جست‌وجوی استاد و پژوهشگر

Jasper de Graafمشاهده پروفایل

پژوهشگر ارشد

• Photonics
• Terahertz Technology
• Integrated Photonics
• +۴ مورد دیگر

Jasper de Graaf is a Research Fellow at the Photonic Integration group within the Electrical Engineering department of Eindhoven University of Technology (TU/e) . His research focuses on leveraging advanced photonic integrated circuit technology to develop Terahertz generation systems for applications in sensing and high-speed communications. Education: Master of Science in Electrical Engineering (with distinction, 2020), Eindhoven University of Technology; Bachelor of Science in Electrical Engineering, Eindhoven University of Technology (2015-2020) Collaborations: Aarhus University (internship), ASML (graduation project collaboration) Research Interests Terahertz generation using integrated photonics Photonic integrated circuit design and fabrication Waveguide engineering for high-speed communication Optical sensing systems and photodiode optimization Advanced cleanroom fabrication techniques Research Output Trends Key focus on Indium Phosphide membrane technology as a platform for photonic integration Applications in healthcare, industrial sensors, and high-speed communication systems Technical innovations in waveguide UTC-PDs, grating couplers, and photonic spectrometers Collaborative work with industry partners like ASML and academic institutions in Denmark

Hamed Sadeghian Marnaniمشاهده پروفایل

دانشیار

• Mechatronics Systems
• Optomechatronics
• Nanometrology
• +۳ مورد دیگر

Hamed Sadeghian Marnani is an Associate Professor and Chair of Nano-Optomechatronics Instrumentation at Eindhoven University of Technology's Mechanical Engineering Department. His research develops mechatronic systems for nanoscale imaging and fabrication, with applications in semiconductor metrology, 3D nanotomography, and biomedical diagnostics. He co-founded NEarfield Instruments BV, commercializing parallel AFM technology for semiconductor process control. His publications focus on subsurface microscopy, sensitivity analysis, and nano-transducers. Dr. Sadeghian holds over 60 patents and received the 'TNO excellent researcher' award (2012). He earned his PhD from Delft University of Technology (2010) and an MBA from Vlerick Business School (2014).

Tasfia Kabirمشاهده پروفایل

پژوهشگر

• Photonics
• Optical Engineering
• Semiconductor Lasers
• +۳ مورد دیگر

Tasfia Kabir is a Researcher in the Department of Electrical Engineering at Eindhoven University of Technology , specializing in Photonics and Optical Engineering . Her work focuses on photonic integration, tunable lasers, and optimization algorithms for semiconductor devices. Research Highlights: Active in Indium Phosphide technology , Mach-Zehnder Interferometers , and Stochastic Search Algorithms , she develops innovative photonic devices for applications in optical communication and integrated circuits. Her recent publications emphasize automated tuning mechanisms and compact laser design. Her research integrates Photonics with Optimization Algorithms , leveraging Indium Phosphide Membrane platforms to enhance tunable laser performance. Collaborations include interdisciplinary work with colleagues in semiconductor materials and device engineering.

Yang Liuمشاهده پروفایل

پژوهشگر ارشد

• Materials Science
• Chemical Engineering
• Thin Films
• +۲ مورد دیگر

Dr. Yang Liu is a Research Fellow in Chemical Process Intensification within the Department of Chemical Engineering and Chemistry at Eindhoven University of Technology. His research focuses on advanced materials synthesis for energy and catalytic applications. His work bridges nanotechnology and chemical engineering with particular expertise in sol-gel synthesis of functional thin films. Current projects include developing perovskite coatings for CO2 conversion and designing novel nanocatalysts for hydrogen production through methanol reforming. Publications demonstrate expertise in nanomaterial fabrication techniques including sol-gel processing and thin film deposition. Research themes cluster around energy conversion technologies, with recent emphasis on sustainable catalysis and optomagnetic materials for advanced electronics. Active contributor to the C-Recycle project focusing on innovation in chemical recycling technologies. Collaborates across materials science and chemical engineering disciplines to optimize catalytic processes.

Evgeny Rebrovمشاهده پروفایل

استاد

• Chemical Engineering
• Catalytic Reaction Engineering
• Plasma Catalysis
• +۳ مورد دیگر

Evgeny Rebrov is a part-time Full Professor of Energy Intensified Chemical Reaction Engineering at Eindhoven University of Technology (TU/e) and holds concurrent roles as Chair of Chemical Engineering at the University of Warwick (UK) and Full Professor at Queen’s University Belfast (UK). His expertise spans catalytic reaction engineering, multiphase reactors, and sustainable process development. Academic Background: He earned his PhD (cum laude) in Chemistry from the Boreskov Institute of Catalysis (1999) and DSc in Chemical Engineering from Lomonosov Moscow University (2012). Key career milestones include research at Cambridge University (2007) and leadership roles at TU/e, Warwick, and Queen’s University. Research Focus: His work centers on structured multiphase catalytic reactors for fine chemical synthesis, energy-intensified plasma-catalytic systems, and transient reactor operations. Applications include cost-efficient production of vitamins and agrichemicals via reactor design innovation. He leads EU-funded projects like the ERC Synergy grant (SCOPE) for plasma-catalyst integration. Recognition: He has received four major EU awards, including ERC Starting, Proof of Concept, Synergy grants, and an SME Innovation Council grant. His research contributes to UN SDGs related to affordable industry, clean energy, and climate action. Advising & Grants: Supervised 43 academic works and secured substantial grants for projects like plasma-fluidized bed reactors for ethylene production and CO₂ conversion. Collaborates with industries such as DSM, SABIC, and Airbus. Labs & Teams: Active in EIRES Research and the Energy Intensified Chemical Reaction Engineering group, advancing portable plasma technologies and sustainable process engineering solutions.

Ashish Pandharipandeمشاهده پروفایل

پژوهشگر

• Signal Processing
• Machine Learning
• Automotive Radar Systems
• +۵ مورد دیگر

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 Tunçerمشاهده پروفایل

استاد

• Evidence-Based Design
• Urban Science
• Artificial Intelligence
• +۸ مورد دیگر

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. Visserمشاهده پروفایل

استاد

• Wireless Power Transfer
• Antenna Design
• Biomedical Implants
• +۲ مورد دیگر

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. Leijtensمشاهده پروفایل

دانشیار

• Photonic Integration
• IC Design
• Measurement Automation
• +۱ مورد دیگر

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. Heckمشاهده پروفایل

استاد

• Photonic Integration
• Semiconductor Lasers
• Microwave Photonics
• +۲ مورد دیگر

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 Eissaمشاهده پروفایل

پژوهشگر

• Machine Learning
• Hardware Design
• Data Encoding
• +۴ مورد دیگر

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
• +۳ مورد دیگر

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
• +۴ مورد دیگر

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 Imdahlمشاهده پروفایل

استادیار

• Operations Management
• Supply Chain Management
• Machine Learning
• +۳ مورد دیگر

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
• +۴ مورد دیگر

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.