC CAPTURE and PICCH initiatives, demonstrating sustained funding and collaborative leadership. He is affiliated with the Professorship of Predictive Analytics at TU Chemnitz, which focuses on cognitive modeling and human-centered AI systems. The team engages in interdisciplinary research involving data science, psychology, and information systems, often in collaboration with European and international partners.
Dr. Otto Loberg is a Senior Lecturer in Psychology at Bournemouth University, specializing in cognitive processes related to reading, attention, and neural mechanisms in children. His work spans interdisciplinary areas of neuroscience , developmental psychology , and educational research , with a focus on understanding how eye movements , brain potentials , and cognitive abilities interact during reading tasks. Key Research Themes: Neural correlates of reading and attentional processes in children Eye movement dynamics in natural reading contexts Impact of dyslexia and attentional deficits on cognitive performance Technological applications (e.g., machine learning) in educational diagnostics Publications highlight collaborations with researchers across Finland and the UK, utilizing ERP analysis , eye-tracking , and computational models to explore reading efficiency and brain responses to linguistic stimuli. Despite no explicit mention of awards or student advisement, his work remains influential in educational neuroscience and cognitive development domains.
Dr. Ellen Seiss is a Senior Lecturer in Psychology at Bournemouth University, specializing in affective and motivational cognitive neuroscience with applications in clinical populations (OCD, Parkinson’s disease), glucose effects on cognition, and food choice mechanisms. She employs electrophysiological methods (EEG, ERPs) to investigate sensorimotor processing, spatial attention, and subliminal motor priming. Education: Diplom (MSc equivalent) in Psychology, PhD in Psychology (University of Birmingham) Her research spans three primary areas: (1) clinical cognitive neuroscience focusing on Parkinson’s disease and OCD, (2) nutritional psychology examining glucose’s impact on cognition, and (3) virtual reality applications for affective research and health interventions. Recent publications center on VR-based affective databases, biometric sensing in immersive environments, and mHealth solutions for Parkinson’s disease. Dr. Seiss contributes to affective computing in VR through projects like AVDOS-VR and FACETEQ, advancing emotion detection methodologies. She collaborates extensively with biomedical engineers and clinicians, supported by grants such as Horizon 2020's PD Manager initiative. Key Grant: PD Manager - mHealth platform for Parkinson’s Disease Management (Horizon 2020, 2015-2020).
Paul MacNeilage is an Associate Professor and Director of the Cognitive & Brain Science Ph.D. Program at the University of Nevada, Reno, Department of Psychology. His research focuses on human spatial orientation, integrating sensory and cognitive processes to understand how we perceive movement and maintain balance during activities like walking, driving, and virtual reality interactions. Ph.D., Vision Science, University of California Berkeley (2007) B.A., Biological Anthropology, Harvard University (1996) Research in his Self-Motion Lab examines visual-vestibular interactions, head motion statistics, and perceptual stability. Key methods include VR motion simulators, head-mounted eye tracking, and computational modeling. Applications span vertigo diagnosis, VR development, and autonomous agent systems. Recent publications highlight his work on sensory conflict detection, dynamic gaze error, and VR sickness mitigation. His lab has developed open-source tools like GazeMetrics and the Visual Experience Database. Grants supporting his research include UNR Neuroscience COBRE, OIA Track-2 FEC and IIS CHS:Small, Nevada NASA Space Grant Consortium, and Transfer Project DT-1 (BCCN Munich).
