جستجوی استاد راهنمای دانشگاهی

Ming Caoمشاهده پروفایل

استاد

• Multi-agent systems
• Autonomous Robots
• Complex Systems and Networks
• +۴ مورد دیگر

Ming Cao is a Full Professor at the University of Groningen (Netherlands), holding positions in the Department of Discrete Technology and Production Automation, the Engineering and Technology Institute Groningen, and serving as Chair of the Jantina Tammes School of Digital Society, Technology and AI. His academic roles include Director of the Jantina Tammes School and membership in prestigious organizations such as the International Federation of Automatic Control (IFAC) and the European Commission’s DG CNECT. Cao’s research focuses on multi-agent systems, autonomous robotics, complex networks, and cooperative control, with applications in robotics, epidemic modeling, and biomimetic sensors. Education: PostDoc in Mechanical Engineering from Princeton University (2008), PhD in Electrical Engineering from Yale University (2007). Research Interests: Multi-agent systems, distributed decision-making, cooperative control, robotic teams, seal whisker-inspired flow sensing, and privacy-preserving control systems. Recent Trends in Articles: Recent work emphasizes co-evolutionary dynamics in social-technical systems, privacy in control systems, and biomimetic robotics. Key topics include feedback mechanisms in cooperation, hypergraph-based epidemic models, and seal whisker mechanics for underwater sensing. Awards: European Control Award (2016), Manfred Thoma Medal (2017), ERC Grant (2012). Grants: Vidi Grant from NWO (2015) for agent coordination research. Labs/Teams: Jan C. Willems Center for Systems and Control, Research Center for Data Science and Systems Complexity (DSSC). Active in editorial roles for journals like Artificial Life and Robotics and the SIAM Journal on Control and Optimization .

• Aerodynamics
• Animal Flight Mechanics
• Bio-inspired Robotics
• +۳ مورد دیگر

Florian Muijres is an Associate Professor and Chairholder at the Experimental Zoology Group, Wageningen University & Research, where he leads the Animal Flight Lab. His research focuses on the biomechanics, aerodynamics, and flight control of natural flyers such as insects, birds, and bats, with applications in bio-inspired robotics and ecological solutions like mosquito traps and flapping-wing drones. He holds a PhD from Lund University (Sweden) and conducted postdoctoral research at the Dickinson Lab, University of Washington (USA). Research Interests: Merging experimental and computational methods, his work explores primary research on flight mechanics (e.g., mosquito evasion, butterfly gliding) and applied studies (e.g., drone design, pollinator behavior in greenhouses). His lab uses advanced videography and robotic models to study flight dynamics under real-world conditions. Labs & Teams: The Animal Flight Lab collaborates with biologists, physicists, and engineers to investigate flight adaptations in mosquitoes, bumblebees, and pied flycatchers. Projects include developing high-efficiency traps and analyzing flight performance in complex environments.

• Swarm Robotics
• Artificial Intelligence
• Collective Decision Making
• +۵ مورد دیگر

Nicolas Cambier is a Visiting Professor at Vrije Universiteit Amsterdam, affiliated with the Faculty of Science's Artificial Intelligence department and the Network Institute. His research focuses on swarm robotics, collective behavior, and evolutionary systems. He explores topics like emergent communication, modular robotics, and prosociality in robotic swarms. Key areas include task-driven language evolution, adaptive decision-making, and environmental interaction in constrained environments. His work bridges theoretical models with practical implementations, emphasizing self-organization and cultural evolution in synthetic systems. Recent contributions address challenges in heterogeneous swarms, skill acquisition in modular robots, and decision-making without prior knowledge. He collaborates widely, with publications in IEEE Robotics and Automation Letters, Nature Communications, and top conferences like GECCO and Distributed Autonomous Robotic Systems. Research interests span robotics, artificial intelligence, and evolutionary computation, with applications to both theoretical frameworks and real-world robotic systems. His studies often involve agent-based simulations and embodied evolution approaches to understand complex collective phenomena.

J. Ellersمشاهده پروفایل

استاد

• Evolutionary Biology
• Ecology
• Molecular Ecology
• +۶ مورد دیگر

Prof. Dr. J. Ellers is a Full Professor at the Faculty of Science, Vrije Universiteit Amsterdam , and a member of the Amsterdam Institute for Life and Environment . His research focuses on understanding how an individual’s phenotype is shaped by interactions between genes, genome, and environment , employing molecular, physiological, and experimental tools within an evolutionary framework. Ellers contributes to the Netherlands Society of Evolutionary Biology (NLSEB) as a co-founder and serves as Vice-Chair of the Dutch Biology Council , advocating for biology research and education in the Netherlands. Research Interests: Ellers explores the intersection of evolutionary biology, ecology, and environmental science , with key themes in phenotypic plasticity, urbanization effects on species, trait-based ecology, and adaptive signaling . His work spans soil fauna dynamics, invasive species impacts, and metabolic adaptations , emphasizing interdisciplinary approaches to link mechanisms with ecological and evolutionary outcomes. Recent Publications highlight trends in urban ecology, climate change impacts, and trait evolution . Notable studies examine how noise and light pollution alter animal communication , high-sugar diets affect microbiomes , and robot morphologies reflect biological systems . His research also addresses data interoperability through initiatives like ShareTrait and global soil arthropod assessments . Scientific Contributions: Ellers advocates for open-access publishing and interdisciplinary climate change experiments. His leadership in the Dutch Biology Council and co-founding of NLSEB reflect sustained commitment to scientific policy and community engagement. Supervised 23 PhD theses and teaching courses like Ecosystem Services and Scientific Advocacy underscore his mentorship and educational impact.

• Biomimetics
• Bio-inspired Design
• Animal Flight
• +۶ 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
• +۳ مورد دیگر

Prof. D. (David) Lentink is a Full Professor of Biomimetics at the University of Groningen, Faculty of Science and Engineering. His research focuses on understanding biological flight mechanics, particularly in birds, to inspire advanced robotics and aerospace innovations. He holds a PhD in Experimental Zoology (cum laude, Wageningen University, 2008) and dual MS/BS degrees in Aerospace Engineering (Delft University of Technology, 2003). Lentink leads the Biomimetics Group, pioneering projects like rudderless flight and morphing-wing drones. His work bridges biomechanics, robotics, and aerodynamics, with notable contributions to aerial grasping systems and biomimetic materials. Education: PhD cum laude, Experimental Zoology, Wageningen University (2008) MS/BS, Aerospace Engineering, Delft University of Technology (2003) Research Interests: Biomimetics, bio-inspired design, animal flight biomechanics, aerodynamics of flight, and aerial robotics. His lab develops cutting-edge tools like the Aerodynamic Force Platform to measure in vivo forces and advanced wind tunnels for precise flight studies. Awards: 2018 Steven Vogel Young Investigator Award 2017 National Academy of Engineering Gilbreth Lecturer 2013 World Economic Forum Top 40 Scientists Under 40 Grants & Labs: Lentink oversees grants from NSF, Human Frontiers Science Program, and Dutch Academic Year Prize. His lab collaborates globally and maintains ties with Stanford University’s former projects. Current focus includes biomimetic drones for complex environments and understanding turbulence adaptation in birds.

Bahar Haghighatمشاهده پروفایل

استادیار

• Robotics
• Control Systems
• Artificial Intelligence
• +۱۱ مورد دیگر

Bahar Haghighat is a Tenure Track Assistant Professor in Robotics and Automation at the Faculty of Science and Engineering, University of Groningen. She leads the Distributed Autonomous Intelligent Systems (DAISY) Lab as Principal Investigator and contributes to academic governance as a Member of the Faculty Council. Her professional affiliations include the Royal Netherlands Institute of Engineers (KIVI), the Institute of Electrical and Electronics Engineers (IEEE), and editorial roles with Nature Portfolio Journal Robotics and Springer Nature Journal Autonomous Robots. Her educational background includes: PhD in Robotics, Control, and Intelligent Systems from the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland (2018) Master's degree in Electrical Engineering/Digital Electronics from Sharif University of Technology (SUT), Tehran, Iran Bachelor's degree in Electrical Engineering/Physics (double major) from Sharif University of Technology (SUT), Tehran, Iran Dr. Haghighat's research focuses on building novel miniaturized robotic swarms and algorithmic frameworks for sensing, surveying, and inspection applications. Her work spans mechatronics, electronics, embedded systems, embedded artificial intelligence and machine learning, and distributed systems. She envisions developing surface, aquatic, and aerial miniaturized robot swarms and small-scale intelligent devices for basic research and commercial applications including inspection of complex structures, environmental monitoring, space exploration, and search-and-rescue operations. Her recent publications demonstrate a strong focus on swarm robotics, particularly using particle swarm optimization techniques for multi-robot coordination, surface inspection tasks, and spacecraft hull inspection. Her research shows an interdisciplinary approach combining mechatronic design with advanced algorithms for self-assembly and collective decision-making in resource-constrained robotic systems. Her notable scientific achievements include: EPFL's PhD research award of Gilbert Hausmann for the best PhD thesis in mechanical engineering, electricity, and physics (2019) EPFL distinction of excellence for a PhD thesis in Robotics, Control, and Intelligent Systems (2018) Swiss National Science Foundation Postdoc Mobility Fellowship (2019) Swiss National Science Foundation Early Postdoc Mobility Fellowship (2017) Third place in EPFL's "My Thesis in 180 Seconds" competition (2017) EECS Rising Star recognition (2021 at MIT and 2019 at UIUC) Dr. Haghighat has served as Program Co-Chair for The International Symposium on Distributed Autonomous Robotic Systems (DARS) and has held visiting scholar positions at MIT and Harvard University. Her research has received media attention for applications in Mars rover technology and drone swarms for defect detection. She leads the DAISY Lab, which focuses on distributed autonomous intelligent systems for various inspection and monitoring applications.

• Robotics
• Swarm Robotics
• Collective Decision Making
• +۳ مورد دیگر

Eliseo Ferrante is an Assistant Professor at the Faculty of Science, Department of Artificial Intelligence, Vrije Universiteit Amsterdam. He is also affiliated with the Network Institute. His research focuses on swarm robotics, collective decision-making, and autonomous systems, contributing to UN Sustainable Development Goals. He teaches courses such as 'Learning Machines' and 'Collective Intelligence.' His research explores topics including robot swarms in challenging environments, evolutionary algorithms for adaptive robotics, and morphological evolution in robots. Key contributions include methods for robust swarming in GNSS-denied areas and optimized control strategies for evolvable morphologies. Dr. Ferrante has supervised 2 PhD theses and contributed to datasets on collective motion models and modular robotics. His work emphasizes practical applications of AI in robotics, with a focus on resilience and adaptability in complex systems.

Ruud Hortensiusمشاهده پروفایل

دانشیار

• Social Cognition
• Human-Computer Interaction
• Functional MRI
• +۴ مورد دیگر

Dr. Ruud Hortensius is a tenured Associate Professor at the Department of Social, Health and Organisational Psychology , Faculty of Social and Behavioural Sciences, Utrecht University . He is a social neuroscientist and interdisciplinary researcher combining psychology, AI, and social neuroscience to study human-AI interaction dynamics. Education: PhD in Affective & Social Neuroscience (Cum Laude), Tilburg University (2016) MSc in Neuroscience & Cognition, Utrecht University (2011) BSc in Psychology (Cum Laude) with Cognitive Neuroscience major, Utrecht University (2008) Research Focus: Investigates social cognition during long-term human-AI interactions, particularly within family contexts. Develops innovative neurocognition-at-home methods and mobile labs to study real-world social dynamics with AI. His work spans empathy, emotion perception, reward systems, and social dynamics. Selected Grants & Awards: ERC Starting Grant (2023) NWO NGF AiNed XS Europe Grant (2024) Association for Psychological Science Rising Star (2023) Labs & Collaborations: Leads the Human+ lab, collaborating with Utrecht's Relationship Lab , Human-centered AI Focus Area , Human-AI Alliance , and Embodied AI Initiative . Coordinates the AI Helpdesk public engagement platform and initiated an artist-in-residency project with Merel Bekking.

Karine da Silva Miras de Araujoمشاهده پروفایل

استادیار

• Robotics
• Artificial Intelligence
• Evolutionary Computing
• +۵ مورد دیگر

Karine da Silva Miras de Araujo is an Assistant Professor at Vrije Universiteit Amsterdam's Faculty of Science, affiliated with the Artificial Intelligence department and the Network Institute. Her research focuses on evolutionary robotics, digital organisms, and adaptive systems, emphasizing phenotypic plasticity, modular designs, and benchmarking frameworks. She teaches courses like Evolutionary Computing and Introduction to Artificial Intelligence. Her work explores topics such as controller architectures for arbitrary robot morphologies, lamarckian principles in robot evolution, and human-in-the-loop agent prototyping. Key contributions include the AMaze benchmark generator and studies on phenotypic plasticity costs in digital organisms. No scientific awards are explicitly listed. She has supervised one PhD thesis but specific student names are not provided. Her courses emphasize foundational AI concepts and evolutionary methodologies, reflecting her dual focus on theoretical advancements and practical applications in robotics.

Davide Dell'Annaمشاهده پروفایل

استادیار

• Human-centered Artificial Intelligence
• Human-AI Collaboration
• Social and Responsible AI
• +۳ مورد دیگر

Davide Dell'Anna is an Assistant Professor in the Responsible AI group of the Department of Information and Computing Sciences at Utrecht University. He is a member of the Hybrid Intelligence Centre, a 10-year program funded by the Dutch Ministry of Education, Culture and Science through NWO. His academic journey includes a Ph.D. from Utrecht University (2021), a Master's degree from the University of Turin (2016), and prior postdoctoral positions at Delft University of Technology (2021-2023) and within the Hybrid Intelligence Centre (2023-2024). Dr. Dell'Anna's research focuses on developing methodologies and solutions for Artificial Intelligence systems to cooperate synergistically and proactively with humans. His work specifically emphasizes automated and data-driven mechanisms that account for human intentionality and expertise to ensure AI behaviors are aligned with human norms and values. His research spans multiple domains including healthcare, social computing, and transportation, with applications in dementia therapy, epidemic simulation, and human-robot interaction. His scholarly output demonstrates a consistent focus on Human-centered AI, Norm-aware Systems, and Hybrid Intelligence. His recent publications explore quality models for Hybrid Intelligence teams, social norm-aware robot architectures, consent mechanisms for responsible autonomy, and replication practices in Requirements Engineering. His work bridges theoretical foundations with practical applications, particularly in healthcare contexts. Distinguished PC Member award - AAMAS 2025 (recognizing 35 out of 684 PC members, 5.1%) "Quality Champion" PC award - ECAI 2023 (recognizing 58 out of 700 eligible PC members, 8.3%) Outstanding PC member award - AAMAS 2023 (recognizing 16 out of 436 PC members, 3.7%) Dr. Dell'Anna actively supervises students and has mentored numerous Master's students including Karpínski, van Lindonk, Willems, and Brigola. He has secured competitive research funding including an NWO Open Competition Domain Science - XS Grant (€50,000) for developing human-like norm-aware cognitive robots. He serves as Associate Editor for CEUR-WS and co-chairs major international workshops including COINE@AAMAS 2025 and HHAI 2025, demonstrating significant leadership in the AI research community.

Kevin Godin-Duboisمشاهده پروفایل

پژوهشگر

• Reinforcement Learning
• Human-AI Interaction
• Evolutionary Robotics
• +۳ مورد دیگر

Kevin Godin-Dubois is a Researcher at the Faculty of Science, Vrije Universiteit Amsterdam (VU), with affiliations to the Network Institute. His work focuses on advancing artificial intelligence (AI) through interdisciplinary research, particularly in reinforcement learning, human-AI interaction, and evolutionary robotics. He leads projects involving modular frameworks for AI experiments and benchmark generators for agent prototyping. Research Interests: His primary areas include reinforcement learning frameworks, human-AI collaboration systems, neuroevolutionary techniques, and embodied evolution in robotics. His work bridges theoretical AI advancements with practical applications in socially adept agents and modular system design. Recent Trends: His 2024-2025 publications emphasize modular frameworks (e.g., SHARPIE and AMaze), which enable scalable experimentation and benchmarking of AI agents. Earlier work (2017-2020) explored long-term evolutionary dynamics in artificial ecosystems and plant communities, showcasing adaptability in changing environments. Collaborations: Active in international workshops (e.g., ALIFE 2024) and open-source projects (ci-group/revolve2), emphasizing reproducibility and community-driven AI development.

Giacomo Spiglerمشاهده پروفایل

استادیار

• Deep Learning
• Deep Reinforcement Learning
• Meta-Learning
• +۶ مورد دیگر

Dr. Giacomo Spigler is a Tenured Assistant Professor at Tilburg University's Department of Cognitive Science and Artificial Intelligence (TSHD). He co-directs the AI for Robotics Lab (AIR-Lab) and the MindLabs Robotics & Avatars Lab. His research focuses on deep reinforcement learning for robotics, meta-learning, and evolutionary robotics, with applications in human-robot interaction and autonomous systems. Education: Ph.D. in Computational Neuroscience, University of Sheffield (2018) M.Sc. Cognitive Science (Computational Neuroscience), University of Edinburgh (2014) B.Sc. Computer Engineering, Sant’Anna School of Advanced Studies and University of Pisa (2012) Research Interests: Spigler explores artificial general intelligence, continual learning, and biohybrid systems. He develops algorithms for robotics that bridge simulation and real-world deployment, emphasizing embodied cognition and intuitive engineering principles. Key Projects: Co-PI of the STEADFAST project (Swarm Technology for Military/First Responder Operations) Developed the Tilburg Hand robot platform for reinforcement learning research Teaching: Courses include Deep Reinforcement Learning (MSc), Calculus (BSc), and Elements of Machine Learning (BSc AI Minor), with a focus on hands-on robotics applications.

Pim Bouteمشاهده پروفایل

استاد مدعو

• Marine Biology
• Fisheries Sustainability
• Biomimetics
• +۳ مورد دیگر

Pim Boute is an Externe medewerker (External Member) at the University of Groningen's Faculty of Science and Engineering , within the Biomimetics department. His research focuses on sustainable fishing technologies, marine organism behavior, and biomimetic engineering solutions. Key areas include electrotrawling sustainability, fish behavioral responses to electric fields, and hydrodynamic adaptations in boxfishes. He has contributed to international initiatives like the ICES Working Group on Electrical Trawling (WGELECTRA), advocating for environmentally friendly fishing practices. His work aligns with UN Sustainable Development Goals related to life below water and sustainable consumption. Boute has published extensively on electrotrawling's ecological impacts, comparing traditional beam trawls with pulse methods. Notable collaborations include studies on fish welfare, gear optimization, and bio-inspired filtration systems derived from manta rays. Boute actively engages in policy discussions, presenting findings in the European Parliament and contributing to media discourse on fisheries sustainability. He organizes international workshops, such as the Nature4Nature project's training modules on bioinspired design and numerical modeling. Key Projects: Electrotrawling sustainability reviews, biomimetic filtration prototypes, and fish injury studies. Media Outreach: Over 35 press mentions, including expert commentary on pulse trawling's environmental benefits. Labs/Teams: Collaborates with ICES and EU-funded networks, focusing on marine conservation and gear innovation.

• Evolutionary Computing
• Adaptive Systems
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Gusz Eiben is a Full Professor at Vrije Universiteit Amsterdam, affiliated with the Faculty of Science (Artificial Intelligence), Network Institute, and Computational Intelligence. His research focuses on evolutionary computing, adaptive systems, and robotics, particularly in controller optimization and AI-driven robotics. He holds an ORCID ID: 0000-0002-3106-4213 . His work explores evolutionary algorithms, reinforcement learning, and robotic morphologies, with applications in hardware-software integration and autonomous systems. Notable contributions include studies on robot curriculum learning and evolvable traits in robotics. Awards : 2001 IEEE Transactions on Evolutionary Computation Outstanding Paper Award Best Paper Award at EvoApps (2012) Best Paper Award at PPSN (2014) Activities : Active in academic memberships including IEEE Transactions on Evolutionary Computation, Journal of Evolutionary Optimization, and various conferences since 2000. Teaches the Evolutionary Computing course (2024–2025). Research datasets include studies on drone flocking optimization and modular robot skill learning, available via Dryad and Zenodo.