Find Academic Supervisors

Sandra OkitaView profile

Associate Professor

• Educational Technology
• Human-Robot Interaction
• Virtual Reality for Learning
• +3 more

Sandra Okita is an Associate Professor at Teachers College, Columbia University , where she serves as Program Director in the Communication, Media, and Learning Technologies Design program within the Department of Mathematics, Science and Technology . She holds dual PhDs from Stanford University (Learning Sciences) and Keio University (Human-Computer Interaction). Research Focus : Developing pedagogical agents and virtual environments that enhance learning through social interaction Designing sociable robots as peer learners to study cognition and collaborative learning Exploring virtual reality and mixed reality for science education Theoretical work on self-other monitoring , learning by teaching , and recursive feedback Publication Trends : 15+ publications (2004-2022) on robotics in education, virtual learning environments, and social learning theories Key areas: Human-Robot Interaction , STEM Education , Metacognition , and Technology-Enhanced Learning Notable works: Learning by Teaching , Recursive Feedback Mechanisms , and Therapeutic Robots Awards & Grants : 15+ research grants (2001-2026) from NSF , Google VR Research Program , and Honda Research Institute Recipient of Dean's Faculty Diversity Research Award (2011-2012) 2008 Best Paper Award at International Conference of the Learning Sciences

Dominik MoritzView profile

Assistant Professor

• Human-Centered Machine Learning
• Data Science
• Interactive Systems
• +6 more

Dominik Moritz is an Assistant Professor at the Human-Computer Interaction Institute (HCII) of Carnegie Mellon University and Machine Learning researcher at Apple. He leads the Data Interaction Group and develops systems for interactive data visualization. Ph.D. in Computer Science from University of Washington (2019) B.S. in Computer Science from Hasso Plattner Institute (2013) His research focuses on: Human-Centered Machine Learning Data Visualization Toolkits Interactive Systems Design Accessibility in Visual Analytics Scalable Web-Based Visualization Recent publications address visualization design knowledge formalization (Draco), cross-filtering frameworks (Mosaic), and accessibility evaluation (Chartability). He has received Best Paper Honors at VIS and EuroVis conferences. Professional Collaborations: Co-founder of Vega-Lite visualization grammar Collaborations with Jeff Heer, Bill Howe, Jock MacKinlay Projects with Microsoft Research and Google Research

• Surgical Computing
• Simulation Science
• Virtual and Mixed Reality in Medicine
• +6 more

Professor Fernando Bello holds the position of Professor of Surgical Computing and Simulation Science at Imperial College London's Department of Surgery and Cancer (Faculty of Medicine). He leads the Centre for Engagement and Simulation Science and directs the SiMMS research group, focusing on medical simulation and modeling. His career includes a PhD from Imperial College (1996), postdoctoral work at Guy's Hospital and the University of Kent, and roles as Lecturer in Electronic Engineering before rejoining Imperial in 2000. Education: PhD in Biomedical Systems, Imperial College London (1996) Postdoctoral Research Fellow at Guy's Hospital (1996-1998) Lecturer in Electronic Engineering at University of Kent (1998) Research Interests: Bello’s work bridges medicine, education, and technology. Key areas include virtual/mixed reality in surgical training, haptic feedback systems for medical simulations, and patient-specific surgical modeling. He pioneers innovations like robotic clinical examination tools and AI-driven surgical training platforms. His research emphasizes improving clinical education through immersive technologies and enhancing patient engagement via 3D imaging and VR. Publications Trends: Recent work focuses on surgical simulation validation (e.g., fracture models, anorectal exam tools), haptic interfaces for prosthetics and teleoperation, and VR applications in patient care. His articles highlight cross-disciplinary collaboration between engineering, computer science, and medicine. Affiliations & Leadership: Academic Co-director of Imperial’s MSc in Surgical Innovation, and collaborator with the Robotics Forum and Artificial Intelligence Network. He actively develops simulation-based training programs globally. Labs & Teams: Directs the SiMMS group, which specializes in modeling clinical processes and developing advanced simulators for surgical training. His team also explores distributed simulation for healthcare system optimization.

• Human-Computer Interaction
• Artificial Intelligence
• Creativity Support Tools
• +3 more

Joel Chan is an Affiliate Assistant Professor in the Department of Computer Science at the University of Maryland, specializing in human-computer interaction and artificial intelligence research with applications in scholarly communication and design innovation. His work bridges computational systems and human cognitive processes to enhance knowledge work. His research portfolio emphasizes: Scholarly sensemaking and knowledge synthesis infrastructure Generative AI for hypothesis exploration and analogical reasoning Cross-disciplinary translation tools using computational linguistics Biologically inspired design systems and creativity support Human-AI collaboration in visual data analysis and programming Recent publications (2023-2025) demonstrate a decisive shift toward integrating large language models into scholarly workflows, particularly for structured hypothesis exploration and cross-domain analogical inspiration. His systems like CausalMapper and AnalogiLead exemplify practical implementations that transform theoretical frameworks into usable tools for researchers and designers. Building on foundational work in analogical innovation (2010-2022), Chan's research trajectory shows consistent evolution from studying example-based problem-solving to developing AI-augmented environments that mitigate cognitive limitations in complex knowledge tasks, with significant implications for academic practice and creative industries.

• Adaptive Systems
• Human-Computer Interaction (HCI)
• User Modelling
• +3 more

Dr Craig Stewart is an Associate Professor in the Department of Computer Science at Durham University and serves as MDS Director in the Faculty of Science. He holds a doctoral degree from the University of Nottingham (2012), focusing on adaptive multimedia interfaces in eLearning. His research explores adaptive systems, human-computer interaction (HCI), user modeling, personalized learning, and cultural dimensions in education. Stewart has contributed to frameworks like CAE-L and WHURLE, emphasizing cross-cultural adaptation and ethical implications of personalization technologies. He has advised postgraduate student Arwa Al Saqaabi and collaborated with institutions like FutureLearn on MOOC dropout prediction studies. His work integrates interdisciplinary approaches, combining engineering, arts, and programming to enhance STEAM education. He also explores immersive virtual reality's impact on learning through mixed-methods studies. Education Track: Completed his PhD in 2012 at the University of Nottingham. Prior research includes studies at the University of Nottingham and other institutions, reflecting his long-standing engagement in adaptive learning systems development. Research Interests: Stewart's work addresses cultural barriers in online education, adaptive hypermedia systems, and gamification strategies. He has investigated internationalization of learning resources, authoring tools for personalized courseware, and the role of learning styles in system design. His recent projects include analyzing MOOC engagement patterns and developing taxonomies for measurable learner outcomes. Advising & Grants: Supervised postgraduate student Arwa Al Saqaabi. His research has been supported through collaborations with academic and corporate partners in fields like ontology development and workplace learning solutions. Grants and funding details are not explicitly listed in the provided texts. Labs/Teams: While specific lab affiliations are not mentioned, his work is closely tied to Durham University's Computer Science department and the MDS initiative within the Faculty of Science. He collaborates with interdisciplinary teams on projects combining technology, culture, and education.

• Group Decision Support Systems
• Impression Management
• Multilingual Communication Technology
• +3 more

Dr. Jamison H. Posey is a Clinical Assistant Professor of Marketing, Analytics, and Professional Sales at the University of Mississippi's School of Business Administration. He holds degrees from the same institution: B.B.A. (1998), M.B.A. (2003), and Ph.D. (2007). His expertise spans group decision support systems, impression management in IS development, and technology's role in trust-building within outsourcing projects. Education: B.B.A. Business Administration, University of Mississippi (1998) M.B.A. Business Administration, University of Mississippi (2003) Ph.D. Business Administration, University of Mississippi (2007) Research focuses on multilingual communication technologies, chatbot evaluation, and machine translation. His work explores how AI systems facilitate cross-cultural collaboration and improve user experience in global contexts. Recent studies address chatbot performance metrics and neural network-based comprehension predictions. Publications highlight themes like multilingual electronic meetings, trust in outsourced IT projects, and personalized search engines. While no scientific awards are explicitly noted, his contributions to AI applications and collaboration systems demonstrate significant academic impact. Advising and grants sections remain underdeveloped in available records. He is associated with the Marketing B.B.A. program and teaches courses on business software integration and technology-synergy in value chains. Office location: 1918 Briar Ridge Road, Tupelo campus.

Mary Elizabeth KurzView profile

Associate Professor

• Scheduling
• Metaheuristics
• Industrial Engineering
• +5 more

Mary Elizabeth Kurz is an Associate Professor in the Department of Industrial Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. Her research focuses on scheduling optimization, metaheuristics, and assembly line balancing for complex manufacturing systems. Education: B.S., Systems Engineering, University of Arizona (1995) M.S., Systems Engineering, University of Arizona (1997) Ph.D., Systems and Industrial Engineering, University of Arizona (2001) Research interests include: Development of heuristics and metaheuristics for scheduling Assembly line balancing with ergonomic constraints Flexible flowline scheduling with sequence-dependent setups Application of genetic algorithms and particle swarm optimization Recent work trends show applications in opioid crisis modeling, photolithography scheduling, and automotive configuration management. She has presented at INFORMS and IISE conferences, with special emphasis on multi-objective optimization and real-world industrial constraints. Scientific awards: Third Place Best Paper, ASME Manufacturing Engineering Division (2014) As an INFORMS member and Institute of Industrial Engineers Senior member, she has taught courses in operations research, decision support systems, and metaheuristics. Her work spans both theoretical and applied domains, with a strong focus on manufacturing system efficiency.

• Human-Computer Interaction
• Usability Engineering
• User Experience
• +7 more

Rosa Lanzilotti is a Full Professor in the Department of Computer Science at the University of Bari Aldo Moro, Italy, where she has established herself as a leading researcher in Human-Computer Interaction (HCI) and Usability Engineering. As a core member of the IVU (Interaction Visualization Usability and UX) Laboratory, she coordinates research on Usability Engineering and UX practices, and Human-Centered Artificial Intelligence. With over 90 publications in top-tier journals and conferences, her work bridges academic research with practical applications in industry and public institutions. Dr. Lanzilotti earned her PhD in Computer Science from the University of Bari in May 2006. Her doctoral research developed the ELSE (e-Learning Systematic Evaluation) methodology, which combines inspection and usability testing to achieve more reliable results for evaluating e-learning systems. She also pioneered Pattern-Based inspection techniques that guide evaluators through detailed evaluation patterns. Her research spans multiple domains including educational technology, cultural heritage, healthcare, and smart environments. She has designed and evaluated numerous educational games for mobile devices and large multi-touch displays, resulting in a patent (n. 1401512, 2013) for a multimedia framework supporting site visits. Her work in End-User Development (EUD) explores how non-technical users can customize systems in healthcare and cultural heritage contexts through participatory design with domain experts. Recent publications (2019-2024) show increasing focus on integrating AI with human-centered design, privacy considerations in UX, and cybersecurity applications of HCI principles, particularly for public administration systems. As an active member of the Italian Working Group on Usability (GLU), she works to improve public administration websites and advocate for explicit usability requirements in ICT procurement. Her conference service includes Technical Program Co-Chair for INTERACT 2021 and various leadership roles in AVI, IEEE SMC, and womENcourage conferences. She teaches courses including 'Interacting with Intelligent Systems' (Master's level), 'Human-Computer Interaction for AI' (PhD level), and various undergraduate courses on Human-Machine Interaction at the University of Bari.

Lauren ThorsonView profile

Associate Professor

• Graphic Design
• Computer Graphics
• Design Education
• +3 more

Lauren Thorson is an Associate Professor and Chair of the Department of Graphic Design at Virginia Commonwealth University’s School of the Arts. Her work bridges design education, studio practice, and collaborative research. She holds a Ph.D. from the University of Minnesota, where she researched at the Interactive Visualization Lab, and an M.F.A. in Visual Studies from the Minneapolis College of Art & Design, along with dual B.A./B.F.A. degrees from the University of Iowa. Her research focuses on computational design, information architecture, and the intersection of art and science. Notable projects include XY pen plotter experiments exploring computer graphics’ origins and collaborations with the IEEE VIS Arts Program (VISAP). She co-founded Studio-Set with Jasio Stefanski and organizes the Seoul Series Workshops, fostering design collaboration in Seoul, South Korea. Thorson’s publications and exhibitions address motion visualization, virtual reality applications for ancient rhetoric, and mixed-method evaluations of scientific visualizations. Her work has been featured at IEEE VIS and in peer-reviewed journals. She actively promotes interdisciplinary design through teaching and curatorial initiatives.

Edward BrownView profile

Associate Professor

• Human-Computer Interaction
• Hypertext
• Scientific Visualization
• +3 more

Dr. Edward Brown is an Associate Professor in the Department of Computer Science at Memorial University of Newfoundland, part of the Faculty of Science. His research focuses on human-computer interaction, hypertext systems, scientific visualization, and legal aspects of technology. He holds degrees from Memorial University (B.Sc.), the University of Toronto (M.Sc., Ph.D.), and the University of Victoria (LL.B.). His current research includes augmented reality applications for marine navigation, multimedia teaching strategies for K-12 education, and the design of user interface agents. Notable projects involve developing hypermedia tools for educational environments and studying complexity in finite-domain problems using genetic algorithms. Dr. Brown also practices technology law and has expertise in intellectual property issues. Teaching responsibilities include courses such as CS2760 (Encountering the Computer) and CS3718 (Programming in the Small). His work bridges computer science with pedagogical innovation and legal implications of emerging technologies.

Cain EvansView profile

Teaching Professor

• Software Engineering
• Cyber Security
• Artificial Intelligence
• +5 more

Dr. Cain Evans is a Teaching Professor at Aston University, serving as co-Programme Director for the MSc DTSS Degree Apprenticeship within the College of Engineering and Physical Sciences. He holds a prominent role in leading degree apprenticeship programs and has over 24 years of teaching experience across the UK and Far East, specializing in Computer Science, Software Engineering, and pedagogical research. His research focuses on intelligent systems, context-aware technologies, digital health (smart-care spaces), and AI-driven applications. He has served as an external examiner at multiple UK universities and has held senior academic roles at institutions like Birmingham City University and Northumbria University. His professional affiliations include Fellow of the Higher Education Academy (FHEA), STEM Ambassador, and memberships in BCS and IEEE. Research Interests: Dr. Evans' work spans interdisciplinary areas including software engineering, cyber security, AI (data science/mining), and pedagogy. Recent trends in his publications highlight advancements in smart care systems (e.g., pervasive sensing for at-home care), algorithmic trading models using neural networks, and mobile advertising frameworks like iMAS. His contributions also address challenges in e-education and future iCampus developments. Awards : Birmingham and Solihull STEM Ambassadors Award (2010) 15th Anniversary Outstanding Reviewer Awards (2016) Nominated for Engaging & Inspiring Teacher of the Year (2017) Advising & Grants : Supervisor for MSc Data Science and DTSS Professional projects Past roles include Programme Director for BSc DTS Professional and external examiner at Bradford, Brighton, and University of Wales Labs/Teams : Active in interdisciplinary collaborations, particularly in smart-care and AI applications, though no specific lab names are mentioned.

Surendra N. SinghView profile

Professor

• Advertising
• Consumer Behavior
• Digital Marketing
• +5 more

Surendra N. Singh serves as the AT&T Foundation Professor in the Department of Marketing and Business Law at the School of Business, University of Kansas. His academic career spans over three decades with research focusing on advertising effectiveness, consumer cognition, and digital marketing interfaces. His educational background includes: Ph.D. in Business from the University of Wisconsin, Madison M.S. in Marketing from the University of Wisconsin, Madison B.S. from Benaras Hindu University, India Singh's research investigates how exposure, emotional states, and design elements influence consumer responses. Key areas include mere exposure effects in advertising, multimedia ad effectiveness, program-induced emotion impacts on memory, bilingual advertising, web usability, and employee affective displays in service settings. His work bridges psychological theory with practical marketing applications, particularly in digital environments. Analysis of his publication history reveals consistent contributions to top-tier journals like the Journal of Marketing and Journal of Marketing Research. Recent work (2024-2019) examines online rating systems, payment method psychology in charitable giving, and emotional color effects in advertising. Earlier research (2017-1996) established foundational insights into web perception, accent bias in service encounters, and memory mechanisms in advertising. His scholarship demonstrates sustained focus on consumer cognition across traditional and digital marketing contexts.

Carlos CardonhaView profile

Assistant Professor

• Discrete optimization
• Mixed-integer linear programming
• Combinatorial optimization
• +6 more

Carlos Cardonha is an Assistant Professor in the Department of Operations and Information Management at the University of Connecticut School of Business since 2019. He holds a Ph.D. in Mathematics from Technische Universität Berlin (2011) and degrees in Computer Science from the University of São Paulo (B.Sc. 2004, M.Sc. 2006). Previously, he worked as a Research Staff Member at IBM Research – Brazil (2012–2019). His research focuses on discrete optimization, approximation algorithms, and applications of machine learning and mathematical programming to operations research problems. He teaches courses such as OPIM 5641 (Business Decision Modeling) and OPIM 3511 (Business Data Analytics II), supported by DataCamp. Education: Ph.D. in Mathematics, Technische Universität Berlin, Germany (2011) M.Sc. in Computer Science, University of São Paulo, Brazil (2006) Bachelor in Computer Science, University of São Paulo, Brazil (2004) Research Interests: His work spans analytics, optimization, and theoretical computer science, with a focus on mixed-integer linear programming, combinatorial optimization, and algorithm design. He applies these techniques to real-world problems in scheduling, resource allocation, and machine learning model optimization. Grants & Advising: No specific grants or advisees are listed in the provided materials. Labs/Teams: Not explicitly mentioned in the text.

James JordanView profile

Professor

• Holocaust Studies
• Media Studies
• Film and Television Studies
• +5 more

Professor James Jordan is a faculty member at the University of Southampton, serving as Head of the Department of English and co-editor of Holocaust Studies . He holds affiliations with the Parkes Institute for Jewish/non-Jewish Relations and the Centre for Modern and Contemporary Writing. His research focuses on Holocaust representation in media, post-war British media, and cultural studies. He earned his PhD in 2014 with a study on Holocaust narratives in American film and has held roles including the Ian Karten Fellow and Karten Professor in Jewish/non-Jewish Relations. Education: B.A. English and History (University of Southampton), M.A. Jewish History and Culture, PhD in Film Studies. Current projects include analyzing BBC's Holocaust coverage and exploring location-based narratives via the Leverhulme Trust-funded Story Places initiative. Awards include the Ian Karten Fellowship (2005-06). Teaching spans English, Film, and History, emphasizing Holocaust studies, media historiography, and cultural representation. He supervises PhD students in English and History and advises on grants such as the British Academy-funded Legacies of the Jewish Other in Slavic Horror Film . Grants: British Academy, Leverhulme Trust, Rothschild Foundation Labs/Teams: Parkes Institute, Centre for Modern and Contemporary Writing

Nitin AggarwalView profile

Professor

• Technology Standardization
• Intellectual Property Issues
• Economics of Standards
• +3 more

Nitin Aggarwal is a Professor in the School of Information Systems and Technology at the Lucas College and Graduate School of Business, San José State University. He holds a Ph.D. in Business Administration (MIS) from Texas Tech University, an MBA in Marketing, and an undergraduate degree in Physics from Delhi, India. His research focuses on technology standardization, intellectual property governance, and transaction cost analysis in technology development. He teaches courses in networking, data communications, and business systems policy. Education: Ph.D., Business Administration (MIS), Texas Tech University, 2007 MBA, Marketing, [Institution Not Specified] Bachelor of Science, Physics, Delhi, India Research interests include the economics of technology standards, IP bundle theory, and the impact of coalition size on standard-setting initiatives. His work explores how governance structures influence innovation and market outcomes in IT sectors. Recent studies address IoT adoption barriers, AI in education, and MOOC subscription behaviors. Teaching responsibilities include multiple sections of Networking and Data Communications (BUS4 111), Introduction to Business Programming (BUS4 092), and Business Systems and Policy (BUS4 188), with courses offered across semesters from 2018 to present. Office hours are maintained for student consultations.