Dr. Janis Nötzel is a senior researcher at the Chair of Theoretical Information Technology (Technische Universität München) and leads his independent Emmy Noether research group. Previously, he held a postdoctoral position at Universitat Autónoma de Barcelona and contributed to 5G practical implementations at TU Dresden's 5G Lab. His research spans quantum information theory, physical layer security, and machine learning applications. Key focuses include Quantum channel capacities under adversarial conditions Entanglement-assisted communication Quantum software frameworks (QuNetSim, QuReed) Interplay between classical and quantum communication Security analysis for 6G networks Resource optimization in quantum systems Recent publications (2023-2025) showcase innovations in Quantum satellite communication architectures Hybrid quantum-classical clustering algorithms Photonic processor instability modeling Covert capacity of compound channels Quantum key distribution resilience Free-space Bessel beam communication He actively collaborates with 6G-life research hub and contributes to quantum network simulation tools. Grants include funding from DFG (Leibniz Program), BMBF (6G-life, Q.Link.X), and StMWi (6G Zukunftslabor Bayern).
Mark S. Ackerman is the George Herbert Mead Collegiate Professor of Human-Computer Interaction at the University of Michigan, Ann Arbor. He holds dual appointments in the School of Information and the Department of Electrical Engineering and Computer Science. His research focuses on Human-Computer Interaction (HCI), particularly Computer-Supported Cooperative Work (CSCW), exploring expertise sharing, collaborative systems, online communities, and medical informatics. He is affiliated with the SocialWorlds research group, whose projects and publications detail his work. Education: Mark holds degrees from the University of Chicago, Ohio State University, and MIT. Prior to academia, he led development of the first home banking system, designed Billboard Top-10 Atari 2600 games, and contributed to the X Window System's user-interface toolkit. Recognition: He is a member of the CHI Academy and an ACM Fellow. Current roles include no student or postdoc recruitment for AY 25-26. He maintains physical offices in both the School of Information (North Quad) and EECS (Beyster Building). Research Themes: His work spans misinformation dynamics, collaborative environments, and pervasive technologies. The SocialWorlds group's projects emphasize real-world applications of CSCW principles.
Eleanor O'Rourke is an Associate Professor at Northwestern University with joint appointments in the Department of Computer Science and the Learning Sciences, part of the McCormick School of Engineering. She co-directs the Delta Lab, focusing on interdisciplinary research in Human-Computer Interaction, Artificial Intelligence, and Learning Sciences. Her work examines how learning environments can foster motivation and effective practices in computer science education, supported by grants from NSF and Google. Educated at the University of Washington (PhD, MS in Computer Science & Engineering) and Colby College (BS in Computer Science and Spanish), her research employs mixed methods, including design-based research and grounded theory, to study student motivation, affective responses during programming, and AI-driven interventions. Notable contributions include tools like Ply and Isopleth , which support novice web developers, and studies on student self-assessment biases and growth mindset incentives. Her work has been recognized with multiple Best Paper Awards at ACM conferences, including ICER 2024 and SIGCSE 2022. She teaches courses such as Transformative AI and the Learning Sciences and Design of Learning Environments , and advises a diverse cohort of PhD students and undergraduates. The Delta Lab’s collaborative approach emphasizes innovation in educational technology and human-centered design.
Dr. Karen Cochrane is an Assistant Professor at the University of Waterloo, specializing in Human-Computer Interaction (HCI) with a focus on wearable and tangible computing for mental health and accessibility. Her research integrates soma design, autoethnography, and design fiction to address the needs of underrepresented communities, particularly those with disabilities. Key projects include developing assistive technologies for queer/crip identities, accessible gaming wearables, and tactile interfaces for sensory exploration. She explores embodied experiences through multidisciplinary approaches, blending traditional craft practices with modern computational tools. Her work prioritizes participatory design methodologies, collaborating with occupational therapists, disabled communities, and neurodivergent individuals to co-create inclusive technologies. Recent innovations include VARitouch (a haptic feedback device), Breathing Scarf (for emotional regulation), and adaptive switches for children with motor disabilities. Her research extends into sensory narratives, exploring how fabric and data can articulate bodily experiences through projects like Sensory Data Dialogues and Queer/Crip Body Mapping. While no formal grants or awards are listed, her publications reflect a strong focus on ethical technology, accessibility, and embodied interaction. Current projects emphasize the intersection of wearable tech with identity expression, mindfulness practices, and neuromotor rehabilitation. She actively designs prototypes that bridge clinical needs with creative technology solutions, though specific lab affiliations or team collaborations are not detailed in available texts.
Tingliang Huang holds concurrent roles as the Amazon Distinguished Professor of Business Analytics at the University of Tennessee's Haslam College of Business and Honorary Professor at the UCL School of Management. He earned his PhD from Northwestern University's Kellogg School of Management. His research focuses on business analytics, AI-driven strategies, supply chain optimization, and behavioral operations, with notable contributions to Marketing Science, Management Science, and Production and Operations Management. Affiliations: Amazon Distinguished Professor, Haslam College of Business, University of Tennessee Honorary Professor, UCL School of Management Former tenured Associate Professor at Boston College's Carroll School of Management Education: PhD in Management, Kellogg School of Management, Northwestern University (2011) M.S. and B.S. from University of Science and Technology of China (USTC) Research Interests: Huang’s work bridges analytics and operations, exploring topics like opaque selling, bounded rationality in consumer decisions, supply chain dynamics, and sustainable operations. He has pioneered frameworks for probabilistic selling and dynamic pricing under uncertainty. His interdisciplinary approach integrates behavioral economics and big data analytics. Publications: Over 20 peer-reviewed articles in top journals, emphasizing service systems, supply chain strategy, and marketing-operations interfaces. Recent work explores AI's societal impacts and algorithmic targeting in vertical markets. Awards: 2025 Vallett Family Outstanding Researcher Award 2018 POMS Wickham Skinner Early Career Award 2015 POMS Best Paper Award Multiple Meritorious Service Awards (M&SOM, Management Science) Editorial Roles: Senior Editor at Production and Operations Management, Associate Editor at Manufacturing & Service Operations Management, Decision Sciences, and others. He also serves on editorial review boards for leading journals. Teaching & Mentorship: Award-winning educator recognized as Carroll School Teaching Star (2021). Advises doctoral students at UCL, UTK, and Chinese institutions, with placements at top schools like George Mason University and USTC. Labs & Teams: Leads the Business Analytics PhD Program at UTK and collaborates on AI ethics research through cross-institutional projects.
John R Anderson is the Richard King Mellon University Professor of Psychology and Computer Science at Carnegie Mellon University (CMU), affiliated with the Department of Psychology within the Dietrich College of Humanities and Social Sciences. His research focuses on understanding higher-level cognition, particularly mathematical problem-solving, through the development of the ACT-R cognitive architecture—a computational framework simulating human cognitive processes. This architecture integrates behavioral, neural, and educational data to model learning and decision-making. Anderson’s work bridges cognitive science, neuroscience, and educational technology. He investigates how brain imaging (e.g., fMRI, EEG) can reveal the temporal dynamics of cognitive processes and improve instructional methods. His research emphasizes analyzing brain activity time courses to uncover underlying mechanisms of problem-solving and skill acquisition. Key Research Themes: Cognitive architectures, neural correlates of learning, computational models of memory, and intelligent tutoring systems. Notable Contributions: Development of the ACT-R architecture, integration of neuroimaging with cognitive modeling, and studies on skill transfer and learning strategies. Anderson’s publications include seminal books like Cognitive Psychology and Its Implications and How Can the Human Mind Occur in the Physical Universe? His work has advanced understanding of associative memory, strategic decision-making, and the application of cognitive models in educational technology. His lab, the ACT-R Research Group, collaborates across disciplines to model complex cognitive tasks and their neural foundations. Current projects analyze real-time brain activity to refine educational interventions and improve human-machine interaction.
Benjamin Grimmer is an Assistant Professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University. He is affiliated with the Mathematical Institute for Data Science (MINDS) and the Data Science & AI Institute. His research focuses on designing and analyzing algorithms for continuous optimization, particularly in nonconvex, nonsmooth, and adversarial settings. Grimmer’s work bridges classical optimization theory and modern machine learning challenges, leveraging computer-assisted proof techniques to advance algorithmic foundations. He earned his PhD in Operations Research from Cornell University, advised by Jim Renegar and Damek Davis. His doctoral work was supported by a National Science Foundation fellowship. Grimmer has held research positions at Google and the Simons Institute, exploring adversarial optimization and continuous-discrete optimization interfaces. His current work is supported by the Air Force Office of Scientific Research and a 2024 Alfred P. Sloan Fellowship. Research interests include algorithm design for stochastic/nonconvex/nonsmooth optimization, computer-aided proof methods, and meta-optimization tools like stepsize schedules. His recent studies, including work on gradient descent acceleration via long steps, were highlighted in Quanta Magazine (2023). Education: PhD in Operations Research, Cornell University (advisor: Jim Renegar and Damek Davis) Awards: Alfred P. Sloan Fellowship in Mathematics (2024) National Science Foundation Graduate Fellowship (PhD support) Dr. Grimmer advises a research group including PhD candidates Ning Liu, Thabo Samakhoana, Alan Luner, Yue Wu, and others. His lab explores optimization algorithms through both theoretical and applied lenses, collaborating closely with industry and academic partners.
Brad Knox is a Research Associate Professor in the Department of Computer Science at the University of Texas at Austin . His work bridges machine learning, human-computer interaction, and computational cognitive science, with a focus on developing systems that learn from human feedback. Key research areas: Reinforcement Learning, Human-AI Interaction, Reward Design, Autonomous Systems Notable contributions: TAMER framework for human-guided learning, empirical studies on reward misdesign, and human preference modeling for autonomous agents Research Trends : His recent work (2023-2025) emphasizes reward alignment, safety in autonomous systems, and preference-based learning frameworks. Earlier studies (2012-2020) established foundational methods for integrating human feedback into reinforcement learning architectures and exploring behavioral signatures in decision-making. Scientific Honors : Bert Kay Dissertation Award (2013) Victor Lesser Distinguished Dissertation Award (IFAAMAS, Runner-up, 2013) NSF SBIR Grant (PI, 2016) NSF Graduate Research Fellowship (2008-2011) IEEE Intelligent Systems AI 10 to Watch (2013) Teaching & Leadership : Knox served as Principal Lecturer for MIT's Interactive Machine Learning course (2013) and held organizational roles at major conferences including Reinforcement Learning Conference (Scheduling Chair, 2025) and RLDM workshop (Co-chair, 2022).
Jan Borchers is a full professor of computer science and head of the Media Computing Group, an endowed Chair in the Computer Science Department at RWTH Aachen University. He serves as deputy member of the Faculty Council for Mathematics, Computer Science and Natural Sciences (2024-2026) and previously headed the Computer Science Department's Examination Board from 2015 until February 2025. Borchers established his research group in 2003, pioneering modern HCI academic research and teaching in Germany, and opened Germany's first Fab Lab in 2009. Borchers received his PhD 'summa cum laude' in computer science from Darmstadt University of Technology in 2000. Before joining RWTH Aachen, he held faculty positions at Stanford University and ETH Zurich. His PhD thesis, 'A Pattern Approach to Interaction Design,' became the first book to bring design patterns to HCI. His research focuses on Human-Computer Interaction with particular interest in new user interfaces for soft robotics, textile user interfaces, 3D printing and personal fabrication, augmented reality, wearable and tangible computing, interfaces for software development, deceptive patterns, and interactive guides and exhibits. He is a member of ACM, SIGCHI, SIGCHI Germany, and GI, and introduced the Interactivity format to the CHI conference in 2005. Recent publications reveal a strong emphasis on deceptive patterns/dark patterns in UI design, textile interfaces, and the impact of generative AI on creative teamwork. His work spans from fundamental research in interaction techniques to practical applications in smart homes, accessibility, and children's interfaces, with a consistent focus on usability and user-centered design. IDC 2025 Best Work in Progress: 'If They Have No Choice, They'll Accept!' CHI'25 Student Games Competition Winner: 'The Deceptive Dungeon' RWTH-Wissenschaftsnacht 2024 Best Science Slam: 'Usability: 4 Prinzipien guter User Interfaces' Multiple CHI/UIST Honorable Mentions and Best Paper awards spanning two decades Author of influential books including 'A Pattern Approach to Interaction Design' and 'Arduino In A Nutshell' Borchers has provided extensive consulting, training, and user interface design services to major clients including AirBus, Apple, ARD, Bayer, Children's Museum Boston, Daimler, Handelsblatt, OTIS, Scout24, TEDx, and Deutsche Telekom. He actively organizes the Computer Science Department's weekly Faculty Lunch since 2003 and coordinates the department's public relations and web presence since 2010. He leads the Media Computing Group, which has become a leading German lab in terms of archival publications at CHI, the top international conference in HCI. Since March 2025, he serves as faculty patron for TechLabs Aachen, a student initiative providing practical digital skills training.
Professor Jagmohan S. Raju serves as the Joseph J. Aresty Professor of Marketing at the University of Pennsylvania's Wharton School, where he also directs the Wharton Co-Sponsorship of the Indian School of Business. An internationally renowned pricing expert, he has taught extensively across Wharton's MBA, EMBA, and Executive Education programs and previously served as Vice Dean of Executive Education for six years. His academic credentials include a PhD in Business, MS in Operations Research, and MA in Economics from Stanford University, complemented by an MBA from the Indian Institute of Management Ahmedabad and a BTech in Electrical Engineering from the Indian Institute of Technology Delhi. Raju's research focuses on pricing strategy , retailing dynamics , and competitive positioning , with significant contributions to understanding private labels, coupon economics, and strategic channel management. His work bridges theoretical rigor with practical applications, frequently addressing real-world challenges in product launches and market competition through game-theoretic and empirical approaches. Recent publications reveal evolving expertise in digital-era retail challenges, particularly showrooming behavior, omnichannel competition, and the strategic implications of network neutrality. His scholarship consistently addresses the intersection of consumer psychology and corporate strategy across diverse sectors including pharmaceuticals, entertainment, and consumer goods. Fellow, INFORMS Society for Marketing Science (2017) Multiple Excellence in Teaching Awards (2012, 2011, 2009) Miller-Sherrerd MBA Core Course Teaching Award (2006) President of INFORMS Society for Marketing Science (2004) Marketing Professor of the Year at UCLA (1992) As an educator, Raju directs flagship executive programs including the General Management Program and Owner/President/CEO Program, while consulting for industry leaders like Johnson & Johnson, Medtronic, and Warner Home Video on pricing architecture and new product launches. His research grants and industry projects frequently examine category management dynamics and the strategic value of customer heterogeneity. He spearheads the Wharton-Indian School of Business partnership, fostering academic exchange and executive development initiatives that leverage his deep expertise in India's business landscape and global market dynamics.
Pavan Turaga is a Professor and Founding Director of The GAME School at Arizona State University (ASU), with a joint appointment in the School of Electrical, Computer and Energy Engineering (ECEE). They lead transdisciplinary research and education initiatives spanning gaming, esports, AI-enabled media creation, computer vision, and geometric modeling. Ph.D., Electrical Engineering, University of Maryland (2009) B.Tech., Electronics and Communication Engineering, IIT Guwahati (2004) Research focuses on integrating geometry and topology with machine learning , enabling advancements in: Computer vision for human activity recognition Generative AI for immersive media Health analytics and wearable rehabilitation systems AI ethics and pandemic prediction Key publications span CVPR (2023 spotlight paper PolyINR ), DLGC workshop (2023 best paper), and ICML (2019 work on GAN priors). Recent work explores LMMs , 3D human modeling , and AI for pandemic preparedness . Scientific accolades include: ASU Founders' Day Research Excellence (2025) NSF CAREER award (2015) CVPR 2023 Spotlight paper 2024 X-Prize (Rainforest Challenge) Directed research for students like Rajhans Singh and Ankita Shukla, securing grants from NSF , DARPA , and industry partners (Adobe, Google ATAP). Founded the Geometric Media Lab , emphasizing interdisciplinary collaborations with mathematicians, health scientists, and media artists.
T.C. Nicholas Graham is a Professor of Computer Science at Queen's University's School of Computing, specializing in Human-Computer Interaction (HCI) and gaming technology. With a Dr.-Ing. from TU Berlin (1995), M.Sc. (1988) and B.Sc. (1985) from Queen's University and the University of Toronto respectively, he has held academic roles at York University and industry positions at Namzak Labs since 2000. Research Focus : Next-generation digital games, exergames combining physical activity with entertainment, and educational games using augmented reality. His EQUIS Lab explores heart rate power-ups, nudging mechanisms, and AI-assisted accessibility solutions for motor-impaired users. Teaching : Courses in Game Architecture (CISC 326) and Advanced Game Development (CISC 877), emphasizing game engine fundamentals, physics, networking, and AI algorithms. Labs & Collaborations : Director of the EQUIS Lab , co-founder of the Software Technology Laboratory , and former Chair of IFIP Working Group 2.7 on User Interface Engineering. Notable Projects : Liberi exergame for children with cerebral palsy, GAIM Exergaming Toolkit, and Partial Automation techniques for accessible gaming. His lab actively involves PhD, MSc, and undergraduate students in both technical and applied research.
Scott MacKenzie is an Associate Professor at the Lassonde School of Engineering, York University, where he leads research in Human-Computer Interaction (HCI). He holds a Ph.D. from the University of Toronto (1992) and specializes in interaction devices, mobile computing, and human performance modeling. His work emphasizes accessibility, text entry systems, and assistive technologies. He maintains an active research group focused on advancing HCI through empirical studies and innovative design. Education: Ph.D. in Computer Science, University of Toronto, 1992 Dr. MacKenzie’s research explores how interaction techniques can enhance user performance and accessibility. Key areas include touch-based interfaces, gestural input, and systems for users with disabilities. His recent work investigates eye-tracking for wheelchair control, mid-air gesture interaction, and text entry methods for VR environments. His publications reflect a focus on practical applications of HCI principles, such as improving mobile device usability and evaluating novel input methods. Notable contributions include studies on soft keyboards, tilt-based interaction, and accessibility solutions for motor-impaired users. Labs/Teams: Affiliated with the Lassonde School of Engineering’s research initiatives in interactive systems and human-centered computing.
Prasenjit Mandal is an Associate Professor in the Department of Information Systems, Supply Chain Management, and Decision Support at NEOMA Business School (France). He holds a PhD in Decision Sciences and Information Systems from the Indian Institute of Management (IIM) Bangalore. Previously, he served as an Assistant Professor of Operations Management at IIM Calcutta and worked as an Oracle ERP consultant at Tata Consultancy Services. His research focuses on supply chain finance, revenue optimization, multi-channel retail strategies, and strategic decision-making in supply chains. He has published in top journals like European Journal of Operational Research and IEEE Transactions on Engineering Management. He currently serves as a reviewer for multiple academic journals. Education: PhD in Decision Science and Information Systems, IIM Bangalore, India Oracle ERP Techno-Functional Certification Research Interests: Revenue Management in Retail & E-commerce Supply Chain Finance & Platform Financing Multi-channel Distribution Strategies Empirical Modeling of Supply Chain Trade-offs Strategic Decision-Making under Competition Key Contributions: His recent work explores platform financing models, strategic supplier financing choices, and omnichannel retail challenges. His research integrates optimization models with real-world operational scenarios to address supply chain complexities. Professional Experience: Current: Associate Professor, NEOMA Business School 2016-2019: Assistant Professor, IIM Calcutta 2012-2015: Oracle ERP Consultant, Tata Consultancy Services
Andrew Campana is an Assistant Professor of Asian Studies at Cornell University's College of Arts and Sciences, specializing in modern and contemporary Japanese literature and media. His research explores the possibilities and limitations of expression during media transitions, with particular focus on poetry, digital media, and disability studies. His academic journey includes a Ph.D. in East Asian Languages and Civilizations from Harvard University and an Honors B.A. in East Asian Studies from the University of Toronto. Campana's first book, Expanding Verse: Japanese Poetry at the Edge of Media , published by the University of California Press in 2024 as an open access work, examines Japanese poetic practice from the 1920s to the present as poets engaged with evolving media technologies including film, tape recording, television, and the internet. As a researcher, Campana's work bridges literary studies, media studies, game studies, and disability studies, with current projects exploring how poetry became a key site of digital experimentation in Japan. His research methodology combines traditional literary analysis with hands-on creative practice, informed by his experiences at MIT's Trope Tank laboratory. His scholarly interests span Japanese media history, disability representation in literature and gaming, digital poetics, and gender studies. His research has received significant media attention, including features in the Cornell Chronicle ('Poets in Japan Experiment at the Edge of Media' and 'Japanese Poets Open New Ways of Thinking About Media'), The Statesman, and interviews on NPR's Academic Minute and the Curiosity Daily podcast discussing his work on gaming and accessibility. As an educator, Campana teaches courses including 'Introduction to Japan,' 'Japanese Poetry,' and 'The Glitch: Errors, Disability, and the Edges of Digital Media' (ASIAN 4703/6703), guiding students through interdisciplinary explorations of Japanese literature, media, and digital culture. His teaching reflects his commitment to understanding media transitions through both theoretical and practical lenses.
