Find Academic Supervisors

Jo BriggsView profile

Senior Lecturer

• Human-Computer Interaction (HCI)
• Digital Design
• Participatory Design
• +4 more

Dr Jo Briggs is a Senior Lecturer in User Experience at the School of Digital Arts (SODA), Manchester Metropolitan University. Her interdisciplinary research focuses on human-digital interaction, co-creative methodologies, and participatory design within Human-Computer Interaction (HCI). She holds a MSc in Multimedia Systems from Trinity College Dublin and a collaborative doctoral award from Ulster University, exploring digital cultural literacies in post-conflict Northern Ireland. Briggs has led over a dozen cross-disciplinary projects addressing online privacy, trust, and ethical design, with grants totaling over £1.8 million from EPSRC, ESRC, and AHRC. Education : Doctoral Award, Ulster University (collaborative, AHRC-funded) MSc in Multimedia Systems, Trinity College Dublin Fine Art background with over a decade of professional practice Research Interests : Design for digital trust, participatory governance, privacy-aware systems, and ethical technology . Her work bridges computer science, social sciences, and design, emphasizing user-centered approaches to mitigate online risks through creative methods like data narratives and persona-based tools. Recent projects include addressing cumulative data disclosures and Buy-Now-Pay-Later vulnerabilities. Grant Capture Highlights : EPSRC Cumulative Revelations of Personal Data (£239k, 2019–2022) EPSRC TAPESTRY (£1M+, 2017–2021) ESRC Crowdfunding Taxonomy (£92k, 2014–2015) Labs/Teams : Collaborations include the National Archives, Adobe Research, and universities like Surrey, Newcastle, and Queen’s Belfast. She chairs the Daphne Jackson Trust’s Arts & Social Sciences fellowship panel and advises Oxford and Queen’s MediaLab.

Timothy Robert MerrittView profile

Associate Professor

• Artificial Intelligence
• Human-Robot Interaction
• Human-Centered Computing
• +6 more

Timothy Robert Merritt is an Associate Professor at Aalborg University's Technical Faculty of IT and Design , Department of Computer Science. His research bridges Artificial Intelligence , Human-Robot Interaction , and Human-Centered Computing with a focus on enhancing wellbeing and designing playful, sustainable technologies. His work spans autonomous systems, shape-changing interfaces, and applications of AI in creative practices. PhD in Integrative Sciences and Engineering (2012) from National University of Singapore Research interests include: Generative AI in design and critical reasoning Autonomous Systems (drones, robots) for search and rescue Human-AI Collaboration in multi-robot environments Interactive Systems for education and health Sustainable Technology through digital fabrication and art-science fusion Recent publications address Generative AI in design research, auditory interventions for driver safety, and trust in multi-drone interfaces. He leads and collaborates on projects like NAMUR (Natural-language Assisted Multi-robot Interaction) and HERD (Human-AI Collaboration with Drone Swarms). He organized the Aalborg Robotics Challenge Workshop (2024) and has been featured in media for public demonstrations with celebrities like Will Smith and Rick Astley. His work involves grants such as the ERASMUS+ funding for robotics and sustainability initiatives.

• Virtual Reality
• Human-Computer Interaction
• Mixed Reality
• +1 more

Dr. Chris R Bevan is a Lecturer in the School of Computer Science at the University of Bristol. His research focuses on human-computer interaction, virtual reality, and new media technologies. He is part of the Bristol Interaction Group and has published work exploring presence in VR environments and attentional patterns in immersive media. Dr. Bevan received an ACM/SIGCHI Honorable Mention award in 2019 for his contributions to HCI research. His work examines how psychological factors like suggestibility influence VR experiences and compares interaction efficiency across different display technologies. Current projects investigate industrial applications of mixed reality guidance systems.

Erin Treacy SoloveyView profile

Associate Professor

• Human-Computer Interaction
• Human-AI Interaction
• Brain-Computer Interfaces
• +6 more

Dr. Erin Solovey is an Associate Professor of Computer Science at Worcester Polytechnic Institute (WPI) and a 2024-25 Harvard-Radcliffe Institute Fellow. Her research focuses on Human-Computer Interaction (HCI) and Human-AI Interaction , with expertise in brain-computer interfaces , physiological computing , and accessibility technologies for the Deaf community. She holds affiliations with WPI’s Robotics Engineering , Artificial Intelligence , and Interactive Media & Game Development programs. Education: AB in Computer Science (Harvard, 2001), MS/PhD in Computer Science (Tufts, 2007/2012) Postdoctoral: MIT’s Humans and Automation Lab Her research designs adaptive systems using machine learning to interpret physiological signals (e.g., fNIRS, radar) for applications in education , transportation , and decision-making . Recent work includes ASL-centric survey tools and IndexPen (radar-based text input). She leads the Human-Computer Interaction Lab and directs NSF-funded Research Experiences for Teachers (RET) programs focused on the UN Sustainable Development Goals. Dr. Solovey serves as Deputy Editor of the International Journal of Human-Computer Studies (2019-2024) and Associate Editor for ACM Transactions on Computer-Human Interaction (TOCHI). She has received tenure and promotion (2022), multiple NSF grants , and best paper honors at CHI, TOCHI, and IEEE conferences.

Stella OtooView profile

Academic

• Computer Science Education
• Experiential Learning in STEM
• Human-Computer Interaction
• +4 more

Stella Otoo is an Assistant Teaching Professor in the Department of Computer Science at Michigan Technological University's College of Computing. She holds expertise in Computer Science Education, Experiential Learning in STEM, Human-Computer Interaction, Programming Languages, and User Interface Design. Her work focuses on innovative educational strategies such as inquiry-based learning and makerspace experiences for middle school students. Otoo's research addresses challenges in technology integration across diverse educational contexts, including pandemic response strategies and accessibility for visually impaired users. Education Background: Not explicitly stated in provided text Professional Affiliations: Michigan Technological University (since appointment date unknown) Her research interests emphasize bridging theory and practice through experiential learning frameworks, with notable contributions to STEM outreach programs and alternative energy education curricula. Otoo has explored the role of critical theory in global learning technology implementation and developed online science education models. Grants & Awards: No awards explicitly mentioned Her advising and grants activities remain undocumented in the provided materials. Otoo collaborates with institutions like the New Mexico Connected Communities Collaborative and maintains an active presence in Michigan Tech's Computer Science department.

Yong ZhengView profile

Associate Professor

• Data Science
• Machine Learning
• Artificial Intelligence
• +7 more

Dr. Yong Zheng is an Associate Professor and tenured faculty member in the Department of Information Technology and Management (ITM) at the College of Computing, Illinois Institute of Technology. He holds a Ph.D. in Computer and Information Sciences from DePaul University. His research focuses on Data Science, AI, Recommender Systems, and Human-Centric Computing. He directs the Center for Decision Making and Optimization (DMO) and co-directs the ITM PhD program. Dr. Zheng’s academic roles include service as General Chair for ACM HT 2025, Track Co-Chair for multiple conferences, and editorial roles at journals like Education and Information Technologies (EAIT) and Frontiers in Big Data. He has received awards such as the Springer Nature Editorial Contribution Award (2025) and NSF grants for conference participation and research. His research spans multi-objective optimization in finance, context-aware recommendations, educational technologies, and FinTech. He has developed open-source libraries like CARSKit, DeepCARSKit, and MOPO-LSI. His work has been published in top venues including ACM RecSys, IUI, and SIGIR. Dr. Zheng teaches courses in Data Science, AI, and Applied Data Analytics. He advises numerous PhD and master’s students, focusing on topics like multi-criteria recommendations and financial systems. His industry collaborations include roles at Pandora Media and Morningstar, Inc.

Marguerite KooleView profile

Associate Professor

• Educational Technology
• Mobile Learning
• Distance Education
• +7 more

Marguerite Koole is an Associate Professor in Educational Technology & Design at the University of Saskatchewan’s College of Education. Her work focuses on mobile learning, makerspaces, and decolonizing educational technology. She holds a PhD in E-Research and Technology-Enhanced Learning from Lancaster University (2013) and an M.Ed. in Distance Education from Athabasca University (2006). Her research emphasizes Indigenous language revitalization, socio-materialism, and post-humanist philosophy. Education: Ph.D., E-Research and Technology-Enhanced Learning, Lancaster University (2013) M.Ed., Distance Education, Athabasca University (2006) Diploma, Multimedia Production, Lethbridge Community College (1999) B.A., Modern Languages, University of Lethbridge (1990) Research Interests: Koole’s work bridges language education, technology design, and equity. Key areas include mobile-assisted language learning (MALL), Indigenous language preservation through digital tools, and critical analysis of EdTech’s colonial underpinnings. She co-leads projects like the nisotak mobile app for Indigenous language learning. Grants & Community Contributions: Lead on CIRA-funded NISOTAK project for Indigenous language apps ($100k+) Mitacs-supported Indigenous language resource database Founder of the Educational Technology Critique (ETC) Studio for pre-service teachers Teaching: Courses include ECUR 990 (Curriculum Research), ETAD 803 (Multimedia Design), and graduate seminars on instructional design. She has supervised over 20 PhD and master’s students focusing on topics like language revitalization, AI ethics, and equity in EdTech.

Michael CorrellView profile

Academic

• Data Visualization
• Data Ethics
• Human-Computer Interaction (HCI)
• +3 more

Michael Correll is a Research Associate Professor at the Roux Institute, with an appointment at Khoury College of Computer Sciences, Northeastern University. His work spans data visualization, data ethics, and human-computer interaction (HCI), focusing on ethical and responsible data communication. Correll's research addresses deceptive visualization practices, uncertainty visualization, and user trust in data. His recent work examines visualization literacy, decision-making under uncertainty, and the historical evolution of data cultures in anatomical illustration. Key Themes : Ethical visualization, uncertainty communication, user-centered design, dashboard analysis Recent Trends : Studies on cognitive biases, mirages in visualizations, collaborative design heuristics He has published extensively on visualization ethics and evaluation, with a focus on empirical studies and theoretical frameworks. His career includes roles at Tableau and the University of Washington's Interactive Data Lab.

Alvaro Joffre Uribe QuevedoView profile

Associate Professor

• Virtual Reality (VR)
• Serious Games
• 3DUI (3D User Interfaces)
• +6 more

Alvaro Joffre Uribe Quevedo is an Associate Professor in the Game Development and Interactive Media department at the Faculty of Business and Information Technology, Ontario Tech University. He holds a PhD in Mechanical Engineering from the Universidade Estadual de Campinas (Brazil) and has conducted postdoctoral research at the University of Waterloo's Games Institute. His work focuses on Virtual Reality (VR), serious games, and 3DUI, emphasizing medical applications like surgical training simulations and exer games for healthcare. Education: Postdoctoral Fellow, University of Waterloo (2016) PhD in Mechanical Engineering, Universidade Estadual de Campinas (2011) MSc in Mechanical Engineering, Universidade Estadual de Campinas (2008) Bachelor's in Mechatronics Engineering, Universidad Militar Nueva Granada (Colombia, 2003) Research Interests: Dr. Quevedo's research explores immersive technologies' role in healthcare, including VR for physiotherapy, surgical training, and dementia care. He investigates how serious games and 3DUI design enhance engagement and skill retention, particularly in medical contexts. Recent work includes VR simulations for cardiac auscultation, epidural insertion, and radiation visualization in nuclear engineering. Articles Trends: His publications emphasize VR's applications in medical education (e.g., surgical simulations), exergames for elderly populations, and neurophysiological studies of immersion. Recent studies focus on haptic feedback, EEG-based biomarkers, and UI design for surgical training. Grants & Collaborations: Recipient of grants from Universidad Militar Nueva Granada (Colombia) for VR medical projects. Collaborations include interdisciplinary teams in healthcare, robotics, and nuclear engineering. Labs & Teams: Member of the Software and Informatics Research Centre (SIRC) at Ontario Tech University, focusing on VR, exergames, and medical simulations.

Dhaval VyasView profile

Senior Lecturer

• Human-Computer Interaction
• Computer-Supported Cooperative Work
• Designing for Underserved Communities
• +9 more

Dhaval Vyas is a Senior Lecturer in Computer Science at the School of Electrical Engineering and Computer Science, University of Queensland, Australia. He leads the Compassion Lab research group and is a former ARC DECRA Fellow (2018-2022). His educational background includes a PhD in Human-Computer Interaction from University of Twente (Netherlands), a Master's degree in Computer Science from Lancaster University (UK), and an undergraduate degree in Computer Science from Gujarat University (India). Dr. Vyas's research focuses on designing technology solutions for underserved communities. His work spans Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work (CSCW), with specific emphasis on supporting health and wellbeing in low socioeconomic status communities, refugees and asylum seekers, women in crisis situations, rural communities in developing countries, and older adults. He has developed innovative approaches to democratizing making practices through e-waste recycling and has created applications for men's sheds to coordinate activities. His recent publications demonstrate a consistent focus on refugee integration, making practices in underserved communities, health technology for older adults, and sustainable design. His work often combines ethnographic approaches with participatory design methods to develop technology solutions that genuinely address community needs. Scientific Awards: ARC DECRA Fellow (2018-2022) Dr. Vyas actively supervises PhD and Master's students, with current projects focusing on designing technologies for humanitarian entrants, refugee entrepreneurial pathways, smart homes for people with disabilities, and inclusive AI design for developing countries. His research has generated significant media interest, particularly around e-waste recycling initiatives and smart home technologies for assisted living. The Compassion Lab, which he leads, maintains a strong user-centric focus, studying issues at the grassroots level and involving community members directly in the design and development of technological solutions.

Simon VölkerView profile

Researcher

• Human-Computer Interaction (HCI)
• Ubiquitous Computing
• Touch Input Systems
• +5 more

Dr. Simon Völker is the Head of the Study Center Computer Science at RWTH Aachen University and an Affiliated Researcher at the Media Computing Group. He holds a Ph.D. (2016) and a Diploma (2010) in Computer Science from RWTH Aachen University. His research focuses on Human-Computer Interaction (HCI), including ubiquitous computing, touch input systems, interactive surfaces, and tangible user interfaces. He has coordinated roles in university governance, including leading the Examination Board for Computer Science and teaching courses like the Game Development Lab and Introduction to Computer Science. His work spans over 50 publications in top venues like CHI, UIST, and SUI, with notable awards such as the CHI 2018 Honorable Mention and ITS 2011 Best Note Award. He advises students on bachelor/master theses in HCI and contributes to innovations in AR, wearable interfaces, and educational tools like Flowboard. Key projects include GazeConduits (cross-device collaboration), Springlets (on-skin tactile interfaces), and FabricFaces (textile-3D hybrid fabrication). His work bridges academic research with practical applications in education, robotics, and manufacturing.

• Participatory Design
• Assistive Technology
• Human-Computer Interaction
• +3 more

Heidi Bråthen is a Doctoral Research Fellow at the Department of Informatics, University of Oslo, within the Faculty of Mathematics and Natural Sciences. Her research focuses on participatory design methodologies, particularly involving older adults, and explores the role of materials and physical prototyping in creating accessible assistive technologies. She holds a dual affiliation as both a doctoral researcher and a student within the same faculty. Her work emphasizes user-centered approaches to technology design, aiming to bridge gaps between users' past experiences and modern technological interfaces. This includes studies on tangible interactions and contextual design strategies to enhance elderly users' engagement with assistive systems. Publications highlight contributions to participatory design practices, material-based design, and technology for aging populations. Research projects often involve collaborations with interdisciplinary teams, focusing on practical applications of design theories. No scientific awards are explicitly listed, though her publications indicate active involvement in academic discourse. Her advising and grant activities remain unspecified in the provided materials. She is part of the Design of Information Systems research group within the Department of Informatics.

Xu XuView profile

Associate Professor

• Human Factors and Ergonomics Engineering
• Occupational Biomechanics
• Optimization-Based Biomechanical Modeling
• +3 more

Xu Xu is an Associate Professor at North Carolina State University's Department of Industrial and Systems Engineering, within the College of Engineering. His research focuses on human motion data analysis, theoretical biomechanical modeling, and occupational safety promotion. He has secured funding from NSF, NIOSH, and NC State's seed programs, publishing over 80 journal articles and conference papers. Education: Ph.D. in Industrial Engineering, NC State University (2008) MS in Industrial Engineering, NC State University (2006) Bachelor's in Industrial Engineering, Tsinghua University (2004) Research interests include human factors engineering, occupational biomechanics, data mining of human motion, and injury prevention. His work bridges biomechanical modeling and real-world applications in safety-critical industries. Key scientific achievements include the C. A. Anderson Outstanding Faculty Award and Goodnight Early Career Innovator Award. His lab, the Biomechanics Lab, explores human-robot collaboration dynamics, ergonomic design, and workplace safety innovations. Teaching responsibilities include courses like Fundamentals of Human-Machine Systems Design (ISE352) and Advanced Biomechanical Modeling (ISE794). He advises students such as Ziyang Xie, whose work on collision avoidance earned a CES Innovation Award.

• Learning Analytics
• Computer-Supported Collaborative Learning
• Educational Technology
• +3 more

Pathinarage Ishari Uthpala is a Researcher at Universitat Pompeu Fabra (UPF), collaborating with the TIDE Research Group on Interactive and Distributed Technologies for Education. She holds a Ph.D. in Information and Communication Technologies (2020, UPF) with a thesis focusing on learning analytics and collaborative learning orchestration. She also completed M.Sc. (Intelligent Interactive Systems, 2016, UPF) and B.Sc. (First Class, 2013, University of Colombo School of Computing) degrees. Her research emphasizes applying learning analytics to enhance collaborative learning environments, bridging classroom and distance education contexts. She has conducted interdisciplinary research and teaching, with experiences at Radboud University, University of Duisburg-Essen, and EPFL. Key contributions include qualitative methods in learning analytics and script design for collaborative learning. Guest lecture: 'Qualitative Methods in Learning Analytics' at MIT EdTech Studio (2020) Research talk: 'Collaborative Learning Scripts and Learning Analytics' at SLIIT HCI Research Group (2020) Awards: Recognized for academic excellence with a Gold Medal for undergraduate research (2013) and scholarships to attend GHC and womENcourage (2017).

Meng XiaView profile

Assistant Professor

• Human-AI Interaction
• Data Visualization
• Education Technology
• +3 more

Meng Xia is an Assistant Professor in the Department of Computer Science & Engineering at Texas A&M University, leading the Dream Lab. Her research focuses on Human-AI Interaction, Data Visualization, and Education Technology, with a particular emphasis on creating adaptive learning systems using visual analytics, AR/VR, and NLP. She holds a PhD from the Hong Kong University of Science and Technology and has held postdoctoral positions at CMU and KAIST. Education: PhD in Computer Science & Engineering, HKUST (2020) M.S. in Computer Science & Technology, Zhejiang University (2017) B.S. in Computer Science, Hangzhou Dianzi University (2013) Her research explores designing human-centered systems to enhance personalized learning, including tools for educators, visual analytics for learning behaviors, and immersive technologies like AR/VR. Recent projects include developing conversational tutoring systems (e.g., Ruffle&Riley), visual analytics for student-ChatGPT interactions (StuGPTViz), and AR-based educational tools like Vistellar. Awards include the Best Paper Award at CHI 2022 and an Honorable Mention at IEEE VIS 2022. She serves as a Program Chair for Learning@Scale 2024 and a Youth Editor for Visual Informatics . Teaching includes courses on Data Visualization and Human-AI Interaction at Texas A&M. Her lab actively recruits students in HCI, visualization, and education technology.