جستجوی استاد راهنمای دانشگاهی

Prof. Sarthak Misra is a Full Professor in Medical Robotics at the University of Groningen’s Faculty of Medical Sciences, affiliated with the University Medical Center Groningen (UMCG). He leads research in the Robotics and image-guided minimally-invasive surgery (ROBOTICS) group and the Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE) team. His work focuses on advancing medical robotics, microrobotics, and magnetic actuation technologies for surgical and biomedical applications. He holds an ORCID identifier and has published over 127 research outputs, including high-impact articles in journals like Advanced Materials Technologies and European Heart Journal . His research addresses challenges in minimally invasive surgery, soft robotics, and smart materials. Media engagements highlight his contributions to robotic surgery and addressing healthcare workforce shortages through automation. Research interests include: Microrobotics and fluidic systems Magnetic and acoustic actuation for medical devices Soft robotic systems for surgical applications Image-guided interventions 3D printing for biomedical robotics His recent articles emphasize innovations like MagNoFE3D printing and magnetic probes for endovascular interventions. Collaborations span global institutions, reflecting his interdisciplinary approach. No explicit awards are listed, but his extensive media coverage and 127+ publications underscore his impact. He is involved in grants, including OTP-funded projects, and mentors students in advanced robotics and medical engineering.

• Medical Robotics
• Surgical Robotics
• Microrobotics
• +۳ مورد دیگر

Sofie Haesaert is an Assistant Professor in the Control Systems group at the Department of Electrical Engineering, Eindhoven University of Technology. Her work focuses on formal verification and control synthesis methods for cyber-physical systems, particularly through stochastic simulation relations and temporal logic specifications. Education: BSc (cum laude) and MSc (cum laude) in Mechanical Engineering and Systems & Control from Delft University of Technology; PhD from Eindhoven University of Technology (2017) Experience: Postdoctoral researcher at Caltech (2017-2018), then returned to TU/e as Assistant Professor Her research interests include: Cyber-physical systems verification Stochastic control methods Temporal logic specification Markov decision processes Formal methods in control engineering Model abstractions and simulation relations Recent publications show strong focus on: Stochastic temporal logic control Robust and risk-aware control Multi-agent system verification Formal synthesis via simulation relations AI integration in control systems Software tools for formal control Scientific achievements: Veni Grant recipient (2020) Co-developer of the SySCoRe toolset for stochastic control synthesis Contributor to formal verification benchmarks through ARCH-COMP reports She contributes to education through courses on: Control principles for engineered systems Control challenges in autonomous racing Supervisory control of cyber-physical systems Haesaert collaborates across disciplines including computer science, applied mathematics, and robotics, with over 750 citations and significant contributions to formal control theory for stochastic systems. Her work bridges theoretical developments with practical applications in autonomous systems and complex control architectures.

• Cyber-Physical Systems
• Control Theory
• Formal Verification
• +۳ مورد دیگر

Dr. Yara Khaluf is an Assistant Professor in the Information Technology Group at Wageningen University & Research, Department of Social Sciences. She holds a PhD (2014, Paderborn University, cum laude) on robot swarm task allocation, followed by postdoctoral research at Paderborn University (2014–2015) and Ghent University’s IDLab (2015–2021). Her work focuses on computational social science, hybrid human-agent societies, and distributed artificial cognition, leveraging agent-based modeling and systems dynamics for behavior prediction/modulation. She leads European-funded projects like ChronoPilot (EU Horizon2020 FET) and DELICIOS (FWO, 2019–2022). Her research explores interactions between artificial agents and humans, developing cognitive capacities for seamless interaction via social feedback networks. Notable contributions include collective foraging algorithms, time perception modeling, and agent-based simulations for public health interventions. Awards include competitive IGS and DFG fellowships. She collaborates with leading experts in swarm intelligence (Dorigo, Stuetzle), collective decision-making (Hamann, Marshall), and experimental psychology (Johansson, Vatakis). Current projects investigate modulating human time perception and delegation of conflict-of-interest decisions to AI agents. Teaching includes courses on model thinking, agent-based modeling of complex systems, and data science applications in food/consumer science. Her work bridges computational methods with societal challenges, emphasizing scalable solutions for hybrid systems.

• Computational Social Science
• Artificial Intelligence
• Robotics
• +۵ مورد دیگر

Giulio Dagnino is Associate Professor of Robotics and Mechatronics at the University of Twente and concurrently holds an appointment at the Digital Society Institute. His research integrates medical robotics, real-time perception and haptics to create MR-compatible platforms for endovascular surgery, earning an h-index of 17 and 971+ citations. Education & Career: PhD (details not specified in source) leading to faculty appointment at University of Twente. Promoted to Associate Professor with cross-appointments in Robotics & Mechatronics and Digital Society Institute. Research Interests: Prof. Dagnino’s core interest is medical robotic systems that can operate safely inside an MRI scanner. His work spans haptic guidance, real-time computer vision, soft robotic actuation, synthetic data generation and surgical simulation. By combining ferrofluid actuation, electromagnetic tracking and deep-learning-based scene understanding, he aims to reduce ionizing radiation exposure, enhance navigation accuracy and shorten procedure times for minimally invasive endovascular interventions. Publications Trend: Across 44 outputs (2010-2025) the portfolio reveals a clear evolution from early vision-based microsurgery and fracture-robot systems (2010-2016) toward holistic endovascular platforms integrating MR guidance, haptics and autonomy. Recent 2024-25 papers cluster around (i) synthetic data & scene understanding for surgical AI, (ii) MR-safe robot design and tracking, and (iii) translational studies bringing CathBot and related platforms closer to clinical use. Scientific Awards: Best Design Award – Hamlyn Symposium 2019 (with team) Best Innovation Award – ICRA 2018 Best Paper Award – CURAC 2019 IEEE ICRA Best Paper Award in Medical Robotics – 2016 Grants & Projects: Although explicit grant numbers are not listed, the continuous outputs, patents, multi-institutional collaborations (UK, Germany, Estonia, Canada) and press releases imply sustained funding from EU, Dutch and UK research councils as well as industrial partnerships. Labs & Teams: He leads activities within the Robotics and Mechatronics group at University of Twente, collaborates closely with the Digital Society Institute, and maintains international partnerships visible in co-authored papers with Imperial College London, University of Leeds, and several European hospitals.

• Medical Robotics
• Endovascular Robotics
• Computer Vision
• +۵ مورد دیگر

David Lentink is a Full Professor of Biomimetics at the University of Groningen , leading the Biomimetics Group within the Faculty of Science and Engineering. His research bridges biomechanics, aerospace engineering, and robotics, focusing on avian flight mechanics and bio-inspired aerial robotics . Previously at Stanford University, he pioneered the development of the Aerodynamic Force Platform and low-turbulence wind tunnels for animal flight studies. Education : PhD in Aerospace Engineering (Stanford), MSc in Mechanical Engineering (Delft), BSc in Mechanical Engineering (Delft). Research Interests : Understanding bird flight biomechanics to design advanced drones, studying evolutionary adaptations in flight, and developing biohybrid robots with real feathers. Scientific Awards : Dutch Academic Year Prize for the Flight Artists (2013). World Economic Forum Young Scientist under 40 (2013). Alumnus of the Young Academy of The Royal Netherlands Academy of Arts and Sciences. Labs : The Lentink Lab at Groningen’s Linnaeusborg campus integrates bird aviaries, wind tunnels, and maker spaces for bio-inspired robotics development. His team collaborates globally with institutions like Stanford, TU/e, and Sorama.

• Biomimetics
• Bio-inspired Design
• Animal Flight
• +۶ مورد دیگر

A.A.J. (Erjen) Lefeber is an Assistant Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). His research focuses on control systems, cooperative driving, vehicle dynamics, and autonomous systems. He is affiliated with the EAISI Mobility cluster and the ICMS Core group, emphasizing interdisciplinary collaboration. Dr. Lefeber has contributed to over 150 research outputs, including peer-reviewed articles, conference contributions, and datasets. His work addresses challenges in platooning systems, model predictive control (MPC), cybersecurity in cooperative vehicles, and multi-agent systems. Research interests include cooperative adaptive cruise control (CACC), decentralized control strategies, and robust control against adversarial attacks. His projects integrate theoretical analysis with experimental validation, such as testing heterogeneous platoons with actuation delays. Dr. Lefeber has received the AVEC '24 Best Paper Award for contributions to vehicle platooning control. He teaches courses on nonlinear control, manufacturing networks, and mechanical engineering fundamentals. Collaborations span academia and industry, focusing on sustainable transportation and automation. Current efforts explore online learning for interaction dynamics in multi-agent systems and high-performance MPC for aerial robotics. His research aligns with UN Sustainable Development Goals, particularly addressing safe and efficient mobility solutions.

• Control Systems
• Vehicle Dynamics
• Cooperative Control
• +۳ مورد دیگر

Stefano Puntoni is a Professor of Marketing and a behavioral scientist at the Rotterdam School of Management, Erasmus University. He serves as Head of the Department of Marketing Management at RSM and as Director of the Psychology of AI Lab at the Erasmus Centre for Data Analytics. His academic journey began with a "Laurea" in Statistics and Economics from the University of Padova in 2000, followed by a Ph.D. in Marketing from London Business School in 2005. His primary research focuses on autonomous technology adoption in consumer markets and production, with particular emphasis on the value of human labor in the age of AI. Additional research areas include advertising language, consumer identity, and numerical cognition. Puntoni's work spans interdisciplinary boundaries, connecting marketing, psychology, and artificial intelligence. An analysis of his recent publications reveals a strong trend toward understanding human-AI interactions in consumer contexts. His research examines how consumers perceive decisions made by algorithms versus humans, preferences for material versus digital products in identity-based consumption, and psychological reactions to human versus robotic job replacement. These studies collectively explore the tension between technological advancement and human elements in decision-making processes. Scientist in Residence, Experiments in Arts and Economics, ZKM Centre for Art and Media (2021) Science Communication Grant, Royal Dutch Academy of Sciences (€10,000) (2021) Case Centre's Marketing Case Award (2021) EFMD Case Writing Award (2020) Case Centre's Outstanding Case Writer Award (2020) C.W. Park Award, Journal of Consumer Psychology (2019) Puntoni has mentored numerous doctoral students, including Phyllis (Jia) Gai, Eugina Leung, and Elisa Maira, many of whom have gone on to prestigious academic positions. He currently serves as Associate Editor for both the Journal of Consumer Research and the Journal of Marketing. His teaching spans marketing strategy, innovation and technology adoption, brand management, and decision making across multiple institutions including RSM, Lancaster University, London Business School, and Bocconi University. As Director of the Psychology of AI Lab at the Erasmus Centre for Data Analytics, Puntoni leads a research team exploring the intersection of human psychology and artificial intelligence in business contexts. His lab focuses on understanding consumer and worker reactions to AI implementation, with practical applications for businesses navigating the digital transformation.

• Consumer Behavior
• Artificial Intelligence
• Decision Making
• +۴ مورد دیگر

Professor Peter Asaro is an Associate Professor at The New School's School of Media Studies, specializing in the philosophy of science, technology, and media. His work focuses on artificial intelligence, robotics, and the ethical, legal, and social implications of autonomous systems. He serves as Co-Founder and Co-Chair of the International Committee for Robot Arms Control (ICRAC) and has held research positions at Princeton University, Rutgers University, Umeå University, and the Austrian Academy of Sciences. Education: PhD, MCS, MA, BA His research spans military robotics, AI ethics, surveillance, and the societal impacts of automation. He has contributed to influential publications in journals like IEEE Technology & Society and Robot Law , with a focus on lethal robotics, legal liability, and privacy. Recent work includes critiques of predictive policing algorithms and autonomous weapons systems. Notable awards include the 2010 SXSW Web Interactive Awards for Technical Achievement and Best of Show for his contributions to Apple’s Siri and Microsoft’s Bing math query interfaces. He is currently writing a book on robotics and ethical intersections. Scientific Awards: 2010 SXSW Web Interactive Award for Technical Achievement 2010 SXSW Web Interactive Award for Best of Show Asaro leads funded projects like the Oral History of Robotics (IEEE & NEH) and Regulating Autonomous Artificial Agents (Future of Life Institute). He also contributes to public discourse on technology through his blog and affiliation with 4TU.Ethics and ICRAC.

• Artificial Intelligence Ethics
• Robotics
• Military Technology
• +۶ مورد دیگر

Jordan Boyle is an Assistant Professor in the Department of Sustainable Design Engineering at the Faculty of Industrial Design Engineering, Delft University of Technology (TU Delft). He is affiliated with the Materializing Futures Section, where he conducts research in robotics, bio-inspired systems, swarm intelligence, and human-robot interaction. Academic Background: PhD in Computer Science, University of Leeds – focused on neuro-mechanical control of locomotion in C. elegans . MSc and BSc (Hons) in Electrical Engineering, University of Cape Town. Prior academic experience at the University of Leeds as Research Fellow, Lecturer, and Associate Professor over 12 years. Research Interests: Dr. Boyle’s research centers on robotics with a strong emphasis on bio-inspired design. His work spans swarm intelligence , multi-robot systems , human-robot interaction , and robotic fabrication . He also specializes in designing experimental apparatus for pre-clinical and engineering applications. His interdisciplinary approach integrates mechanical design, control systems, and AI for real-world deployment in construction, medicine, and infrastructure. Publication Trends: His recent publications (2022–2024) demonstrate a clear trajectory toward bio-inspired autonomous systems applied in construction and medical imaging. Key themes include swarm robotics for construction, MRI trajectory correction with robotic components, and locomotion mechanisms inspired by biological systems. These works reflect strong interdisciplinary collaboration, particularly with biomedical and mechanical engineering teams. Teaching: Product Engineering (2024, 2025) Advanced Product Engineering (2024, 2025) Scientific Affiliations and Activities: Visiting Researcher, School of Mechanical Engineering, University of Leeds (2022–2026) Advising and Grants: While no formal students or specific grants are listed in the provided text, Dr. Boyle has supervised research projects and collaborated across disciplines, particularly in medical and civil engineering applications. His role in designing experimental apparatus indicates active involvement in grant-funded interdisciplinary research. Labs and Research Groups: He is part of the Materializing Futures Section within Sustainable Design Engineering, which likely operates in conjunction with TU Delft’s broader design and robotics labs, though specific lab names are not mentioned.

• Robotics
• Bio-Inspired Robotics
• Swarm Intelligence
• +۷ مورد دیگر

Martijn Mes is a full professor of Transportation and Logistics Management and chair of the Industrial Engineering & Business Information Systems section at the University of Twente, Netherlands. He leads research and education initiatives that integrate AI, simulation and optimisation into logistics and supply-chain innovation. Education: Ph.D. in Operations Research, University of Twente – 2008 M.Sc. in Applied Mathematics, University of Twente – 2002 Post-doctoral researcher, Princeton University, Dept. of Operations Research & Financial Engineering Research focus: Mes develops quantitative models and AI techniques for strategic, tactical and operational logistics challenges. His work spans three application pillars: Emergency & humanitarian logistics – rapid relief distribution with trucks and UAVs Urban logistics – city distribution, self-organising systems and last-mile innovations Sustainable logistics – synchromodal transport, green ports and electric/autonomous fleets Methodologically he combines approximate dynamic programming, reinforcement learning, multi-agent simulation, discrete-event simulation and stochastic optimisation to create decision-support tools for industry and government. Publications trend: Recent articles (2025-2022) exhibit a strong emphasis on integrating reinforcement learning and stochastic optimisation into dynamic vehicle routing, drone-assisted delivery and post-disaster inventory allocation, signalling a shift towards data-driven, real-time logistic systems. Grants & projects: Mes has coordinated and participated in numerous national and European projects on sustainable logistics, urban distribution, port optimisation and healthcare logistics, frequently collaborating with industry partners and public bodies. Teaching & supervision: He coordinates and lectures in the BSc and MSc programmes Industrial Engineering & Management, offering courses on simulation, queueing theory, dynamic programming, Markov chains, transportation management and technology management. He has authored a widely used Plant Simulation tutorial and supervises PhD candidates working on AI-driven logistics, autonomous vehicles and digital twins.

• Transportation and Logistics Management
• Artificial Intelligence for Logistics
• Synchromodal Transport
• +۱۱ مورد دیگر

Simon Parsons is a Professor of Machine Learning at the University of Lincoln and Director of the Centre for Doctoral Training on AI for Sustainable Agriculture. Education: PhD, University of London, 1993 Previous Academic Positions: Queen Mary and Westfield College Massachusetts Institute of Technology City University of New York University of Liverpool King's College London Research Interests: Simon's research centers on the design and analysis of autonomous systems, particularly how teams of autonomous systems make decisions in complex environments. He is a leading expert in computational argumentation, with foundational contributions to argument-based dialogue systems and argumentation for explanation. Recently, he has directed these interests toward sustainable agriculture, leading projects on agricultural robot safety assurance, human-robot interaction explanation optimization, food supply chain waste reduction, plant nitrogen measurement, precision herbicide application, and generative AI modeling of cow rumen biome dynamics. Awards: No scientific awards mentioned in the provided text. Leadership and Projects: As Director of the Centre for Doctoral Training on AI for Sustainable Agriculture, he spearheads interdisciplinary initiatives integrating machine learning with agricultural science to address global food security challenges, emphasizing both productivity gains and environmental sustainability through cutting-edge robotics and AI solutions.

• Autonomous Systems
• Multi-agent Systems
• Computational Argumentation
• +۴ مورد دیگر

Prof. E.K.A. Gill is a faculty member at the Faculty of Aerospace Engineering , Delft University of Technology (TU Delft) , specializing in Space Systems Engineering . His work focuses on satellite systems, spacecraft autonomy, and space debris mitigation. Academic Rank: Professor Key Affiliation: TU Delft Research Focus: Dr. Gill's research spans satellite communication systems, autonomous space robotics, and space debris risk analysis. He actively explores neural network applications for fault detection and multi-layer optimization strategies for space missions. Recent Trends: GNSS-assisted clock systems for small satellites Key Domains: RF engineering, spacecraft attitude control, debris removal mechanics Scientific Recognition: INCOSE Fellow (2021) - Recognized for contributions to systems engineering in aerospace Collaborations: Maintains extensive international collaborations in space systems research, with a recent focus on miniaturized spacecraft technologies and heterogeneous clock synchronization.

• Satellite Systems
• Spacecraft Engineering
• Orbital Mechanics
• +۵ مورد دیگر

Prof. Mehdi Dastani is a Professor and chair of the Intelligent Systems group within the Department of Information and Computing Sciences at Utrecht University's Faculty of Science. He leads the Master's program in Artificial Intelligence and focuses on formal and computational models in AI, particularly multi-agent systems. His research integrates insights from philosophy, psychology, and law to develop autonomous agents that reason about social and cognitive concepts like norms, emotions, and responsibility. Dastani has held academic roles at Utrecht University since 2001, including postdoctoral research and faculty positions. Education: M.Sc. Computer Science (University of Amsterdam, 1991), M.Sc. Philosophy (University of Amsterdam, 1992), Ph.D. in Humanities (University of Amsterdam, 1998). His work spans theoretical and applied projects, including grants for initiatives like Golden Agents (simulating Golden Age creative industries) and traffic control systems using virtual organizations. He is actively involved in academic committees, editorial boards, and organizing international conferences like AAMAS and PRIMA. Research Interests: Multi-Agent Programming, Normative Systems, Autonomous Agents, Cognitive Robotics, and Human-Centered AI. His projects address challenges like norm enforcement, decision-making in complex systems, and ethical AI integration with societal needs. Advising & Grants: Supervised numerous PhD students (e.g., Birna van Riemsdijk, Bas Testerink) and secured grants for projects such as 'Controllable AI: Human-Centered Approach'. His work includes collaborations on urban governance, autonomous driving, and AI tools for literacy support in children. Labs & Teams: Leads the Intelligent Systems group, contributing to agent-based simulations, ethical AI frameworks, and interdisciplinary collaborations with social scientists and urban planners.

• Artificial Intelligence
• Multi-Agent Systems
• Formal Methods in AI
• +۵ مورد دیگر

Dr. Corentin Coulais is a Professor in the Department of Physics at the University of Amsterdam's Faculty of Science. He leads the Machine Materials Laboratory, focusing on cutting-edge research at the intersection of physics, materials science, and engineering. His work explores the fundamental mechanics of structured materials and their applications in robotics, sensing, and programmable matter. Dr. Coulais's research interests center on mechanical metamaterials, active matter, and topological materials. His laboratory investigates how to design materials with unprecedented properties by leveraging mechanical instabilities, nonlinearity, and topology. His work spans from fundamental theoretical concepts to practical applications in soft robotics, shape-morphing structures, and energy absorption systems. The research combines experimental approaches with computational modeling and increasingly incorporates machine learning techniques for design optimization. His recent publications reveal a strong trend toward increasingly sophisticated control of material behavior through topological principles, active components, and learning algorithms. His work has evolved from basic mechanical metamaterials to systems incorporating non-reciprocity, active matter principles, and machine learning for design. The research spans fundamental physics of mechanical systems to practical applications in robotics and programmable matter. Dr. Coulais has established the Machine Materials Laboratory as a leading center for mechanical metamaterials research. His team develops innovative experimental setups and theoretical frameworks to explore the rich behavior of structured materials. The laboratory maintains strong connections with other research groups internationally and collaborates across disciplines including physics, engineering, and computer science.

• Mechanical Metamaterials
• Active Matter
• Topological Materials
• +۵ مورد دیگر

Dr. Maya Aghaei is a Lecturer and Researcher in Computer Vision & Data Science at NHL Stenden University of Applied Sciences, part of the Academy Technology & Innovation. She holds a M.Sc. in Artificial Intelligence and a Ph.D. in Computer Vision from the University of Barcelona. Her academic role includes supervising Minor and Master students while focusing on applying cutting-edge AI techniques to real-world challenges. Prior to her current position, she served as a Postdoctoral Researcher at the Italian Institute of Technology, developing AI solutions for industrial applications. Her research spans Computer Vision, Machine Learning, and General AI with a focus on surveillance systems, autonomous drones, hyper-spectral imaging for environmental analysis, and social signal processing through egocentric data. Notable projects include crime scene classification via trajectory analysis, obstacle detection for BVLOS drones, and psychological trait prediction based on clothing analysis. Dr. Aghaei's work emphasizes real-world applicability, bridging theoretical advancements with practical implementations in industries like agriculture, waste management, and public safety. Her interdisciplinary approach combines technical innovation with societal relevance, addressing challenges from plastic recycling to social distancing compliance through computer vision systems.

• Computer Vision
• Machine Learning
• General AI
• +۶ مورد دیگر