جستجوی استاد راهنمای دانشگاهی

Theo Hofman is an Associate Professor and Program Director in the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). He specializes in integrated design methods for complex engineering systems, focusing on powertrain systems for automotive, maritime, and aerospace applications. His work emphasizes computational design synthesis, machine learning, and model-based optimization. Education: Hofman holds an MSc (1999) and PhD (2007) in Mechanical Engineering from TU/e. He has held roles at Thales Cryogenics and Drivetrain Innovations before joining TU/e. He also served as an Invited Professor at ETH Zurich and Université Polytechnique Hauts-de-France. Research Interests: His research spans hybrid electric vehicles, powertrain design, energy management systems, and sustainable transportation. Key areas include automated design tools, thermal management, and co-design of plant and control systems. Applications include electric trucks, ships, and aircraft. Articles Trends: His recent publications (2021–2025) emphasize electric vehicle infrastructure optimization, battery systems, and control strategies. Key themes include energy efficiency, thermal management, and co-design methodologies for automotive and mobility systems. Scientific Awards: IEEE VPPC 2024 Best Paper Award. Advising & Grants: He has supervised over 104 MSc, 14 PDEng, and 10 PhD students. Active projects include the 'Green Transport Delta' initiative (2021–2024) and Bosch Transmission collaborations. His courses include 'Electric and Hybrid Vehicle Powertrain Design' and 'Automotive Systems Engineering Project.' Labs/Teams: He leads the Group Hofman and collaborates with the MEGEVH (France) and TU/e’s EAISI Mobility initiative. His work contributes to UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and climate action.

• Powertrain Systems
• Automotive Engineering
• Hybrid Electric Vehicles
• +۵ مورد دیگر

Peter C.J.M. van der Wielen is a part-time Professor of Reliability Grid Components at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), while maintaining a full-time role as Business Director for Power Failure Investigations and Principal Consultant in Power Cables at DNV GL – Energy. His work bridges academic research and industrial applications, focusing on grid component reliability, power cable technology, and asset management. Role: Part-time Professor (since 2018) Primary Affiliation: DNV GL – Energy (since 2000) Academic Affiliation: TU/e Department of Electrical Engineering His research interests center on grid component reliability , power cable degradation , and failure analysis , with a strong emphasis on translating scientific findings into practical tools like "Smart Cable Guard" for on-line partial discharge monitoring in medium voltage cables. He explores remaining life estimation , condition assessment , and maintenance methodologies to enhance power grid availability. Recent publications highlight his expertise in load scenario modeling using copulas, thermal monitoring of power cables via wave velocity, and congestion management strategies for power grids. These works align with his broader focus on asset management and reliability engineering . Scientific Awards : Hidde Nijland Award (2014) for groundbreaking power cable technology research At DNV GL, he leads power failure investigations and provides consultancy on power cable systems. As a TU/e Professor, he teaches grid component reliability and contributes to research on degradation mechanisms , failure analysis , and dynamic cable rating in collaboration with industry partners.

• Reliability Engineering
• Power Systems
• Electrical Engineering
• +۵ مورد دیگر

Simon J. Watson is a Professor in the Faculty of Aerospace Engineering at Delft University of Technology, specializing in Wind Energy through the TU Delft Wind Energy Institute (DUWIND). His work focuses on advancing wind turbine technology, wind farm optimization, and renewable energy integration within the university's aerospace framework. His research spans wind turbine engineering, condition monitoring systems, atmospheric effects on energy production, and wind farm design. Key investigations include damage detection in turbine components (blades, drivetrains), simulation of atmospheric gravity waves for improved energy forecasting, and hybrid wind-storage systems for grid stability. Recent work emphasizes machine learning applications for predictive maintenance and high-fidelity modeling of boundary layer conditions. Professor Watson's 2025 publications reveal a strong trend toward AI-driven condition monitoring and refined atmospheric simulations, with consistent focus on operational reliability and damage detection across wind energy systems. His work bridges computational fluid dynamics, structural health monitoring, and energy storage integration. He actively supervises students and leads the €4.2M MERIDIONAL project (2022-2026) on multiscale wind farm modeling, developing advanced toolchains for performance assessment and load prediction. This EU-funded initiative involves collaboration with Siemens Gamesa, Vestas, and ENEL. As a core member of DUWIND, he co-develops industry partnerships and experimental facilities including wind tunnel testing and field monitoring systems for offshore wind farms. His team maintains close ties with the Netherlands Wind Energy Association and European Wind Energy Technology Platform.

• Wind Energy
• Wind Turbine Engineering
• Condition Monitoring
• +۳ مورد دیگر

Bert Zwart is a Professor and Scientific Staff Member at Centrum Wiskunde & Informatica (CWI) in Amsterdam, where he leads the Stochastics group. He also holds a professorship by special appointment at Technische Universiteit Eindhoven (TU/e). His research spans applied probability, stochastic processes, queueing theory, and operations research, with applications in power systems, supply chains, and risk modeling. His research interests focus on extreme value theory , large deviations , asymptotic analysis of stochastic systems , and random graphs . He develops theoretical tools to analyze rare events and performance limits in complex systems such as fork-join queues, power grids, and stochastic networks. His work combines deep probabilistic insights with practical applications in engineering and operations management. Recent publications (2023–2025) reveal a strong focus on tail behavior in queueing systems, large deviations in heavy-tailed processes, and optimization in power networks. The articles span high-impact journals like Mathematics of Operations Research , Queueing Systems , and Random Structures & Algorithms , indicating sustained leadership in applied probability and stochastic modeling. His scientific awards include: Erlang Prize (2008) Dantzig Prize (2015) Best publication award, INFORMS Revenue Management & Pricing (2016) IBM Faculty Award (2008) ASML Prize (2002) Gijs de Leve Prize (2002) Applied Probability Trust Award (2001) Best paper, Performance conferentie, Namen, Belgium (2010) Zwart has secured significant research funding, including a Vici grant from NWO on rare events, multiple NWO TOP and STAR cluster grants, and funding for PhD positions and postdocs. He has advised numerous students (though not explicitly listed here) and collaborates widely with researchers such as Maria Vlasiou, Remco van der Hofstad, and Onno Boxma. He is actively involved in teaching, offering advanced courses like Stochastic Decision Theory and Asymptotic Methods in Queueing Theory . He leads the Stochastics group at CWI, a leading research unit in probability and operations research.

• Applied Probability
• Stochastic Processes
• Queueing Theory
• +۷ مورد دیگر

Bert Zwart is a Professor at Technische Universiteit Eindhoven and holds a Scientific Staff Member position at Centrum Wiskunde & Informatica (CWI), Amsterdam. He leads research groups in stochastic systems and optimization, with expertise in queueing theory, large deviations, and stochastic networks. His work bridges theoretical probability with applications in power systems, operations research, and telecommunications. Zwart has been awarded prestigious honors including the Dantzig Prize (2015), Erlang Prize (2008), and IBM Faculty Award (2008/2009). His research focuses on extreme-value analysis, heavy-tailed processes, and stochastic modeling of complex systems. Notable contributions include studies on fork-join queues, power flow dynamics, and random graph structures. Grants: Led or co-led multiple NWO-funded projects, including a €1.5M VICI grant (2015) for rare event research and a €420K TOP program grant for two-dimensional queueing models (2014–2018). Teaching: Recently taught courses such as Stochastic Decision Theory and Asymptotic Methods in Queueing Theory at TU Eindhoven. Labs/Teams: Active in CWI’s Stochastics group and collaborates with academic/industry partners like Shell and VU University. His recent articles analyze tail behaviors in fork-join systems, power grid optimization under stochastic loads, and dynamic random graph structures. Research emphasizes bridging theoretical insights with practical applications in high-reliability systems.

• Stochastic Processes
• Queueing Theory
• Large Deviations
• +۶ مورد دیگر

Peter A.A.F. Wouters is an Assistant Professor in the Department of Electrical Engineering at Eindhoven University of Technology, specializing in Diagnostic Techniques for High-voltage Systems. His research focuses on developing monitoring systems for low-, medium-, and high-voltage power grids to help network owners establish scientific maintenance policies. Wouters investigates partial discharge detection techniques, electrical insulation systems, electromagnetic shielding, and resonances in high-voltage connections. His work has contributed to developing 'Smart Cable Guard,' an on-line diagnostic tool for medium-voltage grids. Research interests span high-voltage technology, grid diagnostics, and smart grid innovations. Publications focus on advanced monitoring techniques for power infrastructure, particularly electromagnetic methods for cable temperature and partial discharge detection. Recent work demonstrates strong emphasis on practical applications for grid reliability and maintenance optimization in medium-voltage networks.

• Electrical Engineering
• High-Voltage Systems
• Partial Discharge Detection
• +۳ مورد دیگر

Wesley Da Silva Costa is a Lecturer-Researcher at the Research Centre Biobased Economy, University of Groningen. His research focuses on Visible Light Communication (VLC), IoT systems, and optimization techniques such as genetic algorithms. He holds a PhD in Electrical and Electronic Engineering from the Federal University of Espirito Santo (2023). Key research areas include improving spectral and power efficiencies in VLC systems, optimizing mesh networks, and applying AI to communication frameworks. His work addresses challenges in low-power wireless networks, handover protocols, and hybrid IoT resource allocation. Recent publications (2021–2025) emphasize VLC system enhancements, IoT integration, and AI-driven solutions for industrial and healthcare applications. Collaborations span topics like chronobiological monitoring in extreme environments and sustainable communication technologies aligned with UN SDGs. Notable contributions include low-cost IoT diagnostic tools for tropical/Antarctic environments and optimized OFDM-VLC systems using multi-objective algorithms. His research bridges theoretical advancements with practical implementation in smart grids and medical monitoring.

• Visible Light Communication
• Internet of Things (IoT)
• Genetic Algorithm Optimization
• +۴ مورد دیگر

Vincent Groenhuis is a postdoctoral researcher at the Robotics and Mechatronics (EEMCS-EE-RAM) group , University of Twente. He holds a BSc, MSc, and PhD in Computer Science, Embedded Systems, and Medical Robotics respectively, all cum laude. His work focuses on image-guided medical robotics for bladder cancer diagnosis (Next-gen In-Vivo project) and MRI/ultrasound-guided breast biopsy (Sunram/MURAB projects), alongside innovations in pneumatic and electric stepper motors with two patents spun into companies. Education : BSc Computer Science (cum laude), MSc Embedded Systems (cum laude), PhD Medical Robotics (cum laude) Key Collaborations : Hamlyn Surgical Robot Challenge, European Robotic Forum, ICRA, BioRob, IROS His research integrates 3D-printed actuators with MRI safety protocols, enabling compact, reconfigurable systems for endovascular interventions and biopsy procedures. Article trends emphasize sensorless positioning , pneumatic computation , and multi-axis motor design . Awards include Best Video (Sunram 4, Hamlyn 2017) and Best Design (Sunram 3, Hamlyn 2016) . Supervised student projects span ultrasound needle steering , auto-rewind spool holders , and emergency disengagement mechanisms .

• Medical Robotics
• MRI-Guided Surgical Interventions
• Stepper Motor Technology
• +۳ مورد دیگر

Peter CJM van der Wielen serves as part-time professor of Reliability Grid Components with the Electrical Energy Systems group at Eindhoven University of Technology (TU/e) Department of Electrical Engineering. His primary professional role is with DNV GL - Energy, where he functions as Business Director for Power Failure Investigations and Principal Consultant in Power Cables. He earned his MSc in Electrical Engineering from TU/e in 2000 and completed his PhD in 2005 for research on on-line monitoring of partial discharges in medium voltage power cables, which evolved into the commercial "Smart Cable Guard" system. His academic credentials are complemented by extensive industry experience. His research focuses on grid component reliability , remaining life estimations , degradation and failure mechanisms , and power cable diagnostics . He initiates and coordinates research while teaching students on grid component reliability topics and lecturing in DNV GL training courses on power cables, condition assessment, and failure investigations. His publications from 2024-2025 demonstrate ongoing research activity in power cable monitoring, load profile scenarios, and grid utilization optimization, showing his continued relevance in electrical power systems research. Hidde Nijland Award (2014) for innovative research and development of groundbreaking technology for power cable networks As an active researcher with over 80 scientific publications, he regularly serves as a reviewer and provides plenary and invited speeches at international conferences. He maintains membership in various national and international technical committees, bridging academic research with practical industry applications in electrical power systems.

• grid component reliability
• remaining life estimations
• degradation and failure mechanisms
• +۵ مورد دیگر

Prof. Pavol Bauer is a distinguished faculty member at the College of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. With over 743 research outputs and 36 supervised works, his expertise spans power systems, renewable energy integration, and advanced battery technologies. Current projects: ECS4DRES (2024-2027), GROW (2024-2029), Power Quality of Energy Hubs (2023-2027) Key research areas: DC systems, energy storage, microgrid control, EV charging technologies His recent work focuses on transformer-enhanced battery diagnostics, voltage control in distribution networks, and resilient microgrid control algorithms. Notable awards include the 2022 PEMC Best Paper Award and 2023 IEEE Open Journal of Power Electronics Prize Paper. Research trends indicate growing emphasis on: Multi-carrier energy storage systems Grid-forming and grid-supporting technologies Power quality improvements in hybrid systems Smart control algorithms for distributed energy resources Scientific contributions: Best Paper Award - 2022 PEMC IEEE Open Journal of Power Electronics Prize Paper (2023) Active in editorial work (IEEE Transactions on Industrial Informatics) and international collaborations, with recent activities including EV charging technology tutorials and Dutch energy policy research through the NEON project (2020-2024).

• Electrical Engineering
• Renewable Energy
• Power Electronics
• +۴ مورد دیگر

Mauro R.U. Salazar Villalon is an Assistant Professor at Eindhoven University of Technology (TU/e) in the Department of Mechanical Engineering and co-affiliated with the Eindhoven AI Systems Institute (EAISI). He obtained his B.Sc. and M.Sc. from ETH Zurich, followed by a Ph.D. from ETH Zurich in collaboration with Ferrari Formula 1. After postdoctoral work at Stanford's Autonomous Systems Lab, he joined TU/e in 2020. Educational Background: B.Sc. & M.Sc. in Mechanical Engineering, ETH Zurich Ph.D. in Mechanical Engineering, ETH Zurich (with Ferrari F1) His research focuses on optimization models for cyber-socio-technical systems, addressing challenges in mobility, pandemics, and material design. He develops methods for sustainable transportation systems, including incentive schemes for user behavior alignment. Recent trends in his publications span hydrogen-based hybrid aero engines, ride-pooling network flows, battery-electric truck infrastructure, and electric vehicle powertrain optimization. His work integrates advanced mathematical modeling with real-world applications. Scientific Awards: ETH Medal (Master & PhD theses) Best Student Paper Awards (2018, 2022) Best Teacher Award (2021) Nominated for TU/e Young Researcher Award (2022) IEEE VPPC 2024 Best Paper Award He contributes to projects like Model Predictive Pandemic Control and National Growth Fund initiatives, while teaching courses on powertrain design, engineering optimization, and optimal control. Collaborations extend to Stanford University and the Ferrari Formula 1 team.

• Optimization Models
• Systems and Control
• Cyber-Socio-Technical Systems
• +۳ مورد دیگر

Guus Pemen is a Full Professor at Eindhoven University of Technology (TU/e), specializing in the Department of Electrical Engineering. He holds chairs in the Electrical Energy Systems group and the EAISI Foundational program, focusing on high-tech systems. Education: BSc in Electrical Engineering, College of Advanced Technology Breda (1986) PhD, Eindhoven University of Technology (2000) Pemen's research spans pulsed power technology, smart grids, and transient plasma applications. His work includes atmospheric pressure plasma generation for environmental and medical uses, as well as sustainable energy systems. Recent projects highlight nanosecond-pulsed methods for air purification, fertilizer production, and electromagnetic shielding. His publications emphasize repetitive pulsed power systems , solid-state transformers , and plasma-driven industrial applications . Collaborations with IEEE and EU initiatives underscore his global influence. Professional Affiliations: Board Member, Dutch Power Member, IEEE Nuclear and Plasma Sciences Society Member, Cigre Member, International Bioelectrics Consortium Member, International Society on Pulsed Power Applications

• Smart Grids
• Power Grid Components
• Power Quality
• +۱۲ مورد دیگر

Dr. Ivan Kryven is an Associate Professor in Mathematical Modeling at the Mathematical Institute, Faculty of Science, Utrecht University. His research spans graph theory, probability, numerical methods for dynamical systems, partial differential equations, stochastic analysis, and randomized algorithms, with applications primarily in chemistry and materials science. His expertise includes: Mathematical Modeling Stochastic Modeling Discrete Mathematics Graph Theory Differential Equations Statistical Physics Dr. Kryven's research focuses on the mathematical foundations of complex systems, with particular interest in network science, random graphs, and their applications to polymer science and materials engineering. His work often bridges discrete and continuous mathematical objects, revealing fundamental connections across different domains. Much of his research has practical applications in chemistry and materials science, with recent efforts expanding into complex societal systems and epidemiology. His scientific contributions demonstrate strong trends in percolation theory, random graph representations of physical processes, and computational methods for analyzing complex networks. His work connects theoretical mathematics with practical applications in materials science, epidemiology, and complex systems analysis. His notable scientific contributions include publications in Nature Communications, Physical Review E, and Scientific Reports, with research spanning from polymer networks to epidemic modeling and complex systems analysis. Dr. Kryven has supervised numerous students through their academic journey: PhD Students: Ruben Hendriks, Mike de Vries, Jochem Hoogedijk, Niek Mooij, Verena Schamboeck (now at Austrian Power Grid), Yuliia Orlova (now postdoc at University of Amsterdam) Master Students: Yeyang Hu, Josanne Verheule, Hannah Onverwagt, Niels Scholte, Fleur Slegers, Mike de Vries, Niek Mooij, Camillo Schenone, Andi Lin, Thomas Bakx, Nynke Brouwer, Yaïr Hein, Frits Verhagen, Femke Ieperen Postdoc: Rik Versendaal (now faculty at TU Delft) He is actively involved in the Mathematics of Complexity research theme at Utrecht University and participates in outreach activities through µ-Open, providing opportunities for student engagement in mathematical research.

• Mathematical Modeling
• Stochastic Modeling
• Discrete Mathematics
• +۷ مورد دیگر

Mauro Salazar is an Assistant Professor in the Control Systems Technology section of the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), with co-affiliations at the Eindhoven AI Systems Institute (EAISI) in both Health and Mobility domains. He leads his own research group focused on optimization models and methods for systems and control. His educational background includes: B.Sc. and M.Sc. in Mechanical Engineering from ETH Zürich (2012, 2015) Master thesis conducted at EPFL's Automatic Control Lab Ph.D. in Mechanical Engineering from ETH Zürich (2019) in collaboration with Ferrari Formula 1 Postdoctoral Scholar at Stanford University's Autonomous Systems Lab (2019-2020) Salazar's research centers on optimization models for multi-scale cyber-socio-technical systems with applications spanning mobility systems, pandemic response, and material design. His work bridges theoretical optimization with practical implementation, particularly in sustainable mobility solutions where he develops methods for optimal design and operation of transportation systems from single vehicles to entire networks. He investigates mesoscopic user behavior modeling and designs incentive schemes to align individual and system-level objectives in transportation networks. His recent publications (2025) demonstrate a strong focus on sustainable mobility systems, with recurring themes in electric vehicle fleet management, battery degradation modeling, ride-pooling algorithms, and energy management for transportation electrification. His work spans multiple disciplines including automotive engineering, control systems, energy management, and public health, characterized by rigorous mathematical optimization approaches applied to real-world challenges. His scientific recognitions include: Two ETH Medals (for Master's and PhD theses) Best Student Paper awards at ITS 2018 and ECC 2022 Best Teacher Award (2021) Nomination for TU/e Young Researcher Award (2022) Salazar actively advises research projects and secured funding through the Dutch Research Council's NEON project (Crossover research program, Grant 17628). His teaching portfolio includes Optimal Control and Reinforcement Learning, Engineering Optimization, and Advanced Full-Electric and Hybrid Powertrain Design. He leads the 'Group Salazar' within the Control Systems Technology section and contributes to EAISI Health and Mobility initiatives.

• Optimization Models
• Systems and Control
• Cyber-Socio-Technical Systems
• +۷ مورد دیگر