Find Academic Supervisors

• Robotics
• Resilient Robotic Autonomy
• Robot Control
• +5 more

Prof. Konstantinos Alexis is a Professor in the Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU). His research focuses on resilient robotic autonomy, emphasizing robot control, path planning, and Simultaneous Localization and Mapping (SLAM). He leads major international grants from agencies like DARPA, NSF, and the Norwegian Research Council, advancing autonomous systems for extreme environments such as subterranean exploration and search-and-rescue operations. His work integrates advanced control strategies with field robotics, demonstrated through projects like the DARPA Subterranean Challenge. Key contributions include robust model predictive control for UAVs, contact-based inspection planning, and graph-based exploration path planning. Alexis has organized workshops on aerial robotics at top conferences like ICRA and ICUAS, and his team develops open-source tools for robotics autonomy. Award-winning publications include the IET 2014 Premium Award and multiple best-paper recognitions. His research extends to solar-powered UAVs, thermal-inertial localization, and multi-modal sensor fusion for degraded environments. The Autonomous Robots Lab at NTNU is central to his research activities.

• Distributed Artificial Intelligence
• Multi-Agent Systems
• Mobile Robotics
• +12 more

Guillaume Lozenguez is an Assistant Professor in Distributed Artificial Intelligence at IMT Nord Europe, affiliated with the Center for Digital Systems (CERI SN) and the University of Lille. His research integrates Multi-Agent Systems, robotics, and decision-making under uncertainty, with applications in transport, urban mobility, and environmental systems. Assistant Professor, IMT Nord Europe Researcher, Center for Digital Systems (CERI SN) Associated with University of Lille Specializes in Distributed AI and Autonomous Systems His research interests focus on modeling autonomous agents using Markov Decision Processes, stochastic automata, and distributed computation. He applies these formalisms to mobile robotics, intermodal transport, inland waterway networks, and resilience in complex systems. His work emphasizes simulation, planning, and coordination in distributed environments where multiple agents interact under uncertainty. The most recent publications reflect a strong trend in agent-based modeling of urban mobility , human-aware robot navigation , and optimization of environmental and industrial systems . Key themes include intermodal behavior simulation, selective deconstruction logistics, and distributed planning for mobile robots. Methodologically, he combines machine learning, metaheuristics, and formal decision theory to address real-world scalability and uncertainty. Guillaume Lozenguez has not been mentioned to have received any scientific awards. He has co-authored numerous publications with researchers such as Arnaud Doniec, Azise Oumar Diallo, and Luc Fabresse, indicating active collaboration and potential mentorship roles. His work is supported by projects like ALPAGA and CASTREAU, focusing on robotics and AI integration. He contributes to pedagogical innovation, notably through the A.L.P.E.S. method for agile education. His research is conducted within collaborative frameworks involving the MAD team at GREYC Laboratory and interdisciplinary projects in smart mobility, environmental monitoring, and industrial robotics.

Anders BlomdellView profile

Professor

• Control Systems
• Real-Time Systems
• Embedded Systems
• +7 more

Anders Blomdell is a Professor in the Department of Control Engineering at the Faculty of Engineering, Lund University. His work bridges theoretical control systems with practical applications in real-time, embedded, and cloud-based environments. He is actively involved in research projects focusing on autonomous systems, industrial automation, and networked control. His research interests include Control Systems , Real-Time and Embedded Systems , Networked Control , Industrial Automation , Robotics , and Cloud-Controlled Systems . These areas reflect his focus on scalable, adaptive, and secure control solutions for complex, interconnected systems. The recent publications highlight a strong trend toward event-based control , large-scale optimization , autonomous adaptation , and secure cloud integration . His work often combines control theory with computer science, particularly in distributed and real-time settings, showing a consistent effort to address challenges in latency, scalability, and robustness. Scientific Awards: Advising and Grants: While specific students are not listed, Anders Blomdell leads and participates in major research initiatives such as WASP, ELLIIT, and the Nordic University Hub on Industrial Internet of Things (HI2OT). These projects involve significant funding and collaboration with industry and academia, indicating active mentorship and leadership in training next-generation researchers. Labs and Teams: He is associated with RobotLab LTH and contributes to the development of tools like TrueTime and LabComm , which are widely used in real-time and networked control research. His work supports both academic and industrial innovation in automation and intelligent systems.

• Robot Control
• Robotic Manipulation
• Human-Robot Interaction
• +12 more

Yiannis Karayiannidis is an Associate Professor in the Department of Automatic Control at Lund University's Faculty of Engineering (LTH). He is affiliated with major research initiatives including ELLIIT (the Linköping-Lund initiative on IT and mobile communication) and WASP (Wallenberg AI, Autonomous Systems and Software Program). A portion of his research team is based at Chalmers University of Technology, specifically within the Division of Systems and Control (SYSCON). He actively contributes to the robotics and control community through editorial roles and leadership in professional organizations. His research focuses on advanced robotic control systems, particularly in human-centered environments. Key areas include robotic manipulation, dual-arm coordination, force and grasping control, physical human-robot interaction, robot learning, navigation, reactive planning, multi-agent systems, and nonlinear and adaptive control. These interests are reflected in both his teaching and research output. The recent publication trends highlight a strong focus on autonomous navigation in dynamic environments, robust force control, multi-agent coordination, and learning-based manipulation. His work integrates model-based control with data-driven methods, particularly in complex and uncertain settings. Topics such as obstacle avoidance, tunnel-following MPC, friction modeling, and semantic feature estimation demonstrate technical depth and real-world applicability. Prof. Karayiannidis holds significant academic service roles: Associate Editor, IEEE Robotics and Automation Letters Associate Editor, IEEE/ASME Transactions on Mechatronics Associate Editor, International Conference on Robotics and Automation (ICRA) Associate Editor, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Associate Editor, European Control Conference Treasurer, IEEE Robotics Chapter in Sweden He has supervised numerous PhD and master's students and is actively involved in research projects funded by national and strategic initiatives. His editorial and supervisory roles underscore his leadership in the robotics and control community. He also contributes to infrastructure development as a manager of RobotLab LTH. He is involved in several key research labs and teams: RobotLab LTH – a shared robotics research infrastructure where he serves as a manager Division of Systems and Control (SYSCON), Chalmers University of Technology – hosts part of his research team Center for Construction Robotics – collaborative network involving Lund University researchers WASP and ELLIIT research networks – strategic national platforms for AI and robotics

• Underwater Robotics
• Autonomous Systems Control
• Safety-Critical Systems
• +3 more

Aurora Haraldsen is a researcher at the Norwegian University of Science and Technology (NTNU) Department of Technical Cybernetics, currently holding a postdoctoral position within the ERC Advanced Grant project CRÈME under Professor Kristin Y. Pettersen. Her work focuses on advancing control systems for light underwater vehicle-manipulator systems by integrating data-driven AI with traditional control frameworks to ensure robustness, precision, and safety in challenging environments. Research Interests: Her primary areas include safety-critical control , collision avoidance algorithms , underwater robotics , and autonomous systems . She explores methodologies like velocity obstacles and collision cones to enhance navigation and manipulation in dynamic environments. Publications Trends: Her recent work emphasizes theoretical and experimental advancements in collision avoidance for nonholonomic vehicles and underactuated marine systems. Notable contributions include safety-guaranteed control frameworks for dynamic obstacle avoidance and integration of AI with classical control paradigms. Grants & Projects: Active contributor to the CRÈME project (ERC Advanced Grant), focusing on developing freely moving autonomous robots capable of precise, forceful interactions in complex environments. Labs/Teams: Collaborates within the Technical Cybernetics Department at NTNU, working closely with Professor Pettersen and researchers like Martin Syre Wiig and Aaron D. Ames.

Bart HengeveldView profile

Assistant Professor

• Internet of Things
• Human-Computer Interaction
• Sound Design
• +3 more

Bart Hengeveld is an Assistant Professor at Eindhoven University of Technology's Department of Industrial Design, specializing in the 'body language' of the Internet of Things and the role of sound in computational technologies. His research focuses on how embedded systems present themselves appropriately in human environments, with particular attention to tangible user interfaces (TUIs), social interaction design, and data embodiment. Academic Background: BSc/MSc in Industrial Design Engineering from Delft University of Technology (2003), PhD at TU/e (2011) Key Roles: Member of the ACM TEI Steering Committee, Program Chair of TEI’16 in Eindhoven Teaching: Awarded two Teacher of the Year titles, oversees courses like 'The Sound of Smart Things' and 'From Idea to Design' Research Interests emphasize sound as a communication medium for ubiquitous technologies, including projects on public displays for nursing homes (R2S system), pedestrian trajectory sonification, and embodied passwords. His work bridges design, computer science, and social sciences, with over 50 publications in venues like TEI, CHI, and Creativity & Cognition. Notable Projects: LOOP (physical data artifact), Slots-Memento (intergenerational storytelling), and LinguaBytes (language learning for toddlers) Awards: Multiple teaching accolades for innovative pedagogy Current affiliations include the Future Everyday research cluster and the Making With… group, exploring speculative design and embodied interaction paradigms.

Reza HoseinnezhadView profile

Professor

• Electrical and Electronic Engineering
• Artificial Intelligence and Image Processing
• Mechanical Engineering
• +3 more

Professor Reza Hoseinnezhad is a faculty member in the School of Engineering at RMIT University, Australia. His research focuses on advanced engineering systems, including robotics, artificial intelligence, and autonomous systems. His work spans domains such as multi-object tracking, sensor fusion, and control systems with applications in underwater vehicles, autonomous driving, and manufacturing. He actively supervises research projects in areas like electronic seatbelt systems, anomaly detection, and swarm tracking. Research interests include Electrical and Electronic Engineering, Artificial Intelligence, Mechanical Engineering, and Manufacturing Engineering. His contributions leverage statistical methods, machine learning, and optimization to solve complex engineering challenges. Recent projects emphasize robust filtering, adversarial attack defenses, and distributed information fusion in connected systems. Professor Hoseinnezhad’s publications address cutting-edge topics like geometrically-informed particle filters, reinforcement learning for quadrupedal robots, and defect detection via point pattern analysis. His work bridges theoretical advancements with practical industrial and safety applications.

Jing XiaoView profile

Professor

• Robotics
• Haptics
• Multi-Modal Perception
• +3 more

Jing Xiao is a Professor and Department Head of Robotics Engineering at Worcester Polytechnic Institute (WPI). She also serves as the Site Director of NSF I/UCRC ROSE-HUB and leads the AIR Lab . Her research spans robotics, haptics, multi-modal perception, and AI, focusing on contact interaction and real-time adaptiveness in dynamic environments. Education : PhD in Computer, Information, and Control Engineering (1990), MS (1985), and BS in Physics and Electrical Engineering (1983) from Beijing Normal University. Her work integrates robotics with artificial intelligence to address challenges in compliant motion planning, continuum manipulation, and real-time adaptive motion planning (RAMP). Recent publications highlight advancements in autonomous robotic assembly, human-robot collaboration, and 3D coverage path planning. Scientific recognition includes IEEE Fellow and the William B. Smith Distinguished Fellowship . She contributed to the award-winning Handbook of Robotics , which received two PROSE Awards from the American Association of Publishers. Her research involves interdisciplinary collaboration, including a $3M NSF grant for human-robot interaction studies. She mentors students like PhD candidate Alexandra Valiton and collaborates across departments, including Computer Science and Electrical & Computer Engineering .

Jordan H BoyleView profile

Lecturer

• bio-inspired robotics
• surgical robotics
• 3D printing
• +11 more

Dr Jordan H Boyle is a Lecturer in Engineering Systems at the School of Mechanical Engineering, University of Leeds, Faculty of Engineering and Physical Sciences. His research lies at the intersection of engineering, biology, and neuroscience, focusing on bio-inspired robotics derived from invertebrate behavior. He leads in the development of robust, low-cost, and adaptive robotic systems for operation in unpredictable environments. His expertise includes computational neuroscience, neural modelling, 3D printing, and robot locomotion. He is affiliated with the Robotics Institute and the Institute of Design, Robotics and Manufacturing at Leeds. BSc (hons) in Electrical Engineering, University of Cape Town MSc in Electrical Engineering, University of Cape Town PhD in Computational Neuroscience, University of Leeds Dr Boyle's research is driven by the philosophy of invertebrate biology—emphasizing simplicity, high deployability, and cost-efficiency in robotic systems. He investigates neuromechanical control in organisms like C. elegans and Aplysia californica to inform the design of autonomous robots capable of adaptive locomotion in complex terrains. His work combines computational modelling with advanced manufacturing techniques to create bio-mechatronic systems. Although no specific publications are listed in the provided text, his research outputs span bio-inspired robotics, surgical robotics, and computational neuroscience, indicating a strong interdisciplinary focus on adaptive control, locomotion mechanisms, and neural controllers. His work on a serpentine robot using a virtual C. elegans nervous system gained international media coverage. Scientific recognition includes: EPSRC PhD+ Fellowship Media features in New Scientist, Financial Times, BBC Radio Leeds, and The Gadget Show Dr Boyle supervises postgraduate researchers and contributes to undergraduate education, particularly in electronics and microcontrollers for product design students. He also serves as a personal tutor and project supervisor for Mechatronics students. His educational approach is hands-on, integrating lectures with practical lab sessions. He is the Mechatronics Programme Manager and Public Relations Liaison for the EPSRC National Facility for Innovative Robotic Systems, and continues to contribute to the CoDIR project in a supervisory role.

Sanjiban ChoudhuryView profile

Assistant Professor

• Artificial Intelligence
• Robotics
• Reinforcement Learning
• +5 more

Sanjiban Choudhury is an Assistant Professor at Cornell University's Ann S. Bowers College of Computing and Information Science and a Machine Learning Researcher at Aurora. He leads the PoRTaL group, focusing on interactive AI agents that self-align through few-shot human interactions. His research emphasizes reinforcement learning (RLHF), imitation learning (IRL), and foundation models for robotics, planning, and code generation. Key achievements include receiving the 2025 ONR Young Investigator Award for multistep robot task learning, the OpenAI Superalignment Award (2024), and a Google Research Award for LLM-based planning. His group develops modular robotics foundation models (MOSAIC), earning best paper awards at ICRA 2024 workshops. Research projects aim to bridge AI language models with robotic execution, enabling robots to interpret manuals/videos and perform complex tasks like engine repairs in hazardous environments. Lab members include doctoral students Gonzalo Gonzalez, Yuki Wang, Kushal Kedia, and master’s student Prithwish Dan. Ongoing work focuses on task super-alignment, human-robot transfer learning, and open-source training models for the robotics community. Current funding supports developing robots capable of fluid, multi-step tasks through integrated AI systems.

Dawn TilburyView profile

Professor

• Control Systems
• Robotics
• Manufacturing Systems
• +7 more

Dr. Dawn Tilbury is a Professor and inaugural Department Chair of the Robotics Department at the University of Michigan, Ann Arbor. She holds courtesy appointments in Mechanical Engineering and Electrical Engineering and Computer Science (EECS). Her research focuses on control systems, including distributed control, manufacturing systems, human-robot interaction, and robotics reliability. She leads the Tilbury Lab, collaborating on projects such as smart manufacturing, dynamic systems modeling, and cyber-physical systems. Education: Bachelor of Science in Electrical Engineering, University of Minnesota Master of Science and Ph.D. in EECS, University of California, Berkeley Research Interests: Control theory applications, distributed systems, logic control for manufacturing, human-robot teaming, and digital twin integration. She co-leads initiatives like the Reconfigurable Manufacturing Systems Engineering Research Center (ERC/RMS) and has been Deputy Director of the Automotive Research Center (ARC). Articles Overview: Recent work spans human-autonomy collaboration, digital twin applications, supply chain optimization, and automated driving systems. Key themes include adaptivity, safety, and resilience in complex systems. Awards and Service: Served as NSF Assistant Director for Engineering (2017–2021). Active in professional organizations like the American Automatic Control Council (AACC) and IFAC. Co-organized workshops on logic control and robotics. Labs & Teams: Directs the Tilbury Research Group (TilLab), focusing on control theory and robotics. Collaborates with Prof. Kira Barton on smart manufacturing and Prof. Lionel Robert on human-robot teaming.

• Socio-Informatics
• Human-Computer Interaction (HCI)
• Social Robotics
• +7 more

Volker Wulf is a full Professor of Business Informatics and New Media at Universität Siegen, Germany, and Director of the School of Media and Information (iSchool). He holds a leadership role as Prorektor für Regionales und Digitales at the university. His academic journey includes studies at RWTH Aachen and Paris VI, followed by roles as visiting professor at Hamburg and Freiburg Universities, and a Fulbright fellowship at University of Michigan and Stanford University. Wulf is a CHI Academy member since 2018 and former spokesperson of DFG-SFB 1187 'Medien der Kooperation'. His research focuses on socio-informatics, exploring IT system design in real-world contexts such as cooperative systems, knowledge management, and end-user development. Recent work emphasizes social robotics in healthcare, crisis-responsive infrastructuring, and ethical AI integration. Over 350+ publications include books like End User Development (Springer) and Socio-Informatics (Oxford Press). Key projects include FOREA , DCitizens , and SEEDS , addressing digital innovation in rural regions and SMEs. Research labs like PRAXLABS and Fab Lab Siegen facilitate applied innovation. Awards include the CHI Academy designation and Fulbright recognition. Wulf advises on over 20+ grants focusing on digital transformation, regional innovation, and socially embedded technologies. Collaborations span global initiatives in Palestine, Brazil, and Iran, addressing challenges from e-waste management to activist content moderation. His work bridges academic research with societal impact through participatory design approaches.

Mariek E. SchmidtView profile

Professor

• Planetary Geology
• Volcanology
• Igneous Petrology
• +7 more

Mariek E. Schmidt is a Professor and Chair in the Department of Earth Sciences at Brock University, Faculty of Mathematics and Science. She is a leading planetary geologist with active research on both terrestrial and Martian volcanic systems. She has held key roles in multiple NASA Mars missions, including as a Participating Scientist on the Mars Science Laboratory (Curiosity) and Mars 2020 (Perseverance) missions, and previously as a Postdoctoral Collaborator on the Mars Exploration Rover mission. PhD, Oregon State University BA, Colby College Her research focuses on the petrology and geochemistry of igneous and volcanic rocks, particularly basalts on Mars and in volcanic fields across the western United States and Iceland. She integrates field geology, geochemical analysis, and data from planetary rovers to understand the eruptive and environmental histories of volcanic terrains. Her work has significantly contributed to understanding aqueous alteration, hydrothermal systems, and sedimentary processes in Gale Crater. Her recent publications highlight trends in Martian geochemistry, including the detection of tridymite, potassium-rich sandstones, and hydrothermal mineralization—evidence of complex aqueous histories on Mars. She frequently publishes in top journals such as Science , Nature Communications , and Journal of Geophysical Research: Planets . NASA Participating Scientist, Mars Science Laboratory (2012–present) NASA Participating Scientist, Mars 2020 Mission (2020–present) Associate Editor, Journal of Geophysical Research: Planets (2020–present) Editorial Board, Journal of Volcanology and Geothermal Research (2007–2016) She advises graduate students and leads a research group focused on planetary volcanism and crustal evolution. Her work is supported by the Canadian Space Agency and NASA. She has been involved in instrument development projects such as iSXRD and NeMO SAR. She teaches undergraduate courses in planetary science, mineralogy, and volcanology, and leads field camps in solid Earth geology. She is actively involved in planetary analog studies through the GeoHeuristic Operational Strategies Test (GHOST) rover team, developing best practices for autonomous exploration. Her lab at Brock University supports research in igneous petrology and planetary surface processes.

Eliseo FerranteView profile

Visiting Professor

• Swarm Robotics
• Complex Systems
• Machine Learning
• +7 more

Eliseo Ferrante is a Visiting Professor of Computer Science at New York University Abu Dhabi and a tenured Assistant Professor at Vrije Universiteit Amsterdam. He holds a PhD in Applied Sciences from Université Libre de Bruxelles and dual MSc degrees in Computer Science and Artificial Intelligence from Politecnico di Milano and the University of Illinois at Chicago. His academic work spans robotics, artificial intelligence, and complex systems, with a focus on swarm robotics and statistical physics. MSc, Computer Science and Artificial Intelligence – Politecnico di Milano MSc, Computer Science and Artificial Intelligence – University of Illinois at Chicago PhD, Applied Sciences – Université Libre de Bruxelles His research interests include swarm robotics, complex systems, machine learning, artificial intelligence, non-equilibrium statistical physics, and evolutionary and theoretical biology . Ferrante’s work bridges fundamental and applied research, aiming to develop scalable, controllable swarm systems that operate without centralized control or man-made infrastructure. He has contributed to over 80 publications across robotics, physics, and computer science. The 15 most recent articles reflect a consistent focus on decentralized control, emergent behavior in swarms, bio-inspired algorithms, and the application of statistical physics to robotics . Topics include UAV swarms, task allocation, energy efficiency, and human-swarm interaction, demonstrating both theoretical depth and real-world applicability. Eliseo Ferrante actively contributes to the academic community through editorial roles and conference organization, including serving as a co-organizer for IROS 2024 in Abu Dhabi. He has taught core computer science courses such as Data Structures , Machine Learning , Operating Systems , and the Capstone Project , mentoring students in research and development. His teaching spans from algorithm design to advanced machine learning and system-level programming. Ferrante leads research on large-scale robotic swarms, focusing on achieving a balance between scalability and controllability. His lab explores autonomous navigation in GPS-denied environments, swarm intelligence, and robust coordination in dynamic settings. He collaborates across disciplines, integrating insights from biology and physics into engineering solutions for real-world challenges.

Asieh Abolpour MofradView profile

Researcher

• Machine Learning
• Neural Networks
• Associative Memory
• +7 more

Asieh Abolpour Mofrad is a researcher at the Department of Informatics, University of Bergen (UiB), with a dual PhD background in behavioral sciences and informatics. She is currently engaged in the Retail Fresh project, leveraging machine learning to reduce food waste in the retail sector in collaboration with Link Retail. Previously, she contributed to the DRONE (Drug Repurposing for Neurological Diseases) project at the Department of Global Health and Public Health, UiB, where she applied machine learning to Norwegian health registry data to investigate Parkinson's disease treatments. Her academic credentials include two doctoral theses: one from OsloMet (2021) on the integration of behavior analysis and machine learning for modeling stimulus equivalence, and another from UiB (2021) on clique-based neural associative memories. Her research bridges artificial intelligence, cognitive modeling, neural networks, and public health applications. Her research interests span machine learning, neural associative memory, reinforcement learning, cognitive modeling, health informatics, and drug repurposing. She employs computational frameworks such as projective simulation and tournament-based neural networks to model complex cognitive and biological phenomena. The analysis of her recent publications reveals a consistent focus on machine learning applications in both cognitive science and healthcare. Her work includes modeling stimulus equivalence, designing neural memory architectures, solving stochastic optimization problems, and analyzing large-scale health data for neurological disease risk. These efforts reflect interdisciplinary innovation, combining theoretical computer science with real-world applications in psychology and medicine. Scientific Contributions: Developed the Enhanced Equivalence Projective Simulation (E-EPS) framework for modeling derived relations in behavior analysis. Designed tournament-based neural networks for efficient sequence storage and bidirectional retrieval. Applied machine learning to large-scale health registries to identify drug classes associated with Parkinson’s disease risk. Contributed to adaptive learning systems based on flow theory for educational optimization. She has advised no publicly listed students but collaborates extensively with researchers across institutions. Her work is supported by interdisciplinary research projects and she actively disseminates code via GitHub, particularly in Jupyter notebooks for reproducibility. She is affiliated with research teams in informatics and global health at UiB, contributing to both theoretical and applied machine learning initiatives. Laboratories and Research Teams: Department of Informatics, University of Bergen – Machine Learning and Neural Systems group. DRONE Project – Interdisciplinary team on drug repurposing using AI and health data. Retail Fresh Project – AI for sustainable retail, in collaboration with industry partners.