جست‌وجوی استاد و پژوهشگر

• Nanomanufacturing
• Self-powered Nanosystems
• Renewable Energy
• +۳ مورد دیگر

Dr. Wenzhuo Wu is a Professor at Purdue University's Edwardson School of Industrial Engineering. His research focuses on advanced manufacturing techniques, renewable energy systems, and human-integrated technologies. With expertise spanning nanomaterials, sensors, and energy harvesting devices, Dr. Wu develops innovative solutions for sustainable technology and healthcare applications. His research interests center on nanomanufacturing processes, self-powered nanosystems for IoT applications, renewable energy conversion technologies, and intelligent sensor networks for human-machine interfaces. Key focus areas include triboelectric nanogenerators, 2D materials engineering, flexible electronics, and printed wearable devices. Recent publications demonstrate consistent focus on energy harvesting materials (33% of articles), tellurium-based devices (27%), and wearable sensors (20%). The work shows strong interdisciplinary integration of materials science, electrical engineering, and robotics. Emerging themes include sustainable manufacturing (2024), quantum material properties (2023), and multi-functional sensor systems (2023). Dr. Wu maintains active research facilities for nanomaterial synthesis and device prototyping. His team collaborates with multiple departments including Materials Engineering and Electrical Engineering, focusing on translational research with industry partners in energy and healthcare sectors.

Todd Murpheyمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Data-Driven Control
• +۴ مورد دیگر

Todd Murphey is a Professor of Mechanical Engineering and Director of the Master of Science in Robotics Program at Northwestern University's McCormick School of Engineering. He leads the Center for Robotics and Biosystems and holds roles in academic administration, including directing robotics education initiatives. His work bridges control theory, robotics, and embodied intelligence. Education: Ph.D. in Control and Dynamical Systems from California Institute of Technology (Pasadena, CA) B.S. in Mathematics (summa cum laude) from University of Arizona (Tucson, AZ) Research Interests focus on computational methods in data-driven control, information theory in physical systems, and embodied intelligence. Example projects include robotic exploration via mechanical contact, human-in-the-loop control, and shared control systems. His work often explores topics like reinforcement learning, swarm robotics, and human-robot collaboration. Awards include the National Science Foundation CAREER Award (2006) and membership in the Defense Science Study Group (2014-2015). He served as Editor for IEEE Transactions on Robotics (2014-2018) and is currently on the Air Force Scientific Advisory Board. Teaching and Outreach include developing the Coursera MOOC 'Everything Is the Same: Modeling Engineered Systems' (over 18,000 enrollments) and undergraduate courses ME 314 (Machine Dynamics) and ME 454 (Optimal Control Methods). He emphasizes project-based learning in all courses. Labs and Teams involve leadership in the Center for Robotics and Biosystems, focusing on interdisciplinary research in robotics, control systems, and embodied AI. Recent projects span colloidal robotics, swarm intelligence, and mechanical computing.

• Wireless Communications (5G/6G)
• AI/Machine Learning Applications
• Cyber Security and Privacy
• +۹ مورد دیگر

Dr. Diep N. Nguyen is an Associate Professor and Associate Dean (Teaching & Learning) at the University of Technology Sydney (UTS), leading the Agile Communications and Computing Group within the Faculty of Engineering and Information Technology. He holds adjunct positions at universities in the US, Vietnam, and Japan. His research focuses on wireless communications (5G/6G), AI-driven networking, cybersecurity, and edge computing, with over 200 publications and $7M in grants from NSF, ARC, and industry partners. He has supervised 15 PhD students, many now in senior academic and industry roles globally. Key roles include Director of Transnational Education, co-founder of Food Agility CRC, and leadership in international initiatives like APEC DARE. Education: Ph.D. and M.E. in Electrical and Computer Engineering from The University of Arizona and UC San Diego, respectively. Professional service includes editorial roles for IEEE Transactions and conference leadership (e.g., IEEE VTC, INFOCOM). Awards include UTS Research Excellence Awards (2021, 2024), DECRA (2015), and industry recognitions like the 2024 iAward and IoT Impact Award. Research emphasizes AI applications in communications, cybersecurity for Industry 4.0, and 6G security. Notable projects include Australia-Vietnam 5G/6G Centre ($2.1M) and DFAT-funded initiatives for disaster management. Books authored include Deep Reinforcement Learning for Wireless Communications and Generative AI for Communications Systems . Teaching focuses on integrating research into courses like Cloud Security and Industry 4.0 Technologies. His pedagogy emphasizes self-directed learning through authentic research tasks, supported by real-time feedback channels.

Ferdinando Mussa-Ivaldiمشاهده پروفایل

استاد

• Biomedical Engineering
• Neuroprosthetics
• Robotics
• +۵ مورد دیگر

Ferdinando Mussa-Ivaldi is a Professor of Physiology, Physical Medicine & Rehabilitation, and Biomedical Engineering at Northwestern University's McCormick School of Engineering. He is affiliated with the Rehabilitation Institute of Chicago (RIC) and the Master of Science in Robotics Program. His research focuses on bi-directional brain-machine interfaces, assistive robotics, and sensory-motor learning mechanisms. Key projects include developing adaptive body-machine interfaces for spinal injury patients, studying neural plasticity in motor adaptation, and understanding temporal representation in the nervous system. Research interests span computational models of motor primitives, haptic perception under delays, and robotic rehabilitation tools. His work bridges neuroscience, robotics, and biomedical engineering to advance assistive technologies and neurorehabilitation. Notable contributions include studies on force control, internal models of limb dynamics, and the design of immersive virtual environments for training. Current affiliations include leadership roles in the Robotics Laboratory at RIC, where he investigates human-robot co-adaptation and clinical applications of body-machine interfaces. His interdisciplinary approach integrates clinical needs with advanced engineering solutions to enhance motor recovery and assistive device control.

• Underwater Robotics
• Robot Perception
• Machine Vision
• +۴ مورد دیگر

Md Jahidul Islam is the Yangbin Wang Rising Star Professor at the Department of Electrical & Computer Engineering , part of the College of Engineering at the University of Florida. His research focuses on underwater robotics, autonomous systems, and machine vision with applications in marine environments. Education: PhD in Robotics, University of Minnesota (2021) MSc in Artificial Intelligence, BUET (2015) BSc in Computer Science & Engineering, BUET (2012) Research Interests: His work spans robot perception , underwater robotics , and machine vision . He develops autonomous systems for underwater cave exploration, acoustic communication, and environmental monitoring. His RoboPI Lab advances technologies like semantic guidance for marine robots and edge-centric real-time processing for underwater scenes. Key innovations include CavePI for autonomous cave navigation and LightViz for distributed light pollution monitoring. Publications: Recent work emphasizes underwater data center acoustics, natural language-driven mission programming, and robust communication systems. His research bridges robotics, computer vision, and environmental science, often with practical deployments in marine surveillance and resource management. Awards: Doctoral Dissertation Fellowship (University of Minnesota, 2019–20) RAS Travel Grant (ICRA 2019) IEEE/RSJ Travel Grant (IROS 2017) ADC Graduate Fellowship (Wireless Tech, 2015–16) Advising & Labs: Leads the RoboPI Lab , focusing on underwater robotics and autonomous systems. His research is supported by grants in robotics, environmental monitoring, and edge computing. Collaborations span academia and industry to advance marine technology and AI-driven environmental solutions.

Alexander Aminiمشاهده پروفایل

پژوهشگر

• Autonomous Systems
• Machine Learning
• Robotics
• +۹ مورد دیگر

Alexander Amini is a Postdoctoral Researcher at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) , working under the guidance of Prof. Daniela Rus. He earned his PhD (2022), Master of Science (2018), and Bachelor of Science (2017) in Computer Science from MIT, with a minor in Mathematics. Amini co-founded Liquid AI and Themis AI , and serves as a lead organizer and lecturer for MIT's deep learning course 6.S191 . His research focuses on the science and engineering of autonomy , particularly for safe decision-making in uncertain environments. Key contributions include Developing end-to-end control systems for autonomous agents Formulating confidence metrics in neural networks Creating mathematical models for human mobility analysis Innovating inertial refinement systems Amini's publications reveal trends across autonomous vehicle control , robust machine learning , and uncertainty quantification . His work spans continuous-time neural models, sensor optimization for soft robotics, and applications in molecular discovery and financial modeling. Notable collaborations include projects with NVIDIA and Harvard Medical School. Scientific recognition includes 2011 EU Contest for Young Scientists Grand Prize 2011 BT Young Scientist overall winner 2017 NSF Graduate Fellowship 2020 MIT Outstanding Mentor Award 2021 JP Morgan Fellowship As part of MIT's Distributed Robotics Laboratory , Amini works on systems that combine robotics with everyday life applications, supported by grants from FinTech@CSAIL and MachineLearningApplications@CSAIL for bias mitigation in financial and clinical domains.

Lynette A Jonesمشاهده پروفایل

عضو هیئت علمی

• Haptic interfaces
• Thermal displays
• Skin mechanics
• +۷ مورد دیگر

Lynette A Jones is a Senior Research Scientist in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). She has been with MIT since 1994 and leads the Cutaneous Sensory Lab, which develops tactile, haptic, and thermal displays for diverse applications. Prior to MIT, she was a tenured Associate Professor in the Faculty of Medicine at McGill University. Education: B.A. in Psychology, University of Auckland, 1976 M.A. in Psychology, University of Auckland, 1978 Ph.D. in Psychology, McGill University, 1983 Research Interests: Dr. Jones specializes in haptic and tactile interface design, thermal display development, and skin mechanics. Her work bridges human-machine interaction, focusing on cutaneous communication systems and vibrotactile pattern recognition. She employs psychophysics, biomechanical modeling, and multisensory integration to advance wearable haptic technology. Key Article Trends: Her recent publications emphasize thermal and vibrotactile actuation methods, multisensory display integration, and MR fluid-based haptic devices. Themes include tactile perception, sensorimotor control, skin biomechanics, and applications in wearable technology and biomedical engineering. Scientific Awards: Meritorious Service Award, IEEE Transactions on Haptics, 2009 Fellow of the IEEE, 2018 IEEE Technical Committee on Haptics Distinguished Service Award, 2021 Professional Contributions: Dr. Jones has served as Editor-in-Chief of IEEE Transactions on Haptics (2014-2019), Chair of the IEEE Transactions on Haptics Management Committee (2023-present), and in multiple editorial and national committee roles. She is integral to MIT's Graduate Admissions and Postdoctoral Fellowship committees. Laboratory: The Cutaneous Sensory Lab at MIT employs a systems-level approach to haptic display development, including actuator characterization, skin mechanics analysis, and psychophysical user studies. The lab's work has been adopted in academic and industrial research on robotic swarms and soldier safety systems.

Nesra Yannierمشاهده پروفایل

پژوهشگر

• Learning Sciences
• Educational Technology
• Artificial Intelligence
• +۶ مورد دیگر

Nesra Yannier is a Senior Systems Scientist at the Human-Computer Interaction Institute (HCII) within Carnegie Mellon University's School of Computer Science. Her interdisciplinary work bridges physical and virtual worlds to create innovative educational technologies that significantly enhance children's learning and engagement across museum exhibits, schools, and community programs. Her academic credentials include: Bachelor's degrees in Physics and Computer Engineering M.S. in Computational Sciences & Engineering M.A. in Learning, Design & Technology Ph.D. in Human-Computer Interaction Dr. Yannier pioneers research in educational technology through tangible mixed-reality systems that transform STEM learning. Her work integrates artificial intelligence with physical interaction to create intuitive learning experiences, focusing on how children absorb scientific concepts through hands-on exploration combined with digital feedback. This approach has demonstrated measurable learning gains, with her Intelligent Science Stations improving educational outcomes fivefold compared to conventional screen-based methods. Her distinguished recognition includes: Mister Rogers Scholarship (Emmy’s College Television Awards) Innovation Fellowship from Swartz Center for Entrepreneurship Major funding from the National Science Foundation, PNC Grow Up Great, EQT Foundation, Grable Foundation, and Sprout Foundation has propelled her research from academic prototypes to real-world implementations. These grants support the deployment of her patented NoRILLA system and Intelligent Science Stations across hundreds of educational institutions throughout the United States and Europe, directly impacting millions of learners. Her collaborative projects frequently involve partnerships with museum networks, school districts, and technology developers to scale evidence-based educational innovations. Dr. Yannier leads interdisciplinary R&D teams that merge expertise in human-computer interaction, learning sciences, and engineering to create next-generation educational tools. Her current initiatives focus on expanding AI-powered adaptive learning systems that respond to children's physical interactions in real-time, with ongoing work to integrate these technologies into broader educational ecosystems through public-private partnerships.

Nicholas Royمشاهده پروفایل

استاد

• Robotics
• Machine Learning
• Autonomous Systems
• +۳ مورد دیگر

Nicholas Roy is a Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT), serving as Undergraduate Committee Chair and Director of Engineering for the MIT Quest for Intelligence. He maintains primary affiliations with the Robust Robotics Group, Computer Science & Artificial Intelligence Lab (CSAIL), and MIT Schwarzman College of Computing. His academic credentials include: B.Sc., 1995, McGill University M.Sc., 1997, McGill University Ph.D., 2003, Carnegie Mellon University Professor Roy's research pioneers uncertainty-aware autonomy across robotics and AI domains. His work integrates machine learning with robust planning systems to enable operation in GPS-denied environments like forests and indoor spaces. Key innovations include evidential learning for traversability estimation, physics-informed trajectory optimization, and language-grounded multi-robot coordination. His group develops systems for micro air vehicles, contact-rich manipulation, and scientific expeditions requiring autonomous decision-making under partial observability. Analysis of his 2024-2025 publications reveals three dominant trends: (1) diffusion models for anomaly detection and traversability synthesis, (2) evidential deep learning for risk-aware off-road navigation, and (3) large language model integration for task and motion planning. These works consistently address real-world deployment challenges through uncertainty quantification and physics-based constraints. As an educator, Roy champions principles of autonomy and decision-making through courses on robotics science and real-time systems. His advising philosophy emphasizes student independence while maintaining active mentorship within the Robust Robotics Group. The Robust Robotics Group (RRG) focuses on practical autonomy for aerial and ground robots in unstructured environments. Current projects include multi-UAV forest canopy navigation, methane detection for scientific expeditions, and contact-rich manipulation systems leveraging force-guided exploration. RRG maintains strong ties with CSAIL's autonomous systems initiatives and the MIT Quest for Intelligence.

Lei Cuiمشاهده پروفایل

مدرس ارشد

• Robotics
• Mechatronics
• Biorobotics
• +۲ مورد دیگر

Lei Cui is a Senior Lecturer in Mechatronics at Curtin University's School of Civil and Mechanical Engineering, where he heads the Biorobotics Research Lab. He holds a PhD in Engineering (Robotics) from King's College London and was a Postdoctoral Fellow at Carnegie Mellon University's Robotics Institute. Research focuses on robotics and mechatronics with applications in biomedical engineering and environmental monitoring. Key areas include: rehabilitation robotics (exoskeletons for hand/knee function), underwater bio-inspired sensing systems, robotic manipulation via rolling/sliding contact, and neural-adaptive control systems. Recent projects integrate AI for soil carbon analysis and attention-based rehabilitation. Publications emphasize interdisciplinary innovation, with trends showing progression from fundamental kinematics (2015-2017) to AI-enhanced biomedical applications (2018-2022). Notable methodological advances include neural control frameworks, biomimetic sensor designs, and optimization techniques for assistive devices. Awards include: Editors' Choice Award, Journal of Mechanical Design (ASME 2018) IEEE/RSJ IROS Best Paper Finalist (2016) Curtin University Commercial Innovation Award (2015) Laboratory work centers on the Biorobotics Research Lab, focusing on human-robot interaction and neuromotor devices. No students or grants are detailed in provided materials.

• Recommender Systems
• Digital Health
• Responsible AI
• +۷ مورد دیگر

Dr. Suncica Hadzidedic is an Assistant Professor in the Department of Computer Science at Durham University and a Fellow of the Wolfson Research Institute for Health and Wellbeing. She holds a PhD from the University of Warwick, MSc from Binary University (Malaysia), and BSc from SSST (Bosnia and Herzegovina) and Buckingham University (UK). Her research bridges computer science with healthcare, psychology, and design, focusing on recommender systems, affective computing, and responsible AI applications in health and wellbeing. She leads projects like MoreLife UK KTP (Innovate UK-funded) and is part of research networks such as the EU COST Action VascAgeNet and the Alan Turing Institute’s Knowledge Graphs Interest Group. Her research interests include digital health interventions, mental health support systems, and ethical AI frameworks. Notable projects include developing PORT.org.ba, a cancer website with affect-aware recommendations, and studying authentication methods in youth populations. She teaches courses on recommender systems and business analytics. Dr. Hadzidedic’s work spans interdisciplinary collaborations, including the Erasmus+ e-VIVA project enhancing educational competencies in Balkan universities. She supervises postgraduate students in AI-driven health technologies and actively contributes to the AIHS (Artificial Intelligence and Human Systems) research group at Durham.

• Digital Health
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Professor Dorothy Monekosso holds a position at Durham University as Professor of Computer Science and serves as Chief Technical Officer (0.5FTE) at More Life UK Ltd, a health services company. Her academic career spans over two decades, with a PhD in Spacecraft Engineering (2000) from Surrey Space Centre, a Master's in Satellite Engineering, and a Bachelor's in Electronic Engineering. Her research focuses on assistive technologies, digital health innovations, and applications of machine learning in healthcare. Notable contributions include the Virtual Physiotherapist project (funded by MRC) and the Health-5G mixed reality system for emergency medical assistance. She has pioneered work on ear recognition biometrics and VR-based rehabilitation frameworks like Rehab-Immersive. Professional roles include leadership as PGR Director at Durham and membership in prestigious committees such as the Royal Society Diversity Committee and World Economic Forum initiatives. Awards include the Royal Academy of Engineering Foresight Award (2000) and BCS Honorary Fellowship (2020). Her work integrates robotics, AI, and sensor networks into solutions for independent living and healthcare delivery. Current projects explore digital twins in healthcare and smart environments to support aging populations.

Ian Gonsherمشاهده پروفایل

عضو هیئت علمی

• Extended Reality (XR)
• Ubiquitous Computing
• Assistive Technology
• +۳ مورد دیگر

Ian Gonsher is an Assistant Professor of the Practice in Engineering at Brown University's School of Engineering. He holds an MFA from Rhode Island School of Design (2006) and a BFA from the University of Kansas (2001). His research focuses on integrating Extended Reality (XR), ubiquitous computing, and assistive technologies into everyday environments, emphasizing human-centric design principles. Key projects include the Mixed Reality Passthrough Window, Smart Cane Project, and HoloWorld XR device. Teaching responsibilities include courses such as CSCI 1951C - Designing Humanity Centered Robots and ENGN 0930C - DesignStudio . He advises students on design engineering projects and leads interdisciplinary research teams. Notable collaborations involve developing low-cost XR solutions, assistive mobility devices with physiological sensors, and innovative furniture-integrated interfaces. Research contributions span telepresence systems, accessible technology, and speculative design frameworks. His work bridges art, engineering, and social impact, advocating for technologies that enhance human connection and quality of life. Current projects explore bimodal affective computing interfaces and ethical design practices for end-of-life care technologies.

Pascual González Lópezمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Software Engineering
• Extended Reality (XR)
• +۶ مورد دیگر

Pascual González López is a Full Professor at the University of Castilla-La Mancha, Department of Computer Systems. His research focuses on Human-Computer Interaction (HCI), Software Engineering, Extended Reality (XR), and Digital Twins, particularly in tele-rehabilitation and mental health applications. He leads the LoUISE research group (Laboratory for User Interaction and Software Engineering) and has coordinated numerous EU and national projects. He served as Director of the Albacete Science and Technology Park Foundation from 2002 to 2012, fostering innovation and tech transfer. His work spans over 150 publications in journals like Journal of Ambient Intelligence and IEEE Computer Graphics and Applications , and he holds patents in haptic interfaces and tool monitoring. Key projects include UsiXML (EUREKA), MyMobileWeb (Celtic), and digital twin initiatives in healthcare. Education: B.Sc. and Ph.D. in Computer Science from Universidad Politécnica de Madrid (1986, 1999). He has advised 11 PhD students and contributed to spin-offs like SymbiaIT. His research integrates VR/AR, collaborative systems, and adaptive interfaces, with applications in rehabilitation for ADHD, brain injury, and elderly care. Recent work emphasizes digital twins for prosocial behavior and cybersecurity in AI systems. He serves as editor for journals like Pervasive and Mobile Computing and Expert Systems , and reviews for IEEE and ACM conferences. Awards include leadership in national and international research networks (EuroXR, COST actions) and contributions to Spain’s National Plan projects. Current activities include developing VR tools for surgical training and haptic obstetric simulators.

David Vallejoمشاهده پروفایل

استاد

• Artificial Intelligence
• Multi-Agent Systems
• Expert Systems
• +۵ مورد دیگر

David Vallejo is a Professor at the University of Castilla-La Mancha (UCLM), affiliated with the Department of Technologies and Information Systems and the School of Computer Science. He holds a PhD in Computer Engineering (Summa Cum Laude, 2010) and has been a faculty member since 2007, specializing in teaching programming, operating systems, and game development. He has coordinated the Master's in Computer Engineering and served as Academic Director of the UCLM's Secretaría General, overseeing digital strategy and academic technology. Education: PhD in Computer Engineering, UCLM (2010) MSc in Advanced Information Technologies, UCLM (2008) BSc in Computer Engineering, UCLM (2006) Research Interests: Applied Artificial Intelligence (Multi-Agent Systems, Expert Systems) Health Technology (VR/AR for Rehabilitation) Interactive Systems (Game Development, Mixed Reality) E-Commerce and Digital Transformation Awards & Recognition: Premio Extraordinario Fin de Carrera (2006) Open Innovation Castilla-La Mancha First Prize (2022) Premio “Mónico Sánchez” 2024 (UCLM) Advising & Innovation: Directed 40+ final degree projects Co-founder of Furious Koalas S.L. (spinoff focused on gamification and interactive simulations) Co-author of 8 educational books, including Desarrollo de Videojuegos: Un Enfoque Práctico Labs & Collaborations: Co-director of the Artificial Intelligence and Representation (AIR) research group Collaborator with the Computer Human Interaction and Collaboration (CHICO) group