جست‌وجوی استاد و پژوهشگر

Jessica Hemmingsمشاهده پروفایل

استاد

• Textiles
• Contemporary Craft
• Material Culture
• +۵ مورد دیگر

Jessica Hemmings is Professor of Craft at HDK-Valand, University of Gothenburg, Professor II at the Oslo School of Architecture and Design, and Visiting Professor at Moholy-Nagy University of Art & Design, Budapest. Her academic career spans multiple international institutions with a focus on textiles, craft, and material culture. Her educational background includes a BFA in Textile Design from the Rhode Island School of Design, an MA in Comparative Literature from the School of Oriental and African Studies, University of London, and a PhD from the University of Edinburgh. Professor Hemmings' research interests center on textiles and contemporary craft, with particular attention to material culture and literature, postcolonial literature and contemporary craft, lifewriting and embodied knowledge, and the cultural contexts of Zimbabwe and Indonesia. Her current research project "Carceral Craft: the material of oppression or expression?" is funded by the Swedish Research Council (2025-2027) and investigates textile crafts made in carceral contexts. Her extensive publication record demonstrates a commitment to exploring the intersections of craft, culture, and social contexts. Her recent work has focused on postcolonial textiles, material memory, and the political dimensions of textile practice. Editor-in-Chief of PARSE at HDK-Valand, University of Gothenburg Editorial board member of Textile: the Journal of Cloth & Culture (Taylor & Francis) Editorial board member of Craft Research (Intellect) External PhD examiner across multiple countries including Australia, Britain, Hungary, Ireland, Italy, New Zealand, Norway, Portugal, South Africa and Sweden Professor Hemmings supervises PhD candidates working on projects related to blacksmithing, tools and the body, as well as textiles, dignity and mourning. She has held previous positions including Rita Bolland Fellow at the Research Centre for Material Culture, Netherlands (2020-2023), external examiner for the MA Textiles at the Royal College of Art, London (2017-2020), and honorary Adjunct Professorship at UNSW, Sydney (2016-2018).

• History and Philosophy of Mathematics
• History of the Notion of Space
• Phenomenology and Theory of Perception
• +۳ مورد دیگر

Vincenzo De Risi is a Researcher at the CNRS and a leading expert in the history and philosophy of mathematics, with a focus on the evolution of geometry and the metaphysics of space. He has held positions at prestigious institutions including the Max Planck Institute for the History of Science (Berlin and Leipzig) and the Scuola Normale Superiore (Pisa). His work bridges classical and early modern mathematical thought, emphasizing figures like Leibniz, Kant, and Euclid. Education : PhD in Philosophy (Scuola Normale Superiore, Pisa), MA in Mathematics and Philosophy (Università La Sapienza, Roma). Research : De Risi explores the interplay between mathematical axiomatics, theories of perception, and metaphysics. His studies trace the transition from Euclidean geometry to non-Euclidean conceptions and their philosophical implications. Awards : Recognized with the CNRS Bronze Medal (2022) and the Guidobaldo dal Monte Medal (2022), he has also received fellowships from Princeton and Humboldt. Conferences : He has organized and participated in numerous international seminars and conferences, including the Leibniz Summer School and workshops on Euclid’s Elements. Editorial Roles : Serves as Chief Editor for the Birkhäuser series Frontiers in the History of Science and on editorial boards for journals like Arabic Sciences and Philosophy .

• Road Safety
• Driver Behaviour
• Driving Simulation
• +۶ مورد دیگر

Marco Bassani is a Full Professor at the Department of Environmental, Land and Infrastructure Engineering (DIATI) at Polytechnic University of Turin. He is a member of the SISCON Interdepartmental Center for Infrastructure Safety and actively participates in internationalization initiatives. His research focuses on road safety, driver behavior, driving simulation, road geometry, and sustainable materials including recycled aggregates stabilized with geopolymers. Scientific Branch: CEAR-03/A (Roads, Railways, and Airports) ERC Sector: PE8_3 (Civil Engineering, Waste Treatment) SDG Contributions: Climate Action, Sustainable Cities, Good Health His recent research projects include: GENIUS : Next-generation driver-vehicle interaction for automated systems (2024-2027) ARCADE : Accident risk reduction for vulnerable road users (2023-2025) DIRECTIONS : Driver-road interaction on future infrastructures (2022-2024) Scientific Recognitions: Award at 3rd European Symposium on Bituminous Materials (1999) Advisory Board Member, Transportation Research Board (2020-2022) Editorial Board Member, Transportation Research Part F (2023-) He has supervised numerous PhD students and taught courses on predictive road safety methods, experimental design, and transportation infrastructure at both undergraduate and graduate levels since 2010.

Valentina Franceschiمشاهده پروفایل

دانشیار

• Mathematical Neuroscience
• Sub-Riemannian Geometry
• Cortical-Inspired Models
• +۳ مورد دیگر

Valentina Franceschi is an Associate Professor at the Department of Mathematics of the University of Padua. Her academic journey includes a post-doctoral research career in France (Inria Paris, Université Paris-Sud, Sorbonne Université) and international collaborations through projects like RUBIN-VASE funded by ANR. She specializes in cortical-inspired models for vision and sub-Riemannian geometry. Current affiliation: Department of Mathematics, University of Padua Education: MSc in Mathematics (University of Bologna, 2012), PhD in Mathematics (University of Padova, 2016) Research focus: Mathematical modeling of visual perception, geometric analysis, and image processing applications Selected projects: RUBIN-VASE (ANR-funded), MesuR (Marie Curie Fellowship) Professional memberships: Member of UMI group 'Matematica delle immagini, della visione e delle loro applicazioni'

Soheil Kolouriمشاهده پروفایل

استادیار

• Machine Learning
• Computer Vision
• Deep Learning

Soheil Kolouri is an Assistant Professor in the Department of Computer Science at Vanderbilt University. He leads the Machine Intelligence and Neural Technologies (MINT) Lab, focusing on cutting-edge research in artificial intelligence and computational systems. Education includes a PhD in Computer Science from Carnegie Mellon University (2015), an MSc from Colorado State University (2012), and a BSc from Sharif University of Technology (2010). Research interests center on Machine Learning , Computer Vision , and Deep Learning , with specialized applications in optimal transport theory, medical imaging, continual learning systems, and neural network efficiency. Recent work demonstrates strong cross-disciplinary collaboration with medical and engineering domains. Publications (2024-2025) reveal three dominant themes: Advancements in optimal transport methodologies (Wasserstein distances, partial transport) Innovations in continual/lifelong learning systems Medical AI applications including surgical gesture recognition and cancer detection The MINT Lab explores neural network architectures, reinforcement learning, and efficient model compression techniques for real-world deployment.

Cornelius Neumannمشاهده پروفایل

استاد

• Lighting Technology
• Optics
• Automotive Engineering
• +۳ مورد دیگر

Prof. Dr. Cornelius Neumann is a Professor at the Karlsruhe Institute of Technology (KIT), leading the Lighting Technology Department within the Department of Electrical Engineering and Information Technology (ETIT). His research focuses on automotive lighting technology, optical systems, sensor integration, and advanced metrology techniques. He holds positions in both the Faculty of Electrical Engineering and the Light Technology Institute (LTI), contributing to interdisciplinary projects in automotive innovation and optical engineering. Key research areas include high-radiance light sources, adaptive automotive lighting systems, and optical communication interfaces. His work bridges fundamental optics with practical applications in vehicle safety and automation, addressing challenges like glare reduction, dynamic light distribution, and sensor-based environmental detection. Prof. Neumann has published extensively in journals like Advanced Optical Technologies and SPIE Proceedings, with recent contributions focusing on 6DOF metrology, laser-based systems, and machine learning-enhanced positioning. His academic roles include teaching courses on lighting technology and supervising interdisciplinary projects at LTI. Collaborations involve automotive industry partners and international conferences such as the International Symposium on Automotive Lighting. Consultation hours are held at LTI Room 221 during winter semester 2023/24.

Clara Colombattoمشاهده پروفایل

استادیار

• Social Cognition
• Visual Perception
• Metacognition
• +۴ مورد دیگر

Dr. Clara Colombatto is an Assistant Professor in the Department of Psychology at the University of Waterloo, directing the Vision and Cognition Lab. She holds an Honorary Lecturer position at University College London. She earned her Ph.D. in Psychology from Yale University and a BS in Neuroscience and Philosophy from Duke University. Her research focuses on the perception of other minds and visual roots of social cognition, exploring how attention, gaze dynamics, and metacognition influence social interactions. Key areas include extracting mental states from visual cues, perceptual processing of social groups, and attributions of consciousness to AI systems. Recent work highlights perceptual advantages for social groups in interactive configurations, illusions of confidence in artificial systems, and the role of metacognition in human-robot collaboration. Collaborations span institutions like Princeton, Oxford, and MIT, addressing topics from moral narratives to machine learning ethics. Her lab actively involves undergraduate and graduate students in projects involving eye-tracking, computational modeling, and behavioral experiments. Current students include Simran Bal, Layla Hussain, and Caroline Simpson, with alumni such as Daniela Pasqualini.

• Computer Vision
• Pattern Recognition
• Remote Sensing
• +۳ مورد دیگر

Qingshan Liu is a faculty member at the Nanjing University of Information Science & Technology, School of Information and Control. His research focuses on computer vision, pattern recognition, remote sensing, and artificial intelligence, with specialized applications in satellite imagery analysis, LiDAR processing, and spatiotemporal modeling. Dr. Liu has contributed significantly to neural network architectures for video analysis, 3D segmentation, and domain adaptation techniques. His recent work demonstrates strong engagement with deep learning approaches for environmental monitoring and geospatial analysis, including precipitation nowcasting systems, change detection in remote sensing data, and crowd counting methodologies. Publications show consistent innovation in transformer networks, generative adversarial models, and multimodal learning frameworks applied to real-world problems in urban computing and autonomous systems.

• Artificial Intelligence
• Bioinformatics
• Data Science
• +۴ مورد دیگر

Pengcheng Shi serves as the Associate Dean for Research and Scholarship and PhD Program Director at the Golisano College of Computing and Information Sciences at Rochester Institute of Technology (RIT). He holds a prominent position within the Department of Computing and Information Sciences, where he oversees research initiatives and doctoral programs while maintaining an active research profile across multiple disciplines. Dr. Shi completed his educational journey with a BS from Shanghai Jiao Tong University (China), followed by MS, M.Phil., and Ph.D. degrees from Yale University. His academic foundation spans both Chinese and American institutions, providing him with a diverse educational background that informs his interdisciplinary research approach. Dr. Shi's research spans an impressive breadth of computational disciplines, with particular focus on artificial intelligence applications in biomedical contexts. His work integrates bioinformatics, data science, and health informatics to develop computational approaches for medical imaging analysis, cardiac electrophysiology modeling, and diagnostic reasoning processes. Recent publications reveal an expanding research portfolio that now includes significant contributions to battery technology, materials science, and advanced 3D computer vision techniques for robotics and autonomous systems. His research demonstrates a unique ability to bridge theoretical computer science with practical applications in healthcare and energy storage. Dr. Shi's scholarly output shows a clear evolution from biomedical imaging and computational physiology toward broader applications in materials science and autonomous systems. While his early work focused primarily on cardiac modeling, medical image analysis, and diagnostic reasoning processes, his recent publications indicate a strategic expansion into energy storage technologies, particularly battery chemistry and interfacial engineering, alongside continued work in 3D computer vision and point cloud processing for robotics applications. As Associate Dean for Research and Scholarship, Dr. Shi plays a critical leadership role in shaping the research direction of the college while actively mentoring doctoral students through his PhD program director responsibilities. His teaching portfolio includes advanced courses such as CISC-810 Research Foundations, CISC-890 Dissertation and Research, and CISC-896 Colloquium in Computing and Information Sciences, indicating his commitment to developing the next generation of computing researchers. Dr. Shi's laboratory work appears to focus on computational biomedical imaging, with recent expansions into battery technology research and 3D vision systems. His interdisciplinary approach connects computer science with biomedical engineering, materials science, and robotics, creating a research environment that bridges traditionally separate domains. This cross-pollination of ideas across disciplines has positioned his work at the intersection of multiple rapidly advancing technological fields.

• Artificial Intelligence
• Machine Learning
• Medical Diagnosis
• +۹ مورد دیگر

Henning Christiansen is a Professor at Roskilde University's Department of People and Technology, affiliated with the Programming, Logic and Intelligent Systems (PLIS) research group. He is also a Knight/Chevalier of the Dannebrog (2018) and serves as Coordinator for International Student Exchanges in Computer Science, Informatics & Humanities-Technology Studies. His research spans Deep Learning for medical diagnosis, Robotics in theatrical performances, Constraint Logic Programming, Probabilistic-logic models, Natural Language Processing, Logical methods for context comprehension, Interactive art installations, Database query systems, Cultural technology projects like Viskbook. Key projects include SEAFACTS (digital maritime history platform), EXPLAIN-ME (explainable AI in medical education), NDH (cross-border health data collaboration). Publications highlight contributions to AI ethics, robot choreography, medical image analysis, constraint-based formal methods. He has supervised over 16 projects and 285+ activities, including international conferences and exhibitions. His photography has been displayed in Roskilde libraries and cultural venues.

Sanja Fidlerمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• 3D Reconstruction
• +۵ مورد دیگر

Sanja Fidler is an Associate Professor at the University of Toronto (Department of Computer Science) within the Mathematical and Computational Sciences School. She is also a co-founder and affiliated faculty at the Vector Institute and serves as VP of AI Research at NVIDIA. Her research focuses on the intersection of Computer Vision, Machine Learning, and Graphics, with emphasis on 3D reconstruction, generative models, and interactive methods. She previously held a Research Assistant Professor position at the Toyota Technological Institute at Chicago. Research Interests: Dr. Fidler specializes in Computer Vision and Machine Learning, particularly in areas such as 3D vision, 3D reconstruction/synthesis, object detection, and interactive scene understanding. Her work bridges graphics and vision, addressing challenges in geometric representations, generative models, and real-world applications like medical imaging and autonomous systems. Awards: She has received notable awards including the Canada CIFAR AI Chair (2018), Connaught Innovation Award (2020), NVIDIA Pioneer of AI Award (2016), and multiple outstanding reviewer distinctions at top conferences. Her teaching excellence was recognized with the Professor of the Year award by UofT's CS Student Union in 2014/2015. Collaborations & Labs: Leading the NVIDIA Toronto AI Research Lab and contributing to initiatives at the Vector Institute, her work integrates academic and industrial research. She co-organized workshops on topics like 'Geometry Meets Deep Learning' and '3D Indoor Scene Understanding' at major conferences.

Nicholas Rhinehartمشاهده پروفایل

استادیار

• Robotics
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Nicholas Rhinehart is an Assistant Professor at the University of Toronto, holding primary appointments in the Institute for Aerospace Studies and cross-appointments in the Department of Computer Science and Robotics Institute. He leads the Learning, Embodied Autonomy, and Forecasting (LEAF) Lab, focused on developing autonomous systems that operate safely in complex environments through advancements in reinforcement learning, imitation learning, and deep learning. His research bridges robotics, computer vision, and AI to create efficient algorithms for autonomous decision-making. Education: Ph.D. in Robotics from Carnegie Mellon University (2014–2019), M.S. in Robotics (2013–2014), and B.S. in Engineering and B.A. in Computer Science from Swarthmore College (2008–2012). Prior to academia, he was a Senior Research Scientist at Waymo Research (2022–2024), a Postdoctoral Scholar at UC Berkeley’s RAIL Lab (2019–2022), and held research internships at NEC Labs, Uber Advanced Technologies Group, and Berkeley. Research Interests: His work emphasizes autonomous systems, reinforcement learning, imitation learning, and generative models for 3D scene forecasting. Recent publications explore diverse topics like residual reward models, traffic prediction, and social navigation using deep learning techniques. Labs/Teams: PI of the LEAF Lab, which develops foundational algorithms for embodied autonomy and forecasting in robotics and AI.

Lucy Somersمشاهده پروفایل

پژوهشگر ارشد

• Vision Science
• Color Perception
• Human Visual System
• +۳ مورد دیگر

Dr. Lucy Somers is a Visiting Research Fellow at the University of Sussex's School of Psychology, combining roles as a practicing artist and scientific researcher. Her work focuses on color vision, exploring how human visual systems process color through interdisciplinary approaches. She collaborates with the Sussex Colour Group and the Baby Lab , investigating how life experiences influence color perception. Her research uses advanced visual stimuli to study sensory processing, informed by her artistic ethos of 'sensory excess.' Research Interests : Lucy's scientific work examines color manipulation in human vision, leveraging artistic techniques to create controlled experiments with visually complex stimuli. She explores intersections between art and science, such as collaborations with artist Yoshua Okon to design color vision tests that create cultural dialogues based on audience visual differences. Her research bridges psychology, neuroscience, and art, emphasizing the interplay between perception and lived experience. Consulting & Artistic Work : Lucy's painting practice focuses on series-based explorations of objects (e.g., chairs, poinsettias) and abstract geometric fields. Her art critiques spatial perception and materiality, with pieces like Midnight Traffic and Hold It sold commercially. She merges artistic and scientific methods, using color as a unifying discipline. Labs & Collaborations : Affiliated with the Sussex Colour Group , she studies infant and adult color perception. Her work with the Baby Lab explores developmental aspects of visual processing. Ongoing projects include color vision deficiency-based art collaborations. Grants & Awards : No specific grants or awards explicitly detailed in provided texts.

Lars Strotherمشاهده پروفایل

دانشیار

• Perceptual Organization
• Cognitive Neuroscience
• Visual Perception
• +۶ مورد دیگر

Lars Strother is an Associate Professor in Psychology at the University of Nevada, Reno, affiliated with the Institute for Neuroscience. His research focuses on sensory, cognitive, and motor functions using neuroimaging (fMRI) and behavioral methods. Central interests include perceptual organization, the neural basis of reading, face recognition, visual aesthetics, and cerebral laterality. He holds a Ph.D. from the University of Virginia (2006) and a B.S. from the University of Wisconsin-Madison (1992). Research interests span multiple domains including: Perceptual organization and form perception Neural mechanisms of word recognition and reading Face perception and object recognition Action, intention, and motor control Visual aesthetics and art cognition His recent work explores hemispheric specialization in visual processing, the effects of divided attention on face recognition, and the real object advantage in memory. Notable contributions include studies on the Visual Word Form Area's role in developmental dyslexia and the functional separation of font-invariant neural populations. Labs: Directs the Perception and Cognitive Neuroscience Lab . Courses taught include advanced topics in perceptual organization, neuroaesthetics, and vision-language interactions.

• Robotics
• Control Systems
• Industrial IT
• +۳ مورد دیگر

Geir Hovland is a Professor at the Department of Engineering Sciences, University of Agder. He holds an MSc in Engineering Cybernetics from NTNU (1993) and a PhD in Robotics from the Australian National University (1997). His research focuses on robotics, control systems, industrial IT, and modeling/identification of dynamic systems. He serves as Chief Editor of the MIC Journal . Research Interests: Robotics and automation, including flexible manipulators and sensor networks Control systems for offshore and industrial applications Parallel kinematic machines and mechatronic systems Blockchain stability analysis (nonlinear control) Publications: Over 100 peer-reviewed articles in journals like Robotics , IEEE Transactions , and MIC Journal , with a focus on advanced control strategies, sensor optimization, and robotics in harsh environments. Labs/Teams: Leads the Norwegian Motion-Laboratory and collaborates with industry partners on projects like autonomous mooring systems and offshore crane modeling.