Find Academic Supervisors

• Legal Aspects of Data Science and AI
• Privacy and Data Protection
• Digital Forensics
• +5 more

Dr. Carlisle George is an Associate Professor in Computing Science at Middlesex University's Faculty of Science and Technology, specializing in the intersection of technology and law. With dual expertise as a computer scientist and barrister (called to Lincoln's Inn and the Eastern Caribbean Supreme Court), he chairs the Computer Science Research Ethics Committee and leads the ALERT research group focused on Aspects of Law and Ethics Related to Technology. University of London (Goldsmiths) - PhD in Computer Science London School of Economics - LLM in Information Technology & Communications Law Middlesex University - MBA His research explores Legal and Ethical Dimensions of Data Science and AI , with emphasis on Privacy, Data Protection, Intellectual Property Rights , and Regulatory Challenges in Digital Environments . Recent work addresses explainability requirements under the EU AI Act and forensic readiness frameworks for medical networks. Scientific contributions include Fellow of the Higher Education Academy (FHEA) and Chartered Manager (CMgr MCMI) recognition. He supervises PhD students in areas like mHealth privacy frameworks , AI explainability , and Digital Forensics readiness while serving on editorial boards and organizing international workshops on Health IT ethics.

• Information Science & Library Science
• Cultural Studies
• Digital Literacy
• +7 more

Prof. NEVZAT ÖZEL is a Professor at the Department of Information and Record Management within the Faculty of Language, History, and Geography at Ankara University. He holds a Doctorate in Library and Information Science from Ankara University (2013) with research focused on information literacy and digital learning environments. His academic contributions span over 46 publications and 8 research projects, with interdisciplinary interests in information science, cultural studies, and museum informatics. Key research areas include digital literacy , library automation , museum information systems , and record management . His recent work explores blockchain applications in electronic document management, AI integration in libraries, and digital curation practices. He has advised 3 theses and contributed to institutional initiatives like the InterPARES 3 project on electronic records preservation. Publications highlight trends in Assessment of digital competencies among university students Impact of ICT on information systems and learning environments Standardization efforts (RDA, FRBR) in library cataloging Bibliometric analysis of academic journals He maintains active professional engagement through academic service roles, conference participation, and authoring guides like the University Document Management Handbook . His work bridges traditional archival practices with emerging digital technologies, emphasizing ethical and practical considerations in information management.

Jens WeberView profile

Professor

• Software Engineering
• Safety and Security Engineering
• Health Informatics
• +5 more

Jens Weber is a Professor and Associate Dean of Professional Programs & Development at the Faculty of Engineering and Computer Science, University of Victoria. He holds a PhD from the University of Paderborn and is a Professional Engineer (P.Eng.) in British Columbia. His research focuses on software engineering with emphasis on safety and security assurance in critical systems, particularly in healthcare, transportation, and defense sectors. He also investigates systems incorporating artificial intelligence and self-adaptation. He teaches courses on security engineering, software architecture, and formal methods. His affiliations include the School of Health Information Science at UBC and the Faculty of Medicine at UBC. Key research projects include GRAPE VINE (graph transformation tools), Information Security Assurance, Medical Device Software Certification, and Medical Systems Hazard Analysis. He serves on the Board of Engineers and Geoscientists BC, chairs the Academic Integrity Committee, and organized conferences like IEEE Health Informatics 2021. His work emphasizes bridging engineering practices with real-world software deployment challenges, especially in health informatics. Awards include the 2019 Société de Biomécanique Young Investigator Award for human body model validation research. Current initiatives include developing data quality frameworks for clinical systems, tool support for functional graph programming, and safety analysis methodologies for adaptive systems.

• Energy Systems Modelling
• Techno-Economic Energy Analysis
• Thermal Comfort Modelling
• +1 more

Reihaneh Aghamolaei is an Assistant Professor in the School of Mechanical & Manufacturing Engineering at Dublin City University. Her research integrates building energy performance, techno-economic energy optimization, and thermal comfort modelling with a focus on digitization and computational techniques. She holds degrees in Building Engineering and Sustainable Planning, and her PhD addressed urban microclimate impacts. Prior to DCU, she lectured at UCD and worked in Ireland's AEC industry on sustainable building design.

• Biomedical Informatics
• Healthcare Data Management
• Clinical and Translational Research
• +3 more

Andrew R. Post, MD, PhD, is a Clinical Associate Professor in the Department of Biomedical Informatics at the University of Utah School of Medicine and Director of Research Informatics at Huntsman Cancer Institute (HCI). He specializes in healthcare data management, software engineering, and data warehousing for translational research. His work focuses on simplifying access to electronic health record (EHR) data for cancer and disease studies, and he leads HCI's Research Informatics Shared Resource, which supports data management systems across genetic testing to population-level data. Previously, he held leadership roles at Emory University, including informatics director for the Georgia CTSA and All of Us Research Program. Education: MD - University of Pennsylvania School of Medicine PhD - University of Pittsburgh MS - University of Pittsburgh Bachelor of Arts - University of Pennsylvania His research emphasizes self-service EHR data access for population studies and systems architectures for clinical research. Over 15 years, he has developed software solutions to streamline data use in oncology and other disciplines. Publications highlight innovations in data warehousing, EHR integration, and temporal abstraction methods. His work bridges technical informatics with clinical practice, addressing challenges in data interoperability and scalability. Projects include optimizing data loading processes for i2b2 platforms and designing privacy-preserving data release systems.

Chuanrong (Cindy) ZhangView profile

Professor

• Geographic Information Science
• Spatial Economics
• Spatial Analysis
• +4 more

Chuanrong (Cindy) Zhang serves as a Professor in the Department of Geography, Sustainability, Community, and Urban Studies Education at the University of Connecticut. Her academic career centers on Geographic Information Science and Systems, with significant contributions to spatial analysis methodologies applied across health, transportation, and environmental domains. Her educational background includes a Ph.D. from the University of Wisconsin-Milwaukee (2004), establishing her foundation in advanced geospatial research. Professor Zhang's research program integrates Geographic Information Science with spatial economics and computational statistics. She pioneers innovations in geospatial semantic web technologies, volunteered geographic information systems for emergency response, and advanced land cover classification techniques. Her work consistently addresses real-world challenges in public health infrastructure, transportation networks, and environmental sustainability through rigorous spatial modeling. Analysis of her publication record reveals a strong emphasis on computational scalability and data interoperability in geospatial systems. Her research frequently bridges computer science frameworks with domain-specific applications, particularly in disaster management scenarios where rapid geospatial data processing is critical for life-saving decisions. Professor Zhang has secured major research funding including a USGS grant (2017-2020) for optimizing spatial knowledge queries of The National Map and an NSF Dynamics of Coupled Natural and Human Systems grant (2014-2017) investigating socio-ecological dynamics in Long Island Sound watersheds. These projects demonstrate her leadership in large-scale, interdisciplinary research addressing complex environmental and societal challenges.

Yuhong YanView profile

Associate Professor

• Service Computing
• Service-Oriented Architecture
• Cloud Computing
• +4 more

Yuhong Yan is an Associate Professor at Concordia University's Department of Computer Science and Software Engineering. Her research focuses on Service Computing, emphasizing flexibility and interoperability in software systems. She advises graduate students in master's and PhD programs, though currently not recruiting new students. Her work includes service-oriented architecture, cloud computing, and workflow management, with notable contributions to service composition optimization and QoS-aware systems. Her research has been recognized through awards such as the Best Student Paper at CLOSER 2017 and SCC 2014, and her paper on service-oriented network virtualization was the most cited in CSCWD (2001-2011). She has led and participated in multiple IEEE conferences, including serving as Chair for the IEEE Cloud Cup in 2013 and 2014. Her work often involves collaborations with industry, funded by NSERC Engage and MITACS grants. Yuhong emphasizes practical industrial experience and maintains a lab focused on adaptive service composition, failure recovery, and graph-based algorithms. She has authored or co-authored over 50 peer-reviewed articles and serves on program committees for leading conferences in services computing.

Gabor BellaView profile

Associate Professor

• Multilingual Systems
• Semantic Interoperability
• Domain-Aware Approaches
• +7 more

Gabor Bella is an Associate Professor at IMT Atlantique, France and a guest researcher in the KnowDive group. His research focuses on multilinguality in computer systems, with emphasis on semantic interoperability, domain-aware solutions, and ethical support for low-resource languages. He leads research and development in linguistic resource generation, bias mitigation in language models, and the UKC lexico-semantic database (http://ukc.datascientia.eu) alongside the LiveLanguage platform (http://www.livelanguage.eu). Previously, he managed EU-funded projects such as InteropEHRate (cross-border electronic health records), Healthcare Data Safe Havens (medical experiment integration), ESSENCE Marie Curie training network (organizing academic events), and QROWD (crowdsourced transportation data curation). He co-developed the SMATCH tool for ontology matching and led multiple work packages (WPs) in interdisciplinary initiatives. His work bridges technical advancements with societal impacts, addressing challenges in healthcare interoperability, multilingual data systems, and equitable language technology access.

Alessio ZamboniView profile

Researcher

• Knowledge Graphs
• Natural Language Processing
• Data Integration
• +3 more

Alessio Zamboni is an academic researcher and senior software engineer at the University of Trento, where he earned a MSc in Computer Science. He holds roles in the Department of Information Engineering and Computer Science, contributing to the KnowDive research group focusing on Knowledge Management, DevOps, and NLP. His career began at 17 as a full-stack developer, evolving into research roles at Fondazione Bruno Kessler (geographical information systems) and exchange studies in China (Zhejiang and Jilin Universities). Research interests span knowledge graphs, data integration, and software engineering. Notable projects include interoperable electronic health records and university system integration architectures. He has advised EU-funded initiatives in technical education and contributed to multilingual data disambiguation systems. Labs: Active member of the KnowDive Group at University of Trento, collaborating on interdisciplinary projects blending AI, data systems, and educational technology.

• Human-Centered Computing
• Digital Thinking Pedagogy
• Crowdsourcing Mechanics
• +4 more

Lisa Posch, a Research Fellow at the Institute of Human-Centred Computing at Graz University of Technology, focuses on digital thinking pedagogy, crowdsourcing mechanics, and social media analytics. Her work bridges computational methods with sociotechnical systems. Education: Dipl.-Ing. (Master of Science), Dr.techn. (Doctorate in Technical Sciences), BSc Her research spans Human-Centered Computing , Natural Language Processing , and Digital Humanities , with publications on crowdworker motivation, social media monitoring, and metadata modeling. She has contributed to advancements in probabilistic ontology mapping and multilingual topic modeling. Her recent publications (2013-2023) demonstrate expertise in social media analytics , digital labor dynamics , and semantic data systems . She actively engages in educational initiatives through the Teaching Digital Thinking Project (TDT).

Gopal GuptaView profile

Professor

• Programming Languages
• Software Engineering
• Parallel and Distributed Processing
• +4 more

Dr. Gopal Gupta is the Erik Jonsson Chair Professor of Computer Science at The University of Texas at Dallas (UT Dallas), leading the Department of Computer Science since 2009. He holds a Ph.D. from the University of North Carolina at Chapel Hill (1991) and has held academic roles since 1992, including Department Head and Associate Head at UT Dallas. His research focuses on Programming Languages, Software Engineering, Parallel Processing, Human-Computer Interaction, and Artificial Intelligence , with notable contributions in logic programming, constraint programming, and neuro-symbolic AI. He has developed influential systems such as the NEXUS parser , DAWN , and VoxBoox , and co-founded Interoperate , a startup translating legacy code into modern formats. His honors include the Junior Faculty Enhancement Award (1992) and multiple best paper awards. Gupta’s work bridges theory and application, emphasizing explainable AI, commonsense reasoning, and system assurance. Key Projects : Leader of the Condicutve Logic Programming initiative Co-developer of the E-plan system for chemical hazard response Pioneer in voice-based accessibility tools like VoxBoox Advocate for entrepreneurial ventures in academia His publications span logic-based AI, parallel computing, and software verification, with recent work in trustworthy AI, causal counterfactuals, and neuro-symbolic frameworks.

Antonio E BadiaView profile

Associate Professor

• Database Systems
• Query Optimization
• Data Mining
• +6 more

Antonio E Badia is an Associate Professor in the Department of Computer Science and Engineering at the University of Louisville's J.B. Speed School of Engineering. He holds a B.S. and M.S. in Computer Science from the Polytechnic University of Catalonia (1988, 1990) and a Ph.D. in Computer Science from Indiana University (1997). His research focuses on database systems, query optimization, data mining, and decision support systems. He has published extensively on topics such as JSON document algebra, SQL extensions for data science, and NoSQL system evaluation. Key research areas include query optimization frameworks, integration of unstructured data, and semantic technologies. His work bridges database systems with modern data science practices, emphasizing practical implementations and performance analysis. Notable contributions include pioneering work on generalized quantifiers in query languages and frameworks for data analysis in command-line environments. Dr. Badia's publications span over three decades, addressing challenges in data warehousing, information integration, and security-aware database design. Though no specific awards are listed, his prolific and impactful research contributions are evident through his sustained output in top venues. He has advised numerous students (none explicitly listed) and contributed to course development in computer science and engineering. His recent work explores the intersection of databases and emerging technologies like JSON processing, while maintaining a focus on foundational issues such as functional dependencies and query semantics. Ongoing projects likely involve advancing database architectures for modern analytical workloads.

Jinie PakView profile

Associate Clinical Professor

• Intelligence and Security Informatics
• Social and Organizational Aspects of Information Systems
• Computer Supported Cooperative Work
• +5 more

Jinie Pak serves as a Clinical Associate Professor in the Department of Computer and Information Sciences within Towson University's Fisher College of Science and Mathematics. Her academic credentials include a Ph.D. (2014) and M.S. (2007) in Information Systems from the University of Maryland Baltimore County, with current contact through office YR-468 and email jpak@towson.edu. Education: Ph.D., Information Systems, College of Engineering and Information Technology, University of Maryland Baltimore County, 2014 M.S., Information Systems, College of Engineering and Information Technology, University of Maryland Baltimore County, 2007 Her research program integrates computer science with psychological and sociological frameworks to advance deception detection in computer-mediated communication (CMC). Specializing in Intelligence and Security Informatics, she investigates both social structural behaviors (network patterns, linguistic cues) and psychophysiological indicators (gaze behavior, eye movements) through natural language processing and machine learning. Additional expertise spans Computational Linguistics, Human-Computer Interaction, and Computer Supported Cooperative Work with applications in health informatics. Publication analysis reveals two dominant research trajectories: (1) Health Informatics innovations including patient-centered personal health records, chronic disease management frameworks, and ontology-based health capability models; and (2) Security Informatics contributions to deception detection through structural network analysis and physiological indicators in online environments. Her interdisciplinary approach consistently bridges theoretical foundations with practical system implementations. Scientific Recognition: Best paper nominee at 10th Workshop on eBusiness (WeB 2011) Best poster award at 17th Americas Conference on Information Systems (AMCIS 2011) Professional service includes co-reviewing for IEEE Intelligence Security Informatics, International Journal of e-adoption, and Association of Information Systems publications. While no student advising or grant details appear in current documentation, her active conference participation and journal contributions demonstrate ongoing scholarly engagement. Current research focuses on automating structural deception detection through advanced NLP and machine learning techniques applied to diverse online communication contexts.

Emily Jane McTavishView profile

Assistant Professor

• Evolution
• Phylogenetics
• Genomics
• +1 more

Emily Jane McTavish is an Assistant Professor at the University of California, Merced, within the School of Life & Environmental Sciences. Her research focuses on evolutionary biology, phylogenetics, and computational genomics. She leads the McTavish Lab, which develops tools for large-scale evolutionary inference and integrates genomic, phylogenetic, and biodiversity data. She holds a B.S. from McGill University (2006) and a Ph.D. from the University of Texas (2013). Her research interests center on leveraging computational methods to address evolutionary questions using vast datasets. This includes developing pipelines for phylogenetic analysis and exploring the dynamics of diversification and introgression. She has contributed to open-source tools such as Physcraper and OpenTree, which facilitate the updating and analysis of phylogenetic trees. While Emily’s own scientific awards are not explicitly listed, her students and collaborators have achieved notable recognition, including NSF GRFP Honorable Mentions and grants for research projects. The McTavish Lab has received support through the Intelligent Adaptive Systems National Research Training Grant and collaborations with institutions like JGI. Emily advises several graduate students, including Lesly Lopez Fang, Jasper Toscani Field, and James Rosindell, among others. Her lab’s work has been published in journals like Systematic Biology and PLoS Genetics, and they maintain active collaborations on biodiversity informatics and phylogenetic tools. The McTavish Lab is based at UC Merced’s SE1 282, and their projects include creating dynamic phylogenetic trees for birds and developing methods to map biodiversity using environmental DNA and Earth observation data.

Emanuele Della ValleView profile

Associate Professor

• Big Data
• Stream Processing
• Semantic Technologies
• +3 more

Emanuele Della Valle is an Associate Professor at the Department of Electronics, Information and Bioengineering of Politecnico di Milano. He holds a PhD in Computer Science from Vrije Universiteit Amsterdam and a Master's in Computer Science and Engineering from Politecnico di Milano. His research focuses on Stream Reasoning, Big Data, Semantic Technologies, and their industrial applications. He has led initiatives to establish Stream Reasoning as a recognized field, including organizing over 15 workshops/tutorials and developing the C-SPARQL Engine (downloaded 9,000+ times). He is a member of the editorial board of the Journal of Web Semantics and has authored multiple books and over 70 publications. Education: PhD in Computer Science, Vrije Universiteit Amsterdam Master in Computer Science and Engineering, Politecnico di Milano Research Interests: Big Data and Stream Processing Semantic Web and Knowledge Representation Data Science and Real-Time Analytics Applications in IoT, Telecom, and Social Media Awards include the CAiSE’19 Best Paper Award, IBM Faculty Awards (2006, 2013), and multiple best paper recognitions. His work has been applied with industry partners like Telecom Italia, IBM, and Siemens. Teaching focuses on Big Data, Data Science, and AI, with courses such as 'Streaming Data Analytics' and 'Artificial Intelligence and Big Data Science'. He has coordinated EU projects (FP7 Service Finder, EIT Digital activities) and founded Quantia Consulting and motus ml.