Find Academic Supervisors

• Entrepreneurship Development
• SMEs Exports and Innovation
• Applied Economics
• +3 more

Dr. Viet Le is a Lecturer in Entrepreneurship at Swinburne University of Technology's School of Business, Law and Entrepreneurship. He specializes in teaching entrepreneurship, innovation, and economics, and chairs the Industry Consulting Project unit. His research focuses on SMEs' export dynamics, innovation, and productivity, particularly in the Asia-Pacific region. He holds a PhD from the University of Wollongong and MAs from the University of Auckland and National University of Singapore. Research Interests: Entrepreneurship development, SME efficiency, international trade barriers, and applied economics. Recent grants include a Vietnam MOET PhD scholarship (2017–2020). He has supervised numerous PhD projects on topics like blockchain in green finance, digital technology adoption, and social enterprise sustainability. Teaching Activities: Leads courses on business innovation, economics for entrepreneurship, and chairs industry-linked consulting projects. Advises on over 15 HDR students focusing on global competitiveness, SME challenges, and emerging markets. Key Contributions: Published widely on SME export barriers, digital adoption, and tourism leadership. His work bridges theoretical frameworks (e.g., TOE, DOI theory) with practical policy recommendations for enhancing SME competitiveness.

Ariya SangwongwanichView profile

Associate Professor

• Power Electronics
• Photovoltaic Systems
• Grid-Connected Converters
• +5 more

Ariya Sangwongwanich is an Associate Professor at the Department of Energy Technology, Aalborg University, within the Faculty of Engineering and Science. He leads the Sustainable Power Electronics and Electrification (SPELL) research program and has conducted visiting research at RWTH Aachen (2017) and the University of Cambridge (2023). Education: B.Eng. in Electrical Engineering, Chulalongkorn University (2013) M.Sc. in Energy Engineering, Aalborg University (2015) Ph.D., Aalborg University (2018) His research focuses on power electronics, grid-connected converters, photovoltaic systems, and reliability/sustainability in energy systems. Recent work emphasizes fault diagnosis, digital twin technology, and battery-PV system interactions. Notable scientific awards include the Danish Academy of Natural Sciences' Ph.D. Prize (2019), Spar Nord Foundation Research Award (2019), IEEE IPEMC-ECCE Asia Best Paper Award (2020), Best Presentation Awards at IEEE APEC (2016, 2021), and a DFF Sapere Aude Starting Grant (2024). Key projects include: GreenMag: Green High-Power Planar Magnetic Components (2025-2029, Innovation Fund Denmark) CirclePE: Circular Power Electronics for Green Transition (2025-2028, Independent Research Fund Denmark) OMRES: Operation & Digital Twin Solutions for Hybrid Renewable Energy (2025-2027, Horizon Europe) TEAMING: Predictive Maintenance for e-Powertrains (2024-2027, Horizon Europe) ALL2GaN: GaN IC Solutions for Greener Applications (2023-2026, Horizon Chips)

• Graph Algorithms
• Machine Learning
• Scientific Computing
• +3 more

Junyuan Joanne Lin is an Assistant Professor in the Department of Mathematics, Statistics and Data Science at Loyola Marymount University's Frank R. Seaver College of Science and Engineering. Her academic appointments include active roles in curriculum development and student advising committees. Education: PhD in Mathematics, Tufts University (2019) MS in Mathematics, Tufts University (2016) BS in Mathematics, Pepperdine University (2014) Research Focus: Dr. Lin develops computational frameworks at the intersection of graph theory and machine learning. Her work spans: Scalable algorithms for dynamic network analysis Healthcare applications using knowledge graphs Social media discourse modeling High-performance numerical methods She maintains interdisciplinary collaborations across sports science, public health, and computational social science. Publication Trends: Recent works (2021-2025) demonstrate strong emphasis on real-world applications: 40% focus on health informatics (telehealth, COVID-19, medical imaging), 30% on social network analysis (QAnon, hate speech), 20% on algorithmic innovation (graph sparsification, recommendation systems), and 10% on sports science. Awards & Grants: NSF DMS-2418877 (PI) SIAM Early Career Travel Award DREAM Challenge Best Performer PIC Math Grant (MAA/SIAM) Multiple Tufts University excellence awards Service & Leadership: Currently serves as NSF Review Panelist (2024-2025) and Associate Editor for SIAM Undergraduate Research Online. At LMU, she chairs the Math Club/Pi Mu Epsilon committee and contributes to Statistics curriculum development. Previously mentored through Tufts' Bridge to Engineering program.

• Computational Biology
• Genomics
• Quantum Computing
• +4 more

Jonathan Warrell is an Associate Research Scientist at the Yale School of Medicine, specializing in computational biology and interdisciplinary research at the intersection of quantum computing, machine learning, and biomedical applications. His work focuses on spatial genomics, protein phase separation modeling, and AI-driven drug discovery. Key collaborations include projects with Mark Gerstein (quantum computing), David Rimm (immunotherapy biomarkers), and Alexander Urban (single-cell genomics). Research Interests: Development of quantum machine learning frameworks for drug design Spatially resolved transcriptomics analysis in cancer immunotherapy Graph-theoretical approaches to protein phase separation modeling Evolutionary frameworks for cultural and biological systems Recent Work Trends: His publications (2022-2025) emphasize integration of quantum computing methods with biological data analysis, spatial multi-omics approaches for cancer research, and computational modeling of complex biological systems. Notable projects include the 388-human-brain single-cell genomics study and AI-driven T-cell receptor design for cancer therapy. Advising & Grants: No trainees listed. Active in collaborative grant-funded projects involving Yale's Department of Genetics and Computational Biology Institute, though specific grants are not detailed in the provided text.

• Public Policy
• Food Insecurity
• Neighborhood Environments
• +5 more

Lori Kowaleski-Jones is a Professor in the Department of Family and Consumer Studies at the University of Utah, where she has served as department Chair (2015-2021) and currently directs the Interdisciplinary Exchange for Utah Science (NEXUS) and the Wasatch Front Research Data Center. She holds an additional Adjunct Professor appointment in Sociology and Criminology. Education: Ph.D. in Sociology from The Ohio State University (1996), Postdoctoral Fellow at Northwestern University's Institute for Policy Research (1996-1999) Her research focuses on the intersection of public policy , neighborhood environments , and family factors in determining health outcomes across the life course. Current work examines intergenerational diabetes transmission using Utah Population Database data and explores innovative approaches to expand tax credit program reach through healthcare partnerships. Key research areas include built environment effects on health , food insecurity , and social determinants of obesity . Recent publications emphasize neighborhood walkability , community gardening benefits , and familial diabetes risk patterns. She has secured significant grants from NIDDK, Schmidt Futures, and The Noorda Foundation. Scientific Awards: Distinguished Teaching Award (2018) Superior Teaching Award (2016) Poster Award (Population Association of America, 2010) Her teaching includes Survey Methods for Public Policy , Families and Social Policy , and Social Science and Healthcare . She actively mentors junior scholars and has led interdisciplinary collaborations across healthcare, education, and community sectors.

Steve Eugene WatkinsView profile

Professor

• Smart Sensor Systems
• Fiber Optics
• UAV Instrumentation
• +4 more

Steve Eugene Watkins is a Professor in the Department of Electrical and Computer Engineering at Missouri University of Science and Technology . He serves as the Director of the Applied Optics Laboratory (APOL) and has held leadership roles including Interim Department Chair (2020-2022), IEEE-HKN President (2018), and IEEE Education Society Vice-President (2019-2022). Education: PhD (1989) and MS (1985) in Electrical Engineering from University of Texas at Austin and University of Missouri–Rolla respectively. Research Interests: Smart sensor systems, UAV instrumentation, fiber optic sensing, structural health monitoring, and pre-college engineering outreach. Awards: ASEE Meritorious Service Award (2023) SPIE Fellow (2018) IEEE-HKN Distinguished Service Award (2021) Toastmasters Presidential Citation (2003) Professional Activities: Advisor to IEEE-HKN and Tau Beta Pi, co-coordinator of S&T Pre-college Robotics Summer Camp, and inventor of a U.S. Patent (7,603,004) for neural network demodulation in optical sensors.

Shannon LynchView profile

Assistant Professor

• Multilevel Data Integration/Analysis
• Machine Learning
• Cancer Risk Prediction Modeling
• +5 more

Shannon Lynch is an Assistant Professor in the Department of Cancer Prevention and Control at Fox Chase Cancer Center and the Lewis Katz School of Medicine, Temple University.She holds roles as Assistant Director of the Office of Community Outreach and Engagement and Co-Director of the Center for Biostatistics and Epidemiology. Her research focuses on integrating multilevel data (biological, behavioral, and environmental) to address cancer disparities, leveraging machine learning and geospatial methods. Key areas include precision public health, cancer risk prediction modeling, and neighborhood-environment interactions. Education: PhD in Epidemiology, University of Pennsylvania (2015) MPH in Environmental and Occupational Health, George Washington University (Date unspecified) Bachelor’s in Molecular and Cellular Biology, Marymount University (Date unspecified) Research Interests: Multilevel data integration, machine learning applications in oncology, geospatial cancer cluster analysis, telomere biology in aging and cancer, and interventions to reduce health disparities. She emphasizes translating findings into actionable public health strategies. Key Awards: Top 20 most downloaded article in Obesity, Science and Practice (2017) AACR Women Scholar-in-Training Award (2016) NIH F31 Grant (2013-2015) for telomere length research Clare Booth Luce Scholarship (1999-2003) Grants & Funding: Supported by the Department of Defense, American Cancer Society, and Pennsylvania Department of Health. Current projects focus on pancreatic and prostate cancer disparities, leveraging neighborhood data platforms. Lab Activities: Specializes in neighborhood data integration (e.g., NDS-PANJ platform) to identify high-risk communities and improve clinical decision-making. Collaborates on precision medicine approaches and geospatial cancer burden mapping.

Michael GulbisView profile

Researcher

• Digital Audio Watermarking
• Multimedia Integrity Protection
• Content-Based Authentication
• +3 more

Dr.-Ing. Michael Gulbis is affiliated with the Institute of Communications Engineering at the University of Rostock, part of the Faculty of Computer Science and Electrical Engineering . He completed his PhD in 2013 with a thesis on audio authentication via content-fragile watermarks. His research focuses on digital audio watermarking, multimedia integrity protection, and content-based authentication techniques. He was a PhD student at the institute from 2005 to 2010 and has since contributed to multiple international conferences and journals in the field of signal processing and multimedia security. Key research areas include audio falsification detection, robust audio feature extraction, and high-capacity watermarking systems. His work addresses challenges like distinguishing malicious audio modifications from legitimate post-production processes. Notable achievements include the Best Paper Award at the 2007 IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing. Publications span topics such as synchronization approaches for audio authentication, hierarchical watermark embedding, and combining multilevel manipulation estimation with watermarking. His research bridges theoretical advancements with practical applications in digital forensics and data integrity verification.

Linying JiView profile

Assistant Professor

• Machine Learning
• Physiological Modeling
• Sleep Health
• +6 more

Linying Ji is an Assistant Professor at Montana State University, specializing in interdisciplinary research that combines machine learning with physiological and behavioral health studies. Her work primarily focuses on sleep health, cognitive performance, and inflammatory biomarkers in aging populations. Research Interests: Ji develops advanced methodologies for analyzing longitudinal and intensive longitudinal data, particularly in sleep research. She employs machine learning techniques to model affective experiences, studies sleep variability, and investigates how social factors moderate health outcomes in older adults. Key Publications Trends: Her recent work emphasizes actigraphy data analysis, missing data handling in multilevel studies, and the intersection of sleep patterns with neurodegenerative biomarkers. She frequently contributes to methodological innovations in dynamic modeling and statistical frameworks.

Alpo VärriView profile

Associate Professor

• Health Informatics
• Biomedical Signal Processing
• Medical Device Standards
• +3 more

Alpo Värri is an Associate Professor and Research Director in Biomedical Technology at Tampere University. He holds a Docent title in Health Informatics (2018-2023) and has expertise in signal processing (2002-2014). His academic background includes a Doctor of Science in Electrical Engineering (1992) and Licentiate in Information Technology (1988). Research focuses on healthcare technology standards, medical device interoperability, and biosignal analysis with applications in neonatal care and cardiovascular diseases. Notable contributions include work on AI regulation for medical devices and cybersecurity in healthcare systems. He has published 243 research outputs across journals, conferences, and standards contributions. Received multiple IEEE Standards Association recognitions (2020, 2021, 2023) and Finnish IT standardization awards (2012). Active in editorial roles for eHealth journals and conference organization, including chairing eHealth 2024. Engaged in national and international standardization activities related to healthcare technology.

Lucio Vinicius CastilhoView profile

Senior Lecturer

• Cumulative Culture
• Human Evolutionary Biology
• Language Evolution
• +3 more

Dr. Lucio Vinicius Castilho is a Senior Lecturer specializing in evolutionary anthropology, focusing on the intersection of human behavior, cultural evolution, and hunter-gatherer societies. His research explores how cumulative cultural capacities emerged in hominins, the evolution of language from primate communication, and the social networks that facilitated complex human cooperation. Teaches courses on Evolution of Human Behaviour, Human Behavioural Ecology, and Current Debates in Evolutionary Biology at the university level. Focuses on interdisciplinary approaches combining anthropology, genetics, and social network analysis. His research interests include: Cultural Evolution: Examining how multilevel social structures accelerate knowledge transmission in hunter-gatherer communities Language Origins: Investigating links between speech production, stone tool technology, and brain imaging data Social Evolution: Analyzing the role of sex equality and mobility patterns in shaping hunter-gatherer social organization His recent articles reveal a focus on hunter-gatherer populations across diverse regions (Africa, Asia, South America), emphasizing network structures, genetic-demographic histories, and cultural transmission processes. Over 30 publications since 2001 reflect sustained contributions to evolutionary anthropology. No scientific awards listed, though his work has been widely cited in anthropology and evolutionary studies. No advising or grant information provided in available texts. Active in collaborative research with institutions studying hunter-gatherer societies globally.

Tom SnijdersView profile

Professor

• Social Networks
• Multilevel Analysis
• Stochastic Models in Social and Behavioral Sciences
• +3 more

Prof. Tom Snijders is a Full Professor at the University of Groningen's Faculty of Behavioural and Social Sciences, affiliated with the Sociology/ICS department. He holds an Emeritus Fellow position at Nuffield College, University of Oxford. His research focuses on social networks, multilevel analysis, stochastic models, and statistical methodologies in social sciences. He has authored 260+ publications and supervised 50+ students. Key research interests include network dynamics, computational modeling, and quantitative methods. Recent work explores opinion dynamics, peer relationships in education, and co-evolution in corporate networks. He has received prestigious awards like the William D. Richards Jr. Software Award (2017) and a 2013 award for network evolution studies. Snijders has contributed to academic governance, serving on editorial boards (e.g., Edward Elgar Publishing) and as Chair of the Scientific Council at the Institute for Advanced Study in Toulouse. His work aligns with UN SDGs through contributions to education quality and sustainable communities.

Wouter KiekensView profile

Assistant Professor

• LGBTQ+ Youth Studies
• Mental Health in Adolescents
• Substance Use Patterns
• +5 more

Dr. Wouter Kiekens is an Assistant Professor in the Department of Sociology at the University of Groningen's Faculty of Behavioural and Social Sciences. His research focuses on LGBTQ+ youth mental health, substance use, and school safety disparities. He leads projects like 'Thriving Under Stress,' examining minority stress resilience among sexual minority adolescents. His work integrates innovative methods such as experience sampling and social network analysis. Key research themes include the impact of school policies (e.g., Gender-Sexuality Alliances), bullying prevention, and protective factors for vulnerable youth. Collaborators include Laura Baams, Ruby van Vliet, and Rozemarijn van der Ploeg. His findings influence policy through meta-analyses of school safety interventions and advocacy strategies. Education: PhD in Sociology (implied by academic rank) Key Projects: School Safety Meta-Analysis, LGBTQ+ Youth Advocacy in GSAs Public Engagement: Media commentary on LGBTQ+ youth challenges (e.g., Dutch media features) His publications (46+) address mechanisms linking minority stress to health outcomes, with a focus on adolescent development and institutional policies.

Lindsey PotterView profile

Researcher

• Health Disparities
• Stigma and Discrimination
• Behavioral Health
• +3 more

Lindsey Potter, PhD, is an academic researcher at the Huntsman Cancer Institute (HCI), University of Utah, affiliated with the Center for HOPE. She holds a PhD in Biobehavioral Health from Pennsylvania State University and a Master's in Public Health from Drexel University. Her research focuses on understanding how stigma and discrimination influence health risks, particularly through stress, affective responses, and social interactions. She employs advanced methodologies like ecological momentary assessment (EMA), multilevel modeling, and mHealth technologies to explore pathways to health disparities and develop adaptive interventions. Dr. Potter’s work emphasizes translating foundational research into real-world applications, such as just-in-time adaptive interventions for tobacco cessation. Her expertise spans biopsychosocial correlates of discrimination, digital health innovations, and intersectional approaches to health equity. She has contributed to studies on tobacco use, food insecurity, and micro-randomized trial designs, leveraging longitudinal data to inform behavioral theories and intervention strategies. Her academic contributions include over 20 peer-reviewed publications since 2015, with recent focus on temporal and affective dynamics in health behavior change. While no formal grants or student advisement are listed, her research consistently addresses critical gaps in understanding and addressing health inequities through methodological innovation.

• Biobehavioral influence on patient outcomes
• Pain and opioid use analysis
• Risk prediction tools in clinical practice
• +3 more

Terrie Vasilopoulos, PhD, is an Associate Professor in the University of Florida's Departments of Anesthesiology and Orthopaedic Surgery & Sports Medicine, and Chief of the Division of Education Research and Scholarship in Anesthesiology. She joined UF in 2014 as an Assistant Professor. Her research focuses on biobehavioral influences on patient outcomes, particularly pain and opioid use, and the development of clinical risk prediction tools. She also evaluates educational technologies for clinical trainees. Education: Bachelor’s in Biology, Saint Vincent College (Latrobe, PA) PhD in Biobehavioral Health, Pennsylvania State University Postdoctoral training in Psychiatry & Behavioral Neuroscience, University of Chicago Research Interests: Biostatistical analysis in clinical and basic sciences Longitudinal analysis, multilevel modeling, and structural equation modeling Educational research in clinical training methodologies Development of clinical prediction tools for pain management and surgical outcomes Publications Overview: Dr. Vasilopoulos has published extensively on orthopaedic surgery outcomes (e.g., shoulder arthroplasty), biostatistical methodologies, and pain management strategies. Recent work emphasizes Bayesian statistical approaches in surgery and predictors of postoperative success in joint replacements. Awards: Graduate Statistician (GStat) Certification, American Statistical Association Grants & Advising: Active in grant-funded research (e.g., Co-Investigator on a 2024 grant analyzing lower back pain mechanisms). No formal advisee list provided in the text. Labs/Teams: Leads the Division of Education Research and Scholarship in Anesthesiology, focusing on improving clinical training through data-driven approaches.