جست‌وجوی استاد و پژوهشگر

Patrick Carringtonمشاهده پروفایل

استادیار

• Accessibility
• Human-Computer Interaction
• Wearable Technology
• +۴ مورد دیگر

Patrick Carrington, an Assistant Professor at the Human-Computer Interaction Institute within Carnegie Mellon University's School of Computer Science , is a leading researcher in Accessibility and Assistive Technology . His work focuses on designing technology to enhance the lives of individuals with diverse abilities, particularly through Wearable Technology , Chairables , and Non-Visual Interaction . He is affiliated with the AXLE Lab and teaches courses like Special Topics: Accessibility and Programming Usable Interfaces . Education : Ph.D. from University of Maryland, Baltimore County (2017) Dr. Carrington's research explores: Accessibility for people with visual and motor impairments Wearable and Chairable Computing for wheelchair users Non-Visual Interaction in daily activities Assistive Augmentation of existing devices His publications analyze the intersection of Ubiquitous Computing and Human Factors , including studies on Cooking , Autonomous Navigation , and LLM-based Communication Assistance for autistic workers. Scientific awards include: Best Student Paper (ASSETS 2024) Best Paper Award (Top 1%, ASSETS 2019) Best Paper Honorable Mention (Top 5%, CHI 2020, ASSETS 2018, ASSETS 2015, CHI 2014) Dr. Carrington advises students such as Yunzhi Li and Franklin (Mingzhe) Li , and his work often involves Grants from ACM and other institutions. He also contributes to Labs and Teams like the AXLE Lab, focusing on future directions in Accessible Design and Human Empowerment through Technology .

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Yann LeCun is the Chief AI Scientist at Meta and holds the Jacob T. Schwartz Professorship at New York University in Computer Science, Data Science, Neural Science, and Electrical and Computer Engineering. He is a member of the National Academy of Engineering, National Academy of Sciences, and Académie des Sciences, and a fellow of ACM, AAAI, AAAS, and SIF. Research Interests: AI, Machine Learning, Computer Vision, Robotics, Computational Neuroscience, Physics of Computation. Labs: CILVR Lab (Computational Intelligence, Learning, Vision, Robotics), Computational and Biological Learning Lab at Courant Institute, Meta FAIR (Fundamental AI Research). Scientific Awards include the ACM Turing Award (2018), Queen Elizabeth Prize for Engineering (2025), VinFuture Grand Prize (2024), and multiple honoris causa doctorates. He has mentored numerous PhD students and postdocs, including Ying Wang, Yilun Kuang, and Quentin Le Lidec. Recent Publications focus on self-supervised learning, world models, video analysis, and representation learning, with key contributions to autonomous machine intelligence architectures.

• robot control
• robotic manipulation
• dual arm manipulation
• +۷ مورد دیگر

Yiannis Karayiannidis is a Senior Researcher (equivalent to Associate Professor/Research) with the Division of Systems and Control (SYSCON), Department of Electrical Engineering at Chalmers University of Technology. He maintains a significant affiliation with the Department of Robotics, Perception and Learning at KTH Royal Institute of Technology, demonstrating his cross-institutional impact in the Swedish robotics community. Dr. Karayiannidis earned his Diploma in Engineering in 2004, followed by a Ph.D. in Engineering in 2009, and achieved Docent status in 2017. His academic journey has focused on robotics and control systems, establishing him as a leading researcher in these fields. His primary research interests span robot control, robotic manipulation in human-centered environments, dual arm manipulation, force control, robotic assembly, control of physical human-robot interaction, multi-agent robotic systems, adaptive control and nonlinear control systems. Dr. Karayiannidis has made significant contributions to the understanding of deformable object manipulation, contact-rich robotic tasks, and human-robot collaboration. His work bridges theoretical control systems with practical robotic applications, particularly in scenarios requiring precise physical interaction. Analysis of his recent publications reveals a strong focus on advanced manipulation techniques, particularly for deformable linear objects, and human-robot collaborative tasks. His research increasingly incorporates machine learning approaches, especially reinforcement learning, to address complex manipulation challenges. There is also a clear emphasis on practical applications in industrial settings, with several projects related to robotic assembly and cable routing. Dr. Karayiannidis serves as Associate Editor for the IEEE Robotics and Automation Letters, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), and the European Control Conference. He is also the treasurer of the IEEE Robotics Chapter in Sweden and a WASP-affiliated researcher. He has served as Principal Investigator for multiple research projects including DARMA and DARMA_bridge (funded by WASP), CHROMA (funded by VR), and the H2020 SARAFun project. His current projects include "Learning & Understanding Human-Centered Robotic Manipulation Strategies" (2020-2025), "Computer Vision and Machine Learning for Robot Systems" (2019-2021), and "ViMCoR" (2019-2021) in collaboration with Volvo Group. Dr. Karayiannidis is actively involved in the robotics research community through his editorial roles and project leadership. His work connects theoretical control systems with practical robotic applications, particularly in industrial and human-robot collaborative settings.

Kamesh Namuduriمشاهده پروفایل

استاد

• Autonomous Systems
• UAV Networks and Communications
• Cooperative Control
• +۷ مورد دیگر

Kamesh Namuduri is a Professor in the Department of Electrical Engineering at the University of North Texas. He leads the Autonomous Systems Laboratory (ASL), focusing on cooperative decentralized systems, UAV networks, and advanced air mobility solutions. Key Research Areas: Autonomous Systems UAV Networks and Communications Collision Avoidance Strategies Disaster Recovery Applications Digital Twin Airspace Management Recent work examines advanced air mobility through vehicle-to-vehicle communication frameworks, wireless localization challenges, and air corridor traffic control. The ASL investigates mobility, security, and cooperative control in airborne networks with applications to surveillance, planetary exploration, and emergency response. Laboratory Facilities: The Autonomous Systems Laboratory supports research in robotic systems, wireless sensor networks, and decentralized consensus-building algorithms.

Nathir Rawashdehمشاهده پروفایل

استادیار

• Image Processing
• Autonomous Vehicles Perception
• Mobile Robot Applications
• +۷ مورد دیگر

Nathir Rawashdeh is an Assistant Professor in the Department of Applied Computing at Michigan Technological University , with an affiliated appointment in Electrical and Computer Engineering . He is a Senior Member of the IEEE and a member of the Institute of Computing and Cybersystems (ICC) and Great Lakes Research Center . Education: Ph.D., Electrical Engineering, University of Kentucky, 2007 MS, Electrical and Computer Engineering, University of Massachusetts, Amherst, 2003 BS, Electrical Engineering, University of Kentucky, 2000 Dr. Rawashdeh's research focuses on unmanned vehicle perception , image analysis , control systems , and mechatronics , with applications in autonomous driving, winter weather adaptation, and industrial automation. His work includes sensor fusion, deep learning, and AI-enhanced manufacturing solutions. Recent publications highlight advancements in winter weather autonomous driving , UV disinfection robotics , and AI-driven industrial inspection systems . His research spans mechatronics curriculum development, industry 4.0 integration, and cross-cultural educational initiatives. Scientific Awards: Senior Member of the IEEE Dr. Rawashdeh has secured over $2 million in funding from organizations including the NSF , Ford Motor Co. , NIST , and the European Commission . His grants support projects like GPU clusters for research, winter weather autonomous driving standards, and UV sterilization robotics. He leads the Mobile Robotics Lab at Michigan Tech, focusing on collaboration and innovation in autonomous systems and mechatronics research.

Yonggang Liuمشاهده پروفایل

دانشیار

• Ocean Circulation
• Coastal Ocean Observing
• Numerical Modeling
• +۷ مورد دیگر

Dr. Yonggang Liu is an Associate Professor at the University of South Florida College of Marine Science , specializing in Physical Oceanography . He leads the Ocean Circulation Lab and focuses on coastal ocean dynamics, air-sea interactions, and environmental applications. Education: PhD in Physical Oceanography from University of South Florida, Postdoctoral work at University of Washington Email: yliu@usf.edu His research interests include: Coastal ocean circulation and Loop Current interactions Real-time monitoring systems (COMPS, TBON, HF Radar) Numerical modeling (WFCOM, TBCOM, EFCOM) Harmful algal bloom prediction (Karenia brevis) Storm surge and Sargassum tracking Pollutant/oil spill transport modeling Recent publication trends show expertise in: Coastal ocean model validation Eddy-resolving numerical simulations Machine learning applications (Self-Organizing Maps) Marine environmental hazard response Multi-decadal circulation analysis Hydrodynamic-biogeochemical coupling He contributes to scientific leadership as: Editor for Artificial Intelligence for the Earth Systems Guest Editor for Ocean Science Science Committee member at SECOORA

• Mobile Robotics
• Robotics
• Artificial Intelligence
• +۱ مورد دیگر

Prof. Dr. Jens Wagner is a faculty member at HTWK Leipzig (Hochschule für Technik, Wirtschaft und Kultur Leipzig) specializing in Mobile Robotics. He is affiliated with the Faculty of Computer Science and Media, where he contributes to the institution's technical education programs. His research focuses on mobile robotics systems, encompassing navigation, perception, and autonomous operation in various environments. This field sits at the intersection of computer science, mechanical engineering, and artificial intelligence, with applications ranging from industrial automation to service robotics. Prof. Wagner maintains an active teaching and research schedule, with office hours available by appointment. Students are encouraged to contact him via email to schedule meetings regarding academic matters or research opportunities in robotics.

• Control Engineering
• Gas Turbine Systems
• Active Flow Control
• +۵ مورد دیگر

Professor Marko Bacic is a Professor of Engineering Science at the University of Oxford and Engineering Fellow in Control Systems and Gas Turbine Functionality at Rolls-Royce, PLC. He leads research at the Oxford Thermofluids Institute with dual focus on academic innovation and industrial gas turbine applications, holding continuous university affiliation since 2003. His educational credentials include: MEng in Engineering and Computing Science (2001), University of Oxford DPhil in Model Predictive Control (2004), University of Oxford Research spans Control Engineering , Gas Turbine Systems , and Active Flow Control , emphasizing hardware-in-the-loop simulation, thermo-mechanical systems, and fluid-structure interactions. Current projects address aerospace control, active tip clearance, and hybrid-electric propulsion through the Active Flow Control for Gas Turbines research group. Recent publications (2023-2025) reveal three dominant trends: hybrid-electric propulsion optimization for urban air mobility, acoustic excitation techniques for flow control in compressors, and thermal management innovations in turbine cooling systems, demonstrating strong industry-academia translation. Major awards include: Sir Henry Royce Award for Technical Innovation (2012) Sir Henry Royce Patent Award (2017) RAEng Silver Medal (2020) Research funding exceeds £3M through collaborations with Rolls-Royce and EPSRC: 'Active Control of Fluid Flows in Gas Turbines' (£1.1M, EPSRC/Rolls-Royce, 2014–2017) 'Advanced Transient Heat Transfer Facility' (£1.3M, Rolls-Royce/ATI, 2011-2015) 'Real-time transient disc modelling' (£72k, Rolls-Royce, 2011-2014) 'Hardware-in-the-loop simulation for UAVs' (£114k, EPSRC) 'Non-return valve failure investigation' (£126k, Rolls-Royce/EPSRC) 'Engineering applications of bird flight' ($300k, AFOSR) He directs experimental facilities including a subscale test rig for compact heat exchangers and hardware-in-the-loop simulators for gas turbine systems, with active Rolls-Royce partnerships driving patent development and market deployment.

Sergio Montenegroمشاهده پروفایل

استاد

• Aerospace Information Technology
• Dependable Computing
• Distributed Systems
• +۶ مورد دیگر

Prof. Dr.-Ing. Sergio Montenegro is a Professor of Aerospace Information Technology at Julius-Maximilians-University Würzburg, where he leads the Chair of Computer Science VIII. His academic journey includes a Bachelor's in Computer Science from Universidad del Valle de Guatemala (1978-1982), a Diploma from Technische Universität Berlin (1983-1985), and a Dr.-Ing. from TU Berlin (1989). Prior to joining academia, he held positions as a software developer (1979-1982), research coordinator at Fraunhofer Gesellschaft (1985-2007), and Head of Department at DLR (2007-2010). His research focuses on dependable distributed systems for aerospace applications, including satellite networks, real-time operating systems (RODOS), UAV swarm control, fault-tolerant architectures, and space mission software. Key projects span satellite formation flight (TET, AsteroidFinder), solar sail missions, distributed avionics (VIDANA), and medical IoT systems. Recent publications (2018) demonstrate strong emphasis on distributed spacecraft systems, UAV navigation, fault tolerance, and software engineering for space applications. Trends include miniaturized satellite technologies, decentralized control algorithms, real-time OS verification, and Java-based space systems. He leads research in distributed computing networks and UAV laboratories, supervising projects like VaMEx-LaOLA (Mars exploration) and ultra-wideband positioning systems. Though no awards are documented, he has coordinated over 100 projects including ESA and DLR missions.

Chiara Petrioliمشاهده پروفایل

استاد

• Wireless Networking
• Underwater Sensor Networks
• Internet of Things (IoT)
• +۳ مورد دیگر

Chiara Petrioli is Full Professor at Sapienza University of Rome's Department of Computer, Control and Management Engineering and Deputy Rector for scouting, fundraising, and business incubation. She founded the spinoff WSENSE S.r.l. and coordinated the university's Computer Science Ph.D. program. Her research pioneers the Internet of Underwater Things, leading to breakthrough technologies featured in international media and the NT100 list. Her research interests center on wireless, embedded, IoT, and cyber-physical systems, with a focus on underwater networking. She designs and optimizes communication protocols, security mechanisms, and energy-efficient architectures for underwater sensor networks, enabling applications in environmental monitoring, archaeology, and deep-sea exploration. Recent publications highlight trends in underwater acoustic communications (e.g., dual-channel protocols, S2C modulation), security (authentication, key exchange), and energy efficiency (wake-up radio, UAV-assisted data collection). Applications span dissolved oxygen monitoring, submerged heritage preservation, and sustainable deep-sea mining impact assessment. Her scientific awards include: IEEE Fellow 2021 Fulbright Scholar Inspiring Fifty 2018 N2Women 2019 Star in Computer Networking and Communications Gamma Donna Women Startup Award 2022 Top 2% World Scientist by Stanford Repubblica D 100 Women to Change the World 2021 As principal investigator, she has led over twenty national and international projects, including EC projects GENESI and SUNRISE, and EASME projects ArcheoSub and Seastar. She founded WSENSE S.r.l., a spinoff that translates research into innovative technologies, resulting in international patents and features in BBC, RAI, Wired, and National Geographic. She actively contributes to the academic community as chair of IEEE SECON steering committee, associate editor of ACM/IEEE Transactions on Networking, and through leadership roles in ACM SIGMOBILE and IEEE Transactions on Mobile Computing.

• Embedded Systems
• Internet of Things
• Wireless Sensor Networks
• +۵ مورد دیگر

João Luís Marques Pereira Monteiro is a Full Professor at the Department of Industrial Electronics, School of Engineering, University of Minho, Portugal. He has been with the university since 1980, progressing from Assistant Trainee to his current position. He has held significant leadership roles including Pro-rector (2005-2009), Director of the Algoritmi Center (1998-2006, 2010-2013), and Dean of the School of Engineering (2013-2019). He currently coordinates the Embedded Systems Research Group (ESRG) and is a Senior Researcher at the Algoritmi Research Center. His educational background includes: Bachelor's degree in Electrical Engineering and Computers from the University of Porto (1980) PhD in Informatics and Systems Engineering - specialization in Computer Engineering - from the University of Minho (1991) Habilitation (Dr habil) from the University of Minho (2003) Professor Monteiro's research spans multiple domains in engineering and computer science, with a strong focus on practical applications. His work in embedded systems has led to innovations in real-time processing, sensor networks, and hardware-software co-design. In medical applications, he has developed textile-based sensors for vital sign monitoring. His recent work focuses on computer vision for autonomous vehicles, particularly 3D object detection from point clouds. He also contributes to educational initiatives in data science and AI, particularly in developing countries. His recent publications show a clear progression toward applications requiring real-time processing on resource-constrained devices. There's a strong emphasis on autonomous systems, particularly self-driving vehicles, with multiple papers on 3D object detection from point clouds. His work bridges embedded systems, computer vision, and wireless communications, often focusing on practical implementations for real-world applications like emergency responder localization and medical monitoring. Professor Monteiro has supervised more than a dozen doctoral students, many of whom have gone on to become faculty members at national and international universities. His research has been supported by various funding agencies including FCT (Portuguese), ADI (Portuguese), and FP7 (European funding), as well as industry partners. He leads the Embedded Systems Research Group (ESRG), which is part of the Algoritmi Research Center. The ESRG focuses on developing embedded solutions for various applications including autonomous vehicles, medical devices, and industrial monitoring systems. The group works on both hardware and software aspects of embedded systems, with particular expertise in real-time processing and resource-constrained environments.

Puze Liuمشاهده پروفایل

پژوهشگر

• Robotics
• Reinforcement Learning
• Control and Optimization
• +۳ مورد دیگر

Puze Liu is a Senior Research Scientist and Deputy Head at the System AI for Robot Learning (SAIROL) department of the German Research Center for Artificial Intelligence (DFKI) , with a secondary affiliation at the Intelligent Autonomous Systems group of the Technische Universität Darmstadt . He completed his Ph.D. at TU Darmstadt under Prof. Jan Peters , focusing on safe reinforcement learning for real-world robotics. Education: Ph.D., Intelligent Autonomous Systems, TU Darmstadt M.Sc., Computational Engineering Science, Technische Universitaet Berlin Research Interests include robotics , reinforcement learning , safe exploration , and human-robot collaboration , with a focus on deploying learned policies in dynamic environments. His work addresses safety in high-dimensional tasks through constraint manifolds and implicit neural representations. Publication Trends span safe reinforcement learning , robot air hockey , kinodynamic planning , and reactive motion generation . Notable contributions include ReDSDF for real-time collision avoidance and ATACOM for constraint manifold control. Scientific Awards Best Paper Award Finalist (CoRL 2021) Best Entertainment and Amusement Paper Award Finalist (IROS 2021) IROS Student Travel Award (2022) Supervision includes mentoring students on topics like safe policy search , air hockey planning , and robot dynamics estimation . He is part of the SAIROL and Intelligent Autonomous Systems teams.

Henning Tangen Søgaardمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Agricultural Engineering
• Control Systems
• +۴ مورد دیگر

Henning Tangen Søgaard is an Associate Professor at the Department of Mechanical and Production Engineering, part of AU Engineering at Aarhus University. He teaches mathematics, numerical methods, and mathematical statistics to BEng students. His research focuses on robotics in agriculture , dynamic modeling , and precision agriculture . Primary Affiliation: Department of Mechanical and Production Engineering, AU Engineering, Aarhus University Research Expertise: Computer vision, control systems for agricultural robotics, environmental modeling (ammonia emissions, spray drift), and wireless sensor networks. His work includes developing autonomous systems for weed control, GPS-based geo-referencing of crops, and mathematical models for fertilizer-related emissions. Publications span peer-reviewed journals and reports in agricultural engineering , robotics , and environmental science . Scientific awards are not mentioned in the provided text. He has no listed PhD students but has collaborated on multiple projects. For direct contact, his email is hts@mpe.au.dk .

• Agricultural Engineering
• Control Systems
• Computer Science
• +۹ مورد دیگر

Lorenzo Comba is a Lecturer at the Department of Control and Computer Engineering (DAUIN) within the College of Management and Production Engineering at Politecnico di Torino. His work focuses on UAV (Unmanned Aerial Vehicle) applications in agriculture, integrating control systems and remote sensing technologies. Teaching: Courses include Integrated Factory Management and Fundamentals of Industrial Automation (PLC, Sensors) for Industrial Production Engineering programs since 2020/21. Research Interests: Emphasize precision agriculture, autonomous UAV systems, 3D mapping, and sensor-driven automation. Publications: Recent works analyze LiDAR-based UAV control for precision spraying, 3D mapping strategies for orchards, and optimization of drone localization in agricultural environments.

• Applied Mechanics
• Robotics
• Precision Agriculture
• +۵ مورد دیگر

Andrea Botta serves as a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin. He is an invited member of both the College of Electrical and Energy Engineering and the College of Mechanical, Aerospace, and Automotive Engineering. His academic career spans teaching Mechanics of Automatic Machines across multiple degree programs including Mechanical Engineering and Energy Engineering since the 2020/21 academic year. Botta's research focuses on Applied Mechanics and Robotics, with particular expertise in articulated robots, mobile manipulators, precision agriculture systems, and rehabilitation robotics devices. His work bridges theoretical mechanics with practical applications in agricultural automation and assistive technologies, addressing challenges in mobility platforms, mechanism design, and human-robot interaction. His research directly contributes to multiple UN Sustainable Development Goals including Zero Hunger, Good Health, Clean Energy, and Climate Action. His publication record shows consistent output with significant contributions in 2023-2025, demonstrating expertise across both agricultural and medical robotics domains. Recent work reveals a strong trend toward practical implementations of robotic systems for greenhouse agriculture, rehabilitation assistance, and hospital service applications, with notable emphasis on control strategies, kinematic modeling, and user-centered design. Scientific Recognition: Best Paper Award of Jc-IFToMM International Symposium (2022) Botta actively supervises doctoral research, currently guiding Francesco Amodio in the 40th cycle of the Mechanical Engineering PhD program. He participates in competitive research projects including PAL-HAND (Pneumatic And Lightweight Handheld Device) and TWIN-IT-ROMANS (Twinning IZTECH in Robotics Manufacturing Systems), with funding from European Union initiatives including EIT and Horizon Europe Widening Participation programs. His work demonstrates strong interdisciplinary collaboration across mechanical engineering, control systems, and application-specific domains. As a member of the Automation and Robotics research group within DIMEAS, Botta contributes to developing innovative robotic solutions with practical implementations in precision agriculture through projects like AGRIMARO.Q and rehabilitation technology through wearable assistive devices like WELiBot.