Robert Lew is a Full Professor at the Faculty of English, Adam Mickiewicz University in Poznań, Poland, where he has held academic positions since 1991. His career includes roles such as University Professor (2006–2019), Reader (1996–2006), and visiting appointments at Eastern Michigan University and other institutions. His research focuses on lexicography, corpus linguistics, and user studies in dictionary use. Lew has led major projects including the National Science Centre grant on online dictionary user research (2014–2017) and contributed to international initiatives like ELEXIS (Horizon 2020) and the KELLY Project. He has delivered over 50 conference presentations globally, including invited plenaries at venues such as the International Symposium in Lexicography (Aarhus) and the Asialex conferences. Lew has served on 26 international conference committees, examined 8 PhD theses, and reviewed for top journals like Applied Linguistics and Language Teaching . His awards include the AMU Rector’s research merit awards (2013–2016) and the Minister of National Education’s Award for Research Excellence (1997). Lew’s research integrates quantitative methods (e.g., eye-tracking studies) with lexicographical theory, emphasizing user-centric design for bilingual and learner dictionaries. His work bridges traditional and digital lexicon development, addressing challenges in multilingual vocabulary acquisition and digital tool effectiveness.
Dr. Jiahe Cui is a Research Fellow at the University of Oxford, holding roles across the Departments of Engineering Science, Experimental Psychology, and Pharmacology. She is also a Research Associate of Pembroke College. Her work focuses on advancing adaptive optics for medical imaging, particularly in developing retinal imaging systems to identify biomarkers for neurodegenerative and psychiatric diseases (PREDICTOR project) and understanding visual neural processing through eye movement studies (PhysFEM project). Dr. Cui earned her BSc in Optoelectronics from Beijing Institute of Technology (2018) and her DPhil in Engineering Science from Oxford (2022). Her research interests include machine learning applications, ophthalmology, super-resolution imaging, and intelligent surgical interventions. She has secured significant grants, including EPSRC Healthcare Technology Fund and ERC support, and has been recognized with multiple awards, including Special Correspondent for Light: Science & Applications . Her publications span adaptive optics optimization, medical imaging innovations, and interdisciplinary applications. Current projects aim to revolutionize point-of-care diagnostics through non-invasive retinal imaging and to decode visual neural responses via advanced optical systems. Awards : EPSRC Healthcare Technology Fund Researcher (2022) ERC Research Studentship (2018–2022) Beijing Outstanding Graduate (2018) Grants : EPSRC IAA Technology Fund (2022) Multiple collaborative research grants spanning engineering and medicine Dr. Cui collaborates with interdisciplinary teams and leads development of SenAOReFoc software for adaptive optics control. Her labs focus on optical engineering and translational medical imaging technologies.
Lili Yu is a Lecturer at the School of Psychological Sciences, Macquarie University, and a member of the Macquarie University Centre for Reading. Her research focuses on cognitive and perceptual processes underlying reading comprehension, employing eye-tracking methodologies to investigate how visual attention interacts with linguistic processing. She holds a Ph.D. in Psychology from Tianjin Normal University (2014). Her research interests include: Eye movement patterns as indicators of reading comprehension Cross-language differences in reading strategies Misinformation retention in digital environments Multimodal integration of text, speech, and visual information Yu has led or contributed to three major projects including the Macquarie University Centre for Reading (2020–2022) and the Centre for Elite Performance Expertise and Training (2019–2021). She serves on the editorial boards of Behavior Research Methods and Scientific Reports . Her recent work explores digital reading's cognitive impacts, Chinese reading mechanisms, and predictive eye movement models. Collaborative projects include developing child-friendly eye-tracking tools for literacy research and analyzing subtitle processing in multimedia contexts.
Layla Unger is a Lecturer in the Department of Psychology at the University of York, where she joined in 2024. She holds a BSc in Psychology from the University of Aberdeen (2009), an MSc in Psycholinguistics from the University of Edinburgh (2010), and a PhD in Psychology from Carnegie Mellon University (2017). Her research focuses on understanding how children develop interconnected semantic networks through language exposure, statistical regularities, and cognitive processes. Key interests include word learning mechanisms, category formation, and the role of attention in semantic organization. Her work investigates how children acquire vocabulary and conceptual knowledge from everyday linguistic and environmental inputs. She explores the interplay between explicit and implicit learning, the impact of co-occurrence statistics in language, and developmental shifts in cognitive strategies. Recent studies emphasize contextual learning dynamics, memory integration, and the neural bases of attention-guided decision-making. Layla’s publications highlight advancements in understanding how simple statistical patterns shape complex semantic structures, with implications for educational practices and cognitive development theories. Her research has been featured in journals like Developmental Science , Psychological Science , and Cognition . Her academic journey includes a postdoctoral position at Ohio State University, where she expanded her work on cognitive development and category learning. She currently teaches courses in developmental psychology and supervises research projects at the University of York.
Dr. Aasef G. Shaikh is a Professor of Neurology and Biomedical Engineering at Case Western Reserve University School of Medicine, where he holds the Penni and Stephen Weinberg Chair in Brain Health. He serves as Vice Chairman for Research in the Department of Neurology at University Hospitals Cleveland Medical Center and directs the National VA Parkinson Consortium Center at the Louis Stokes Cleveland VA Medical Center. With dual MD and PhD credentials, Dr. Shaikh is a physician-scientist whose career bridges clinical neurology, computational neuroscience, and neural engineering. Dr. Shaikh earned his Bachelor of Medicine and Bachelor of Science from Medical College Baroda in 2000, followed by a PhD from Wayne State University in 2003. His clinical training includes residencies and fellowships in neurology, movement disorders, neurotology, and eye movement research at prestigious institutions including Johns Hopkins Hospital, Emory University Hospital, and Cleveland Clinic. He is board-certified by the American Board of Psychiatry and Neurology. Dr. Shaikh's research focuses on movement disorders, particularly Parkinson's disease, dystonia, and tremors, with special emphasis on deep brain stimulation, gait disorders, and neuro-ophthalmological aspects of movement disorders. His work integrates clinical observation with computational modeling to understand the neural mechanisms underlying movement disorders. He has made significant contributions to understanding saccadic oscillations, vestibular function in movement disorders, and the application of neuromodulation techniques. His research has been published in numerous high-impact journals, and he has edited several books in the field of movement disorders and neuro-ophthalmology. Dr. Shaikh has received multiple prestigious awards recognizing his contributions to neurology and movement disorders research, including the American Academy of Neurology Alliance Founders Award, American Neurological Association Grass Foundation Award in Neuroscience, American Academy of Neurology Jon Stolk Award for movement disorders, American Academy of Neurology Career Development Award, and American Parkinson's Disease Association George C Cotzias Memorial scholarship. As a dedicated mentor, Dr. Shaikh has trained numerous post-doctoral scholars, medical students, neurology residents, clinical fellows, and undergraduate and graduate students. His research is supported by multiple NIH and VA grants, including R01 funding from the National Institutes of Health and several Merit Review awards from the Department of Veterans Affairs. His current projects include research on deep brain stimulation for visuomotor function in Parkinson's disease, remote dynamic cycling for customized off-site rehabilitation in Parkinson's disease, and subthalamic deep brain stimulation to modulate vestibular heading perception. Dr. Shaikh leads the Shaikh Lab, which operates within the Daroff-Dell'Osso Eye Movement Physiology Laboratory at the Louis Stokes Cleveland VA Medical Center. His interdisciplinary team includes biomedical engineers, physiologists, and clinicians working together to advance understanding of movement disorders and develop innovative treatments. He also collaborates extensively with researchers at Case Western Reserve University, Cleveland Clinic, and international institutions to expand the impact of his work.
Professor Mark Campbell holds positions at the University of Limerick, including Professor in the Department of Physical Education & Sport Sciences, and leadership roles in Lero – the Irish Software Research Centre and the Sports and Human Performance Research Centre. His research focuses on motor cognition, expert performance, and applied sport psychology interventions, utilizing methodologies like eye-tracking to study decision-making and visual attention. Campbell earned his PhD from University College Dublin in 2006, specializing in golf expertise, and previously lectured at Dublin City University. His work contributes to UN Sustainable Development Goal 4 (Quality Education) through athlete development and dual-career athlete advocacy. Notable research includes studies on esports physiology, athletic identity formation, and the cognitive mechanisms underlying expert performance. Campbell is actively involved in professional organizations such as the Psychological Society of Ireland and FEPSAC, and has delivered keynote addresses on sport psychology topics. Recent publications explore the physiological effects of game genres, sleep deprivation on esports performance, and the biomechanics of esports movements. His contributions bridge cognitive science, sports science, and technology, with applications in talent development, injury prevention, and mental health interventions in elite sports.
Kevin Paterson is a Professor of Experimental Psychology and Head of the School of Psychology and Vision Sciences at the University of Leicester. He holds a visiting professorship at Tianjin Normal University, China. His research focuses on cognitive mechanisms in reading, with emphasis on aging effects, cross-linguistic comparisons (Arabic, Chinese, English, Mongolian), and neurophysiological techniques like eye-tracking and EEG. His work has been funded by major bodies including The British Academy, Leverhulme Trust, and ESRC. Education: MA (Hons) from University of Glasgow (1990), PhD in Psychology (1996) Research interests include: Cognitive aging’s impact on reading Eye movement dynamics during reading Neural bases of reading via EEG co-registration Cross-cultural reading comparisons Publications emphasize eye-movement patterns in aging readers, cross-linguistic reading mechanisms, and ERP-based neural correlates of reading processes. Key findings include preserved parafoveal processing in older adults and age-related differences in word predictability effects. Awards: Haihe Friendship Award (2020), British Academy Fellowship (2012) Grants include funding from UKRI BBSRC/ESRC and Ulverscroft Foundation. He supervises research in vision sciences and collaborates internationally. Current research explores aging effects on health message comprehension and syntactic prediction in reading.
Nik Kharlamov is an Associate Professor in the Department of Communication and Psychology at Aalborg University, Denmark. His research focuses on reading cognition, particularly in Danish language contexts, and the impact of emoji usage in texts. He leads the MASSHINE research group and collaborates on projects like MultiplEYE and MeRID, aiming to advance multilingual eye-tracking methodologies and cross-linguistic sentence processing studies. Education details are not explicitly listed, but his academic work spans cognitive psychology, psycholinguistics, and developmental psychology. Key projects include creating multilingual eye-tracking corpora (MultiplEYE) and investigating Danish reading strategies (CSRD). Research interests emphasize experimental methods like eye-tracking, with contributions to understanding language processing in diverse linguistic contexts. Recent work explores second-language text reading and emoji's role in communication. Teaching responsibilities include cognitive psychology, engineering psychology, and quantitative research design. He advises student projects in these areas but no specific advisee names are listed. Labs/groups include the MASSHINE team and collaborations with institutions worldwide through projects like MECO and MeRID.
Dr. Dervinis Donatas is an Assistant Professor at the Department of Electrical and Electronic Engineering, VU Šiauliai Academy. His research focuses on Renewable Energy, Automation, Computer Vision, and Cybersecurity, with a strong emphasis on practical applications in industrial systems and educational technologies. He holds a Doctor of Science in Electrical and Electronics Engineering and has over 22 months of academic experience. His educational background includes advanced studies in electrical engineering, complemented by a prolific career in research. Key research areas include solar energy systems, image processing, and automated systems for transportation and security. He contributed to the development of a textbook on Image Processing (2012) and has been affiliated with the eLABa research group. Donatas has authored or co-authored over 15 peer-reviewed publications, exploring topics such as energy-efficient cloud computing, password security, and real-time video analysis for human recognition. His work bridges theoretical advancements with practical implementations in fields like industrial automation and biomedical engineering. While no specific awards are listed, his publications appear in reputable journals like Applied Scientific Research and Professional Studies: Theory and Practice . His academic advising and grant activities are not explicitly detailed, though his research often involves collaborative projects with institutions like Tallinn University of Applied Sciences and Šiauliai State College. Donatas is actively involved in the eLABa research team, focusing on innovative solutions in electrical engineering and technology education. His future work continues to emphasize sustainable energy systems and advanced computer vision applications.
Dr. Alan Godfrey is an Associate Professor in the Computer and Information Sciences Department at Northumbria University, leading the Digital Health & Wellbeing research group. He serves as Deputy Editor for npj/Nature Digital Medicine and Editor for Maturitas, with editorial roles in multiple journals. His expertise spans wearable technology, AI, machine learning, and biomedical signal processing in healthcare and sports. He holds a BEng and PhD in Biomedical Electronics from the University of Limerick and an MBA from Newcastle University. Education: PhD in Bioinformatics, University of Limerick (2005-2008) MBA, Newcastle University (2016-2017) BEng in Electronic Engineering, University of Limerick (2000-2004) Research Interests: Wearable systems, connected health, AI-driven analytics, sports technology, and neurological disorder biomarkers. Awards: Fellow of the Higher Education Academy (FHEA), Senior Member of IEEE (SMIEEE), Member of IET (MIET). His research focuses on translating wearable technology into clinical applications, including gait rehabilitation, fall risk assessment, and digital biomarkers for Parkinson's disease. He leads projects like the Northern Health Futures Hub and collaborates internationally. Over 100 publications emphasize interdisciplinary approaches to healthcare challenges.
Rosie Morris is an Associate Professor at Northumbria University's Sport Exercise and Rehabilitation Department. She holds an NIHR Advanced Fellowship, focusing on the interplay between mobility (gait, balance, falls) and cognition in older adults and neurological conditions like Parkinson’s and dementia. Her work emphasizes digital technologies for clinical assessment and rehabilitation. She completed her PhD on gait as a predictor of cognitive decline in Parkinson’s at Newcastle University, followed by postdoctoral training in vagus nerve stimulation research and NIH-funded studies on genotype influences in Parkinson’s. Education: PhD (Neurosciences, Newcastle University, 2017), MSc Physiotherapy (Northumbria University, 2013), BSc Neuroscience (University of Leeds, 2010). Research interests include developing digital tools for gait analysis, visuo-cognitive interventions, and improving clinical rehabilitation for neurological disorders. Notable work includes the KOKU rehabilitation program for Parkinson’s and studies on ocular microtremor as a biomarker. Her recent articles highlight AI-driven gait assessment, IoT applications in rehabilitation, and mobile health interventions. Awards include the NIHR Advanced Fellowship supporting her independent research into turning rehabilitation in Parkinson’s. Supervision and Grants: Actively supervising PhD students and leading funded projects like the NIHR Fellowship. Her work integrates technology with clinical practice to enhance patient outcomes. Labs/Teams: Collaborates with interdisciplinary teams on projects like MoBI (Mobile Brain/Body Imaging), iFall (falls reporting app), and the Pacific-UDALL study.
Seyed Mostafa Kia is an Assistant Professor in the Department of Cognitive Science and Artificial Intelligence at Tilburg University, Netherlands. He holds a PhD in Computer Science from the University of Trento and has extensive postdoctoral experience at Radboud University Medical Center and University Medical Center Utrecht. His work focuses on scalable, explainable machine learning solutions for precision medicine, particularly in mental health and neuroimaging. Dr. Kia leads projects like 'MEGaNorm' and 'AI Deployment Journey in Healthcare,' aiming to translate AI insights into clinical practice. His research integrates normative modeling, federated learning, and uncertainty estimation to address heterogeneity in psychiatric and neurological disorders. He teaches courses including 'Methods for Responsible AI' and collaborates internationally on neuroimaging studies. Education: PhD (Computer Science, University of Trento, 2017), Master’s (CIMeC, University of Trento, 2013), Bachelor’s (Ferdowsi University of Mashhad, 2007). Research Interests: Machine learning for precision medicine, interpretable AI, neuroimaging analysis, normative modeling frameworks, and ethical AI deployment in healthcare. Key methodologies include hierarchical Bayesian regression, transfer learning, and deep learning applied to psychiatric disorders, Alzheimer’s disease, and brain dynamics. Recent work emphasizes longitudinal studies of cortical thickness, white matter heterogeneity, and predictive models for psychosis treatment outcomes. His projects address scanner variability, healthy aging, and patient-centric AI tools for mental wellbeing. Grants & Projects: Principal investigator in projects such as 'Normative Range of P600 Morphology' and 'Charting the Normative Electroencephalography in Healthy Aging Population,' alongside collaborative initiatives like the ENIGMA consortium. Labs/Teams: Active in the Cognitive Science and AI Academic Collaborative Center for Digital Health & Mental Wellbeing at Tilburg University, contributing to interdisciplinary collaborations across neuroscience and AI ethics.
Robin Walker is a Professor of Cognitive Neuroscience at the Department of Psychology, Royal Holloway, University of London. His research focuses on saccadic eye movements, neuroimaging (fMRI), and the neural basis of visual cognition. He develops dynamic text formats to assist individuals with visual impairments, such as the MD_evReader and EV News apps, recognized by Universities UK and supported by Dame Judi Dench. His work bridges basic neuroscience and applied solutions for macular degeneration, funded by the Leverhulme Trust and the Macular Society. Research Interests: Eye movement control and cortical-subcortical brain networks FMRI studies of superior colliculus function Dynamic text adaptation for eccentric viewing techniques Clinical applications for age-related vision loss Projects: Evaluating therapies for Charles Bonnet Syndrome (Macular Society, 2022-2024) Midbrain response preparation (Leverhulme Trust, 2013-2016)
Maria Concetta Morrone is a Professor of Physiology at the School of Medicine, University of Pisa, with a distinguished career spanning multiple institutions including Università Vita-Salute San Raffaele (2000-2008), Italian Institute of Technology (2008-2017), CNR Institute of Neuroscience (1995-2000), and Scuola Normale Superiore (1981-1995). Her research bridges biophysics, visual perception, and computational neuroscience. Education: Physics (University of Pisa, 1977); Biophysics training (Scuola Normale Superiore, 1973-1980) Research Interests: She investigates human spatial vision, attention mechanisms, multisensory perception, brain plasticity in development and neurodevelopmental disorders, and computational models applied to robotics. Her work incorporates psychophysics, electrophysiology, ultra-high field fMRI, and artificial intelligence. Scientific Recognition: Awards include the Ken Nakayama Medal (2019), ERC-IDEA Advanced Grant (2014), and Accademia Dei Lincei honors (2002). She has coordinated multiple European Community grants.
Dr. Magdalena Rychlowska is a Lecturer in Experimental Social Psychology at Queen's University Belfast. She holds a PhD in Social and Cognitive Psychology from Clermont Auvergne University (2014). Her employment history includes roles as an Honorary Fellow at the University of Wisconsin-Madison (2011-2021), Postdoctoral Research Associate at Cardiff University (2014-2017), and Queen's University Belfast (2017-2019). Her research focuses on facial expression dynamics, cultural influences on emotion perception, and friendship styles, funded by the British Academy/Leverhulme, British Council, and France's Ministry for Europe and Foreign Affairs. Education: PhD in Social and Cognitive Psychology, Clermont Auvergne University (2014) Research Interests: Role of facial muscle activity in emotion understanding Cultural and group membership effects on facial expression interpretation Individual differences in friendship styles Teaching: Module Coordinator for PSY3133: Introduction to Cultural Psychology Teaches PSY1009: Methods in Psychology, PSY1011: Using Psychology in Everyday Life, and others Awards: School of Psychology ICARE Award (2023) Supervision: Principal supervisor of 1 PhD graduate (Philip Howlett, 2023) Current students: Katie McDade, Jodie McGoldrick, Glenda Preston (DClin) Her research spans over 46 publications, with notable works on facial mimicry, cultural differences in smiling, and friendship habits. She actively collaborates internationally and contributes to policy-relevant discussions on emotion expression and social behavior.
