جست‌وجوی استاد و پژوهشگر

Eduardo Mendesمشاهده پروفایل

دانشیار

• Soft Matter
• Gels
• Polymers
• +۱۲ مورد دیگر

Eduardo Mendes is an Associate Professor in the Department of Chemical Engineering at Delft University of Technology (TU Delft), Faculty of Applied Sciences. He leads the Advanced Soft Matter (ASM) research group and has been at TU Delft since 2003. He also served as a visiting professor at Cornell University in 2014. His academic background is in physics, with a PhD on polymer gels from France and a "Habilitation à diriger des recherches" (hab.). Eduardo Mendes' research focuses on "Functional Soft Matter," primarily working with gels and self-assembled molecules. He employs microfabrication, microfluidics, and 3D printing to develop responsive and functional soft materials. His work spans applications from magneto- and light-responsive surfaces to drug nanocarriers, tissue engineering, and lab-on-a-chip virus detection. He actively collaborates with chemists and biologists on interdisciplinary projects. His recent publications show a strong trend in supramolecular chemistry, stimuli-responsive hydrogels, and biomimetic materials, with work published in high-impact journals like Nature, Nature Chemistry, and Angewandte Chemie. Key themes include transient networks, self-assembly control, and the development of advanced soft devices. Henk Dekker Prize 2021 for Art-Embedded Learning Eduardo Mendes is deeply committed to education. He is the Director of the "Awareness & Culture" Specialisation within the BSc TU Delft Interfaculty Honours Program, a program based on his concept of "Art Embedded Learning in Higher Education." He teaches courses such as Polymer Science, Molecular Thermodynamics, and innovative art-ethics courses like "Art, Empathy & Ethics" and "Matter of Art" in collaboration with the Royal Academy of Art. He also gives a yearly lecture on Polymer Gels at the Dutch National Graduate School PTN/RPK. His lab, the Advanced Soft Matter group, is based in Building 58, D2.320, Van der Maasweg 9, Delft.

Volker Nannenمشاهده پروفایل

مدرس

• Artificial Intelligence
• Robotics
• Agent-Based Simulations
• +۴ مورد دیگر

Volker Nannen is a Lecturer in Artificial Intelligence, Linear Algebra, and Advanced Programming at University College Groningen, part of the University of Groningen. He holds a PhD from Vrije Universiteit Amsterdam (2009) and has extensive experience in academic and industrial roles. His research focuses on robotics, agent-based simulations, and traction systems for extreme environments. He has contributed to projects such as soil-friendly agricultural robotics, lunar landing pad construction, and climate change policy analysis. Education: PhD in Computer Science from Vrije Universiteit Amsterdam (2009). Research interests include autonomous systems, evolutionary algorithms, and sustainable technologies. His work spans robotics for agriculture and space exploration, with a focus on minimizing environmental impact. Notable awards include the Best Paper Award at the 2006 Genetic and Evolutionary Computation Conference. He has advised on AI curricula, served as a scientific expert for German government grants, and collaborated with institutions like NASA and the German Federal Ministry of Transport. Labs/Teams: Involved in projects through Applied Biosignals GmbH (neonatal care) and sedewa.com (soil management robotics).

Ben Feringaمشاهده پروفایل

استاد

• Organic Chemistry
• Nanotechnology
• Catalysis
• +۳ مورد دیگر

Prof. Ben Feringa , Nobel Laureate in Chemistry (2016), is a Professor of Organic Chemistry at the University of Groningen , leading groundbreaking research at the Stratingh Institute for Chemistry . As a pioneer in molecular machines , he is celebrated for inventing the first light-driven molecular motor (1999) and advancing nanotechnology with applications in drug delivery, biomedical systems, and sustainable chemistry. Born: 1951 (Barger-Compascuum, Netherlands) PhD: University of Groningen (1978) Awards: Nobel Prize (2016), Spinoza Prize (2004), Cope Scholar Award (2014), Solvay Prize (2015) His research spans organic synthesis , supramolecular chemistry , and light-driven molecular systems , with recent work focusing on bio-integrated motors , visible/near-infrared activation , and green chemistry . Publications highlight 100+ PhD students mentored and collaborations across 18 countries. Key article trends include photoclick reactions , redox-switchable systems , and multi-state molecular motors , reflecting his emphasis on controllable nanoscale dynamics . Awards underscore his global impact, from the Spinoza Prize to the Tetrahedron Prize . Media coverage (e.g., The New York Times , BBC ) highlights his role in transforming science fiction concepts into real-world nanomachines with potential in medicine and energy.

Siddhartha Bhattacharyyaمشاهده پروفایل

استاد

• hybrid intelligence
• pattern recognition
• multimedia data processing
• +۱۰ مورد دیگر

Dr. Siddhartha Bhattacharyya is a Professor in the Department of Computer Science and Engineering at Christ University, Bangalore, with expertise spanning hybrid intelligence, quantum computing, and multimedia data processing. He has authored/edited 65 books and published over 300 research articles, focusing on interdisciplinary applications of machine learning and computational methods. Editorial Board Member, PeerJ Computer Science Holder of two PCT patents Active in academic leadership (organizing conference committees) His research integrates Artificial Intelligence , Computer Vision , and Quantum Computing to solve complex problems in education, healthcare, and environmental monitoring. Recent work includes multimodal student learning assessment, gas plume detection, and Metaverse applications. He leads an active academic lab focused on hybrid intelligence systems and their practical implementations. Key trends in his publications include: deep learning architectures for computer vision (YOLOv7, CNN-Transformer), quantum-inspired algorithms for graph coloring and bioinformatics, and educational technology innovations for remote learning environments. His work bridges theoretical advancements with real-world applications across diverse domains.

• Soft Robotics
• Mechanics
• Dynamics
• +۴ مورد دیگر

Bas Overvelde is an Associate Professor at Eindhoven University of Technology and the Principal Investigator of the Soft Robotic Matter Group at AMOLF, an academic research institute in Amsterdam. He works one day per week at TU/e as part of the Dynamics and Control Department and the Institute for Complex Molecular Systems. His research bridges fundamental mechanics and dynamics with applications in soft robotics and metamaterials. Overvelde's research interests focus on embodying autonomous behavior in soft materials through nonlinear phenomena. His group explores systems like soft robotic hearts, self-sensing grippers for delicate handling, and adaptive architectural facades. This work leverages dynamic interactions and environmental feedback, offering alternatives to centralized AI systems. His educational background includes a BSc and MSc in Mechanical Engineering (cum laude) from Delft University of Technology and a PhD in Applied Mathematics from Harvard University, where he studied compliance and instabilities in engineered materials under Katia Bertoldi. Overvelde's team includes PhD students Alberto Comoretto, Paul Ducarme, Bob Huisman, Elif Kurt, Sergio Picella, Nienke Reitsma, Katrien van Riet, Mannus Schomaker, Maziar Arfaee (Guest), and Lio Huntjens (Visiting). His collaborations span academic and industrial partners in nanolithography and advanced materials.

• Chemistry
• Colloid Synthesis
• Colloids
• +۸ مورد دیگر

Dr. Bas van Ravensteijn is an Assistant Professor in the Department of Pharmaceutics at Utrecht University's Faculty of Science. His research bridges polymer and physical chemistry with pharmaceutical sciences to develop advanced nano-pharmaceutics. He has established himself as a leading researcher in colloidal synthesis, self-assembly, and nanomedicine development. Van Ravensteijn earned his Chemical Engineering degree with a Master in Organic and Polymer Chemistry from Eindhoven University of Technology (2006-2011). He completed his Ph.D. at Utrecht University (2011-2015) under Prof. Willem Kegel, focusing on colloidal particle synthesis and self-assembly. His postdoctoral work included research at UC Santa Barbara with Profs. Craig Hawker and Matthew Helgeson, followed by positions at TNO and TU/e with a Marie Sklodowska-Curie fellowship. His research interests span colloid science, polymer chemistry, and pharmaceutical applications. He specializes in designing nano-pharmaceuticals through controlled colloidal synthesis, with particular expertise in bio- and geopolymers, nanoparticle self-assembly, and stimuli-responsive materials. His work has significant implications for drug delivery systems, tissue engineering, and thermochemical energy storage. Analysis of his recent publications reveals a strong focus on hydrogel technologies for biomedical applications, with increasing emphasis on 3D/4D printing, tissue engineering scaffolds, and responsive biomaterials. His earlier work featured prominently in colloid science, particularly in patchy particles, colloidal self-assembly, and polymer architecture effects. Van Ravensteijn has built a robust research program at Utrecht University since joining in 2021, with extensive collaborations across materials science and pharmaceutical disciplines. His laboratory focuses on translating fundamental colloidal chemistry into practical pharmaceutical applications, particularly in nanomedicine development. His research group actively explores multiple fronts including drug delivery systems, tissue engineering hydrogels, and energy storage materials. Current projects emphasize the development of thermoshrinkable hydrogels, electrostatically templated polymerization techniques, and polymeric stabilization of salt hydrates for energy applications.

• Haptics
• Human Perception
• Tele-operation Systems
• +۳ مورد دیگر

Irene Kuling is an Assistant Professor in Haptics and Soft Robotics at Eindhoven University of Technology (TU/e), affiliated with the Robotics department under the Mechanical Engineering school. Her research focuses on haptic feedback systems, soft robotics, and human-robot interaction. PhD from Vrije Universiteit Amsterdam (2016) NWO Rubicon Grant recipient (2016-2019) Postdoc at Université Catholique de Louvain (2019) Assistant Professor at TU/e since 2020 Her work bridges mechanical engineering and human perception through soft robotic actuators like Pneumatic Unit Cells (PUCs), with applications in: Virtual Reality haptic interfaces Teleoperation system design Extensible actuator kinematics Human-in-the-loop engineering frameworks Recent publications demonstrate expertise in: Soft silicone fabrication techniques Dynamic characterization of PUC actuators Kinematic modeling for trajectory tracking Comparative analysis of haptic feedback modalities She has received the NWO Rubicon Grant for postdoctoral research and teaches courses on: Haptics - perception and technology Human-in-the-loop engineering Mechanical engineering fundamentals

• Edge Fog and Cloud Computing
• Computational Offloading
• Network Resource Allocation
• +۹ مورد دیگر

Dr. Marios Avgeris is an Assistant Professor at the Informatics Institute, University of Amsterdam, affiliated with the Multiscale Networked Systems (MNS) group. His research focuses on next-generation network orchestration using machine learning and control theory to develop self-adaptive architectures for 5G/6G networks, edge robotics, and IoT systems. He collaborates with industry partners including Ericsson and holds a PhD from the National Technical University of Athens. Education: PhD in Electrical and Computer Engineering, National Technical University of Athens (2021) Diploma in Electrical and Computer Engineering, National Technical University of Athens (2016) Research Interests: Marios develops intelligent frameworks for network optimization, leveraging reinforcement learning and control theory. His work enables semantic communication, digital twinning, and zero-touch service management in edge-cloud environments. Key innovations include adaptive resource allocation, NFV placement, and energy-aware task offloading for distributed systems. Publications Focus: Recent works emphasize AI-driven network management, with articles on federated learning for edge computing, satellite network optimization, and green communications. His publications consistently integrate theoretical rigor with practical applications in telecommunications infrastructure. Awards: CU-PSAC Postdoctoral Fellow Research Award Affiliations: Leads research in the MNS Lab. Previously worked at NETMODE Lab (NTUA), Carleton University, École de Technologie Supérieure (ÉTS), and Ericsson Canada.

Eva Bertosinمشاهده پروفایل

استادیار

• DNA Origami
• Biomimetic Systems
• Protein Folding
• +۵ مورد دیگر

Dr. Eva Bertosin is an Assistant Professor at Utrecht University, leading her lab in the Bijvoet Centre for Biomolecular Research under the Membrane Biochemistry & Biophysics section. Her research focuses on re-engineering natural protein systems using DNA origami to create synthetic nanostructures that mimic biological functions such as protein folding and membrane manipulation. Academic Rank: Assistant Professor University: Utrecht University School: Bijvoet Centre for Biomolecular Research Department: Membrane Biochemistry & Biophysics Eva’s work leverages DNA origami, single-molecule biophysics, transmission electron microscopy, fluorescence microscopy, cryo-electron microscopy, and flow-induced dispersion analysis. Her research aims to decode allosteric coupling and structural transitions in biomimetic systems for novel functional applications. Recent trends in her publications highlight advancements in DNA origami for nuclear pore complex studies, synthetic life engineering, and nanoscale rotary mechanisms. These works emphasize interdisciplinary approaches bridging structural biology, biophysics, and nanotechnology. Scientific Awards: Veni Grant (NWO) Starting May 2025, the Bertosin Lab will focus on developing user-defined biomimetic systems. She is actively recruiting researchers in (bio)chemistry and biophysics to join her team via direct contact or external funding programs.

Ondrej Rokosمشاهده پروفایل

استادیار

• Mathematical Modelling
• Homogenization
• Computational Mechanics
• +۷ مورد دیگر

Ondrej Rokos is an Assistant Professor in the Mechanics of Materials section at Eindhoven University of Technology (TU/e), Department of Mechanical Engineering. He is actively involved in research and teaching related to multiscale materials modeling, with a focus on computational mechanics, metamaterials, and homogenization techniques. He leads Group Rokos and is affiliated with the Institute for Complex Molecular Systems (ICMS). PhD in Civil Engineering (2014) from Czech Technical University in Prague Postdoctoral positions at CTU Prague and TU/e Visiting researcher at TU/e (2015) and University of Luxembourg (2016) His research centers on understanding multiscale physical phenomena in materials engineering to enable optimal material design. Key areas include: Homogenization and quasicontinuum methods for discrete microstructures Machine learning integration in surrogate modeling Stochastic structural dynamics and experimental-computational frameworks Mechanical metamaterials with pattern transformation capabilities Recent publications emphasize the application of machine learning (e.g., symmetric positive definite convolutional networks) and advanced homogenization techniques (e.g., similarity-equivariant graph neural networks) to optimize metamaterials. Notable trends include: Development of data-driven models for modular structures Geometrical parameterization of elastomeric metamaterials Active stiffness control in pneumatic systems Extended quasicontinuum methodologies for heterogeneous systems He teaches courses in: Computer Aided Engineering Solid Mechanics Machine Learning for Multi-Physics Modeling and Design Research is conducted within the Mechanics of Materials group, with affiliations to ICMS and collaborations across institutions.

• Service Marketing
• Service Robotics
• Human-AI Interaction
• +۵ مورد دیگر

Jeroen J.L. Schepers is an Associate Professor at Eindhoven University of Technology, affiliated with the Department of Industrial Engineering and Innovation Sciences and the Innovation Technology Entrepreneurship & Marketing group. He also holds a position within the EAISI Foundational research institute. His current educational activities include teaching courses on Marketing Perspectives on Product Innovation, Servitization and Customer Experience, and Multivariate Statistics. Dr. Schepers specializes in the digitalization and robotization of frontline services, with particular focus on the psychological responses of both customers and employees to service technologies. His research examines how AI and robotics transform service encounters, exploring questions about customer adoption of service innovations, the impact of technology on service value, and the optimal collaboration between humans and technology in service delivery. His work spans service marketing, human-robot interaction, consumer psychology, and digital service transformation, with particular emphasis on service robotics, customer experience design, and the psychological mechanisms underlying technology adoption in service contexts. His recent publications reveal a strong focus on human-AI collaboration in service contexts, with recurring themes around service robot design, customer perception of technology, and the psychological mechanisms that determine service success or failure. His research demonstrates how service robots impact customer experience, how frontline employees interact with AI systems, and how service encounters can be optimized through intelligent technology integration. The work spans both theoretical development and practical applications across various service industries. Dr. Schepers has received numerous prestigious awards including the Robert Johnston Outstanding Reviewer Award (2024), multiple highly cited papers in the top 1% of Economics & Business, the Insights Scientist of the Year award (2023), and several Industria Education Awards. His research has been recognized with Best Paper Awards from leading service marketing journals and conferences. HybridLabs - €10.4M grant accelerating Dutch innovations in offshore renewables D-SIDE: Decision Support for Intelligent Damage Estimation and Control (€1.1M) 3TU.CEE research project Grant from DAAD for visiting scholarship at University of Mannheim Dr. Schepers leads research within the Innovation Technology Entrepreneurship & Marketing group, focusing on how digital technologies transform service encounters and employee-customer interactions. His work examines both customer-facing service technologies and employee-facing intelligent systems, investigating how these technologies reshape service delivery, customer experience, and employee work practices in the digital age.

Ömür Arslanمشاهده پروفایل

استادیار

• Robotics
• Motion Planning
• Control Theory
• +۵ مورد دیگر

Ömür Arslan is an assistant professor in the Department of Mechanical Engineering at the Eindhoven University of Technology (TU/e) , affiliated with the Robotics Group and the EAISI Mobility and EAISI High Tech Systems institutes. His research focuses on the algorithmic foundations of robotics, particularly safe adaptive motion planning algorithms for robots operating around humans. Education: PhD in Electrical and Systems Engineering (2016), University of Pennsylvania MSc in Electrical Engineering (2012), University of Pennsylvania MSc in Electrical & Electronics Engineering (2009), Bilkent University BSc in Electrical & Electronics Engineering (2007), Middle East Technical University His research interests span robotics, motion planning, control theory, sensor networks, dynamical systems, optimization, machine learning , and machine perception . Recent work includes safe unicycle control, probabilistically safe corridors, and statistical coverage control of mobile sensor networks. He has received nominations for best paper awards at ICRA 2018 and WAFR 2016 . Ömür has supervised student projects such as Hancheng Min's MSc thesis on statistical coverage control and Vincent Pacelli's work on local geometry in motion planning .

Claudia Lopez Camaraمشاهده پروفایل

استادیار

• Nanomaterials synthesis
• Gas-phase reactor engineering
• Plasma and flame synthesis
• +۳ مورد دیگر

Claudia Lopez Camara is an Assistant Professor at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e) , appointed in January 2024. Previously, she held postdoctoral positions at the University of Duisburg-Essen (2021-2023) and completed her Ph.D. in Numerical Combustion at the University of California, Irvine (2020). Education : BSc in Chemical Engineering (University Rovira i Virgili, Spain), MSc in Nanotechnology and Nanoscience (University Rovira i Virgili) Her research focuses on gas-phase synthesis of nanomaterials , particularly graphene and mesoporous silica nanoparticles for sensors and energy applications . Current work explores experimental methods including flame, plasma, and hot-wall reactors for nanomaterial production. Recent publications highlight her expertise in nanoparticle morphology control and composite sensor development , with 10 Scopus-indexed works between 2015-2025. Key collaborations exist with institutions including KAUST, LLNL, and UW-Madison . Scientific Awards & Funding Undergraduate Mobility Balsells Fellowship Grant of Excellence Catalunya-La Pedrera NSF Intern Fellowship DFG research unit FOR2284 & SPP2289 International Max Planck Research School SurMat As Principal Investigator of the Group López Camara at EIRES Research , she leads projects involving scalable aerosol-based synthesis and self-folding graphene mechanisms . Her work combines numerical modeling with experimental validation to advance nanomaterials engineering.

Zerrin Yumakمشاهده پروفایل

استادیار

• Virtual Humans
• Social Robotics
• Affective Computing
• +۳ مورد دیگر

Zerrin Yumak is an Assistant Professor at the Department of Information and Computing Sciences, Faculty of Science, Utrecht University, specializing in virtual humans and social robotics. She leads Task 3.2: Embodiment and Physical Interaction in the RAGE project. Her research focuses on Social and emotional behavior analysis for virtual characters Machine learning applications in motion capture data Constrained motion graph search algorithms Lip-sync and gesture animation generation Real-time multimodal interaction systems Notable projects include the Virtual Human Controller asset for Unity 3D, integrated with BiP Media and Randstad applications. Recent work spans 2025: SemGes for semantics-aware gesture generation 2024: ProbTalk3D emotion-controllable facial animation 2023: Diffusion model-based facial animation (Facediffuser) 2020: Music-driven expressive gesture generation She contributes to workshops like GENEA (2021-2022) and MASSXR (2025), advancing non-verbal behavior modeling for embodied agents.

Andrew Nelsonمشاهده پروفایل

استادیار

• Embedded Systems
• Real-Time Control
• Multi-Sensor Fusion
• +۴ مورد دیگر

Andrew Nelson is a part-time Assistant Professor at the Electronic Systems department, College of Engineering , Eindhoven University of Technology . He also serves as a founder and R&D lead at Verintec Solutions B.V. . Research Focus : Predictable and composable embedded systems, real-time robotics, multi-sensor fusion for industrial positioning, multi-core processor optimization. Key Contributions : Development of the CompSOC platform, CompROS architecture for ROS2, and novel multi-rate control strategies. Recent Article Trends : His work emphasizes predictable execution on multi-core platforms, sensor fusion techniques (linear encoders + vision systems), and real-time robotics. Articles span 2015–2025, highlighting collaborations with institutions like TU/e and ECSEL JU grant projects IMOCO4.E (2021–2023) and COMP4DRONES (2021).