Jay Henderson is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland (MUN), leading the Human-Computer Interaction (HCI) Lab. He holds a PhD from the University of Waterloo's HCI Lab, advised by Prof. Edward Lank. His research focuses on understanding human-technology interactions through quantitative methods, particularly in mixed reality productivity applications and generative AI interactions. Education: PhD in HCI from University of Waterloo (advised by Edward Lank). Research interests include evaluating human performance with emerging technologies, cross-modal input evaluation, and midair interaction techniques. Recent work explores mixed reality rendering effects and generative AI interface design. Current teaching includes COMP 4303: Artificial Intelligence for Games (Winter 2025/2024), COMP 1001: Introduction to Programming (Fall 2024), and previous courses at Carleton University. Labs/Teams: Leads the HCI Lab at MUN, collaborating on projects involving spatial computing and gesture-based interfaces.
Dr. William Payre is Assistant Professor in Transport Design and Human Factors at Coventry University's Centre for Future Transport and Cities. His research examines human interaction with automated transportation systems. Research investigates driver trust in automation, effects of non-driving tasks on performance, and safety implications of vehicle automation. Recent projects include simulator studies on driver attention allocation during automated driving. Awards include Ergonomics Journal Best Paper Award for work on music tempo effects in simulated driving.
Raul Fernandez Rojas is an Associate Professor in the Department of AI and Robotics at the University of Canberra. His research focuses on multimodal neurophysiological sensing, machine learning applications in healthcare, and pain assessment using technologies like fNIRS, EEG, and facial expression analysis. He leads projects integrating brain-body interactions in neurological disorders such as Parkinson's disease and dementia, and develops intelligent systems for driver distraction detection. Education: PhD (details unspecified) Research interests include cognitive workload analysis, sensor fusion for biomedical applications, and AI-driven diagnostics for mental and neurological conditions. His work spans clinical pain assessment, human-swarm interaction, and real-time monitoring systems. He has contributed to over 55 peer-reviewed publications and actively supervises PhD candidates in machine learning for neurophysiological applications. Current projects include a dementia detection initiative using machine learning and exercise interventions, funded from 2024–2026. He collaborates internationally on topics like head motion patterns for depression biomarkers and fNIRS-based pain assessment for non-verbal patients. Advising focuses on PhD projects involving neurophysiological sensors (EEG, fNIRS, etc.) and facial expression analysis for pain recognition. Grants include funding for multimodal signal fusion research and wearable sensor systems.
Simone Bianco is an Associate Professor at the Department of Informatics, Systems and Communication (DISCo) of the University of Milano-Bicocca, Italy. His academic and research contributions span computer vision, artificial intelligence, machine learning, and optimization algorithms applied to multimodal and multimedia systems. His educational background includes a PhD in Computer Science (2010) and BSc/MSc degrees in Mathematics (2003/2006), both from the University of Milano-Bicocca. Bianco’s research focuses on color constancy, deep learning for video restoration, neural architecture search, and computational color imaging, with a strong emphasis on practical applications like biometric recognition, medical imaging, and environmental monitoring. The 15 most recent articles (2025–2020) highlight trends in computer vision, including uncertainty estimation in color constancy, portable material appearance modeling, temporal consistency in low-light videos, and advanced deep learning architectures for image and video processing. His work often integrates photogrammetry, sensor technology, and multimodal data analysis. Scientific accolades include recognition on Stanford University’s World Ranking Scientists List for achievements in artificial intelligence and image processing. Bianco also serves as R&D Manager for the University of Milano-Bicocca spin-off Imaging and Vision Solutions and contributes to international conferences and workshops.
Martin Goetze is a graduate research assistant at the Institute of Ergonomics, Technical University of Munich, where he is pursuing his doctorate. His research focuses on human-machine interaction (HMI) in urban driving environments, particularly optimizing head-up displays and combination instruments for visual information processing. Doctoral candidate in Ergonomics (expected completion: mid-2017) Part of the UR:BAN project with 30+ industrial partners Co-author on publications addressing urban traffic stress, safety, and ecological responsibility His work bridges ergonomic principles with advanced display technologies to enhance driver situation awareness in complex urban scenarios. Research trends indicate a focus on: Comparative analysis of HMI concepts Visual workload optimization Integration of ecological responsibility in vehicle design Testing under mesopic lighting conditions Stress and safety dynamics in urban traffic Key lab facilities involved include the Dynamical Mock-Up and Static Driving Simulator environments. No scientific awards are explicitly mentioned in the provided materials.
Sylvain Sénécal is a Professor at the Department of Marketing, HEC Montréal. He holds the RBC Financial Group Chair of E-commerce and co-directs the Tech3Lab. His expertise focuses on internet marketing and online consumer behavior, with a strong emphasis on user experience (UX) research, neuro-marketing, and digital technology impacts. He earned both his M.Sc. and Ph.D. in Marketing from HEC Montréal. His research explores topics such as cognitive load in online shopping, driver distraction mitigation via technology, and ethical implications of AI in HR management. He has supervised over 60 students, including 7 PhD graduates and numerous master's theses. Key awards include the 2023 Pierre-Laurin Research Prize. His work bridges marketing, information systems, and neuroscience, with notable contributions to UX design, consumer behavior analysis, and the psychological effects of digital tools. The Tech3Lab under his co-direction focuses on technology-driven innovation in business and consumer interactions.
Dr. Brian Holtz is an Associate Professor and Liacouras Research Fellow in the Department of Management at Temple University’s Fox School of Business. He serves as the concentration director for the Human Resource Management and Organizational Behavior (HRM/OB) PhD Program. His research focuses on fairness, trust, and temporal issues in organizations, with notable contributions to understanding workplace attire effects, detachment from work, and abusive supervision dynamics. Education: Ph.D. in Industrial–Organizational Psychology from George Mason University. He is an editorial board member of *Journal of Applied Psychology* and *Personnel Psychology*, and an Associate Editor for *Journal of Organizational Behavior*. His teaching spans undergraduate and graduate courses on leadership, including *Leadership in the 21st Century* and *Pro-Seminar in Human Resource Management and Organizational Behavior*. His work bridges organizational psychology and management, addressing topics like employee perceptions of fairness, leadership styles, and workplace well-being. Recent research includes examining clothing’s impact on work perceptions and strategies for work-life balance. Awards: Liacouras Research Fellow (2023-present). His research has been published in top journals such as *Academy of Management Journal*, *Journal of Occupational Health Psychology*, and *Personnel Psychology*. He actively contributes to advancing methodologies in leadership research and organizational justice measurement.
Hudson Sessions is an Associate Professor in the Department of Management and Entrepreneurship at Arizona State University (ASU), affiliated with the School of Technology, Innovation, and Entrepreneurship. He holds a PhD from ASU's Department of Management and Entrepreneurship. His research explores how individuals navigate multiple professional roles, including hybrid entrepreneurs, gig workers, and plural careerists, focusing on challenges like balancing side hustles and fostering workplace improvement through employee advocacy. Education: PhD in Management and Entrepreneurship, Arizona State University. Research interests include organizational behavior dynamics, gig economy challenges, work-life balance strategies, and the psychological impacts of dual employment. His work has been published in top journals such as the Academy of Management Journal and Journal of Applied Psychology. Articles highlight themes like leadership configurations in teams, identity conflicts in multiple roles, and the effects of psychological reactance in side-hustlers. No scientific awards are listed, but his contributions emphasize practical solutions for modern workforce complexities. Teaching focuses on entrepreneurship principles, as seen in courses like ENT 305. No grants or lab affiliations are explicitly mentioned, though he collaborates with small businesses and students on success strategies.
Maryam Zahabi is an Associate Professor in the Department of Industrial & Systems Engineering at Texas A&M University, holding the Mike and Sugar Barnes Faculty Fellowship. She leads the Human-Systems Integration (HSI) Lab, focusing on enhancing human performance through Human-Systems Engineering methods. Her work addresses complex systems challenges in healthcare, transportation, and assistive technologies. Dr. Zahabi holds a Ph.D. in Industrial & Systems Engineering and a Ph.D. minor in Statistics from North Carolina State University (2017). Her research emphasizes cognitive workload assessment, human-robot interaction, and police officer performance optimization. She has pioneered studies on prosthetic device usability, in-vehicle technology for law enforcement, and adaptive training systems. Research Highlights: Developed neuroadaptive cockpit systems for pilots Created SUMA metric for accessibility-focused usability evaluation Designed adaptive training frameworks for law enforcement Recent Focus Areas: Autonomous vehicle interfaces for aging populations Cognitive workload classification via physiological signals Prosthetic device evaluation in virtual reality environments Her 2024 publications reveal growing emphasis on law enforcement technology adaptation, cognitive biases in aviation, and neuroadaptive systems. Recent awards include the IISE Early Career Award (2024) and NSF CAREER Award (2021). She actively advises PhD students like Junho Park (now Assistant Professor at Santa Clara University) and Vanessa Nasr (2024 Student Honors recipient). Dr. Zahabi’s grants include NSF CAREER funding and TEES Young Faculty support. Her lab collaborates on projects like ADAPT-LEO (Adaptive Driver Assistance for Law Enforcement) and HSI Lab’s virtual reality training systems. Current initiatives explore police vehicle cybersecurity, EMG-based prosthetic controls, and human-AI collaboration in critical tasks.
Hatem Abou-Senna is an Associate Professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida (UCF), College of Engineering and Computer Science. He is a registered Professional Engineer in Florida and actively contributes to both academic and professional communities through research, teaching, and service. Education: Ph.D. in Civil Engineering, University of Central Florida (2012) M.S. in Civil Engineering, University of Central Florida (2003) M.S. in Civil Engineering, Cairo University (2000) B.S. in Civil Engineering, Cairo University (1993) His research interests lie at the intersection of traffic engineering, human behavior, and sustainable transportation. He investigates advanced traffic control systems, driver comprehension, intelligent intersections using V2V/I communication, pedestrian and bicycle safety, and the environmental impacts of transportation systems, particularly air quality and greenhouse gas emissions. His work combines simulation, field data analysis, and behavioral studies to improve transportation safety and efficiency. The recent publications highlight a strong focus on driver distraction, signal timing (especially flashing yellow arrows), pedestrian safety, and emissions modeling. These works reflect a consistent trend toward integrating human factors with engineering solutions in intelligent transportation systems, emphasizing real-world data and safety outcomes. Scientific Awards: 2023 WTS Central Florida Chapter Honorable Ray LaHood Award 2019 Innovative Research Award – International Conference on Highway Traffic Flow 2017 ITE Best Project Award – Pedestrian and Bicycle Safety Hatem Abou-Senna has managed over 16 research projects, securing approximately $4 million in funding, primarily from the Florida Department of Transportation. He advises student organizations including WTS UCF Knights and UCF SSA. His service includes roles on the UCF Faculty Senate committees, the Transportation Research Board (TRB) Air Quality and GHG Mitigation Committee (AMS10), and the Traffic Control Devices Committee (TCP55). He is also an advisory board member for UCF Mobility 2030 and the World Academy for Science, Engineering and Technology. He leads the TEAM Lab at UCF, which focuses on Transportation, Engineering, and Advanced Mobility research, supporting his work in traffic operations, simulation, and safety analysis.
Pedro Valero Mora is a Professor at the University of Valencia , affiliated with the Faculty of Psychology and Speech Therapy and the Department of Behavioural Science Methodology . He leads research at the Universitat de València Research Institute of Transit and Road Safety (INTRAS) and contributes to the GIDOP Optimal Development Research Group . PhD in Psychology (Universitat de València, 1996) Specializes in Human-Computer Interaction , Driving Simulation , and Data Visualization Develops tools for Statistical Analysis and Educational Technology Focuses on Transportation Safety , Behavioral Science , and GIS Applications His recent work analyzes driving performance through GIS mapping , fatigue studies , and mindfulness impacts . Publications emphasize automated data visualization and road safety in university campuses. Research spans 26 years, including collaborations on EU COST Action TU1101 and ViSta software development.
Raffaella Sadun is the Charles E. Wilson Professor of Business Administration at Harvard Business School (HBS) and currently serves as Senior Associate Dean for HBS Publishing. She co-leads the Digital Reskilling Lab and the Project on Managing the Future of Work at HBS. Her research focuses on managerial and organizational drivers of productivity in corporations and public sectors, including foundational work on the World Management Survey, Executive Time Use Study, and MOPS-H hospital management surveys. She holds a PhD in Economics from the London School of Economics (LSE). Her research interests span managerial practices, organizational economics, healthcare management, and digital transformation. Notable awards include the prestigious Grande Ufficiale dell'Ordine 'Al Merito' from Italy (2021) and the HBR McKinsey Award (2017 and 2023). She has published extensively in top journals like the Quarterly Journal of Economics and American Economic Review. Recent articles emphasize AI-driven reskilling, CEO decision-making, and hospital system mergers. She directs the NBER Working Group on Organizational Economics and co-chairs the Harvard Project on the Workforce. Her work bridges academia and practice through case studies on firms like Ferrari, Davivienda Bank, and Moleskine.
Jonas Radlmayr is a Researcher at the Department of Ergonomics, Technical University of Munich, where he has been actively contributing since 2014 under Prof. Klaus Bengler's Chair. His work focuses on human factors in automated driving systems, with emphasis on driver-state modeling and transition-of-control mechanisms. Education: Diplom-Ingenieur (Master's equivalent) in Mechanical Engineering, Technical University of Munich (2013), specializing in Control Engineering and Ergonomics Radlmayr's research investigates critical human-automation interaction challenges in conditionally automated driving (Level 3). His work examines how driver drowsiness, non-driving tasks, and system reliability impact take-over performance during transitions of vehicle control. He has pioneered methodological frameworks including the Take-Over Performance Score (TOPS) for quantifying driver readiness and developed integrative models for drowsiness progression in automated contexts. His experimental designs address real-world challenges in human-machine interface validation and driver monitoring system development. Analysis of his 15 most recent publications reveals consistent focus on driver availability metrics, human factors in cut-in scenarios, and mental model formation regarding automation levels. The research demonstrates strong interdisciplinary connections between cognitive psychology, transportation engineering, and physiological monitoring, with recurring themes in usability evaluation frameworks and safety-critical transition protocols. As an integral member of TUM's Ergonomics Chair, Radlmayr utilizes advanced research infrastructure including the Dynamical Mock-Up, Modular Ergonomic Mockup, and Static Driving Simulator. His collaborative work with industry partners addresses practical implementation challenges in automated vehicle design while advancing theoretical understanding of human-automation teaming in transportation systems.
Phillip Neil Quisenberry is a Professor of Sociology and serves as Chair of the Division of Social Sciences at McKendree University. His academic leadership spans theoretical criminology and empirical research on deviant behavior within contemporary social contexts. His educational credentials include: Ph.D. from the University of Kentucky M.A. from the University of South Florida B.A. from Western Kentucky University Dr. Quisenberry's research centers on hate crimes , juvenile delinquency , deviance , and criminological theory , with particular emphasis on testing the General Theory of Crime across diverse behavioral contexts. His work critically examines how communication styles influence violence and substance abuse, while his environmental criminology studies investigate the physical structure-crime relationship through broken windows theory frameworks. This dual focus bridges micro-level behavioral analysis with macro-level community dynamics. His publication record from 2003-2015 demonstrates consistent theoretical innovation, connecting classical criminological frameworks to modern phenomena like distracted driving and campus substance use. The research portfolio reveals three dominant trajectories: rigorous testing of self-control theory, analysis of speech-violence-substance use intersections, and environmental criminology applications to urban planning. These threads collectively advance understanding of crime causation while maintaining practical relevance for criminal justice policy. Dr. Quisenberry actively supports academic discourse as a member of the American Society of Criminology and Midwest Sociological Society , providing peer review services for the Journal of Contemporary Ethnography , Roxbury Publishing, and Sage Publishing. His institutional commitment extends to advising the Spectrum Alliance student organization and Alpha Kappa Delta sociology honor society, fostering both scholarly development and campus community engagement.
Marjan Hagenzieker is a Professor at Delft University of Technology (TU Delft) in the Department of Transport & Planning under the Faculty of Civil Engineering and Geosciences. She holds a PhD from Leiden University and specializes in traffic safety, particularly focusing on road user behavior, distraction, vulnerable road users (e.g., cyclists, elderly), and interactions between road users and automated vehicles. Her research integrates psychological and engineering perspectives to improve road safety. **Education**: PhD in Experimental Psychology (Leiden University), MSc in related fields (not explicitly stated). **Research Interests**: Road safety effects of transport systems, driver/road user behavior, automated vehicles, road infrastructure design, and cyclist/pedestrian safety. She leads the Traffic and Transportation Safety Lab and supervises numerous PhD students, including recent works on automated vehicle HMIs, cyclist interactions, and freeway curve safety. **Teaching**: Courses include Traffic Safety and contributions to the online Delft Road Safety Course. She also teaches modules in the Master of Transport, Infrastructure, and Logistics (TIL) program. **Recent Projects**: Co-investigator in SAMEN (mixed traffic automation), AfroSAFE (road safety in Africa), and MEDIATOR (driver-automation mediation). She is an editorial board member of Transportation Research Part F and IATSS Research . **Grants & Labs**: Involved in EU-funded projects and part of TU Delft’s DAIMoND Lab and Automated Driving & Simulation Lab. Ancillary roles include membership in the CBR Supervisory Board (2024–2026).
