Find Academic Supervisors

• Amphibian Conservation
• Reptile Taxonomy
• Ecology
• +3 more

Conrad J. Hoskin is a researcher at James Cook University specializing in amphibian and reptile conservation , with a focus on Australian Wet Tropics ecosystems. His work bridges taxonomic discovery , population genetics , and climate change impacts on biodiversity. Key research themes: Amphibian decline, microendemic species conservation, and invasive species ecology Methodological expertise: Camera trapping, eDNA detection, and phylogenomic analysis Recent publications (2022-2024) reveal trends in: Climate resilience (fire recovery, extinction debt) Taxonomic innovation (new gecko/frog species) Technological applications (Raspberry Pi monitoring systems) Disease dynamics (chytridiomycosis vulnerability) Collaborators include Megan Higgie , Patrick Couper , and David Chapple , with significant contributions to amphibian conservation policy and rainforest ecosystem management .

• Virtual Reality
• Human-Computer Interaction
• 3D User Interfaces
• +5 more

Wolfgang Stuerzlinger is a Professor at Simon Fraser University's School of Interactive Arts & Technology, where he leads research in virtual reality, 3D user interfaces, and human-computer interaction. His work focuses on developing novel interaction techniques for virtual environments, with particular emphasis on eye-tracking systems, text entry methods, and immersive analytics. His research interests span multiple domains within human-computer interaction, with significant contributions to virtual reality interaction techniques, gaze-based interfaces, and 3D navigation systems. He has developed innovative approaches to eye-hand coordination training, text entry in VR, and multiscale environment navigation, advancing our understanding of how users interact with complex virtual spaces. Analysis of his recent publications reveals a strong focus on practical interaction techniques for virtual and augmented reality, with particular attention to gaze-based interaction, 3D pointing performance, and the development of novel input methods. His work often combines empirical studies with practical system development, resulting in both theoretical contributions and usable interfaces. Dr. Stuerzlinger has received recognition through numerous high-impact publications in top venues including CHI, IEEE TVCG, and VR conferences. His research has been consistently funded and has influenced both academic research and industry applications in the VR space. He actively supervises doctoral students and maintains extensive collaborations with researchers worldwide. His current work explores the integration of AI with user interface design, personalized navigation systems, and advanced techniques for distant object manipulation in virtual environments.

• Education Systems
• Information Systems
• Educational Technology
• +5 more

Professor Shona Leitch is a Professor and Associate Deputy Vice-Chancellor (Education – Learning, Teaching & Quality) at RMIT University's Education Portfolio. Her role focuses on strategic educational leadership, quality assurance, and innovation in teaching and learning. She is based at the City Campus in Australia and actively supervises research students in Masters and PhD programs. Leitch's research and teaching interests span pedagogy, educational technology, human-centered systems design, and ethical issues in computing. Her work emphasizes technology integration in education and cybersecurity policy implications. Notable research areas include ePortfolio implementation in business education, social media analytics, and cybersecurity frameworks for critical infrastructure. Her publications (2013–2022) address topics such as mixed modality education, data retention policies, cybersecurity policy comparisons, and ethical implications of social media. Recent work highlights blended learning strategies and cybersecurity challenges in industrial control systems. No scientific awards are explicitly noted, but her contributions to educational technology and cybersecurity policy are prominent. She advises on research related to technology ethics and pedagogical innovation. Her work is often collaborative, with co-authors in fields like information systems and education. Labs or teams are not explicitly mentioned, but her role in RMIT's Education Portfolio suggests involvement in institutional educational initiatives and cross-disciplinary projects.

Gaurab AryalView profile

Associate Professor

• Empirical Industrial Organization
• Econometrics
• Market Design
• +1 more

Gaurab Aryal is an Associate Professor of Economics at Boston University's Department of Economics, with previous positions at Washington University in St. Louis and the University of Virginia. He holds a Ph.D. in Economics from The Pennsylvania State University and specializes in empirical industrial organization. His research focuses on market design, pricing strategies, and competitive dynamics in industries such as airlines, insurance, and procurement. Key interests include econometric modeling of auctions, analysis of collusion mechanisms, and the impact of information asymmetries on market outcomes. Professor Aryal's work has appeared in leading journals including the Review of Economic Studies and American Economic Review, with recent studies examining airline subcontracting patterns, multidimensional insurance markets, and Cournot oligopoly frameworks. His research integrates theoretical modeling with innovative empirical approaches to address real-world competition policy questions. He has received multiple research grants including the Bankard Fund for Political Economy grant and Weidenaum Center award, supporting investigations into coordinated market behaviors and institutional design. Professor Aryal actively mentors graduate students and serves on departmental committees, including PhD admissions and executive committees. He teaches courses on market structure, auction theory, and empirical industrial organization.

Sebastian SteinView profile

Research Fellow

• Human-Computer Interaction
• Ubiquitous Computing
• Machine Learning
• +2 more

Dr. Sebastian Stein is a Research Fellow in the School of Computing Science at the University of Glasgow, working within the Inference, Dynamics and Interaction Research Group. His current research focuses on the EPSRC-funded project 'Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics' under Professor Roderick Murray-Smith. With a background spanning human-computer interaction, ubiquitous computing, and machine learning, his research integrates computer vision, action recognition, and intelligent interactive systems. He holds a PhD in Computing from the University of Dundee and a Diplom in Computer Science and Electrical Engineering from TU Dortmund. Stein's publications demonstrate expertise in multimodal sensing systems, rehabilitation engineering, probabilistic modeling interfaces, and intelligent transportation solutions. Recent work includes EEG-based pain biomarkers, interactive Bayesian models, and COVID-19 containment strategies through control theory. His technical contributions span healthcare applications like spinal cord injury rehabilitation, neuroprosthetics development, and urban computing platforms for built environment analysis.

Igor MenezesView profile

Senior Lecturer

• Artificial Intelligence
• Computer Vision
• Data Science
• +6 more

Dr. Igor Menezes is a Senior Lecturer (Associate Professor) in Organizational Behavior and People Analytics at the Hull University Business School, part of the University of Hull. He holds dual professional qualifications as a psychometrician and Chartered Psychologist (CPsychol), along with the Graduate Statistician (GradStat) status from the Royal Statistical Society. His academic journey includes postdoctoral research at the University of Cambridge (2013–2014) and a research associate role at the Judge Business School (2016). Education: BSc MSc PhD/DPhil Research Interests: Dr. Menezes specializes in applying advanced quantitative methods to organizational psychology, AI, and computer vision. His work bridges academic theory with practical applications, focusing on: Psychometric model development Causal inference and data science People analytics for business optimization AI-driven solutions for human-centric challenges Awards & Fellowships: Research Productivity Fellowship (CNPq, Brazil, 2014–2016) British Psychological Society Associate Fellowship (AFBPsS) Advising & Grants: With 17+ years of research leadership, he has managed multiple grants and supervised numerous students. Projects include collaborations with industry partners in the UK and Latin America, focusing on workplace behavior assessment and organizational performance improvement. Key Contributions: He has developed validated instruments like the Multidimensional Turnover Intentions Scale and the Cognitive Distortions Questionnaire for Adolescents, emphasizing practical impact through evidence-based methodologies.

Luming WangView profile

Associate Professor

• Machine Learning
• Information Privacy
• Virtual Reality
• +1 more

Luming Wang is an Associate Professor and F. Ross Johnson Fellow at the Asper School of Business, University of Manitoba. He specializes in Marketing with a focus on Machine Learning, Information Privacy, Virtual Reality, and Consumer Choice Modelling. B.A. and M.A. (Finance) – Nankai University (China) M.A. (Economics) – University of Alberta Ph.D. (Marketing) – University of Alberta His research explores cutting-edge areas such as message framing in privacy disclosure, consumer behavior in virtual environments, and advanced statistical methodologies for market analysis. Notable contributions include work on brand equity measurement using psychometric frameworks and cross-cultural product perception studies. His interdisciplinary approach bridges marketing theory with applications in consumer psychology and data science. Recent publications highlight trends in contextual choice modeling, emotional customer experiences, and causal analysis in market dynamics. Despite no explicitly listed awards, his work reflects impactful contributions to consumer behavior theory and methodological innovation. Wang teaches courses on Marketing Research and pro-social consumer behavior, emphasizing practical applications of theoretical insights. He has advised no formally listed students but maintains active research collaborations within the Asper School of Business and beyond.

Theresa Swift-ScanlanView profile

Professor

• Cancer Epigenetics
• Neurodegenerative Disorders Biomarkers
• Chronic Illness Epigenetics
• +3 more

Theresa Swift-Scanlan, Ph.D., RN, FAAN serves as the Director of the Biobehavioral Research Laboratory and holds the prestigious Ellen Fontaine Winston Distinguished Professorship at Virginia Commonwealth University School of Nursing. She maintains active faculty status with significant research leadership roles. Education: B.S. in Biology, Old Dominion University B.S.N. in Nursing, Johns Hopkins University M.S. in Marine Molecular Biology, University of Maryland Ph.D. in Nursing/Cancer Epigenetics, Johns Hopkins University Her research program centers on the epigenetics of chronic illness, with specific focus on identifying molecular biomarkers for cancer and neurodegenerative disorders. She investigates how environmental influences interact with biological and behavioral factors through epigenetic mechanisms. Her work spans breast cancer, neurodegenerative conditions, and hematopoietic stem cell transplantation outcomes. Analysis of her recent publications reveals strong emphasis on biomarker discovery across multiple disease states. Her work consistently integrates epigenetic, metabolomic, and miRNA profiling approaches to identify predictors of disease progression and treatment outcomes. Key thematic areas include cancer disparities, neurodegenerative disease monitoring, and the biological underpinnings of frailty. Scientific Recognition: Fellow of the American Academy of Nursing (FAAN) Dr. Swift-Scanlan actively mentors doctoral students including Buxhoeveden and serves as PI or Co-PI on numerous substantial grants. Her current funded research portfolio includes NIH R01 projects exceeding $2.2 million focused on genetic/epigenetic regulation of COMT and racial disparities in breast cancer outcomes. She collaborates extensively across VCU's Massey Cancer Center and School of Medicine. She directs the Biobehavioral Research Laboratory which utilizes advanced genomic and epigenomic technologies including Nanostring miRNA profiling and metabolomic analysis. Her team maintains active collaborations with the Langston Center for Innovation in Quality and Safety.

Tung KieuView profile

Assistant Professor

• Data Science
• Time Series Analysis
• Forecasting
• +4 more

Tung Kieu is a Tenure Track Assistant Professor in the Department of Computer Science at Aalborg University (Denmark), affiliated with The Technical Faculty of IT and Design and the Daisy Center for Data-intensive Systems. His research focuses on data engineering, time series analysis, anomaly detection, and machine learning applications in traffic forecasting and smart systems. Education: Ph.D. in Computer Science (Awarded May 2021). Research interests include time series forecasting, traffic modeling, robust autoencoder architectures for anomaly detection, and spatio-temporal data analysis. His work contributes to UN Sustainable Development Goals related to smart cities and infrastructure. Recent publications explore bias mitigation in text-video retrieval (BiMa), topology-aware traffic forecasting (TEAM), and stochastic routing in uncertain road networks. His frameworks emphasize lightweight algorithms (LightTS), causal relational learning, and continual calibration for quantized models (QCore). Collaborations involve international teams in data management and AI, with notable work on ensemble methods, explainable AI, and transfer learning in smart building systems.

Fie Falk LauritzenView profile

Assistant Clinical Professor

• Youth NEET Status Research
• Mental Health Epidemiology
• Physical Disease Impact Studies
• +3 more

Fie Falk Lauritzen is a Clinical Assistant Professor at Aalborg University's Faculty of Medicine and practicing physician at North Denmark Regional Hospital. Her dual clinical-academic role bridges medical practice with rigorous research in youth health outcomes and rheumatology. Her research interests focus on multidimensional analysis of youth NEET (Not in Education, Employment, or Training) status through three critical lenses: geographic influences, mental health impacts, and physical disease consequences. The fingerprint analysis reveals strong expertise in systematic review methodology (100% Medicine/Dentistry), labor market dynamics (83% Social Sciences), and European youth vulnerability frameworks. Her recent publication trajectory shows significant policy impact with 7 policy citations across 5 publications (2024-2025), particularly in European social policy development. All major works employ systematic/scoping review methodologies analyzing European youth cohorts, with her rheumatology study providing clinical depth through Danish population data. Lauritzen operates within a robust collaborative network centered around the Lindblad-Melgaard research group, with documented policy influence through EU-level youth employment initiatives. Her work demonstrates strong translational impact from academic research to social policy implementation, particularly regarding rural-urban disparities and mental health interventions for vulnerable youth populations.

• Building Information Modeling (BIM)
• Construction Management
• Optimization Algorithms
• +5 more

Claudio Benghi is an Assistant Professor in the Architecture and Built Environment Department at Northumbria University. He holds a PhD in Engineering awarded in March 2004. His research focuses on Building Information Modeling (BIM), optimization algorithms, interoperability in construction technologies, and sustainability in construction. Key areas include geometric optimization of BIM models, collaborative workflows in construction projects, and development of interoperable BIM software tools like the xBIM Toolkit. Dr. Benghi has produced 18 research outputs including peer-reviewed articles, book chapters, and conference papers. His work addresses challenges in MEP project optimization, IFC model validation, and digital plan of work automation. He collaborates with international researchers on projects like geometric optimization algorithms and constraints in BIM component design. His contributions span theoretical advancements and practical tools, such as the XBIM.Essentials library for interoperable applications. Recent research emphasizes circularity data integration in BIM standards and leveraging big data for construction value optimization. His publications highlight trends in BIM interoperability, AI applications in interactive art installations, and 5D modeling systems linking cost, schedule, and 3D models. He actively participates in conferences and journals like Automation in Construction and The Journal of Open Source Software. Notable projects include longitudinal interoperability tests for BIM components and automated verification of collaborative workflows. His work bridges civil engineering, computer science, and construction management to advance digital construction practices and sustainable building strategies.

• Financial well-being
• behavioural policy
• behavioural economics
• +5 more

Leonore Riitsalu is a Research Fellow in Behavioural Policy at the University of Tartu's Faculty of Social Sciences, specifically at the Johan Skytte Institute of Political Studies, where she has been working since January 2022 (with current appointment through 2025). She also serves as a board member at Nügila OÜ (since 2021) and previously held positions as a guest lecturer at Estonian Business School and as an Assistant of Sociology at the University of Tartu. Dr. Riitsalu earned her PhD in Management from Estonian Business School in 2019 with her dissertation 'Books and Biases - the Explanation for Bounded Rationality in Managing Personal Finances,' supervised by Katri Kerem. She previously completed her Master's Degree in Consumer Behaviour in Money Matters at the same institution in 2013. Her educational background also includes a BBA from Estonian Business School, an Erasmus exchange at Strathclyde University, and secondary education at Tallinn Secondary Science School. Her research focuses on financial well-being, behavioral policy, behavioral economics, economic psychology, financial literacy, and nudging. Her work examines how psychological factors influence financial decision-making, with particular attention to pension literacy, consumer credit behavior, and the relationship between self-control, future time perspective, and financial well-being. She investigates how financial well-being changes across the lifespan and differs across cultural contexts. Her publication record shows a consistent focus on empirical studies of financial decision-making, with recent work emphasizing longitudinal assessments of financial well-being across Europe, the impact of behavioral interventions on retirement decisions, and cross-cultural comparisons of financial literacy. Her research combines experimental methods with large-scale survey data to develop evidence-based policy recommendations. Dr. Riitsalu actively supervises doctoral students, currently guiding Pirjo Turk's research on 'Applying behavioural insights to decrease the digital data waste' and Kristiina Vain's work on 'The relationship between well-being and financial well-being in Central and Eastern Europe and Estonia.' She has secured multiple research grants from institutions including the European Social Survey, Erste Foundation, Ministry of Social Affairs, and Ministry of Finance. She leads significant research projects including the Estonian Center of Excellence of Well-Being Sciences (2024-2030), Longitudinal Financial Well-being Assessment in Turbulent Times, and a Human-centred approach for increasing financial well-being of individuals and societies. Her work bridges academic research with practical policy applications through collaborations with governmental bodies and financial institutions.

Adrien BouguenView profile

Assistant Professor

• Economics of Education
• Development Economics
• Agricultural Economics
• +3 more

Adrien Bouguen is an Assistant Professor of Economics at Santa Clara University's Leavey School of Business. His research focuses on the economics of education, development economics, and agricultural economics, with a particular interest in how human capital accumulates over lifetimes and the policies that can enhance this process. He conducts field experiments in both low-income countries (Cambodia, Burkina Faso, Ethiopia) and France, collaborating with global institutions like IPA, J-PAL, the World Bank, and CEGA. Bouguen holds a PhD from the Paris School of Economics. His research explores topics such as teacher training efficacy, preschool provision impacts, agricultural technology adoption, and multidimensional poverty reduction programs. He emphasizes evidence-based policy design through randomized controlled trials and large-scale social experiments. At Santa Clara, he teaches courses on the Economics of Education and Data Analysis & Econometrics. Education: PhD in Economics from Paris School of Economics Collaborations: IPA, J-PAL, World Bank, CEGA Methodology: Experimental economics, program evaluation, Stata-based statistical tools His work bridges theory and practice, addressing real-world challenges in education access, rural development, and human capital formation. Recent projects include analyzing the effects of preschool construction programs in Cambodia and evaluating agricultural extension programs in Ethiopia.

Haibing LuView profile

Professor

• AI Fairness and Governance
• Data Security & Privacy
• Big Data Analytics
• +4 more

Haibing Lu is a Professor and Department Co-Chair of Information Systems & Analytics at Santa Clara University's Leavey School of Business. He holds a Ph.D. in Information Technology from Rutgers University (2011), and B.S./M.S. in Mathematics from Xi'an Jiaotong University (2002/2005). His research focuses on AI fairness, data privacy, cybersecurity, and big data analytics, addressing real-world challenges in healthcare, transportation, and cloud computing. Education: Ph.D. in Information Technology, Rutgers University, 2011 M.S. in Mathematics, Xi'an Jiaotong University, 2005 B.S. in Mathematics, Xi'an Jiaotong University, 2002 Research interests include: AI governance and ethical frameworks Privacy-preserving technologies (e.g., differential privacy) Cybersecurity for IoT and smart grids Applications of machine learning in healthcare and transportation His work has been featured in prestigious journals like IEEE Transactions on Dependable and Secure Computing, ACM Transactions on MIS, and M&SOM, alongside media outlets such as The New York Times and WIRED. Key publications include studies on AI fairness in LLMs, privacy in cloud computing, and secure authentication protocols. Awards include: AACSB Innovations That Inspire Award (2021) M&SOM Best Paper Award Repeated SCU Leavey School Excellence Awards for Teaching/Research/Service Grants and funding sources include NSF, IBM, PARC, and industry partnerships like AKTANA and Ultimate Software. He advises on interdisciplinary projects involving data science, cybersecurity, and sustainable energy systems. Labs/Initiatives: Leads research in Information Systems & Analytics at SCU, with collaborations on metaverse-driven data management and AI governance frameworks.

Sohee KimView profile

Assistant Professor

• Item Response Theory
• Educational Measurement
• Multidimensional Models
• +3 more

Dr. Sohee Kim is an Assistant Professor in the Instructional Design and Development Program at the University of South Alabama’s Department of Counseling and Instructional Sciences. She holds a Ph.D. in Educational Psychology (Research, Evaluation, Measurement, and Statistics) from Oklahoma State University (2019), following earlier degrees from Sungshin Women’s University in South Korea. Her research focuses on Item Response Theory (IRT), multidimensional models, linking/equating, and assessment methodologies, combining simulation studies with empirical data to address both theoretical and practical challenges in educational measurement. She collaborates with institutions like Oklahoma State University and the University of Georgia on projects involving psychometrics and structural equation modeling. B.S., Education & Korean Literature (2009), Sungshin Women’s University M.A., Measurement and Evaluation (2013), Sungshin Women’s University Ph.D., Educational Psychology (2019), Oklahoma State University Her recent work explores social media’s impact on mental health, AI literacy among educators, and cross-cultural education equity. She emphasizes collaborative learning in her teaching of quantitative methods and research design. Though no awards are listed, her interdisciplinary research bridges educational statistics with societal issues like disordered eating and doomscrolling. Dr. Kim’s advising and grants involve graduate-level mentorship and partnerships on large-scale surveys. She contributes to initiatives such as the Samsung Dream Scholarship’s educational support programs. While no specific labs are mentioned, her collaborations span universities and disciplines, reflecting her commitment to applied and theoretical research.