Mohamed Khamis is an Associate Professor at the University of Glasgow , specializing in Human-Computer Interaction (HCI) with a focus on Human-centered Security and Eye Tracking for privacy protection. His research spans Pervasive Displays , Usable Security , and User Privacy in immersive environments. PhD from Ludwig Maximilian University of Munich (LMU) Supervised by Florian Alt and Andreas Bulling Research Interests: Usable Security and Privacy Designing Gaze-based Systems Thermal Attacks and Shoulder Surfing Mitigation Security in Public Displays and Virtual Reality Recent Publications demonstrate expertise in: Drone Interaction and Proxemics Privacy Scales for Measuring Granular Constructs Gaze-enabled Mobile Authentication Multimodal Security Systems Deepfake Privacy Applications XR Dark Patterns Analysis Scientific Contributions: Recipient of multiple Honorable Mention Awards at CHI and MobileHCI Funding from EPSRC for thermal imaging research Keynote speaker at ECCV 2020 Open Eyes Workshop Co-organizer of ETRA workshops on Eye-Gaze for Security
Luigi Aldieri is a Full Professor in the Department of Economic and Statistical Sciences (DISES) at the University of Salerno , Italy. His research spans applied econometrics, innovation economics, environmental sustainability, and knowledge spillovers. He holds a PhD from the Solvay Brussels School of Economics and Management at Université Libre de Bruxelles. Research Interests: His work focuses on the economic impact of innovation, particularly green and environmental technologies, knowledge diffusion, R&D spillovers, energy efficiency, and their effects on employment, productivity, and well-being. He investigates how innovation interacts with migration, education, and institutional quality across regions and countries. Recent Research Trends: His recent publications (2023–2025) emphasize the digital economy, regulatory quality, circular economy, migration-innovation nexus, food security under SDGs, and energy resilience. He employs advanced econometric models such as panel data, spatial analysis, and stochastic frontier analysis, often using international datasets from OECD, EU, and global firms. Scientific Editorial Roles: Associate Editor, Journal of Environmental Management (Environmental Policy, Economics, Social Science section) Associate Editor, Environment, Development and Sustainability Associate Editor, Energy Engineering Editorial Board Member, Sustainability , Energies , Clean Technologies , International Journal of Knowledge-Based Development , and others Guest Editor for special issues in MDPI Energies and Sustainability on climate change, green growth, and total environment Advising and Grants: While no direct PhD advisees are listed, Aldieri leads a robust research network, frequently collaborating with scholars from Russia, Finland, Belgium, and Italy. He is affiliated with the International Centre for Innovation, Technology and Education Studies (iCite) at ULB. His work is supported by extensive co-authorship networks and institutional research projects focused on innovation, sustainability, and economic development. Laboratories and Research Groups: He is part of the research ecosystem at the University of Salerno’s DISES department and collaborates with international research groups. His work is associated with empirical research in innovation economics and environmental policy, often leveraging large datasets and cross-country comparisons.
Katrina M. Groth is a Professor and Director of the Reliability Engineering Program at the University of Maryland, affiliated with the A. James Clark School of Engineering. She also serves as Associate Director for Research at the Center for Risk and Reliability and is part of the Maryland Energy Innovation Institute. Her expertise spans risk analysis, hydrogen safety, and nuclear safety, with notable contributions to probabilistic risk assessment (PRA) and human reliability analysis (HRA). Groth holds a Ph.D., M.S., and B.S. in Reliability Engineering from the University of Maryland (2009, 2008, 2004). Her research focuses on advancing safety practices for energy systems, including hydrogen technologies, nuclear power plants, and pipelines. Key innovations include the HyRAM toolkit for hydrogen risk assessment and the HyCReD database for reliability data. Groth has published over 175 papers and secured funding from DOE, NRC, and industry partners. She advocates for educational equity, mentoring women and first-generation engineering students. Award highlights include the NSF CAREER Award, USM Board of Regents Faculty Award, and ASME Rising Star of Mechanical Engineering. She leads initiatives such as the SyRRA Lab and serves on editorial boards for journals like Reliability Engineering & System Safety . Groth teaches graduate and undergraduate courses on reliability engineering and risk analysis, emphasizing practical applications in infrastructure and energy systems. Education: Ph.D., Reliability Engineering, University of Maryland, 2009 M.S., Reliability Engineering, University of Maryland, 2008 B.S., Engineering, University of Maryland, 2004 Professional Service: Board of Trustees, National Museum of Nuclear Science & History Associate Editor, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Her work integrates Bayesian methods, deep learning, and causal reasoning to address complex system safety challenges, with global impact on engineering standards and practices.
Professor Thierry Langer is a Full Professor of Pharmaceutical Chemistry at the University of Vienna’s Faculty of Life Sciences (Department of Pharmaceutical Sciences). He leads research in computational drug design, with a focus on pharmacophore modeling, 3D-QSAR analysis, and AI-driven molecular design. His work bridges theoretical and experimental chemistry, addressing targets like viral proteases (e.g., SARS-CoV-2), GABA receptors, and dopamine transporters. Research interests include: Pharmacophore-guided drug discovery for anti-viral and CNS therapies Development of next-generation computational tools (e.g., PharmacoMatch, QPhAR) Protein-ligand interaction modeling using neural networks and graph-based algorithms Recent studies focus on: Inhibitors for herpesvirus nuclear egress complexes, AI-optimized antivirals, and dopamine transporter inhibitors for cognitive enhancement. His lab collaborates on projects like the NeuroDeRisk initiative to de-risk neurotoxic compounds. Publications emphasize drug repurposing, metabolic pathway analysis, and scalable synthesis methods for promising drug candidates.
Dr. Philip R. Holland is a Reader in Neuroscience at King's College London, affiliated with the Wolfson Sensory, Pain and Regeneration Centre within the School of Neuroscience and the Institute of Psychiatry, Psychology & Neuroscience. His research focuses on understanding migraine mechanisms and developing therapies, with a particular emphasis on neurovascular interactions and pain pathways. He leads a team funded by organizations like the Medical Research Council, Wellcome Trust, and European Research Council. Dr. Holland earned his PhD under Prof. Peter Goadsby at University College London, followed by postdoctoral research at UCSF and the University of Edinburgh. He actively engages in teaching, public awareness, and editorial roles (e.g., Cephalalgia). Key awards include the 2020 Medical Research Foundation Emerging Leaders Prize. His work spans clinical and translational research, aiming to bridge basic science with patient care. Education: PhD in Neuroscience, Postgraduate Certificate in Academic Practice (King's College London). External Roles: External Examiner at UCL, Science Editor of CGRP Forum, Associate Editor of Cephalalgia. Grants/Projects: Investigates trigeminal autonomic cephalalgias, neuroendocrine signaling, and novel therapies like cannabidiol combinations. Labs/Teams: Leads a migraine-focused research group exploring neurobiological and pharmacological interventions.
Yang Liu is an Assistant Professor in the Department of Electrical and Computer Engineering at the Baskin School of Engineering, University of California, Santa Cruz. Previously, they were affiliated with Harvard University and earned their PhD in 2015 from the Department of EECS at the University of Michigan, Ann Arbor. Their research lies at the intersection of machine learning, fairness, and trustworthy AI, with a strong focus on large language models, federated learning, and causal reasoning. Their research interests include: Machine Learning and Fairness Federated and Privacy-Preserving Learning Large Language Model Safety and Unlearning Causal Inference and Counterfactual Reasoning Anomaly Detection and Robust Forecasting Human-AI Interaction and Ethical AI Recent publications (2024–2025) demonstrate a strong trend in developing methods for machine unlearning, fairness in LLMs, and robustness under label noise and distribution shifts. Their work frequently appears in top-tier venues such as NeurIPS, ICLR, ICML, AAAI, and KDD, often in collaboration with researchers like Zhaowei Zhu, Mingyan Liu, Jiaheng Wei, and Kun Zhang. Themes include algorithmic fairness, model accountability, and human-aligned AI systems. Scientific contributions include: Frameworks for LLM unlearning and model editing Methods for fair classification and recourse Robust time series forecasting under anomalies Test-time adaptation in multimodal models Causal approaches to debiasing and policy learning While no formal advising list is provided, the depth and volume of collaborative work suggest active mentorship of graduate students and postdocs. Their research program is highly active, with numerous ongoing projects in trustworthy and socially responsible AI.
Marie-Colette van Lieshout is a Professor of Spatial Stochastics at the Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, and a Scientific Staff Member in the Stochastics group at Centrum Wiskunde & Informatica (CWI), Amsterdam. She has been active in research since 1997 and is a leading expert in stochastic geometry, spatial statistics, and image analysis. Her educational and professional background includes positions at the University of Warwick and the Free University Amsterdam. She is currently engaged in advanced research on point processes, random fields, and tessellation models, with applications in seismic hazard, fire risk, and machine learning. Her research interests include: Stochastic Geometry Spatial Statistics Image Analysis Point Process Modeling Seismic Risk Assessment Machine Learning for Spatial Data Her recent publications (2023–2025) focus on spatial intensity estimation, marked point processes, and data-driven risk modeling, showing a strong integration of classical spatial statistics with modern computational and machine learning techniques. Key themes include adaptive kernel smoothing, infill asymptotics, and applications in environmental and public safety domains. She has received significant recognition, including: Elected Fellow, International Statistical Institute (ISI) She has been awarded multiple research grants from NWO and other agencies, including the KLEIN grant for fire risk management and the DeepNL grant for seismicity prediction in Groningen. She has supervised or collaborated with researchers such as C. Lu, Z. Baki, and R. Markwitz. She is also active in academic service, serving on editorial boards (e.g., Methodology and Computing in Applied Probability), advisory boards (InHolland University), and councils of learned societies (Bernoulli Society, KWG). She leads and participates in research clusters such as STAR and contributes to outreach and education through courses and public lectures on earthquake modeling and spatial statistics.
Christopher Ames is a Clinical Professor in the Departments of Neurological Surgery and Orthopaedic Surgery at the University of California San Francisco (UCSF). He serves as Director of Spinal Deformity & Spine Tumor Surgery, Co-Director of the UCSF Spine Center, Director of the California Deformity Institute, and Director of the Spinal Biomechanics Laboratory. With over 200 annual spinal deformity cases, he specializes in complex procedures for scoliosis, kyphosis, and spinal tumors, pioneering innovative techniques including the transpedicular approach and AI decision support tools. Developed first cervical spine deformity classification Created Adult Deformity Frailty Index and Invasiveness Index Recipient of multiple Scoliosis Research Society awards His research, funded through studies like the ROSE Study and Telomere Study, focuses on spinal biomechanics, surgical outcomes, and AI integration in spine surgery. He has published over 600 peer-reviewed articles and serves as Spine Section Lead Editor for Operative Neurosurgery . Scientific Awards: Hibbs Award (3×) Goldstein Award Whitecloud Award Top Doctors (Neurosurgery & Cancer) US News Top 1% Neurosurgeons
Adrian Priest is a Senior Lecturer in the School of Mathematics and Computer Science within the Faculty of Science and Engineering at the University of Wolverhampton. He plays key roles in academic quality assurance, apprenticeship development, and international education partnerships. His responsibilities include serving as a University Quality Panel Member, School Apprenticeships Champion, Link Tutor for Degree Apprenticeships, and Personal Tutor for Computing students. His educational background includes a degree in Business Information Systems from Staffordshire University and postgraduate qualifications from the University of Wolverhampton, such as a Postgraduate Certificate in Learning and Teaching in Higher Education, and studies in Business Information Technology and Strategic Information Technology Management. Adrian's research and teaching focus on critical areas in modern computing and management, particularly Cyber Security, Project Management, Change Management, Risk Management, and Degree Level Apprenticeships . His work bridges academic theory and industry practice, informed by prior professional experience as an IT Manager and IS Consultant in the financial sector. The available publication highlights his interest in the integration of change management within project management frameworks, reflecting a broader trend in organizational and technological adaptation. His work suggests a strong applied research orientation with relevance to both academic and industrial contexts. Chartered IT Professional, British Computer Society (Member) Fellow of the Higher Education Academy Member of the Institute of Leadership and Management Adrian has extensive experience in academic leadership and student supervision, having served as Module Leader for numerous undergraduate and postgraduate courses, supervised MSc and BSc projects, and led curriculum development initiatives. He has also contributed to institutional growth through roles in course validation, transnational education (Sri Lanka and Malaysia), Knowledge Transfer Partnerships, and vocational training facilitation (Prince2). While no specific grants are mentioned, his involvement in KTP and international programs indicates engagement with funded collaborative projects. He is actively involved in professional service, including health and safety representation, union activities, wellbeing advocacy, and fire safety. These roles reflect a strong commitment to the broader university community beyond teaching and research.
Professor Walter C. Prozialeck is a distinguished academic at Midwestern University, serving in the Department of Pharmacology across multiple schools including the Chicago College of Osteopathic Medicine (CCOM), College of Pharmacy, College of Dental Medicine-Illinois, and College of Graduate Studies - Illinois. He holds a Ph.D. in Pharmacology from Thomas Jefferson University (1978) and a B.S. from Juniata College (1974). Dr. Prozialeck's research spans 35 years of cadmium toxicology, focusing on mechanisms of nephrotoxicity, microRNA expression, and biomarker development. He also investigates vancomycin pharmacokinetics and herbal medications like kratom and marijuana, contributing to drug policy discussions. His work has secured over $3.0 million in NIH funding. Recent publications highlight his expertise in cadmium-induced kidney injury biomarkers (e.g., Kim-1, cystatin C), microRNA alterations, and vascular toxicity. He has authored over 100 papers and book chapters. Career Achievement Award, Metals Specialty Section of Society of Toxicology (2021) Dr. Prozialeck teaches Pharmacology to medical, pharmacy, optometry, dental, and allied health students, and lectures in CME programs. He has held leadership roles including President of the Great Lakes Chapter of ASPET and Midwest Regional Chapter of the Society of Toxicology.
Assoc. Prof. Dr. Levent ŞAHİN is a prominent academic in Emergency Medicine at Kafkas University's Faculty of Medicine. He holds a PhD in Internal Medical Sciences from İnönü University (2015) and an MD from Cumhuriyet University (2007). Currently serving as Head of the Department of Internal Medical Sciences (2022-) and Education Coordinator (2020-), his career spans 13 years of academic experience. Academic Affiliation: Kafkas University, Faculty of Medicine, Department of Internal Medical Sciences Previous Institutions: İnönü University (2011-2015) Research Pillars: Cardiovascular Emergencies (acute myocardial infarction biomarkers, cardiac trauma) Toxicology (organophosphate poisoning, drug-induced toxicity) Geriatric Medicine (diabetes-cholestasis relationships in elderly, climate/poisoning patterns) Pediatric Emergencies (head trauma assessment, spinal cord protection) Pandemic Medicine (N95 respirator effects, COVID-19 neurological complications) Medical Education (first aid training, textbook authorship) Publication Trends: Over 80 publications since 2019, with 15 recent works focusing on cardiovascular biomarkers (2024), neurological complications (2023), toxicology (2022), and pandemic-related clinical issues (2021). His experimental pharmacology research includes studies on hydrogen-rich saline and dragon fruit extract. Leadership: Department Head (2022-), Education Coordinator (2020-) Editorial Roles: Editor for Journal of Emergency Medicine Case Reports (2024), Taktik Sahada Acil Tıp (2024) Professional Memberships: ATUDER (2016-), TATD (2016-)
Professor Sara Bernardini is a leading academic in Artificial Intelligence at the University of Oxford's Department of Computer Science, where she holds a joint appointment as a Tutorial Fellow at Mansfield College. Her research specializes in decision-making for autonomous systems, automated planning, and robotics, with applications in extreme environments like space missions, nuclear decommissioning, and offshore energy. She bridges theoretical AI with real-world challenges through projects funded by Innovate UK, EPSRC, NERC, and the Alan Turing Institute. Her research interests span: Autonomous Systems : Developing agents that support humans in complex cognitive tasks. Automated Planning : Algorithms for goal recognition, pathfinding, and multi-agent coordination. Robotics : Solutions for subterranean exploration, offshore wind farms, and UAV operations. AI Safety : Risk-aware autonomous systems and interpretable decision-making. Bernardini's publications emphasize algorithmic robustness in path planning, multi-agent coordination , and real-world AI deployments . Recent work explores goal legibility in uncertain environments, energy-efficient robotics, and AI education tools. Her 65+ papers in top venues (e.g., AIJ, JAIR, ICAPS) show a trend toward safety-critical applications and human-AI collaboration. Awards & Leadership: ICAPS-2020 Best Paper Honorable Mention Executive Council Member, Association for the Advancement of Artificial Intelligence (AAAI) Program Chair, International Conference on Automated Planning and Scheduling (ICAPS 2024) Associate Editor, Artificial Intelligence Journal She leads interdisciplinary teams for projects like autonomous offshore wind farm maintenance and modular robots for extreme environments. As Principal Scientist at the UK National Oceanography Centre, she advanced marine robotics. She mentors PhD candidates and collaborates globally (e.g., NASA Ames, MIT).
Phil Pavilionis is an Associate Professor of Kinesiology in the School of Public Health at the University of Nevada, Reno. With over 20 years of clinical experience as a Certified Athletic Trainer (ATC) and Certified Strength and Conditioning Specialist (CSCS), he bridges academic research with practical applications in sports medicine. His roles include teaching undergraduate/graduate courses, conducting research in the Neuromechanics Laboratory, and serving as an adjunct clinical athletic trainer for Nevada Sports Medicine. Education: Ph.D. in Neuroscience, University of Nevada, Reno (2024) M.S. in Exercise Science, California University of Pennsylvania (2007) B.S. in Health Science, University of Nevada, Reno (1995) Dr. Pavilionis specializes in head injury prevention and virtual reality applications for concussion evaluation. His research leverages clinical experience to develop standardized assessment protocols, focusing on vestibular-ocular motor screening (VOMS) using virtual reality to reduce administrator variability. Key investigations include oculomotor deficits following concussion, head impact biomechanics in football using instrumented mouthguards, and minimal detectable change metrics for neurocognitive tests like ImPACT. His work integrates neuroscience, kinesiology, and engineering to improve concussion diagnosis and management. Analysis of his 45 publications (2022-2025) reveals three dominant trends: (1) Virtual reality standardization of concussion assessments, particularly VOMS protocols; (2) Head impact monitoring using instrumented mouthguards to evaluate protective equipment like Guardian Caps; and (3) Machine learning applications for objective concussion detection through eye-tracking and biomechanical data. These studies consistently address the critical need for objective, standardized tools to overcome subjective symptom reporting in sports concussion management. Dr. Pavilionis actively collaborates with the Neuromechanics Laboratory and Nevada Sports Medicine, translating research into clinical practice. While no specific grants are documented in the provided materials, his extensive publication record (including 15 articles in 2023 alone) demonstrates sustained research productivity and interdisciplinary collaboration across neuroscience, engineering, and sports medicine disciplines.
Nathan Fisk is an Assistant Professor at the University of South Florida College of Education , specializing in cybersecurity education . His research bridges educational theory with cybersecurity practice, focusing on behavioral aspects, policy analysis, and socio-technical systems. Key research themes include: Understanding user motivations for adopting cybersecurity practices Designing privacy-preserving data collection methods Examining economic stressors' impact on online scam susceptibility Critiquing digital inequality in medical fundraising platforms His recent work explores AI-driven cybersecurity awareness campaigns and anti-oppressive pedagogies in online learning environments. Scientific Awards : EAGER grant (2021) for SaTC AI-Cybersecurity research Contact: fisk@usf.edu
Ross Koppel is an Adjunct Professor of Sociology with expertise in healthcare information technology, medication errors, and ethics in social research. His work explores the intersection of technology and societal impacts, focusing on data governance, clinical workflows, and human factors in health IT systems. Research Interests Context-sensitive understanding of medication errors Societal implications of clinical data sharing Ethical challenges in AI and informatics Healthcare cost analysis Scientific Awards Fellow of the American College of Medical Informatics (FACMI)
