Find Academic Supervisors

• platform governance
• digital policy
• artificial intelligence
• +6 more

Professor Terry Flew (BEc (Hons), MEc (Sydney), MBA (QUT), PhD (Griffith)) is a leading academic at the University of Sydney , holding the Professor of Digital Communication & Culture position within the Faculty of Arts and Social Sciences . As an Australian Research Council Laureate Fellow (2024-2029), he leads the Centre for AI, Trust & Governance , a flagship initiative involving multiple faculties. His international appointments include Research Fellow at the UK Creative Industries Policy & Evidence Centre and Honorary Professor at the University of Nottingham Ningbo China. Co-Director, Centre for AI Trust and Governance Member, SSSHARC research center International collaborations with Carleton University (Canada), Communications University of China, University of Glasgow (UK) Research Focus : Specializing in platform governance , digital policy , and mediated trust , Professor Flew bridges media economics , AI ethics , and creative industries . His work examines digital platform regulation , news media sustainability , and global internet governance , with recent projects analyzing trust mechanisms in AI systems and digital content regulation . The 2024-2028 Laureate Fellowship on "Mediated Trust" integrates these themes. Publications & Grants : With 16 authored/edited books and 129 journal articles , he has secured $11 million in research funding (including $9.9 million from ARC). Key grants include ARC Discovery projects on digital platform governance and Linkage projects on citizen journalism. Professional Leadership : Served as ICA President (2019-2020), ANZCA President (2009-10), and Lead Commissioner for the Australian Law Reform Commission. Currently sits on editorial boards of Journal of Communication , Global Media and Communication , and Media International Australia .

• Networked Control Systems
• Cyber-Physical Systems
• Cybersecurity
• +4 more

Professor Daniel Quevedo is a leading academic in Electrical and Computer Engineering at The University of Sydney. Previously, he held positions at Queensland University of Technology and Paderborn University, Germany, where he founded the Chair in Automatic Control. He earned his PhD from the University of Newcastle (Australia) and MSc/Ing. degrees from Universidad Técnica Federico Santa María (Chile). His research focuses on networked control systems, cyber-physical systems, and cybersecurity, with contributions to state estimation, control of power converters, and human-in-the-loop systems. He has pioneered work integrating machine learning, behavioral economics, and advanced mathematics to address challenges in interconnected digital-physical environments. Quevedo serves as Associate Editor for IEEE Transactions on Control of Networked Systems and IEEE Control Systems. He chairs the Committee of Experts for Germany’s Excellence Strategy on Digital Methods and has held leadership roles in IEEE technical committees. Notable awards include the IEEE Axelby Outstanding Paper Award (2018) and multiple fellowships. Teaching includes advanced control systems courses like Reinforcement Learning and Optimal Control. He is a Fellow of the IEEE and has published over 200 peer-reviewed articles, with recent work emphasizing privacy-preserving state estimation, resilient control systems, and energy-efficient wireless control. His research labs explore topics such as human-machine collaboration, cybersecurity in Industry 5.0, and data-driven control strategies. Current projects include secure remote state estimation frameworks and adaptive control under adversarial conditions.

Hamid MansoorView profile

Assistant Professor

• Data Visualization
• Digital Health
• Digital Phenotyping
• +6 more

Hamid Mansoor is an Assistant Professor in the Department of Computer Science at the University of Manitoba. He holds a PhD in Computer Science from Worcester Polytechnic Institute under Prof. Emmanuel Agu, and was part of the DARPA-funded WASH project. His research focuses on data visualization, digital health, and smartphone-based behavioral analysis. He previously served as a Postdoctoral Fellow at the VIXI Lab, University of Victoria, Canada, under Prof. Miguel Nacenta. Education: PhD in Computer Science, Worcester Polytechnic Institute Research Interests: Interactive data visualization frameworks for health monitoring Mobile and ubiquitous computing for behavioral analysis Smartphone-sensed human behavior and health informatics Visual representation of text-based and sensor data Publications highlight trends in visual analytics for healthcare, including tools like ARGUS and INPHOVIS for detecting bio-behavioral disruptions and smartphone-based phenotyping. His work integrates machine learning with visualization to address challenges in health data interpretation. Awards: Best short paper honorable mention (EuroVis 2020) His contributions span academic collaborations in health informatics and mobile computing, with a focus on bridging theory and practical applications in healthcare technology.

Lucy HedermanView profile

Associate Professor

• Health Informatics
• Clinical Decision Support Systems
• Healthcare Data Integration
• +3 more

Dr. Lucy Hederman is an Associate Professor in Computer Science at Trinity College Dublin (TCD), affiliated with the O'Reilly Institute. Her research focuses on leveraging data and documents to support clinical decision-making, particularly in healthcare knowledge work. She has led interdisciplinary projects addressing data integration for rare diseases (e.g., ANCA-vasculitis, MND) and socio-technical challenges in adopting patient-generated health data (PGHD) into clinical practice. Dr. Hederman has secured over €xxxk in research funding and leads the Heterogeneity and Interoperability (H&I) challenge in the SFI-funded ADAPT 2 Centre. Her educational background includes advanced studies in computer science and healthcare informatics, though specific degree details are not explicitly stated in the text. She has supervised 4 PhDs, 2 research MScs, and co-supervised 6 PhDs, while currently mentoring 8 graduate students. Her career includes founding TCD spinouts PBOC and BIOLOGIT, which align with her research in health informatics and technology. Key research interests include: Interdisciplinary collaboration between clinicians, researchers, and technologists Data harmonization for multi-national clinical studies (e.g., FAIRVASC, Precision-ALS) Development of clinical decision support systems (CDSS) Design of mobile health (mHealth) tools for underserved populations Recent work emphasizes FAIR principles for healthcare data and socio-technical factors influencing PGHD adoption. She has contributed to over 70 peer-reviewed publications and actively participates in initiatives like the EU-funded TRANSFORM project and HRB Primary Care Research Centre. Dr. Hederman’s professional memberships include the Irish Computer Society, ACM, and Healthcare Informatics Society of Ireland. Her research has impacted healthcare practices in Ireland, with many MSc student projects influencing local health services.

Eleanor PowerView profile

Associate Professor

• Social Network Analysis
• Ethnography
• Religion and Society
• +5 more

Dr. Eleanor Power is an Associate Professor in the Department of Methodology at the London School of Economics and Political Science (LSE). Her research focuses on the interplay between belief, practice, identity, and social relationships, with a particular emphasis on how reputational dynamics shape social inequality and cooperation. She combines ethnographic methods with social network analysis to study these phenomena in South India and cross-culturally. Education: Eleanor holds a PhD in Anthropology from Stanford University (2015). Prior to joining LSE in 2017, she was an Omidyar Postdoctoral Fellow at the Santa Fe Institute. She is fluent in English and Tamil. Research Interests: Eleanor examines signaling theory, religious practice, and the micro-dynamics of social inequality, including the 'reputational poverty trap.' Her current projects include co-directing the ENDOW project on social and economic inequality and leading the Rep2SI project on reputational dynamics. Her work bridges anthropology, sociology, and computational social science. Publications: Her recent work explores latent network models, cooperative behavior in South Indian communities, and the role of reputation in human social networks. She also collaborates on interdisciplinary projects, such as analyzing reproductive inequality across species and the impact of art workshops on prisoners' well-being. Awards: While no specific awards are listed, her research has been highlighted in LSE's 30th Anniversary celebrations for its interdisciplinary innovation and collaborative nature. Grants and Labs: Eleanor leads the Rep2SI project and co-directs the ENDOW project, indicating active grant-funded research. She is affiliated with LSE's Department of Methodology and has collaborated with institutions like the Santa Fe Institute.

Ian RuthvenView profile

Professor

• Information Seeking Theory
• Human-Computer Interaction
• User Studies
• +7 more

Professor Ian Ruthven is a Professor of Information Seeking and Retrieval in the Department of Computer and Information Sciences at the University of Strathclyde. He chairs the Scottish Library and Information Council (SLIC) and the Steering Committee of the Information Seeking in Context (ISIC) conference series. His research focuses on human information interaction, including information seeking in health, migration, and cultural heritage contexts. He authored Dealing With Change Through Information Sculpting , proposing a theory explaining how people use information behaviors to adapt during life transitions. Education: PhD in Abduction, Explanation, and Relevance Feedback (University of Glasgow, 2001), MSc (University of Birmingham, 1993), BSc in Computing Science (University of Glasgow, 1992). Research Interests: Information seeking theory, interface design for information access, user studies. His work bridges human-computer interaction with socio-technical systems, emphasizing ethical and inclusive design. Publications: Over 170 peer-reviewed papers, including influential works on information resilience, digital divides, and pandemic impacts on international students. Recent work includes Grey Digital Divide: Factors Associated with Older People’s Use of the Internet for Financial Transactions (2025) and Information Avoidance: A Critical Conceptual Review (2025). Awards: Tony Kent Strix Memorial Award (2020), Fellow of the Royal Society of Arts (2010), and multiple best paper awards. His contributions span academic and policy realms, addressing societal challenges through information science. Projects: Co-investigator in the Participatory Harm Auditing Workbenches and Methodologies (PHAWM) project (2024–2028) and leader of the Scottish Network on Digital Cultural Resources Evaluation (ScotDigiCH) (2015–2016). These projects emphasize participatory design and cultural heritage evaluation. Professional Activities: Editorial roles for major conferences, visiting researcher at the University of Pretoria (2021), and advisory roles in library and information science initiatives. His work fosters collaboration between academia and cultural institutions.

Scott MacKenzieView profile

Associate Professor

• Human-Computer Interaction
• Human Performance Measurement
• Interaction Devices and Techniques
• +3 more

Scott MacKenzie is an Associate Professor at the Lassonde School of Engineering, York University, where he leads research in Human-Computer Interaction (HCI). He holds a Ph.D. from the University of Toronto (1992) and specializes in interaction devices, mobile computing, and human performance modeling. His work emphasizes accessibility, text entry systems, and assistive technologies. He maintains an active research group focused on advancing HCI through empirical studies and innovative design. Education: Ph.D. in Computer Science, University of Toronto, 1992 Dr. MacKenzie’s research explores how interaction techniques can enhance user performance and accessibility. Key areas include touch-based interfaces, gestural input, and systems for users with disabilities. His recent work investigates eye-tracking for wheelchair control, mid-air gesture interaction, and text entry methods for VR environments. His publications reflect a focus on practical applications of HCI principles, such as improving mobile device usability and evaluating novel input methods. Notable contributions include studies on soft keyboards, tilt-based interaction, and accessibility solutions for motor-impaired users. Labs/Teams: Affiliated with the Lassonde School of Engineering’s research initiatives in interactive systems and human-centered computing.

Onur VarolView profile

Assistant Professor

• Computational Social Science
• Network Science
• Machine Learning
• +4 more

Onur Varol is an Assistant Professor at Sabanci University's Computer Science Department and leads the VIRAL Lab, which focuses on computational social science, network science, and machine learning. He has affiliations with the Center of Excellence for Data Analytics. His research spans social bot detection, misinformation analysis, and online behavior modeling.

Karin RoelofsView profile

Professor

• Experimental Psychopathology
• Affective Neuroscience
• Emotion Regulation
• +6 more

Karin Roelofs is Professor of Experimental Psychopathology at the Behavioural Science Institute (BSI) and Principal Investigator at the Donders Centre for Cognitive Neuroimaging and Donders Institute for Brain, Cognition and Behaviour at Radboud University Nijmegen. She chairs the PI-group "Affective Neuroscience" and holds the chair in Experimental Psychopathology. Her research focuses on psychological and neuroendocrine mechanisms underlying social-motivational behavior in both healthy individuals and patients with stress-related and social-motivational disorders such as social anxiety and aggression. She employs various brain imaging techniques (fMRI, MEG) combined with neural stimulation (TUS, tACS) or pharmacological interventions during emotion control and decision making tasks. Her work investigates how stress influences the neural development of emotion control through longitudinal studies including the Nijmegen Longitudinal Study (NLS), BIBO, and the Police In-Action (PIA) cohort. Her key research questions address how people regulate emotional actions, whether emotion control can be improved by influencing brain activity or through real-time biofeedback, and whether psychopathology can be predicted based on acute stress reactions and recovery patterns. Her publications span high-impact journals including Nature Communications, Nature Human Behaviour, and Nature Reviews Neuroscience, demonstrating her leadership in understanding the neural basis of emotion regulation and stress responses. ERC Advanced Grant (2025) ERC Consolidator Grant (2017) ERC Starting Grant (2012) NWO VICI, VIDI, and VENI grants Elected Member of Royal Netherlands Academy of Arts and Sciences Elected Member of Academia Europaea Professor Roelofs has secured numerous significant grants including the HEART2ADAPT project (2019-2025, ERC-AdG), PIA: Police In-action longitudinal study (2015-2021), and DYNAMORE: Dynamic modelling of resilience (2017-2025). She serves on multiple boards including ALLEA (All European Academies), the Selection committee for the ERC Advanced Grant, and as Board Member of INTRESA (International Resilience Research Alliance). She is also a registered GZ psychologist (BIG) and cognitive behavioral therapist (VCGT), bridging clinical practice with cutting-edge neuroscience research.

Mikkel N. SchmidtView profile

Associate Professor

• Statistical Modeling
• Machine Learning
• Bayesian Methods
• +3 more

Mikkel N. Schmidt is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on statistical modeling, Bayesian methods, and their applications in science and industry. He has held visiting roles at Columbia University (2007) and Cambridge University (2008-2009). His work integrates probabilistic modeling with computational inference to address complex problems in diverse fields such as molecular discovery, optical communication, and brain connectivity analysis. Education highlights include visiting scholar and postdoctoral experiences at top-tier institutions. Research interests span statistical methodology development, machine learning applications, and interdisciplinary problem-solving. Current projects involve Bayesian neural networks for molecular discovery and federated learning optimization. Advising efforts include supervising multiple PhD students in areas like molecular discovery and denoising diffusion models. Notable collaborations involve work on materials science, quantum communication, and medical signal processing. His contributions bridge theoretical advancements with practical industrial applications, emphasizing interdisciplinary innovation.

Shintaro OkazakiView profile

Professor

• Marketing Communications
• Digital Marketing (AI, Mobile, Social Media)
• Social Issues in Marketing (Diversity, Sustainability)
• +2 more

Shintaro Okazaki is a Professor of Marketing at King’s Business School, King’s College London. He holds a PhD from the Autonomous University of Madrid and has over 20 years of industry experience, including roles at a multinational corporation in Tokyo. His research focuses on marketing communications, digital marketing, social issues in marketing, international marketing strategies, and tourism marketing. He has authored over 100 articles and chapters, with a strong emphasis on advertising, AI ethics, sustainability, and consumer behavior. Research Interests: Marketing Communications: Advertising, Branded Entertainment, Cross-Cultural Advertising, Emotions in Advertising Digital Marketing: AI, Mobile Marketing, Social Media Marketing, Digital CSR Social Issues: Diversity, LGBTQ+ Inclusion, Disaster Resilience, Media Addiction, Sustainability International Marketing: Deglobalisation, Global Brand Positioning, Marketing Standardisation Travel & Tourism: Sustainable Tourism, Greenhushing, Peer-to-Peer Accommodation Awards & Roles: Former Editor-in-Chief of Journal of Advertising (2014–2019) Past-President of the European Advertising Academy Editorial Board Member for Journal of Public Policy & Marketing , International Marketing Review , and others Recipient of multiple awards, including the 2010 Journal of Advertising Best Article Award Grants & Conferences: Grant panelist for over 20 international organizations Organized/chaired 30+ academic conferences globally Labs & Teams: Research Lead of the Department of Marketing at King’s Business School, leading interdisciplinary projects on AI ethics, crisis communication, and sustainable marketing strategies.

• Strategic International HRM
• Multinational Companies
• HRM in Central Europe
• +7 more

Prof. Marzena Stor is a Professor of Strategic International HRM and Head of the Department of Human Resources Management at Wrocław University of Economics in Poland. Her work focuses on HRM practices in multinational companies (MNCs), particularly in Central Europe, emphasizing how HR strategies influence organizational performance through factors like managerial competencies, employee development, and human-centric approaches. She leads empirical research on labor market dynamics, talent management, and the mediating roles of HR outcomes in crisis and non-crisis contexts. Research Interests: - HRM in Multinational Companies - Cross-Cultural HRM - AI & Digital Transformation in HR - Managerial Competency Development - Sustainable HR Practices - Employee Engagement & Retention Recent Work Trends: Her 2023-2025 publications highlight the mediating role of HR outcomes in linking managerial/employee development to financial and operational performance, with a focus on Central European MNCs. She also explores labor shortages in V4 countries and the impact of human-centric paradigms on organizational success. Cooperation & Grants: Open to socio-economic collaborations, she advises doctoral students in international HRM and has conducted studies funded by EU regional initiatives. Her work bridges academic research and business practice, often involving multinational corporations in Poland and CEE. Labs/Teams: Leads research teams at the Department of Human Resources Management, collaborating with international partners on large-scale HRM surveys and MNC subsidiary studies.

• Human-Computer Interaction
• Responsible Innovation
• AI Ethics
• +8 more

Helena Webb is a Visiting Lecturer in the Department of Computer Science at the University of Oxford, where she contributes to research and teaching within the Human Centred Computing theme. Her work bridges social science and computer science, focusing on responsible innovation, AI ethics, and user interactions with digital technologies. PhD in Social Sciences, University of Nottingham Bachelor’s in Social and Political Sciences, University of Cambridge Former Senior Researcher, University of Oxford Department of Computer Science Researcher at Work, Interaction and Technology (WIT) Research Centre, King’s College London (2009–2014) Her research interests include human-computer interaction, algorithmic fairness, privacy in smart homes, and ethical design of social robots. She specializes in qualitative research methods and interdisciplinary collaboration to understand how technology shapes and is shaped by social practices. She has led and contributed to major projects such as Digital Wildfire , UnBias , ReEnTrust , and RoboTIPS , all focused on responsible governance and design of digital systems. Her recent publications span topics from algorithmic accountability to ethical black boxes in robotics, reflecting a strong trend toward integrating ethical considerations into the technical design of AI and interactive systems. These works emphasize participatory design, transparency, and societal impact. Scientific Awards and Recognition: Named one of the Brilliant Women working in AI Ethics She actively supervises and co-supervises students, contributes to ethics education, and is involved in outreach and diversity initiatives at Oxford. She has also served on the Departmental Equality and Diversity Committee and the Research Ethics Committee. Helena is a member of the advisory board for the ReEnTrust project and continues to develop the ethical hackathon model with colleagues. Her work exemplifies a deep commitment to interdisciplinary, socially responsible research in computing.

Brent DobersteinView profile

Associate Professor

• Resource and Environmental Management
• Disaster Risk Reduction
• Climate Change Adaptation
• +7 more

Brent Doberstein is an Associate Professor in the Department of Geography and Environmental Management at the University of Waterloo, Faculty of Environment. His research and teaching focus on disaster risk reduction, climate change adaptation, and sustainable resource management, particularly in developing countries across Asia and in Canada. His research interests include: Hazards and disaster risk reduction Climate change adaptation and managed retreat Post-disaster reconstruction and institutional capacity building Sustainable resource and environmental management Parks and protected areas Over the next five years, he is particularly interested in supervising graduate students in themes related to disaster risk reduction, climate adaptation, and managed retreat. His recent publications reflect a strong emphasis on community resilience, policy evaluation, and cross-national comparisons, especially in Southeast Asia and Canada. Key trends in his work include the integration of local knowledge, social equity in disaster recovery, and innovative frameworks like the PARA model for flood risk management. His scientific contributions are recognized through publications in leading journals such as International Journal of Disaster Risk Reduction , Climate and Development , and Disasters . Dr. Doberstein actively supervises graduate students, many of whom are co-authors on his recent publications. He has taught courses including GEOG101, GEOG306, GEOG356, and led field research in Indonesia. He has also been involved in research projects related to flood recovery in Canada and post-disaster adaptations in countries like the Philippines, Bangladesh, and Thailand. He leads research initiatives centered on post-disaster adaptations at individual, community, and national levels, often working with interdisciplinary teams and international collaborators. His work contributes significantly to policy development and community resilience planning in vulnerable regions.

Tim BaarslagView profile

Professor

• Automated Negotiation
• Multi-Agent Systems
• Artificial Intelligence
• +4 more

Tim Baarslag is a Senior Researcher and group leader of the Intelligent and Autonomous Systems group at CWI (The Dutch research institute for Mathematics and Computer Science). He holds the title of Professor of Mathematics of Cooperative AI at Eindhoven University of Technology and serves as a Visiting Associate Professor at Nagoya University of Technology, Visiting Fellow at the University of Southampton, and Visiting Scholar at MIT. His research focuses on automated negotiation systems for collaborative decision-making in smart energy trading, IoT, autonomous vehicles, and digital privacy. Education : MSc (cum laude) and BSc (cum laude) from Utrecht University; PhD (cum laude) from Delft University of Technology Tim pioneered the COMBINE project (NWO Vidi grant) for coordinating multi-deal negotiations and developed the widely-used Genius negotiation environment. His work appears in prestigious venues like Science Magazine , Artificial Intelligence , and MIT Technology Review . He also leads the International Automated Negotiating Agent Competition and contributes to policy through memberships in The Young Academy and Netherlands Academy of Engineering . Recent research trends emphasize multi-deal negotiation protocols (2024), preference uncertainty modeling in privacy negotiations (2022), and scalable algorithms for handling outcome spaces as large as 10²⁵⁰ possibilities. His 2023 work on search algorithms for large negotiation domains has applications in energy trading and supply chain management. Scientific Awards : Cor Baayen Young Researcher Award (2017), Springer Theses Award (2016), multiple Best Paper Awards (AAMAS 2022, WI-IAT 2015, IJCAI 2014), and recognitions as Science Talent (2018), Academic Pioneer (2020), and Young Talent (2019) As a grant recipient , Tim leads NWO Vidi project COMBINE and previously held a Veni grant for preference uncertainty research. He mentors through organizing competitions, serving on conference PCs (AAAI, IJCAI), and reviewing in top journals like Artificial Intelligence . His work bridges theory and practice through the Genius framework and real-world implementations in smart grid and vehicular platooning.