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Massimo Mischi is a Full Professor at the Faculty of Electrical Engineering of the Eindhoven University of Technology (TU/e) and chairs the Signal Processing Systems (SPS) Division , the largest division at TU/e with over 250 researchers. He founded the Biomedical Diagnostics (BM/d) Lab in 2012, which now includes 180 researchers and clinical/industrial advisors, focusing on biomedical signal processing for diagnostics and monitoring.
Roger J.E. Jaspers is an Associate Professor at Eindhoven University of Technology (TU/e) and a part-time Professor at Ghent University in Belgium, affiliated with the Applied Physics and Science Education school and specializing in the Science and Technology of Nuclear Fusion. His research focuses on spectroscopic diagnostics of ion processes in fusion plasmas, particularly energetic alpha particles in fusion-born reactions. Collaborations include international fusion experiments like W7-X (Germany), JET (UK), and KSTAR (South Korea). He leads the scientific R&D for the ITER CXRS instrumentation system and has authored over 90 peer-reviewed papers. His work spans topics such as: Relativistic electrons Plasma energy transport Magneto-hydrodynamics (MHD) Fusion reactor instrumentation He contributes to educational initiatives like the TU/e Fusion Master program, FUSENET, and the Erasmus Mundus Programme FUSION-DC.
استادیار
Alberto G. Curto is an Assistant Professor at Eindhoven University of Technology, specializing in nanophotonics and semiconductor optoelectronics. He leads research on light-matter interactions at the nanoscale, focusing on atomically thin semiconductors and chiral nanophotonics applications. His work spans sensing, imaging, and spectroscopy, with contributions to directional light emission and chiral detection technologies. Education BSc in Physics, Universidad de Salamanca (2002–2007) MSc and PhD in Photonics, ICFO – The Institute of Photonic Sciences (2008–2013) Postdoctoral Fellow at Stanford University (2013–2016) Research Interests Curto’s research explores semiconductor nanophotonics for sensing and imaging, leveraging atomically thin materials and chiral optics. Key areas include: Enhanced light-matter interactions using nano-optical structures Chiral detection via dielectric resonators and metasurfaces Exciton dynamics in 2D semiconductors Publications His work emphasizes practical applications of nanophotonics, with recent studies on chiral sensing enhancement, silicon metasurfaces, and exciton manipulation. Over 47 peer-reviewed articles highlight his contributions to light confinement and directional emission. Awards ERC Starting Grant (2020) NWO START-UP Grant (2018) OSA Senior Member (2021) ICFO PhD Thesis Award (2014) Grants & Projects He leads the Zwaartekracht PSN Research Centre for Integrated Nanophotonics (2014–2025), focusing on nanowires, photonic crystals, and photonics applications. Labs & Teams His research group at TU Eindhoven develops novel nanophotonic devices and chiral sensing platforms, collaborating on projects like the ERC CHANSON grant.
Guy G. Drijkoningen is an Associate Professor in Applied Geophysics at Delft University of Technology (TU Delft), Faculty of Civil Engineering and Geosciences. He is actively involved in teaching and research within the Department of Applied Geophysics & Petrophysics. Education: MSc, Delft University of Technology, The Netherlands PhD, Cambridge University, UK Research Focus: His work centers on Seismic Experiments & Modelling , particularly in exploration and shallow-subsurface contexts. Key areas include: Seismic data acquisition on land Continuous seismic monitoring Shallow shear-wave imaging (land and marine) Seismic wave propagation in porous media Current projects leverage advanced sensor networks (e.g., LOFAR), full-waveform inversion for tunnel-boring machines, and novel vibrator technologies. Publications Trend: Recent works (2011–2016) emphasize seismic modeling, inversion techniques, and experimental validation across marine and terrestrial environments. Topics span poroelastic wave theory, ambient-noise interferometry, and innovative seismic source design, reflecting a blend of theoretical and applied geophysics. Scientific Awards: Best-paper award Geophysics 2015 for "A seismic vertical vibrator driven by linear synchronous motors" Professional Memberships & Editorial Roles: Member: Society of Exploration Geophysicists (SEG) Member: European Association of Geoscientists and Engineers (EAGE) Associate Editor: Geophysics Teaching: He teaches undergraduate and graduate courses including Introduction to Geophysics, Reflection Seismology, and specialized PhD-level modules on seismic data analysis.
استادیار
Julie Legrand is an Assistant Professor in the Mechanical Engineering department at Eindhoven University of Technology , affiliated with the Group Van de Molengraft. Her work focuses on soft robotics , self-healing materials , and medical robotics applications . She designs actuators and sensors for adaptive robotic systems, emphasizing resilience through self-healing mechanisms and embodied intelligence. She teaches courses including Control of a Flexible Robot System , Haptics and Soft Robotics , and Robot-Arm , reflecting her expertise in both theoretical and applied robotics. Her research spans actuator design , material science integration , and minimally invasive surgical robotics , with notable contributions to self-healing actuator validation and continuum robot end-effectors for surgical applications. Legrand collaborates internationally on topics like shape memory alloys and anisotropic materials , and her work has been featured in media for breakthroughs in self-healing polymer limitations in soft robots. She actively contributes to the Medical Robotics research theme at TU/e, advancing interdisciplinary approaches to robotic systems in healthcare.
George Vosselman is a Full Professor at the University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), specializing in Geo-Information Extraction with Sensor Systems. Educated with honours at Delft University of Technology (1986) and PhD in Photogrammetry from Rheinische Friedrich Wilhelms University of Bonn (1991), he has held academic roles at the University of Stuttgart, University of Washington, and Delft University of Technology (1993–2004). Since 2004, he has been a key figure at ITC, serving as department head (2012–2018, 2023–). Education: Delft University of Technology (BSc with honours, 1986), Rheinische Friedrich Wilhelms University of Bonn (PhD with honours, 1991) His research focuses on leveraging sensor technology advancements for large-scale geo-information production. Key expertise includes quality analysis of laser altimetry data, point cloud segmentation/classification, 3D building/road modeling, and model-driven imagery analysis. He has published over 220 papers and co-edited the textbook Airborne and Terrestrial Laser Scanning (2010). Recent work integrates deep learning with geospatial data, addressing semantic segmentation, visual question answering, and drone-based mapping. Recent publications (2025–2023) highlight trends in deep learning for remote sensing , including multimodal question answering benchmarks (HRVQA), vectorized building extraction (RoIPoly), latent diffusion for road modeling (LDPoly), and drone obstacle avoidance systems. His work bridges photogrammetry , computer vision , and robotic mapping , with applications in urban planning, disaster management, and informal settlement monitoring. Scientific Awards : Hansa Luftbild (1993), ISPRS Otto von Gruber (2000), Schwidefsky Medal (2012), Karl Kraus Medal (2012), ASPRS Fairchild Award (2015), ISPRS Fellow (2020) As an educator, Vosselman has taught photogrammetry, remote sensing, and laser scanning at Delft University of Technology and globally. He chaired the ITC Examination Board (2015–2023) and modernized geo-information education in Asia/Africa. His software for point cloud processing is commercialized in Europe, and he currently leads ISPRS working groups on point cloud methodologies. Labs/teams include the Earth Observation Science Chair Group at ITC, collaborating on UAV-based datasets (UAVid, UAVPal) and indoor laser scanning systems. Recent activities (2025) involve invited talks on pulse matching limitations in laser scanning and deep learning for point cloud classification.
Michael Levin is a Distinguished Professor at Tufts University in the Department of Biology within the School of Arts and Sciences. He serves as Director of both the Allen Discovery Center at Tufts University and the Tufts Center for Regenerative and Developmental Biology. His laboratory investigates the intersection of developmental biology, artificial life, bioengineering, synthetic morphology, and cognitive science. Allen Discovery Center at Tufts Tufts Center for Regenerative and Developmental Biology Tufts/UVM: ICDO Harvard Wyss Institute Stibel Dennett Consortium for Brain and Cognitive Science The Proteus Institute MIT Science and Technology Center EBICS Levin's research focuses on understanding diverse intelligence in evolved, designed, and hybrid complex systems. His lab combines developmental biophysics, computer science, and behavioral science to study how cognition scales up from cellular competencies to organism-level behaviors. A key specialty is developmental bioelectricity—the study of how somatic electrical networks store, process, and act on information to control large-scale body structure. His team creates tools to read and edit the bioelectric code guiding proto-cognitive computations in the body. Levin's publications reveal a strong focus on bioelectricity, morphogenesis, and non-neural cognition across multiple model systems including Xenopus, planarians, and synthetic living constructs. His recent work explores collective intelligence as a unifying concept across biological scales, the development of microfluidic devices for measuring electrical connectivity, and optical estimation of bioelectric patterns in living embryos. His research spans fundamental developmental mechanisms to potential biomedical applications in regeneration and disease treatment. As an editor, Levin serves as Co-Editor-in-Chief of Bioelectricity and Founding Associate Editor of Collective Intelligence. He has mentored numerous post-doctoral fellows and graduate students who have gone on to establish their own research programs. His lab has received significant attention for creating novel biological machines (xenobots) and demonstrating that cells can store and transmit behavioral memory outside the brain. The Levin Lab maintains several significant research initiatives including the Allen Discovery Center at Tufts, the Tufts Center for Regenerative and Developmental Biology, and collaborations with the Wyss Institute at Harvard. The lab employs a multidisciplinary approach combining wet lab experiments with computational modeling to investigate how living systems achieve goal-directed behavior and pattern formation.
Peter Zijlstra is a Full Professor in the Department of Applied Physics at Eindhoven University of Technology (TU/e), leading the Molecular Plasmonics group. His research focuses on single-molecule sensing using plasmonic and nanophotonic approaches to study biomolecular interactions in complex environments. He is a core member of the Institute for Complex Molecular Systems at TU/e, collaborating across disciplines like chemistry, biomedical engineering, and mathematics. Education: MSc in Applied Physics, University of Twente (2005) PhD from Swinburne University of Technology (2009), studying plasmonic nanoparticles in optical data storage Postdoctoral fellowship at Leiden University under Prof. Michel Orrit Research Interests: Developing novel sensing concepts via nanophotonics and super-resolution microscopy. Key areas include plasmon-enhanced fluorescence, real-time biomolecular dynamics, and applications in cancer management. His work contributes to UN Sustainable Development Goals through advancements in biosensing technologies. Awards: 2013 NWO Vidi Award for research on plasmonic imaging of enzymes in living cells Teaching & Activities: Teaches courses like Advanced Optical Microscopy and Electromagnetism Supervised 32 academic works Contributed to conferences and editorial roles for journals like npj Biosensing Labs & Collaborations: Molecular Plasmonics group website: www.molecular-plasmonics.nl Marie Curie ITN SuperCol project: www.supercol.eu
Marc C.W. Geilen is an Associate Professor at the Electronic Systems group , Eindhoven University of Technology. He leads the Model-Based Design Lab and contributes to the CompSOC Lab and High Tech Systems Center . His work focuses on model-based design methods, design automation, and optimization for real-time and embedded systems. Research Keywords: Cyber-Physical Systems, Real-Time Systems, Embedded Systems, Performance Analysis, Design Automation Key Collaborations: EU ECSEL TRANSACT project, SAM-FMS project, Arrowhead Tools initiative His recent publications address weakly-hard timing constraints in server-based systems, hybrid performance modeling for cyber-physical systems, and neural network optimization for communication. Article trends span Real-Time Scheduling , Trustworthy Modeling , Neural Network Efficiency , and Resource Allocation in distributed environments. Scientific Awards : Partial-Order Reduction for Performance Analysis (2018) Teaching activities include courses in Computational Modeling , Embedded Signal Processing , and Discrete Mathematics . He collaborates across projects like TRANSACT, SAM-FMS, and Arrowhead Tools, focusing on flexible manufacturing and cloud-to-edge transitions.
Ard Nieuwenhuizen is a Researcher at Wageningen University & Research in the Agro Field Technology Innovations department. His expertise spans Agricultural Engineering , Robotics , and Machine Learning , focusing on AI-driven solutions for crop management and harvesting automation. Agro Field Technology Innovations, Wageningen University & Research Research Interests Robotics and intelligent systems for agricultural operations Digital twin technology and precision agriculture Computer vision for weed and crop detection Human-robot collaboration in farming Machine learning for agricultural automation Publication Trends : His recent work emphasizes agricultural robotics , digital twins , and AI-driven crop monitoring , with applications in apple/pear harvesting, soybean weed detection, and spray optimization. Articles highlight collaborations with European institutions and contributions to journals like Smart Agricultural Technology . Projects : He leads initiatives such as Smart Autonomy for Precision Agriculture (SMP25029) and Redesigning future food production systems through AI and robotics (KB-53-000-010), focusing on integrating robotics and data science into sustainable farming practices.
Christian A. Nijhuis is a Full Professor at the University of Twente's MESA+ Institute for Nanotechnology, within the Faculty of Science and Technology. His research focuses on hybrid materials for opto-electronics, molecular electronics, and nanotechnology, with emphasis on self-assembled monolayers, molecular tunnel junctions, and plasmonic devices. He leads the Hybrid Materials for Opto-Electronics group, driving innovations in molecular-scale devices and electronic hardware. His work integrates chemistry, physics, and engineering to develop advanced materials and nanoscale systems. Notable contributions include molecular-scale reconfigurable electronics, plasmonic energy harvesting, and biomimetic sensors. Recent projects explore proton-coupled electron transport, self-assembled monolayer stability, and plasmonic waveguide engineering. Research trends in his publications highlight molecular-level control over charge transport, plasmonic phenomena, and integration of organic-inorganic systems. He actively collaborates internationally, advancing optoelectronic devices and sensor technologies. His group's work addresses challenges in energy-efficient computing and sustainable materials. He has delivered invited talks on 'Intelligent molecular materials' and 'Biomolecular interactions', showcasing interdisciplinary research impact. His lab develops cutting-edge tools for in-operando characterization of molecular junctions and nanoscale systems.
Johan Pieter Maria Hoefnagels is Associate Professor of Micromechanics of Materials at Eindhoven University of Technology (TU/e), Department of Mechanical Engineering, where he leads the independent Hoefnagels group and the strategic Multi-Scale Laboratory dedicated to integrated micro-mechanical testing. Education: MSc (2000) and PhD (2005) in Applied Physics, Eindhoven University of Technology – thesis on “A novel diagnostic approach for studying silicon thin film growth” . International research visits to IMEC (Belgium), SUNY Albany (USA), NIST (USA), Harvard University (USA), Colorado School of Mines (USA), and KAUST. Research Focus: His group integrates advanced micro-mechanical testing, high-resolution microscopy (SEM, EBSD, AFM, µCT, DIC) and numerical modelling to understand and control micro-scale damage and failure mechanisms in pursuit of durable, sustainable materials. Ductile damage and fracture in metals Interface delamination and adhesion in stretchable electronics Size effects in miniaturised components and thin films Crystal plasticity and martensite/ferrite interface mechanics Hybrid and multi-phase material systems Research Output & Trends: Since 2019 his work has concentrated on multi-scale experimental–numerical studies of advanced steels (martensite/ferrite interfaces, dual-phase steels), additive manufacturing (wire-arc 316L), stretchable electronics (Cu/rubber delamination), and cellulose fibre networks. Recent articles reveal a strong emphasis on high-resolution digital image correlation, automated slip-system identification, and coupled hygro-thermo-mechanical testing. Scientific Awards & Recognition: NWO VIDI (2012), VENI (2008), RUBICON (2005) personal grants – totalling ~€10 M Editor-in-Chief, Strain – An International Journal for Experimental Mechanics (IF 2.2) Dutch representative, European Structural Integrity Society (ESIS) >150 invited/keynote conference presentations; organiser of 20+ international symposia Acta Materialia & Scripta Materialia 2019 Excellence in Reviewing award; Top Reviewer 2011, Engineering Fracture Mechanics PhD Advising & Grants: Principal supervisor of 27 PhD students and 18 post-docs/EngDs; co-author of 24 granted research proposals and 8 equipment investment proposals. The Multi-Scale Laboratory hosts state-of-the-art micro-mechanical testers and microscopes, serving departments across TU/e.
استادیار
Gwenn Englebienne is an Assistant Professor at the Digital Society Institute and Human Media Interaction group of Utrecht University. Their research focuses on Artificial Intelligence, Computer Vision, and Human-AI Interaction, with applications in robotics, health, and social computing. They have contributed to over 80 research outputs since 2007, emphasizing embodied AI, social robotics, and explainable machine learning. Research interests span activity recognition, teleoperation systems, and ethical AI design. Notable work includes developing GNN-based group detection algorithms and evaluating chatbot reliability through automated question-answering frameworks. Their studies often bridge technical innovation with human-centered design, such as measuring embodiment via pupil dilation or addressing asymmetry in video-conferencing interactions. Key collaborations include work on social robotics, telepresence systems, and health monitoring using ambient sensors. Publications span conferences like IDA, CogMI, and LREC-COLING, reflecting interdisciplinary impact. A dataset on robot social positioning behavior is publicly accessible via 4TU.Centre for Research Data. Current work explores semi-supervised domain adaptation, spiking neural networks, and the psychological dimensions of AI trustworthiness. They lead initiatives in the Digital Society Institute to align technological advancements with societal needs.
Gerard de Haan is a Professor of Electronic Systems at the Department of Electrical Engineering , Eindhoven University of Technology (TU/e). His research focuses on video signal processing, particularly in multimedia systems and video health monitoring , aiming to enhance image quality and enable accurate sensing of vital signals amidst motion artifacts. He has documented his research in 4 books, 3 book chapters, approximately 200 papers, and over 200 patent applications, leading to commercially available ICs. De Haan has served on program committees of international conferences and as a guest editor for journals including Elsevier, IEEE, and Springer. Education : BSc, MSc, PhD in Electrical Engineering from Delft University of Technology (1977, 1979, 1992) Professional Roles : Lead researcher at Philips Research (1979–present), Full Professor at TU/e (2000–present) His research interests span noise and artifact reduction , video format conversion , display-specific processing , and enabling technologies like motion estimation and object detection . Articles highlight advancements in rPPG motion robustness , blood volume pulse signature analysis , and remote SpO2 monitoring . Scientific awards include his appointment as Fellow at Philips Research Eindhoven in 2000.
Albert Theuwissen is a Professor in the Faculty of Electrical Engineering, Mathematics and Computer Science, specializing in the Electronic Instrumentation department. His career spans decades of pioneering work in image sensor technology, with over 120 research publications and 27 recorded academic activities including keynote speeches at major international conferences. His research dominates Image Sensor Engineering, focusing on CMOS Image Sensors, Sensor Design, Analog-to-Digital Converters, and Thermal Sensors. He has developed breakthrough techniques for dark current compensation using in-pixel temperature sensors, linearity enhancement in column-parallel SAR ADCs, and global shutter characterization. His work bridges semiconductor physics and circuit design to solve critical challenges in high-speed imaging, dynamic range limitations, and thermal management. Analysis of his 2022-2024 publications reveals a concentrated effort on practical circuit innovations for CMOS image sensors, particularly calibration methods for column-parallel ADCs and thermal compensation systems. These contributions address fundamental bottlenecks in sensor performance, reflecting a strategic shift toward system-level optimization of imaging pipelines for scientific and industrial applications. No specific scientific awards were documented in the source material, though his status as a frequent invited speaker and editorial contributor indicates significant peer recognition within the sensor community. Professor Theuwissen has supervised 11 graduate students according to institutional records. His sustained research output and conference engagements suggest consistent grant funding, though specific awards aren't detailed in the available information. He operates within the Electronic Instrumentation research group, which provides the collaborative framework for his sensor development work. This group specializes in measurement systems and electronic instrumentation, directly enabling his innovations in image sensor architecture and performance characterization.
