جست‌وجوی استاد و پژوهشگر

Thomas Williamsمشاهده پروفایل

دانشیار

• Human-Robot Interaction
• Natural Language Processing
• Artificial Intelligence
• +۳ مورد دیگر

Thomas Williams is an Associate Professor of Computer Science at the Colorado School of Mines, where he directs the MIRRORLab (Mines Interactive Robotics Research Lab). He earned his PhD in Computer Science and Cognitive Science from Tufts University in 2017. His educational background includes: BA in Computer Science, Hamilton College, 2011 MS in Computer Science, Tufts University, 2013 PhD in Computer Science: Cognitive Science, Tufts University, 2017 Williams' research focuses on artificial intelligence for human-robot interaction, especially natural language understanding and generation in uncertain environments. His work integrates cognitive science principles from linguistics and psychology to develop context-aware robotic systems. Key areas include Human-Robot Interaction, Natural Language Processing, Robot Ethics, and Augmented Reality, with emphasis on ethical implications and social dynamics in human-robot communication. Analysis of his publications (2015-2020) reveals a clear trajectory toward context-sensitive dialogue systems that handle ambiguity, social norms, and ethical considerations. His work increasingly explores multimodal interaction through AR/VR and examines how language-capable robots influence human moral frameworks, with growing attention to gender dynamics and noncompliance behaviors in social robotics. His notable awards include: New and Future AI Educator Award, EAAI (2017, 2018) Teaching Fellowship, Tufts Graduate Institute for Teaching (2015) Doctoral Consortia participation at YRRSDS (2014), HRI (2015), and AAAI (2016) Williams teaches Human-Robot Interaction, Robot Ethics, and Computer Vision courses while leading externally funded research. His work receives support from NSF, ONR, ARL, and Early Career awards from NSF, NASA, and AFOSR, focusing on grants that advance context-aware natural language interaction in robotics. As director of the MIRRORLab, he oversees research on human-robot interaction systems that dynamically adapt to environmental, cognitive, social, and moral contexts, with applications in assistive robotics and collaborative workspaces.

Tim Blackwellمشاهده پروفایل

مدرس ارشد

• Swarm Intelligence
• Computer Music
• Cellular Automata
• +۳ مورد دیگر

Tim Blackwell is a Senior Lecturer in the Computing Department at Goldsmiths, University of London. He holds a BSc in Physics (1980), a DPhil in Theoretical Physics (1984), and an MSc in Computer Science (2001). His research focuses on swarm intelligence, computational music, and optimization algorithms, with notable contributions to particle swarm optimization and tomographic reconstruction. Education: BSc Physics, 1980 DPhil Theoretical Physics, 1984 MSc Computer Science, 2001 His work bridges computational methods with artistic and scientific applications, including projects like 'A Sound You Can Touch' and 'Swarm Techtiles.' Recent research explores optimization benchmarks, environmental applications (e.g., illegal fishing detection), and evolutionary algorithms. Key publications span journals like IEEE Transactions on Evolutionary Computation and conferences such as GECCO. His work emphasizes interdisciplinary approaches, integrating computational techniques with fields like music, image processing, and environmental science.

• Perception
• Attention
• Motor Control
• +۳ مورد دیگر

Richard Abrams is a Professor of Psychological & Brain Sciences at Washington University in St. Louis. His research focuses on perception, attention, and motor control, particularly investigating how mental mechanisms underlie eye and limb movements and visual attention. He holds a PhD and MA from the University of Michigan and a BS from Columbia University. His work explores perceptual objects in attention/action, visual stimuli effects, and distractor suppression. Key research themes include attentional capture by motion onset and value-driven stimuli, the role of hand proximity in vision, and embodied cognition principles. His recent studies emphasize attentional suppression mechanisms and spatial task relevance modulation. Abrams’ lab website provides further details on ongoing projects and experimental paradigms. His research has been featured in Ampersand for discoveries like visual distraction’s 'silver lining,' where distractor suppression enhances focus on competing stimuli. Grants and advising details are not explicitly detailed in the provided text.

Scott Noklebyمشاهده پروفایل

استاد

• Robotics Engineering
• Mechatronics Systems
• Automation Technologies
• +۷ مورد دیگر

Dr. Scott Nokleby is an Associate Dean, Academic and Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology. He holds a PhD in Mechanical Engineering from the University of Victoria (2003), and has over two decades of academic leadership and research experience. His primary roles include academic administration and advancing robotics and mechatronics research. Education: PhD (Mechanical Engineering, UVic, 2003), MASc (Mechanical Engineering, UVic, 1999), BEng (Mechanical Engineering with Co-op, UVic, 1997). Research interests focus on advanced robotics topics including parallel manipulators, mobile-manipulator systems, kinematic redundancy analysis, and autonomous systems. His work emphasizes practical applications such as radiation mapping robots, perching drones, and robotic hazard management. Notable contributions include optimal design methodologies for mechanisms and control systems for human-robot interaction. Publications reflect expertise in robotics systems, mechatronics, and nuclear engineering applications. Recent work explores multi-robot task allocation, autonomous navigation, and advanced control algorithms. Awards: Fellow of ASME (2022) Fellow of CSME (2016) CSME Best Paper Award (2014) UOIT Research Excellence Award (2008) CSME I.W. Smith Award (2007) Teaches graduate courses in advanced robotics, mobile robotic systems, and mechanism design. Active in academic administration, he bridges teaching innovation with engineering education through projects like tablet computing integration in design courses. Labs/Teams: Leads robotics research initiatives focused on autonomous systems development, with collaborations spanning nuclear safety, mining automation, and aerospace applications.

Fabien Moutardeمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Computer Vision
• +۸ مورد دیگر

Fabien Moutarde is a Full Professor and Director of the Center for Robotics at MINES ParisTech (PSL University, Paris, France). He holds a PhD in Physics and an Habilitation to Direct Research in Engineering Sciences. Dr. Moutarde coordinates French engineering education at ParisTech_Shanghai (SPEIT) in China. Research Areas Deep Learning & Reinforcement Learning Computer Vision for Intelligent Vehicles Collaborative Robotics Traffic Analysis & Forecasting Human Gesture Recognition Recent Article Trends His work focuses on autonomous driving using Deep Reinforcement Learning, pedestrian trajectory prediction with spatio-temporal attention, and multi-modal localization techniques combining vision with Wi-Fi. Key applications include urban traffic analysis, collaborative robotics, and end-to-end driving systems. Leadership & Teaching Co-created specialized Machine Learning courses Pioneered Deep Reinforcement Learning lectures Led French-Chinese academic coordination Former UML/Java curriculum developer Publications With 28 h-index, his research includes 30+ IEEE/ACM publications on autonomous vehicles, gesture recognition, and traffic mining. Representative conferences: CVPR, NeurIPS, IROS, ITSC.

Daniel Rothمشاهده پروفایل

استاد

• Artificial Intelligence
• Virtual Reality
• Augmented Reality
• +۶ مورد دیگر

Prof. Dr. Daniel Roth is a Professor of Machine Intelligence in Orthopedics at the TUM School of Medicine and Health at Technical University of Munich (TUM), appointed in September 2023. His research focuses on human-machine interfaces in medicine, including AI, virtual/augmented reality (XR) technologies for surgical assistance systems, disease diagnosis, and rehabilitation. Previously, he held a junior professorship in Human-Centered Computing and Extended Reality at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Education: Bachelor's/Master's in Media and Imaging Technology (TH Köln) PhD in Computer Science (Julius-Maximilians-Universität Würzburg) Research Interests: Roth’s work integrates AI and extended reality to solve healthcare challenges. Key areas include: XR-based surgical training and teleconsultation systems AI-driven analysis of surgical workflows Embodiment in virtual environments for medical applications Accessibility technologies for visually impaired users Publications: Recent work emphasizes immersive medical visualization, telemedicine systems, and user embodiment in VR. Key themes include: XR applications in surgery and patient care 3D teleconsultation for emergency scenarios AI-enhanced anatomy visualization Awards: Best Demo Honorable Mention (IEEE VR, 2021) Best Poster Award (ISMAR, 2020) IEEE TVCG Best Journal Paper (2018) Grants & Teams: Active in interdisciplinary projects at Klinikum rechts der Isar. Collaborates with industry partners on AR/VR healthcare solutions. No formal advisee list is provided, but his work involves multi-disciplinary teams. Labs/Teams: Leads machine intelligence initiatives in TUM’s medical school, focusing on translational research between engineering and clinical practice.

Kathryn Dumbletonمشاهده پروفایل

استاد بالینی

• Contact Lenses
• Ocular Surface
• Dry Eye
• +۳ مورد دیگر

Kathryn Dumbleton is a Clinical Professor at the Herbert Wertheim School of Optometry & Vision Science at University of California, Berkeley. She also serves as Director of Professional Engagement at Berkeley Vision CURE (Children’s Uncorrected Refractive Error). Originally trained as an optometrist in the UK, she earned her MSc in Physiological Optics and PhD in Vision Science from University of Waterloo in Canada. Her academic appointments include roles at University of Waterloo and University of Manchester, where she led clinical research at the Centre for Contact Lens Research. Research Interests: Kathryn's work focuses on contact lenses, ocular surface dynamics, dry eye, and healthcare compliance. Her studies analyze tear film kinetics, lens wettability, and presbyopia correction, with a global perspective on clinical outcomes and patient comfort. Scientific Contributions: She has authored over 150 peer-reviewed publications and abstracts, seven book chapters, and numerous professional manuscripts. Her leadership roles include Vice President of the International Society for Contact Lens Research (ISCLR) and Past President of the American Academy of Optometric Foundation. Honors: Fellow of the American Academy of Optometry (FAAO) Diplomate of the Cornea, Contact Lens, and Refractive Technologies Section (CCLRT, AAO) Fellow of the British Contact Lens Association (FBCLA) Vice President, International Society for Contact Lens Research (ISCLR)

• Computational Creativity
• Human-Computer Interaction (HCI)
• Artificial Intelligence (AI)
• +۳ مورد دیگر

Dr. Kazjon Grace is an Associate Professor in Computational Design at the University of Sydney’s School of Architecture, Design and Planning. He holds a prestigious Australian Research Council DECRA Fellowship and leads research on computational creativity, AI, and human-computer interaction (HCI). His work focuses on enabling AI systems to collaborate creatively with humans, modeling concepts like novelty, surprise, and curiosity to enhance design processes. He has secured over AU$2.5M in research grants, including DECRA funding. Grace’s research spans co-creative tools, affective computing, and AI-driven design systems, with applications in urban planning, robotics, and education. His academic background includes a strong focus on interdisciplinary research at the intersection of design, AI, and cognitive science. He teaches courses on designing with AI and information visualization. Grace’s work emphasizes ethical and human-centered approaches to AI, aiming to foster innovation through collaborative systems. He is affiliated with the Sydney Nano Institute and the Design Lab, fostering cross-disciplinary collaborations. Grace’s research outputs include over 50 peer-reviewed publications, with recent contributions to conferences like ACM/IEEE HRI and journals such as IEEE Transactions on Affective Computing. His DECRA-funded project explores how curiosity-driven systems can diversify creative behavior in design processes. He actively supervises PhD and master’s students in computational creativity and AI applications. Key awards include the ARC DECRA Fellowship (2017), recognizing his innovative work. His projects often bridge theory and practice, addressing societal challenges like sustainability and education through technological innovation.

Euan Ritchieمشاهده پروفایل

استاد

• Wildlife Ecology
• Conservation Biology
• Landscape Ecology
• +۵ مورد دیگر

Professor Euan Ritchie is a leading academic in Wildlife Ecology and Conservation at Deakin University's School of Life and Environmental Sciences. His research focuses on biodiversity conservation, invasive species management, and fire ecology, with a strong emphasis on translating ecological science into policy and management. He holds a PhD from James Cook University (2007) and has held roles including ARC Research Associate and postdoctoral fellow. Ritchie has been recognized with prestigious awards such as the 2021 Australian Ecology Research Award and the 2013 Eureka Award for Environmental Research. His work spans cross-disciplinary themes, including species distribution dynamics, conservation of native mammals, and ecosystem resilience in the face of climate change. He actively contributes to professional bodies like the Ecological Society of Australia and the Australian Mammal Society, where he serves as President. Ritchie advocates for evidence-based environmental policies and collaborates with stakeholders to address threats like habitat loss and invasive species. Education: PhD (Wildlife Ecology) from James Cook University, Graduate Certificate in Higher Education (Deakin University), B.Sc. (Hons) from James Cook University. Research Groups: Applied Ecology & Conservation Research Group, The Biodiversity Council. His recent publications address megafires' ecological impacts, predator-prey dynamics, and policy recommendations for biodiversity protection. Ritchie emphasizes collaboration with Indigenous communities and innovative technologies like camera traps for wildlife monitoring. He maintains active media engagement through platforms such as The Conversation, advocating for science communication and public awareness.

Peter Hallمشاهده پروفایل

استاد

• Computer Vision
• Computer Graphics
• Medical Imaging
• +۵ مورد دیگر

Professor Peter Hall is a faculty member in the Department of Computer Science at the University of Bath, affiliated with the Centre for Digital Entertainment (CDE), Centre for the Analysis of Motion, Entertainment Research & Applications (CAMERA), Visual Computing, and the Bath Institute for the Augmented Human. His research focuses on computer vision applications in computer graphics, including style transfer, tactile interfaces for visual impairment, and medical imaging techniques. He has led and collaborated on projects funded by EPSRC and EU Horizon 2020, such as the CAMERA initiative and studies on multisensory interaction. His expertise spans computer vision fundamentals like image segmentation, object recognition, and generative adversarial networks (GANs), alongside interdisciplinary work in medical imaging, robotics, and accessibility technologies. Notable contributions include deep learning-based MRI reconstruction, geometric style transfer algorithms, and tactile image generation for visually impaired users. Education details not explicitly stated in provided texts Projects include IAA tactile display systems, CAMERA motion analysis, and generative adversarial network research Advising and grants involve leadership roles in EPSRC-funded projects like 'Acquiring Complete and Editable Outdoor Models' and EU initiatives. His work aligns with UN SDGs related to health innovation and accessibility. Current research emphasizes domain adaptation techniques and cross-depiction problem solutions in computer vision.

Miles Hansardمشاهده پروفایل

مدرس ارشد

• Computer Vision
• 3D Scene Reconstruction
• Robotics
• +۶ مورد دیگر

Dr. Miles Hansard is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on 3D scene reconstruction, multi-view imaging, depth cameras, radar localization, and human vision. He specializes in geometric aspects of vision, image processing, and robotics applications. His teaching includes modules on Computer Graphics (for both postgraduate and undergraduate students) and Introduction to Multimedia Systems. These courses cover topics like 3D graphics algorithms, human perception of color, and multimedia system fundamentals. Dr. Hansard's work integrates sensor technologies such as time-of-flight cameras and millimeter-wave radar to improve 3D reconstruction and robotic systems. He contributes to projects like the GRIP software framework for robotic grasping and has published extensively in journals like IEEE Transactions on Image Processing and the International Journal of Neural Systems. He is affiliated with the Centre for Multimodal AI, where he collaborates on research involving sensor fusion, autonomous systems, and visual perception. His expertise bridges computer vision, robotics, and multimedia engineering.

Alberto Quattrini Liمشاهده پروفایل

دانشیار

• Robotic Exploration
• Multi-Agent Systems
• Underwater Robotics
• +۱ مورد دیگر

Alberto Quattrini Li is Associate Professor of Computer Science at Dartmouth College, directing the Reality and Robotics Laboratory. His research develops autonomous systems for aquatic environments with applications in environmental monitoring and underwater archaeology. Current NSF-supported projects focus on multi-robot aquatic exploration and archaeological inspection systems. Research thrusts include surface vehicle obstacle avoidance in waterways, low-cost underwater sensing solutions, autonomous underwater construction, and laser-based air-underwater communication. Recent innovations include buoyancy-enabled manipulation systems and multi-sensor SLAM techniques for underwater operations. Quattrini Li advises six PhD students and collaborates with archaeologists through NSF grants. His laboratory prototypes systems using custom surface and underwater robotic platforms. No scientific awards are documented in the source materials.

Philip Jacksonمشاهده پروفایل

استاد

• Machine Audition
• Audio-Visual Machine Learning
• Spatial Audio
• +۹ مورد دیگر

Philip Jackson is a Professor in Machine Audition at the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering. His research focuses on audio-visual machine learning, spatial audio technologies, object-based media production, and responsible AI applications. He has over 200 publications and an h-index of 30, contributing to projects like Nephthys, BALTHASAR, and SAVEE. He served as an associate editor for Computer Speech and Language and reviewer for major journals like IEEE/ACM Transactions on Audio, Speech and Language Processing. Key research interests include sound localization, audio-visual tracking, reverberation modeling, and ethical implications of AI in media. His work spans datasets such as Tragic Talkers, SurrRoom, and ForecasterFlexOBM, advancing immersive audio-visual systems and personalized media experiences. Notable projects include spatial audio reproduction for VR, parametric room acoustics, and citizen council research on algorithmic transparency. He has advised over 20 PhD/Master’s students and collaborates with industry on applications like the Catalan Pavilion's Venice Biennale installation. His grants include UK postdoctoral fellowships and leadership in EU-funded initiatives like UDRC2 and QESTRAL.

Chris Lebronمشاهده پروفایل

دانشیار

• Political Philosophy
• Social Theory
• Philosophy of Race
• +۳ مورد دیگر

Chris Lebron is an Associate Professor of Philosophy and Chair of the AAP Master of Liberal Arts Program at Johns Hopkins University's Krieger School of Arts & Sciences. He holds a PhD from MIT and specializes in political philosophy, social theory, the philosophy of race, and democratic ethics. His work bridges academic scholarship and public discourse, addressing contemporary issues of racial justice and democratic ethics. Education PhD in Philosophy from MIT Research & Awards Lebron's research examines systemic racial injustice and democratic renewal. His books include The Color of Our Shame: Race and Justice In Our Time (winner of the APSA First Book Prize) and The Making of Black Lives Matter: A Brief History of An Idea . He received the 2018 Hiett Prize in the Humanities for his impactful contributions to contemporary culture. His work appears in venues like The New York Times, Boston Review, and The Atlantic. Public Engagement Lebron is a prominent public intellectual, contributing op-eds and essays on race, justice, and democracy. His scholarship emphasizes ethical responses to systemic racism and the moral obligations of democratic societies.

Mohammad Naser Sabet Jahromiمشاهده پروفایل

استادیار

• Explainable Artificial Intelligence
• Biometrics
• Machine Learning
• +۴ مورد دیگر

Mohammad Naser Sabet Jahromi is an Assistant Professor at the Department of Architecture, Design and Media Technology, Aalborg University, Denmark. He is affiliated with the Visual Analysis and Perception Centre for AI Ethics, Law and Policy. His research focuses on explainable AI (XAI), biometrics, machine learning, and ethical AI applications in legal and medical domains. He actively participates in interdisciplinary projects like REPAI: Responsible AI for Value Creation (2023-2027), which explores AI ethics, computational discourse analysis, and value-driven AI systems. His educational background is not explicitly detailed in the provided text, but his research trajectory indicates strong expertise in computer science and AI systems. Key research interests include interpretable machine learning models, privacy-preserving biometric systems, and AI applications in asylum adjudication and educational assessment. Recent work emphasizes developing XAI frameworks like SIDU-TXT for NLP, verifying machine unlearning mechanisms, and automating large-classroom assessments. His projects bridge technical AI advancements with societal implications through collaborations with legal and ethical scholars. Notable contributions include datasets evaluating XAI methods in medicine and methodologies for transparent AI decision-making. He has participated in conferences such as ICPR 2024 and JURISIN 2023, showcasing interdisciplinary research impact.