جستجوی استاد راهنمای دانشگاهی

Erin Treacy Soloveyمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Human-AI Interaction
• Brain-Computer Interfaces
• +۶ مورد دیگر

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 Otooمشاهده پروفایل

دانشگاهی

• Computer Science Education
• Experiential Learning in STEM
• Human-Computer Interaction
• +۴ مورد دیگر

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 Zhengمشاهده پروفایل

دانشیار

• Data Science
• Machine Learning
• Artificial Intelligence
• +۷ مورد دیگر

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 Kooleمشاهده پروفایل

دانشیار

• Educational Technology
• Mobile Learning
• Distance Education
• +۷ مورد دیگر

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 Correllمشاهده پروفایل

دانشگاهی

• Data Visualization
• Data Ethics
• Human-Computer Interaction (HCI)
• +۳ مورد دیگر

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 Quevedoمشاهده پروفایل

دانشیار

• Virtual Reality (VR)
• Serious Games
• 3DUI (3D User Interfaces)
• +۶ مورد دیگر

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 Vyasمشاهده پروفایل

مدرس ارشد

• Human-Computer Interaction
• Computer-Supported Cooperative Work
• Designing for Underserved Communities
• +۹ مورد دیگر

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 Völkerمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction (HCI)
• Ubiquitous Computing
• Touch Input Systems
• +۵ مورد دیگر

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
• +۳ مورد دیگر

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 Xuمشاهده پروفایل

دانشیار

• Human Factors and Ergonomics Engineering
• Occupational Biomechanics
• Optimization-Based Biomechanical Modeling
• +۳ مورد دیگر

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
• +۳ مورد دیگر

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 Xiaمشاهده پروفایل

استادیار

• Human-AI Interaction
• Data Visualization
• Education Technology
• +۳ مورد دیگر

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.

Louis-Edouard Lafontantمشاهده پروفایل

مدرس

• Software Engineering
• Domain-Specific Languages (DSLs)
• Model-Driven Engineering (MDE)
• +۴ مورد دیگر

Louis-Edouard Lafontant is a Lecturer at the Department of Computer Science and Operations Research (DIRO) at the University of Montreal. His research focuses on model-driven engineering, projectional editing, and software accessibility through tools like Gentleman. He is currently pursuing a Doctorate in Computer Science at UdeM under Prof. Eugène Syriani, where his work explores dynamic environments and interface design. Education: Doctoral candidate in Computer Science (UdeM). Previously involved in teaching roles for courses including IFT1015 (Programming I), IFT2255 (Software Engineering), and IFT3911 (Software Analysis & Design). Offers tutoring services through DIRO's tutoring program and personal consultations. Research Interests: Projectional editing systems, domain-specific languages (DSLs), model-driven engineering (MDE), and software accessibility. His project Gentleman aims to democratize software modeling through a lightweight web-based editor supporting multiple notations and user-specific interfaces. Publications & Projects: Published work includes studies on Gentleman's usability, integration into web applications, and DSL creation. Open-source contributions include the Gentleman editor, Zenkai JavaScript library for DOM manipulation, and educational web resources. Active in labs such as GEODES, focusing on software engineering research.

J. Michael Mooreمشاهده پروفایل

دانشگاهی

• Human-Computer Interaction
• Software Design
• Information Retrieval
• +۶ مورد دیگر

J. Michael Moore is an Instructional Associate Professor in the Department of Computer Science & Engineering at Texas A&M University, part of the College of Engineering. He holds a PhD in Computer Science from Texas A&M (2007) and has extensive teaching experience in courses like Human-Computer Interaction and Accessible Computing. His research focuses on HCI, software design, accessibility, and digital libraries, with notable work on design exploration and document triage systems. Education includes a B.S. in Biochemistry from Texas A&M (1991) and an M.S. in Computer Science from Texas State University (1997). He has authored over 20 peer-reviewed publications and has been recognized with awards such as the 2014 Mentoring Award and the Guseman Award (2002). Moore also contributes to professional service roles, including advising student organizations like DeAF and OSTEM. Teaching: Over 20 years of instruction in programming, HCI, and accessible computing. Research: Specializes in HCI, accessibility, and collaborative design tools. Service: Serves on committees for diversity initiatives and professional networks. His work integrates technical innovation with user-centered design principles, emphasizing accessibility and inclusive computing practices.

• Accessibility in Technology
• Computer Science Education
• Assistive Technologies
• +۳ مورد دیگر

Yasmine Elglaly is an Associate Professor of Computer Science at Western Washington University (WWU). She directs the KIND (Komputing for INclusion and Disability) lab, focusing on human-centered research in accessibility and disability inclusion within technology and education. Her work emphasizes integrating accessibility into core computer science topics, developing pedagogical tools for inclusive education, and advancing assistive technologies for marginalized communities. Research Interests: Her research spans accessibility in computing education, assistive technologies, machine learning fairness, and inclusive design. She collaborates with students on projects addressing challenges faced by autistic individuals in computing, digital accessibility in academia and workplaces, and fostering disability awareness in software engineering. Publications Trends: Her recent articles highlight efforts to embed accessibility across the computer science curriculum, design inclusive communication systems for deaf and hearing users, and create datasets addressing disability discourse. She also explores practical teaching strategies, such as hands-on accessibility training for educators and frameworks for fair machine learning education. Advising & Grants: Yasmine mentors students in the KIND lab, though no specific grant details are provided. Her work has been recognized through collaborations with industry and academic partners, though no named awards are mentioned in the text. Labs/Teams: The KIND lab serves as a hub for interdisciplinary projects, emphasizing experiential learning and real-world impact in accessibility solutions.