Find Academic Supervisors

Yi-Ju TsengView profile

Professor

• Medical Informatics
• Clinical Decision Support
• Artificial Intelligence
• +5 more

Yi-Ju Tseng is a Professor at the Department of Computer Science, National Yang Ming Chiao Tung University (NYCU), and an affiliated faculty member at the Computational Health Informatics Program (CHIP) at Boston Children’s Hospital. She holds a PhD from National Taiwan University and has extensive experience in claims data analysis, electronic medical record analysis, and data mining techniques applied to healthcare. Her research focuses on improving disease surveillance, clinical decision support systems, and applying AI/machine learning to medical data. Notable projects include developing systems for antibiotic susceptibility prediction using MALDI-TOF data and smart thermometer-based participatory surveillance for viral transmission. She also contributed to healthcare-associated infection surveillance systems at NTUH and CGMH. Dr. Tseng teaches data analysis and programming courses and has developed R packages like dxpr , pharm , and lab to streamline clinical data analysis. She has received awards such as the MOST Young Scholar Fellowship (2018–2022) and the NYCU Remarkable New Faculty Award (2021). Her work bridges informatics and clinical practice, with publications in journals like JAMA , npj Digital Medicine , and International Journal of Medical Informatics . She serves on editorial boards for Frontiers in Public Health and BMC Medical Informatics and Decision Making , and reviews for top conferences like AMIA and HEALTHINF.

Mario HarperView profile

Assistant Professor

• Machine Learning
• Data Science
• Robotics
• +2 more

Mario Harper is an Assistant Professor in the Department of Computer Science at Utah State University. His research emphasizes Machine Learning, Data Science, Robotics, and their intersections with Finance and Artificial Intelligence. He specializes in autonomous systems, energy-efficient robotics, and AI-driven solutions for transportation and urban sustainability. His work includes developing tools like simulators for electric vehicle systems and stealth-centric navigation algorithms inspired by biological systems. Key research areas include multi-robot coordination, reinforcement learning applications in robotics, and algorithmic approaches to environmental and economic challenges. He has contributed to projects like POSEIDON-SAT for satellite-based fishing vessel detection and electrified transportation equity analysis in urban settings. His publications span topics from trajectory planning in legged robots to AI modeling for economic systems. Beyond research, he designs interactive visualization tools to support policy decisions on sustainable transportation infrastructure. No scientific awards are explicitly listed in the provided information. Mario Harper’s advising and grants focus on robotics, energy systems, and AI applications, though specific student advisees or grant details are not detailed here. He collaborates on projects involving lab tools such as the Unknown Building Exploration Simulator (UBES) and Stealth Centric Autonomous Robot Simulator (SCARS), advancing robotic autonomy in unstructured environments.

Liqing ZhangView profile

Professor

• Bioinformatics
• Data Analytics
• Machine Learning
• +3 more

Liqing Zhang is a Professor in the Department of Computer Science at Virginia Polytechnic Institute and State University (Virginia Tech), part of the College of Engineering. His research focuses on bioinformatics, data analytics, and machine learning applications in genomics and environmental science. He holds a Ph.D. in molecular evolution from the University of California, Irvine, and a B.S. in biochemistry from Lanzhou University, China. His work emphasizes antibiotic resistance gene analysis, metagenomic data processing, and predictive modeling for environmental and public health challenges. Notable contributions include developing computational tools like CIWARS for antibiotic resistance surveillance and MetaCompare for risk assessment. His research also explores viral genomics, wastewater-based epidemiology, and interdisciplinary approaches to microbiome-related diseases. Zhang’s publications span 2025 to 2017, with recent work addressing antibiotic resistance tracking in wastewater, machine learning-driven pathogen identification, and multi-omics integration for Alzheimer’s prediction. He collaborates on projects involving microbial ecology, environmental health risks, and computational infrastructure for bioinformatics workflows.

John AbbottView profile

Associate Professor

• Entomology
• Odonatology
• Biogeography
• +3 more

Dr. John Abbott is an Associate Professor and Chief Curator at the University of Alabama Museums , where he leads the Department of Museum Research & Collections. With a PhD in Entomology from the University of North Texas (1999), his career spans academic research, conservation initiatives, and public outreach. Education: PhD (1999), MS (1998) from University of North Texas; BS (1993) from Texas A&M Academic Role: Associate Professor at University of Alabama Museums since 2016 Research Leadership: Editor-in-Chief of International Journal of Odonatology Research Focus: Specializes in Odonatology (dragonfly and damselfly studies), combining systematics , biogeography , and conservation biology with innovative citizen science approaches. Key projects include: Conservation genetics of endangered dragonflies Population dynamics of American Burying Beetle Citizen science data collection networks Field guide development (Texas and North America) Wing evolution and digitization projects Scientific Contributions: Author of 4+ field guides, with 1500+ research photos documenting global insect diversity. His work appears in journals like Freshwater Biology and Biological Invasions . Awards: Notable recognition includes the Hamilton Book Award at UT Austin for his Damselflies of Texas publication. Outreach: Active nature photographer and science communicator, maintaining platforms like OdonataCentral and PondWatch for public engagement.

Wingyan ChungView profile

Professor

• Business Analytics
• Machine Learning
• Social Media Analytics
• +6 more

Dr. Wingyan Chung is a Professor of Computer Science in the Soules College of Business at The University of Texas at Tyler. He holds a Ph.D. in Management Information Systems from the University of Arizona, along with M.S. and BBA degrees from The Chinese University of Hong Kong. His expertise spans business analytics, machine learning, cybersecurity, and human-computer interaction, with a focus on applying these disciplines to social media analytics, data mining, and policy informatics. Education: Ph.D., MIS (University of Arizona); M.S., IT Mgmt (Chinese University of Hong Kong); BBA (Honors) (Chinese University of Hong Kong) Affiliations: Former faculty at University of Central Florida, UNC Western Carolina, University of Texas at El Paso; visiting appointments at University of Arizona, University of Hong Kong, and Chinese University of Hong Kong Dr. Chung has published over 120 refereed articles in top journals and conferences, including Journal of Management Information Systems , Information & Management , and IEEE Computer . His research focuses on social media analytics for policy surveillance (e.g., U.S. border security, public health), cybersecurity frameworks, and business intelligence systems. He has secured over $7M in research funding from NSF, DoD, DHS, and industry partners like Intel and P&G. His awards include Senior Member status from AAAI, ACM, and IEEE, and the Excellence in Research Award from UCF. His teaching spans courses in cybersecurity informatics, machine learning, and database systems, with a focus on integrating real-world applications into curricula. Key research labs include the Cyber Intelligence Lab (UCF) and Business Analytics Lab (UNC Western Carolina). He contributes to editorial roles at International Journal of Engineering Business Management and Informatics , and has served on NSF-funded initiatives like the Computing in Context Project.

Avgoustis AvgoustiView profile

Researcher

• Digital Cultural Heritage
• Digital Humanities
• Research Software Engineering
• +8 more

Dr. Avgoustis Avgousti is a Senior Research and Technical Scientist at The Cyprus Institute's Science and Technology in Archaeology and Culture Research Center (STARC). He specializes in Research Software Engineering for Digital Humanities and Digital Cultural Heritage Informatics. With over 13 years at STARC, he leads digital transformation initiatives, focusing on advanced computational tools and methodologies to bridge technology and cultural heritage. Originally based in New York City, Dr. Avgousti completed a Postdoctoral Fellowship at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign, where he contributed to software engineering and cultural heritage research. His expertise spans Big Data applications, semantic web technologies, and digital accessibility for cultural heritage institutions. His research interests emphasize democratizing access to small museum collections through platforms like CyprusArk, semantic content models, and interoperable digital systems. He advocates for reusable frameworks that empower non-technical scholars and small institutions. As a former college lecturer, he prioritizes education and mentorship in digital heritage. Dr. Avgousti’s work addresses challenges in digitizing archaeological and historical datasets, integrating computational methods into heritage preservation, and fostering international collaboration in cultural informatics. His projects often involve building web-based systems for data aggregation and public dissemination.

Johanna T. GunawanView profile

Assistant Professor

• Dark Patterns
• Human-Computer Interaction
• Privacy Law
• +4 more

Johanna T. Gunawan is an Assistant Professor of Computer Science and Law at Maastricht University's Faculty of Law, affiliated with the Law and Tech Lab. Her research bridges human-computer interaction, design, and legal frameworks to address dark patterns, privacy erosion, and consumer protection gaps in digital systems. PhD in Cybersecurity (2024), Northeastern University MS in Cybersecurity (2021), ALIGN Scholar BA in Political Science & International Affairs (2019), Northeastern University Gunawan's research focuses on manipulative interface designs, digital asymmetries, and legal responses to privacy harms. Her work has influenced policy discussions at the OECD, UK Competition and Markets Authority, and US Federal Trade Commission. Industry experience includes cybersecurity roles at Akamai Technologies, Rapid7 LLC, Vimeo Inc., and Common Sense Media. Recent scientific contributions span dark pattern regulation under the EU Digital Services Act, privacy risks in gig economy platforms, and deceptive practices in voice/Social Robot interfaces. She co-leads the CHI 2025 special interest group on transdisciplinary dark pattern research.

Alexandre BonvinView profile

Professor

• Computational Structural Biology
• Biomolecular Interactions
• NMR Spectroscopy
• +5 more

Prof. Alexandre Bonvin is a Professor of Computational Structural Biology and Scientific Director of the Bijvoet Center for Biomolecular Research at Utrecht University. He leads the Computational Structural Biology group, focusing on developing integrative computational methods to study biomolecular interactions. His work emphasizes predicting protein complex structures using experimental data and computational models, with applications in drug discovery and structural biology. Bonvin pioneered the HADDOCK software suite, a widely used platform for modeling biomolecular complexes. Education: Studied Chemistry at the University of Lausanne, obtained a PhD from Utrecht University (1993), followed by postdocs at Yale University and ETH Zurich. Joined Utrecht University in 1998, becoming a full professor in 2009. He has held leadership roles, including Director of Chemical Education and Vice Head of the Chemistry Department. Research Themes: Biomolecular interactions, computational modeling, NMR spectroscopy, and grid computing. He coordinates EU projects like WeNMR and BioExcel, advancing e-infrastructure for structural biology. His lab’s contributions include software tools like HADDOCK, DisVis, and PowerFit, serving thousands of researchers globally. Awards: 2006 VICI grant from NWO, HPC Innovation Award (2020). Over 275 peer-reviewed publications, including high-impact work on teixobactin mechanism and antibody modeling. Active in training through EMBO courses and mentoring postdocs/students.

• Industrial Organization
• Applied Econometrics
• Telecommunications Policy
• +4 more

Jonathan W Williams is a Professor of Economics and Director of the Center for Regulatory and Industrial Studies (CRIS) at the University of North Carolina at Chapel Hill. He holds a B.A. in Economics and B.S. in Applied Mathematics from Ohio University, and a Ph.D. in Economics from the University of Virginia. His career includes six years at the University of Georgia before joining UNC in 2015. His research focuses on industrial organization, applied econometrics, and regulatory policy, with specializations in telecommunications, airline markets, and broadband networks. He has published extensively on topics such as price discrimination in airlines, consumer behavior analysis using digital data, and regulatory challenges in network industries. Williams’ work often intersects with policy-relevant issues, including the impact of gatekeeper behavior in telecom markets, the effects of video piracy on content industries, and the economic implications of broadband pricing strategies. He leads CRIS, which focuses on industrial organization research with a public policy lens. His collaborative projects include improving broadband network reliability through proactive maintenance strategies. His research portfolio includes over 30 peer-reviewed articles, spanning from 2008 to 2025, with recent emphasis on telecommunications regulation, airline industry dynamics, and digital market behaviors. He has received grants for collaborative research on infrastructure and network economics.

• Decision making
• Knowledge engineering
• Knowledge graphs
• +3 more

Marie-Hélène Abel is a Professor and Director of the Computer Science Department at the University of Technology of Compiègne (UTC), France. She leads the Heudiasyc laboratory (UMR CNRS 7253) and specializes in decision making, knowledge engineering, knowledge graphs, and multi-agent systems. Her work focuses on collaborative systems, organizational learning, and the integration of social data into decision support frameworks. She has been recognized with prestigious awards, including Senior IEEE membership (2017) and the 2017 K2 Trophy for participatory computing innovations. Her research emphasizes the development of systems like the MEMORAe platform, which supports learning ecosystems through collaborative environments and organizational memory. She collaborates internationally with institutions such as the Pontifical Catholic University of Paraná (Brazil) and industry partners including Thales, Alstom Transport, and PSA. Key projects include crisis simulation systems and ontology-based frameworks for Industry 4.0 collaboration. Abel’s academic contributions span over 50 peer-reviewed articles, with recent works addressing context-aware recommender systems, crisis management simulations, and teacher efficacy in digital education. Her leadership roles include directing research projects, overseeing the Computer Engineering Department, and advancing ethical AI practices through initiatives like the Sorbonne.AI network. Education: HDR (Habilitation à Diriger des Recherches) on 'Contribution of Organizational Memories in a Learning Context' (2007) Administrative Roles: Equality Officer, University Antiracism/Anti-Semitism Officer International Collaborations: Brazil, Egypt, and Tunisia

Yue DouView profile

Assistant Professor

• Sustainability
• Land Use
• Agricultural Economics
• +3 more

Yue Dou is an Assistant Professor in the Department of Natural Resources, focusing on sustainability, land-use dynamics, and food systems. His research addresses UN Sustainable Development Goals, particularly sustainability and food security. He employs advanced modeling techniques and remote sensing to analyze complex socio-ecological systems, emphasizing global-local interactions in agriculture and resource management. Key research interests include crop mapping accuracy in smallholder regions, food value-chain impacts on land use, and resilience in local food systems. His work integrates geospatial data, agent-based modeling, and systems analysis to explore biodiversity conservation, telecoupled systems, and policy implications for sustainable development. Collaborations span global institutions, with recent studies on Jordan’s water-energy-food nexus and Rwanda’s food security monitoring. His publications highlight innovative methods for estimating regional food flows and assessing cropland stability in China. Yue Dou’s contributions address pressing challenges in sustainable land use, agricultural economics, and environmental policy, leveraging interdisciplinary approaches to bridge ecological and socio-economic dimensions.

Asolina BraunView profile

Research Fellow

• Skin Immunology
• Autoimmunity
• Psoriasis
• +7 more

Dr. Asolina Braun is a Senior Research Fellow at the Department of Biochemistry & Molecular Biology, Monash University. She actively supervises PhD students and contributes to research in Skin Immunology Psoriasis Pathogenesis Immunopeptidomics Tissue-Resident Memory T Cells . Education : Biology, Hannover Medical School Doctoral Degree in Immunology (Hannover Medical School, Germany, 2011–2014) Postdoctoral Fellowship with Francis Carbone and Thomas Gebhardt (Germany, 2014–2018) Research Focus : Her work explores HLA-Cw6-dependent antigen presentation and TRM cell survival factors in psoriasis, aiming to develop tolerization strategies for autoinflammatory skin diseases. She also pioneered tactile science communication methods for psoriasis outreach. Key Projects : Leading Psoriasis Antigen Triggers (2023–2025) Investigating Influenza Immune Cross-Protection (2024–2027) Validating HLA-Cw6 Antigen Presentation (2020–2022) Awards & Roles : DFG Fellowship Treasurer, Australian and New Zealand Society for Immunology (2018–2022) Executive Committee Member Collaborations span institutions in Australia, Germany, and Denmark, with expertise in flow cytometry , mass spectrometry , and MHC-peptide interactions .

Yaguang ZhangView profile

Assistant Clinical Professor

• Data Science
• Digital Agriculture
• UAV-Aided Wireless Communication Systems
• +4 more

Dr. Yaguang Zhang is a Clinical Assistant Professor at Purdue University, jointly appointed in the Department of Agricultural & Biological Engineering (ABE) and the Department of Agricultural Sciences Education & Communication (ASEC) . Holding a Ph.D. in Electrical and Computer Engineering from Purdue (2021), he specializes in data science , digital agriculture , and UAV-aided wireless communication systems , with applications in intelligent transportation, proactive road maintenance, and engineering education. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering (Purdue), B.Eng. in Communication Engineering (Tianjin University) Research Interests span cutting-edge domains including: Digital Agriculture: GPS-based field shape generation, product traceability trees, and automated metadata collection for agricultural operations Wireless Communication: Millimeter-wave channel modeling, UAV relay systems, and rural network coverage optimization Smart Infrastructure: Pavement condition assessment tools, sun-shadow simulation for road treatment, and vehicle automation platforms Recent Publications emphasize scalable solutions for agricultural IoT, machine learning in crop monitoring, and interoperable data frameworks. His scientific awards include: 2024 Outstanding Engineering Teacher (Purdue) 2024 ASABE Superior Paper Award 2020 FFAR Student Poster First Prize Multiple NSF/IEEE travel supports Grants from USDA, NSF, INDOT, and industry partners (CableLabs, Nokia) fund projects like tractor autopilot development, rural 6G networks, and pavement monitoring systems. He mentors graduate students in agricultural robotics , data science , and connected vehicle research .

• Natural Language Processing
• Text Generation
• Machine Learning
• +1 more

Zihao Fu is a Researcher at the Oxford Internet Institute (OII), University of Oxford, where he served as a Postdoctoral Researcher from March 2024 to April 2025, focusing on the Trustworthiness Auditing for AI project. Previously, he was a Research Associate (PostDoc) at the University of Cambridge's Language Technology Lab under Prof. Nigel Collier. His research emphasizes Natural Language Processing, Text Generation, Machine Learning, and Biomedical Applications. Education includes a Ph.D. from The Chinese University of Hong Kong (supervised by Prof. Wai Lam) and a visiting student period at Tsinghua University's NLP Lab. He has substantial experience with large-scale distributed algorithms in Alibaba Cloud's PAI platform. Research interests span NLP, biomedical applications, and AI ethics, with notable contributions to datasets like BAND and frameworks like OxonFair. His work addresses challenges in text generation repetition, parameter-efficient fine-tuning, and algorithmic fairness.

Petra SauerView profile

Professor

• Database Systems
• Geodatabases
• Semantic Web Technologies
• +5 more

Prof. Petra Sauer is a Professor of Computer Science and currently serves as Dean of the Department of Computer Science and Media at BHT Berlin. She leads research in database systems, geospatial technologies, and educational data analytics. Her work bridges academic research with practical applications in facility management, urban logistics, and e-learning platforms. Key projects include DiSEA (education analytics), ExCELL (mobility data integration), and BIM-FM (building lifecycle management). Research interests focus on: Database design & schema evolution Semantic web applications Geodatabase implementations Learning analytics in MOODLE environments Notable awards include the Tiburtius Prize (Gold 2008 for Marc-Florian Wendland's thesis, Bronze 2009 for Marco Blankenburg's thesis). Active supervision spans over 15 advisees across data science, database security, and semantic integration topics. Current courses include 'Database Systems' for Media Informatics students. Key projects: DiSEA: Moodle-based learning analytics framework ExCELL: Real-time traffic forecasting platform mVIZ: Open data visualization guidelines BIM-FM: Semantic integration of building models