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Jayesh PillaiView profile

Associate Professor

• Immersive Media Design
• Virtual Reality
• Augmented Reality
• +3 more

Dr. Jayesh Pillai is an Associate Professor at the IDC School of Design, Indian Institute of Technology Bombay, specializing in immersive media design, virtual reality, and augmented reality technologies. His work bridges the gap between design, technology, and storytelling, with a focus on creating meaningful user experiences in virtual environments. His research interests include: Immersive Media Design Virtual Reality & Augmented Reality Visual & Interactive Storytelling Interaction Design Dr. Pillai teaches courses in Design for Virtual Reality, Immersive Media Design, Interaction Design, and Trends in Interactive Technologies at the MDes level, as well as Digital Media Technologies at the BDes level. He has developed educational content through D'Source, including "Virtual Reality: Introduction." His recent publications demonstrate a strong focus on VR narrative techniques, AR educational applications, and social interactions in virtual spaces. His work explores audio-visual cues in 6DoF VR, interactive storytelling through digital game design, and the application of AR in mathematics education and vocational training. Dr. Pillai's research consistently examines how immersive technologies can enhance user experience, learning, and social connection. Dr. Pillai is the creator of "Cinévoqué," a form of responsive VR Cinema where storylines are driven by the viewer's point of interest, and has directed VR films including "Dragonfly" (2018) and "Manhole" (2022), which has been officially selected at multiple international film festivals. He leads the IMXD Lab at IIT Bombay, where his team conducts cutting-edge research in immersive media and interaction design. His work has been presented at major conferences including ACM SIGGRAPH, IEEE VR, and INTERACT.

Vir V. PhohaView profile

Professor

• Cyber Security
• Machine Learning
• Biometrics
• +4 more

Vir V. Phoha is a distinguished Professor in the Department of Electrical Engineering and Computer Science at Syracuse University's College of Engineering and Computer Science. He holds multiple prestigious fellowships including AAAS, AAIA, IEEE, NAI, and SDPS, and was named an ACM Distinguished Scientist in 2008. Dr. Phoha's research spans across cybersecurity, machine learning, and biometrics. His work focuses on cutting across conventional disciplines to unify basic and common concepts, particularly in security (malignant systems, active authentication), machine learning (decision trees, statistical, and evolutionary methods), and computer networks (anomalies, optimization). He develops field-realizable defensive and offensive cyber-based systems using these methodologies. His recent publications reveal a strong focus on continuous authentication, biometric security, fake news detection, and adversarial challenges in cybersecurity. The research shows an evolution from traditional network security to more specialized areas like wearable device security, keystroke dynamics, and gait authentication. Scientific Awards: Fellow of AAAS, AAIA, IEEE, NAI, SDPS ACM Distinguished Scientist (2008) IEEE Computer Society Distinguished Visitor (2024-2026) ACM Distinguished Speaker (2012-2015) IEEE Region 1 Technological Innovation Award (2017) "Highest Impact Award" IEEE CVPR 2018 Workshop on Biometrics Dr. Phoha serves as an associate editor for the ACM journal, ACM Digital Threats: Research and Practice (DTRAP) , and as an associate editor of IEEE Transactions on Computational Social Systems (TCSS) . He has advised numerous students who have gone on to publish significant research in cybersecurity and biometrics. His work has been supported by grants from DARPA and NSF, including the development of the BB-MAS dataset which became one of IEEE DataPort's most popular datasets.

Ming LiView profile

Professor

• Audio and Speech Processing
• Multimodal Behavior Signal Analysis
• Speech Synthesis
• +3 more

Ming Li is a Professor of Electrical and Computer Engineering at Duke Kunshan University's Division of Natural and Applied Science, and a Principal Research Scientist at the Digital Innovation Research Center. He holds an adjunct position as a Professor at Wuhan University's School of Computer Science. His research focuses on audio/speech processing, multimodal behavior signal analysis, and applications in autism spectrum disorder diagnosis. Li has over 200 publications and serves on editorial boards of journals like IEEE Transactions on Audio, Speech and Language Processing. Education: Ph.D. in Electrical Engineering from the University of Southern California (2013). Awards include the IBM Faculty Award (2016), ISCA 5-Year Best Paper Award (2018), and Youth Achievement Award (2020). He leads initiatives in anti-spoofing countermeasures, voice conversion, and speech synthesis. Recent Courses: Random Signals and Noise Speech Recognition Data Science Key Research Contributions: Development of datasets like KunquDB, TMCSpeech, and systems for speaker verification, deepfake detection, and autism diagnosis tools. His work bridges signal processing with clinical applications, leveraging AI for social interaction improvement in neurodiverse populations.

Thomas BjørnerView profile

Associate Professor

• Qualitative Research
• Mixed Methods
• User Experience
• +5 more

Thomas Bjørner is an Associate Professor at Aalborg University's Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design. He serves as Head of the Media Innovation & Game Research (Me-Ga) unit and co-founded the research network for qualitative methods (since 2007) with 40+ company collaborations. Specializes in qualitative/mixed methods for technology evaluation Teaches PhD courses in advanced qualitative methods EU expert evaluator for research grants His research focuses on gamified learning , VR for social communication , and technology acceptance studies , often addressing UN Sustainable Development Goals. Recent projects include: Audio-only VR for blind gamers Generative AI integration in education Plastic crisis awareness games Smart city implementation barriers Scientific Awards: Serious Game Competition Award (2022) International conference prizes (2020, 2018) With over 121 publications including two textbooks, his work emphasizes applied qualitative methods with improved validity in technology contexts, particularly for youth education and media research.

Matthew JensenView profile

Professor

• Computer-Aided Decision-Making
• Human-Computer Interaction
• Knowledge Management
• +6 more

Matthew L. Jensen is the W.P. Wood Presidential Professor of Management Information Systems at the University of Oklahoma's Price College of Business, where he also co-directs the Center for Applied Social Research. He holds a Ph.D. from the University of Arizona (2007). His research focuses on decision-making processes in mediated environments, with emphasis on online credibility assessment, cybersecurity training efficacy, and deception detection. He has secured over $9.7M in grants from NSF, Air Force Office of Scientific Research, and other agencies. Education: Ph.D., Management Information Systems, University of Arizona, 2007 Research explores how individuals evaluate information credibility in AI-driven interactions, phishing susceptibility mitigation through gamified training, and ideological messaging on extremist websites. His work appears in top journals like MIS Quarterly and Information Systems Research. Recent projects include developing AI tools for duplicate comment detection in regulatory processes and analyzing phishing vulnerability across industries. Key achievements include a $9.7M grant portfolio and leadership in interdisciplinary teams investigating digital deception and cybersecurity collective action. His training games have advanced bias mitigation strategies in both organizational and educational contexts.

• Knowledge Management
• Cyber Security
• Terrorism Research
• +5 more

Babak Akhgar serves as Professor of Informatics and Director of CENTRIC (Centre of Excellence in Terrorism, Resilience, Intelligence and Organised Crime Research) at Sheffield Hallam University's College of Business, Technology and Engineering, with additional affiliation to the Culture and Creativity Research Institute. Recognized as a Fellow of the British Computer Society (FBCS), he maintains active leadership in security informatics research and education. His academic foundation includes a Software Engineering degree from Sheffield Hallam University, complemented by a Master's degree with distinction in Information Systems in Management and a PhD in Information Systems. This academic trajectory followed substantial industry experience as a Strategy Analyst and Methodology Director for multiple organizations. Professor Akhgar's research program bridges theoretical knowledge management with practical security applications, focusing on cyber security, counter-terrorism, intelligence frameworks, and big data analytics for national security. His scholarly output demonstrates consistent evolution from foundational knowledge management systems toward contemporary security challenges including cryptocurrency tracing, AI accountability in law enforcement, and smart city security frameworks. Recent work shows particular emphasis on ethical considerations, citizen acceptance of security technologies, and practical implementation of security solutions. Fellow of the British Computer Society (FBCS) Co-editor of influential security publications including 'Intelligence Management: Knowledge Driven Frameworks for Combating Terrorism and Organised Crime' Member of editorial boards for three international journals Chair and program committee member for numerous international security conferences As a doctoral supervisor, Professor Akhgar has guided research on cyber situational awareness, digital music ontology, and e-government services. His leadership extends to major EU-funded security initiatives including the MIICT project for migrant integration and development of the AP4AI accountability framework for artificial intelligence in security contexts. Through CENTRIC, he directs a research ecosystem that connects academic inquiry with real-world security challenges while addressing ethical, legal, and societal implications of security technologies.

Laura MayeView profile

Lecturer

• Interactive Media
• Human-Computer Interaction

Dr. Laura Maye is a Lecturer at the School of Computer Science and Information Technology, University College Cork. Her research specializes in Interactive Media and Human-Computer Interaction (HCI), focusing on participatory design methods and immersive technologies. Key research interests include virtual reality applications, co-design methodologies for cultural heritage, community-centered technology development, and sensory interaction studies. Her work emphasizes inclusive design and socio-ecological relationships in technology. Recent publications (2020-2025) demonstrate strong trends in VR-based sensory studies, community radio innovations, and rehabilitation technology. Articles frequently employ mixed-methods approaches and highlight cross-modal perception, participatory frameworks, and rural HCI challenges.

Masato KikuchiView profile

Associate Professor

• Instructional Technology
• Intelligent Computer-Assisted Language Instruction (CALI)
• Japanese Language
• +4 more

Dr. Masato Kikuchi is an Associate Professor of Japanese in the School of Modern Languages at Georgia Tech. He holds a PhD from the University of Pittsburgh (1995), an M.S. in Intercultural Communication (1982), and a B.A. from International Christian University (1979). His research focuses on instructional technologies for language acquisition, particularly leveraging virtual worlds like Second Life for immersive Japanese learning. He has developed platforms such as the 'Sky Platform at EduNation III,' exploring 3D visualization for grammar concepts and comparative studies on 3D vs. 2D language learning tools. Dr. Kikuchi teaches advanced and intermediate Japanese courses, specializing in CALL (Computer-Assisted Language Learning), technical translation, and intercultural communication. His work emphasizes integrating technology into language education, including courseware design for online and hybrid learning environments. Recent projects include software for virtual world-based communicative practice and research on NMT (Neural Machine Translation) as a pedagogical tool. His publications span conference proceedings, courseware development, and software tools like the 'Understanding Written Japanese' CD-ROM series. He actively presents on topics such as virtual world design, information gap exercises, and Japanese course design. His research aligns with Georgia Tech’s focus on STEM-integrated language education and international collaborations.

• AI-enabled communications
• Green and energy-efficient communications
• Online optimization and machine learning
• +6 more

E. Veronica Belmega is a Full Professor at ESIEE Paris (Université Gustave Eiffel) and a researcher at the LIGM laboratory in Marne-la-Vallée, France. Previously, she served as an Associate Professor at ENSEA graduate school and Deputy Director of the ETIS laboratory in Cergy. She holds an Engineer Degree from the University Politehnica of Bucharest, M.Sc. and Ph.D. from Université Paris-Sud 11, and an HDR habilitation from Université de Cergy-Pontoise. Her research focuses on AI-driven communication systems, energy efficiency, online optimization, and cyber-physical security, with a strong emphasis on applications in smart grids and IoT. Her work spans securing wireless communications against adversarial attacks, optimizing resource allocation in cognitive radio networks, and leveraging machine learning for GNSS localization and MIMO systems. Notable contributions include game-theoretic frameworks for PMU deployment and energy-efficient NOMA systems. Belmega has received prestigious awards such as the 2021 CY Alliance Award and the L’Oréal-UNESCO fellowship, and serves as an Area Editor for IEEE Trans. on Machine Learning in Communications and Networking. Current projects include a CEA LETI postdoc position on AI localization and a PEPR 5G project. She actively contributes to special issues like the EURASIP JASP on sustainable wireless communications. Belmega’s advising includes PhD student S. Maleki, co-author of her 2024 IEEE SmartGridComm Best Paper Award-winning work.

Eva ErikssonView profile

Associate Professor

• Human-Computer Interaction
• Participatory Design
• Interaction Design
• +7 more

Eva Eriksson is an Associate Professor at Aarhus University, affiliated with the School of Communication and Culture and the Department of Digital Design and Information Studies. Her work bridges design, technology, and social values, focusing on participatory and human-centered approaches. Her research interests center on Human-Computer Interaction (HCI) , Participatory Design , and Design for Sustainability . She explores how co-design methods can empower youth, support children with learning differences like dyscalculia, and integrate more-than-human perspectives—considering non-human actors such as nature and technology—in design processes. Her work emphasizes ethical, inclusive, and reflective design practices. The recent publications highlight a strong trend in co-design with youth , XR and AR for education , sustainable technology , and methodological innovation in design research . These works span case studies, scoping reviews, and conceptual provocations, often published in top-tier venues like CHI and Interacting with Computers . Honourable Mention Award at CHI 2020 Honorable Mention, Design Space, CHI 2021 Most Cited Paper of 2021, International Journal of Child-Computer Interaction Eva Eriksson leads and contributes to externally funded research projects such as COMPILE (focused on dyscalculia and AR) and MOVA (on more-than-human values in design education), supported by the Independent Research Fund Denmark and Erasmus+. She supervises student projects and teaches courses such as Co-design and Bachelor Project . She also serves on international PhD examination and evaluation panels, demonstrating her active role in the global academic community. She is a core member of the Center for Computational Thinking & Design (CCTD) , a multidisciplinary research center at Aarhus University that fosters innovation in design, education, and technology.

Hanna-Riikka RoineView profile

Associate Professor

• Digital Culture
• Narrative Theory
• Game Studies
• +7 more

Hanna-Riikka Roine is an Associate Professor in Digital Culture at the University of Bergen, affiliated with the Department of Linguistic, Literary and Aesthetic Studies and the Center for Digital Narrative. Her research bridges digital media, narrative theory, and speculative fiction, with a focus on games, imagination, and democratic discourse. Her research interests include: Digital culture and computational media Narrative theory and worldbuilding Game studies, particularly narrative agency in video games Speculative fiction as a tool for imagining futures Transmediality and digital storytelling The role of fiction in democratic imagination Her recent publications explore narrative forms in social media, romance mechanics in games like Dragon Age , and the limits of narrativizing environmental systems. She investigates how digital technologies entangle with human imagination, especially in speculative contexts. Notable research projects include: CO-SPEC (Academy of Finland, 2020–2023): On human-computer entanglement in speculation Imagine, Democracy! (Kone Foundation, 2023–2026): On narrative fiction as a democratic imagination tool in Finland She has co-edited special issues and books on digital environments, games, and speculative fiction, demonstrating leadership in interdisciplinary scholarship. While no formal scientific awards are listed, her funded projects and editorial roles signify academic recognition. She has collaborated with researchers such as Laura Piippo, Esko Suoranta, and Susanna Lindberg, contributing to a vibrant research network. She has also developed innovative pedagogical methods, such as using Twine game jams for assessment in higher education. Her work is situated within a strong digital humanities framework, connecting literary theory with contemporary media and societal challenges.

Janarthanan RajendranView profile

Assistant Professor

• Reinforcement Learning
• Deep Learning
• Artificial Intelligence
• +12 more

Janarthanan Rajendran is an Assistant Professor and the Sexton Chair in Reinforcement Learning at the Faculty of Computer Science, Dalhousie University, in Halifax, Nova Scotia, Canada. He is actively involved in research, teaching, and mentoring, with a focus on deep reinforcement learning and its applications in complex, dynamic environments. Education: Postdoctoral Fellow, Mila Quebec AI Institute and University of Montreal, Canada (2023) PhD in Computer Science and Engineering (AI stream), University of Michigan, Ann Arbor, USA (2021) MTech and BTech in Electrical Engineering, Indian Institute of Technology Madras, India (2016) His research focuses on enabling machines to learn through interaction, with core interests in deep reinforcement learning, model-based RL, multi-agent systems, transfer learning, and applications in materials science and economics. He also explores the integration of large language models and foundation models into reinforcement learning frameworks. His work emphasizes adaptivity, lifelong learning, and societal implications of AI. The most recent publications show a strong trend in advancing cooperative multi-agent systems, developing adaptive and memory-efficient RL methods, and applying RL to real-world challenges such as crystal design and dynamic pricing. His research bridges theoretical innovation with practical application, often in interdisciplinary contexts. Scientific Awards: Sexton Chair in Reinforcement Learning Dr. Rajendran is actively involved in mentoring graduate students and fostering an inclusive research environment. He is currently recruiting PhD and MCS students at Dalhousie University. He has no formal grants listed in the text, but his research chair and active publication record suggest strong funding support. He is also engaged in the broader AI community, having organized and participated in major conferences such as the Atlantic Canada AI Summit and NeurIPS. Labs and Research Groups: He leads a research group focused on deep reinforcement learning at Dalhousie University, working on topics including model-based RL, off-policy learning, and leveraging external knowledge sources. The group emphasizes inclusivity and supports underrepresented groups in computer science research.

Wei-Chen HungView profile

Professor

• Problem Solving
• Human-Computer Interaction
• Performance Support Systems
• +7 more

Wei-Chen Hung is a Professor and Department Chair in the Department of Educational Technology, Research and Assessment at Northern Illinois University’s College of Education. He holds a Ph.D. in Instructional Systems Technology from Indiana University-Bloomington and is actively engaged in teaching, research, and leadership in educational technology. Ph.D., Instructional Systems Technology, Indiana University-Bloomington (with Minor in Information Science) His research focuses on problem solving, human-computer interaction (HCI), and performance support systems in educational contexts. He explores how technology can scaffold learning, enhance problem-solving skills, and support teachers in instructional design and classroom management. His work spans K–12, higher education, and professional training environments. The recent publications highlight a strong trend in developing and evaluating technology-enhanced learning environments, including intelligent tutoring systems, 3D virtual worlds, educational simulations, and performance support tools. These works span disciplines such as STEM education, nursing, and social sciences, reflecting an interdisciplinary approach to solving instructional challenges through technology. Wei-Chen Hung has secured significant research funding from agencies including the National Science Foundation, NASA, and the Illinois Department of Education. He has served as Principal Investigator and Co-Principal Investigator on multiple grants focused on educational simulations, research methods training, and assistive technologies. National Science Foundation: Web-based Interactive Landform Simulation Model (WILSIM), $236,041, 2013–2016 (Senior Faculty Expert) Elgin Community College: Information security awareness, $10,000, 2011–2012 (Principal Investigator) National Science Foundation: Intelligent tutoring system for research methods, $150,000, 2008–2012 (Co-Principal Investigator) NASA: MARS Valley Networks Project, $20,000, 2005–2007 (Faculty Expert) Illinois Department of Education: Assistive technology for blind and visually impaired children, $75,000, 2005–2007 (Faculty Expert) He has contributed to the development of software tools and systems such as the Cause and Consequence behavior management system and performance support systems for educators. His lab and research initiatives emphasize applied design, usability testing, and evaluation of educational technologies in real-world settings.

Jean F. Honorio CarrilloView profile

Adjunct Professor

• Machine Learning
• Artificial Intelligence
• Optimization Theory
• +5 more

Jean F. Honorio Carrillo is an Adjunct Professor at Purdue University's Department of Computer Science and a Senior Lecturer at the University of Melbourne's School of Computing and Information Systems. He specializes in machine learning theory, optimization, and their applications to combinatorial and non-convex problems. His research focuses on developing algorithms with theoretical guarantees for structured prediction, robustness, fairness, and federated learning. He has advised numerous students across multiple institutions and holds adjunct roles at Purdue's Statistics Department and MIT CSAIL. Roles: Senior Lecturer (Melbourne), Adjunct Professor (Purdue), Adjunct at MIT CSAIL Research Areas: ML Theory, Non-Convex Optimization, Fairness, Federated Learning Key contributions include breakthroughs in exact inference for structured prediction, optimization frameworks for NP-hard problems, and theoretical foundations for modern ML challenges. His work has been published in top venues like NeurIPS, ICML, and JMLR. He has secured grants from NSF and industry partners, including a 2021 NSF DMS grant for deep learning research. His students have gone on to postdoctoral roles at NUS and UChicago/CMU.

Daniel J EckView profile

Assistant Professor

• Sports Analytics
• Evolutionary Biology
• Biostatistics
• +4 more

Daniel J Eck is an Assistant Professor in the Department of Statistics at the University of Illinois Urbana-Champaign within the College of Liberal Arts & Sciences. His research focuses on statistical methodology development driven by collaborations in diverse fields such as sports analytics, evolutionary biology, economics, and biostatistics. He holds a PhD in Statistics from the University of Minnesota (2017) and a BS in Mathematics from Southern Illinois University Carbondale (2009). Education: PhD in Statistics, University of Minnesota, 2017 BS in Mathematics, Southern Illinois University Carbondale, 2009 His research interests emphasize methodological innovation in areas like envelope models, variance reduction techniques, and applications in sports and ecology. Recent work explores fire effects on plant fitness, soybean genomics, and infectious disease intervention design. He actively collaborates with researchers across disciplines and mentors graduate students in statistical methods. Eck teaches courses such as Baseball Analytics and Advanced Regression Analysis. Research Trends: His articles span statistical theory (e.g., envelope estimation), applied ecology (fire-pollination interactions), and sports analytics (player performance comparisons). He balances foundational methodology with practical applications in diverse domains. Advising & Grants: Eck advises graduate students on projects in evolutionary biology and economics. While specific grant details are not provided, his research reflects active engagement with funded collaborative projects. He maintains affiliations with the Department of Statistics and has ties to computational biology and public health initiatives. Labs/Teams: While no specific lab is mentioned, his work aligns with interdisciplinary teams at UIUC and Yale School of Public Health (prior postdoctoral affiliation).