Dr. Sabin Tabirca is a Senior Lecturer at the School of Computer Science and Information Technology, University College Cork (UCC). He holds a BSc from Bucharest University and a PhD from Brunel University. His research focuses on Artificial Intelligence, Data Analytics, Algorithmics, Interactive Media, and HCI, with applications in computational cancer modeling, mobile health (mHealth), and parallel computing. He coordinates MPT Activities and is affiliated with the CRR Group and BCRI Centre. Notable awards include UCC's President Award for Innovation in Teaching (2007), IT@Cork Leader Award (2008), and UCC Staff Recognition Award (2013). His teaching includes modules like Parallel and Grid Computing, Mobile Application Design, and Graphics for Interactive Media. Dr. Tabirca has supervised over 70 MSc students and numerous PhD candidates, many of whom now hold academic and industry roles globally. His research includes developing mHealth apps for cystic fibrosis patients, 3D cancer visualization tools, and frameworks for mobile parallel computing. Publications span mHealth design pipelines, cancer prediction models, and mobile gaming for health education. He actively engages in interdisciplinary projects, blending computer science with medical and biological applications.
Anna Monreale is an Associate Professor in the Department of Computer Science at the University of Pisa and a key member of the Knowledge Discovery and Data Mining Laboratory (KDD-Lab), a joint research group with the Information Science and Technology Institute of the National Research Council (ISTI-CNR) in Pisa. Her academic career is rooted in the University of Pisa, where she completed her Bachelor's, Master's, and Ph.D. in Computer Science. Her research focuses on privacy-preserving data analytics, with core interests in big data analytics, social network analysis, spatio-temporal mining, and explainable AI. She is particularly known for her work on privacy-by-design in data mining and evaluating privacy risks in analytical processes. Her research bridges technical innovation with ethical and legal considerations in data science. Her recent publications reveal a strong trend toward explainable AI, privacy in federated learning, and risk assessment in mobility and health data. She actively contributes to developing methods for explaining black-box models, assessing privacy exposure, and balancing privacy, utility, and fairness in AI systems. Privacy by Design Ambassador (2014) ISTI-CNR Young++ Researcher Award (2014) Monreale has advised and co-chaired several international workshops, including PriSMO, PinSoDa, and MoKMaSD, and serves on editorial boards such as Transactions on Data Privacy. She teaches advanced data mining, big data ethics, and database systems across multiple graduate and undergraduate programs. She is involved in major EU projects like SoBigData, XAI, TAILOR, and HumMingBird, reflecting her leadership in data science and AI ethics. She is affiliated with the KDD-Lab, a prominent research group focused on knowledge discovery, social mining, and big data analytics, contributing to both theoretical advances and real-world applications in privacy-aware data science.
Jennifer Hebert-Beirne is a Professor of Community Health Sciences at the University of Illinois at Chicago (UIC) School of Public Health. A leading community-based participatory researcher (CBPR), she specializes in qualitative methodologies to advance health equity and justice, particularly in Chicago's marginalized communities like North Lawndale and Little Village. Her work bridges academic research with grassroots activism through the Collaboratory for Health Justice and the UIC Center for Healthy Work . She has served as Associate Dean for Community Engagement and co-leads the National Institutes of Health (NIDDK) funded Prevention of Lower Urinary Tract Symptoms (PLUS) Research Consortium. Key Roles : Site Principal Investigator, NIH NIDDK PLUS Consortium Co-Investigator, Chicago Center for Health and the Environment (CACHET) Co-PI, Chicago Community Health Response Corps (COVID-19 response) Faculty Liaison, UIC Office for Community Collaboration Education : PhD in Public Health (Maternal & Child Health), UIC (2008) MPH in Maternal & Child Health and Health Education, UIC (1995) BA in Sociology, Boston College (1991) Her research focuses on structural drivers of health inequities, including precarious work, gender-based violence, and environmental racism. She develops innovative community-academic partnerships like the Life Scholars Photovoice Study and Health Justice Speaker's Bureau . Her work has informed public health messaging frameworks and policy interventions for bladder health, occupational safety, and pandemic response. Recent articles explore intersectional stressors among Arab sexual minority migrants and methodological advancements in CBPR. Dr. Hebert-Beirne has received numerous accolades, including the UIC Community Engagement Award, ASPPH Excellence in Practice Award, and Delta Omega Innovative Curriculum Award. She co-developed courses like Epidemics of Injustice and Community Organizing/CBPR , emphasizing radical public health pedagogy. Her grants include NIH, CDC NIOSH, and MacArthur Foundation funding for community-driven projects.
Simon McCallum is an Associate Professor at NTNU’s Faculty of Information Technology and Electrical Engineering. Born in New Zealand, he transitioned from commercial game development in Norway to academia in 2009. His research focuses on Serious Games, particularly in healthcare contexts, gamification, and virtual reality applications. He holds a PhD from the University of Otago (2007), where he studied Computer Science, Mathematics, Psychology, and Philosophy. McCallum has contributed to over 30 publications, including works on cognitive health gaming, software engineering education, and AR applications. He teaches courses such as IMT4307 (Serious Games Research) and IMT3603 (Game Programming). His key projects include the Smartkuber AR game for cognitive screening and the Traction Trebuchet historical engineering study. McCallum has collaborated with institutions like the University of Otago and has engaged in outreach through conferences and media appearances, promoting game technology in healthcare and education.
Deanna House is an Assistant Professor in the Information Systems and Quantitative Analysis department at the University of Nebraska at Omaha's College of Information Science and Technology. She co-directs the Nebraska Deterrence Lab and serves as a research fellow for NSRI, along with mentoring the USSTRATCOM Fellows program. Her academic journey includes a PhD in Information Systems from the University of Texas at Arlington and prior roles in Human Resources as a Business Systems Analyst. Bachelor of Science, Bellevue University, Management of Human Resources (2002) Master of Science, University of Nebraska at Omaha, MIS (2006) PhD, University of Texas at Arlington, Information Systems and Operations Management (2013) Dr. House specializes in behavioral cybersecurity, privacy, and quantitative risk management, with a focus on deterrence in critical infrastructure. Her research bridges individual user behavior with organizational and governmental security strategies. Recent publications highlight trends in cybersecurity education, phishing behavior, AI ethics, and infrastructure protection. She has contributed to journals like Computers & Security and Journal of Cybersecurity , with 2025 work on DoD cyber deterrence. NSRI Research Fellow Her teaching covers Risk Management, Cybersecurity, and Systems Analysis, utilizing tools like Visual Paradigm Online for technical diagrams. She actively presents at conferences such as ICIS and DSI, advocating for ethics and workforce development in technology.
David Beckingham is an Associate Professor in Cultural and Historical Geography at the University of Nottingham's School of Geography, part of the Faculty of Social Sciences. His research focuses on the historical regulation of social behaviors, particularly drinking and drunkenness, and the evolving role of government in defining and addressing such issues. He emphasizes how spatial and geographical factors influence these dynamics, examining cases like the smoking ban and minimum alcohol pricing. His work explores the interplay between state power and citizen freedoms through historical lenses, such as the Victorian expansion of institutions like asylums and prisons. A key interest is the pub as a social battleground for defining British identity and governance. He has authored books like *The Licensed City: Regulating Drink in Liverpool* and co-curated the exhibition *Last Orders: Stories of Alcohol and Abstinence in the East Midlands*. Beckingham's research-led teaching includes coordinating a Research Tutorial module, blending theoretical debates with practical research design. His recent publications analyze topics such as temperance movements, licensing policies, and the historical geographies of alcohol regulation.
Barbara Pavlek Löbl Barbara Pavlek Löbl is a Research Fellow and postdoctoral researcher at the Chair of Public History within the Faculty of Historical and Cultural Studies at the University of Vienna. Her work focuses on interdisciplinary approaches combining digital historical data with computational models to study cultural history. She holds a PhD from Friedrich Schiller University Jena and the Max Planck Institute for the Science of Human History, where her dissertation explored coinage as an informational system through archaeology, cognitive science, and economic history. Her current research investigates interactions between people, monuments, landscapes, and narratives in cultural memory formation. She previously served as Deputy Chief Content Officer (Deputy CCO) at Public History Weekly (2022–23). Pavlek Löbl teaches courses on public archaeology and memory landscapes, actively contributing to academic discourse through her research projects and publications. Key areas of expertise include digital humanities, cultural evolution, and the application of computational methods to historical data analysis. Her work bridges archaeology, economics, and cognitive science to understand how cultural systems evolve over time.
Azza Abouzied is Associate Professor of Computer Science at New York University Abu Dhabi and Global Network Associate Professor at the Tandon School of Engineering. She serves as Vice Provost for Faculty Advancement and Engagement at NYUAD starting September 2024. Her research bridges database systems and human-computer interaction, focusing on intuitive tools for data querying and decision-making in uncertain, collaborative environments. PhD, Yale University (2013) MPhil, Yale University MSc, Dalhousie University BSc, Dalhousie University Her research centers on human-data interaction, designing systems that make data accessible to non-experts. She combines techniques from UI design, machine learning, and databases to build tools that simplify complex data tasks. Her earlier work focused on example-driven querying and synthetic data generation, while her recent work explores in-database prescriptive analytics and decision support in domains like disinformation mitigation and epidemic planning. Her publications span database and HCI venues, with a recurring theme of enhancing usability without sacrificing scalability. She co-founded Hadapt, a Big Data analytics platform, and has led interdisciplinary research through the Human-Data Interaction Lab and the Center for Interacting Urban Networks. Her teaching includes foundational courses such as Database Systems, Operating Systems, and Data, as well as the critical thinking course Techruption. VLDB Test of Time Award (2019) Best Paper Award in Database Systems Honorable Mention in HCI Publications Azza mentors undergraduate capstone students and advises prospective PhDs, research assistants, and postdocs. She is actively involved in academic leadership, having chaired NYUAD’s faculty council in 2024 and co-chaired the SIGMOD 2025 program. Her work emphasizes empowering users to critically engage with data and AI, both in research and education.
Adam Kleczkowski is a Professor in the Department of Mathematics and Statistics at the University of Strathclyde, where he holds the Global Talent Chair. He is actively involved in research, supervising PhD students, and contributing to public health policy, particularly in epidemiological modeling. University: University of Strathclyde School: Faculty of Science Department: Department of Mathematics and Statistics Position: Professor Email: a.kleczkowski@strath.ac.uk ORCID: 0000-0003-1384-4352 Twitter: @aklecz Education: Doctor of Science in Theoretical Physics, Jagiellonian University (1989) Master of Physics, Jagiellonian University (1984) Adam Kleczkowski's research focuses on mathematical biology, particularly in modeling infectious diseases in human, animal, and plant populations. His work integrates ecological modeling, bioeconomic analysis, and public health, with applications in food security, sustainability in aquaculture, and pollination services. He specializes in parameter estimation for epidemiological systems and develops models to inform disease control strategies. His recent contributions include modeling the spread of COVID-19 in Scottish care homes and analyzing the risks of measles outbreaks due to declining vaccination rates. His recent publications and blog posts reflect a strong trend in combining rigorous mathematical modeling with accessible science communication. He frequently writes for The Conversation and maintains two blogs—'Statistically (in)significant' in English and 'Pandemia 2021' in Polish—covering topics such as tuberculosis, immigration, aging populations, and election data. His scientific work is supported by major funders including NERC, MRC, BBSRC, Scottish Government, and Defra. Scientific Contributions and Outreach: Member, Science Advice and Response Team, Plant Health Centre (Scotland) Expert contributor to Scottish Government on Plant Health business case Contributor to Scottish Government and Public Health Scotland COVID-19 modeling Author of 14 articles in The Conversation (over 1.5 million reads) Regular science blogger and tweeter (@aklecz) He has led or participated in 24 research projects, including international collaborations such as a Memorandum of Understanding with ICRISAT. He has supervised multiple research students and projects, and his work contributes to UN Sustainable Development Goals related to health, food security, and sustainable agriculture. He is also an Honorary Professor at the University of Stirling (2018–2020), reflecting his ongoing academic influence.
Marta Kryven is an Assistant Professor in the Faculty of Computer Science at Dalhousie University. Her research integrates artificial intelligence, cognitive science, and experimental psychology to develop computational models of human cognition, focusing on planning, perception, and behavior. She is actively engaged in interdisciplinary research and is accepting graduate students. Research Interests: Computational models of cognition and behavior Large Language Models and their alignment with human thought Spatial navigation and environmental interaction Program synthesis and induction Representation learning and cognitive modeling Human-AI alignment and interpretability Her recent publications demonstrate a strong trend in combining symbolic AI with neural models to simulate human-like reasoning, particularly in spatial and social contexts. She frequently collaborates with leading researchers at MIT, especially Joshua Tenenbaum. Her work appears in top-tier venues such as NeurIPS, Cognitive Science, and Nature Computational Science. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: Marta Kryven is currently accepting applications from graduate students and has several projects available for both undergraduate and graduate researchers. While specific grants are not listed, her active publication record in high-impact journals suggests ongoing funded research. She also offers consulting in AI system design, behavioral modeling, and data science for businesses. Labs and Teams: She is part of the Big Data Analytics, AI & Machine Learning research cluster at Dalhousie University. Her work is closely affiliated with cognitive science and AI research groups, likely involving collaboration with MIT’s Center for Brains, Minds and Machines. She leads a research group focused on human-like AI and computational cognitive modeling.
Dennis Yi Tenen is an Associate Professor at Columbia University's Faculty of Arts and Sciences, Department of English and Comparative Literature. He co-directs the Narrative Intelligence Lab and serves as an affiliated member of the Data Science Institute. His research spans computational narratology, digital humanities, and algorithmic poetics. Education: [Not explicitly stated in text] Professional Background: Former Microsoft Windows engineer, Berkman Center for Internet and Society fellow Key research areas include: Media history through code and text Machine learning's impact on literary analysis Material culture of digital interfaces Algorithmic transparency in humanities As a faculty member, Tenen bridges technical and theoretical approaches to literature, evidenced by publications in Modern Philology , New Literary History , and Modernism/modernity . He has contributed to debates on educational technology policy and institutional governance. Labs & Affiliations: Narrative Intelligence Lab Data Science Institute Computational Social Science Committee
Professor Asif Gill is Head of Discipline for Software Engineering at the School of Computer Science, University of Technology Sydney (UTS), where he was promoted to Professor of Computer Science in January 2024. He also serves as Director of the DigiSAS Research and Innovation Lab and is actively involved in the Global Big Data Technologies Centre at UTS. As a founder of both the DigiSAS Lab and the Future Generation Enterprise Architecture Community of Practice (FGEA CoP), he has established integrated teaching-research-engagement frameworks that translate academic research into practical applications while enhancing graduate employment opportunities. Professor Gill's research interests span Adaptive Enterprise Architecture , Agile Software Development , and Design Science Research & Innovation , with a particular focus on architecting large-scale data-intensive enterprise software systems. His work addresses challenges across academia, industry, government, and society, with significant contributions to AI systems architecture, digital identity management, and enterprise knowledge graphs. His applied research has resulted in numerous collaborations with organizations including the Reserve Bank of Australia, Revenue NSW, Capsifi, Data Zoo, and the NSW Department of Planning, Industry and Environment. His publication record includes 3 books and over 190 articles in major academic journals such as IEEE Transactions on Professional Communication, Information and Management, and Information Systems. His recent work demonstrates a consistent focus on cutting-edge topics in enterprise architecture, AI systems, and digital identity, with multiple publications appearing in 2024-2025. His research trajectory shows a clear evolution from foundational work in agile software development toward more sophisticated integration of AI, enterprise architecture, and data governance. Fellow of the Australian Computer Society (ACS) Fellow of DSE (ESCP Center for Design Science in Entrepreneurship) Senior Member IEEE Associate Editor, IEEE Transactions on Technology & Society Associate Editor, Springer Nature Discover Data journals Member, Data Sharing Committee, IFIP Technical Committee 8.1 Member, Standards Australia Software and Systems Engineering Committee IT-015 Professor Gill has successfully secured numerous research grants from 2019-2026, totaling significant funding for projects related to digital identity, enterprise architecture, and AI systems. His approach emphasizes industry-academia collaboration, with many projects involving direct partnerships with government agencies and industry organizations. He has supervised multiple PhD and Master's students through industry-sponsored scholarships and maintains active collaborations with researchers across multiple institutions. Leading the DigiSAS Research and Innovation Lab, Professor Gill has created an environment that bridges theoretical research with practical implementation. The lab focuses on developing frameworks and tools for adaptive enterprise architecture, with particular emphasis on AI-enabled systems, data governance, and digital identity solutions. His work on the Data Satellite Architecture represents a significant contribution to combating data pollution in federated digital ecosystems.
James Stewart is a Professor at Queen's University's School of Computing. His research focuses on biomedical computing and surgical navigation systems. Education: Ph.D. in Computer Science from Cornell University (1992) Location: Office Goodwin 732 Contact: Phone 613 533-3156 Research Interests Professor Stewart's work bridges computer graphics, image processing, and medical applications. Key areas include: Computer-assisted surgical navigation 3D medical visualization Geospatial data representation Robust geometric computation Human-computer interaction in clinical settings Medical imaging uncertainty analysis Scientific Awards Best Poster Award (2013) for 'Image-guided Osteochondral Autologous Autografting of the Ankle' Publications His publications span multiple domains including: Computer graphics algorithms Medical imaging techniques Geospatial visualization Biomedical engineering applications Surgical navigation systems Robust geometric computation
Michelle Borkin is an Assistant Professor in the Khoury College of Computer Sciences at Northeastern University’s Boston campus, where she co-leads the Visualization @ Khoury Lab and co-directs the Northeastern Visualization Consortium (NUVis). She additionally serves as Affiliated Faculty with the NULab for Text, Maps, and Networks and with the Information Design & Data Visualization Program in the College of Arts, Media, and Design. Education PhD, Applied Physics, Harvard University School of Engineering and Applied Sciences (2014) MS, Applied Physics, Harvard University BS, Astronomy & Astrophysics and Physics, Harvard University Research Interests Borkin’s research integrates data visualization and human-computer interaction to create novel techniques that enable discovery across disciplines. Her work spans: Multidimensional brushing-and-linking methodologies 3D data visualization and selection techniques Tree and network visualization Visualization evaluation methodologies and perception/cognition theory Accessibility and visualization for social good Medical and astrophysical visualization applications Publication Trends Across more than 50 peer-reviewed papers, Borkin’s research exhibits three dominant threads: (1) foundational studies on visualization perception and memorability, (2) design and evaluation of novel interactive tools for complex data (medical, astronomical, political, and social media), and (3) methodological contributions such as the Design Study “Lite” Methodology that accelerate visualization pedagogy and community-engaged research. Awards & Honors CHI 2020 Best Paper Award IEEE VIS 2020 Best Poster Honorable Mention IEEE VIS 2018 Best Poster Award NSF Graduate Research Fellowship NDSEG Graduate Fellowship TED Fellow Advising & Grants Borkin currently advises five PhD students—Jane Adams, Mackenzie Creamer, Franc O, Aditeya Pandey, and Laura South—and has previously mentored Michail Schwab and Uzma Haque Syeda. Her research has been supported by NSF, NDSEG, and TED fellowships, as well as internal Northeastern awards. Labs & Teams Co-Lead, Visualization @ Khoury Lab Co-Director & Co-Founder, Northeastern Visualization Consortium (NUVis) Affiliated Faculty, NULab for Text, Maps, and Networks Affiliated Faculty, Information Design & Data Visualization Program, CAMD
Shuting Wang is an Assistant Professor in the Paul H. Chook Department of Information Systems and Statistics at Baruch College's Zicklin School of Business. With a PhD in Management Information Systems from Temple University and prior degrees in Operations Management and Logistics Management, her research focuses on social media risks, fake news detection, and digital health platforms. PhD: Temple University (Management Information Systems) MSc: Shanghai University of Finance and Economics (Operations Management) BSc: Zhongnan University of Economics and Law (Logistics Management) Her expertise spans Big Data Marketing , Social Media Analytics , Technology Strategy , and Digital Health . Current research examines: Fake news mitigation through multimedia elements Telemedicine accessibility via SMS technology Social media's impact on business reputation FinTech startup success factors Psychological impacts of digital appearance Cybersecurity effects on startup funding Key Scientific Awards : Research Cluster Interdisciplinary Incentive Grants (2025) Eugene M. Lang Fellowship (2021) Presidential Fellowship at Temple University (2014) Full Tuition Scholarship at Shanghai University of Finance and Economics (2009) Active in teaching roles including Data Mining for Business Analytics and Database Management, she has received grants from the National Science Foundation and CUNY Central Office. Her work has been featured in outlets like NPR and Campaign US.
