Software Design for Interactive Experiences Professors and Supervisors | ApplySharif

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Debra DavisView profile

Academic

Florida International UniversityUnited States

Debra Davis is an Associate Teaching Professor at Florida International University , affiliated with the School of Computing and Information Sciences (2010–present) and serving as an Adjunct Faculty Member in the Department of Psychology (2010–present). She holds a Ph.D. in Cognitive Developmental Psychology (2004) and advanced degrees in Computer Science (2000) and Psychology (1996), with a minor in Statistics. Education : Ph.D., Cognitive Developmental Psychology (minor: Statistics), University of Texas at Austin (2004) M.S., Computer Science, Florida International University (2000) M.A., Developmental Psychology (minor: Statistics), University of Texas at Austin (1996) B.A., Psychology (minor: Computer Science), Florida International University (1993) Her research spans Human-Computer Interaction , Applied Usability Studies , and geospatial data systems, with expertise in real-time data integration, 3D visualization, and educational technology. She has contributed to spatial data platforms like Terrafly and advised on usability for grants and projects. Recent publications (1998–2001) focus on geospatial data systems, real-time search algorithms, and 3D satellite imagery. Awards include multiple Phi Kappa Phi Honor Society nominations, a research grant at UT Austin, and Dean’s List recognition. Professional Roles : Faculty Associate, NSF Industry-University Cooperative Research Center (2010–present) Principal Investigator, All Stars Effectiveness Research Project (2007–2008) Program Evaluator, Read 2 Succeed 21st Century Grant (2009–2010) Consultant, Collins Center of Public Policy (2008) Grant Reviewer for Miami-Dade County, Early Learning Coalition, and CASA (2005–2009)

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Rosa LanzilottiView profile

Professor

University of BariItaly

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.

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Edward BrownView profile

Associate Professor

Memorial University of NewfoundlandCanada

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.

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Peter BergströmView profile

Associate Professor

Umea UniversitySweden

Peter Bergström is an Associate Professor at the Department of Education, Umeå University, where he serves as Director of Studies. He holds the distinguished academic title of Distinguished University Teacher , recognizing his excellence in pedagogy. Bergström coordinates the NNILE research group and leads significant projects including Bringing research into practice: developing teachers’ transformative agency (2025-2027) and Towards a student-centered learning in innovative learning environments (2023-2026). His research explores transformative intersections of technology and pedagogy, with emphases on: Educational technology integration in one-to-one computing classrooms Power dynamics in teacher-student relationships Design of active learning spaces and innovative environments Sociomaterial perspectives on teaching practices Digital didactical designs for student-centered approaches Bergström's recent publications predominantly investigate pedagogical transformations in technology-enhanced classrooms, with recurring themes of teacher authority, spatial design impacts on learning, and the implementation challenges of digital tools in Swedish and Finnish educational contexts. His work employs mixed-methods approaches across 15+ empirical studies. Scientific Recognition: Distinguished University Teacher Award Research Leadership: Principal investigator for two multi-year projects on teacher agency and learning environments Coordinates the NNILE research group focusing on innovative pedagogies His work bridges academic research with practical applications in school design, teacher training programs, and national educational policy development.

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Wendy D. FisherView profile

Teaching Professor

Colorado School of MinesUnited States

Wendy D. Fisher is a Teaching Professor and Director of CS Professional Programs at the Department of Computer Science , Colorado School of Mines. She holds a B.S. in Computer Science from Wright State University (1996), and M.S. and Ph.D. degrees from Colorado School of Mines (2014 and 2017, respectively). Her research focuses on applying Machine Learning to geophysical data for anomaly detection in earth dams and levees, with applications in structural health monitoring and infrastructure safety. She teaches courses such as Advanced Data Science, Machine Learning, and Python Computing. Dr. Fisher has industry experience at Ball Aerospace, where she worked on NASA-sponsored flight software projects. Her research combines interdisciplinary approaches, including geophysics and computer science, to address challenges in environmental and civil engineering. She is also passionate about innovative teaching methods, as evidenced by her exploration of online programming tutors versus traditional study guides in education. Her publications span machine learning applications in structural integrity (e.g., dams/levees), geophysical data analysis, and education technology. While no specific awards are listed, her work reflects a strong commitment to both academic excellence and practical engineering solutions. She advises no listed students but maintains active roles in curriculum development and professional programs at the university. Her work is conducted at the Colorado School of Mines campus in Golden, Colorado.

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Cain EvansView profile

Teaching Professor

Aston UniversityUnited Kingdom

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.

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James JordanView profile

Professor

University of SouthamptonUnited Kingdom

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

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James LawView profile

Researcher

University of SheffieldUnited Kingdom

Dr. James Law serves as a Senior Experimental Officer at Sheffield Robotics and leads the Collaborative Robotics Group within the School of Computer Science at the University of Sheffield. He holds a joint appointment between the Department of Computer Science and the Advanced Manufacturing Research Centre, and serves as Director of Innovation and Knowledge Exchange at Sheffield Robotics. His work integrates academic research with industrial applications in advanced manufacturing. His research focuses on human-robot collaboration, trustworthy autonomous systems, and responsible innovation in manufacturing robotics. Law develops safety assurance frameworks and digital twinning solutions for collaborative workspaces, with particular emphasis on trust engineering, user authentication, and graphical communication systems that reduce human anxiety in robot co-working environments. His interdisciplinary approach bridges computer science, engineering psychology, and industrial implementation requirements. Law's publication portfolio demonstrates consistent advancement in collaborative robotics safety, with recent work (2022-2024) focusing on verified safety controllers, digital twin frameworks, and trust modeling in human-robot triads. His research shows progression from foundational developmental robotics (2010-2015) toward applied industrial solutions, with increasing emphasis on security, safety assurance, and human factors in manufacturing contexts. As an active science communicator, Law serves on the UK Robotics and Autonomous Systems network (UK-RAS) management board and the EPSRC Early Career Forum in Manufacturing Research. EPSRC STAMAN: Robotic skill transfer for manufacturing (Co-PI, £1M+) Horizon Europe OpenSwarm: Energy-aware swarm orchestration (Co-PI, £463k) EPSRC Security of Digital Twins in Manufacturing (Co-PI, £775k) EPSRC UKRI Trustworthy Autonomous Systems Node (Co-PI, £3M) Law leads the Collaborative Robotics Group and contributes to the Complex Systems Modelling research group, focusing on translating theoretical safety frameworks into practical industrial implementations through close collaboration with manufacturing partners and policy stakeholders.

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Simon S.Y. ShimView profile

Professor

San José State UniversityUnited States

Simon S.Y. Shim is a Professor in the Computer Engineering Department at San Jose State University (SJSU). He holds a PhD in Computer Science from the University of Minnesota (1997). His research focuses on Internet Computing, Database Management, Machine Learning, and Information Retrieval. He has extensive industry experience as a Director at SAP Labs, working on in-memory database systems. Shim has served on the editorial board of IEEE Computer, including a 5-year tenure as Area Editor for Internet Computing. He has guest-edited special issues on High-Speed Security (2004), CAP Theorem (2012), and Next-Gen Memory (2013). He co-authored one technical book and holds multiple patents. His professional contributions include organizing IEEE Data Engineering workshops, IEEE Mobile Commerce, and IEEE Electronic Commerce events. Shim has published over 50 peer-reviewed articles and actively participates in academic service roles. His work emphasizes interdisciplinary applications of computer science in e-commerce, distributed systems, and multimedia technologies.

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Natalie PersonView profile

Professor

Rhodes CollegeUnited States

Natalie Person is Professor of Psychology at Rhodes College and Dean for Curricular Development. Her research develops intelligent tutoring systems and conversational agents that model expert human tutors, with applications in science education. Key contributions include the AutoTutor system, which incorporates affective computing to respond to learners' cognitive and emotional states. Research examines question-asking patterns, tutorial dialogue moves, and the intersection of cognition and emotion in learning. Methodologies combine discourse analysis with AI system design. Honored with the Clarence Day Award for Research and Jameson M. Jones Faculty Service Award. Current work explores socially intelligent interviewing systems and LSA implementation in educational environments.

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Loutfouz ZamanView profile

Associate Professor

Ontario Tech UniversityCanada

Dr. Loutfouz Zaman is an Associate Professor in the Game Development and Interactive Media department at Ontario Tech University , part of the Faculty of Business and Information Technology . He holds a PhD in Computer Science with a focus on Human-Computer Interaction from York University. His research explores visual programming interfaces, game analytics, and extended reality technologies, with a focus on practical applications such as automated bug detection and user experience optimization. Dr. Zaman has collaborated on projects funded by MITACS, NSERC, and industry partners, addressing challenges in healthcare incident management, language learning gamification, and air traffic control simulation training. He teaches courses ranging from introductory game math to graduate-level topics in human-computer interaction and machine learning for game analytics. Education: Bachelor of Science in Computer Science (Software Systems) – Concordia University Master of Science in Computer Science (Human-Computer Interaction) – York University PhD in Computer Science (Human-Computer Interaction) – York University Research Interests: Dr. Zaman’s work spans user research in gaming, game evaluation methodologies, and emerging technologies like AR/VR. His team focuses on developing tools for visual game analytics and automated testing, with recent projects including mixed reality fitness gaming interfaces and deep learning-based bug detection systems. Grants & Collaborations: His industry partnerships include projects on healthcare incident management during pandemics, CRM gamification, and pet identification systems using computer vision. He actively seeks doctoral candidates to expand research in visual analytics, XR technologies, and automated bug detection. Labs & Affiliations: Dr. Zaman is affiliated with the Software and Informatics Research Centre (SIRC) and contributes to the university’s efforts in bridging academic research with real-world applications.

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Daniel JacksonView profile

Professor

Massachusetts Institute of TechnologyUnited States

Roles and Affiliations: Daniel Jackson is a Professor of Computer Science and Engineering at MIT, and Associate Director of CSAIL (Computer Science and Artificial Intelligence Lab). He leads the Software Design Group, focusing on conceptual software design, formal methods, and cybersecurity. Education and Professional Background: Jackson's work includes collaborations with NASA, Toyota, and Massachusetts General Hospital. He earned his ACM Fellow distinction and authored influential books like Software Abstractions and The Essence of Software . Research Interests: Jackson's research spans conceptual software design, formal methods using Alloy, cybersecurity, and autonomous systems. His projects include Riffle (local-first applications), Wildcard (web customization), and Certified Control (safety-critical systems). Articles Trends: Recent work emphasizes cybersecurity in autonomous vehicles, declarative diagram composition (Bluefish), and end-user software customization. His publications bridge theory and practical applications, often addressing dependability and usability. Awards and Recognition: ACM SIGSOFT Impact Award (2016), ACM SIGSOFT Outstanding Research Award (2017), MIT MacVicar Teaching Fellow, and MLK Leadership Award (2018). Grants and Labs: Supported by NSF grants and collaborations with industry, Jackson's work includes MIT’s Future of Data Initiative and cybersecurity projects. His lab, the Software Design Group, develops tools like Alloy and explores new paradigms for software development.

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Richmond WongView profile

Assistant Professor

Georgia Institute of TechnologyUnited States

Richmond Wong is an Assistant Professor in the Digital Media Program at Georgia Tech's School of Literature, Media, and Communication, part of the Ivan Allen College of Liberal Arts. His research focuses on ethical decision-making in technology production and use, organizational ethics practices, and design-based approaches to engage stakeholders in ethical discussions. He directs the Creating Ethics Infrastructures Lab, exploring how to create social, cultural, and organizational environments that support ethical technologists. Education: PhD in Information Management and Systems from UC Berkeley School of Information; BA in Information Science and Science & Technology Studies from Cornell University. Postdoctoral fellowship at UC Berkeley Center for Long-Term Cybersecurity. Research interests include technology ethics, speculative design, privacy, and human-computer interaction. Recent projects examine AI non-use in UX practices, technology workers' ethics work, and alternate ethics infrastructures. His work combines qualitative methods with design futuring to address societal impacts of technology. Grants include an Atlanta Interdisciplinary AI Network seed grant (2025) for studying tech workers' commutes and infrastructure. Active in academic communities, he co-leads a critical computing initiative funded by Georgia Tech's Institute for People and Technology. Labs/Teams: Leading the Creating Ethics Infrastructures Lab, collaborating with interdisciplinary researchers on projects such as 'Fostering the Landscape of Critical Computing.' Advises Georgia Tech MS/MS HCI students on final projects related to ethics and design.

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Ron BergquistView profile

Teaching Professor

University of North Carolina at Chapel HillUnited States

Dr. Ron Bergquist is a Teaching Professor at the UNC School of Information and Library Science , with roles including Coordinator for the Undergraduate Program (2013–present) and former Associate Dean for Academic Affairs (2016–2020). He retired as a Colonel from the U.S. Air Force after 26+ years of service, including combat roles in Vietnam and Desert Storm. His expertise spans public libraries in North Carolina , visual language , and user-centered design . Education: B.A. in Geography, University of Texas at Austin (1968) M.A. in National Security Affairs (Middle East Studies), Navy Postgraduate School (date unspecified) M.S.L.S. and Ph.D. in Information and Library Science, UNC Chapel Hill (1999 and 2006) His research integrates his military background and library science, focusing on public policy for small-town libraries and collaborative virtual environments. Recent publications explore distributed scientific collaboration and information flow in command structures. He teaches courses like Information Tools and Information Use for Organizational Effectiveness . Advising & Grants: Supervises field experiences (INLS992) and holds regular office hours. No formal grants or awards are listed, but his work bridges military strategy and civilian information systems.

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Alexander KemperView profile

Associate Professor

North Carolina State UniversityUnited States

Dr. Alexander (Lex) Kemper is an Associate Dean for Research and Associate Professor in the Department of Physics at North Carolina State University (NC State), within the College of Sciences. He holds a PhD in Physics from the University of Florida (2010), followed by postdoctoral research at Stanford University/SLAC National Lab and Lawrence Berkeley National Lab as an Alvarez Fellow. He joined NC State in 2015 as an Assistant Professor, advancing to his current roles. His research focuses on quantum materials in and out of equilibrium, combining ultrafast laser experiments with computational modeling. Key areas include non-equilibrium dynamics in correlated materials, pump-probe spectroscopy, and quantum computing algorithms for simulating condensed matter systems. He received an NSF CAREER Award in 2018 for studying light-induced phases in 2D materials. Research interests span superconductivity (cuprates and Fe-based systems), electron-phonon coupling, and quantum machine learning applications. His lab develops software tools like eigenvector continuation and Hankel projections to study many-body systems. Recent work addresses quantum state preparation resilience, fast scrambling in hyperbolic models, and geometric quantum algorithms. Current lab members include graduate researchers (Anjali Agrawal, Heba Labib) and undergraduates (Liam Doak, Arvin Kushwaha). Alumni include notable contributors like Akhil Francis and Avinash Rustagi. Collaborations involve experimentalists in ultrafast spectroscopy and quantum hardware teams. Publications (2025) highlight advances in quantum algorithms (e.g., error mitigation, horizontal gates) and experimental techniques (correlation-ARPES, RIXS). His work bridges theoretical predictions with quantum hardware implementation, aiming to solve complex materials physics challenges on near-term quantum devices.

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