Find Academic Supervisors

Marietje SchaakeView profile

Research Fellow

• Technology Policy
• Artificial Intelligence Governance
• Digital Rights
• +3 more

Marietje Schaake is a prominent expert on technology, policy, and geopolitics with a public sector focus. She served as a member of the European Parliament from 2009 to 2019, where she was influential in shaping Europe's policies on technology, trade, and foreign affairs, including implementing "net neutrality" policies. Currently, she is a Fellow at Stanford's Cyber Policy Center and at the Institute for Human-Centered AI, where she advances initiatives to promote digital freedoms, stricter export controls for cybersurveillance technology, and new policies for e-commerce and cybersecurity. Schaake is the author of "The Tech Coup: How to Save Democracy from Silicon Valley," which provides a roadmap for governments to prevent technology companies from harming citizens. Her work has been described as "alarming and hopeful," and she has been hailed by The New Yorker for her "forceful critique" of Big Tech. She writes a monthly column for the Financial Times on technology and governance and serves on the UN's AI Advisory Body. Her research focuses on the critical intersection of technology, democracy, and governance. She examines how digital platforms impact democratic processes, the geopolitical implications of technology dominance, and the need for robust regulatory frameworks to protect citizens' rights in the digital age. Her work emphasizes digital sovereignty, the importance of preventing corporate overreach in governance functions, and developing alternative models to the current US-China tech dominance. Schaake's extensive publication record demonstrates consistent focus on emerging technology policy challenges. Her writing tracks the evolution of debates around AI governance, digital sovereignty, and the democratic implications of technology concentration. She has been particularly prescient in identifying how technology companies increasingly encroach on governmental functions and the urgent need for democratic institutions to reassert their authority in the digital realm. As a speaker and policy advisor, Schaake works extensively with governmental bodies, international organizations, and civil society to develop practical approaches for technology governance that prioritize democratic values and human rights. Her perspective bridges the technical, policy, and geopolitical dimensions of the digital transformation currently reshaping societies worldwide.

Jennifer WagnerView profile

Assistant Professor

• Bioethics
• Genetic Privacy
• AI Governance in Healthcare
• +3 more

Jennifer Wagner is an Assistant Professor of Law, Policy, and Anthropology at the University of Pennsylvania, affiliated with the Perelman School of Medicine's Division of Translational Medicine and Human Genetics. She also serves as a Research Associate at Penn CIGHT (Center for the Integration of Genetic Healthcare Technologies). Her research focuses on the intersections of genomics, ethics, AI governance, and public health policy. She holds a K99/R00 NIH award for her work on race, ancestry, and discrimination. Previously, she held a visiting assistant professorship at Duke University’s Department of Cultural Anthropology and conducted postdoctoral research at Duke’s Institute for Genome Sciences & Policy. Her research explores topics such as AI ethics in healthcare, genetic privacy, and the societal impacts of DNA technology. She also maintains a private law practice in State College, PA, emphasizing regulatory and policy-related legal work. Key contributions include developing ethical guidelines for genetic ancestry testing and advocating for equitable data practices in precision medicine. Wagner’s articles address cutting-edge issues like synthetic data governance, facial recognition technology ethics, and the legal implications of CRISPR therapies. Her work frequently bridges academic disciplines, aiming to shape policies that balance innovation with societal responsibility.

Ottar N. BjørnstadView profile

Professor

• Ecology
• Infectious Disease Dynamics
• Theoretical and Computational Biology
• +3 more

Ottar N. Bjørnstad is a Distinguished Professor of Entomology and Biology at Pennsylvania State University, with an adjunct appointment in the Department of Statistics. His research focuses on theoretical ecology, population dynamics, and statistical ecology, particularly in infectious disease dynamics and spatiotemporal data analysis. Education: Ph.D. in Ecology (University of Oslo, 1997), M.S. in Zoology (1993), B.A. in Biology (1991). Postdoctoral training at University of California, Santa Barbara (1998–2000) and Norwegian Science Foundation (1997–1998). Research Interests: Mathematical and computational approaches to population ecology, statistical ecology, and disease transmission modeling. He explores topics such as age-structured host populations, spatial synchrony in pest outbreaks, and vaccination strategies for pandemic control. His recent work emphasizes pandemic preparedness, including vaccine accessibility, SARS-CoV-2 serology, and Ebola outbreak management. He collaborates across disciplines, integrating field data with computational models to address global health challenges. Labs/Teams: Collaborates with interdisciplinary teams in epidemiology, statistics, and environmental science. Leads projects on disease dynamics, ecological modeling, and data-driven public health interventions.

Kristan StoddartView profile

Associate Professor

• Cybersecurity
• Cyberwarfare
• Cyberespionage
• +5 more

Kristan Stoddart is an Associate Professor of Cyber Threats at Swansea University's School of Social Sciences, with additional affiliation at the Hillary Rodham Clinton School of Law. He serves as a member of the Cyber Threats Research Centre (CYTREC) and has previously held positions as a Reader in International Politics at Aberystwyth University, where he also served as Deputy Director of the Centre for Intelligence and International Security Studies. His research spans cybersecurity, cyberwarfare, cyberespionage, cyber terrorism, cybercrime, international security, intelligence studies, and nuclear weapons. Stoddart's work bridges historical analysis of Cold War nuclear strategy with contemporary cyber threats, creating a unique interdisciplinary approach to security studies. His expertise is particularly focused on the intersection of cyber operations with critical national infrastructure protection and geopolitical conflicts. Stoddart's publications reveal a clear evolution from historical nuclear strategy research to contemporary cyber security challenges. His recent works focus on Russian cyber campaigns against Ukraine, Chinese offensive cyberespionage, and threats to critical infrastructure. This progression demonstrates his ability to apply historical understanding of strategic competition to emerging cyber domains, with particular emphasis on the 'gray zone' between peace and war where cyber operations increasingly occur. Professional Recognition: Fellow of the Higher Education Academy Fellow of the Royal Historical Society Fellow of the Royal Society of Arts (FRSA) since 2022 Research Leadership: Stoddart has secured significant research funding including a €30,000 EU grant for 'EU Resilience Against Hybrid Warfare' (2021) and served as Principal Investigator for a £1.2 million project on 'SCADA Systems and Cyber Security Lifecycles' (2014-2017) funded by Airbus Group and the Welsh Government. He has supervised multiple PhD students working on topics including social media evidence, voluntary sector regulation, and crypto-crimes. Professional Engagement: Stoddart is an active member of the Project on Nuclear Issues at the Center for Strategic and International Studies in Washington DC. He has spoken at major international conferences including NATO, GCHQ, and US Strategic Command, and has provided expert commentary for media outlets including the BBC. His public engagement includes keynote lectures such as 'Edward Snowden and You: Negotiating the Post 9/11 Surveillance State' broadcast on C-Span.

• Software Engineering
• Data Privacy
• Chatbot Design
• +6 more

Edna Dias Canedo is a researcher with a focus on software engineering, data privacy, and gender dynamics in ICT. Her work explores chatbot conversational design, micro-frontend architecture, and compliance with data protection laws like Brazil's LGPD. She collaborates extensively on studies related to agile methodologies and digital transformation in public sectors.

Morteza NamvarView profile

Senior Lecturer

• Machine Learning
• Natural Language Processing
• Large Language Models
• +7 more

Dr. Morteza Namvar is a Senior Lecturer at The University of Queensland Business School and an Affiliate of both the Centre for the Business and Economics of Health and Centre for Enterprise AI. His work bridges business contexts with advanced computational techniques, focusing on practical applications of artificial intelligence in organizational and healthcare settings. Faculty of Business, Economics and Law - School of Business Centre for the Business and Economics of Health Centre for Enterprise AI - Faculty of Engineering, Architecture and Information Technology Dr. Namvar specializes in Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs), with research concentrated in three primary areas: leveraging NLP and LLMs for enhanced theory building in Information Systems research, text feature engineering using advanced language models, and personalization/user experience enhancement through contextual understanding. His work systematically analyzes unstructured text data to develop robust theoretical constructs and improve machine learning model capabilities. His recent publications reveal strong trends in healthcare applications of LLMs, hate speech detection, and cryptocurrency market analysis through social media. The research consistently applies NLP techniques to solve real-world problems across healthcare, finance, and e-commerce domains, with particular emphasis on sociotechnical aspects of technology implementation. Dr. Namvar has successfully secured competitive funding including the prestigious UQ Knowledge Exchange & Translation Fund grant for developing social media monitoring tools for small businesses, and multiple grants from Medical Protection Society Limited for machine learning applications in healthcare systems. 2021-2022: Developing a context-specific social media monitoring tool to empower Australian small business (UQKx&T Fund) 2021: Enhancing Education Development: Analysing Members' Feedback Using Machine Learning Techniques (Medical Protection Society) 2021: Investigating the effective use of data and analytics in Medical Protection Systems (Medical Protection Society) He currently supervises five PhD students working on NLP and LLM applications in healthcare, data privacy regulation, and patient outcomes. His research impacts include leading machine learning projects with industry partners like Medical Protection Society and PA Hospital, where his NLP techniques have helped improve organizational strategies through text data analysis.

Elva RobinsonView profile

Professor

• Animal Behavior
• Conservation Biology
• Ecology
• +3 more

Professor Elva Robinson is a Professor in Ecology at the University of York's Department of Biology. Her research focuses on understanding the social structure of animal groups, particularly ants, and its implications for conservation and invasive species management. She combines lab experiments, fieldwork, and computational modeling to explore how environmental changes affect social behaviors and colony resilience. Her work includes studying Formica rufa wood ants and invasive species like Lasius neglectus, with a focus on network dynamics and intergroup cooperation. Her research interests span behavioral ecology, conservation biology, and the application of systems analysis to biological networks. She collaborates with the York Cross-disciplinary Centre for Systems Analysis (YCCSA) and the European MonitAnt project to assess wood ant conservation statuses. Her teaching emphasizes active engagement, including animated videos and science communication projects. Professor Robinson supervises PhD and MSc projects on topics like ant colony networks, wood ant conservation, and invasive species. She has received a Royal Society Dorothy Hodgkin Fellowship and holds grants supporting research into ant behavior and conservation. Her work bridges ecological theory and practical conservation, with implications for both natural and engineered systems.

• Applied Artificial Intelligence (AI)
• Computer Vision
• Disaster Management
• +4 more

Dr. Umair Iqbal is a Researcher in the School of Engineering at the University of Newcastle, specializing in Applied Artificial Intelligence (AI) with a focus on Computer Vision and Edge-Computing solutions for real-world challenges like disaster management and water resource optimization. He holds a PhD from the University of Wollongong and is an NVIDIA DLI Ambassador, delivering workshops on deep learning and AIoT technologies. His research emphasizes AI-driven video analytics for infrastructure monitoring (e.g., culvert blockage detection), public safety (e.g., violence detection in transit systems), and environmental applications (e.g., flood risk mitigation). His work combines interdisciplinary approaches, leveraging tools like TensorFlow, NVIDIA frameworks, and edge devices (Jetson platforms). Key contributions include developing an AIoT solution for pipeline protection, a real-time edge-computing system for public transport safety, and bibliometric reviews on drones and computer vision in flood management. Dr. Iqbal has secured $114,814 in grants, including a 2023 project on floodborne debris identification and a 2025 initiative for kerbside waste management. He actively supervises graduate students and leads projects like StopBlock (culvert blockage detection) and iMOVE (transport safety analytics). Research interests span AIoT frameworks, generative AI, and geotechnical applications. His publications (23+ journal articles, 3 conference papers, 2 book chapters) address hydraulic infrastructure resilience, machine learning in civil engineering, and disaster response technologies. He collaborates with industry partners like Remondis and fosters innovation through workshops and course coordination at undergraduate/postgraduate levels.

Snehasish BanerjeeView profile

Professor

• Digital Marketing
• Electronic Commerce
• Fake News Analysis
• +6 more

Snehasish Banerjee is a Professor in Marketing at the School for Business and Society , University of York. He previously held roles as Senior Lecturer and Lecturer in Marketing at the York Management School. His interdisciplinary research bridges technology and human behavior, focusing on digital marketing, fake news, online consumer behavior, and AI applications. He leads the Marketing, International Business and Entrepreneurship (MIBE) group and serves on the editorial board of Internet Research . Education: PhD (Information Studies) and MSc (Information Systems) from Nanyang Technological University, Singapore; B.Tech (Computer Science) from West Bengal University of Technology, India. Research Interests: Authentic vs. fake online reviews Healthcare rumor dynamics AI in decision-making Consumer behavior in e-commerce Human-technology interaction Notable Awards: 2014 Outstanding Paper Award (Journal of Knowledge Management), 2016 Outstanding Contribution in Reviewing Award (Computers in Human Behaviour), and multiple editorial recognitions. Grants & Projects: Principal Investigator of the British Academy-funded project on Older people’s online information consumption (2020–2022) exploring pandemic-era digital behavior. Labs/Teams: Collaborates with interdisciplinary teams on projects like Human-Robot Interaction and Older People’s Online Information Consumption , producing datasets published on UK Data Service and Zenodo.

Aron CulottaView profile

Professor

• Natural Language Processing
• Social Network Analysis
• Artificial Intelligence
• +9 more

Aron Culotta is a Full Professor of Computer Science at Tulane University, leading the Text Analysis in the Public Interest lab and serving as Director of the Tulane Center for Community-Engaged Artificial Intelligence and the Jurist Center for Artificial Intelligence. He holds a Ph.D. from the University of Massachusetts Amherst (2008), a M.S. from the same institution (2004), and a B.S. from Tulane University (2002). His work focuses on human-centered AI, leveraging NLP and social network analysis to address societal challenges in public health, emergency response, criminal justice, and civic transparency. Culotta has pioneered methods to track disease outbreaks, measure public health campaign effectiveness, and inform disaster response through social media analysis. Research interests include natural language processing, causal inference, domain adaptation, and crisis informatics. Notable contributions span frameworks for reducing algorithmic bias, developing community-driven AI platforms, and analyzing social media dynamics for public good. His interdisciplinary projects are supported by over $4.8M in funding from NSF, NEH, and Tulane initiatives, among others. Culotta has mentored 33 capstone teams and advised 5 graduated PhD students now in academia and industry. Awards: Barbara E. Moely Service Learning Award (2024-2025), Nayar Prize Finalist (2016), Teacher of the Year (2018), and multiple best paper recognitions at AAAI and CSCW. Leadership: Spearheads the Tulane CEAI Center, fostering collaborations across 7 universities and 3 non-profits. Hosts workshops like PACE 2024 and Gulf Coast AI Social at NeurIPS. Education: Ph.D. in Computer Science (UMass Amherst, 2008), M.S. (UMass Amherst, 2004), B.S. (Tulane University, 2002). His work emphasizes collaboration with community partners to ensure AI systems are inclusive, transparent, and equitable. Recent projects include a criminal court transparency platform and AI tools for tracking blight in New Orleans. Culotta’s research bridges technical innovation with societal impact, addressing urgent challenges like health equity and algorithmic fairness.

Gianluigi Maria RivaView profile

Research Fellow

• Data Protection
• Privacy Law
• Technology Ethics
• +8 more

Gianluigi Maria Riva is a Research Fellow at University College Dublin (UCD), affiliated with the School of Information and Communication Studies. He holds a Marie Curie PhD in Privacy, Ethics and New Technologies from UCD and is a non-residential Connection Science Fellow at the MIT Media Lab’s Human Dynamics group. His expertise spans data protection law, invasive technologies (e.g., IoT, BCI), and EU-US privacy comparisons, particularly in genetic and biometric profiling. Education: PhD in Privacy, Ethics, and New Technologies (UCD). Former Fulbright-Shuman Visiting Scholar at MIT Media Lab. Research focuses on dark patterns, ethical governance frameworks for emerging technologies, and privacy-by-design principles in Human-Computer Interaction (HCI). Collaborated with organizations like Telefonica Innovaciò Alpha on ethics governance and participated in EU projects such as H2020 TEAM-ITN (mental health tech) and REINITIALISE (digital health privacy). Awards: 2022 Best Innovator Award (Marie Curie Alumni Association). Leadership: Coordinates a law seminar at the University of Pavia, contributes to EU COST Actions (e.g., Privacy and Security, Researcher Mental Health), and leads editorial roles in Frontiers in Human Dynamics. Member of committees like the IEEE, AssoDPO’s AI Scientific Committee, and the I.R.C.C.S. Mondino Neurological Institute’s Board. Prior roles include Military Police Officer, Commercial Manager, litigation Attorney, and Legal/Data Protection consultant.

Raymond P. GuiterasView profile

Associate Professor

• Development Economics
• Environmental Economics
• Applied Econometrics
• +4 more

Raymond P. Guiteras is an Associate Professor in the Department of Agricultural and Resource Economics at North Carolina State University. His research focuses on development economics, environmental economics, and applied econometrics, particularly examining how households in developing countries mitigate environmental health risks through sanitation, water, and hygiene investments. He leads studies in Bangladesh, Cambodia, Ghana, India, Malawi, and Uganda, investigating topics such as microfinance impacts, behavioral interventions, and the long-term effects of environmental exposure on human health. Guiteras' work emphasizes experimental methods, including cluster-randomized trials, to evaluate interventions like financial incentives for sanitation investments and disgust-based messaging for health behavior change. Notable projects include assessing arsenic exposure's cognitive impacts in Bangladesh and analyzing flood exposure effects on children's development. He has also contributed to policy-relevant studies, such as comparing algorithmic and traditional approaches to poverty targeting. His research outputs span high-impact journals and collaborative reports, including contributions to The Lancet Commission on water sanitation and health. He is affiliated with NC State’s Development Economics, Environmental Economics, and Labor and Health groups, reflecting his interdisciplinary focus. Though no grants or students are explicitly listed in the provided texts, his CV and Google Scholar profile highlight extensive peer-reviewed contributions and methodological innovations, such as the statacons tool for Stata automation.

Sumit SarkarView profile

Professor

• Personalization and Recommendation Systems
• Crowdsourcing
• Sharing Economy
• +6 more

Sumit Sarkar is the Charles and Nancy Davidson Chair Professor of Information Systems and Director of PhD Programs at the Jindal School of Management, University of Texas at Dallas. He also serves as the Academic Director of the International Center for Decision and Risk Analysis. His research focuses on personalization systems, crowdsourcing, data privacy, and software project management. He holds a PhD from the University of Rochester, an MBA from the Indian Institute of Management Calcutta, and a BTech from the Indian Institute of Technology New Delhi. Professor Sarkar’s research interests span multiple domains including recommendation systems, knowledge management, and the sharing economy. His work emphasizes practical applications such as privacy-preserving data sharing, optimal contest design for crowdsourcing platforms, and strategic pricing in digital markets. Notable contributions include frameworks for hiding sensitive association rules and methodologies for evaluating online review credibility. Education: PhD, University of Rochester, 1991 MBA, Indian Institute of Management Calcutta, 1982 BTech, Indian Institute of Technology New Delhi, 1979 His awards include the AIS Fellowship (2022), INFORMS President’s Service Award (2021), and the Davidson Chair appointment (2011–present). He has held leadership roles in professional organizations such as the Workshop on Information Technology and Systems and served on editorial boards of journals like MIS Quarterly and Management Science . Professor Sarkar’s work bridges theory and practice, addressing challenges in information systems through interdisciplinary approaches. His current projects explore AI-driven counterfactual explanations, competitive dynamics in search advertising, and the ethical implications of recommendation systems.

• Early Language Development
• Phonology
• Lexical Development
• +6 more

Dr. Nayeli Gonzalez-Gomez is a Reader in Psychology at Oxford Brookes University, affiliated with the School of Psychology, Social Work and Public Health. She leads research in the Brookes Babylab, focusing on early language acquisition, phonological development, and the impact of environmental factors like socioeconomic status, preterm birth, and pandemics on infant cognitive and language development. Her work bridges developmental psychology, linguistics, and public health. Research Interests : Early Language Development in Monolingual and Bilingual Infants Phonological and Lexical Acquisition Mechanisms Effects of Prematurity and Socioeconomic Deprivation on Speech Perception Impact of the Pandemic on Child Development (e.g., screen time, caregiver sensitivity, sleep patterns) Developmental Cognitive Neuroscience Key Findings : Recent studies analyze how the pandemic affected language environments and executive functions, the role of caregiver sensitivity in vocabulary growth, and the efficacy of co-produced activity packs for parent-child engagement. Collaborative multi-lab projects address infant-directed speech preferences and gaze-following behaviors in bilingual infants. Grants & Projects : Principal Investigator of the ESRC-funded BICYCLE project (2024–2026) studying pandemic impacts on children born during lockdowns. Active in coordinating international research networks like the ManyBabies Consortium. Labs & Teams : Core member of the Brookes Babylab, collaborating with the Centre for Psychological Research (CfPR). Leads multidisciplinary teams investigating language acquisition theories and translational research for early childhood interventions.

Zheying ZhangView profile

Lecturer

• Requirements Analysis
• Domain Modelling
• Quality Assurance
• +10 more

Zheying Zhang is a Lecturer at Tampere University within the Faculty of Information Technology and Communication Sciences , Department of Computing Sciences . She holds a Ph.D. in Computer Science and Information Systems from the University of Jyväskylä (2004) and was awarded a Docent (Adjunct Professor) title in Software Development from the University of Tampere (2013). Education: Ph.D. (2004), Docent (2013) Her research focuses on Requirements Engineering , with specific interests in Requirements Analysis Domain Modelling AI-Assisted Requirements Management Software Quality Assurance Process Improvement Data-Driven Software Development Medical Device Software Current Master's thesis topics include AI for Software Engineering, DevOps pipelines, and cross-disciplinary software ethics. Recent publications highlight trends in AI applications for requirements management, software evolution analysis , and accessibility testing . She actively supervises PhD candidates like Xiaozhou Li and Wenhui Lu, with works spanning open-source projects and medical software quality. Scientific Contributions: 54 research outputs (2003-2025), including 3 2025 conference papers