جست‌وجوی استاد و پژوهشگر

Rong-Hao Liangمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Tangible User Interfaces
• Intelligent Sensing Systems
• +۷ مورد دیگر

Dr. Rong-Hao Liang is an Assistant Professor at Eindhoven University of Technology (TU/e), affiliated with both the Future Everyday Group (Department of Industrial Design) and the Signal Processing Systems Group (Department of Electrical Engineering). His research bridges intelligent sensing systems and user interface technology for ubiquitous computing and embodied human-computer interaction . He co-organized international ACM conferences (CHI, UIST, DIS) and has over 70 peer-reviewed publications and 10 patents. PhD in Computer Science (2014) and MSc in Electrical Engineering (2010) from National Taiwan University Founded GaussToys Inc. in 2015, focusing on magnetic-field sensors Cross-appointed to Electrical Engineering in 2021 His research explores intelligent sensing systems , tangible user interfaces , and physiological sensors for real-world challenges. Key trends in his work include ubiquitous health monitoring (e.g., preterm infants), wearable technology , and innovative interaction design . Articles like GaussBits and NFCStack demonstrate his focus on magnetic and RFID-based tangible systems . Scientific awards include the ACM CHI 2013 Best Paper Award , 2014 Honorable Mentions , and the ACM SIGGRAPH Asia 2012 Emerging Technologies Prize . He mentors passion-driven projects in user interface design and embedded systems , emphasizing technical rigor and creativity. His STRAP project (2020–2025) addresses heart disease prevention via big data and AI . Labs and teams include the Future Everyday Group and Signal Processing Systems Group , with collaborations across healthcare , education , and technology startups . His work aligns with UN Sustainable Development Goals , particularly good health and well-being .

• Environmental Chemistry
• Mass Spectrometry
• Non-Targeted Analysis
• +۵ مورد دیگر

Dr. Saer Samanipour is a Visiting Professor at the Van 't Hoff Institute for Molecular Sciences, part of the Faculty of Science at the University of Amsterdam. His research focuses on advanced analytical techniques for environmental and biomedical applications, with a strong emphasis on non-targeted analysis, mass spectrometry, and machine learning integration. He leads efforts in developing open-source tools like GcDUO and jHRMSToolBox to enhance data interpretation in complex chemical datasets. Key areas include environmental contaminant detection, chemical exposure assessment via wastewater-based epidemiology, and proteomic analysis of snake venoms. His work bridges computational methods with experimental chemistry to address global challenges in environmental health and toxicology. Primary affiliation: Van 't Hoff Institute for Molecular Sciences Research themes: Non-targeted LC-HRMS workflows, machine learning applications in analytical chemistry, PFAS analysis, and exposome research Software contributions: GcDUO (GC×GC-MS), jHRMSToolBox (HRMS data processing) His publications highlight innovations in data-driven approaches for compound prioritization, toxicity prediction, and method optimization. Recent work explores chemical space exploration and chemometric strategies for complex mixture analysis, with applications to environmental monitoring and forensic science.

Marcel A.M. Hendrixمشاهده پروفایل

استادیار

• Design Automation
• Cloud Computing
• IC Development
• +۴ مورد دیگر

Marcel A.M. Hendrix is an Assistant Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), specializing in high-precision power electronics and analog circuitry. He is affiliated with the Electromechanics and Power Electronics group and the Power Electronics Lab. Currently employed at Signify, he holds a part-time role at TU/e since 1998. His work integrates design automation, cloud computing, and IC development with system simulation and modeling. Education: MSc in Electronic Circuit Design from TU/e (1981) Research Focus: Hendrix’s research emphasizes hybrid switched-capacitor power conversion, discrete-time control techniques, and large-scale computing. His contributions include advancements in LED driver efficiency and grid-connected converter optimization. He is a key contributor to NGSPICE, an open-source circuit simulator. Advising & Grants: Supervised 33 academic works, including F.N. Hooge ’s thesis on sinus/cosinus generators. Recipient of 4417 citations across 120+ publications. Labs & Teams: Active in the Power Electronics Lab and collaborates on projects involving sustainable energy systems aligned with UN SDG goals.

Twan Bastenمشاهده پروفایل

استاد

• Embedded Systems
• Cyber-Physical Systems
• Model-Driven Engineering
• +۳ مورد دیگر

Twan Basten is a Full Professor in the Electronic Systems group at Eindhoven University of Technology (TU/e). He leads research on embedded and cyber-physical systems, focusing on model-driven design, computational models, and system dependability. He holds an MSc (1993) and PhD (1998) in Computing Science from TU/e, advancing from Assistant to Full Professor by 2009, and became the Electronic Systems group chair in 2013. His research spans international projects (FP5-7, H2020, ECSEL) and Dutch initiatives (STW, NWO, RVO), with over 200 publications and seven best paper awards. He has co-supervised 21 PhD students and actively participates in program committees and conferences. His work contributes to UN Sustainable Development Goals through innovations in smart systems. Education: MSc in Computing Science, TU/e (1993) PhD in Computing Science, TU/e (1998) Research Interests: Explores design methodologies for embedded systems, including scenario-based design, real-time scheduling, and performance analysis. Specializes in model-driven engineering and computational models to ensure system dependability. Active in projects like TRANSACT (real-time systems) and SAM-FMS (flexible manufacturing). Key Contributions: Co-author of 1 book and over 200 scientific publications Recipient of seven best paper awards Co-supervised 21 PhD degrees Senior member of IEEE and lifetime member of ACM Labs & Teams: Leads the Model-Based Design Lab and contributes to EAISI High Tech Systems initiatives. Collaborates on tools like TRACE4CPS for execution trace analysis and CReTS for vehicle platooning simulation.

Vittorio Saggiomoمشاهده پروفایل

دانشیار

• Material Science
• Three Dimensional Printing
• Gold Nanoparticles
• +۱۰ مورد دیگر

Vittorio Saggiomo is an Associate Professor in BioNanoTechnology at Wageningen University & Research , with significant collaborations at University College Dublin and other institutions. His work bridges material science, microfluidics, and open science hardware development. Research Interests include: 3D Printing Innovations Nanocomposite Material Development Open-Source Scientific Hardware Microplastic Detection Systems Algae-based Biopolymers Peptide Hydrogel Engineering Recent Publications demonstrate expertise in: Low-cost microscopy solutions (EnderScope/ESPressoscope) Algae-derived 3D printing resins Optical waveguide biomaterials Open science frameworks for fluidics Key Projects involve: Modular Microfluidic Catalysis Systems Self-optimizing Fluidic Technologies Microalgal Biorefineries for Food/Nutraceuticals Low-Field NMR/MRI Development Academic Activities feature multiple oral presentations on open microfluidics and hardware at international conferences (2025) and workshop organization like the Wageningen Biodiversity Challenge.

Jesse Howardمشاهده پروفایل

مدرس

• Design for Repair
• Open-Source Hardware
• Smart Home Technology
• +۳ مورد دیگر

Jesse Howard is a Lecturer in the Design Lectorate at the Royal Academy of Art (KABK) in The Hague. A designer, researcher, and educator, he focuses on reimagining everyday objects through open-source systems, repair culture, and sustainable design. His work bridges design, technology, and community-driven practices. Education: BSc Mathematics (Colorado College), DesignLAB (Gerrit Rietveld Academie, 2011). Key affiliations include collaborations with Timelab, Creative Industries Fund NL, and Waag Society. Research interests include democratizing product design, ethical manufacturing, and privacy in smart home technologies. Notable projects: Hacking Households (2014), Data and Devices (2018), and Transparent Tools . He has led workshops at Design Academy Eindhoven, ECAL, and Design Museum London. His work explores repair as a political act, advocating for systems where users control design/production information. Recent initiatives include the Candle Smart Home project and modular motor experiments.

Wan Fokkinkمشاهده پروفایل

استاد

• Distributed Systems
• Formal Analysis of Protocols
• Concurrency Theory
• +۳ مورد دیگر

Prof. Wan Fokkink is a Full Professor in Theoretical Computer Science at Vrije Universiteit Amsterdam (VU) and holds a part-time position as Professor of Model-Based System Engineering at Eindhoven University of Technology (TU/e). His research focuses on distributed systems, formal analysis of protocols, and supervisory control synthesis. He leads the Theoretical Computer Science group at VU and has authored three influential textbooks: Introduction to Process Algebra , Modelling Distributed Systems , and Distributed Algorithms: An Intuitive Approach . Education: MSc in Mathematics (University of Amsterdam, 1990) and PhD in Computer Science (University of Amsterdam, 1994). Postdoctoral work at Utrecht University and lectureship at Swansea University preceded his leadership roles at CWI (2001–2004) and VU (since 2004). Teaching includes courses on logic, concurrency, and distributed algorithms. He is editor of Logical Methods in Computer Science and co-founder of the Electronic Proceedings in Theoretical Computer Science . Active in professional organizations: co-founder of IFIP WG 1.8 (Concurrency Theory) and steering committee member of the CONCUR conference. Research interests span formal verification, concurrency theory, and practical applications of supervisory control in engineering systems (e.g., traffic management, ship locks). His work aligns with sustainable development goals through contributions to reliable system design and optimization. Recent articles explore model-based specification, distributed control under communication delays, and tools like Eclipse ESCET for supervisory control synthesis. Collaborations span international teams in Europe and beyond.

O. Catsمشاهده پروفایل

استاد

• Transportation Engineering
• Public Transportation Systems
• Operations Research
• +۴ مورد دیگر

O. Cats is a Professor of Passenger Transport Systems and Head of the Department of Transport & Planning at Delft University of Technology (TU Delft). They also serve as a Guest Professor at KTH Royal Institute of Technology. Their research focuses on multi-modal passenger transport networks, combining simulation, operations research, behavioral sciences, and complex network theory to address challenges in public transport, shared mobility, and long-distance travel dynamics. Key interests include network robustness, service operations, and passenger demand modeling. Dr. Cats leads the Smart Public Transport Lab at TU Delft, collaborating closely with transport authorities and operators. They hold editorial roles at journals like the Journal of Public Transportation and have received prestigious grants, including the ERC Starting Grant for the CriticalMaaS project. Awards include recognition for work on crowding valuation in urban transport systems. Recent publications emphasize optimization of electric vehicle infrastructure, sustainability in travel behavior, and dynamics of ridesourcing markets. Their work bridges theoretical research with practical applications, aiming to enhance transport efficiency and sustainability globally.

Kristina Irionمشاهده پروفایل

استاد

• Digital Law
• Data Protection
• EU Regulatory Frameworks
• +۵ مورد دیگر

Dr. Kristina Irion is a prominent legal scholar and academic leader specializing in digital and data law at the University of Amsterdam’s Amsterdam Law School. As Head of Studies for Law at PPLE and Director of the Academic Excellence Track (AcET), she focuses on integrating interdisciplinary approaches to legal education and research. Her career spans academia, policy advising, and regulatory practice in areas like EU data governance, digital trade, and media regulation. Dr. Irion holds a LL.M. in IT & Telecommunications Law and a Dr. iuris from Martin Luther University, Halle-Wittenberg. She has held fellowships with the European Commission, the Electronic Privacy Information Center, and Berlin’s Data Protection Authority. Her research emphasizes evolving legal frameworks around artificial intelligence, privacy, and the interplay between trade law and digital rights. Her work frequently addresses global challenges such as data sovereignty, algorithmic accountability, and the governance of cross-border data flows. She advises major institutions including the European Commission, OECD, and Council of Europe on digital policy. Dr. Irion teaches courses on technology governance and co-leads the Advanced Master in Technology Governance program. Her publications (15 most recent shown) explore topics ranging from AI regulation under EU trade frameworks to privacy implications in digital trade agreements. While no formal awards are listed, her extensive policy contributions reflect her leadership in shaping digital legal landscapes.

B. (Bernd) Ensingمشاهده پروفایل

دانشیار

• Computational Chemistry
• Molecular Simulations
• Catalyst Design
• +۷ مورد دیگر

Dr. Bernd Ensing is an Associate Professor at the van 't Hoff Institute for Molecular Sciences (HIMS) within the University of Amsterdam's Faculty of Science. He directs the AI4Science Laboratory, focusing on integrating artificial intelligence with molecular simulations. His research spans computational chemistry, catalyst design, and biophysical systems, emphasizing bio-inspired materials and electron/proton transfer mechanisms. Key research areas include: molecular simulations of catalytic processes (e.g., hydrogenase enzymes), multiscale modeling of soft materials, and machine learning-enhanced data analysis. He develops advanced algorithms like Path-metadynamics and FABULOUS for free energy exploration and reaction coordinate identification. Notable contributions include studies on polyether solubility in water, light-activated proteins' signaling mechanisms, and adaptive resolution simulations (Hybrid-atomistic/coarse-grained methods). His group collaborates on AI-driven material discovery and sustainable chemistry solutions. He has supervised numerous student projects at bachelor/master levels, requiring expertise in quantum chemistry, thermodynamics, or programming. The AI4Science Lab promotes open-source tools via GitHub and community-driven initiatives like PLUMED tutorials.

Felipe Martinsمشاهده پروفایل

مدرس ارشد

• Mobile Robot Control
• Educational Robotics
• Robotics Competitions
• +۶ مورد دیگر

Felipe Martins is a Senior Lecturer-Researcher at Hanze University of Applied Sciences, active in both teaching and the Sensors and Smart Systems research group. He holds a PhD in Electrical and Electronic Engineering (2009) and has a background in industrial automation engineering (1999-2003). His work contributes to UN Sustainable Development Goals through educational robotics and automation. PhD: Modeling and Dynamic Compensation of Mobile Robots (Federal University of Espirito Santo) MSc: Control of Induction Generators via Fuzzy Logic BSc: Microcontroller-based Motor Control Research spans mobile robot control , educational robotics , autonomous navigation , and sensor networks . Recent publications focus on LiDAR data processing (2024), reinforcement learning for robotic applications (2022), and machine learning-driven localization (2023). He received Best Paper Awards at OL2A 2023 and WRE 2018. As a part-time teacher at University of Groningen (since 2022) and visiting researcher at CeDRI (2023), he bridges academia and industry. His editorial roles include guest editorships at Automation (MDPI) and Sensors journals. He co-organized RoboCup Junior events (2013-2021) and developed open-source robotics education tools like RoSoS A free simulator (2016).

• Economic Geography
• Technological Change
• Spatial Inequality
• +۵ مورد دیگر

Sergio Gabiel Petralia is an Assistant Professor in Economic Geography at the Faculty of Geosciences, Utrecht University. His research focuses on the spatial dimensions of economic development, technological change, and innovation systems. He teaches courses including Advanced Methods and Techniques, Advanced Methods in Economics and Geography, Economics of Cities, and Economics of Networks. His work examines how technological capabilities evolve across regions and how this affects economic disparities and spatial inequality. Dr. Petralia's research spans economic geography, technological change, and spatial inequality. He investigates how regions develop technological capabilities over time, examining patterns of innovation, patenting activity, and industrial evolution. His work often employs network analysis and historical datasets to understand long-term regional development trajectories and the factors that lead to economic divergence between places. He has developed expertise in analyzing complex economic activities, regional development traps, and the geography of innovation systems across different historical periods. His publication record reveals a progression from historical patent analysis to contemporary issues of economic complexity and disruptive innovation. Starting with studies of US patent geography from 1836-1975, his work evolved to examine technological ladders and complex economic activities in cities, culminating in recent research on disruptive innovation, spatial inequality, and future occupational geographies in Europe. His research consistently bridges economic geography with innovation studies, using sophisticated quantitative methods to explain spatial patterns of economic activity and technological development. Dr. Petralia has published in high-impact journals including Nature Human Behaviour, Research Policy, and Scientific Data. His 2020 paper in Nature Human Behaviour on complex economic activities in large cities has received significant attention with 296 citation indexes and 32 policy citations. His work demonstrates strong engagement with both academic and policy communities, with several publications referenced in policy sources and picked up by news outlets. As an educator, Dr. Petralia contributes to the Department of Economic Geography at Utrecht University, teaching advanced methods courses that likely incorporate his research expertise in economic networks and spatial analysis. His office is located in the Vening Meinesz Building on the Utrecht Science Park campus.

Chuan Mengمشاهده پروفایل

پژوهشگر

• Information Retrieval
• Natural Language Processing
• Conversational Search
• +۶ مورد دیگر

Chuan Meng is a researcher transitioning to a postdoctoral position at the University of Edinburgh's Natural Language Processing Group in September 2025. He obtained his PhD in Artificial Intelligence from the University of Amsterdam (UvA) in June 2025, supervised by Maarten de Rijke and Mohammad Aliannejadi. His research focuses on Information Retrieval and Natural Language Processing with Large Language Models , particularly in conversational agents, model/data-efficient neural ranking, and automatic evaluation techniques like query performance prediction. Education: PhD in Artificial Intelligence, University of Amsterdam (2025) MS in Computer Science and Technology, Shandong University (2021) BS in Electronic Commerce, Shandong Normal University (2018) His research interests span conversational search optimization, proactive agent development, knowledge-grounded dialogue systems, and query performance prediction using LLM-generated judgments. Recent work includes UniConv (unified retrieval/response generation), SOLID (intent-aware dialog generation), and QPP++ 2025 workshop organization. Key scientific contributions include 440+ Google Scholar citations (H-index: 13) and publications in premier venues like SIGIR , ACL , EMNLP , and TOIS . He has served as program committee member for SIGIR 2025/2024, ACL 2023, and other top conferences. As teaching assistant , he contributed to Information Retrieval and Natural Language Processing courses at UvA and Shandong University. His administrative roles include IRLab LinkedIn manager, webmaster for IRLab website, and seminar chair at UvA.

• Agro Food Robotics
• Precision Farming
• Optimal Control
• +۳ مورد دیگر

Eldert van Henten is a full professor of Biosystems Engineering at Wageningen University & Research. His research focuses on agro food robotics, precision farming, and optimal control systems in agriculture. He earned his MSc (1987) and PhD (1994) in Agricultural and Environmental Sciences from Wageningen University. He previously led the Farm Technology Group until 2021 and currently leads projects like FlexCRAFT (Cognitive Robots for Flexible Agro Food Technology) and Trimbot2020, developing robotics and automation for agricultural applications. His work emphasizes translating technology to practical environments (TRL 5-6), with contributions to robotic harvesting, precision weed control, and greenhouse climate modeling. Education: MSc (cum laude, 1987), PhD (1994) in Agricultural Sciences at Wageningen University. Key Projects: FlexCRAFT: Generic robotics principles for food processing, packing, and greenhouse operations. Trimbot2020: Outdoor garden trimming robot with 3D path planning. PoultryBot: Autonomous egg collection in poultry farming. Editorial Roles: Member of editorial boards for Biosystems Engineering, Computers and Electronics in Agriculture, and others. Research Themes: Agro food robotics (harvesting, vision systems, machine learning). Optimal control of agricultural processes (greenhouse climate, irrigation). Generic robotics frameworks for agri-food applications. Awards: Not explicitly listed, but recognized via research impact (h-index 31–47 across platforms). His teaching includes courses on greenhouse technology, field robotics, and thesis supervision. He collaborates with industry through user groups and consortia to ensure practical technology transfer.

Poonacha Medappaمشاهده پروفایل

استادیار

• Open-source software development
• Project management
• Online communities
• +۳ مورد دیگر

Poonacha Medappa is an Assistant Professor in Information Systems at the Department of Information Systems and Operations Management (ISOM) within the Tilburg School of Economics and Management (TiSEM) at Tilburg University. He holds a PhD in Information Systems from HEC Paris (2014–2019) and a Post Graduate Diploma in Management from the Indian Institute of Management, Calcutta (2008–2010). Prior to academia, he worked as a Senior Business Analyst/Consultant at Cognizant Technology Solutions (2010–2013) and Design Engineer at Larsen & Toubro Limited (2006–2008). His research focuses on open-source software development, project management, online communities, and applications of machine learning in research. He has published in top journals such as Information Systems Research , Research Policy , and Decision Support Systems , and presented at conferences like the International Conference on Information Systems and Academy of Management. His work has been recognized with awards including the Best Paper Award for Creativity at the Strategic Management Society Annual Conference (2021). Medappa organizes major conferences such as the International Conference on Electronic Business (ICEB 2022, 2024) and leads the project Understanding the Negative Impact of AI on Open Source Software Development Communities (2025–2026). He actively advises PhD students and explores topics like AI’s role in software development, funding mechanisms in open-source ecosystems, and contributor behavior dynamics.