Find Academic Supervisors

• Multimedia Computing
• Computer Vision
• Computer Graphics
• +7 more

Professor Zhiyong Wang is a faculty member at the School of Computer Science, University of Sydney, serving as Deputy Director of Sydney Informatics Hub and Director of the Multimedia Computing Laboratory. His research focuses on multimedia computing, including information retrieval, computer vision, AI, and applications in agriculture, healthcare, and environmental monitoring. He holds a B.Eng., M.Eng. from South China University of Technology, and a Ph.D. from The Hong Kong Polytechnic University. His work bridges theoretical advancements and real-world applications, with over 200 peer-reviewed publications. He is a member of IEEE and former President of Australia Pattern Recognition Society (APRS). Research Interests: Enabling computers to understand and create multimedia content, with emphasis on human-centric computing, remote sensing, and interdisciplinary applications. Notable areas include action recognition, medical image analysis, and environmental monitoring. Current Roles: Leads the Multimedia Computing Lab, collaborates with Sydney Institute of Agriculture and Brain and Mind Centre. Teaches COMP5216 (Mobile Computing), COMP5405 (Digital Media Computing), and COMP5425 (Multimedia Retrieval). Students: Supervises 9 Ph.D. students focusing on topics like precision agriculture, biomedical engineering, and AI-driven video analytics. Key projects include soil moisture forecasting, biomechanical risk analysis for knee osteoarthritis, and explainable machine learning.

Edwin LockView profile

Research Fellow

• Algorithmic Game Theory
• Auctions and Markets
• Algorithms & Complexity
• +3 more

Edwin Lock is a Research Fellow in the Department of Computer Science at the University of Oxford. His research focuses on algorithmic game theory, auctions, and computational economics, with an emphasis on mechanism design, pricing strategies, and market equilibria. He holds a BSc in Mathematics from FernUniversität Hagen, an MSc in Mathematics and Computer Science from the University of Oxford, and a BA in Music from Oxford. His work bridges theoretical foundations and practical implementations, including projects like Test and Contain—a resource-optimal testing strategy for pandemic response—which earned awards at EC’23 and SIGecom. Recent activities include a visiting scholar position at Harvard SEAS in 2025 and presentations at AAAI’25 and JPMorgan AI Research. Education: BSc Mathematics, FernUniversität Hagen MSc Mathematics & Computer Science, University of Oxford BA Music, University of Oxford Research interests include algorithmic solutions for complex markets, decentralized pricing mechanisms, and computational methods for equilibrium analysis. His work on pooled testing strategies and product-mix auctions demonstrates cross-disciplinary impact in economics and public health. Awards include the ACM GCEC’20 grant and best paper recognitions for contributions to algorithmic epidemiology and market mechanisms. Awards: Best Paper Award at EC’23 Best Poster Video Award at ACM SIGecom Workshop Exemplary Track Paper Award at EC’24 Collaborations span academia and industry, with recent focus on AI-driven preference elicitation and decentralized trading systems. His lab’s projects aim to advance both theoretical understanding and practical applications in algorithmic economics.

Dominic MachadoView profile

Associate Professor

• Roman History and Historiography
• Collective Action in Antiquity
• Dissent and Resistance in the Roman World
• +4 more

Dominic Machado is an Associate Professor in the Department of Classics at the College of the Holy Cross. He holds a PhD in Ancient History from Brown University (2017) and an A.B. in Classics and Economics from Dartmouth College (2009). His research focuses on collective action and dissent in Roman History, particularly within military communities of the Middle Republic. He co-directs the Lingua Latina Legenda (L3) project, funded by Holy Cross' Scholarship in Action Grant, which rethinks Latin pedagogy to address power structures in classical education. Key professional activities include serving on the Society for Classical Studies' Diversity and Inclusion Committee, the Mountaintop Coalition steering committee, and the Association of Ancient Historians' Diversity Working Group. His recent work explores how Classics intersects with modern issues of diversity, postcolonial theory, and media representation. His scholarship spans Roman military sociology, ancient rhetoric, and digital humanities, with notable contributions to understanding non-elite agency and the reception of antiquity in video games. Current projects include a monograph on Roman military communities' impact on Mediterranean systems.

Georgios SiolasView profile

Researcher

• machine learning
• text mining
• information retrieval
• +6 more

Georgios Siolas is a Senior Researcher at the Artificial Intelligence and Learning Systems Laboratory (NTUA-ISLab), part of the School of Electrical & Computer Engineering at the National Technical University of Athens (NTUA). He holds a BSc in Electrical & Computer Engineering from NTUA (1998), an MSc in Cognitive Science from Sorbonne Université (1999), and a PhD in Computer Science (2003). His research focuses on machine learning, text mining, information retrieval, and semantic web technologies, with applications in computer vision, recommender systems, and social network analysis. He develops intelligent systems for cultural heritage management, smart tourism platforms, and sign language recognition. Key contributions include innovations in neural architecture search, deep learning for hyperspectral imagery, and plagiarism detection in imbalanced datasets. His work integrates semantic technologies with pervasive computing for smart home environments.

Ning DingView profile

Lecturer

• Computer-Supported Collaborative Learning
• Business Education
• Digital Education
• +3 more

Ning Ding is a Lecturer at Hanze University of Applied Sciences in the Netherlands, affiliated with the Hanze Honours College and working within the Talent Development in Higher Education and Society department. Her academic work spans business education, digital education, and digital knowledge-building communities, with significant contributions to computer-supported collaborative learning (CSCL). Dr. Ding's research interests focus on knowledge elaboration processes, educational technology applications in business education, and the dynamics of collaborative learning environments. Her work particularly examines how students build knowledge in digital contexts, with attention to gender dynamics, cultural influences, and assessment methodologies. She has developed innovative metrics like the Epistemic Synchronization Index (ESI) to measure knowledge elaboration processes in collaborative settings. Her recent publications demonstrate a strong focus on digital education transformation, particularly highlighted by her 2020 study on remote teaching during the COVID-19 pandemic, which documented how a digital knowledge-building community emerged among honors teachers. This work has been widely recognized, with 48 readers on Mendeley and coverage in ScienceGuide. Best Practice-based Research Award 2022 COOC (Community of Open Online Course) - 2016 Nominated as Best Paper Prize at ICCE 2009, Hong Kong Nominated as Best Paper Prize at CSCL 2009, Rhodes, Greece The Innovation in Teaching of Research Methodology Excellence Awards - 2021 Dr. Ding has actively participated in international academic conferences, including presenting her work on Epistemic Synchronization Index at the 16th Biennial EARLI Conference in 2015. Her research has been consistently productive, with publications spanning from 2005 to 2022, demonstrating sustained scholarly activity in educational technology and business education. Her work bridges theoretical research with practical applications in higher education contexts.

James NicholsonView profile

Senior Lecturer

• human-centred cybersecurity
• usable authentication
• social engineering
• +4 more

James Nicholson is a Senior Lecturer in the School of Computer and Information Sciences at Northumbria University, specializing in human-centred cybersecurity research. His work bridges the gap between technical security systems and user experience, with a particular focus on making security more accessible and effective for diverse user groups including older adults, children, and organizational employees. Dr. Nicholson holds a BSc in Information Systems from Newcastle University (2008), an MRes in Psychology from Northumbria University (2009), and completed his PhD in Psychology in 2012. His doctoral research explored user authentication in the context of older adults under the supervision of Professor Lynne Coventry and Professor Pam Briggs. He is a Fellow of the Higher Education Academy (FHEA). His research interests center around usable authentication systems, social engineering defenses, and cybersecurity awareness across different demographics. Nicholson's work examines how to improve cybersecurity behaviors through embedding knowledgeable peers in communities, understanding user mental models of security threats, and developing practical tools to protect users against phishing and other social engineering attacks. His research spans multiple contexts including older adult communities, young people, organizational settings, and cross-cultural environments. Analysis of his recent publications reveals a strong focus on community-based security approaches, with particular attention to older adults' cybersecurity needs and experiences. His work increasingly explores digital legacy management, post-mortem data access, and the security implications of emerging technologies like smart homes and generative AI. A consistent theme throughout his research is understanding how different user groups perceive and interact with security systems, and how these insights can inform the design of more effective security solutions. Dr. Nicholson currently supervises PhD student Mayowa Tijani, whose research focuses on "Leveraging Artificial Intelligence for Combating Misinformation and Disinformation in Africa" (started March 2024). His previous research includes work on the Cybersecurity Across the Lifespan (cSALSA) project, Choice Architecture for Information Security (ChAISe), Digital Economy Research Centre (DERC), and the Horizon 2020 project CYBECO. Before joining Northumbria, he worked at Open Lab, Newcastle University on the TEDDI and SiDE projects. Based in the Ellison Building (Room B113) at Northumbria University in Newcastle upon Tyne, Nicholson continues to advance research that makes cybersecurity more accessible and effective for diverse populations through human-centered design approaches.

David DoermannView profile

Professor

• Document Image Understanding
• Video Analysis
• Pattern Recognition
• +9 more

David Doermann is a Professor and Department Chair of the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His research focuses on document image understanding, video analysis, pattern recognition, computer vision, media forensics, and artificial intelligence. Education: PhD in Computer Science, University of Maryland, College Park (1993) MS in Computer Science, University of Maryland, College Park (1989) BS in Computer Science/Mathematics, Bloomsburg University of PA (1986) Research Interests: Dr. Doermann's work spans computer vision, document analysis, and AI, with recent emphasis on histopathology image synthesis, motion prediction, and personalized vision-language models. His publications highlight advancements in neural architecture search, federated learning, and binary neural networks. Scientific Awards: Award for Excellence from the Under Secretary of Defense (2017) DARPA Results Matter Award (2016) IEEE Fellow (2014) IAPR Fellow (2014) Royal Academy of Engineering Fellowship (2011-2013) Honorary Doctorate from University of Oulu (2002) Future Work: He is exploring the integration of generative AI in software development and advancing techniques for human-centric video-depth generation.

Panagiotis Ch. AnastasopoulosView profile

Associate Professor

• Statistical and Econometric Modeling
• Transportation Safety
• Infrastructure Systems Reliability
• +7 more

Panagiotis (Panos) Ch. Anastasopoulos is an Associate Professor and the Stephen E. Still Chair of Transportation Engineering in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo, State University of New York. He also serves as Director of both the Stephen Still Institute for Sustainable Transportation & Logistics and the Engineering Statistics and Econometrics Application (ESEA) Research Laboratory within the School of Engineering and Applied Sciences. Dr. Anastasopoulos received his educational credentials from prestigious institutions: PhD in Civil Engineering from Purdue University (2009) MSc in Civil Engineering from Purdue University (2007) BS from Athens University of Economics & Business, Athens, Greece (2004) His research spans multiple cutting-edge domains in transportation engineering and statistical methods. Dr. Anastasopoulos specializes in statistical and econometric modeling of engineering problems, with particular expertise in infrastructure systems reliability, transportation safety, and crisis management. His work increasingly focuses on emerging technologies including autonomous and connected vehicle systems, advanced air mobility solutions, and the integration of human behavior with next-generation transportation technologies. He has made significant contributions to understanding public perceptions of emerging transportation modes like flying cars and autonomous vehicles, as well as developing innovative statistical methods for transportation data analysis. Analysis of Dr. Anastasopoulos' recent publications reveals a strong emphasis on applying sophisticated statistical and econometric methods to transportation safety challenges. His work frequently employs advanced modeling techniques including random parameters models, bivariate probit approaches, and hierarchical ordered probit analyses. There is a clear progression in his research toward addressing emerging transportation challenges including urban air mobility, autonomous vehicle integration, and the impact of public-private partnerships on transportation infrastructure safety. His highly cited work has appeared in top journals such as Analytic Methods in Accident Research, Accident Analysis and Prevention, and Transportation Research journals. Dr. Anastasopoulos has received significant recognition for his scholarly contributions: Named a Highly Cited Researcher by Web of Science for 2019, 2020, and 2021 Co-author of the widely used textbook "Statistical and Econometric Methods for Transportation Data Analysis" (3rd edition) As an academic leader, Dr. Anastasopoulos serves in multiple editorial capacities including Executive Associate Editor of Analytic Methods in Accident Research (ranked #1 journal in Safety Research and Transportation), Associate Editor for the ASCE Journal of Infrastructure Systems, and editorial board member for several other prominent transportation journals. His research has been supported by prestigious funding sources including the National Science Foundation's Innovation Corps Program, Federal Highway Administration, and New York State Department of Transportation. He has authored or co-authored over 160 papers, book chapters, and reports throughout his career. At the Engineering Statistics and Econometrics Application Research Laboratory (ESEA), which he founded and directs, Dr. Anastasopoulos leads a team that provides statistical and econometric consultation services to engineers and scientists. The lab focuses on developing solutions for partners throughout the School of Engineering and Applied Sciences at UB, with particular emphasis on transportation safety, infrastructure reliability, and emerging mobility technologies. The ESEA lab provides free consultation services to UB's engineering school and governmental agencies in New York State, and has worked on numerous projects including highway safety analysis, transportation data informatics, and infrastructure management systems.

Marjaana GunkelView profile

Professor

• International Human Resource Management
• International Organizational Behavior
• Employee Behavior
• +3 more

Marjaana Gunkel is a tenured full professor and dean of the Faculty of Economics and Management at the Free University of Bozen-Bolzano since 2015. Previously, she held professorships at Otto-von-Guericke-Universität Magdeburg and Leuphana Universität Lüneburg in Germany. She earned her PhD from Otto-von-Guericke-Universität Magdeburg, examining country differences in employee motivation. Her academic background includes: PhD from Otto-von-Guericke-Universität Magdeburg, Germany Professor Gunkel specializes in International Human Resource Management and International Organizational Behavior , investigating cross-cultural variations in HR practices and employee behavior. Her research explores how emotional intelligence, cultural intelligence, and multiple intelligences influence team dynamics and performance across borders, with publications in top journals including Journal of Applied Psychology and Journal of International Business Studies. Analysis of her 2022-2025 publications reveals a dominant focus on global virtual teams, examining the interplay between emotional/cultural intelligence and team performance. Her work addresses contemporary challenges including data-driven decision-making, pandemic impacts on virtual collaboration, and alternative workplace arrangements, demonstrating consistent evolution toward understanding modern organizational complexities. As dean and active researcher, she contributes to academic leadership and public discourse on workplace well-being, emphasizing her mission to impact people's work lives as stated in her 2023 video: "I became a scientist because I want to have an impact on peoples’ well-being at work."

Mirjana BajovicView profile

Assistant Professor

• Moral and Social-Cognitive Development
• Media Effects on Social Interactions
• Bullying in Children
• +3 more

Dr. Mirjana Bajovic is an Assistant Professor in the Department of Educational Studies at Brock University's Faculty of Education. Her research focuses on children and adolescents' moral, social, emotional, and cognitive development, with a particular emphasis on media effects, video game impacts, and integrating game-based learning into K-12 curricula. She explores how digital tools like iPads and video games influence learning, literacy, and moral reasoning. Dr. Bajovic holds a PhD and teaches courses such as EDUC 4P62 (Video Games in Educational Context) and EDUC 5P32 (Learning and the Mind). Her work has been featured in media outlets including BBC News and Forbes, discussing findings on gaming's effects on moral development. She has secured funding for projects like the SSHRC Insight Development Grant for 'Crayons and iPads: Understanding Young Children’s Meaning-Making Processes in Learning to Be Literate.' Her research spans educational psychology, media literacy, and holistic educational approaches. Key themes include moral literacy through character education, inquiry-based pedagogy with tablets, and bridging concrete and digital learning environments. Dr. Bajovic emphasizes 21st-century skills and the role of technology in fostering student-centered learning environments.

Zhiyao DuanView profile

Professor

• Computer Audition
• Audio-Visual Scene Understanding
• Machine Learning
• +3 more

Zhiyao Duan is a Professor in the Department of Electrical and Computer Engineering and Computer Science at the University of Rochester, with affiliations to the Goergen Institute for Data Science. He holds a B.S. and M.S. from Tsinghua University and a Ph.D. from Northwestern University. Primary: Department of Electrical and Computer Engineering Secondary: Department of Computer Science Affiliated: Goergen Institute for Data Science His research focuses on Computer Audition, exploring audio-visual scene understanding, source separation, and human-computer collaborative music systems. He has received prestigious awards including an NSF CAREER Award and best paper honors at SMC 2017. His work is funded by NSF, NIH, Adobe, Kwai, and others. Recent publications emphasize audio-visual integration, speech synthesis, and deep learning architectures. He actively participates in academic service, serving on editorial boards and technical committees. The Audio Information Research (AIR) lab, which he leads, has hosted numerous students and collaborated with institutions like Northwestern University, Tsinghua University, and Stanford University. Scientific Awards: NSF CAREER Award Best Paper Award at SMC 2017 Best Paper Nomination at ISMIR 2017 Grants: NSF BIGDATA Grant No. 1741472 NSF Grant No. 1846174 for Human-Computer Collaborative Music Making University of Rochester AR/VR and Health Analytics Grants Students: Yapeng Tian Lele Chen Sefik Emre Eskimez Bochen Li Rui Lu Yujia Yan

Yang YangView profile

Assistant Professor

• Data Mining
• Machine Learning
• Computational Social Science
• +4 more

Yang Yang is an Assistant Professor at the Mendoza College of Business, University of Notre Dame. He holds a PhD in Computer Science from the same institution and previously served as Assistant Professor at Syracuse University and Research Assistant Professor at Northwestern Institute on Complex Systems (NICO) and Kellogg School of Management. His research focuses on data mining, machine learning, computational social science, and science of science, particularly exploring how social networks influence leadership attainment and innovation dynamics in scientific contexts. Yang's work bridges computer science and social sciences, examining topics like team composition effects on innovation, media's role in science communication, and gender disparities in leadership. His research has been published in top-tier venues such as PNAS, KDD, ICDM, and featured in media outlets like Forbes, The Washington Post, and WIRED. His recent technical contributions include advancements in multimodal AI, remote sensing interpretation, and video synthesis techniques. Notable projects include geo-localization systems using satellite imagery, transformative video generation models, and human-centric animation technologies leveraging diffusion models and transformers.

• Computer Vision
• 3D Reconstruction
• Neural Networks
• +3 more

Fangjinhua Wang is a Researcher affiliated with the Department of Computer Science at ETH Zurich, working within the Professorship for Computer Science. Their role involves contributing to cutting-edge research in fields such as 3D reconstruction, computer vision, and neural networks. The research focuses on advancing methodologies like scene graph manipulation, multi-view stereo techniques, and holistic human-scene reconstruction. Collaborations and projects emphasize practical applications in robotics, computer graphics, and AI-driven systems. While no explicit education details are provided, the research trajectory reflects a deep engagement with computational methods for 3D modeling and vision-based systems. The work bridges theoretical advancements with real-world applications, addressing challenges in scene understanding, object interaction, and human-robot collaboration. Research interests are centered on interdisciplinary topics including neural representation learning, robust visual localization, and the integration of geometric priors for high-fidelity reconstructions. The output demonstrates a commitment to both foundational research and applied solutions in computer science and robotics.

Emilie CasparView profile

Associate Professor

• Voluntary actions
• sense of agency
• responsibility
• +14 more

Emilie Caspar is an Associate Professor at Ghent University (Belgium), specializing in cognitive and social neuroscience. Her research primarily focuses on voluntary actions, sense of agency, responsibility, empathy, and moral decision-making. She leads research at the CO3 lab, which investigates the intersection of neuroscience, psychology, and social behavior. Dr. Caspar completed her master's degree in neuropsychology and cognitive psychology, along with a certificate in forensic sciences and psychiatry. She earned her PhD in social and cognitive neurosciences from the Université libre de Bruxelles (Belgium) under the supervision of Axel Cleeremans. Following her PhD, she conducted postdoctoral research at University College London (UK) in Patrick Haggard's lab and later received a prestigious Marie-Curie Individual Fellowship for a 2-year postdoc at the Netherlands Institute for Neurosciences with Christian Keysers and Valeria Gazzola. Her research investigates how obedience to authority changes individual cognition and moral behaviors, with a particular focus on the neuro-cognitive mechanisms that prevent individuals from complying with immoral orders. Dr. Caspar has pioneered innovative experimental approaches to study disobedience to authority that comply with modern ethical standards. Her work extends beyond traditional WEIRD (Western, Educated, Industrialized, Rich, Democratic) populations to include diverse groups such as inmates, military personnel, and survivors/perpetrators of genocide. This global perspective allows her to develop a more comprehensive understanding of the societal impact of obedience and moral decision-making. Dr. Caspar employs a diverse methodological toolkit including behavioral experiments, EEG, ERPs, TFR, fMRI, robotics, and brain-computer interfaces to investigate questions related to free will, voluntary action, and the sense of agency. Her research spans multiple domains including forensic psychology, psychopathology, antisocial behaviors, moral consciousness, and applications in robotics and prosthetics. Dr. Caspar has received notable recognition including a Marie-Curie Individual Fellowship, which supported her postdoctoral research at the Netherlands Institute for Neurosciences. Her work has been published in high-impact journals including Nature Communications, Scientific Reports, and PLOS ONE. As a scientific consultant through Be Brain Consultancy, Dr. Caspar applies her expertise in behavioral neuroscience to humanitarian and societal projects focused on preventing blind obedience and promoting peace-building. She collaborates with NGOs and non-academic institutions to translate her research into practical applications. Her lab website (https://moralsocialbrain.com/) provides additional information about her research team and ongoing projects.

• Health Informatics
• Social Media Analytics
• Public Health Surveillance
• +4 more

Xiao Liu is an Assistant Professor in the Department of Information Systems at Arizona State University (ASU), Tempe campus. She holds a Ph.D. in Management Information Systems from the Eller College of Management at the University of Arizona. Her research focuses on leveraging data science and predictive analytics in healthcare, education, and fintech, with a particular emphasis on health informatics, social media analytics, and machine learning applications. Liu's work bridges computational methods with real-world healthcare challenges, analyzing social media data to understand medication nonadherence, opioid treatment barriers, and adverse drug events. Education Ph.D. in Management Information Systems, University of Arizona Research Interests Health Informatics Social Media Analytics Public Health Surveillance Machine Learning Natural Language Processing Grants NIH Grant: $984k (ASU Share: $262K) for 'Leveraging YouTube Video Analytics for Patient Education on Health Management: A Digital Therapy Tool for Clinicians' (2021–2024). Labs/Teams Not explicitly mentioned, but her research aligns with ASU's healthcare data science initiatives.