جستجوی استاد راهنمای دانشگاهی

Dr. Haneen Farah is an Associate Professor in the Department of Transport & Planning at Delft University of Technology and co-director of the Traffic and Transportation Safety Lab. She also serves as head of the Traffic Systems Engineering section. Her research focuses on road infrastructure design, road user behavior, and traffic safety, integrating transportation engineering, human factors, and econometrics. Prior to TU Delft, she was a postdoc at KTH Royal Institute of Technology and earned her M.Sc. and Ph.D. in Transportation Engineering from the Technion-Israel Institute of Technology. Her work includes national/international projects like SAMEN (mixed automated/human traffic implications), AfroSAFE (road safety in Africa), and XCARCITY (sustainable city mobility). She teaches undergraduate and graduate courses on road design and traffic safety, including online programs for low/middle-income countries. Farah supervises multiple PhD and Master students in her research areas, contributing to over 50 peer-reviewed publications. Key research themes include infrastructure design for automated vehicles, driver behavior modeling, cyclist safety, and policy implementation of the Safe System approach. Her interdisciplinary approach bridges engineering and psychology to enhance traffic safety and efficiency through advanced analytics and simulation models.

• road infrastructure design
• road user behavior
• traffic safety
• +۷ مورد دیگر

Lourens Waldorp is an Associate Professor at the University of Amsterdam within the Faculty of Social and Behavioural Sciences , specifically the Department of Psychological Methods . His research focuses on network theory, causal inference, and statistical modeling in psychology and neuroscience. University of Amsterdam IAS Fellow (2024) His research interests include: Network psychometrics Causal inference in psychological models High-dimensional statistical methods Dynamical systems in psychopathology Graph theory applications Signal processing for biophysical data The trends in his recent publications center on causal modeling, network analysis of psychopathology, and statistical techniques for time-series data. He has developed methods for perturbation graphs, moderated network models, and dynamic intervention frameworks. Notable scientific awards : IAS Fellowship for 6 months (2024) He advises PhD students like Kyra Evers and collaborates with researchers across disciplines, including J. Haslbeck , D. Borsboom , and O. Ryan . His work intersects with network theory and clinical psychology .

• Foundations of Probability
• Randomness
• Graph Theory
• +۸ مورد دیگر

Ron H.J. Peerlings is Associate Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e) , where he leads the Mechanics of Materials research group. Promoted to Associate Professor in 2007 after joining as Assistant Professor in 2000, he has built an extensive portfolio in theoretical and computational mechanics of materials. Education: PhD (1999) – Eindhoven University of Technology, thesis: Enhanced damage modelling for fracture and fatigue Post-doctoral research (1999–2000) – University of Cambridge, Engineering Department Research interests revolve around micromechanics , micro-plasticity , multiscale modelling , homogenisation , damage and fracture , and enriched continuum theories . His work spans advanced high-strength steels, composites, paper and fibrous networks, with strong emphasis on coupling rigorous theoretical developments to industrially motivated problems. His recent publications (2023-2025) demonstrate a clear trajectory towards integrating advanced experimental techniques (e.g., digital image correlation, micro-mechanical testing) with high-fidelity computational frameworks such as crystal-plasticity finite-element modelling, FFT-based solvers and micromorphic homogenisation. Dominant themes include: Deformation and fracture in lath martensite and dual-phase steels Hygro-mechanics of paper and fibrous networks Pattern-transforming mechanical metamaterials Discrete-to-continuum scale bridging methods Scientific awards are not explicitly listed in the provided material; however, his prolific output (294 research items, >6500 citations) attests to significant peer recognition. Teaching & supervision: He delivers courses on Computational Mechanics – Numerical Methods for Fluids and Solids and Fracture Mechanics – Theory and Application , and has supervised >80 student works and numerous PhD candidates whose names appear on joint publications. Laboratory & teams: He heads the Group Peerlings within the Mechanics of Materials cluster, maintaining close collaboration with the Mechanics of Materials Group Geers and extensive national/international experimental and computational networks.

• Micromechanics
• Micro-plasticity
• Multiscale modelling
• +۷ مورد دیگر

Phuong H. Nguyen is an Associate Professor at the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). He leads the digital Power & Energy Systems (digi-PES) lab, focusing on smart energy systems, distributed control, and IoT integration for future energy grids. His research addresses energy transition challenges, including microgrid optimization, flexibility markets, and data-driven grid management. Nguyen holds a PhD from TU/e (2010) and has held visiting researcher positions at Clemson University. His work contributes to UN SDG goals related to affordable and clean energy. Education: Bachelor's in Electrical Engineering, Hanoi University of Science and Technology (2002) Master's in Electrical Engineering, Asian Institute of Technology (2004) PhD in Electrical Engineering, TU/e (2010) Key Research Areas: Smart Grids and Cyber-Physical Systems Distributed Energy Resource Management Local Energy Markets and Flexibility Provision IoT and Big Data in Energy Systems Awards & Recognition: Best Paper Award SEST 2020 Projects & Grants: REACT-D: Reactive Power Management (Project Manager) Al-driven Applications to Smarten Power System Operation (Project Lead) UNIversity Campus as a Self-Regulated Network (Co-Manager) Labs & Teams: The digi-PES lab develops cyber-physical tools for energy transition, including microgrid simulations, flexibility markets, and grid resilience strategies.

• Smart Energy Systems
• Power System Control
• Distributed Energy Resources
• +۳ مورد دیگر

Prof. Dr. Pinar Yolum Birbil is a leading researcher in Responsible AI at the Faculty of Science , Utrecht University . Her work bridges Artificial Intelligence , Privacy and Data Protection , and Software Agents , focusing on Human-Centered AI and Trustworthy Systems . She is part of the AI & Data Science and Responsible AI research groups. PhD in Computer Science, North Carolina State University (2003) MS in Computer Science, North Carolina State University (2000) BSc in Computer Engineering, Marmara University (1998) Her research explores Privacy Preservation in collaborative systems, Computational Theory of Mind for human-agent coordination, and Norm-Based AI Systems . Recent projects include the Hybrid Intelligence Center and tools like PANOLA for privacy support. She investigates how AI can balance user autonomy , ethical norms , and societal values in applications ranging from urban planning to healthcare. Her scientific publications (2023-2025) span topics like Explainable Privacy , Trust in Hybrid Teams , and AI for Diabetes Management , appearing in venues such as JAIR , AAMAS , and ACM TOIT . She emphasizes collaborative AI , with contributions to multiagent simulations and privacy-preserving mechanisms . Scientific Awards : NC State University Alumni Hall of Fame (2017) Woman Entrepreneur of the Year (Microsoft Turkey & KAGIDER, 2017) Bogazici University Academic Encouragement Award (multiple years) Best Paper Award at ESAW 2009 She supervises a dynamic research group with PhD students working on Hybrid Intelligence , Computational Ethics , and Privacy Modeling . Her projects often involve interdisciplinary collaboration with institutions like TNO and the Transforming Cities Hub .

• Artificial Intelligence
• Privacy and Data Protection
• Trustworthy AI
• +۴ مورد دیگر

Prof. Hans van Lint is a Professor of Traffic Simulation and Computing at Delft University of Technology (TU Delft), where he holds the Anthony van Leeuwenhoek Chair since 2013. He is affiliated with the Department of Transport & Planning within the Faculty of Civil Engineering and Geosciences. His research focuses on the intersection of traffic flow theory, data analytics, and traffic simulation, with applications in estimating and predicting traffic states in networks. He has supervised numerous PhD students and contributed to valorization projects translating research into practical solutions. Van Lint earned his MSc in Civil Engineering in 1997 and returned to TU Delft for his PhD, which he completed in 2004 on 'Freeway Travel Time Prediction.' He has held roles including Assistant Professor (until 2009), Associate Professor, and has served as Director of Education for the MSc Transport, Infrastructure and Logistics program from 2010–2016. His research interests include traffic simulation frameworks, data assimilation techniques, and the development of tools for traffic state estimation. He has authored influential papers on topics such as microscopic traffic modeling, congestion pattern analysis, and macroscopic fundamental diagrams. His work emphasizes bridging theoretical models with real-world applications, enhancing traffic management and infrastructure planning. Van Lint teaches courses like 'Transport & Planning' and 'Interdisciplinary Fundamentals,' reflecting his commitment to both research and education. He actively contributes to TU Delft's labs, including the Traffic Dynamics, Modelling and Control Lab, advancing interdisciplinary approaches to mobility challenges.

• Traffic Simulation
• Transportation Engineering
• Data Analytics
• +۳ مورد دیگر

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.

• Biomedical Signal Processing
• Diagnostic Imaging
• Ultrasound Technology
• +۴ مورد دیگر

Pim de Vink is a doctoral researcher at Eindhoven University of Technology , affiliated with the Biomedical Engineering department and Chemical Biology group. Supervised by dr. L.-G. Milroy and prof. L. Brunsveld , his work bridges supramolecular chemistry and chemical biology , focusing on host/guest chemistry for protein complex modulation. Education: B.Sc. in Chemistry (2014) from University of Amsterdam M.Sc. in Biomedical Engineering (2016) from TU/e Internship at Max Planck Institute for Molecular Physiology (2016) on gold-catalyzed synthesis Research Themes: His research develops switchable cucurbituril-based systems for light-controlled enzyme activation and artificial signaling networks. Key areas include protein-protein interaction stabilization , thermodynamic modeling , and allosteric nuclear receptor modulation . Publication Trends: Across JACS , Chemical Science , and RSC Chemical Biology , his work from 2017–2023 emphasizes supramolecular tools for biochemical applications. Notable contributions include 100-fold affinity enhancement of 14-3-3 ligands and UV-responsive cucurbituril release mechanisms . Grants: Funded by Netherlands Organization for Scientific Research (NWO) through Gravity program 024.001.035 and VICI grant 016.150.366.

• Supramolecular Chemistry
• Chemical Biology
• Protein-Protein Interactions
• +۳ مورد دیگر

Leonie Bentsink is a Professor at the Laboratory of Plant Physiology , part of Wageningen University . Her research focuses on molecular mechanisms underlying seed dormancy, germination, and longevity in plants like Arabidopsis thaliana . She leads projects investigating translational regulation, seed microbiomes, and abiotic stress tolerance, supported by an NWO Vici grant (2018). Dr. Bentsink supervises multiple PhD candidates and has authored over 69 publications. Key contributions include discovering roles for genes like DOG1 and ANAC060 in dormancy regulation, and developing tools like the SeedTransNet translational network. Key Projects: Seed microbiome impacts on drought tolerance Seed germination cell communication mechanisms Spatial transcriptomics for abiotic stress resilience Datasets: 11 publicly available datasets on seed transcriptomes/metabolomes, including seed dormancy cycling and parental effect studies. Citations: Over 70 publications since 2000, with notable work on seed longevity and translational regulation.

• Plant Physiology
• Seed Biology
• Seed Germination
• +۵ مورد دیگر

Hailong Jiao is an Assistant Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) and an Associate Professor at Peking University Shenzhen Graduate School's School of Electronic and Computer Engineering. He is also a Visiting Assistant Professor with TU/e's Electronic Systems group. His research focuses on low-power and variations-resilient VLSI circuit and system design , including error-resilient systems, approximate computing, machine learning in VLSI, ultra-low voltage circuits, and emerging devices like 3D integration and carbon electronics. Education : BSc (highest honor, 2004, Shandong University), MSc (2008, Institute of Microelectronics, Chinese Academy of Sciences), PhD (2012, HKUST). Collaborations : BrainWave project (TU/e and Radboud University Nijmegen) developing wearable brainwave processing for epilepsy/Parkinson's healthcare. Editorial Roles : Associate Editor for Elsevier Microelectronics Journal and World Scientific Journal of Circuits, Systems, and Computers. Committee Memberships : HiPEAC, MemoCiS, ACM/SIGDA, and six IEEE committees. Research Trends : Recent articles emphasize energy-efficient IoT networks , voltage stacking , sensitivity control , and scan flip-flop design , aligning with UN SDGs for energy engineering and healthcare innovation. Scientific awards include highest honor at BSc .

• low-power VLSI circuit design
• variations-resilient systems
• error-resilient systems
• +۱۰ مورد دیگر

Thomas Bäck is a Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University , Netherlands, and a member of the interdisciplinary programme Society, Artificial Intelligence and Life Sciences (SAILS) . His academic career spans roles at Leiden University (1996–present) and leadership positions at the Center for Applied Systems Analysis in Dortmund (1994–2000). Education : Diplom-Informatiker (Computer Science), Technische Universität Dortmund (1990) Dr. rer. nat. (Computer Science), Technische Universität Dortmund (1994) Research Interests : Dr. Bäck specializes in evolutionary computation , machine learning , and their applications in sustainable smart industry and healthcare . Recent work focuses on integrating large language models (LLMs) and quantum computing into optimization frameworks, with projects like CIMPLO (predictive maintenance), ECOLE (experience-based optimization), and SAPPAO (airline operations optimization). Scientific Contributions : His 526+ publications cover evolutionary algorithms, quantum optimization, and LLM-driven design, with recent trends including: Quantum computing (e.g., quantum approximate optimization, quantum advantage challenges) LLM integration (e.g., hyperparameter tuning, mutation control, code evolution graphs) Healthcare and industry (e.g., predictive maintenance, anomaly detection, melt quality prediction) Algorithm benchmarking (e.g., IOHprofiler, MA-BBOB, explainable benchmarking) Scientific Awards : IEEE Fellow (2022) Royal Netherlands Academy of Arts and Sciences (KNAW) member (2021) Academia Europaea member (2022) IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award (2015) Fellow, International Society of Genetic and Evolutionary Computation (2003) Best Ph.D. thesis award, German Society of Computer Science (GI) (1995) Advising and Grants : He supervises Ph.D. candidates in evolutionary computation and machine learning and has secured 7 major grants from organizations like the Dutch Research Council , European Commission , and The Research Council of Norway . His editorial roles include Editor-in-Chief of the Evolutionary Computation Journal and associate editorships in leading AI journals.

• Evolutionary Computation
• Machine Learning
• Natural Computing
• +۵ مورد دیگر

Niels van Oort is an Associate Professor of Public Transport at Delft University of Technology (TU Delft), co-director of the Smart Public Transport Lab, and affiliated with the Department of Transport & Planning within the Faculty of Civil Engineering and Geosciences. His work focuses on public transport planning, data-driven design, and societal impacts including inclusiveness, land-use, and sustainability. He holds a dual role as a part-time consultant via his company Van Oort Mobility Consultancy since 2020. Education: MSc in Public Transport from TU Delft (2003), PhD in Service Reliability in Public Transport (2011). Professional experience includes roles at HTM (public transport operator), MIT (2009), and Goudappel Coffeng consultants (2007–2012). Transitioned to academia as a part-time assistant professor at TU Delft in 2012, becoming full-time in 2018. Research emphasizes network optimization, timetable reliability, micromobility, and first/last mile solutions. Key areas include pandemic impacts on transport behavior, digital inequality in mobility access, and sustainable transport policies. Supervises PhD students on integrated networks and passenger behavior. Teaching includes courses on public transport operations, advanced modelling, and transport networks. Active in academic publishing and conferences, with over 20 peer-reviewed articles since 2010. Engaged in interdisciplinary labs like SUM Lab (Smart Urban Mobility) and contributes to public discourse through media and consultancy. Labs/Teams: Smart Public Transport Lab (co-director), SUM Lab, and Delft Transport Modelling Group. Grants and projects focus on data-driven solutions for public transport efficiency and equity.

• Public Transport Planning
• Data-Driven Design
• Transport Sustainability
• +۵ مورد دیگر

Roozbeh Torkzadeh is a researcher with expertise in smart grids, synchrophasor technologies, and power quality. He completed his M.Sc. (Hon.) in Electrical Engineering at Yazd University (2013) and earned his Ph.D. from the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) in 2023. His Ph.D. project was funded by Netbeheer Nederland. He has held research roles at Universidad Loyola Andalucía (Spain) and TenneT TSO BV (Netherlands), and is currently a guest researcher at TU/e while working as a Senior Electrical Engineer at Shell Global Solutions International, focusing on grid connection, renewable integration, and decarbonization. Education: M.Sc. (Hon.) in Electrical Engineering, Yazd University (2013) Ph.D. in Electrical Engineering, Eindhoven University of Technology (2023) Roozbeh’s research spans power systems, renewable energy integration, and grid stability. He has contributed to voltage dip assessment, energy transition impacts on network quality, and PMU placement optimization. His work emphasizes practical challenges in wide-area measurement systems, fault current injection, and synthetic inertia control for low-inertia grids. Recent publications highlight trends in energy transition-driven grid modifications, voltage dip analysis, and synchrophasor applications. Key subfields include network modeling, renewable energy markets, and hydrogen scheduling. Scientific Awards: Next Generation Network (NGN) Showcase Presentation Award (CIGRE, 2021) His Ph.D. grant from Netbeheer Nederland and collaborations with Dutch grid operators underscore his industry-academia engagement. Current roles in Shell and TU/e reflect his focus on electrification and decarbonization projects.

• Smart Grids
• Synchrophasor Technologies
• Power Quality
• +۳ مورد دیگر

Ibo van de Poel is a Full Professor at Delft University of Technology , within the Faculty of Technology, Policy and Management , specifically in the Section Philosophy . He holds the prestigious Antoni van Leeuwenhoek professorship , awarded to excellent young researchers, and is a leading figure in Design for Values , engineering ethics , and technology as social experimentation . Education: Van de Poel studied Philosophy of Science, Technology and Society at the University of Twente , with a propaedeutic exam in Mechanical Engineering . He earned his PhD in Science and Technology Studies (STS) in 1998 from the University of Twente , under the supervision of Prof. Dr. A. Rip. Research Interests: His research spans three major themes: Design for Values : Investigating how moral values can be integrated into engineering design, including empirical studies on how engineers handle value conflicts. Moral Responsibility in R&D Networks : Exploring the "problem of many hands" in large-scale research and development projects, developing formalizations and empirical methods. Ethics of Emerging Technologies : Examining ethical issues in new technologies like nanotechnology and synthetic biology , with a focus on technology as social experimentation . Publications and Impact: Van de Poel has authored over 25 international peer-reviewed articles and 15 book contributions . He is co-editor of major works including the Handbook of Philosophy of Technology and the Engineering Sciences (Elsevier, 2009), Philosophy and Engineering (Springer, 2010), and Ethics, Engineering and Technology (Wiley-Blackwell, 2011). His recent work includes leading the VICI project "New Technologies as Social Experiments" , funded by NWO. Scientific Awards: Antoni van Leeuwenhoek Professorship (TU Delft) VICI Grant for "New Technologies as Social Experiments: Conditions for Morally Responsible Experimentation" Advising and Grants: Van de Poel has led and contributed to multiple high-impact projects, including: NWO Project on "Moral Responsibility in R&D Networks" (2007–2012) EU Project on ethical issues in synthetic biology (2009–2011) VICI Project on "New Technologies as Social Experiments" (ongoing) He has also supervised PhD students and contributed to educational innovations, including the development of the AGORA web-based program and the first Dutch textbook on ethics and technology . Labs and Teams: Van de Poel is an active member of 4TU.Ethics & Technology , a federation of Dutch technical universities focused on ethics and technology. He contributes to the Simon Stevin Series in the Ethics of Technology and participates in various reading groups and PhD communities within the network.

• Design for Values
• Engineering Ethics
• Moral Responsibility in R&D Networks
• +۳ مورد دیگر

Dr. Thijs Broekhuizen is an Associate Professor at the University of Groningen's Faculty of Economics and Business, specializing in Innovation Management & Strategy. He currently serves as Scientific Director of the University of Groningen Business School, Coordinator of the Northern-Netherlands Innovation Monitor, and Programme Director of the Executive MBA. His research focuses on digital transformation, value creation in innovation, and digital business models, with interdisciplinary insights bridging strategy, innovation, and digitalization. Education: PhD in Marketing (University of Groningen, 2006) MSc in Marketing (University of Groningen, 2001) Research Interests: Broekhuizen explores value appropriation in technology-driven contexts, digital business models, and strategic responses to disruptive technologies. His work emphasizes SMEs' digital transformation challenges, organizational identity during technological change, and AI-driven innovation management. Key areas include digital platforms, motion picture industries, and social media dynamics. Grants & Projects: TALENT4S3 (€165K, Interreg 2024-2028) SIRM (€189K, Interreg 2023-2027) NWO-funded studies on construction industry profitability and online customer journeys Awards: Best Paper Award at ISoF 2021 Best Short Paper Award Nomination 2021 Teaching & Leadership: Broekhuizen teaches strategy and digitalization in executive programs and has led the MScBA and EMBA initiatives. His educational roles include Programme Director of the Executive MBA (Energy Transition, Health, Sustainable Business Models tracks) and member of the Groningen Digital Business Centre. Labs/Teams: He coordinates the Northern-Netherlands Innovation Monitor (surveying 10,000+ SMEs) and collaborates with the Groningen Digital Business Centre to advance digital strategy research.

• Innovation Adoption
• Value Appropriation
• Digital Business Models
• +۹ مورد دیگر