Find Academic Supervisors

Tera ReynoldsView profile

Assistant Professor

• Health Informatics
• Human-Computer Interaction
• Computer-Supported Cooperative Work
• +5 more

Dr. Tera Reynolds is an Assistant Professor in the Department of Information Systems at the University of Maryland, Baltimore County (UMBC). She leads the Consumer heAlth infoRmatics for Engagement (CARE) lab , focusing on health informatics, human-computer interaction, and equitable technology design. Her research addresses how healthcare technologies can mitigate disparities while empowering patients and communities. Education: Ph.D. in Informatics, University of California, Irvine M.A. in Information, University of Michigan M.P.H. in Epidemiology and International Health, Boston University B.A. in Biology, Lawrence University Research Interests: Dr. Reynolds explores the intersection of health informatics and social equity, including AI-driven healthcare support, mental health applications, patient portal usability, and technology's role in addressing health disparities. She emphasizes inclusive design principles to ensure technologies benefit underserved populations. Lab & Mentorship: The CARE lab fosters collaborative research involving 6 PhD students, 5 masters students, 3 undergraduates, and 2 high school students. Projects include analyzing AI's role in patient support, barriers to telehealth adoption, and mental health app privacy concerns. Dr. Reynolds actively mentors students through independent studies and research collaborations. Teaching: She teaches Interaction Design in UMBC's Online MS program, focusing on human-centered design principles for digital health tools. Courses emphasize inclusive design, cognitive models, and collaborative technologies like Google Docs. Recent Trends in Research: Recent work examines pandemic-era telehealth impacts, mental health app risks, and the ethical use of ambient clinical documentation. She advocates for balancing technological innovation with user needs and societal implications.

Jason HowarthView profile

Senior Lecturer

• Cybersecurity
• MOOCs (Massive Open Online Courses)
• Consumer Goals
• +5 more

Dr. Jason Howarth is a Senior Lecturer in Computing at Charles Sturt University (CSU), where he has taught since 2003. He holds a PhD and BInfoTech (Hons) from CSU, graduating with the University Medal. His roles have included Course Director, Associate Head of School, and Sub Dean of Transform Online Learning in the Faculty of Business, Justice and Behavioural Sciences. He is actively involved in research within the Data Science and Engineering Research Unit. Education: BInfoTech (Hons) in Information Technology from CSU PhD in Computing from CSU Research interests focus on Massive Open Online Courses (MOOCs), consumer goals in education, cybersecurity workforce development, and health analytics. He has collaborated with organizations like Mid North Coast Local Health District and contributed to projects such as the Community Engagement and Marketing Toolkit. Recent publications highlight trends in MOOCs as pathways to higher education, cybersecurity program analysis, and inclusive language in cybersecurity discourse. Awards include the 2024 Excellence Award for Digital Health research and a 2023 Charles Sturt Excellence Award. Grants and collaborations include $756k for cybersecurity workforce development and health analytics partnerships. His work spans educational technology, policy, and interdisciplinary research.

• Simulation Modelling
• Hybrid Simulation
• Healthcare Management
• +3 more

Professor Tillal Eldabi is a leading academic at the University of Bradford with a PhD and MSc in Simulation Modelling and a BSc in Econometrics and Social Statistics. His research focuses on applying simulation methodologies to healthcare challenges, including hybrid simulation frameworks for complex systems, stakeholder engagement models, and healthcare economics. He has led over £2 million in research projects funded by EPSRC (UK), Qatar National Foundations, and UNDP, among others. Professor Eldabi pioneered the Simulation Workshop UK and the Hybrid Simulation Track at Winter Simulation Conference. He developed the PhD without Residence Programme at Ahlia University, Bahrain, which achieved high gender parity in doctoral graduates. His teaching includes Simulation Modelling (OIM7514-A) and Progression to DBA Research (MAL8012-D). He has supervised 18 doctoral students and co-created innovative programs like the MBA in Healthcare and BSc in Business Analytics. His recent work emphasizes hybrid simulation applications in healthcare systems, supply chain optimization, and B2B ecosystems. Key themes include organizational agility, big data analytics impact on operations, and pandemic response strategies using simulation hubs. Eldabi’s contributions bridge academic research and practical healthcare solutions, with a focus on interdisciplinary collaboration and systemic problem-solving.

Thomas ValoneView profile

Professor

• Arid ecosystem ecology
• Conservation Biology
• Behavioral Ecology
• +4 more

Thomas Valone is a Professor of Biology at Saint Louis University's College of Arts and Sciences. His research focuses on arid ecosystem ecology, conservation, and behavioral ecology, particularly animal information use. He holds a Ph.D. from the University of Arizona and teaches courses including Conservation Biology and Advanced Ecology. Valone's work examines desertification, livestock effects on soil processes, and how animals perceive environments through social information. His research spans arid ecosystem dynamics and behavioral mechanisms in social species. Key publications include studies on biodiversity databases (BioTIME, InsectChange) and invasive species impacts. His behavioral research explores decision-making in animals, such as reproductive strategies influenced by social experience. Recent work emphasizes Bayesian-like estimation in animal behavior and long-term ecological monitoring in desert systems like the Portal Project in Arizona. Contact: thomas.valone@slu.edu | Macelwane Hall, Saint Louis

• Health Information Technology
• EHR and mHealth
• Patient Engagement
• +8 more

Bryan Smith Gibson serves as an Assistant Professor in the Department of Biomedical Informatics at the University of Utah, holding an additional adjunct appointment in Physical Therapy & Athletic Training. His academic career builds upon extensive clinical experience including management of the Salt Lake City VA Cardiac Rehabilitation Program (2002-2008) and service on the LDS Hospital Inpatient wound care team. Dr. Gibson's educational trajectory demonstrates deep institutional commitment to the University of Utah: BS in Undergraduate Studies MPT in Graduate Training DPT in Doctoral Training (2006) PhD in Doctoral Training (2012) Postdoctoral Fellowship at Veterans Affairs Medical Center His research program centers on the sociotechnical dimensions of health informatics, with particular emphasis on translating psychological science into health technology design. Core methodologies include Workflow Analysis, Cognitive Task Analysis, and Human Centered Design and Evaluation. Primary application domains encompass Type 2 Diabetes management through technology-based behavioral interventions, EHR optimization, and mHealth solutions for patient engagement. Analysis of Dr. Gibson's publication record reveals consistent thematic focus across 15 recent works: chronic disease management (particularly diabetes) through informatics solutions, EHR redesign for improved clinical workflows, and patient engagement strategies using simulation and behavioral science principles. His work bridges technical health IT development with human factors considerations, frequently employing mixed-methods approaches to evaluate sociotechnical system impacts. Professional activities include significant contributions to tobacco cessation implementation science (QuitSMART Utah) and community-engaged diabetes research with Hispanic populations. While no formal advisees are documented in the provided materials, his collaborative publication pattern indicates active mentorship within multidisciplinary research teams.

Graham HealyView profile

Assistant Professor

• Human-Computer Interaction
• Brain-Computer Interfaces
• Eye-Tracking Systems
• +3 more

Graham Healy is Assistant Professor and COMSCI Programme Board Chair at Dublin City University's School of Computing. His research develops hybrid human-computer interaction systems using bioelectric signals (EEG), eye-tracking, and machine learning. Current projects include the CASTLE multimodal dataset, AMBER BCI dataset for naturalistic settings, and DERCo EEG-reading comprehension corpus. Dr. Healy creates interactive retrieval systems like VEAGLE (eye gaze-assisted video browsing) and LifeInsight (lifelog search engine), winning competitive evaluations at Video Browser Showdown and Lifelog Search Challenge events. His neuroergonomics research investigates pre-stimulus EEG for predicting driver reaction times, while health informatics projects develop machine learning models for early gestational diabetes prediction using electronic health records. With PhD expertise in brain-computer interfaces from DCU, Dr. Healy's work spans experimental neuroscience, information retrieval, and clinical applications. Recent publications address reproducibility challenges in medical AI and validate diagnostic coding in electronic health systems. His NeuroScore framework evaluates GAN performance using neural responses, advancing quality assessment in synthetic media.

Naveen GudigantalaView profile

Associate Professor

• Decision Support Systems
• E-commerce
• Business Analytics
• +2 more

Dr. Naveen Gudigantala is Associate Professor of Business in the Operations and Technology Management department at the University of Portland. His research focuses on the design of decision support systems, e-commerce success factors, and ethical considerations in technology, particularly regarding AI applications in business. His recent scholarship examines AI implementation frameworks, business value optimization through artificial intelligence, and factors influencing organizational adoption of emerging technologies. Current projects address sustainability-profitability tradeoffs, AI maturity models, and decision frameworks for machine learning workflows. Earlier work investigated ethical dimensions of technology including algorithmic fairness in fintech, consumer behavior in gray markets, and misinformation detection strategies. He maintains parallel interests in digital marketing effectiveness, IT talent management, and healthcare information systems.

Murat KarabogaView profile

Lecturer

• Political Science
• Data Protection
• Regulatory Policy
• +3 more

Murat Karaboga is a political scientist and project manager at the Fraunhofer Institute for Systems and Innovation Research ISI in Karlsruhe, specializing in the Information and Communication Technologies (ICT) unit within the Department of Emerging Technologies. He concurrently serves as a Lecturer in Political Science at Goethe University Frankfurt’s Institute for Political Science. His academic journey includes a BA in Political Science, Philosophy, and Education from Philipps-Universität Marburg (2010) and an MA in Political Science from Goethe University (2013). He completed his PhD in 2021 under Prof. Sandra Seubert, focusing on GDPR emergence and privacy beliefs. His research emphasizes technology assessment, digital policy, and privacy governance. Key projects include studying voice/speech recognition, deepfake impacts, and eye-tracking privacy (PRETINA). He has contributed to EU policy analyses on AI regulation, data acts, and the Digital Services Act (DSA), advocating for privacy-preserving technologies and ethical AI integration. Notable publications span GDPR policy frameworks, blockchain privacy challenges, and ethical AI governance. His work bridges academic research with applied policy consulting, addressing societal implications of emerging technologies.

• Virtual Reality
• Augmented Reality
• Cybersickness
• +8 more

Lisa R Rebenitsch is an Assistant Professor at the South Dakota School of Mines and Technology, specializing in virtual reality research and computer science education. Her work focuses on cybersickness, immersive environments, and user interface design. B.S., South Dakota School of Mines & Technology Ph.D., Michigan State University Her research explores: Cybersickness and its physiological impacts Immersive CAVE environments and usability Virtual reality applications in geology education Postural stability metrics for VR sickness detection Collaborative student projects in computer science Recent publications emphasize cybersickness prediction models, VR display usability, and educational applications. The Virtual Reality Lab under her leadership investigates low-cost consumer systems, develops testing frameworks, and examines factors like color and contrast affecting motion sickness symptoms. Labs & Teams: Virtual Reality Lab at South Dakota School of Mines & Technology Equipped with VR headsets, Kat-mini 2D treadmill, rumble platform Access to 20 VR-ready computers with Vive Cosmo Elites

• Strategic Management
• Information Systems
• Business Analytics
• +3 more

Sergio Ribeiro, PhD, is an Associate Professor of Management at Crandall University. His educational background includes an AT from Pontifical Catholic University of Campinas, DipBA from University of Northern Parana, PGDipSE from Sao Luiz College, MCS from State University of Ponta Grossa, and PhD from Pontifical Catholic University of Paraná. He teaches courses including Strategic Organizational Management, Managerial Economics, Operations Management, Entrepreneurship, and Software Engineering Methodology. Research focuses on strategic digital cities, business information systems, computational agriculture, and evidence-based decision models. Publications emphasize urban digitalization, computational methods in agriculture, business informatics, and decision-support systems, utilizing techniques like machine learning and image classification. Awards include a Postdoctoral Fellowship at University of Regina, multiple scholarship awards from CAPES and University of Regina.

Samraat PawarView profile

Professor

• Ecology
• Climate Change Biology
• Ecosystem Function
• +5 more

Samraat Pawar is a Professor of Theoretical Ecology at the Department of Life Sciences (Silwood Park), part of the Faculty of Natural Sciences at Imperial College London. His research focuses on understanding how individual-level metabolic processes scale to community and ecosystem dynamics. He leads the Pawar Lab, which investigates ecological impacts of climate change, microbial interactions, and thermal physiology across multiple biological scales. Key affiliations include the Georgina Mace Centre for the Living Planet, the Grantham Institute, and the Silwood Park Campus. His expertise spans Ecology, Microbial Ecology, and Biodiversity Informatics, with particular emphasis on predicting ecosystem responses to global warming. Research interests include thermal performance curves, metabolic theory applications, and the role of species interactions in community stability. He collaborates widely on data standards for ecological traits (e.g., MIReVTD) and vector-borne disease dynamics. Recent work highlights the importance of metabolic plasticity and trait mismatches in ecological systems under climate change. His publications analyze temperature dependence in population growth, microbial community diversity, and predator-prey dynamics. He actively engages in conservation initiatives and interdisciplinary projects linking theoretical ecology with applied environmental challenges. Languages: Proficient in English, Marathi, Hindi, Spanish (Latin American), and Sanskrit reading/writing. His work integrates mathematical modeling, experimental ecology, and large-scale data analysis to address pressing ecological questions.

Burkhard SchaferView profile

Professor

• Computational Legal Theory
• Legal Informatics
• Artificial Intelligence Law
• +5 more

Professor Burkhard Schafer holds the Personal Chair of Computational Legal Theory at the School of Law, University of Edinburgh . He is also a Fellow of the Higher Education Academy (FHEA) and co-founder of the SCRIPT Centre for IT and IP Law , where he serves as Director. Additionally, he co-directs the Joseph Bell Centre for Legal Reasoning and Forensic Statistics . His research focuses on the intersection of law, computer science, and legal theory , particularly examining computational representations of legal thought, AI ethics, and the impact of technology on legal concepts like responsibility and liability. Notably, he contributes to the Ethics Framework for Legal Technology as chair of the AI4People working group and as a member of the Turing Institute's Data Ethics Group . Recent publications explore topics such as AI transparency , NFTs as digital property , and EU AI Act compliance . His work extends to projects like Creative Informatics and collaborations on autonomous vehicle liability and data ethics in creative industries . He also serves on the Law Society of Scotland's Legal Technologist Accreditation Panel .

Mike ThelwallView profile

Professor

• Scientometrics
• Metascience
• Bibliometrics
• +7 more

Professor Mike Thelwall is a Professor of Data Science at the School of Information, Journalism and Communication, University of Sheffield. He holds a BSc and PhD from Lancaster University. His research spans scientometrics, metascience, and social media analytics, with a focus on quantitative methods and AI applications in research evaluation. He leads the ESRC-funded AI Peer project assessing LLMs in research evaluation and studies scientific retractions and misinformation. Previously at the University of Wolverhampton (1989–2023), he founded the Statistical Cybermetrics Research Group, advancing bibliometrics and webometrics. He has supervised 22 PhD students and developed influential tools like SentiStrength (sentiment analysis), Mozdeh (social media analysis), and Webometric Analyst. Education: BSc in Mathematics, Lancaster University PhD in Library and Information Science, Lancaster University Research Interests: Bibliometrics and altmetrics AI applications in research evaluation (LLMs, machine learning) Sentiment analysis and social media metrics Research integrity and retractions Interdisciplinary collaboration analysis His work emphasizes reflexive methodologies and has been cited over 56,000 times. He received the de Solla Price Medal in 2015 and contributed to the Metric Tide review of UK research metrics. Current projects include assessing AI in peer review and societal impact of research via museums and galleries. Key Collaborations: European and international research networks UN agencies (UNDP, FAO) UKRI, ESRC, Gulbenkian Foundation

Armin SchmutzlerView profile

Professor

• Industrial Organization
• Environmental Economics
• Competition Policy
• +5 more

Armin Schmutzler is a Professor of Economics at the University of Zurich's Department of Economics, within the Faculty of Business, Economics and Informatics. He holds a Ph.D. in Economics from the University of Heidelberg (1991) and has held academic positions including Visiting Scholar at Stanford University (1992-1993) and Professorships at the Universities of Bonn and Essen. His research focuses on Industrial Organization, Environmental Economics, and Microeconomic Theory, exploring topics like competition policy, innovation strategies, environmental regulation, and transportation economics. Roles: Editor of the International Journal of Industrial Organization, Research Fellow at CEPR, and former Vice-President of the Swiss Competition Commission (WEKO). Education: Diplom in Mathematics (Heidelberg, 1987), Ph.D. in Economics (Heidelberg, 1991). Research Interests: Includes competition dynamics, innovation contests, and the environmental impacts of transportation policies. His work bridges theoretical and applied microeconomics, with notable contributions to procurement auctions, merger negotiations, and green innovation incentives. He has advised on policy matters related to competition and environmental regulation, and his research has been published in leading journals like the International Economic Review and European Economic Review.

Jennifer T SmilowitzView profile

Assistant Professor

• Nutrition
• Gut Microbiome
• Clinical Nutrition
• +5 more

Jennifer T. Smilowitz, Ph.D., is an Assistant Professor of Cooperative Extension at the University of California, Davis, in the Department of Nutrition. Her research focuses on the role of diet in shaping the gut microbiome across the lifespan, with particular emphasis on clinical nutrition and lactation during the critical first 1000 days of life. Dr. Smilowitz also serves as the director of the ORIANE Lab, which develops evidence-based interventions to address health equity through nutrition education and community engagement. Education: B.S., Molecular, Cell and Developmental Biology, University of California, Los Angeles Ph.D., Nutritional Biology, University of California, Davis Research Interests: Dr. Smilowitz investigates how dietary patterns influence gut microbiome composition and function, particularly in infants and young children. Her work bridges clinical research and community outreach, addressing gaps in health equity through initiatives like the ORIANE Lab’s multimedia educational programs and professional development training for healthcare providers. Outreach & Impact: Her programs emphasize culturally sensitive interventions to improve infant feeding practices, reduce chronic disease risk, and empower families through nutrition literacy. Recent efforts include analyzing the 2022 U.S. infant formula shortage’s impact on parental behavior and infant health outcomes. Labs & Teams: The ORIANE Lab (Outreach & Research Implementing Advancements in Nutrition Equity) employs multi-disciplinary strategies to translate scientific findings into actionable community health solutions, including dietary intervention trials and health professional training initiatives.