Brian W. Dillon is a Professor of Linguistics at the University of Massachusetts Amherst, directing the Computational Sentence Processing Lab. He specializes in psycholinguistics, focusing on real-time sentence processing, working memory, and cross-linguistic studies. Dillon holds a Ph.D. from the University of Maryland and a B.A. from SUNY Buffalo. Research : Investigates how cognitive resources like attention and memory influence language comprehension, with studies on languages such as English, Mandarin, Turkish, and Irish. Key projects include syntactic ambiguity resolution, neural network modeling of syntactic processing, and working memory dynamics in sentence interpretation. Recent Work : Published on eye-tracking methods, language model surprisal and garden path effects, and binding theory. Collaborates on NSF-funded projects exploring syntactic dependency formation and interference in agreement processing. Awards : Received the Distinguished Paper Award at CoNLL 2022 for contributions to syntactic surprisal modeling. Labs & Teams : Leads the Computational Sentence Processing Lab, focusing on experimental and computational methods. Current team includes PhD students like Özge Bakay and Satoru Ozaki, with alumni in academic and industry roles.
Dr Yuanchen Xu is a Lecturer in Computer Science in the Department of Computing & Informatics at Bournemouth University, Faculty of Science and Technology. He holds a PhD in Computer Science (2022) and an MSc in Computing from De Montfort University, and brings over 8 years of industry experience in full-stack software development. Research Interests: His work centers on computational intelligence, including fuzzy logic, rough set theory, neural networks, and grey systems, applied to complex real-world problems involving uncertainty and stochastic decision-making. His primary applications are in cybersecurity, particularly proactive incident response informed by cyber threat intelligence, and intelligent decision support systems. The recent publications reflect a strong focus on integrating business processes with cyber threat intelligence models, developing efficient computational methods using rough sets, and exploring human-centric intelligent systems such as motivation-aware e-learning tools. The research spans disciplines of cybersecurity, artificial intelligence, and human-computer interaction. Scientific Grants: Psychological aspects and cyber threat intelligence (BU Computing QR, awarded October 21, 2024) Teaching and Supervision: Dr Xu leads key units including Security Operations (SecOps) and Introduction to Information Systems Analysis. He also supervises undergraduate final year projects and postgraduate research students. He is actively involved in both undergraduate and postgraduate teaching profiles. Laboratory and Research Environment: While specific lab affiliations are not explicitly mentioned, his research is conducted within the Department of Computing & Informatics at Bournemouth University, likely involving collaboration with cybersecurity and AI research groups.
Corey A. Smith is a Professor in the Department of Ophthalmology & Visual Sciences at Dalhousie University's Faculty of Medicine, focused on retinal imaging and optical coherence tomography angiography (OCTA) . His research balances experimental methods with clinical relevance , emphasizing 3D image analysis and artificial intelligence applications in understanding retinal diseases like glaucoma. Research priorities : interdisciplinary collaboration, OCTA optimization, clinical data integration Students : Masters and Honours students in biomedical engineering and medical sciences Recent publications highlight his work in macular perfusion density , ganglion cell asymmetry , and transsynaptic vascular changes . Awards and educational background are not explicitly mentioned in the provided texts, though opportunities for trainees are advertised.
Fred Feng is an Associate Professor in the Industrial and Manufacturing Systems Engineering department at the University of Michigan-Dearborn's College of Engineering and Computer Science. His work bridges human factors, data science, and transportation safety. Ph.D. in Industrial and Operations Engineering from University of Michigan, Ann Arbor (2015) M.S. in Mechanical Engineering from Tsinghua University (2009) B.E. in Automotive Engineering from Tsinghua University (2006) Research Focus: Human factors in automated vehicles, road safety analysis, human-machine interaction design, and data-driven modeling of mobility systems. His work combines naturalistic driving data with statistical and computational methods to improve transportation safety for vulnerable road users. Publication Trends: Recent work (2022-2023) explores micro-mobility sustainability frameworks and safety-critical scenarios for autonomous vehicles. Earlier studies (2017-2019) focused on driver distraction detection, overtaking behavior analysis, and vehicle dynamics modeling. Grants: Recipient of multiple competitive grants including NSF CAREER funding (2022-2027) and multiple industry-sponsored research projects with Toyota and Ford.
Ilona Södervik is a Senior Lecturer at the Department of Education, University of Helsinki, with affiliations to the Helsinki Institute of Sustainability Science (HELSUS) and the Centre for University Teaching and Learning (HYPE). She also serves as a Visiting Professor at the STEAM Didactics Centre, Vytautas Magnus University (2025–2028). Education: Doctorate in Educational Sciences with a focus on Life Science Pedagogy Research Interests: Ilona's work centers on expertise development in university teacher education and life sciences (biology, pharmacy, medicine). She investigates conceptual understanding in authentic case-processing, adaptive expertise cultivation, and sustainability competences integration. Her research bridges pedagogy, genetics, physiology, and AI literacy in curricula. Recent Publications Trends: Over the past years, her research outputs emphasize interdisciplinary STEAM education, sustainability competences, AI integration in curricula, and perceptual learning in medical education. Key methodologies include eye-tracking and project-based learning frameworks. Scientific Awards: Nuorten Tiedeakatemia (Young Scientist Academy) recognition (2021) Projects & Supervision: She leads initiatives like TROUPER (Erasmus+) and STEAM-oriented interdisciplinary projects. Her supervision includes doctoral candidates in teacher education and life sciences pedagogy. Labs & Collaborations: Active in the SEE/PLAE laboratory, focusing on educational technology and teacher training collaborations between Finland and Lithuania.
Glenn W. Harrison is the C.V. Starr Chair of Risk Management & Insurance and Distinguished University Professor at Georgia State University's J. Mack Robinson College of Business. He is the Director of the Center for the Economic Analysis of Risk (CEAR) within the Maurice R. Greenberg School of Risk Science. With over 200 publications in top economics journals, he is a leading figure in experimental and behavioral economics, risk analysis, and policy evaluation. Ph.D. in Economics, UCLA Master of Arts, UCLA Master of Economics, Monash University Bachelor of Economics (Honours), Monash University, Australia His research focuses on the economics of risk, uncertainty, and insurance, with significant contributions to experimental economics, law and economics, international trade policy, and environmental economics. He has pioneered methods for eliciting subjective beliefs and risk preferences, and critically examined policy tools like contingent valuation and carbon taxation. The recent articles reflect a strong trend in behavioral and experimental economics, particularly in measuring risk and time preferences, belief elicitation, and applications to public health (e.g., smoking, gambling, pandemic response) and insurance. His work bridges theoretical rigor with real-world policy impact, especially in developing countries and litigation contexts. Scientific Awards and Honors: C.V. Starr Chair of Risk Management & Insurance Distinguished University Professor Professor Harrison has advised numerous government agencies and private litigants, including the World Bank, U.S. EPA, Swedish and Danish governments, and counsel in major tobacco and pharmaceutical litigation resulting in multi-billion dollar settlements. He has not publicly listed advisees but has led extensive research teams and collaborative projects through CEAR. He directs the Center for the Economic Analysis of Risk (CEAR), a multidisciplinary hub fostering dialogue among economists, psychologists, engineers, and policy makers on fundamental and applied risk issues. CEAR supports signature research, sponsored projects, workshops, and global collaborations to advance rigorous policy debate on risk.
Jason Orlosky is an Associate Professor at Augusta University, with academic appointments in both the College of Allied Health Sciences and the School of Computer and Cyber Sciences. He is affiliated with the Department of Computer & Cyber Sciences and leads the ARVR Lab, a research group focused on augmented and virtual reality, eye tracking, and intelligent interaction systems. His work bridges computer science, health education, and human-computer interaction, with strong international collaboration with Osaka University. Research Interests: His research spans augmented and virtual reality (AR/VR) , gaze-based interaction , intelligent agents , vision augmentation , and educational technology . He explores how biometrics like eye tracking and pupillometry can detect cognitive states and enhance user experience in XR environments. His lab develops novel interfaces for remote collaboration, teleoperation, and immersive learning, particularly in healthcare and training contexts. His recent publications (2021–2024) reflect a strong focus on practical and theoretical advances in XR, including gaze-driven interaction techniques, VR sickness mitigation, display prototyping, and educational applications. Themes include user comfort , ergonomic design , cognitive load assessment , and safety in mobile AR . His work appears in top venues such as IEEE VR, IEEE Transactions on Visualization and Computer Graphics, and ACM conferences. Scientific Awards: Outstanding Faculty Award, Augusta University (2023) Best Paper, Augmented Human International Conference (2016) Best Paper, International Conference on Intelligent User Interfaces (2013) Best Presentation Honorable Mention, IEEE VR (2024) Best Paper Nominee, ISMAR (2024) Advising and Grants: Dr. Orlosky mentors graduate students in the MS and PhD programs in Computer Science through the ARVR Lab. He offers full funding and tuition waivers for PhD students on a competitive basis. He serves as faculty advisor for the Game Design Club and Girls Who Code College Loop, and has organized international programs such as the Augusta University–Osaka University Summer Study Abroad. While specific grants are not listed, his lab's sustained activity and funding availability suggest active grant support. Labs and Teams: He leads the ARVR Lab at Augusta University, part of the Cyber-Physical Systems group, which collaborates with the Cybermedia Center at Osaka University. The lab focuses on building hardware and software for immersive interaction, with projects in outdoor AR, remote collaboration, and educational simulations.
Oliver Baumann serves as Professor of Mathematics and Physics at the Department of Industrial Engineering within the Faculty of Engineering and Computer Science at Hamburg University of Applied Sciences (HAW Hamburg). His office is located in Room 0.17b at Ulmenliet 20, 21033 Hamburg, with office hours held Wednesdays 10:00–11:00 by email appointment. His academic background includes a physics diploma from CAU Kiel, a diploma thesis in applied optics at JGU Mainz, and a doctorate in astronomy from MPIA Heidelberg. Prior to his professorship, he worked as a scientific employee at Carl Zeiss AG in Oberkochen. Baumann's research spans applied and technical optics , experimental physics , and scientific image processing , with emphasis on optical measurement technology and precision mechanical-optical systems. His work bridges theoretical physics with industrial applications in aerospace, medical technology, and optical instrumentation. Key projects include radar system optimization for field mouse detection, fluorescence imaging evaluation in medical contexts, and photovoltaic-heat transport system design. His publications reveal strong focus on optical engineering (75% of works), instrumentation patents (60%), and educational methodologies (20%). Recent trends show increasing specialization in medical optics applications since 2016, alongside consistent contributions to astronomical instrumentation. Graduates' award for particularly dedicated teachers: 'Golden Duck' 2023 Graduates' award for particularly dedicated teachers: 'Golden Duck' 2019 Graduates' award for particularly dedicated teachers: 'Golden Duck' 2018 Graduates' award for particularly dedicated teachers: 'Golden Duck' 2017 Graduates' award for particularly dedicated teachers: 'Golden Duck' 2016 Baumann actively supervises graduate theses while serving as Chairman of the Examination Board for HWI bachelor's and master's programs. He holds multiple institutional roles including BAFöG representative, Deputy member of Faculty Council LS, and DAAD reviewer for Nigeria (PTDF). His professional affiliations include the European Optical Society (EOS), German Society for Applied Optics (DGaO), German Physical Society (DPG), and University Teachers' Association (hlb). His research activities center around precision mechanical-optical systems development, with emphasis on imaging technologies and measurement instrumentation. Current projects focus on optical metrology applications in aerospace and medical technology sectors.
Britta Westner is an Assistant Professor and researcher at the Donders Institute and Radboud University Medical Center (Radboudumc) in Nijmegen, the Netherlands. She works in the Department of Medical Neuroscience and serves as an Associate Investigator and Collaborator in the Lab of Vitória Piai, focusing on language production and memory research. Her academic journey spans Radboud University, Aarhus University, and the University of Konstanz. Her educational background includes: PhD in Neuroscience (2017) from University of Konstanz MSc in Psychology (2013) from University of Konstanz BSc in Psychology (2011) from University of Konstanz Westner's research centers on the intersection of language and memory , with complementary interests in language and vision interactions . Her expertise spans visual processing from retina to cortex and specializes in source reconstruction methods and MEG decoding for electrophysiological data. As a core developer of MNE-Python since 2019 , she actively promotes open-source neuroscience tools. Her methodological innovations are evident in publications addressing beamforming techniques, functional connectivity assessment, and predictive language processing. Her publication record reveals a dual trajectory: advancing M/EEG analysis methodologies while exploring cognitive neuroscience questions. Recent work demonstrates particular strength in developing robust approaches for source reconstruction, functional connectivity analysis, and decoding neural representations during language tasks, often bridging technical innovation with substantive cognitive questions. Her scientific recognition includes: Marie Curie Postdoctoral Fellowship (EU Horizon 2020 scheme, 2020-2022) Core developer role in MNE-Python (since 2019) Westner actively contributes to neuroscience education through teaching workshops on MEG/EEG data analysis and MNE-Python. She developed comprehensive teaching resources including source reconstruction pipelines in FieldTrip specifically for language and dyslexia research. Her Marie Curie Fellowship supported research on visual anticipation and memory at the Donders Institute, though progress was impacted by the COVID-19 pandemic. She maintains close collaboration with the Lab of Vitória Piai at the Donders Institute, where she has developed specialized analysis pipelines and teaching materials. Her GitHub repositories demonstrate active contributions to open-source neuroscience tools, with particular focus on making MEG/EEG analysis more accessible through well-documented workflows and educational materials.
Frank Heidmann is a Research Professor for Design of Software Interfaces at the University of Applied Sciences Potsdam, where he serves as Program Director for the Master's degree program in Design. He leads the Interaction Design Lab (IDL) and holds leadership roles including membership in the Research and Transfer Commission and Ethics Committee of FH Potsdam, and serves as Ombudsperson for good scientific practice. His educational background includes: PhD in Applied Physical Geography (1999, University of Trier) Studies in Applied Physical Geography with cartography focus (1988-1994, University of Trier) Heidmann's research spans human-computer interaction, usability engineering, and interface design, with evolving focus from cartographic communication to XR interfaces and mental health applications. His work integrates eye-tracking, tangible interfaces, and user-centered design methods, particularly addressing aging society needs and social anxiety disorders. Recent projects emphasize collaborative XR learning and neurofeedback systems. His publication trends reveal consistent contributions to HCI conferences (CHI, DIS, NordiCHI) with growing emphasis on: Immersive technologies (XR/VR) Mental health applications Collaborative interaction paradigms Critical design approaches Heidmann actively supervises design education initiatives and leads significant projects including DISA (Digital Inclusion for Social Anxiety), FUX-XR@FH:P (Extended Reality), and international partnerships with National Taipei University of Technology. As project manager at IDL, he implements research on human-technology interaction, interface design for aging populations, and user-centered design integration. His leadership extends to curriculum development projects like Design '0815' for adapting design education to digital workplaces.
Mike Pake is a Senior Lecturer in the Faculty of Science and Engineering at Anglia Ruskin University, specializing in Psychology, Sport and Sensory Science. Based in Cambridge, he teaches research methods and cognitive psychology while conducting interdisciplinary research on language acquisition and visual perception. PhD in Cognitive Science from University of Edinburgh MSc in Artificial Intelligence from University of Edinburgh BSc in Psychology from University of Stirling His research focuses on computational models of language acquisition, investigating how infants infer linguistic syntax from auditory input. He also explores visual perception through eye-tracking studies, examining behavioral carryover effects between tasks and their impact on recognition accuracy. Recent publications highlight his collaborative work with Paul J. Hills on face recognition biases, driver hazard perception, and attentional modulation of eye movements. These studies span cognitive psychology, transportation psychology, and visual cognition. Mike co-founded Psychonovo Publishing Ltd to develop conversational learning materials accessible via voice/text interfaces. He created the Psychonovo system for interactive psychology learning, including an Alexa Skill for research methods education.
Sravan Pingali is a Lecturer in Aviation Human Factors at Griffith University's School of Engineering and Built Environment, specifically within the Griffith Aviation department. He has been with Griffith University since 2016 and currently serves as Program Director for the Bachelor of Aviation and Bachelor of Aviation/Bachelor of Information Technology programs. Pingali also supervises doctoral research and teaches courses in aviation human factors to both pilots and non-pilots, emphasizing the critical relationship between human factors and aviation safety. His educational background includes a Doctor of Philosophy from Swinburne University of Technology, a Master of Information Technology from University of Ballarat, a Graduate Certificate of University Learning and Teaching from Griffith University, and a Bachelor of Psychology from University of Ballarat. Prior to his current position, he worked as an Aviation Lab Assistant at Swinburne University of Technology (2012-2015) and as a Sessional Academic at University of Ballarat (2006-2011). Dr. Pingali's research focuses on aviation human factors, particularly pilot performance in the cockpit, learning and teaching methodologies in pilot training, and the interaction between flight crews and flight deck automation. His work integrates theories from multiple disciplines to provide students with a broad perspective applicable to various transportation industries including rail and automobile sectors. His teaching portfolio includes courses such as Human Factors for Pilots, Human Factors for Aviation Managers, Aviation Biology and Medicine, Introduction to Aviation Studies, and Aviation Research Methods. His 15 most recent publications demonstrate a consistent research trajectory in aviation human factors, with particular emphasis on visual scanning patterns, optokinetic cervical reflex, cockpit automation, and safety in specialized aviation operations. The publications span from 2013 to 2024, showing sustained scholarly activity with increasing focus on emerging technologies and their human factors implications in aviation. Fellow of the Higher Education Academy Member of Golden Key International Honour Society Member of Royal Aeronautical Society RAAus Pilot certification Dr. Pingali has successfully secured multiple internal research grants at Griffith University, including the Griffith Sciences EBE ECR Grant (2020), Griffith Sciences Blended Learning Fund (2019 and 2018), and the Griffith Health Applied Psychology Grant (2019). He currently co-supervises PhD students working on topics including human factors of AI in surveillance-based autonomous UAVs and aviation in the oil and gas industry, continuing his commitment to advancing aviation safety through human factors research.
Dr. Isobel Braithwaite is a Clinical Research Fellow at the University College London (UCL) under the NIHR Doctoral Fellowship , affiliated with the Institute of Health Informatics and Research Department of Primary Care and Population Health . She contributes to the Health Determinants and Inequalities Group , Public Health Data Science team , and the VirusWatch study on COVID-19. Her work intersects public health, climate action, and social equity, aligning with UN Sustainable Development Goals 3 (Good Health and Well-Being) and 13 (Climate Action) . Research interests include housing and health, climate change, air pollution, health inequalities, and co-production with marginalized communities. She collaborates with the Faculty of Public Health and Medact on housing-climate health links. Her publications address pandemic dynamics, health equity in housing, and environmental determinants of health, blending epidemiology, data science, and policy analysis. Grants include the NIHR-funded PhD Fellowship , supporting her research on housing and health. She supervises MSc dissertations and teaches epidemiology, research methods, and climate change health impacts. Labs/Teams : Health Determinants and Inequalities Group Public Health Data Science team VirusWatch Community Cohort Study
Simone Roerig-Zijlstra serves as an External PhD Candidate within the Clinical Developmental Psychology department at Vrije Universiteit Amsterdam's Faculty of Behavioural and Movement Sciences. Her academic work focuses on bridging theoretical frameworks with practical child-centered research methodologies. Her research interests center on childhood empathy development and prosocial behaviors , with particular emphasis on contextual factors influencing these abilities. She pioneered theatre-based elicitation techniques for studying children's mental state attribution, combining mixed-methods approaches to capture both quantitative measurements and qualitative lived experiences. Her work critically examines how individual empathic abilities interact with social processes in everyday environments, challenging purely individualistic models of child development. Analysis of her publication trends reveals consistent focus on developmental psychology through innovative methodological lenses. Her research demonstrates increasing sophistication in contextual analysis, evolving from foundational studies on mental state recognition (2017) toward integrated frameworks examining how empathy abilities 'go social' in naturalistic settings (2023). Key thematic threads include the role of familiarity in social cognition, adaptation of research tools for child participants, and methodological bridging between quantitative and qualitative paradigms. Rogerig-Zijlstra actively disseminates her work through academic presentations, including lectures on contextualizing children's empathy and designing mixed-methods bridges. Her research has garnered attention across academic platforms with multiple Mendeley reader clusters and social media engagement, though formal awards are not documented in available sources. Her collaborative network includes prominent researchers like L. Krabbendam and S.J.T.M. Evers, with projects frequently examining empathy through interdisciplinary lenses combining psychology, neuroscience, and educational practice. Current work appears focused on translating developmental findings into practical applications for childhood well-being.
Dr Zofija Tupikovskaja-Omovie is a Lecturer in Digital User Experience and Web Design at Manchester Metropolitan University's School of Digital Arts (SODA). She teaches across multiple programs including BSc (Hons) Web and User Experience Design, Creative Digital Design Professional Degree Apprenticeship, and Digital Marketer Degree Apprenticeship courses. PhD in Digital Consumer Behaviour and Mobile Fashion Marketing Fellow of the Higher Education Academy (FHEA) PGCLTHE in Learning and Teaching in Higher Education Her research focuses on digital user experience, eye tracking technology, and consumer behavior analysis in m-retail environments. She has developed frameworks for mapping shopping journeys, auditing digital analytics, and designing inclusive platforms across e-Commerce, AR/VR/XR, and Metaverse applications. Her work bridges fashion design with modern digital analytics. Recent research trends include: mobile consumer segmentation (2014-2020), UX optimization for fashion retailers (2016-2022), and Metaverse art gallery analysis (2029). She combines eye tracking, Google Analytics, and qualitative interviews to improve digital platforms. FHEA (Professional Recognition) AHRC Post-Doctoral Creative Economy Engagement Fellowship As a researcher, she has led projects examining gender differences in mobile shopping behavior (2020), platform preferences (2015), and mobile consumer journey types (2019). Her teaching includes UX Methods, Creativity through Research, and Digital Consumer Segmentation. She collaborates with Pentland Brands on consumer behavior research and has presented at international conferences including ETRA (2018, 2020), ICMB (2014), and contributed to the MMU Postgraduate Research Conference (2015).
