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Ashish PandharipandeView profile

Researcher

• Signal Processing
• Machine Learning
• Automotive Radar Systems
• +5 more

Ashish Pandharipande is a University Researcher at Eindhoven University of Technology (TU/e), affiliated with the Department of Electrical Engineering. His career spans academic and industrial roles, including Technical Director at NXP Semiconductors since 2021 and prior positions at Signify, Philips, and Samsung Advanced Institute of Technology. He holds a PhD in Electrical Engineering from the University of Iowa and conducted postdoctoral research at the University of Florida. Current Role: Technical Director, Innovation at NXP Semiconductors Past Academic Roles: Senior Researcher, Senior Scientist, Lead R&D Engineer His research focuses on signal processing , machine learning , and automotive radar systems , with a strong emphasis on semantic communication , LiDAR-radar fusion , and energy-efficient sensing . Recent work explores sparsity-aware algorithms, interference mitigation, and reconfigurable sensing frameworks for autonomous driving and IoT applications. The 15 most recent publications highlight advancements in automotive radar (e.g., MIMO systems, spoofing detection), semantic communication (e.g., on-demand forwarding, interference cancellation), and smart city applications (e.g., lighting control, RIS-assisted systems). Trends include integration of vision sensors for radar point cloud estimation and deep unfolding for sparse signal recovery. Ashish has supervised 7 students and has over 350 research outputs. His work contributes to UN Sustainable Development Goals in smart cities and energy efficiency .

Bige TunçerView profile

Professor

• Evidence-Based Design
• Urban Science
• Artificial Intelligence
• +8 more

Prof. Bige Tunçer is a Full Professor and Chair of Information Systems in the Built Environment at Eindhoven University of Technology (TU/e). She teaches courses such as Case study process modeling of construction projects and Collaborative design , which she has been instructing since 2015. Prior roles include Associate Professor at Singapore University of Technology and Design (SUTD), Assistant Professor at TU Delft, and junior faculty at ETH Zurich. She has also held visiting positions at ETH Zurich's Chair of Information Architecture, MIT, and the University of Pavia's Computer Engineering Department. Academic Background: She earned a PhD in Architecture (Design Informatics) from TU Delft, an MSc in Computational Design from Carnegie Mellon University, and a BArch from Middle East Technical University. Research Focus: Her work explores the interplay between urban space usage, user perception, and physical attributes. She develops AI-driven methodologies for design and decision support tools to address challenges in energy transition, urban resilience, and digital construction. Key areas include evidence-based design, big data analytics, and digital twins. Her research contributes to UN Sustainable Development Goals, particularly sustainable urban development and resilience. Grants & Awards: Prof. Tunçer leads large multi-disciplinary grants on IoT, urban science, and digital twins. She is currently involved in the EQUAL - Enhancing Equity for Active Living through Digital Tools project (2025–2026). While specific awards are not listed, her work has been recognized with international awards and exhibitions. Her 96 research outputs include influential articles, reviews, and patents, cited over 1,067 times (Scopus). Labs & Collaboration: Her research integrates multi-disciplinary teams and emphasizes data collection, visualization, and knowledge modeling. Collaborations span academic, government, and industry sectors, including roles on panels and boards. The department's work aligns with sustainable infrastructure and smart city initiatives.

Huib J. VisserView profile

Professor

• Wireless Power Transfer
• Antenna Design
• Biomedical Implants
• +2 more

Huib Visser is Professor of Wireless Data and Power Transfer at TU/e, developing technologies for medical and IoT applications. His research optimizes energy harvesting systems for implantable devices and environmental sensors. Research: Focuses on antenna-rectifier integration for efficient far-field power transfer, with clinical applications in neural implants and wearable monitors. Recent projects include radar-based vital sign detection and 3D-printed biocompatible receivers. He leads Holst Centre's wireless power program and collaborates with Erasmus MC on implant safety standards. Authored foundational texts on phased array antenna design used in engineering curricula worldwide. Holds patents for printed spiral coil designs enabling meter-range power transfer to low-energy devices.

Xaveer J.M. LeijtensView profile

Associate Professor

• Photonic Integration
• IC Design
• Measurement Automation
• +1 more

Xaveer Leijtens is an Associate Professor in Photonic Integration at Eindhoven University of Technology. His research focuses on photonic IC design, generic integration platforms, and measurement automation. He co-founded PhotonIP, pioneered the European InP platform (JePPIX.eu), and developed Nazca Photonic IC design software. With over 400 publications, his work spans InP, silicon, and hybrid platforms. Educational background includes a PhD in high-energy physics from the University of Amsterdam. Current initiatives include establishing open standards for electronic-photonic design automation (openEPDA).

Martijn J.R. HeckView profile

Professor

• Photonic Integration
• Semiconductor Lasers
• Microwave Photonics
• +2 more

Martijn J.R. Heck is Full Professor in Photonic Integration at Eindhoven University of Technology. His research focuses on photonic integrated circuits for applications in sensors, quantum technology, microwave photonics, and interconnects. He founded the Photonic Integrated Circuits group at Aarhus University. Key contributions include pioneering work on the JePPIX European photonics platform, hybrid silicon technology, and ultra-low loss waveguides. He co-leads the PICOSTAR project and contributes to the Indium-Phosphide Pilot Line initiative. Academic background includes a PhD from TU/e and postdoctoral research at UC Santa Barbara.

Sherif EissaView profile

Researcher

• Machine Learning
• Hardware Design
• Data Encoding
• +4 more

Sherif Eissa is a PhD Candidate in the Electronic Systems group at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). His research focuses on neuromorphic computing for efficient real-time AI through hardware design, under the supervision of Prof. Henk Corporaal and Prof. Sander Stuijk. He is part of the national research project efficientdeeplearning.nl . Education: Bachelor of Information Engineering (cum laude), German University in Cairo (2016), with thesis at the Institute for Microelectronics Stuttgart (IMS) and University of Stuttgart. Master of Information Technology and Embedded Systems (cum laude), University of Stuttgart (2019), with thesis at Bosch Research Campus, Renningen. Research Interests: Machine Learning, Hardware Design, Data Encoding, Parallel Data Processing, Memory Structures, and Sparsity Utilization for Low-Power Edge AI. Awards: Best Achieving Student in overall grades (Bachelor's Degree). Best Achieving Student in overall grades (Master's Degree). Advising and Projects: Supervised 3 research works. Principal project: Efficient Deep Learning Platforms (eDLP) (2018–2023), focusing on Deep Learning Method, Energy Efficiency, and Hardware Platforms. Labs and Teams: Member of the Efficient Stream Processing Lab and the Electronic Systems group at TU/e.

• Reconfigurable Architectures
• Energy Efficiency
• Electronic Systems
• +3 more

Mark Wijtvliet is a University Researcher at Eindhoven University of Technology (TU/e), specializing in the Department of Electronic Systems within the field of Electrical Engineering. His work focuses on reconfigurable architectures, energy efficiency, and their applications in electronic systems. He contributed to the BrainSense project (2018–2020), developing an autonomous EEG headset for brain-controlled applications. Education: Mark holds a Master’s degree in Electronic Systems from TU/e (2011) and completed his Ph.D. in 2020 with a thesis titled *Blocks, a reconfigurable architecture combining energy efficiency and flexibility*. His research explores energy-efficient computing and integrated circuit design. Research Interests: His work emphasizes reconfigurable architectures, energy conservation, and hardware-software co-design. Recent projects include the development of R-Blocks, a programmable coarse-grained reconfigurable architecture (CGRA), and energy-area estimation models for CGRAs. Publications: Key contributions include peer-reviewed articles on reconfigurable computing, energy-efficient design, and CGRA optimization. His work bridges theoretical computer architecture with practical applications in low-power systems. Grants/Projects: As a project member in BrainSense, he advanced brain-computer interface technologies. His research aligns with UN Sustainable Development Goals related to affordable and clean energy.

• Polymer Materials Science
• Amorphous Plasticity
• EMI Shielding Composites
• +4 more

Frederik Van Loock is an Assistant Professor in the Mechanical Engineering Department at Eindhoven University of Technology (TU/e), part of the Processing and Performance of Materials section. His research focuses on the fundamental links between material structure and properties, particularly in polymer-based materials. Key areas include recycled/bio-based polymers, amorphous plasticity modeling using shear transformation zone (STZ) theory, and 3D-printed EMI shielding composites. He holds a PhD from the University of Cambridge (2019) and has conducted postdoctoral research at UC Louvain and TU/e. Education: BSc Aerospace Engineering (TU Delft, 2012) – Highest Distinction MSc Aerospace Engineering (TU Delft, 2014) – Highest Distinction PhD in Solid-State Foaming and Adhesive Joints (University of Cambridge, 2019) Research emphasizes experimental and numerical approaches to address multi-physical problems across scales. Notable contributions include studies on nanolaminates, EMI shielding materials, and polymer deformation mechanisms. Collaborations span academia and industry, with a focus on sustainable, high-performance materials. Key awards include the Young Talent Prize (2014) from the Royal Holland Society of Sciences and Humanities. His work has been published in journals like Journal of the Mechanics and Physics of Solids and Nature Communications . Frederik supervises MSc/PhD students and leads projects on multifunctional composites and nanomechanical systems. He also teaches the Structure and Properties of Materials course at TU/e.

Christina ImdahlView profile

Assistant Professor

• Operations Management
• Supply Chain Management
• Machine Learning
• +3 more

Christina Imdahl is an Assistant Professor at Eindhoven University of Technology (TU/e), affiliated with the Operations Planning Accounting & Control (OPAC) group within the School of Industrial Engineering and Innovation Sciences. Her research focuses on decision-making in operations management, combining stochastic and robust optimization with empirical analyses. She explores the integration of human behavior and algorithms in supply chain and inventory management contexts. Christina holds a PhD from Kuehne Logistics University and a MSc in Mathematics from Georg-August University in Göttingen. Her research interests include optimizing supply chain operations, inventory control, and behavioral aspects of human-AI collaboration. Recent work emphasizes dynamic routing problems, inventory management under uncertainty, and human decision-making in forecasting systems. Christina contributes to projects like HOPE (Human-Centered Optimization for Supply Chain Excellence) and Transitioning to a Circular Business Ecosystem, focusing on improving supply chain efficiency. She teaches courses on artificial intelligence in logistics, behavioral operations, and financial management.

• Operations Research
• Deep Reinforcement Learning
• Data-Driven Decision Making
• +4 more

Peter Verleijsdonk is a Postdoctoral Research Fellow at the Mathematics and Computer Science school of Eindhoven University of Technology , specializing in Stochastic Operations Research . His work bridges theoretical and applied domains, focusing on real-time data-driven decision-making systems. Research Interests His research integrates Deep Reinforcement Learning and Stochastic Modeling to solve Real-Time Maintenance Scheduling challenges in asset networks. Key areas include Data-Driven Decision Making , Public-Private Collaborations , and Stochastic Optimization . Projects Active member of the Information Processing Technology for Personalization of Hearing Instruments project (2014–2026). Education PhD in Stochastic Operations Research (2025), Eindhoven University of Technology. MSc in Operations Research (2020), Eindhoven University of Technology. BSc in Mathematics (2017), Eindhoven University of Technology.

David Pacheco TanakaView profile

Researcher

• Membrane Technology
• Chemical Engineering
• Sustainable Energy
• +3 more

David Pacheco Tanaka is a University Researcher in the Department of Chemical Engineering and Chemistry at Eindhoven University of Technology. His work focuses on advancing membrane technologies for energy and environmental applications, particularly in hydrogen production, carbon capture, and separation processes. He collaborates extensively on projects involving membrane reactors, fluidized bed systems, and sustainable material design. Research interests include developing carbon molecular sieve membranes for CO₂/CH₄ separation, optimizing steam methane reforming processes, and enhancing membrane performance under extreme conditions (e.g., elevated temperatures/pressures). His contributions bridge experimental studies, process design, and economic feasibility analyses. Publications highlight advancements in membrane-assisted hydrogen production, CO₂ capture from biogas, and propionic acid separation. Collaborations span international teams, with notable work on Pd-Ag membranes and electroless plating techniques. No awards are explicitly listed, but his research aligns with UN Sustainable Development Goals related to affordable clean energy (SDG 7) and climate action (SDG 13). Supervised one documented work, though student names are not provided.

• Hydrogels
• Biomaterials
• Supramolecular Chemistry
• +4 more

Martin G.T.A. Rutten is a University Researcher in the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e), specializing in Biomedical Materials and Chemistry. His research focuses on developing advanced biomaterials, particularly hydrogels with tunable properties for biomedical applications. Rutten's research interests span multiple domains within biomaterials science and engineering. He specializes in hydrogel engineering , focusing on supramolecular chemistry approaches to create dynamic biomaterials with precisely controlled physical properties. His work integrates principles from polymer science, materials chemistry, and tissue engineering to develop synthetic matrices that mimic natural biological environments. Rutten investigates how molecular design influences macroscopic material properties, particularly examining hydrogen bonding interactions, self-assembly processes, and the relationship between biochemical complexity and cellular response. Analysis of Rutten's recent publication record (2018-2025) reveals a strong focus on supramolecular biomaterials, particularly hydrogels with dynamic properties. His research demonstrates an evolving trajectory from fundamental material characterization toward increasingly complex biological applications, including kidney organoid development and cardiac tissue engineering. The work consistently emphasizes the engineering of material properties at the molecular level to achieve specific biological outcomes, with growing attention to clinical translation potential.

Carola RaffelView profile

Researcher

• Chemical Engineering
• Sustainable Process Engineering
• Chemical Reactor Engineering
• +7 more

Carola Raffel is a Doctoral Candidate at the Eindhoven University of Technology , specializing in Chemical Engineering and Chemistry . Her research bridges Chemical Reactor Engineering and Sustainable Process Engineering , focusing on optimizing chemical processes involving fatty acids and nitriles. University: Eindhoven University of Technology Department: Chemical Engineering and Chemistry Research Interests include in-situ spectroscopic calibration, water activity effects in chemical synthesis, hydrogenation reactions, and reactor design for sustainable processes. Her work addresses challenges in Fluid Dynamics , Reaction Engineering , and Process Optimization , particularly in fatty acid ammoniation and nitrile production. Publication Trends show a focus on green chemistry and process intensification , with recent studies (2025) exploring real-time calibration methods and dynamic modeling for reactor systems.

Peter LipmanView profile

Researcher

• Chemical Engineering
• Reactor Engineering
• Sustainable Process Engineering
• +3 more

Peter Lipman is a Researcher at the Chemical Engineering and Chemistry department of Eindhoven University of Technology . His work focuses on Chemical Engineering , Reactor Engineering , and Mass Transfer processes. Research Interests : Chemical Reactor Engineering, Sustainable Process Engineering, Plasma Processing, Gas Adsorption/Desorption, Nanostructured Materials, and Porous Media Dynamics. Affiliation : Department of Chemical Engineering and Chemistry, Eindhoven University of Technology. His recent publications highlight advancements in Plasma Processing for Nanoparticle Synthesis , CFD-DEM Modeling of Fluidized Beds , and Diffusion-Reaction Analysis in Coarse Porous Media . Key trends include applications in Separation Processes , Transport Phenomena , and Catalytic Systems . Email : p.j.l.lipman@tue.nl

• Retail Operations
• Revenue Management
• Logistics Optimization
• +2 more

Dr. Nevin Mutlu is an Assistant Professor at Eindhoven University of Technology's School of Industrial Engineering, affiliated with the Operations Planning Accounting & Control group. She holds appointments with the Data Science Center Eindhoven and Freight Transport & Logistics Research Group. Her educational background includes a PhD and MSc in Industrial and Systems Engineering from Virginia Tech, and dual BA/BSc degrees in Economics and Industrial Engineering from University at Buffalo. Research focus areas: Pricing and revenue management in omnichannel retail Logistics optimization with behavioral considerations Demand steering mechanisms Market equilibrium in experiential retail Publication analysis shows progression from fundamental optimization methods to behavioral operations, with recent work incorporating consumer psychology into operational models. Awards include the prestigious EU Horizon 2020 Marie Curie Individual Fellowship. She currently leads the SYNERCIZE project on sustainable transport networks and serves on industry committees including the Efficient Consumer Response Community. Teaching includes Revenue Management and Pricing Analytics, Supply Chain Management, and Project Process Management courses.