Matthew Louis Mauriello is an Assistant Professor in the Department of Computer and Information Sciences at the University of Delaware , where he directs the Sensify Lab . He holds a PhD in Computer Science from the University of Maryland (2018) and completed postdoctoral work at Stanford University (School of Medicine, 2020; School of Public Policy & Environmental Engineering Department, 2019). Research interests span Human-Computer Interaction (HCI), Ubiquitous Computing, and User-Centered Design with applications in: Sustainability Human-Building Interaction Wearable Technology Personal Informatics Educational Game Design Mental Health Interventions Recent publications highlight trends in stress monitoring (skin-like biosensors, workplace wellbeing), energy auditing (thermography systems), and educational technology (block-based programming tools for teachers). His work appears in ACM CHI, ACM Human-Computer Interaction, and Building and Environment. Scientific awards include: Best Paper Honorable Mention, CHI 2016 Best Paper Honorable Mention, CHI 2015 Best of WebSci'18 Teaching at University of Delaware encompasses courses like Educational Game Design Operating Systems Advanced Web Technologies Computing for Social Good with a focus on project-based learning and systems thinking.
Kevin Jamieson is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering and an Adjunct Professor in the Department of Statistics at the University of Washington . His academic journey includes a B.S. (2009) , M.S. (2010) , and Ph.D. (2015) in electrical engineering from the University of Washington, Columbia University, and University of Wisconsin–Madison respectively. He completed a postdoc at UC Berkeley's AMP Lab before joining UW in 2017. Ph.D., Electrical Engineering, University of Wisconsin–Madison (2015) M.S., Electrical Engineering, Columbia University (2010) B.S., Electrical Engineering, University of Washington (2009) Jamieson's research lies at the intersection of interactive machine learning , active learning , and sequential decision making . His work focuses on: Adaptive sampling strategies in multi-armed bandits and reinforcement learning (RL) Developing instance-dependent optimal algorithms that adapt to problem difficulty Applications in robotics , human perception studies , and hyperparameter optimization Representation learning for large models and experimental design frameworks His 15 most recent publications (2025-2022) demonstrate expertise in bandit theory , contextual RL , and game-theoretic learning . Notable trends include sample-efficient optimization , adaptive A/B testing , and sim-to-real transfer in robotics. Jamieson has received: NSF CAREER award for foundational contributions Amazon Faculty Research award for innovation in learning systems He actively recruits graduate students and postdocs , emphasizing collaboration in areas like: Multi-agent RL and strategic actor learning Empirical process suprema and adaptive sampling theory Applications in robotics , large language model finetuning , and biomedical data analysis Jamieson leads the Washington AI Lab (WAIL) and develops open-source learning systems like the NEXT framework for real-world adaptive data collection. He serves as co-PI for the Institute for the Foundations of Data Science (IFDS) and co-organizes the Distinguished Seminar in Optimization & Data .
David Stillwell serves as Professor of Computational Social Science at Cambridge Judge Business School and Academic Director of The Psychometrics Centre, University of Cambridge. His research leverages big data to understand human psychology and behavior, with significant contributions in personality prediction from digital footprints and personalized advertising applications. His educational background includes: BSc in Psychology from the University of Nottingham (2007) MSc in Research Methods from the University of Nottingham (2008) PhD in Decision Making from the University of Nottingham (2012) Dr. Stillwell's research centers on computational social science and psychometrics, pioneering the myPersonality Facebook application that collected data from over 6 million users. His work demonstrates computers can predict personality as accurately as spouses, reveals psychological targeting's advertising effectiveness, and establishes links between personality-matched spending and life satisfaction. He also explores linguistic honesty markers through profanity analysis and personality-based dating patterns. His recent publications (2019-2025) reveal a strong trajectory toward AI evaluation using psychometric frameworks, particularly in medical and general-purpose AI assessment. Key themes include fairness metrics in language models, crisis emotional responses through social media, and computational personality recognition - demonstrating consistent innovation at the psychology-technology intersection. He has received significant recognition: Top 10 most influential papers of 2013 by Altmetric Nieman Journalism Lab highlight of 2013 Named in 'top 30 thinkers under 30' by Pacific Standard Magazine Dr. Stillwell maintains active industry engagement through consultancy with Barclays, Hilton, and Ubisoft on projects spanning computer-adaptive testing systems to interactive experiences like Predictive World for Watch Dogs 2. His policy impact is substantial, with citations by the European Data Protection Supervisor, World Bank, and multiple national governments, leading to speaking engagements at the European Parliament and Bank of England. As Academic Director of The Psychometrics Centre, he leads a global hub for advancing psychological assessment through innovative methods including Concerto open-source software, collaborating with organizations ranging from the European Commission to major corporations on psychometric applications in people analytics and digital behavior.
Daniel Cooney is an Assistant Professor in the Department of Mathematics at the University of Illinois Urbana-Champaign. He holds additional affiliations as an Affiliate at the Carl R. Woese Institute for Genomic Biology. His research focuses on applying partial differential equations (PDEs), dynamical systems, and stochastic processes to study evolutionary dynamics, particularly in biological and social systems. Key themes include multilevel selection, evolutionary game theory, and the emergence of cooperative behavior. Cooney earned his PhD in Applied and Computational Mathematics from Princeton University, advised by Simon Levin, and completed a postdoc as a Simons Fellow in Mathematical Biology at the University of Pennsylvania. His work bridges theoretical mathematics with applications in ecology, epidemiology, and social sciences. Recent publications explore topics like altruistic punishment in cultural systems, classroom-turnover dynamics, and protocell evolution. He actively participates in academic outreach, co-organizing conferences such as the AMS Special Session on Mathematics of Infectious Disease and the SIAM Minisymposium on Social-Ecological Systems. His research has been published in high-impact journals including *Proceedings of the National Academy of Sciences* and *Bulletin of Mathematical Biology*.
Prof. Dr. Gülşen Eryiğit is a Professor at Istanbul Technical University within the Faculty of Computer and Informatics , Department of Artificial Intelligence and Data Engineering . She founded and directs the ITU Natural Language Processing Group , Turkey's leading team in Turkish-language NLP, and serves as Senior Action Editor for ACL RR , Director of ITU TÖMER (Turkish Language Teaching Center), and Co-Chair of the EU UniDive Cost Action WG3. Education: PhD in Computer Engineering from ITU (2007), MSc and BSc from ITU and Marmara University Research: Focuses on Natural Language Processing for Turkish, including dependency parsing , coreference resolution , multiword expressions , and language education technology Her recent work involves multilingual transfer learning , LLM applications for Turkish text simplification, and gamification for morphology education. She has received prestigious awards like the Siemens Excellence Award and TÜBİTAK's Above Threshold Award . Her research has produced 65+ publications and 29+ projects funded by EU, TÜBİTAK, and industry partners. Scientific Awards: Siemens Excellence Award (2007) Above Threshold Award (TÜBİTAK, 2015) Certificate of Appreciation (EU 7th Framework, 2012) Thank You Plaque (ITU, 2017) The ITU NLP Group under her leadership has developed Turkey's first licensed NLP software exported internationally. She collaborates with European institutions through COST actions and participates in ACL, CoNLL, and LREC conferences. Her lab focuses on language technology for Turkish , including sign language processing and social media normalization.
Peter A. Flach is Professor of Artificial Intelligence at the Intelligent Systems Laboratory, School of Computer Science, University of Bristol, where he has been faculty since 1997 and was promoted to Professor in 2003. He currently directs the UKRI AI Centre for Doctoral Training in Practice-Oriented Artificial Intelligence and serves as Vice-President of the European Association for Data Science (EuADS), having previously served as its President. His research centers on rigorous evaluation and improvement of machine learning systems, with seminal contributions to classifier calibration (including Beta Calibration and Precision-Recall-Gain curves), explainable AI frameworks, and data science methodology. He pioneered the extension of CRISP-DM to data science trajectories and developed Explainability Fact Sheets for systematic assessment of XAI approaches. His work bridges theoretical foundations with practical deployment in real-world systems. Analysis of his recent publications reveals a dominant focus on interpretable and reliable machine learning, with strong emphasis on performance evaluation metrics, model calibration techniques, and human-centered explainability. His research increasingly addresses healthcare applications through projects like SPHERE and clinical decision support systems, while maintaining core contributions to fundamental ML theory. His scientific recognition includes prestigious fellowships: Fellow of the European Lab for Learning and Intelligent Systems (ELLIS) Fellow of the European Association for Artificial Intelligence (EurAI) Professor Flach has secured major research funding including UKRI Centre for Doctoral Training grants and EU network funding (TAILOR). He leads extensive collaborations across Engineering, Population Health Science, and international institutions (Monash University, Polytechnic University of Valencia), plus over 20 industry partners in the Practice-Oriented AI CDT including LV= and QinetiQ. His work with the SPHERE project demonstrates successful translation of AI research into residential healthcare settings. He leads the Intelligent Systems Laboratory at Bristol, which develops influential open-source tools including the FAT Forensics Python toolbox for algorithmic fairness and the Explainability Fact Sheets framework. His lab maintains strong connections with the European AI community through ELLIS and EurAI, positioning Bristol as a hub for human-centered and methodologically rigorous AI research.
Lauren A. Delisio is an Associate Professor of Special Education at Rider University's Department of Teacher Education. She has taught graduate and undergraduate courses in special education, inclusive practices, and assistive technology since 2015. Ph.D. in Exceptional Student Education (2015, University of Central Florida) Graduate Certificate in Autism Spectrum Disorders (2012, University of Central Florida) M.S. in Teaching (2005, Pace University) B.A. in Communications (2000, Rider University) Her research focuses on universal design for learning (UDL) , assistive technology , and inclusive education practices for students with autism spectrum disorders (ASD), attention deficit hyperactivity disorder (ADHD), and intellectual disabilities. She has explored trauma-informed instruction, STEM accessibility, and evidence-based practices in inclusive classrooms. Her recent publications analyze UDL implementation, video prompting for independence, and pandemic impacts on inclusive education. She has received grants through the Department of Education's Office of Special Education Programs (OSEP) for Project LEAD and served as a doctoral intern with OSEP. Delisio has contributed to STEM research via video game integration for students with disabilities and supported alumni engagement through data collection. She collaborates with service providers, universities, and policymakers to improve educational outcomes for neurodiverse learners.
Mark de Rond is Professor of Organisational Ethnography at Cambridge Judge Business School and Fellow of Darwin College, University of Cambridge. His work focuses on immersive ethnographic studies of human behavior in extreme contexts including war zones, high-stakes sports, and controversial social movements, revealing how individuals navigate challenging circumstances through compromise and sensemaking. His educational background includes a DPhil from the University of Oxford alongside advanced degrees in management and economics, photojournalism, documentary photography, biography, creative nonfiction, and prose fiction. This multidisciplinary training informs his unconventional methodological approach. De Rond's research centers on extreme context ethnography, examining how pressure-cooker environments expose fundamental organizational dynamics. His work spans military medicine (Camp Bastion fieldwork), elite sports (Cambridge Boat Race), Amazon river expeditions, and controversial practices like paedophile hunting. Key contributions explore negotiation, conflict resolution, serendipity, institutional persistence, and the emotional toll of fieldwork, often employing innovative methods like enactive ethnography and linguistic analysis of digital communities. His recent publications reveal a growing focus on digital vigilantism and the societal implications of extreme practices, with increasing interdisciplinary reach across organizational studies, criminology, medical anthropology, and sociology. The work demonstrates methodological creativity through linguistic analysis of Facebook groups, embodiment studies in extreme environments, and dream-based reflexive techniques. Scientific recognition includes: BEST ARTICLE AWARD FOR 2016 Favorite MBA Professor honors from Poets & Quants (2021, 2022) Guinness World Record for first unsupported Amazon row De Rond advises MBA students and delivers executive education to top law firms (Slaughter and May, Allen & Overy), professional services (McKinsey, KPMG), corporations (Sky, BT, Diageo), and NGOs (UNICEF, NHS). His negotiation training from Harvard Law School informs both academic work and university mediation practice. Current research involves collaborative teams studying paedophile hunting (featured in Sundance-nominated documentary Predators ) and high-performance sports organizations, with fieldwork requiring deep immersion in challenging environments. His research methodology involves embedded collaboration with diverse teams including medical personnel in conflict zones, elite rowers, and controversial activist groups, often pushing methodological boundaries through photojournalism and creative nonfiction approaches.
Dr. Bin Tang is a Professor in the Department of Computer Science at California State University, Dominguez Hills. He holds a Ph.D. in Computer Science from Stony Brook University (2007) and dual M.S. degrees in Computer Science and Materials Science from the same institution. His research focuses on algorithmic solutions for data placement in networks, with applications in robotic sensor systems and cloud data centers. He has led multiple NSF-funded projects including 'Edge-Based Approach to Robust Multi-Robot Systems' and 'Optimal Resource Allocation in Policy-Driven Data Centers'. Dr. Tang mentors students in research competitions and has supervised numerous graduate theses. He teaches courses in operating systems, algorithms, computer networks, and cloud computing.
Golan Levin is Professor of Electronic Art at Carnegie Mellon University's School of Art, with courtesy appointments in the School of Design, School of Architecture, School of Computer Science, and Entertainment Technology Center. From 2009 to 2022, he served as Director and Co-Director of CMU's Frank-Ratchye STUDIO for Creative Inquiry, a laboratory dedicated to supporting atypical, anti-disciplinary research at the intersection of arts, science, technology, and culture. Levin's research spans interactive art, digital fabrication, information visualization, and generative design. He explores the critical potential of visualization, generative computation for expressive form, and how abstraction connects to realities beyond language. His practice engages interactive gestural robotics, nonverbal interaction aesthetics, and tactical applications of personal digital fabrication through responsive artifacts and media provocations that highlight human-machine relationships. His publications reveal consistent innovation in real-time audiovisual systems, interactive fabrication interfaces, and pedagogic tools for artists. Key trends include slit-scan video techniques, tangible augmented-reality performance, and noise-based visualizations, demonstrating his commitment to expanding human action vocabulary through digital media while bridging artistic expression with computational systems. Levin's work has received significant recognition: Permanent collection inclusion at Museum of Modern Art (MoMA) Whitney Biennial exhibition "50 Designers Shaping the Future" by Fast Company (2012) Competitive grants from National Endowment for the Arts, National Endowment for the Humanities, Creative Capital, and Rockefeller MAP Fund As an educator, Levin teaches "studio courses in computer science" on interactive art, experimental capture, and generative design, emphasizing computation as a medium for critical inquiry. His research funding from major cultural institutions supports interdisciplinary exploration at the arts-technology nexus. The Frank-Ratchye STUDIO for Creative Inquiry, which he directed for 13 years, remains a vital hub for anti-disciplinary collaboration, continuing his legacy of fostering creative agency through technology-infused artistic practice.
Florian 'Floyd' Mueller is a Professor of Future Interfaces at Monash University in Melbourne, Australia, where he directs the award-winning Exertion Games Lab within the Department of Human-Centred Computing (ranked among the top 20 HCI departments globally). Previously, he held positions at RMIT University, Stanford, University of Melbourne, Microsoft Research, MIT Media Lab, Fuji-Xerox Palo Alto Labs, Xerox Parc, and Australia's CSIRO. Mueller is a member of the prestigious ACM SIGCHI Academy, an honorary group recognizing leaders who have made substantial contributions to Human-Computer Interaction (HCI). Professor Mueller's research focuses on the intersections between technology, the human body, and play. He originated the concept of "Exertion Interface," arguing that we should not just design "easy-to-use" interactions when "hard-to-use" interactions can also be beneficial. His work spans movement-based interactions, whole-body interfaces, uncomfortable interactions, somaesthetics, and exertion games. Mueller's research methodology often employs research through design, design ethnography, and autoethnography to explore these novel interaction paradigms, incorporating mixed-reality, augmented reality, virtual reality, electronic muscle stimulation, biosensors, wearables, and drones. His recent publications demonstrate a continued focus on bodily interactions and human-computer integration, with particular emphasis on emerging subfields like WaterHCI and SportsHCI, brain-computer interfaces, and gustosonic (taste and sound) experiences. Mueller's work has evolved from foundational exertion game concepts to more sophisticated explorations of human-computer integration where technology becomes seamlessly woven into the fabric of human experience. Professor Mueller's contributions have been widely recognized with numerous awards including: Inaugural honouree of the Australian Design Centre's Design Honours Tall Poppy award for "intellectual and scientific excellence" 10 "Best Paper Honorable Mentions" (top 5%) from premier HCI conferences 2 "Best Paper" awards (top 1%) at CHI PLAY and CHI Shortlisted for the European Innovation Games Award (alongside Nintendo's WiiFit) Nokia Mindtrek Ubimedia Award Mueller has successfully secured some of Australia's largest and most competitive research grants, achieving a remarkable 14% success rate on Australian Research Council Discovery Project applications. He has served as General co-Chair for CHI PLAY'18 and CHI'20, becoming the first Australian-based researcher to spearhead HCI's highest-ranked publication outlet, and is currently General co-Chair for CHI'24. He is Associate Editor for tier A journals including Elsevier's IJHCS (International Journal of Human-Computer Studies) and ACM's IMWUT (Interactive, Mobile, Wearable and Ubiquitous Technologies). As director of the Exertion Games Lab, Mueller leads a research team whose innovations have been experienced by over 20,000 users across 3 continents and featured on the BBC, ABC, Discovery Science Channel, and Wired magazine. The lab has produced groundbreaking work in bodily interfaces, co-founding the CHI PLAY conference series and establishing new research directions in SportsHCI and WaterHCI through recent "Grand Challenges" papers. Mueller's lab continues to push boundaries with projects exploring brain-to-brain interfaces, lucid dreaming induction, and novel gustosonic experiences.
Courtney Rivard is an Assistant Professor in English & Comparative Literature at the University of North Carolina, Chapel Hill, with a secondary appointment at the School of Data Science & Society. She directs the Digital Literacy and Communications (DLC) Lab, focusing on digital humanities, critical game studies, and archival rhetorics. Her research bridges rhetoric, digital methods, and social justice, examining how archives and digital tools shape narratives around race, gender, and national identity. Dr. Rivard holds a Ph.D. from the University of California, Santa Cruz (2012). Her book Layered Lives (2022) combines archival and computational methods to analyze Depression-era life histories. She has secured grants from NEH, ACLS, and UNC initiatives, supporting projects like the Critical Gaming Initiative and oral history archives on PFAS contamination. Her teaching emphasizes digital literacy and public engagement, including courses on data rhetoric, game studies, and multimodal composition. The DLC Lab hosts the Greenlaw Gameroom, a game-based classroom funded by Lenovo, fostering critical pedagogies through play. Research Labs: Digital Literacy and Communications Lab, Greenlaw Gameroom Grants: NEH, ACLS Digital Extension Grant, UNC Arts & Humanities Fellowships Key Projects: Critical Gaming Initiative, Photogrammar collaboration, “Forever Chemicals” oral history archive
Natasha Zhang Foutz is a Research Associate Professor of Commerce at the McIntire School of Commerce, University of Virginia . Her work bridges Artificial Intelligence , Marketing Analytics , and Consumer Behavior , with a focus on Digital Content and Location-Based Services . She teaches Marketing Analytics , Entertainment Marketing , and Marketing Models across undergraduate to PhD programs. Ph.D. in Marketing, Cornell University M.S. in Statistics & Marketing, Cornell University B.S. in Economics, Fudan University Her research investigates: AI-Powered Entertainment Marketing : Using machine learning to analyze consumer behavior in digital content. Privacy and Ethical Data Use : Studying consumer trade-offs between privacy and public good, especially during crises like the COVID-19 pandemic . Location Analytics : Leveraging mobile data for urban economics, real estate, and emergency response modeling (e.g., MobiRescue for disaster logistics). Prosocial Consumer Behavior : Exploring how social capital and diversity drive innovation and policy compliance. Recent publications highlight trends in Reinforcement Learning for crisis management, Privacy-Preserving AI , and Freemium Pricing Models in digital markets. Her awards include the 2025 UVA Outstanding Researcher Award and the 2018 Mallen Award for motion picture studies. Natasha serves as an Area Editor for multiple journals, emphasizing Data Science in marketing. She has advised numerous PhD students and collaborated on projects analyzing Big Data in consumer mobility and platform economics.
Oliver Grau is a Chair Professor for Image Science and a leading figure in Media Art research, affiliated with Hong Kong Baptist University (Academy of Visual Arts, Distinguished Fellow since 2023) and Danube University Krems (Chair Professor for Image Science from 2005–2022). He founded the Archive for Digital Art (ADA) and the international MediaArtHistories Conference Series , with key roles at institutions across Germany, Austria, and Australia. His work bridges art, science, and technology, focusing on immersive images, digital heritage, and emotion research. Key Positions: Director of ADA (since 2000), Founding Director of MediaArtHistories Conference Series (since 2005), PI for high-resolution digitization of the Goettweig Graphic Print Collection (2005–2017). Research Grants: Funded by DFG, Austrian Science Fund, Australian Research Council, VW Foundation (total 8.3 Mio EUR), and Erasmus+ Joint Master program (5.4 Mio EUR). Research Interests: Grau’s scholarship spans the history of media art, telepresence, artificial life, emotion research, and digital humanities. His work emphasizes the evolution of immersive visual experiences from historical art forms to digital media, integrating theoretical and practical approaches. Article Trends: His recent publications focus on digital art’s sociopolitical dimensions, archiving challenges in the digital era, and cross-disciplinary methodologies. Themes include media art conservation, web-based tools for digital humanities, and the intersection of artistic expression with contemporary global issues like climate change and surveillance. Scientific Awards: Distinguished Fellow at Hong Kong Baptist University (2023) Science Award of Lower Austria (2019) Honorary Doctorate from University of Oradea (2014) Invitations to G-20 summit, Olympic Games, and international symposia Labs & Teams: He leads the Archive for Digital Art, managing a global team of 28 staff, and co-founded the Erasmus+ Joint Master in Media Arts Cultures. His projects emphasize collaborative archiving tools (e.g., Web 2.0/3.0 archives) and large-scale digitization initiatives.
Dr James Herbert-Read is an Associate Professor and Whitten Lecturer in Marine Biology at the Department of Zoology, University of Cambridge. He serves as Deputy Head of Department (Postgraduate Education) and leads the Marine Behavioural Ecology Group. His research focuses on understanding how animals, particularly marine organisms, collect and process information from their environments to make behavioral decisions, with emphasis on social interactions, adaptation mechanisms, and ecological constraints. His group employs theoretical frameworks, controlled experiments, and quantitative field studies to investigate behavioral diversity in marine species. Key themes include collective behavior, predator-prey dynamics, camouflage strategies, and the impacts of environmental stressors on animal decision-making. Recent publications highlight work on lionfish vocalization mechanisms, cuttlefish camouflage, citizen science applications in marine research, and behavioral responses to visual and acoustic noise. Scientific awards and affiliations include: Whitten Lecturer in Marine Biology Associate Professor, University of Cambridge He has supervised research projects on topics such as: Social attraction in invasive fish species Evolution of coordinated movement Neurophysiological basis for leadership in shoals Maternal effects on offspring exploration
