Gerit Götzenbrucker is an Associate Professor at the University of Vienna's Faculty of Social Sciences, Institute of Journalism and Communication Studies. With an ORCID ID of 0000-0002-2626-8182, they have over 20 years of publications and research activity. Their work focuses on media education, social interaction, and ICT-mediated urban mobility solutions, particularly for vulnerable populations. Key research areas: Media Education, Social Learning, Urban Mobility, and Digital Integration Projects: 'Serious Beats' (2011-2013) analyzing digital integration of migrants, and 'myITS' (2012) receiving Smart City recognition Academic leadership: Active in inter- and transdisciplinary research connecting social sciences with technology development Their recent work explores TikTok's feminist discourse (2023) and ICT applications for anxiety disorder support in public transportation (2025). They have contributed to over 127 publications and participated in 116 academic activities, including methodological workshops on visual analysis (2023). Scientific awards include: Bank Austria Stiftungspreis (2001) for interdisciplinary research 'Good Practice/Innovations' Call-Preis (2013) for 'Serious Beats' 'Smart City' Partnerpreis der Wiener Stadtwerke (2012)
Kirsten Hermes serves as Senior Lecturer in Music Performance Technology at the University of Westminster since 2016, merging academic research with professional practice as electronica artist Nyokee. Her work bridges psychoacoustic engineering, electronic music performance, and creative technology development. Her educational foundation includes an EPSRC-funded PhD in Sound Recording and Psychoacoustic Engineering from the University of Surrey, where her thesis focused on spectral clarity predictors in music mixes. Research centers on automatic music mixing tools and spectral clarity modeling , expanding into AI's impact on creativity, virtual artist identities, and chiptune culture. Recent work examines pandemic adaptations in online music communities and audiovisual integration in live electronic performance, emphasizing practical applications for musicians. Analysis of her 15 most recent publications (2021-2025) reveals an evolution from core psychoacoustic research toward interdisciplinary exploration of AI, virtual performance, and cultural adaptation in electronic music. Key trends include human-AI collaboration frameworks, chiptune's digital resilience, and the role of 3D avatars in artist identity construction. She currently supervises doctoral researcher Clara Colotti, whose thesis investigates audiovisual expansion of orchestral cultural scope. While specific grant details aren't provided, her EPSRC-funded PhD demonstrates research funding capability. Affiliated with the university's Music Research Group, she actively engages the electronic music community through Nyokee performances at MAGfest, Comic Con, and Hyper Japan, blending academic inquiry with stage practice.
Sanna Kuoppamäki is an Assistant Professor in Technology in Health Care at KTH Royal Institute of Technology, working within the Department of Health Informatics and Logistics in the School of Engineering Sciences in Chemistry, Biotechnology and Health. Holding a PhD in Sociology, she conducts interdisciplinary research focused on user-centric digital technologies for health and well-being, with particular emphasis on healthy ageing applications. Her research program investigates the use and design of interactive technologies for healthy ageing through social robotics, wearable technologies, and mobile health applications. Dr. Kuoppamäki develops innovative methodologies that involve users throughout the design process, particularly focusing on older adults and children. Her work is theoretically grounded in social practice theory, media and communication studies, and participatory design methodologies, with a strong emphasis on understanding how technologies shape and are shaped by everyday life to create more inclusive solutions. Current research themes include conversational AI for mindfulness coaching, social robotics for elderly care, wearable technologies for physical activity monitoring, and AI-driven platform care systems. Analysis of Dr. Kuoppamäki's recent publications reveals a clear evolution toward increasingly sophisticated AI applications in elderly care contexts. Her work consistently bridges computer science, sociology, healthcare, and design disciplines, with growing emphasis on large language models, multi-modal interaction, and ethical considerations in technology deployment. The research demonstrates strong methodological rigor, with frequent use of participatory design approaches and qualitative user studies to ensure technologies meet the specific needs of older adult populations. Dr. Kuoppamäki currently leads or co-leads multiple significant research projects including 'Robots as Welfare Technologies and Actors for Elderly Care' (NORDFORSK, 2025-2029), 'AI-driven platform care (CareQuAI)' (FORTE/MYBL, 2025-2027), 'Adaptive Intelligent Homes' (Digital Futures, 2024-2025), 'Conversational AI for digital mindfulness with older adults (LugnAI)' (2023-2025), and 'Enhancing older adults' physical activity through inclusive design of interactive wearable sensor devices (Age-Wear)' (Kamprad Family Foundation, 2024-2026). As an educator, Dr. Kuoppamäki serves as course responsible and examiner for 'Entrepreneurship in Technology and Health' and 'Sociocultural Perspectives to Innovative Technologies,' while also teaching 'Industrial Marketing.' She has supervised numerous PhD and Master's students working on projects related to conversational AI applications, social robotics, and wearable technologies for elderly care, with several students completing theses on topics including age-inclusive mindfulness apps, conversational agents for cognitive assistance, and interactive wearable technologies for physical activity monitoring.
Dr. Emad Alyan serves as a Researcher in the Experimental Ergonomics department at the Leibniz Research Centre for Working Environment and Human Factors Dortmund (IfADo), where he has been employed since April 2022. Previously, he worked as a post-doctoral researcher at Universiti Teknologi PETRONAS in Malaysia from August 2021 to March 2022, following his PhD completion. His research integrates neuroscience, engineering, and ergonomics to understand human cognitive processes in real-world environments. Dr. Alyan's educational background includes a Doctor of Philosophy (Ph.D.) in Electrical and Electronics Engineering from Universiti Teknologi PETRONAS (2021), a Master of Science in Computer & Communication Engineering from Universiti Malaysia Perlis (2016), and a Bachelor of Engineering in Biomedical Electronic Engineering from the same institution (2014). His primary research interests focus on cognitive ergonomics and human factors , with specialization in stress analysis using physiological measures. Dr. Alyan has pioneered methodologies using EEG and eye blink metrics to assess cognitive workload in driving simulations and workplace environments. His work bridges neuroscience and practical applications in transportation safety and workplace design, with particular attention to how age differences affect neural responses during complex tasks. Analysis of Dr. Alyan's publication record from 2023-2025 reveals a strong focus on real-world neuroscience applications. His research consistently examines the relationship between eye blink patterns and EEG activity as biomarkers for cognitive states. The publications demonstrate a progression from basic measurement techniques to advanced signal processing methods for real-world applications, with significant implications for driver safety monitoring systems and workplace ergonomics assessment tools. As a researcher at IfADo, Dr. Alyan collaborates with Prof. Dr. Edmund Wascher (Head of Department) and works within the Experimental Ergonomics team under the broader Ergonomics research division. His work contributes to the institute's mission of improving working conditions through scientific research on human factors and ergonomics.
Mengxi Zhang is an Associate Professor with tenure in the Department of Economics at the University of Bonn, holding concurrent affiliations with the Hausdorff Center for Mathematics, Collaborative Research Center CRC TR 224, and ECONtribute: Markets & Public Policy. Her research bridges theoretical economics and applied market design within these prestigious institutional frameworks. Her educational background includes a PhD in Economics from Boston University, forming the foundation for her specialized expertise in microeconomic theory. This training is evident in her rigorous analytical approach to complex economic problems. Dr. Zhang's research program focuses on Mechanism Design and Auction Theory , with significant contributions to Contest Theory and Market Design . Her work explores strategic behavior under uncertainty, risk preferences in bidding environments, and optimal institutional design. This research intersects behavioral economics through investigations of non-expected utility models and their implications for market outcomes. Analysis of her publication record reveals consistent contributions to top-tier economics journals, with thematic emphasis on auction theory extensions, insurance design under asymmetric information, and security structuring for risk-averse agents. Her work demonstrates methodological sophistication through advanced mathematical modeling while maintaining relevance to real-world market applications. As an active researcher within the Hausdorff Center for Mathematics and ECONtribute network, she contributes to collaborative projects examining market mechanisms and public policy interfaces. Her institutional affiliations provide robust support for theoretical research through access to interdisciplinary expertise and computational resources.
Mirela Djordjevic is a Professor at Manhattanville University, where she has served since 2002 after prior appointments at Trinity University (2000-2002) and the University of Belgrade in Serbia (1984-1999). She holds a PhD and master's in computer science from the University of Maryland, complemented by a master's in computer science and bachelor's in mathematics from Belgrade University. Education: Numerical Mathematics, BS, Belgrade University Computer Science, MS, Belgrade University Computer Science, MS, University of Maryland Computer Science, PhD, University of Maryland Research Focus: Dr. Djordjevic's work centers on programming languages design , domain specific languages , and constructive type theory , with significant contributions to program verification and electronic document systems. Her research bridges theoretical computer science and practical software development methodologies. Publication Trends: Her scholarly output reveals dual expertise in computer science education and applied systems development. She has authored textbooks on Java, Visual Basic, and database design while publishing research on pedagogical models like the Spiral Method and theoretical foundations of type systems. This corpus demonstrates consistent focus on improving programming education and language design since the 1990s. Scientific Recognition: No major awards or fellowships are documented in available sources. Academic Service: Current teaching responsibilities include Computer Programming I/II, Systems Architecture, Database Design, and Web Applications Development. Information regarding graduate advisees, research grants, or laboratory leadership is not provided in the source material.
Miss Fatima Althani is a Researcher at the School of Electronic Engineering and Computer Science, Queen Mary University of London, contributing to natural language processing through innovative gamified systems and visual interface design. Her research prioritizes human-centered approaches to computational linguistics, with core interests including: Natural Language Processing (NLP) Gamification and Gameful Design Human-Computer Interaction (HCI) Educational Technology Artificial Intelligence for Text Annotation Visual Communication and Icon Design Analysis of her 2022-2024 publications reveals a cohesive research program developing virtual environments like Lingotowns for language annotation and learning. Her work systematically examines onboarding techniques, visual element efficacy, and engagement metrics in gamified NLP tasks, advancing methodologies for high-quality AI training data collection through user experience optimization. No scientific awards were documented in the source material. Information regarding student supervision, research funding, laboratory infrastructure, or collaborative teams was not provided in the available texts.
Ken Perlin is a Professor of Computer Science at New York University , affiliated with the NYU Future Reality Lab (FRL) and the MAGNET (Media and Games Network) . His research focuses on virtual reality, haptics, human-computer interaction, and interface design . He is renowned for pioneering Perlin Noise, a fundamental algorithm in computer graphics and animation. Perlin actively teaches graduate courses in computer graphics and virtual reality, emphasizing immersive technologies and collaborative systems. Research interests include tangible interfaces, mixed reality collaboration, multimodal interaction, and XR applications . He leads projects in shared virtual environments, force feedback systems, and AI-driven generative design. His work bridges academia and industry via startups like Tactonic (haptics) and Parallux (spatial computing). Awards: Recipient of the Academy Award for Scientific and Technical Achievement (Oscar) for Perlin Noise. His contributions to VR/AR interfaces and collaborative systems have been recognized in SIGGRAPH and CHI conferences. Labs/Teams: Directs the FRL, exploring future XR technologies. Collaborates with industry partners on tangible computing and spatial interaction systems.
Jill Walker Rettberg is a Professor of Digital Culture at the University of Bergen, Norway, and Co-Director of the Center for Digital Narrative (CDN), a Norwegian Center of Excellence funded by a €15M grant (2023–2033). She leads the ERC Advanced Grant project AI STORIES (2024–2029) and previously directed the ERC Consolidator project Machine Vision in Everyday Life (2018–2024). Her research focuses on how technologies like AI and machine vision shape narratives and cultural practices. Education and Background: Rettberg holds a PhD in Humanistic Informatics from the University of Bergen and has a background in Comparative Literature. She has been a pioneer in digital culture studies since the late 1990s, winning awards such as the Ted Nelson Newcomer Award (1999) and the John Lovas Memorial Award (2017). Research Interests: Her work spans AI narratives, machine vision ethics, social media storytelling, electronic literature, and the societal impacts of algorithms. Recent projects include analyzing generative AI’s cultural biases and exploring how machine vision influences human perception. Publications: Rettberg authored Machine Vision: How Algorithms Are Changing the Way We See the World (2023), Seeing Ourselves Through Technology (2014), and Blogging (2008). Her articles and datasets investigate topics like AI-generated narratives, facial recognition bias, and digital art interfaces. Grants and Awards: Besides ERC grants, she has been recognized with the Meltzer Foundation Prize (2006) and serves in leadership roles at UiB AI and LEAD AI networks. Teaching and Mentoring: Rettberg supervises PhD students in digital culture, including work on conversational apps for chronic patients and haptic interfaces in digital art. She teaches courses on machine vision, critical digital theory, and AI ethics.
Dr. Muhammad Diyan is a Lecturer in Computer Science at Teesside University, UK, with over 10 years of experience in academia and industry. He holds a Ph.D. from Kyungpook National University, South Korea (2017–2021), where his research focused on scheduling sensor duty cycling using Bi-Directional LSTM and Reinforcement Learning. He has held prestigious roles including Research Associate at University of Glasgow and Edinburgh Napier University, and Lecturer at University of Dundee. His research spans AI, IoT, Data Science, Cybersecurity, Healthcare, and Computer Vision. Notable contributions include deep learning models for brain tumor detection, skin cancer early diagnosis via mobile applications, and energy-efficient IoT protocols. He has authored over 25 journal papers and conference proceedings, and received the UK Royal Academy of Engineering's Global Talent Visa for early-career innovators. Diyan actively serves as a reviewer for high-impact journals, conference track chair, and guest editor for special issues. His work emphasizes real-world applications in healthcare, smart cities, and cybersecurity, blending theoretical rigor with practical implementation.
Reva Johnson, Ph.D., is an Associate Professor of Mechanical Engineering and Bioengineering at Valparaiso University's College of Engineering. She holds a B.S. from Valparaiso University and M.S. and Ph.D. in Biomedical Engineering from Northwestern University. Her research focuses on human-machine interfaces, prosthesis design, and rehabilitation engineering, with an emphasis on improving adaptive motor control and haptic feedback systems for prosthetic users. She has collaborated with Valpo's athletic programs to study fatigue and recovery in athletes using wearable sensor data, leading to personalized training plans. Johnson has advised students on innovative projects, such as a haptic video game for rehabilitation therapy. She is affiliated with the American Society of Engineering Education and the IEEE Engineering in Medicine and Biology Society. Education: B.S. Valparaiso University; M.S. and Ph.D. Northwestern University Courses Taught: Computer Programming for Mechanical Engineers, Human-Machine Interfaces, Mechanisms Her research integrates biomechanics, neural engineering, and human movement science to address challenges in prosthetic control and rehabilitation. Recent work includes analyzing EMG signals for closed-loop prosthetic systems and developing haptic feedback devices to enhance user interaction. Collaborations with athletic teams have explored wearable technology for optimizing training regimens. Johnson has published extensively on motor adaptation in amputee populations and has mentored students in interdisciplinary projects combining engineering and healthcare. Her lab focuses on translating bioengineering innovations into clinical and real-world applications.
Fiona Fui-Hoon is a Professor of Information Systems at the School of Computing and Information Systems , Singapore Management University . Her research focuses on Human-Computer Interaction (HCI) , Digital Transformation , and Generative AI Governance . Education: PhD in Information Systems, University of British Columbia (1997) Her work bridges neuroscience and behavioral analytics through EEG-based studies on flow experience in gaming , while addressing AI ethics in privacy, fake news, and metaverse applications. Recent publications emphasize digital risk assessment , collaborative systems , and gamification in enterprise software . She mentors PhD candidates Mohamed Dhameem and Wu Young Jiaqi , and her expertise spans digital business , human-machine systems , and strategic IT management .
Inès Di Loreto is an Associate Professor in Computer Science at the University of Technology of Troyes (UTT), holding an HDR (Habilitation à diriger des recherches) from Paul Sabatier University (2019). Previously, she worked at the Norwegian University of Science and Technology (NTNU) before joining UTT in 2013. She earned a Master's in Philosophy (Università degli Studi di Milano, 2002) and a PhD in Computer Science (Università degli Studi di Milano, 2010). Her research focuses on the role of the body and senses in technology-mediated learning, with specializations in disability inclusion, cultural heritage, and crisis management. Key research areas include Human-Computer Interaction (HCI), sustainable computing, and participatory design methodologies. She leads projects such as SmartArt , co-designing accessible museum experiences with visually impaired communities. Her work bridges theoretical frameworks (e.g., cultural computing, enaction) with practical applications in health, education, and heritage sectors. Inès is affiliated with the LIST3N laboratory and Tech-CICO team, collaborating on interdisciplinary projects. Her recent publications address sustainability in digital systems, crisis management training via mixed-reality games, and accessibility in cultural spaces. She actively contributes to conferences like IHM, ECSCW, and IEEE PervasiveHealth, emphasizing ethical and inclusive technology design.
FH-Prof. Dr. Markus Wagner is a full-time Professor at St. Pölten University of Applied Sciences, specializing in Industry 4.0, Data Visualization, and Cybersecurity. He holds a Dr. techn. from TU Wien (2017), an MSc in Game Engineering and Simulation from Technikum Wien (2013), and a BSc in Industrial Simulations from FH St. Pölten (2011). He leads the Josef Ressel Center for Knowledge-Assisted Visual Analytics for Industrial Manufacturing Data and serves as the Continuing Education Coordinator for Media and Digital Technologies. His roles include course leadership in programs like Agricultural Management and Technology, Data Intelligence, and UX Development. Research focuses on Visual Analytics , Cybersecurity , and Human-Computer Interaction , with notable contributions to knowledge-assisted systems for malware analysis, industrial data visualization, and second-screen applications. Projects include the Industrial Data Lab , SENSITRACK , and KAVA-Time . He is a member of the University’s board (2023–2026) and contributes to military ICT expertise at the BMLV. Key projects include developing tools for air traffic control visualization, privacy-aware IoT systems, and virtual reality driving simulations. His work bridges academic research with industrial applications, emphasizing user-centered design and cross-platform solutions.
Patrick LeMieux is an Associate Professor in the Department of Cinema and Digital Media at the University of California, Davis, within the College of Letters and Science. He is a media artist, game designer, and electronic musician whose work explores the intersections of game studies, media theory, and digital art. His creative and scholarly practice investigates the materiality of technical media, community histories of play, and the politics of digital culture. Education: Ph.D. in Media Arts and Sciences, Duke University M.F.A. in Digital Media Art, University of Florida, Gainesville B.E.D. in Visualization Science, College of Architecture, Texas A&M University LeMieux's research centers on game studies, media theory, audio production, and artmaking. He examines how games function beyond entertainment—engaging in metagaming, modding, and alternative interfaces. His work often critiques the boundaries of games, exploring speedrunning, esports, modular synthesis, and installation art. He is particularly interested in the social and political dimensions of play, as seen in projects like the Octopad and True Blue . His recent publications and artworks reflect a deep engagement with digital culture, from algorithmic manipulation of image search to reimagining classic games as collaborative experiences. Themes across his work include accessibility, media archaeology, and the material practices of digital media. His co-authored book Metagaming is a foundational text in critical game studies. Scientific Awards: No formal awards listed in the text. LeMieux has advised and mentored students through courses such as CDM 198 and TCS 198 (Modding), where students engage in hands-on media experimentation. He has secured project visibility through exhibitions and conferences rather than traditional grants. His collaborative work with Stephanie Boluk highlights his interdisciplinary approach. Labs and Teams: He collaborates with Stephanie Boluk on metagames and publications. He has exhibited with collectives such as Control Alt Play and alt.ctrl.gdc, indicating active participation in experimental game communities. His lab-like practice involves hardware modding, software development, and gallery installations, often centered in the Art Building at UC Davis.
