Find Academic Supervisors

Kurt SquireView profile

Professor

• Educational Technology
• Game-Based Learning
• Augmented Reality
• +4 more

Professor Kurt Squire is a leading scholar in games research and development at the University of California Irvine, affiliated with the Donald Bren School of Information and Computer Sciences. He holds a Ph.D. in Education from Indiana University (2004). His work focuses on leveraging computer games and augmented reality to enhance learning outcomes and social impact. Squire has pioneered platforms enabling students and teachers to co-create educational tools, fostering global grassroots communities through collaborative game design. Notable contributions include the Games + Learning + Society (GLS) center, which he co-founded with Constance Steinkuehler and has since relaunched at UCI. He currently explores AR applications, community-based AI design, and mitigating right-wing extremism in gaming ecosystems. Squire’s research has been funded by NSF, NIH, and major foundations, with over a dozen commercially launched games stemming from his projects. Education: Ph.D. in Education, Indiana University, 2004 Research Interests: Squire investigates how games and emerging technologies can address societal challenges through participatory design. His work spans educational equity, cognitive development via casual gaming, and ethical AI frameworks. He emphasizes translating academic innovations into market-ready solutions while aligning with institutional goals. Recent projects include wearable apps for youth self-regulation and trauma-informed GenAI design with marginalized communities. Notable Achievements: Recipient of the Inaugural Hasso Plattner Endowed Chair in Artificial Intelligence (2025) Co-founder of GLS, a globally influential research hub Authored Making Games for Impact (2021), a practitioner-focused guide Labs/Teams: Directs the Games + Learning + Society center at UCI, focusing on XR research, well-being technologies, and entrepreneurship in education. Collaborates with MIT on augmented reality initiatives.

• Immersive systems (VR, AR, MR, XR)
• Human-AI interaction and intelligent user interfaces
• HCI theory and methodology
• +3 more

Professor Eduardo Velloso is an academic staff member at the School of Computer Science , University of Sydney . He is a member of the Centre for AI Trust and Governance and holds a PhD in Computer Science from Lancaster University and a Bachelor of Computer Engineering from Pontifical Catholic University of Rio de Janeiro. Teaches COMP4447/5047 - Pervasive Computing and INFO1111 - Computing Professionalism Research Interests focus on distributed collaboration in mixed reality , human-AI interaction , and HCI theory and methodology . His work integrates Engineering, Design, and Psychology to explore gaze interaction, adaptive agents, and multimodal interfaces. Key projects include Blended Whiteboard for remote MR collaboration and GazeGrip for mobile accessibility. Publication Trends show expertise in Virtual Reality , Mixed Reality , and Human-AI Interaction , with recent work on Algorithmic Recourse and Immersive Educational Tools . Awards include ACM Best Paper Awards at CHI, UIST, TOCHI, and DIS venues. Scientific Awards 2024 ACM CHI & DIS Honorable Mentions 2022 UoM-FEIT Teaching & Learning Award 2019 UoM-CIS Excellence in Research Award 2015 ACM UIST Best Paper Award Advising includes supervision of research students Marvin, Tinghui LI, and Wendi YU in projects on asynchronous MR collaboration , situationally-induced impairments , and physical environment integration . His lab explores AI-assisted interaction and context-aware computing through projects like SpinalLog and LiftSmart .

Inna FishmanView profile

Associate Professor

• Autism Spectrum Disorders
• Developmental Neuroscience
• Brain Imaging
• +3 more

Inna Fishman, Ph.D., is a Research Associate Professor at San Diego State University's Department of Psychology within the College of Sciences. Her research investigates brain network organization in autism spectrum disorder (ASD) using multimodal MRI techniques, focusing on developmental trajectories from toddlerhood to adulthood. She directs studies on sensory processing, socioeconomic influences, and neural connectivity patterns in ASD. Research Focus: Dr. Fishman's work bridges social neuroscience and clinical neuropsychology, examining: Early biomarkers of ASD via functional/diffusion MRI Impact of bilingualism and socioeconomic factors on neurodevelopment Sleep disorders and sensory sensitivities in autistic children Aging-related neural changes in adults with ASD Publication Trends: Her recent articles (2021-2025) emphasize: 1) Advanced neuroimaging of ASD across lifespan stages, 2) Machine learning applications for diagnostics, 3) Socioeconomic and environmental modulators of brain development, and 4) Sleep/auditory processing comorbidities. Student Advising & Grants: She mentors doctoral candidates (Lindsay Olson, Jiwandeep Kohli, Bosi Chen) and leads NIH-funded projects including a clinical psychology fellowship for autism evaluation across ages. Laboratory Affiliation: Dr. Fishman co-directs the Brain Development Imaging Laboratories (BDIL), which investigates ASD manifestations through behavioral and neuroimaging approaches.

Didar ZowghiView profile

Researcher

• Artificial Intelligence Ethics
• Data Quality Management
• Requirements Engineering
• +4 more

Didar Zowghi is a Senior Principal Research Scientist and Science Team Leader at CSIRO Data61, Australia's national science agency. His work focuses on advancing ethical AI systems, data quality frameworks, and requirements engineering methodologies. He leads research initiatives addressing challenges in AI governance, diversity/inclusion in technology, and human-centered AI development. Research interests include AI ethics, data completeness in healthcare systems, and the application of machine learning in requirements engineering. His contributions span theoretical frameworks for responsible AI patterns, empirical studies on user perceptions of AI tools like M365 Copilot, and analysis of AI's role in global diplomatic practices. Zowghi has published extensively on topics ranging from blockchain in supply chains to pedagogical innovations in software engineering education. His work often bridges technical systems and societal impacts, emphasizing real-world implementation challenges through collaborative industry-academia projects. Notable outputs include the Responsible AI Pattern Catalogue and studies examining barriers to data quality in IoT platforms. He has pioneered frameworks linking innovation initiatives to occupational skill requirements and developed tools like Elica for dynamic requirements knowledge extraction in agile teams.

• Artificial Intelligence
• Machine Learning
• Pattern Recognition
• +11 more

Jianhua Zhang is a Professor of Computer Science and founding deputy head of the AI Lab at the Department of Computer Science, OsloMet - Oslo Metropolitan University, Norway. He holds affiliations with the Faculty of Technology, Art and Design. His career includes roles as Scientific Director at Vekia (France), Head of Machine Learning Lab, and Professorships at East China University of Science and Technology and Beijing University of Technology. He has held visiting positions at TU Berlin, TU Dresden, and the University of Catania. Educations: PhD in Electrical Engineering and Information Sciences (Ruhr University Bochum, 2005), Postdoctoral Research at the University of Sheffield (2005-2006). Research focuses on artificial intelligence, computational intelligence, cognitive human-machine systems, neuroergonomics, affective computing, and AI-driven neuroergonomics. Applications span engineering, biomedicine, finance, and business. He has led over 20 large-scale projects and published extensively (4 books, 13 chapters, ~200 papers). Leadership roles include Chair of IFAC Technical Committee on Human-Machine Systems (2017-2023), Vice Chair of IEEE Norway Section, and editorial roles at journals like Frontiers in Neuroscience and Cognitive Neurodynamics . He organized major conferences like IFAC HMS2025 (Beijing) and ICMLT 2024 (Oslo). Awards: Stanford/Elsevier Top 2% Scientists (2023/2024), Senior Research Fellowship (CSC, 2012), Max Planck Fellowship (2011), Shanghai Pujiang Talent (2007), DAAD Scholarship (2002-2004). Grants and advising: PI for 20+ projects, advising PhD students in AI, machine learning, and control systems. Teaching includes courses on computational intelligence, IoT, and fuzzy systems at both undergraduate and graduate levels. Labs/Teams: AI Lab at OsloMet, Machine Learning Lab (Vekia), and collaborations with institutions globally. Current work emphasizes AI ethics, neuroergonomics in smart cities, and adaptive human-machine systems.

Maneesh AgrawalaView profile

Professor

• Computer Graphics
• Human-Computer Interaction
• Information Visualization
• +2 more

Maneesh Agrawala is the Forest Baskett Professor of Computer Science at Stanford University and Director of the Brown Institute for Media Innovation. His research spans computer graphics, human-computer interaction, and information visualization. Agrawala's lab develops computational tools for visual communication, investigating how design principles improve media effectiveness. Current projects include diffusion models for image and video generation, sketch-based interfaces, and visualization tools for scriptwriting. His team creates systems that enable new forms of content creation and analysis. His publications demonstrate consistent innovation in visual computing, with recent advances in controllable generative models, video understanding, and visualization design. Agrawala has received numerous honors including the MacArthur Fellowship and ACM Fellowship for his contributions to visual computing.

Jane GuView profile

Professor

• High Efficiency Interconnect
• Low Power Interconnect
• Millimeter-Wave Systems
• +6 more

Q. Jane Gu is a Professor at the School of Electrical and Computer Engineering at Georgia Tech since September 2024, holding the Ed and Pat Joy Professorship. Previously, she was at the University of California, Davis (2012–2024) and the University of Florida (2010–2012). She earned her Ph.D. in Electrical Engineering from UCLA in 2007. Her research focuses on high-efficiency, low-power interconnects, millimeter-wave, sub-mm-wave, and terahertz integrated circuits and systems for applications in communication, radar, and imaging. Notable contributions include sub-THz resonator-based sensors, dielectric waveguide interconnect channels, and energy-efficient transmitters. Recipient of NSF CAREER Award (2013) 2015 UC Davis Outstanding Junior Faculty Award 2017 and 2018 Qualcomm Faculty Awards 2019 UC Davis Chancellor’s Fellow 2022–2023 IEEE SSCS Distinguished Lecturer Her group has garnered nine best paper awards, including top honors at the 2016, 2017, and 2020 IEEE MTT-S International Microwave Symposia. Research interests span terahertz interconnects, millimeter-wave radar systems, and integrated circuits for high-speed communication. Publications reflect advancements in sensor design, high-frequency transceivers, and phased-array systems, emphasizing energy efficiency and signal integrity.

• Digital Media Art
• Electronic Music
• Hip-Hop
• +5 more

Paul D. Miller, known professionally as DJ Spooky, That Subliminal Kid, is a Professor of Music and Mediated Art at The European Graduate School (EGS). Based in New York City, he is an experimental electronic and hip-hop musician, conceptual artist, and writer whose work spans music production, film, multimedia installations, and critical theory. He has released over a dozen albums pioneering 'illbient' and trip hop genres, authored influential books including Rhythm Science and Sound Unbound , and exhibited internationally at venues like the Venice Biennale and Andy Warhol Museum. Education: Bowdoin College: Studied philosophy and French literature; thesis on Richard Wagner's Gesamtkunstwerk as precursor to new media. Research Interests: Miller's work centers on remix culture as a postmodern methodology, exploring intersections of sound, image, and technology. His theoretical framework positions the DJ as a 'post-subjective auteur' who creates meaning through layered connections across time, culture, and media. Key projects include Rebirth of a Nation (reworking D.W. Griffith's film to address racial history) and Terra Nova (Antarctica sound recordings addressing climate change), demonstrating his focus on historical reinterpretation and environmental crisis through digital media. Publications: His 14 scholarly articles (2001-2009) analyze remix as cultural practice across domains from album art history ( The Inner Sleeve ) to Baudrillard's philosophy ( Baudrillard: A Remembrance ). The corpus reveals consistent investigation into how sampling, digital layering, and media archaeology reshape narrative, memory, and cultural identity in the information age. Awards: No scientific awards or fellowships were documented in the source text. Advising and Grants: The source text provides no information regarding students supervised, academic advising, or research grants administered by Miller. Labs and Teams: Miller operates through project-based collaborations rather than fixed labs, forming temporary collectives with institutions like the American Museum of Natural History (for Terra Nova ) and artists including Yoko Ono, Ryuichi Sakamoto, and choreographer Francesca Harper. His 'Unfinished Stories' project with Pulitzer-winning critic Margo Jefferson exemplifies his interdisciplinary approach bridging dance, music, and social commentary.

Laurie WilcoxView profile

Professor

• Vision Science
• Neuroscience
• Binocular Vision
• +4 more

Laurie Wilcox is a Full Professor in the Department of Biology at York University, affiliated with the Faculty of Science. Her research focuses on stereopsis, binocular vision, and depth perception, particularly exploring how the visual system processes binocular disparity signals. She leads a laboratory investigating cortical systems for fine and coarse disparities, with studies on amblyopia and applied collaborations with companies like Christie Digital and IMAX. Her work bridges basic neuroscience and applied research, addressing depth perception in 2D/3D displays and VR environments. Key interests include stereoscopic volume representation, perceptual grouping, and the impact of monovision on depth judgments. Recent studies examine lightness constancy in virtual reality, depth magnitude errors in 3D displays, and neural activation patterns in object-selective visual cortex. Wilcox has published extensively on binocular vision mechanisms, including coarse stereopsis in strabismus patients and the role of motion parallax in depth perception. Her applied projects evaluate visual fidelity in stereoscopic content, compression algorithms, and ergonomic considerations for XR devices. She also investigates how environmental context (e.g., familiar size, natural scenes) modulates depth perception accuracy across real and virtual environments. Her research emphasizes translational applications, aiming to optimize display technologies through insights from human visual processing. Ongoing work explores perceptual integration of binocular and monocular cues, attention modulation by depth, and the neurophysiological underpinnings of stereoscopic vision.

Susanne JaeggiView profile

Professor

• Cognitive Training
• Executive Functions
• Individual Differences in Cognition
• +4 more

Susanne M. Jaeggi is a Professor of Psychology at Northeastern University, with additional affiliations in the Bouve College of Health Sciences and the College of Arts, Media, and Design. Her research focuses on cognitive training, executive functions, and individual differences in cognition across the lifespan. She holds PhDs in Cognitive Psychology and Neuroscience from the University of Bern (Switzerland), and completed postdoctoral work in Cognitive Neuroscience at the University of Michigan. Her work has been funded by NIH, NSF, IES, ONR, and the Advanced Education Research and Development Fund (AERDF). She leads the Working Memory & Plasticity Lab , which develops interventions to improve working memory and executive functions, and co-leads the Brain Game Center for Mental Fitness and Well-Being , creating evidence-based brain fitness tools. Jaeggi’s research emphasizes understanding mechanisms of cognitive improvement through training, including neuroplasticity and individual variability. Key areas include cognitive aging interventions, gamification, sensory-cognitive interactions, and the impact of socioeconomic factors on academic achievement. Her work integrates behavioral experiments, neuroimaging, and digital health technologies to address real-world challenges in education and healthcare. Recent studies explore music/art-based interventions, brain stimulation (e.g., tDCS), and scalable cognitive assessments. Collaborations span disciplines, with publications addressing topics like neural correlates of training, motivational features in interventions, and cross-modal perception. Her labs emphasize translating findings into public-facing tools, such as freely accessible brain fitness apps. Current projects include optimizing interventions for ADHD populations and leveraging digital platforms for global mental fitness.

Laurent LessardView profile

Associate Professor

• Control Theory
• Optimization Algorithms
• Machine Learning
• +4 more

Laurent Lessard is an Associate Professor of Mechanical and Industrial Engineering at Northeastern University, with courtesy appointments in Electrical and Computer Engineering and the Khoury College of Computer Sciences. He is a core faculty member of the Institute for Experiential AI. Previously, he was at the University of Wisconsin-Madison. His research focuses on control theory, optimization algorithms, machine learning, and decentralized systems. He holds a PhD from Stanford University (2011) and completed postdocs at Lund University and Berkeley. Education: PhD in Aeronautics and Astronautics, Stanford University, 2011 MS in Aeronautics and Astronautics, Stanford University, 2005 BASc in Engineering Science (Aerospace), University of Toronto, 2003 Research Interests: Control theory, optimization algorithms, machine learning, distributed systems, and robust control. His work bridges control theory and optimization, emphasizing algorithm design and analysis with applications to AI and autonomous systems. Key Projects: Includes NSF-funded research on distributed optimization, Army-funded work on cognitive distributed sensing, and studies on algorithm equivalence and robustness. Awards: NSF CAREER Award (2018), Hugo Schuck Best Paper Award (2013), Gerald Holdridge Teaching Excellence Award (2019). Grants & Labs: Principal investigator on multiple NSF grants, including work on decentralized control and optimization. Active in the Kostas Research Institute for Homeland Security. Leads a research group with a focus on theoretical and applied control systems. Publications: Over 50 peer-reviewed articles, including foundational work on optimization algorithms and control theory. Recent work emphasizes robustness, distributed systems, and machine learning integration.

Niall WintersView profile

Research Fellow

• Educational Technology
• Global Health
• Healthcare Informatics
• +3 more

Niall Winters is a Visiting Fellow at the University of Oxford's Department of Education, previously serving as Professor of Education and Technology and an Official Fellow. His research focuses on socially-just technology innovations, particularly in healthcare and education, supported by over €7 million in funding. He holds a PhD in Computer Science from Trinity College Dublin. Key roles include co-convenor of the Critical Digital Education Research Group, director of the MSc Education (Digital and Social Change), and mentor to Kellogg students. Prior to Oxford, he was a Reader in Learning Technologies at UCL Institute of Education and Deputy Head of the Department of Culture, Communication and Media. His research integrates global health challenges with digital solutions, emphasizing community health workers' training in low-resource settings. Collaborations include the Global Centre on Healthcare and Urbanisation at Kellogg and projects with UNESCO, WHO, and the NHS. He has held fellowships at institutions like Sciences Po and MIT Media Lab Europe. Publications span mobile health technologies, gamification in medical education, and policy frameworks for digital equity. His work bridges theory and practice, advocating for ethical technology design that addresses systemic inequalities in education and healthcare systems.

Dimitris KolovosView profile

Professor

• Automated and Model-Based Software Engineering
• Model-Driven Software Engineering
• GenAI for Software Engineering
• +4 more

Roles and Affiliations : Dimitris Kolovos is a Professor of Software Engineering at the University of York's Department of Computer Science. He leads the Automated Software Engineering (ASE) research group and is an Eclipse Foundation committer, leading development of the Epsilon open-source platform. His roles include research leadership, teaching, and academic service. Education : PhD in Software Engineering - University of York MSc in Software Engineering with Distinction - University of York First Class Honours Degree in Informatics - Athens University of Economics and Business Research Interests : Kolovos focuses on advancing Model-Driven Engineering (MDE), GenAI integration in software development, low-code platforms, and data analytics. His work emphasizes scalable modeling tools, education technology (e.g., MDENet platform), and industry collaboration with organizations like NASA, BAE Systems, and Siemens. Labs and Projects : He leads the Epsilon project under the Eclipse Modelling initiative, developing tools for model transformation, validation, and code generation. His research group also explores AI-driven model transformations and hybrid graphical-textual editors.

Heidi VandeboschView profile

Professor

• Cyberbullying
• Health Communication
• Online Behavior
• +5 more

Heidi Vandebosch is a Professor at the University of Antwerp's Department of Communication Studies. A prominent figure in cyberbullying research since 2005, she combines academic rigor with practical applications through her role as senior member of the MIOS research group and leadership in international COST actions. PhD in Social Sciences from KU Leuven (1999) Postdoctoral grants from FWO and KU Leuven research council Academic career progression from assistant professor (2004) to full professor (since 2016) Research Focus : Cyberbullying prevalence, impact, and interventions; digital health games; media psychology; food literacy promotion through social media. Her work bridges theoretical research with practical implementation, including development of the Friendly ATTAC digital game and Cyberscan anti-bullying tools. Key Projects : Friendly ATTAC (€1.04M IWT SBO grant) Cyber-shoc interdisciplinary research BOF Concerted Research Project on adaptive health interventions Awards & Grants : Multiple prestigious FWO grants, IWT SBO funding, and BOF research support. She chairs expert panels and contributes to national educational policy through the Flemish Educational Board (VLOR). Teaching : Offers courses at all academic levels including Introduction to Communication Studies (1BA), Media Audiences & Effects (2BA), and Health Communication (MA). International Engagement : Active in COST actions, editorial roles at Communications. The European Journal of Communication Research , and advisory positions for media literacy initiatives.

• Machine Learning
• Natural Language Processing
• Computational Linguistics
• +3 more

Jordan Boyd-Graber is a Full Professor at the University of Maryland, affiliated with the Department of Computer Science and the University of Maryland Institute for Advanced Computer Studies (UMIACS). His research focuses on machine learning, natural language processing, computational linguistics, topic models, and question answering. He has made significant contributions to the development of interactive topic modeling systems and evaluations of large language models. His work often bridges theoretical advancements with practical applications, such as improving human-AI collaboration and enhancing the interpretability of machine learning models. Boyd-Graber’s research also addresses challenges in adversarial examples, calibration of models, and the ethical implications of AI systems. His recent publications span cutting-edge topics like evaluating topic models through ProxAnn, mitigating hallucinations in vision-language models, and exploring human-AI complementarity in question answering. He collaborates extensively with researchers in computer science, linguistics, and social sciences to advance interdisciplinary applications of NLP and ML.