John Carruthers is an Associate Professor and Director of Graduate Studies in the Department of City and Regional Planning at Cornell University, affiliated with the Carl Sagan Institute and the AAP school. His research bridges regional science and urban planning. Ph.D. in Regional Science, University of Washington (2001) M.S. in Regional Science, University of Arizona (1998) B.A. in Economics, Hunter College, CUNY (1996) Carruthers specializes in Sustainable Urban Development , Economic Geography , and Geospatial Analysis , focusing on environmental remediation in Puget Sound and public amenities in Seoul. His work employs spatial econometrics and input-output analysis to address urban challenges. His recent publications in journals like International Regional Science Review and Journal of Regional Science explore Land Use Policy , Urban Growth Patterns , and Environmental Valuation . George Washington Award (2019) Distinguished Leadership Award for a Planning Educator (2016) Carruthers has led grants such as the Estimating the Public Benefits of Green Space in the Seoul Metropolitan Area project (Korea Development Institute, $75,000). He teaches courses on regional economic impact analysis and climate change economics.
Professor Peter F. Driessen is a faculty member in the Department of Electrical and Computer Engineering at the University of Victoria, with a cross-appointment in the School of Music. He holds a BSc and PhD from the University of Victoria and is a Professional Engineer (PEng). His research focuses on communication systems, signal processing, control, and interdisciplinary projects in computer music and wireless technologies. Key areas include audio/video signal processing, radio propagation, sound recording, and multimedia systems. He leads the University of Victoria Propagation Laboratory, which explores radio wave propagation and Amateur radio integration with engineering education. His work spans theoretical research and applied projects like ECOSat satellite systems, software-defined radio (SDR), and innovative musical instruments such as the Radio Drum. He supervises undergraduate and graduate projects in these domains through ELEC 499 courses. Notable contributions include the APEGBC Editorial Board Award for Best Paper (2002) and patents in wireless networking and signal processing. His teaching includes courses in signal analysis and electromagnetics, and he collaborates on interdisciplinary programs like the Music/Computer Science degree. Education: BSc in Electrical Engineering, University of Victoria PhD in Electrical Engineering, University of Victoria Research Interests: Audio and video signal processing for music and media Software-defined radio and Amateur radio technologies Satellite communication and ground station development Gesture-based interfaces and musical instrument design Error mitigation in streaming audio/video Optical and microwave-photonic systems Labs & Collaborations: Propagation Laboratory (radio wave research) UVic Experimental Radio Group (Amateur radio club) UVic Satellite Design Team (ECOSat projects) UVic Centre for Aerospace Research Grants & Awards: APEGBC Editorial Board Award (2002) Multiple US patents in wireless systems and signal processing
Jiajun Wu is an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University. He holds multiple affiliations including membership in Bio-X, Faculty Affiliate status at the Institute for Human-Centered Artificial Intelligence (HAI), and membership in both the Wu Tsai Human Performance Alliance and Wu Tsai Neurosciences Institute. Dr. Wu earned his Ph.D. and S.M. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology before joining Stanford. Dr. Wu's research program focuses on creating AI systems that understand and interact with the physical world through the integration of computer vision, machine learning, robotics, and cognitive science. His work emphasizes physics-based modeling combined with deep learning to develop systems capable of perceiving, reasoning about, and predicting physical interactions. Key research areas include 3D scene understanding, neurosymbolic AI approaches, multimodal perception (combining vision, sound, and language), and embodied intelligence for robotics applications. His lab develops novel frameworks that bridge the gap between neural networks and symbolic reasoning to create more interpretable and robust AI systems. Analysis of Dr. Wu's recent publications reveals a strong trajectory toward integrated multimodal understanding for embodied AI. His work increasingly combines vision, sound, and language processing with physical reasoning to create systems that can interact meaningfully with the physical world. There's a clear progression from foundational computer vision research toward practical robotics applications, with significant emphasis on foundation models for robotics, sim2real transfer techniques, and creating comprehensive datasets for embodied AI research. Dr. Wu's exceptional contributions have been recognized with numerous prestigious awards including the NSF CAREER award (2024), Young Investigator Programs from ONR (2024) and AFOSR (2023), the Okawa research grant (2024), and being named to IEEE Intelligent Systems' 'AI's 10 to Watch' (2024). He has received multiple best paper awards at leading conferences including ICRA (2024), SIGGRAPH Asia (2023), and CoRL (2023). Dr. Wu actively mentors a large cohort of students across multiple levels, serving as primary advisor for doctoral candidates, master's students, and numerous independent researchers. His research is supported by substantial funding from major technology companies including Google, Meta, Amazon, Samsung, and J.P. Morgan, as well as government agencies like NSF, ONR, and AFOSR, reflecting the significance and impact of his work in physical AI and multimodal perception systems. Dr. Wu leads a dynamic research group at Stanford that collaborates extensively with the Wu Tsai Neurosciences Institute and Institute for Human-Centered AI. Current projects include developing neurosymbolic models for computer graphics, creating multisensory datasets like OBJECTFOLDER 2.0 for sim2real transfer in robotics, and building foundation models for embodied intelligence that can understand and manipulate objects with human-like physical intuition.
Michael S. Horn is a Professor of Learning Sciences and Computer Science at Northwestern University, serving as Program Coordinator for Learning Sciences. He holds a PhD in Computer Science from Tufts University and a ScB in Computer Science from Brown University. His research focuses on the intersection of human-computer interaction and learning, emphasizing the use of emerging technologies in museums, classrooms, and informal settings. Notable projects include multi-touch tabletops in natural history museums, tangible programming languages for early education, and the TIDAL Lab’s innovative exhibits like Build-a-Tree and DeepTree. Education background includes: PhD in Computer Science (Tufts University, 2009) MS in Computer Science (Tufts University, 2006) ScB in Computer Science (Brown University, 1997) Research interests span tangible interaction design, computational literacy, and museum-based learning. He has led projects such as the ‘Energy Monsters’ board game and the TunePad music-coding platform. His work integrates technology with pedagogical practices to foster collaborative and exploratory learning environments. Active collaborations include the Computer History Museum and the California Academy of Sciences. Advising contributions include mentoring doctoral students like Dr. Mmachi Obiorah and Pei-Yi. His lab, TIDAL, explores interactive technologies for education, with grants from NSF and industry partnerships. Recent articles highlight innovations in computational thinking integration, music-coding hybrid practices, and AI-driven qualitative analysis.
Suresh Krishna is an Associate Professor in the Department of Physiology at McGill University's Faculty of Medicine. His research focuses on the neurophysiological and computational basis of sensory processing, attention, and eye movements, with applications to brain-machine interfaces and human health. He works with human subjects, non-human primates, and open datasets using in-vivo electrophysiology, eye-tracking, and computational modeling. Research interests include visual attention mechanisms, saccadic eye movement control, neural coding of motion perception, and the interplay between attention and decision-making. His work bridges basic neuroscience with translational applications such as improving neural prosthetics and understanding perceptual disorders. Recent work highlights how neural remapping processes during saccades underlie spatial perception, and how attention modulates neural activity patterns in visual cortex. The lab's publications reveal critical insights into the temporal dynamics of attentional shifts and their neural substrates, particularly in areas MT and MST. Dr. Krishna's team also investigates auditory temporal processing in the inferior colliculus, exploring correlations between neuronal responses to sound modulation. Their findings contribute to understanding how sensory systems encode temporal information across modalities. Research is conducted in the M2B3 Lab (http://m2b3.lab.mcgill.ca), which integrates experimental and computational approaches to study brain mechanisms underlying perception and action. No specific awards are listed, but ongoing work involves major contributions to primate neurophysiology and translational neuroscience.
Craig Jin is an Associate Professor at the University of Sydney, leading the CARlab (Computing and Audio Research Laboratory) and Spatial Audio Research initiatives within the School of Electrical and Computer Engineering. He holds a BS from Stanford University, an MS from Caltech, and a PhD from the University of Sydney. His work focuses on immersive audio technologies, biomedical signal processing, and assistive technologies for sensory augmentation. Research interests include spatial audio reproduction, binaural processing, acoustic sensing for accessibility, and machine learning applications in signal processing. Key contributions span HRTF interpolation, noise reduction algorithms, and acoustic touch systems for the visually impaired. Recent projects include real-time MRI analysis of vocal tract dynamics and sparse recovery techniques for sound field reconstruction. His publications span over 150 peer-reviewed articles in journals like IEEE Transactions on Audio, Speech, and Language Processing, and conferences such as ICASSP. He advises four current PhD/Master’s students on projects like predictive gesture tracking, voice disorder classification, and magnetic resonance imaging techniques.
Johannes Riquet is a Professor in the Department of English at Tampere University , Finland, and Head of English. He directs the Spatial Studies and Environmental Humanities research group and leads interdisciplinary projects such as Mediated Arctic Geographies funded by the Academy of Finland (EUR 480,000, 2019–2023). Research Interests : Spatial theory, literary geography, environmental humanities, Arctic studies, mobility, and deconstruction. Recent Publications include monographs on island aesthetics, Arctic geopoetics, and co-edited volumes with Wesleyan UP and Manchester UP. His work spans cinematic geographies, Arctic comics, and hip-hop narratives. Grants : Principal Investigator for Mediated Arctic Geographies (Academy of Finland, 2019–2023). Collaborative Projects : Co-curated Circumpolar Connections with Indigenous scholars, integrating Arctic and Indigenous knowledges.
James T. Enns is a Professor and Distinguished University Scholar in the Department of Psychology within the Faculty of Arts at the University of British Columbia. His research primarily focuses on the role of attention in human vision, with secondary interests in developmental psychology and human-machine interaction. Dr. Enns' research interests span perception, attention, vision, cognition, development, and human-machine interaction. His work explores how the human mind selects information, with particular emphasis on visual attention mechanisms. His laboratory research investigates the fundamental processes of visual perception and how attention modulates these processes across different contexts and developmental stages. Analysis of Dr. Enns' publication record reveals consistent engagement with visual perception, attentional mechanisms, and cognitive processing. His research demonstrates expertise in both theoretical frameworks and experimental methodologies related to visual attention, with applications spanning basic cognitive science to potential implementations in human-computer interaction systems. His work often bridges theoretical cognitive psychology with practical applications. Canadian Society for Brain, Behaviour and Cognitive Science Donald O. Hebb Distinguished Contribution Award (2013) Distinguished University Scholar, UBC (2004) Robert E. Knox Master Teaching Award (2004) Royal Society of Canada Fellow (2002) Killam Faculty Research Prize (1994) Killam Faculty Research Fellowship (1993) Society of Experimental Psychology Fellow Dr. Enns has served as Editor for the Journal of Experimental Psychology: Human Perception and Performance, and as Associate Editor for Psychological Science, Consciousness and Cognition, and Visual Cognition. His research has been supported by grants from NSERC, the Canadian Foundation for Innovation, the Australian Research Council, BC Health, and Nissan. He has authored textbooks on perception, edited research volumes on the Development of Attention, and published numerous scientific articles on vision, attention, and cognitive science. Dr. Enns is currently accepting graduate students and continues to mentor the next generation of cognitive scientists. Dr. Enns leads the UBC Vision Lab, which focuses on how the human mind selects information. The lab conducts research on visual attention, perception, and cognitive processes using a variety of experimental methodologies.
Dr James Lamb is a Lecturer in Digital Education at the Moray House School of Education and Sport, University of Edinburgh, where he is affiliated with the Institute for Education, Community and Society (IECS) and Edinburgh Futures Institute. He teaches on the MSc in Digital Education and MSc in Education Futures programs, and serves as course organiser for several key courses including 'Learning Spaces and Digital Technologies', 'The Future of Learning Organisations', and 'Education and Digital Cultures'. As an active researcher, he contributes to the Centre for Research in Digital Education and leads the Hybrid Pioneers research group. Dr Lamb's educational background includes a PhD from the University of Edinburgh (funded by ESRC), an MSc with distinction from the University of Edinburgh, and a BA degree with distinction from Edinburgh Napier University. His doctoral research focused on 'Space, Sociomateriality, Sound: the Learning Spaces of Higher Education,' reflecting his longstanding interest in the relationship between physical environments and educational experiences. Dr Lamb's research primarily investigates the relationship between learning spaces and digital technologies, with particular attention to how sound features within educational contexts and how multimodal approaches can enhance teaching and assessment. His work bridges theoretical frameworks from postdigital studies, sociomaterial theory, and spatial analysis to examine how digital technologies transform physical and conceptual learning environments. He has developed innovative methodologies for studying learning spaces, including the use of 'digital multimodal postcards' that capture both visual and auditory dimensions of educational experiences. His research is characterized by a strong commitment to practical applications that can inform educational design and improve student learning experiences in both physical and digital settings. Dr Lamb's extensive publication record demonstrates a clear evolution toward increasingly sophisticated explorations of postdigital learning spaces. His recent work integrates concepts from architecture, music, and mobility studies to create a more holistic understanding of how learners inhabit and transform educational environments. A notable trend is his growing focus on sustainability, equity, and well-being within learning space design, reflecting broader shifts in educational priorities toward more humane and socially responsible approaches to technology integration. Dr Lamb actively supervises PhD students Edward Martin and Nick Hood, and is open to supervising projects related to learning spaces, sound in education, and multimodal teaching and assessment in higher education. His supervision approach emphasizes connecting theoretical frameworks with practical educational applications, encouraging students to develop innovative methodologies for investigating complex educational phenomena. Dr Lamb leads the Elektronisches Lernen Muzik project, which explores the relationship between music and learning, and is a co-author of the influential Manifesto for Teaching Online. He is also a key member of the Hybrid Pioneers research group, which investigates the challenges and opportunities of hybrid teaching and learning environments. These initiatives reflect his commitment to exploring the intersections between traditional educational practices and emerging digital possibilities.
Ian Ewart is an Associate Professor at the University of Reading's School of the Built Environment, serving as Head of Construction and Engineering Management and Research Group Lead for Organisation, People and Technology. He chairs the Research Ethics Committee since 2016 and supervises undergraduate/postgraduate dissertations. His academic journey spans engineering and anthropology: DPhil Social and Cultural Anthropology, University of Oxford, St Hugh's College (2007-2012) MSc Material Anthropology and Museum Ethnography, University of Oxford, St Hugh's College (2006-2007) BA (Hons) Archaeology and Anthropology, University of Oxford, Harris Manchester College (2003-2006) Diploma in Management Studies, University of the West of England (1990-1994) BEng (Hons) Mechanical Engineering, Staffordshire University (1983-1987) Ewart's research integrates ethnographic methods with digital technology studies, examining human-technology interactions in construction and domestic settings. His work bridges engineering practice and social anthropology, focusing on skill transmission, sustainable design, and multisensory experiences in virtual environments. Publications from 2025-2013 reveal a dominant trajectory in digital twins for socio-ecological sustainability, VR-based occupant behavior prediction, and HBIM for heritage conservation. The corpus demonstrates consistent cross-disciplinary innovation, merging archaeological reconstructions with healthcare applications while maintaining anthropological rigor. Key recognition: ESRC Future Research Leader fellowship (2013) for Designing Healthy Homes project He supervises PhD candidates like Afolabi Dania (Nigerian sustainable construction) and Joanna Hull (Heritage BIM), leveraging ESRC funding for ethnography-VR health studies. His grants emphasize participatory design and real-world impact assessment in built environments. Leaders the Organisation, People and Technology research group, developing multisensory Roman town reconstructions with sound/smell integration to advance archaeological and architectural experience modeling.
Dr. Andrew Hines is a Researcher at the School of Computer Science, University College Dublin, specializing in machine learning applications for signal processing in speech, audio, and video domains. His work focuses on Quality of Experience (QoE) modeling, speech quality assessment, and immersive media analysis. He has held leadership roles in European COST Actions like Qualinet and CryptoAction, and previously worked in industry as a Director of Engineering. University: University College Dublin Role: Director of Research, Innovation and Impact Key Collaborations: IEEE (Senior Member), Audio Engineering Society (Ireland) Research interests center on machine learning for QoE optimization, audio-visual integration, and healthcare applications like heart sound classification and stroke rehabilitation. His recent publications explore self-supervised learning, neural speech codecs, and contextual factors in speech/audio quality assessment. Scientific contributions include awards like IEEE Senior Membership, and his work spans both academic research and industrial engineering in finance and aviation sectors. He leads the QxLab research team at UCD and develops open-source platforms such as WARP-Q and AQP for quality metrics.
Mathias Funk is an Associate Professor in the Industrial Design department at Eindhoven University of Technology (TU/e), leading the Things Ecology lab. His research focuses on designing with data and systems behavior, particularly in IoT and medical technology contexts. He co-founded UXsuite GmbH and developed the OOCSI communication framework. With a PhD in Electrical Engineering from TU/e (2011), Funk has held academic roles since 2013, including postdoctoral positions in Electrical Engineering and Industrial Design. He teaches courses like 'Data-enabled design' and supervises projects on AI, data foundry, and OOCSI applications. His work bridges engineering and design, addressing sustainability and human values through systemic design approaches. Education: PhD in Electrical Engineering, TU/e (2011) Computer Science background from RWTH Aachen Postdoc at TU/e's Electrical Engineering and Industrial Design departments Research Interests: Data-driven design methodologies, IoT systems, medical technology innovation, sustainable design practices, and interactive systems for musical expression. Recent work emphasizes telemonitoring efficacy in heart failure care and federated learning applications. Awards: Best Paper Award (2014) Honorable Mention (2021) Grants/Projects: Leading initiatives like MEDICAID (medtech solutions), ACACIA (interpretable AI), and Data-Driven Servitizing in Professional Printing. Active in clinical workflow prototyping and cardiovascular disease detection projects. Lab Activities: Manages the Things Ecology lab, focusing on systemic design challenges in smart ecosystems. Collaborates internationally through spin-offs and visiting lectureships.
Mark Bocko is a Distinguished Professor of Electrical and Computer Engineering at the University of Rochester, affiliated with the Hajim School of Engineering & Applied Sciences. He holds roles as Director of the Center for Emerging and Innovative Sciences (CEIS) and Director of Audio & Music Engineering. He earned his PhD in Physics from the University of Rochester in 1984, focusing on gravitational wave detectors. His research spans audio signal processing, sensors, superconductivity, and quantum computing. Notable contributions include flat-panel loudspeaker development, non-contact ECG sensors, and quantum coherence studies in Josephson junctions. Research interests include audio and acoustic signal processing, computer audition, and sensor technologies. His work integrates interdisciplinary approaches, combining electrical engineering, physics, and computer science. Awards include the 2012 Goergen Award for Teaching and Mercer Brugler Distinguished Teaching Professor (2008–2011). Recent publications address modal crossover networks for loudspeakers, vibrational touch sensing, and room impulse response modeling. He has advised PhD students on topics like spatial audio rendering and musical vibrato analysis. His labs focus on advancing audio engineering and smart sensor systems through collaborative industry partnerships.
Michael Stamm is Chairperson and Professor in the Department of History at Michigan State University, within the College of Social Science. His research focuses on media and journalism history, with specialties in cultural, political, and environmental history. He has authored influential books like Sound Business (2011) and Dead Tree Media (2018), which explore the material and economic dimensions of print media. His work bridges media studies with environmental history, examining global commodity chains and the geopolitical impact of newsprint production. Stamm’s research has been recognized with awards including the Canadian Business History Association’s Best Book Prize (2019) and the Richard E. Sullivan Teaching Excellence Award (2022). He leads courses on North American history, media, business, and environmental history. From 2017–2020, he directed MSU’s participation in the American Historical Association’s Career Diversity initiative, fostering innovative historian training. His recent projects expand into international media comparisons and digital-age publishing challenges. Stamm’s academic profile combines rigorous historical scholarship with interdisciplinary engagement, reflecting his dual role as a researcher and educator.
Andrea Megela Simmons is a Professor at Brown University in the Department of Cognitive, Linguistic, and Psychological Sciences with a secondary appointment in the Department of Neuroscience . She is a member of the Carney Institute for Brain Science and serves as a Principal Investigator on an ONR MURI project. Education : A.B. from the University of Pennsylvania (1973), Ph.D. from Harvard University (1978), Postdoctoral research at Cornell University Simmons specializes in cognitive and neural mechanisms of sound perception and communication across species including frogs, bats, dolphins, and humans. Her work bridges behavioral neuroscience, comparative neurology, and developmental studies to explore auditory processing, echolocation, and sensory integration. Her recent publications highlight interdisciplinary trends in auditory neuroscience, focusing on sound exposure effects, metamorphic neurodevelopment, and sensory-motor coordination in cluttered environments. Key subfields include echolocation, lateral line function, tectal connectivity, and acoustic adaptation across species. Scientific Awards : Fellow, Acoustical Society of America Simmons has received grants from the Office of Naval Research (ONR) for MURI projects and has taught courses such as Animal Behavior , Evolution and Development of the Brain , and Auditory Perception Laboratory .
