جستجوی استاد راهنمای دانشگاهی

Dr. Guillermo Amador is an Assistant Professor in the Experimental Zoology department at Wageningen University & Research. His research focuses on understanding how animals interact with complex environments through locomotion, adhesion, and fluid dynamics. He investigates biological systems like insects, plants, and marine organisms to inspire bio-engineered solutions for robotics, microfluidics, and material science. Amador received his PhD in Mechanical Engineering from Georgia Institute of Technology (USA), followed by postdoctoral research at the Max Planck Institute for Intelligent Systems (Germany) and a Marie Sklodowska-Curie fellowship at TU Delft (Netherlands). His expertise spans biophysics, biomaterials, and biomechanics, with a focus on self-cleaning mechanisms and bioadhesion. He collaborates with the 4TU consortium on Dutch Soft Robotics to develop bio-inspired designs. His work bridges fundamental biology with engineering applications, emphasizing interdisciplinary approaches to solve challenges in robotics and environmental science. Amador teaches courses including Biomimetics and Functional Zoology , integrating his research into education. His research highlights include studies on cuttlefish suction cups, stick insect adhesion, and pollen transport mechanisms in pollinators.

• Biophysics
• Biomaterials
• Biomechanics
• +۷ مورد دیگر

Javier Alonso-Mora is a Professor in the Department of Mechanical Engineering at Delft University of Technology, specializing in Learning & Autonomous Control. His research focuses on autonomous systems, robotics, motion planning, and transportation logistics, with applications in mobile manipulation, dynamic environments, and urban mobility. He leads key projects such as INTERACT (Intuitive Interaction for Robots among Humans) and ACT (Perceptive Acting Under Uncertainty), exploring human-robot interaction, autonomous vehicles, and healthcare robotics. Notable achievements include an ERC Starting Grant (2022) and a Veni Grant (2017). His work addresses challenges in robot navigation, control systems, and fleet optimization, with contributions to both theoretical advancements and practical implementations. Projects like TRiLOGy focus on sustainable water transportation, while HARMONY advances assistive robotics in healthcare. Alonso-Mora’s research leverages geometric fabrics for motion planning, probabilistic modeling for dynamic environments, and multi-agent coordination. He collaborates internationally and contributes to open-source frameworks for robotics. His recent publications emphasize safety-aware control, instance-aware semantic mapping, and adaptive systems for cluttered environments.

• Autonomous Systems
• Robotics
• Motion Planning
• +۳ مورد دیگر

Elly Konijn is a Full Professor at the Faculty of Social Sciences and Humanities and Network Institute of Vrije Universiteit Amsterdam, holding the Fenna Diemer-Lindeboom Endowed Chair. As chair of the Media Psychology Amsterdam program, her work bridges media psychology, social robots, affective processing, and adolescent media use . Research Pillars : Relating to media figures, virtual humans, and social robots Media-based reality perceptions and moral standards Adolescent media effects (cyberbullying, video games, body image) Recent Publications explore emotional bonding with robots, narrative complexity in film, and media's impact on adolescent cognition. Her 2025 Communication Theory article introduces a framework for human-artificial others relationships. Scientific Recognition : KNAW/NWO Eurekaprijs (2015) Computable Award (2021) Network Institute Competitive Research Funding (2025) She supervises 16 PhD students and leads projects like ROBOT-BOND (ERC Advanced Grant 2025-2029) and Communicating with Social Robots (2020-2025). Her documentaries (e.g., Alice Cares ) translate research into public discourse.

• Media Psychology
• Social Robots
• Human-Robot Interaction
• +۳ مورد دیگر

Daniela Kraft is a Professor of Experimental Physics at the Huygens-Kamerlingh Onnes Laboratory , part of the Leiden Institute of Physics (LION) at Leiden University. She obtained her Ph.D. cum laude from Utrecht University and completed postdoctoral research at New York University's Center for Soft Matter Research with a Rubicon grant. Her research bridges self-assembly in soft and biological matter , including colloidal particles , lipid membranes , and active systems . Key awards include the NWO Athena Prize (2019) , ERC Starting Grant , VENI/VIDI fellowships , and the Biophysical Journal Paper of the Year (2017) . She has published extensively in journals like Nature Communications , ACS Nano , and Physical Review Letters , with recent work on membrane-deforming colloids , non-additive interactions , and anisotropic microswimmers . Research Focus : Self-organization principles in biological and synthetic systems, colloidal model systems, and non-equilibrium physics. Labs : Leads the Kraft Lab at Leiden University. Education : Ph.D. in Physics (Utrecht University), Postdoc in Soft Matter Physics (NYU).

• Self-Assembly
• Soft Matter Physics
• Biophysics
• +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 .

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

Hyosang Lee is an Assistant Professor in the Robotics Section of the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). He holds a PhD from KAIST and has held research positions at the Max Planck Institute and University of Stuttgart. His work focuses on tactile sensing technologies, including artificial skin development, soft robotics, and integration of sensory systems with AI. Bachelor's: Mechanical Engineering, Korea University Master's: Robotics and Mechanical Engineering (double major) PhD: Mechanical Engineering, KAIST (2017) Research interests span tactile sensor design, electrical impedance tomography (EIT), and human-robot interaction. His group emphasizes creating scalable, flexible tactile systems for robots. Recent work includes air pressure sensing for force estimation and biomimetic skin materials. Publications highlight innovations in multi-directional force sensing, soft component technologies, and haptic interfaces for autism therapy. He teaches 'Dynamics and Control of Robotic Systems' and serves on the editorial board of npj Robotics . No formal student advisees are listed, though his lab, the Tactile Sensing and Robotic Skin Group , likely involves graduate researchers. His research contributes to UN Sustainable Development Goals related to health and technology.

• Tactile Sensing
• Robotics
• Soft Robotics
• +۴ مورد دیگر

René van de Molengraft is a Full Professor of Robotics at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e). He holds dual professorships in EAISI High Tech Systems and EAISI Foundational. His research focuses on autonomous robotic systems operating in human environments, emphasizing adaptability and task execution in varying conditions. Academic Background: MSc in Mechanical Engineering (TU/e, 1986) PhD in Identification of Mechanical Systems for Control (TU/e, 1990) Career progression: Assistant Professor (1990–2008) → Associate Professor (2008–2024) → Full Professor (2024) Research Interests: Autonomous robotics, human-robot interaction, agricultural automation, and control systems. His work emphasizes practical applications, such as the Tech United RoboCup team (world champion in multiple years) and large-scale robotics competitions. Projects: Key initiatives include the Tech United RoboCup team, the AI-matters manufacturing network, and the Frontiers in Autonomous Systems Technology (FAST) project. He has organized major robotics events like the 2013 and 2024 RoboCup World Championships in Eindhoven. Labs/Teams: Founder and leader of Tech United, a robotics team renowned for its achievements in robotic soccer and service robotics. Active in TU/e's Robotics research group and collaborations with industry partners.

• Autonomous Robotics
• Robotics Control Systems
• Human-Robot Interaction
• +۳ مورد دیگر

Mykola Pechenizkiy is a Full Professor at the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), holding the Data Mining Chair. He also serves as an Adjunct Professor in Data Mining for Industrial Applications at the University of Jyväskylä. His research focuses on predictive analytics, data mining, and responsible AI, addressing real-world challenges in industry, healthcare, and education. He leads the Customer Journey research program at the Data Science Center Eindhoven, emphasizing ethical and transparent analytics. Academically, he holds a PhD from the University of Jyväskylä (2005) and has held visiting researcher positions at institutions like Columbia University and NYU. He has co-authored over 300 peer-reviewed publications and serves on editorial boards and committees for leading conferences (e.g., AAAI, IJCAI). He is the President of the International Educational Data Mining Society (IEDMS). His research interests include concept drift adaptation, sparsity techniques in neural networks, and fairness-aware AI. He has led projects such as the TKI PPS KPN Smart Two initiative and collaborates with industries like ASML, Philips, and Rabobank. His work contributes to UN SDGs, particularly in sustainable development through AI-driven solutions. Awards: Best Demo Paper Award (IEEE ICDE 2023), Best Paper Awards (ALA 2022, LoG 2022), and SensorKDD 2009 recognition. Grants/Projects: Active projects include TKI PPS KPN Smart Two (2019–2025) and Smart One W&I TKI KPN Flagship (2018–2022). Labs/Teams: Affiliated with EAISI Health, SIKS Scientific Board, and the University of Waikato’s AI Institute.

• Data Science
• Machine Learning
• Predictive Analytics
• +۵ مورد دیگر

Nazli Cila is a researcher at the Faculty of Industrial Design Engineering (IDE) at Delft University of Technology, specializing in Human-Centered Design and Human-Technology Relations. Her work lies at the intersection of design, artificial intelligence, and robotics, with a strong emphasis on ethical and human-centered approaches. Her research focuses on Human-AI collaboration , Responsible AI , and More-than-human design , exploring how intelligent systems can be designed to align with human values and lived experiences. She investigates design methods for AI and robotics, particularly in contexts such as mental health, smart homes, and agricultural automation. Nazli Cila’s recent publications reveal a strong trend toward integrating ethical considerations and aesthetic experience into AI systems, especially in diagnostic tools and human-robot ecologies. Her work often employs speculative and participatory methods to uncover value conflicts and envision alternative futures for technology. Involved in research projects: AI DeMoS Lab, DCODE Network Teaches course: Research to/for/through… She actively contributes to the academic community through publications and interdisciplinary collaborations, advancing the field of human-centered design in the age of AI.

• Human-AI Collaboration
• Human-Centered AI
• Design Methods
• +۷ مورد دیگر

Aafke Fraaije is a postdoctoral researcher at the Section Ethics & Philosophy of Technology , Faculty of Technology, Policy and Management , Delft University of Technology. Her work bridges art, ethics, and technology through interdisciplinary approaches to citizen engagement and responsible innovation. Institution: Delft University of Technology School: Faculty of Technology, Policy and Management Department: Section Ethics & Philosophy of Technology Academic Rank: Research Fellow Research Interests : Ethics of human-nature-technology relationships Art-based methods for public engagement with technology Participatory futuring in smart city development Inclusive approaches to technology governance Communication frameworks in clinical and engineering contexts Critical analysis of responsible research and innovation (RRI) Recent Research Trends : Her publications focus on using artistic practices (dance, theatre) to explore ethical implications of smart city technologies, developing frameworks for responsible innovation, and analyzing communication dynamics in high-stakes environments like surgery and robotics. Key themes include citizen participation in technological development, interdisciplinary methodologies, and ethical accountability across sectors.

• Ethics of Technology
• Responsible Innovation
• Citizen Engagement
• +۳ مورد دیگر

Mannes Poel is a researcher specializing in Datamanagement & Biometrics with a focus on applied machine learning. His work spans healthcare analytics, sensor technology optimization, and meta-learning frameworks for missing data. ORCID: 0000-0002-3813-9732 Active Domains : Artificial Intelligence, Medical Predictive Modeling, Industrial Sensor Analytics Collaboration Network : Interdisciplinary work with institutions in healthcare (e.g., Diagnostics journal) and engineering (e.g., IEEE MEMS conference) Scientific Achievements : Best paper award at Intetain 2107 (2017) Research Trends : His recent publications (2024-2025) emphasize explainable AI for missing data in clinical contexts and machine learning-enhanced sensor systems for industrial fluid dynamics. These works combine traditional ML with real-time data processing and cross-domain model adaptation.

• Artificial Intelligence
• Machine Learning
• Health Informatics
• +۳ مورد دیگر

Alfons Oude Lansink is a Professor and Chairholder in Business Economics at Wageningen University, Netherlands. He holds adjunct professorships at Universitas Padjadjaran (Indonesia) and the University of Florida (USA), and serves on the Dutch Ministry of Agriculture's CDM committee and Rabobank's scientific advisory board. His academic career spans roles as director of Wageningen School of Social Sciences (WASS) and Secretary-General of the European Association of Agricultural Economists. Education: MSc and PhD in Agricultural Economics from Wageningen University Leadership: Head of Business Economics group since 2003 His research focuses on dynamic technical and economic efficiency , sustainable performance of food supply chains , and economics of plant health . Recent work examines climate adaptation strategies, circular economy applications, and cross-border agri-food innovation dynamics using advanced econometric models. Key projects include MINDSTEP (modeling farm decisions), Closing the Loop (insect-based agriculture), and Food Pro-tec-ts (transboundary food technologies). Publications address topics like: Technical efficiency in dairy and arable farming Economic impacts of climate change on agriculture Corporate social responsibility in food manufacturing Policy evaluation for biogas and organic farming He serves as: Secretary/Treasurer of agricultural economics journal foundation Advisor to Universitas Padjadjaran (Indonesia) on policy and PhD supervision Editorial board member of Agronomy Journal and European Review of Agricultural Economics

• Dynamic Technical and Economic Efficiency
• Productivity Analysis
• Sustainable Food Supply Chains
• +۷ مورد دیگر

Dr. Ilias Gerostathopoulos is an Assistant Professor at the Faculty of Science, Vrije Universiteit Amsterdam, affiliated with the Network Institute and the Department of Information Management & Software Engineering. He specializes in self-adaptive systems, cyber-physical systems, and machine learning operations (MLOps). His work focuses on software architectures for autonomous systems, decision-making under uncertainty, and experiment-driven adaptation frameworks. He teaches courses such as 'Fundamentals of Adaptive Software' and 'Information Management', emphasizing practical applications of adaptive systems and data-driven decision-making. Gerostathopoulos has been awarded the Best Presentation Award (2021) for contributions to evaluating self-adaptive systems. His research addresses challenges in industrial self-adaptation, MLOps architectures, and robotics. Key research themes include: Architecture-based self-adaptation in robotics and CPS MLOps frameworks and systematic analysis of AI systems Uncertainty management in autonomous systems Experiment-driven learning and tool development Notable contributions include the ExpEngine tool for workflow optimization and the ReBeT framework for robotic systems. His work bridges theoretical software engineering with practical industrial implementations.

• Cyber-Physical Systems
• Machine Learning
• Self-Adaptive Systems
• +۴ مورد دیگر

Khiet P. Truong is an Associate Professor affiliated with the Digital Society Institute and the Human Media Interaction group. Their research focuses on the intersection of artificial intelligence, robotics, and human-computer interaction, with particular emphasis on speech emotion recognition, conversational agents for children, and multimodal interaction analysis. Recent work includes exploring how robots can restore trust through apologies, benchmarking Dutch automatic speech recognition systems, and developing child-friendly interfaces for cultural heritage archives. Truong has also investigated physiological signals like laughter and stress markers in speech across diverse contexts. Scientific Awards : Best Functional Design Award (2019) Research Trends : Analysis of speech patterns, emotion recognition, robot-human dialogue, and multimodal behavioral cues dominate their recent publications. Key subfields include Dutch language processing, laughter classification, trust indicators in child-robot interactions, and healthcare applications of speech technology. Academic Activities : Chair of the 26th ACM International Conference on Multimodal Interaction (2024) Examiner roles for PhD defenses and research evaluations (2024–2023) Contributions to workshops on emotion representation and social signal processing

• Artificial Intelligence
• Natural Language Processing
• Human-AI Interaction
• +۴ مورد دیگر

Nathan van de Wouw is a Full Professor at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e), affiliated with ICMS, EAISI Mobility, EAISI High Tech Systems, EAISI Foundational, and EIRES. He also holds an adjunct Full Professor position at the University of Minnesota and a part-time Full Professorship at Delft University of Technology. His research focuses on dynamics and control of mechanical systems, including mechatronics, robotics, smart manufacturing, energy systems, and networked control. He has supervised over 150 students and led numerous projects funded by industry partners like ASML, Philips, and Shell. Education: M.Sc. (with Honors) in Mechanical Engineering, TU/e (1994) Ph.D. in Mechanical Engineering, TU/e (1999) Research Interests: Nonlinear systems and control Model reduction and complexity analysis Data-driven and networked control strategies Applications in high-tech systems, autonomous vehicles, and energy systems Awards: IEEE Control Systems Technology Award (2015) for variable-gain control in motion systems Grants & Projects: Lead projects on mechatronic design, lithography systems, and thermodynamic optimization Collaborations with TNO, ASML, and industrial partners Labs & Teams: Member of TU/e’s Dynamics and Control group Affiliated with EAISI (Eindhoven AI Systems Institute)

• Dynamics and Control
• Mechatronics and Robotics
• Smart Manufacturing
• +۶ مورد دیگر