Find Academic Supervisors

• Artificial Intelligence
• Biomedical Imaging
• Machine Learning
• +4 more

Andrea Bizzego is an Assistant Professor in the Department of Psychology and Cognitive Science at the University of Trento. His research focuses on artificial intelligence applications in neuroscience, particularly using machine learning and signal processing techniques to analyze social interactions and neural data. His expertise spans neuroimaging methods like fNIRS, computer vision applications, and computational modeling of psychological phenomena. His research interests center on: Interpersonal neural synchrony during social interactions Motion artifact correction in fNIRS data Machine learning approaches to personality neuroscience Neurocomputational models of decision-making Cross-cultural differences in brain-to-brain coupling Bizzego's recent publications demonstrate a strong focus on developing novel neuroimaging methodologies and applying computational approaches to understand social cognition. His work frequently employs hyperscanning techniques to study dyadic interactions and develops algorithms to improve signal processing in neuroscience research.

• Pervasive Computing
• Mobile Healthcare Systems
• Machine Learning
• +7 more

Nikhil Yadav, Ph.D., is an Associate Professor in the Division of Computer Science, Mathematics and Science at St. John’s University, part of the Collins College of Professional Studies. His research focuses on ambient and mobile computing systems for mental health using machine/deep learning, Internet of Medical Things (IoMT), and Augmented Reality (AR). He co-founded a technology startup in speech biomarker analysis during his doctoral studies at the University of Notre Dame. Education: PhD in Computer Science & Engineering from the University of Notre Dame, and an MS in Computer Engineering from the University of Florida. Prior to academia, he worked in software engineering and consulting roles. Research emphasizes scalable psychophysiological systems linking physiological signals to cognitive stimuli. His teaching interests include Programming, Distributed Operating Systems, Data Mining, Artificial Intelligence, and Mobile Computing. He regularly serves on international conference program committees and has published in peer-reviewed journals/conferences. Office: St. Augustine Hall, Queens Room 2-098 | Phone: 718-990-7459.

Gareth LoudonView profile

Professor

• Creativity Studies
• Engineering Design
• Co-production
• +6 more

Gareth Loudon is a Professor of Creativity and Head of Programmes for the MA/MSc Innovation Design Engineering and MA/MSc Global Innovation Design at the Royal College of Art (RCA) , collaborating with Imperial College London. His roles include academic leadership, research innovation, and industry partnerships. He previously served as Associate Dean (Research) at Cardiff School of Art and Design and held senior roles at tech firms like Apple and Ericsson. A Chartered Engineer and Fellow of the Higher Education Academy, his expertise spans creativity models, inclusive design, healthcare innovation, and intercultural collaboration . Research Focus: Gareth explores creativity in interdisciplinary contexts, including healthcare, education, and creative industries. He investigates factors like psychophysiological states, cultural values, and organizational leadership that influence creativity. Projects include low-carbon housing design, rural healthcare in India, and user-centric design in FinTech. Grants & Awards: Secured funding from Innovate UK, AHRC, and Welsh Government for projects like embedding UCD in product development and enhancing teacher skills for the New Curriculum for Wales. Awards include recognition for designing the Advanced Chinese Input Suite and BuddySync communication device. Professional Ventures: Co-founded Centre for Creativity Ltd (creativity consultancy), Rikoset Ltd (protection products), and Light Minds Ltd (design research). His industrial experience includes pioneering handwriting recognition systems at Apple and commercializing speech technologies in Singapore. Labs/Teams: Leads RCA’s School of Design, contributing to research centers like the Helen Hamlyn Centre for Design. Engaged in global initiatives like the Korea Institute of Design Promotion’s Low Carbon Homes workshop .

Joy BhattacharyaView profile

Professor

• Creativity
• Music Psychology
• Neuroscience
• +5 more

Prof. Joy Bhattacharya is a Professor of Psychology at Goldsmiths, University of London, specializing in creativity, music cognition, neuroscience of flow states, and well-being. His research integrates cognitive psychology, neuroimaging techniques (EEG, MEG), and machine learning to explore creative processes, neural correlates of artistic experiences, and mental health applications. Research Interests: His work focuses on creativity evaluation (poetry, music), flow states in musicians, neurophysiological mechanisms of insight (Aha! moments), and biomedical applications like autism detection via neuroimaging. He also investigates cardiovascular-neural interactions and emotional intelligence 's role in creative performance. Recent Work Trends: Over 2023-2025, Prof. Bhattacharya has published extensively on: (1) poetic creativity metrics using behavioral and neural measures, (2) flow state neurophysiology in professional musicians, and (3) machine learning models for neurodevelopmental disorder detection. His studies often bridge art-science domains, combining EEG/MEG with behavioral experiments. Grants & Collaborations: While specific grants are not listed, his publications indicate interdisciplinary collaborations in music cognition, clinical neuroscience, and computational modeling. The Proto-Fuse Project (2016-2018) highlights applied creativity research with architectural design. Labs/Teams: Though not explicitly named, his work involves neuroimaging labs and interdisciplinary groups studying creativity and flow states.

Zheng Joyce WangView profile

Professor

• Communication Science
• Psychophysiology
• Cognitive Science
• +3 more

Zheng Joyce Wang is a Professor at the School of Communication , The Ohio State University, with continuous tenure since 2007. She directs the Communication and Psychophysiology Lab (CAPLab) and holds affiliations with the Center for Cognitive and Brain Sciences , Decision Science Collaborative , and Translational Data Analytics initiative. Research focuses on communication science integrated with psychophysiological methods (e.g., EEG, eye-tracking) to study decision-making, media effects, and cognitive processing. Active in interdisciplinary collaborations bridging communication, neuroscience, and data analytics. She currently serves as Associate Editor for the Journal of Communication (2018–present) and Computers in Human Behavior (2021–present). Scientific Awards: ICA Fellow (highest recognition in communication research) Led lab operations and contributed to translational data analytics leadership teams

• Cognitive Psychology
• Decision Making
• Individual Differences
• +3 more

Prof. Szymon Wichary is a faculty member at Jagiellonian University's Faculty of Philosophy, Institute of Psychology, where he directs the CogNeS Doctoral Studies program. His primary research examines the interplay between personality traits, emotional processes, stress responses, and decision-making strategies. Research focuses include: Biological foundations of individual differences in cognition Computational modeling of decision processes Neuroeconomic approaches to choice behavior Psychophysiological correlates of decision strategies He currently leads the OPUS 18 project 'Sources of rationality: the role of inhibition and its neural substrate in decision strategy use' (2020-2024). No publication analysis available due to missing article list.

Marc FredetteView profile

Professor

• Analysis of longitudinal data
• Prediction
• Biostatistics
• +7 more

Marc Fredette is a Professor in the Department of Decision Sciences at HEC Montréal. His roles include academic supervision of the Master of Science (MSc) - User Experience in a Business Context and the Short Graduate Program in User Experience. He is also a board member of Tech3Lab, a member of CIRRELT (Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation), and GERAD (Group for Research in Decision Analysis). Education: M.Sc. in Statistics from Université de Montréal and Ph.D. in Statistics from the University of Waterloo. Research interests focus on longitudinal data analysis, biostatistics, Bayesian statistics, and random effects models. His work also explores human factors, UX design, and neuroIS applications, including studies on pedestrian safety, multitasking with IT systems, gamification, and neurophysiological correlates of collaborative tasks. Recent publications emphasize IT-related multitasking effects, gamification in workplaces, and neurophysiological studies of collaborative tasks. He has been recognized for contributions to UX evaluation methodologies and neuroIS research. Supervision includes 3 PhD dissertations and 7 MSc theses, along with 18 supervised projects on data analysis and business applications. His teaching includes courses on database analysis and project-based data analysis. Labs/Teams: Active in Tech3Lab, CIRRELT, and GERAD, focusing on interdisciplinary research in decision sciences and user experience innovation.

Panos MavrosView profile

Assistant Professor

• Spatial Cognition
• Urban Planning
• Wayfinding and Navigation
• +4 more

Panos Mavros is an Assistant Professor of Applied Psychology, Design, and Digital Technologies at Télécom Paris, part of the Institut Polytechnique de Paris. He leads the INTERACT research team within the Economics and Social Sciences department, focusing on the intersection of design, behavior, and urban environments. His work integrates spatial cognition, psychophysiological methods like mobile EEG, and virtual reality to study human-environment interactions. Education: B.Arch. from National Technical University of Athens (Greece), M.Sc. in Digital Media from University of Edinburgh (UK), and Ph.D. in Advanced Spatial Analysis and Environmental Psychophysiology from University College London. Postdoctoral research at Singapore-ETH Centre's Future Cities Laboratory explored cognition-perception-behavior in urban settings. Research interests include spatial cognition, wayfinding, navigation, and the application of quantitative methods to user experience research. Current projects include the German-French DFG-ANR funded 'In-and-Out' project on indoor-outdoor spatial computing, and the SPACIOUS project on participatory urban design tools. Teaching covers courses on environmental psychology, architectural cognition, and digital urban planning. Supervises student research projects and maintains active collaborations with institutions like ETH Zurich and University of Münster. His lab develops tools for cognitive-grounded design, including architectural cognition cards and VR prototyping frameworks. Labs/Teams: INTERACT team (Télécom Paris), interdisciplinary collaborations with Future Cities Laboratory (Singapore-ETH Centre), and partnerships with Heatherwick Studio (London) for design cognition studies.

• Visual Attention
• Perception-Action Coupling
• Context Effects in Visual Perception
• +2 more

Prof. Dr. Anna Schubö is the Head and Professor of the Cognitive Psychophysiology Group at Philipps-Universität Marburg. She leads the Department of General and Biological Psychology within the Faculty of Psychology (Fb04). Her research focuses on visual attention mechanisms, perception-action coupling, and context effects in visual perception, with an emphasis on motor preparation and joint action coordination. Her work integrates neurophysiological methods (EEG/ERP), computational modeling, and behavioral experiments to explore how attentional processes interact with reward systems, learning, and cognitive control. She collaborates on major research initiatives like RTG 2271 ('Breaking Expectations') and the Collaborative Research Center TRR 135 ('Cardinal Mechanisms of Perception'). Recent studies investigate how feature contexts modulate attentional template switching, the role of selection history in attentional filtering, and reward-driven attentional guidance. Her lab also examines social and joint action contexts, showing how planned movements influence partners' visual search patterns. Publications span 30+ years with over 70 peer-reviewed articles in journals like Journal of Experimental Psychology , Neuropsychologia , and Scientific Reports . Advises doctoral candidates including Mustafa Zeyd Söyük and Aylin Hanne in RTG 2271. Labs: Cognitive Psychophysiology Group (Marburg), affiliated with TRR 135 and RTG 2271.

Cláudia Vanessa BritoView profile

Assistant Professor

• Distributed Machine Learning
• Privacy-Preserving Technologies
• Federated Learning
• +3 more

Cláudia Vanessa Brito is an Assistant Researcher at INESC TEC and an invited Assistant Professor at the University of Minho. Her research focuses on distributed machine learning, privacy-preserving technologies, and their applications in healthcare and genomics. She has contributed to projects like Green.Dat.AI and GreenHPC, addressing sustainable AI and energy-efficient systems. Her work integrates federated learning, trusted execution environments (TEEs), and storage optimizations to enhance data privacy in genomic studies and transportation systems. Collaborations include EU initiatives and national consortia like CENTRA. Key Projects: Green.Dat.AI (AI-driven data spaces), FranchetAI (sustainable mobility), GreenHPC (high-performance computing) Labs/Teams: High-Assurance Software Centre, INESC TEC Publications span journals like IEEE Access and ACM SAC, emphasizing interdisciplinary solutions for privacy, energy efficiency, and healthcare challenges.

SAURO LONGHIView profile

Professor

• Automation
• Robotics
• Control Systems
• +6 more

Prof. SAURO LONGHI is a Full Professor at the Department of Information Engineering, Faculty of Engineering, Polytechnic University of Marche. His research focuses on robotics, control systems, industrial automation, and AI-driven solutions for manufacturing and cyber-physical systems. He specializes in fault-tolerant control, predictive maintenance, human-robot collaboration, and autonomous systems resilience against cyber attacks. His work bridges theoretical advancements with practical applications in Industry 4.0, smart manufacturing, and ambient assisted living. Key research interests include: Development of collaborative robotics for industrial processes Real-time anomaly detection using edge AI frameworks Resilient control architectures for UAVs and autonomous vehicles Integration of digital twins for assembly line optimization Psychophysiological interfaces for assistive robotic systems Recent publications highlight advancements in: ISO-compliant human-robot co-transport systems Lightweight neural networks for edge-based anomaly detection Cybersecurity for quadrotor drones Predictive maintenance frameworks using energy data He leads projects like Health@Home , developing smart sensor networks for elderly care. His work emphasizes human-centric design principles in automation technologies.

Lucia PePaView profile

Researcher

• Telemedicine and Telerehabilitation
• Parkinson's Disease Rehabilitation
• Medical Technology
• +5 more

Prof. Lucia PePa is a Researcher at the Faculty of Engineering of the Polytechnic University of Marche. Her work focuses on innovative technologies for neurological rehabilitation, particularly Parkinson's disease (PD), leveraging telemedicine, wearable devices, and machine learning. She specializes in developing low-cost tele-rehabilitation systems and AI-driven solutions for symptom monitoring and outcome prediction. Her research integrates interdisciplinary approaches, including cybersecurity for IoT healthcare systems, emotion recognition through physiological signals, and real-time stress detection via computer interaction patterns. She has contributed to projects like RAPIDO and PREPARE, advancing personalized rehabilitation strategies using AI-based patient stratification. Key areas include: telerehabilitation architecture design, wearable sensor data analysis, and clinical trial methodologies for PD interventions. Her publications span from gait analysis using smartphones to ethical considerations in federated learning for healthcare data.

Matt Miller-DicksView profile

Associate Professor

• Visual Control of Movement
• Mobile Eye Tracking Technology
• Sport and Exercise Science
• +3 more

Matt Miller-Dicks is an Associate Professor in Skill Acquisition at the University of Portsmouth’s School of Psychology, Sport and Health Sciences. He leads the Research Theme in Culture, Behaviour, Inclusivity, and Governance within the school and is a member of the Centre for Interaction, Development and Diversity. His academic career includes roles as a Lecturer at the German Sport University Cologne and postdoctoral work at VU University Amsterdam, alongside visiting professorships in France. He holds external examiner roles at Brunel University London and London South Bank University. Miller-Dicks’ research focuses on visual control of movement in natural environments, leveraging mobile eye-tracking technology to study perception-action adaptation across domains like sport, health, and safety. His work has been applied to enhance decision-making in sports like football and rugby, as well as in public safety contexts. He has published over 50 peer-reviewed articles, edited two books, and delivered over 40 keynotes. His research projects include studies on perceptual-motor control, youth-led recreational space development, and psychophysiological stress in coaches. Grants include leadership on initiatives like the ‘Empowering youth to lead the (re-)development of recreational spaces’ project (2023–2026). He collaborates internationally, with active networks in France, the Netherlands, and New Zealand. Miller-Dicks’ expertise spans sport science, experimental psychology, and applied research, with a focus on translating findings into practical training frameworks. His work contributes to UN Sustainable Development Goals related to health and well-being (SDG 3) and quality education (SDG 4), emphasizing skill acquisition and inclusive governance in sport.

Tom YehView profile

Associate Professor

• Computer Science
• Artificial Intelligence
• 3D Printing
• +5 more

Tom Yeh is an Associate Professor in the Department of Computer Science at the University of Colorado Boulder. He received his PhD from MIT studying vision-based user interfaces, completed postdoctoral research at the University of Maryland Institute for Advanced Computer Studies (UMIACS), and joined CU Boulder in 2012. His research is funded by NSF and DARPA. Yeh's interdisciplinary research spans: Human-centered AI : Developing ethical frameworks for AI in education and global contexts Accessible technology : Creating tactile interfaces and 3D printing solutions Cross-domain applications : Applying computer vision to medical imaging, driver safety, and industrial systems Social impact : Empowering children through citizen science and AI literacy programs Recent publications (2023-2025) show strong emphasis on: Neuro-behavioral studies of parenting and child development AI ethics education frameworks for diverse populations Mixed reality systems for safety-critical applications Cross-cultural considerations in technology design Awards include best paper honors from premier HCI conferences (CHI, UIST, MobileHCI) and CU Boulder's 2014 Student Affairs Faculty of the Year Award.

Erich SchrögerView profile

Professor

• Cognitive Psychology
• Biological Psychology
• Auditory Perception
• +5 more

Prof. Dr. Erich Schröger is a renowned cognitive and biological psychologist at the University of Leipzig. He served as Vice Rector for Research (2017–2022), Dean of the Faculty of Life Sciences & Psychology (2014–2016), and held the C4 Professorship for Cognitive Psychology (2001–present). He leads the BioCog research group and investigates perception, attention, and predictive modeling in auditory and visual modalities. Education: B.A. Philosophy (Leipzig School of Philosophy, 1982), Diploma in Psychology (LMU Munich, 1986), PhD (1991), and Habilitation (1996), all from LMU Munich. He conducted research at the University of Helsinki (1991). Research focuses on auditory processing, predictive coding, and the biological foundations of cognition. Over 300 publications and top 0.2% most-cited scientist globally (Ioannidis 2020). Awards include the Werner Heisenberg Medal (2022) and membership in Academia Europaea (2016). Key projects include DFG-funded work on predictive models in hearing (Koselleck Project, 2009) and international collaborations on attention in schizophrenia (DAAD, 2016). Teaching emphasizes cognitive psychology, biological psychology, EEG analysis, and experimental programming.