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Kohei NakajimaView profile

Associate Professor

• Soft Robotics
• Physical Reservoir Computing
• Physical Deep Learning
• +5 more

Kohei Nakajima is an Associate Professor at the Department of Intelligent Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo. He holds concurrent positions at the Department of Creative Informatics and the Next Generation Artificial Intelligence Research Center (AI Center). As an Endowed Chair in Advanced Artificial Intelligence Education, he leads the Physical Intelligence Lab, which focuses on the intersection of soft robotics, nonlinear dynamics, and physical computing. His research interests center on Physical Reservoir Computing (PRC), a paradigm that exploits the natural dynamics of physical systems for computation, with applications in soft robotics, spintronics, and quantum machine learning. Nakajima's work demonstrates how physical systems can inherently process information without traditional digital computation, leveraging phenomena like chaos, bifurcations, and embodied intelligence. Nakajima's publications reveal a strong focus on understanding how physical systems can perform computational tasks. His recent work spans from biological applications (jellyfish cyborgs, ostrich-inspired robotics) to fundamental theoretical advances in reservoir computing. The research demonstrates how physical phenomena can be harnessed for information processing, with implications for energy-efficient computing and novel robotic control paradigms. As the organizer of the Reservoir Computing Seminar, Nakajima has built a vibrant research community exploring the nature of information processing across disciplines. His lab actively recruits graduate students and postdocs, indicating strong research momentum and institutional support for his work in physical intelligence.

Paolo PrandoniView profile

Lecturer

• Signal Processing
• Audio Processing
• Image Processing
• +5 more

Paolo Prandoni is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences (IC). He serves as a Scientist in the Audiovisual Communications Laboratory (LCAV) and teaches in the SSC-ENS and SIN-ENS units, focusing on signal processing theory and practical applications in audiovisual communications. He earned his PhD from EPFL after completing all prior education there, driven by childhood fascination with long-distance telephony. His doctoral work established foundations in communication systems that continue to inform his research. Prandoni's research spans audio/image processing, machine learning for media analysis, and DSP education. Key areas include computational photography (e.g., spectral imaging, stained glass rendering), speech quality assessment via transfer learning, music information retrieval (e.g., fingering prediction), and audience analytics through his company Quividi. His work consistently bridges theoretical signal processing with real-world implementation. Recent publications reveal a strategic shift toward machine learning integration in signal processing tasks, particularly non-intrusive speech assessment and lensless imaging reconstruction. Simultaneously, he advances DSP pedagogy through MOOC development and hands-on teaching tools using off-the-shelf hardware, emphasizing accessibility and practical skill development. No scientific awards are documented in the provided materials. He has advised PhD student Thanikachalam Niranjan (thesis: Image Based Relighting of Cultural Artifacts , 2016) and teaches Communication Systems and Computer Science courses. His educational impact extends through the open-access textbook Signal Processing for Communications (2008) and tools like MultiPub for maintainable online classes. Industry engagement includes Quividi co-founding (2006) and ongoing CSO role in attention analytics. As a core LCAV laboratory member, he collaborates on interdisciplinary projects including cultural heritage digitization, embedded signal processing systems, and real-time audience measurement, leveraging EPFL's infrastructure for both academic and commercial applications.

• Noise Abatement in Machines and Vehicles
• Numerical Modeling in Mechanics
• Automotive Structures and Dynamics
• +12 more

Prof. Wim Desmet is a full professor at the Faculty of Engineering Science and head of the Department of Mechanical Engineering at KU Leuven . His research focuses on advanced modeling techniques for mechanical systems, including: noise and vibration control in automotive and industrial systems computational acoustics and interval field uncertainty modeling metamaterials for broadband vibroacoustic performance AI-driven diagnostic systems in renewable energy and manufacturing Current research projects address challenges in electric vehicle drivetrains, wind turbine monitoring, and multi-physical digital twin development. He actively contributes to academic governance as: Managing Director of KU Leuven Head of Subdivision HIST Chair of multiple executive committees Member of 15+ academic and administrative councils

• Human-Computer Interaction
• Ubiquitous Computing
• Accessibility Research
• +1 more

Zhanna Sarsenbayeva is a Lecturer in the School of Computer Science at the University of Sydney. Previously, she held a Doreen Thomas Postdoctoral Research Fellowship at the University of Melbourne. Her research focuses on Human-Computer Interaction (HCI), Ubiquitous Computing, Accessibility, and Affective Computing. She earned a PhD in Engineering from the University of Melbourne, an MSc in Computer Science and Engineering from the University of Oulu, and a BSc in Computer Science from University College London. Research Interests: Dr. Sarsenbayeva explores how technology can enhance accessibility, improve emotion recognition in mobile contexts, and address situational impairments. Her work spans wearable sensors, mobile health applications, and ethical AI methodologies. Awards & Honors: 2022–2023: Australia-Germany Joint Research Cooperation Scheme 2021: CIS ECR Grant 2020: Doreen Thomas Postdoctoral Fellowship 2019: Gaetano Borriello Outstanding Student Award Advising & Grants: She currently supervises five PhD students researching topics like mixed reality collaboration and emotion recognition. Her grants include projects on accessibility standards and fairness in AI. International Collaborations: Engages with researchers at Aalborg University (Denmark), University of Oulu (Finland), and LMU Munich (Germany) on interdisciplinary projects.

• Augmented Reality
• Computer Vision
• Human-Computer Interaction
• +4 more

Dr. Alexander Plopski is an Assistant Professor at the Institute of Visual Computing, Technische Universität Graz. His research focuses on advancing augmented reality (AR) technologies, human-computer interaction (HCI), and optical display systems. He holds a PhD, M.Sc., and BSc in relevant fields. His work emphasizes perceptual optimization in AR displays, eye tracking integration, and accessibility solutions for color vision deficiencies. Key research areas include gaze-contingent AR interfaces, light field manipulation for extended reality, and multimodal interaction techniques. Notable contributions include the development of the 'guitARhero' interactive AR guitar tutorial system and studies on focal distance effects in optical see-through displays. His publications span topics from AR display calibration to gesture recognition using radar sensing. He has explored applications in industrial training, medical AR, and robotic telemanipulation. His work often bridges theoretical perceptual studies with practical system implementations, aiming to enhance user experience and accessibility in AR/VR environments.

• Precision Agriculture
• Optical Engineering
• Remote Sensing
• +3 more

Dr. Jose Manuel Sánchez Peña is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on precision agriculture technologies, optoelectronics, and neuroscientific interfaces. He leads projects on drone-based crop monitoring, renewable energy systems, and machine learning applications in environmental science. Key research areas include: UAV remote sensing for water stress and weed management in viticulture and maize Optical communication systems leveraging photovoltaic integration Machine learning models for precision agriculture Neuroscientific studies on multisensory emotion elicitation Publishing trends show strong focus on: Drone technology advancements (42% of recent articles) Optoelectronics and VLC systems (28% of recent articles) Neuroscience applications (15% of recent articles) Sustainable agricultural practices (12% of recent articles) Laboratory activities center around GUTI's interdisciplinary teams working at the intersection of engineering, agriculture, and neurotechnology.

Frank CantersView profile

Professor

• Urban Remote Sensing
• GIS Applications
• Urban Form Dynamics
• +3 more

Frank Canters is a Professor of cartography, GIS, and remote sensing at the Department of Geography of Vrije Universiteit Brussel (VUB), leading the Cartography and GIS Research Group. His research focuses on urban remote sensing, spatial modeling of urban environments, and urban ecosystem services. He is renowned for pioneering the Canters projection, a minimum-error world map projection, and has contributed extensively to urban land-use mapping and decision-support systems for urban planning. His work spans over three decades, with 281+ publications and collaborations across multiple disciplines. Key areas include urban form dynamics, remote sensing applications for vegetation and land-use analysis, and spatial justice in green infrastructure distribution. He has supervised 83 students and developed tools like the Q-LavHA plugin for volcanic hazard modeling. Recent research highlights include integrating public perceptions into green space accessibility models, assessing allergenic potentials of urban greenery via LiDAR, and advancing machine learning approaches for urban vegetation mapping. His contributions bridge geospatial technologies with urban sustainability and policy.

• Computational Neuroscience
• Neurobiology
• Visual Cortex
• +3 more

Mario Dipoppa is an Assistant Professor in the Department of Neurobiology at the University of California, Los Angeles. His research focuses on computational neuroscience, cortical adaptation, and neural circuit dynamics. Position: Assistant Professor, Neurobiology Email: mdipoppa@g.ucla.edu Research Interests: Mario's work explores how neural populations in the visual cortex adapt to sensory input, with a particular emphasis on the interplay between neural oscillations, synchrony, and cognitive functions like working memory. His recent studies investigate optimal coding strategies in visual adaptation, contextual modulation mechanisms, and the role of transcriptomic diversity in cortical interneuron function. Publications Trends: His research spans computational modeling of cortical networks, visual neuroscience, and neurogenetic analyses of brain circuits. Early work (2013-2016) focused on working memory mechanisms and neural oscillations, while recent studies (2022-2025) emphasize visual cortex adaptation, population coding, and cross-species circuit comparisons.

Wendy BellionView profile

Professor

• American Art History
• Material Culture Studies
• Visual Culture
• +7 more

Wendy Bellion is Professor of Art History and the Sewell C. Biggs Chair in American Art History at the University of Delaware, where she also serves as Associate Dean for the Humanities in the College of Arts & Sciences. She directs the Center for Material Culture Studies and is a leading scholar in American visual and material culture from the late colonial and early national periods. Her research focuses on interdisciplinary approaches to American art within the British Atlantic world, particularly exploring topics such as illusionism, sensory perception, theatrical representation, and iconoclasm. She has published extensively on trompe l'oeil painting, optical devices, and the politics of visual discernment in early national America. Her major publications include the award-winning Citizen Spectator: Art, Illusion, and Visual Perception in Early National America (2011) and Iconoclasm in New York: Revolution to Reenactment (2019). Her work reveals how visual and material culture shaped civic identity, political expression, and sensory experience in early American society. She has received significant scholarly recognition, most notably the Charles C. Eldredge Prize from the Smithsonian American Art Museum for outstanding scholarship. Her current projects include a monograph on visual culture and the early national theater and a co-edited volume on global eighteenth-century material cultures. Wendy Bellion earned her Ph.D. from Northwestern University. She mentors graduate students in art history and leads interdisciplinary research initiatives. Her leadership extends to academic administration and the advancement of humanities research at the university level. She is affiliated with the Department of Art History, the College of Arts & Sciences, and the Center for Material Culture Studies at the University of Delaware.

James DixonView profile

Professor

• Self-organization in perception, action, and cognition
• Thermodynamic origins of behavior
• Complex behavior in non-living dissipative systems
• +1 more

James Dixon is a Professor and Director of Ecological Psychology at the University of Connecticut, where he leads the Department of Psychological Sciences and directs the Center for the Ecological Study of Perception & Action (CESPA). CESPA fosters interdisciplinary research across optics, acoustics, movement science, and nonlinear dynamics, establishing UConn as a pioneer in ecological psychology. Research Focus Dr. Dixon investigates the self-organizing principles underlying perception, action, and cognition, with emphasis on thermodynamic foundations of behavior. His work bridges psychology, physics, and complex systems theory: Self-organization in biological and non-living dissipative systems Fractal dynamics in cognitive processes Inter-entity coordination across scales End-directed evolution in complex systems Publication Trends His publications (2009-2016) converge on emergent phenomena in complex systems, with recurring themes of self-organization, entropy, and coordination dynamics. Recent work emphasizes thermodynamic principles in behavioral emergence, while earlier studies explore representational change and insight through nonlinear models. Leadership & Academic Environment As CESPA Director, he oversees collaborative research spanning 10+ specialties. The center’s ethos integrates ecological principles with physics and development, maintaining UConn’s legacy in perception-action science since its founding by J.J. Gibson.

• Interactive Global Illumination
• Perceptual Graphics
• Non-physical Graphics
• +1 more

Tobias Ritschel is a Professor of Computer Graphics at University College London . His research spans advanced rendering techniques, perceptual modeling, and data-driven graphics, with a focus on bridging physical accuracy and artistic flexibility in visual computing. Key research themes include: Interactive Global Illumination : Real-time simulation of complex lighting effects on GPUs Perceptual Graphics : Human vision-driven rendering and display optimization Non-physical Graphics : Beyond-photorealistic techniques for artistic expression Data-driven Graphics : Leveraging large datasets for novel rendering and modeling approaches His recent work emphasizes neural rendering , differentiable graphics , and X-ray tomography , with applications in 3D reconstruction , NeRF manipulation , and holographic imaging . Notable scientific achievements include the Eurographics Young Researcher Award 2014 and Eurographics Thesis Award 2011 . He has advised multiple PhD students including Philipp Henzler (EG PhD Award 2024) and Thomas Leimkühler (Otto Hahn Medal 2019), while actively contributing to conference leadership as co-chair for EGSR 2024 and Pacific Graphics 2024 . His team collaborates on X-ray reconstruction with Pablo Villanueva-Perez and works on 3D perception with Anthony Steed.

Heidi BaselerView profile

Senior Lecturer

• Visual Neuroscience
• Neuroimaging
• Sensory Processing
• +4 more

Dr. Heidi Baseler is a Senior Lecturer in Imaging Sciences at the Hull York Medical School and the Department of Psychology , University of York . She serves as INSPIRE Programme Lead for undergraduate research and contributes to research governance and public/patient involvement in research through committees like the York Neuroimaging Centre Research Governance Committee and Involvement@York . Education : AB in Biology/Psychology from Dartmouth College (1986), PhD in Vision Science from University of California, Berkeley (1995) Career : Research Fellow at Stanford, Smith-Kettlewell Eye Research Institute, and University of York; Lecturer in Imaging Sciences at Hull York Medical School (2012-2021) Her research focuses on neural mechanisms for central/peripheral vision processing, cortical responses to sensory loss (e.g., AMD, deafness), and neuroprotective strategies like photobiomodulation. Techniques include structural and functional MRI , magnetic resonance spectroscopy , multifocal EEG , and electroretinography . Key findings include cortical reorganization in macular degeneration and superior visual performance in deaf adults. Recent article trends highlight: Neuroimaging biomarkers for AMD progression Cross-modal plasticity in deaf individuals Long-term effects of sensory deprivation on brain structure Photobiomodulation for neurodegeneration Functional connectivity in face-selective regions Contrast perception dynamics across aging Scientific awards include: Exceptional Contribution to Student Experience Finalist , Hull York Medical School (2024) Pursuing Excellence Award , Hull York Medical School (2023) Vice-Chancellor's Teaching Award , University of York (2020) Multiple Teacher of Excellence Finalist recognitions (2016-2018) She teaches undergraduate medical students in Foundations of Medicine and Neurological Diseases , and supervises MSc Cognitive Neuroscience projects. Collaborations span institutions like University of Hull , University of Lille , and University of Regensburg . Current students include Sharyfah Alasiri (PhD, Biomedical Sciences) and Erin English (PhD, Psychology) at the University of York.

Julia Carina BöttcherView profile

Researcher

• History of Science
• Early Modern History
• Scientific Expeditions
• +3 more

Dr. Julia Carina Böttcher is a research associate in the field of scientific reflection at ZIWIS (Zentrum für Interdisziplinäre Wissenschaftsforschung) at Friedrich-Alexander University Erlangen-Nürnberg. She holds a habilitation from Ludwig Maximilian University of Munich (2025) and is a member of the Leopoldina Center for Science Studies project group. Her work bridges the history of science, early modern history, and the interplay between natural science and politics. PhD in History of Science (University of Regensburg, 2017) Habilitation in History of Science (LMU Munich, 2025) Researcher at University of Regensburg and LMU Munich post-2017 Her research focuses on observation practices during 18th-century exploration trips, academic communities (e.g., Leopoldina Academy), and the political behavior of scholars . Key themes include elite identity formation, bodily practices, and the institutional dynamics of scientific networking. She is currently concluding her DFG-funded project on The Politics of Networking (2020–2023) and will serve as interim professor for History of Science at LMU Munich in 2025. Her 15 most recent publications (2024–2019) analyze collection practices, scientific communities, and the cultural history of expeditions. Articles span topics from 18th-century anatomical research to Enlightenment botanical enthusiasm, often emphasizing methodological innovation and institutional interplay. She is an alumna of the Young Research Fellows program at the Bavarian Academy of Sciences and Humanities and maintains active collaborations in international research networks. Her work has contributed to re-evaluating the Leopoldina Academy's role as a strategic scholarly collective in early modern Europe.

• Computer Graphics
• Computer Vision
• Augmented Reality
• +3 more

Aditi Majumder is a Professor of Computer Science at the University of California, Irvine (UCI), affiliated with the School of Engineering and Information Sciences. Her research focuses on multi-projector display systems, augmented reality (AR), and their applications in scientific and medical fields. She holds a Ph.D. from the University of North Carolina, Chapel Hill (2003). Her work addresses challenges in geometric, chromatic, and luminescent corrections for tiled displays, with applications in surgical assistance and deformable surface visualization. Recent projects include precision stencils for surgical sites and dynamic projection mapping on non-rigid surfaces. Notable achievements include the Inaugural Hasso Plattner Endowed Chair in Artificial Intelligence (2025). Her research spans AR in medicine, real-time multi-projector synchronization, and color gamut optimization. Dr. Majumder also engages in public discourse on computer science education, emphasizing its societal importance and foundational skills like programming and discrete mathematics. Her 15 most recent articles (2021–2024) highlight advancements in surgical AR, deformable surface projection systems, and medical visualization. These contributions bridge computer graphics, vision, and biomedical engineering, reflecting her interdisciplinary approach to solving complex display and interaction challenges.

Alan A. StockerView profile

Professor

• Computational Neuroscience
• Bayesian Inference
• Sensory Adaptation
• +4 more

Alan A. Stocker is a Professor in the Department of Psychology at the University of Pennsylvania, with affiliations in the Neuroscience Graduate Group, Bioengineering Graduate Group, and Computational Neuroscience Initiative. He leads the Computational Perception and Cognition (CPC) Laboratory, focusing on how prior beliefs and expectations shape sensory perception through Bayesian inference and efficient coding principles.