Find Academic Supervisors

William BulkoView profile

Associate Professor

• Artificial Intelligence
• Expert Systems
• Programming Languages
• +2 more

William Bulko is an Associate Professor in the Department of Computer Science at the University of Texas at Austin. His work bridges Artificial Intelligence, Programming Languages, and Computer Science Education, with a focus on mobile development and pervasive computing. Ph.D. in Computer Sciences (UT Austin, specialization in Artificial Intelligence) B.S. in Mathematics (University of Texas at El Paso, Summa Cum Laude) Research spans interdisciplinary projects, such as integrating Computer Science with Journalism, and technical innovations in: Network Security (ARP Cache diagnostics) Hardware Authentication (electromagnetic profiling patents) Object-Oriented Systems (access control, operator overloading) Diagrammatic Reasoning (physics problem-solving, visual languages) His publications highlight expertise in AI, software engineering, and educational technology, with recent patents on computing desktop management and device security. Bulko serves on the Review Board of Applied Intelligence and as Faculty Advisor for the UT CS Roadshow. Scientific Recognition : 1988 MCC Award for Excellence in Computer Science nominee Teaching roles include CS 371L: Mobile Programming for iOS and CS 329E: Elements of Web/Mobile Computing . He has also led summer programs on Python and iOS development.

Brian R. TooneView profile

Assistant Professor

• Web Engineering
• Software Engineering
• Trust and Security
• +6 more

Brian R. Toone serves as an Assistant Professor in the Department of Mathematics and Computer Science within Samford University's Howard College of Arts and Sciences. A native of Hoover, Alabama, he teaches in Samford's growing computer science program with a focus on one-on-one student interaction. Toone holds a BS in Computer Engineering from Clemson University and both MS and PhD degrees in Computer Science from the University of California-Davis. His educational background prepared him for a career that blends academic research with practical software development experience. His research spans multiple areas of computer science with particular focus on web engineering, software engineering, trust and security systems, programming languages, database applications, and parallel processing. Toone is actively working to apply software engineering concepts to web application development and optimization, with special interest in bringing parallel computation capabilities to web applications. He is currently building a virtual supercomputer by networking department computers to donate idle processing cycles across campus. His publication history reveals consistent research in trust mediation for distributed information systems, with significant work between 1998-2008. His research evolved from control flow prediction in high-performance computing (1998) to web engineering and Ajax applications (2006-2008), showing adaptability to changing technology landscapes. Toone is an active member of professional organizations including the Association for Computing Machinery (ACM) and the Institute for Electrical and Electronics Engineers (IEEE). His research has been presented at numerous conferences including the ACM Mid-Southeast Chapter, Alabama Academy of Science, and various security and information systems conferences. Beyond academia, Toone is a competitive cyclist who has participated in major endurance cycling events including Paris-Brest-Paris (2023) and Race Across America (2017), where he raised awareness for Duchenne Muscular Dystrophy through the Ride4Gabe initiative.

Tim ChenView profile

Senior Lecturer

• Human-Computer Interaction
• Computer Graphics
• Artificial Intelligence
• +4 more

Dr. Tim Chen is a Senior Lecturer at the School of Computer Science, University of Adelaide, with research focused on augmenting human capabilities through human-centered AI systems. He leads interdisciplinary teams in projects like the Augmenting Ability CRC and the IMAGENDO Project , which received the Eureka Prize and NHMRC Idea Grant. Affiliation: University of Adelaide Collaborators: Prof. Patrick Baudisch (HPI), Prof. Takeo Igarashi (U of Tokyo), Prof CT Lin (UTS), Dr. Li-Yi Wei (Adobe Research) Research Interests: Human-AI interaction paradigms ( AI as Assistant, Collaborator, Oracle ), virtual reality training, contrastive learning, and data visualization. His work bridges AI/ML, computer graphics, and human-computer interaction to empower knowledge workers. Recent Achievements: Two CHI 2025 papers on VR learning, SIGGRAPH 2025 jury committee role, and ARC DP analysis website development. Funding includes NHMRC (~$2M) and AEA Ignite grants. Scientific Awards: Eureka Prize-winning leadership NHMRC Idea Project Grant AEA Ignite Grant (~$500k)

Fateme RajabiyazdiView profile

Assistant Professor

• Information Visualization
• Human-Computer Interaction
• eHealth
• +5 more

Fateme Rajabiyazdi is an Assistant Professor at Carleton University in the Department of Systems and Computer Engineering , with cross-appointments to the School of Information Technology and Bruyère Research Institute . She holds a Ph.D. in Computer Science from the University of Calgary (2018), focusing on information visualization . Education : Ph.D. (Computer Science, University of Calgary), M.Sc. (Computer Science, Australian National University) Research Interests revolve around real-world health data visualization , specifically patient engagement in medical care , health data tracking , patient-provider communication , and decision-making support . Her work integrates Human-Computer Interaction (HCI) and eHealth technologies , with applications in diabetes management , cardiac rehabilitation , and aging populations . Publications (2025–2020) span information visualization , patient-generated health data , and medical decision-making . Key venues include Journal of Medical Internet Research , Frontiers in Surgery , and ACM CHI . Recent projects include TextVista (NLP-enhanced visualization) and My Personal Brain Health Dashboard for HIV patients. Scientific Awards : Ward of 21st Century Health Services Research Scholarship (PhD) FRQS Postdoctoral Scholarship (2020, ranked 4th in Quebec) Best Student Paper Award at Graphic Interface 2024 Honorable Mention at ACM CHI 2025 Students include PhD candidates in Biomedical Engineering , Master’s students in Data Science and Human-Computer Interaction , and research assistants across disciplines. Her lab collaborates on health visualization tools and assistive technologies .

Tomoko TamariView profile

Associate Professor

• Japanese culture & society
• Consumer culture
• Visual culture
• +8 more

Tomoko Tamari is Reader in Sociology at Goldsmiths, University of London, affiliated with the Institute for Creative and Cultural Entrepreneurship (ICCE). She joined Goldsmiths in 2013 after serving as a research fellow at Nottingham Trent University. Her academic background spans sociology, mass communication studies, and women's studies, with current interests intersecting sociology, cultural studies, and body studies. She serves as Managing Editor of Body & Society (Sage Publications) and coordinates the Theory Culture & Society 'New Encyclopaedia Project'. Tamari's research interests encompass Japanese culture and society, consumer culture, visual culture, and technology's relationship with the body. Her current working areas include animation and human perception (particularly affect in digital aesthetics and hand-drawing moving images), technology and modern architectural design (exploring Japanese Metabolism movement), food culture and lifestyles in 20th century Japan, the body and medicine (focusing on probiotics industry), body image and prosthetic aesthetics in Paralympic culture, techno-animism, and human-machine integration. Her work consistently examines how technology reshapes bodily experience and cultural practices. Her recent publications demonstrate a clear trajectory toward examining the intersections of digital technologies, human perception, and embodiment. The majority of her work from 2023-2025 focuses on AI, digital aesthetics, animation, and the materiality of the body in technological contexts. This represents an evolution from her earlier work on Japanese consumer culture and department stores toward contemporary digital and technological questions while maintaining her core interest in embodiment and cultural practices. Tamari has been actively involved in academic leadership through her editorial roles, including co-editing special journal issues on the Tokyo Olympics and post-university scholarly apparatus. Her conference presentations reflect engagement with cutting-edge discussions about AI, embodiment, and the future of knowledge production in digital society. While specific grant information isn't detailed in the provided texts, her extensive publication record and editorial positions indicate significant research activity and scholarly recognition.

• Human Factors
• Cognitive Science
• Cyberpsychology
• +7 more

Professor Phillip Morgan is a leading academic in Human Factors and Cognitive Science at Cardiff University's School of Psychology, holding a Personal Chair since 2020. He directs the Human Factors Excellence (HuFEx) Research Group and serves as Director of Research for the Centre for Artificial Intelligence, Robotics & Human-Machine Systems (IROHMS) . Since March 2019, he has been seconded part-time to Airbus as Director of their Centre of Excellence in Human-Centric Cyber Security . BSc (Hons) Psychology, Cardiff University (2001) PGDip Research Methods, Cardiff University (2002, Distinction) PhD in Cognitive Psychology, Cardiff University (2005) PGCHE, University of Wales (2012, Distinction) His research merges Human Factors with Cognitive Science to address real-world challenges in: Human-machine interaction in autonomous systems Cyberpsychology and security behavior Transport human factors (connected/autonomous vehicles) Interruption/distraction effects on cognition Trust and blame dynamics in AI systems Industry 5.0 human-centric manufacturing Recent publications show AI and cybersecurity as dominant themes, with specific focus on autonomous vehicle interfaces, human fatigue analysis, and trust calibration in human-machine systems. His work integrates behavioral experiments, driving simulators, and human-state monitoring. Scientific Recognition: Associate Fellow of the British Psychological Society Best Paper Award at AHFE 2021 Member of Experimental Psychology Society Keynote speaker at multiple international conferences As supervisor, he leads projects on cybersecurity frameworks, fatigue detection, and human-AI interaction. His grants portfolio exceeds £37m from sources including EPSRC, ESRC, Airbus, and Wellcome Trust. Current supervisees include Victoria Marcinkiewicz, George Raywood-Burke, and Nicola Turner.

• Data Visualization
• Visual Analytics
• Big Data Analysis
• +12 more

Professor Jang Yoon is a faculty member in the Department of Computer Engineering at Sejong University, South Korea. He currently holds the position of Daeyang Distinguished Professor and leads the Data Visualization Lab. His academic journey includes postdoctoral research at the Swiss National Supercomputing Center (2007-2009), ETH Zurich (2009-2011), and Purdue University (2011-2012). His educational background includes a Bachelor's degree from Seoul National University in Electrical Engineering (2000), and Master's and Doctoral degrees from Purdue University in Electrical and Computer Engineering (2002 and 2007). His academic progression at Sejong University shows his appointment as Assistant Professor (2012-2016), Associate Professor (2016-2022), and Professor (2022-present). Professor Jang's research spans multiple domains within data science and visualization, with primary focus on data visualization, visual analytics, and their applications in various domains. His work bridges theoretical computer science with practical applications in traffic analysis, healthcare, and smart city infrastructure. He has developed innovative techniques for spatiotemporal data visualization, volume rendering, and causal analysis in complex datasets. His recent publications (2023-2025) demonstrate a strong focus on integrating deep learning with visualization techniques, particularly in traffic analysis, volume rendering, and large language model interpretability. His work shows a clear trajectory toward combining causal inference with visual analytics, applying these methods to urban traffic systems, structural health monitoring, and public relations analysis. Professor Jang has served in numerous leadership roles in major visualization conferences including IEEE VIS, IEEE PacificVis (as General Chair in 2023), EuroVis, and HCI Korea conferences. His service contributions include program committee memberships and chair positions across multiple prestigious conferences in the visualization field. His laboratory work focuses on practical applications of visualization techniques with numerous patents registered in Korea. His research has resulted in multiple practical systems for traffic analysis, VR sickness detection, data quality improvement, and eye-tracking applications. The lab maintains strong industry connections through applied research projects addressing real-world problems.

Thorsten VittView profile

Researcher

• Digital Humanities
• Computational Philology
• Authorship Attribution
• +12 more

Thorsten Vitt is a Researcher at the Chair of Computational Philology and Modern German Literary History within the Faculty of Philosophy at the University of Würzburg . His role includes academic advising for Digital Humanities degree programs, IT support for the Chair, and technical leadership in digital edition projects such as the Faust Edition and TextGrid . He is affiliated with the ZPD (Zentrum für Philologie) and works on computational methods for literary analysis. Current Projects : Faust Edition, ESF-ZDEX, TextGrid, DARIAH-DE Technical Expertise : Markup Languages, Linguistic Query Languages, Database Systems Research Interests : Digital Humanities, Computational Philology, Authorship Attribution, Topic Modeling, Digital Editions, Data Visualization, Software Development for Humanities. His work bridges computer science with literary studies, focusing on algorithmic analysis of historical texts and digital scholarly editions. Publications highlight his contributions to computational analysis of Goethe's Faust, topic modeling tools, and distance measures like Burrows' Delta. He has developed software libraries for stylometric analysis and collaborates on infrastructures like TextGrid and DARIAH-DE. Education : Completed a diploma thesis on "Queries to Complex Corpora" (2005) and a student research paper on "Storing Linguistic Corpora in Databases" (2004) at Humboldt University Berlin. Technical Leadership : Deputy IT support for the Chair, contributor to GitHub repositories including pydelta and faust-web , and developer of tools for topic modeling and digital editions.

Srinivasa G. NarasimhanView profile

Professor

• Computer Vision
• Computer Graphics
• Computational Imaging
• +5 more

Srinivasa G. Narasimhan is the U.A. and Helen Whitaker Professor of Robotics at Carnegie Mellon University's Robotics Institute within the School of Computer Science. He directs the Illumination and Imaging Laboratory (ILIM) and leads the Computational Imaging group, focusing on the physics of computer vision and graphics. His research develops novel imaging technologies for applications in robotics, transportation, medical imaging, and environmental sensing. Research interests span computational imaging, light transport modeling, and active perception systems. Key areas include: Physics-based vision for atmospheric and material interactions Novel camera designs and programmable lighting systems Robust perception for autonomous vehicles and medical diagnostics Non-line-of-sight imaging and computational scatterography Publications demonstrate strong emphasis on 3D reconstruction, computational optics, and vision systems for intelligent transportation. Recent works leverage self-supervised learning for dynamic scene understanding and develop novel sensors for medical and automotive applications. Awards and honors include: Best Paper awards at CVPR (2019, 2022), IV (2021), and ICCP (2020) Marr Prize Honorable Mention (ICCV 2013) Multiple demo awards at CVPR/ICCP Current advising includes 5 PhD students and 1 master's student. Major grants include NSF EXPEDITIONS (Computational Photo-Scatterography), DARPA REVEAL, and industry support from Ford, GM, Adobe, and Zillow. Manages multiple labs developing technologies like adaptive headlights, thermal imaging systems, and MHz-rate light steering devices.

Joe Sutliff SandersView profile

Associate Professor

• Children's Literature
• Graphic Novels
• Speculative Literatures
• +4 more

Joe Sutliff Sanders is a University Associate Professor in the Faculty of Education at the University of Cambridge. He holds a PhD from the University of Kentucky and has held roles as a junior high school English teacher in Japan and a Fulbright Fellow at the University of Luxembourg. His research focuses on children’s literature’s intersections with form, genre, and ideology, particularly examining how texts like picture books, comics, and speculative fiction address difference and marginalization. Key research interests include animation, children’s nonfiction, comic books, gender studies, and librarianship. He co-leads the Children’s Literature Research Centre and has published extensively on graphic novels, nonfiction, and classic girlhood narratives. Sanders currently serves as Deputy Director of Learning and Teaching and coordinates the first-year Humanities Paper, alongside teaching courses in children’s literature and research methods. His work has been recognized with awards for articles and edited volumes, including the Children’s Literature Association’s Best Article Award (2015) and a runner-up award for his 2008 article on orphan girl novels. Sanders actively contributes to professional networks, serving on editorial boards for journals like Children’s Literature in Education and Extrapolation , and judges the Young Adult Fiction Festival at the American Library in Paris. Recent projects include an open-access collection on comic books and the Global South, a book on comic history and library gatekeeping, and articles exploring children’s nonfiction, Chinese graphic novels, and autism representation in comics. His teaching and research emphasize interdisciplinary approaches to understanding how literary forms shape cultural narratives.

• Data Science
• Business Analytics
• Human-AI Interaction
• +3 more

Zoey Jiang is an Assistant Professor of Business Technologies at the Tepper School of Business, Carnegie Mellon University since 2020. She holds a PhD from the University of Michigan–Ann Arbor (2020) and dual bachelor’s degrees in BA/BS from Peking University (2014). Her research bridges data science and operations management through innovative applications in AI collaboration, pricing optimization, and healthcare analytics. Education : PhD (University of Michigan–Ann Arbor, 2020), BA/BS (Peking University, 2014) Research Interests focus on: Human-AI collaboration frameworks High-dimensional choice modeling for retail analytics Competitive pricing mechanisms Crowdsourcing contest optimization Healthcare operations through behavioral data Key Publications demonstrate expertise in: Machine learning for substitution patterns in online retail Real-time AI assistance in healthcare Dynamic feedback policies in crowdsourcing Competitive pricing at scale Scientific Recognition : Recipient of Ross T&O Research Productivity Award (2019) Professional Contributions include: INFORMS TIMES Vice President (2025) Editorial reviewing for Management Science , Information Systems Research , and Manufacturing & Service Operations Management Teaching covers data science applications in business through courses like: Data Exploration and Visualization Data Mining & Business Analytics Seminar in Business Tech: Human-AI Interactions

• Human-Computer Interaction
• Artificial Intelligence
• Data Visualization
• +3 more

Dr. Damien Masson is an Assistant Professor in Human-Computer Interaction at the Université de Montréal, affiliated with Mila (Quebec AI Institute) and IVADO. He leads the Montréal HCI group and focuses on intelligent systems, document augmentation, and interactive visualization tools. His work bridges HCI, AI, and data science to improve how humans interact with complex information. Education: PhD in Computer Science (University of Waterloo, 2023), MSc from Université de Lille (2018). His research includes systems like Chameleon (interactive documents), ChartDetective (data extraction), and Textoshop (AI-based text editing). He has published at top venues like CHI and UIST, winning multiple awards including the 2023 Bill Buxton Dissertation Award. He actively mentors students across PhD/master's/undergraduate levels and develops open-source tools like Statslator.js and DirectGPT. His lab explores future directions in adaptive interfaces, multimodal interaction, and AI-driven document systems.

• Multi-Agent Systems
• Agent-Oriented Software Engineering
• Hypermedia Multi-Agent Systems
• +7 more

Rem Collier is an Associate Professor in the School of Computer Science at University College Dublin (UCD). He holds a PhD in Computer Science from UCD (2001) and has held academic roles including Assistant Lecturer (2004), College Lecturer (2005–2018), and his current position since 2018. His research focuses on Multi-Agent Systems (MAS), Agent-Oriented Software Engineering (AOSE), Hypermedia MAS, Digital Twins, and applications in smart agriculture and urban simulation. He leads the CONSUS project (2022–2024) and collaborates on CAMEO (2021–2024). Education: BSc (Pure/Applied Mathematics, University of Bristol, 1994), MSc (Computation, UMIST, 1995), MPhil (UMIST, 1996), PhD (UCD, 2001). Research interests include Agent Factory Framework, ASTRA programming language, and integrating MAS with microservices. Notable achievements include the CIA System Innovation Award 2003 (ACCESS architecture) and Best Paper Awards at EMAS2020 and Mobile Learning 2006. His work spans over 150 peer-reviewed publications and grants such as HOTAIR (2004–2005) and SIFT (2008–2011). Teaching includes modules on Multi-Agent Systems, Distributed Systems, and Security. He has coordinated courses at UCD and the Joint UCD-Fudan program in Beijing and Sri Lanka. Labs/Teams: Active in Hypermedia MAS Simulation, collaborating on projects like CONSUS and CAMEO, emphasizing smart agriculture and distributed knowledge graphs.

Gary BowdenView profile

Associate Professor

• Environmental Sociology
• Sociology of Science and Technology
• Social Dynamics
• +6 more

Gary Bowden is an Associate Professor of Sociology at the University of New Brunswick. He holds a PhD in Sociology from Carleton University and is based in Carleton Hall 134, Fredericton. His research focuses on the dynamics of stability and change in large-scale systems, environmental sociology, and complex adaptive systems theory. He has authored numerous publications in environmental policy, science studies, visual sociology, and disaster sociology. Research interests include the interplay between social and ecological processes, the role of ideology in shaping environmental attitudes, and the application of systems theory to sociological analysis. He has explored topics ranging from climate change discourse to the historical case of Norse Greenlanders' societal collapse. Bowden’s work bridges micro-level attitudes and macro-level systemic changes, with particular attention to technological solutions (e.g., geoengineering) and their societal implications. His recent publications emphasize the social dynamics behind emerging environmental policies and the limitations of human adaptation strategies in the face of ecological challenges. He has collaborated on edited volumes like The Chicago School Diaspora (2014) and contributed to interdisciplinary discussions on media ecology and disaster sociology. His teaching and supervision areas include environmental sociology, science and technology studies, and complex adaptive systems theory.

Funda DurupinarView profile

Associate Professor

• Computer Graphics
• Animation
• Psychology
• +5 more

Funda Durupinar is an Associate Professor in the Department of Computer Science at the University of Massachusetts Boston. Her research bridges computer graphics, animation, and psychology to develop believable virtual humans with nuanced emotional and personality-driven behaviors. Education: B.S. from Middle East Technical University, M.S. and Ph.D. from Bilkent University's Department of Computer Engineering Postdoctoral: Center for Human Modeling and Simulation, University of Pennsylvania Her work focuses on: Multimodal personality expression in virtual agents Nonverbal behavior synthesis for immersive environments Emotion contagion in crowd simulations Integration of psychological models into XR systems Data-driven approaches for realistic avatar animation Ethical considerations in affective computing Recent publications highlight trends in: Personality-embodiment interplay for LLM-based agents Dataset creation for facial expression analysis Motion-driven personality expression frameworks Crowd behavior modeling with affective parameters Leadership Roles: Program Chair for ACM Symposium on Applied Perception (SAP 2025) Organizer of MASSXR workshops at IEEE VR (2023-2025) Editorial Board Member, ACM Transactions on Applied Perception Co-organizer of BostonGFX computer graphics education initiative