Find Academic Supervisors

• Adversarial Machine Learning
• Anomaly Detection
• Graph Convolutional Network
• +7 more

Tianjin Huang is a University Researcher in the Mathematics and Computer Science school at Eindhoven University of Technology, focusing on deep learning, adversarial training, and sparsity. Their work spans traffic prediction, fairness in AI, and robustness evaluation. Specializes in Adversarial Machine Learning and Spatiotemporal Graph Modeling Develops novel frameworks for Traffic Prediction under real-world data challenges Explores Sparse Neural Networks for efficiency and performance Recent research trends include 4-bit training stability for LLMs, confusional spectral regularization for fairness, and principal eigenvalue methods for certified robustness. Their 2025 publications demonstrate cutting-edge work in adversarial training, graph neural networks, and low-bit optimization. Scientific recognition includes the Best Paper Award of LoG 2022 for collaborative work on sparse neural network training. They collaborate with institutions across Europe and Asia, focusing on trustworthy AI systems.

Frank ThuijsmanView profile

Professor

• Game Theory
• Evolutionary Game Theory
• Operations Research
• +4 more

Frank Thuijsman is a Full Professor of Strategic Optimization and Data Science at Maastricht University's Department of Advanced Computing Sciences. He has held this position since 2016, following roles as Associate Professor (1995–2016) and Assistant Professor (1990–1995) at the same institution. His international engagements include visiting positions at UCLA, Hebrew University of Jerusalem, and fellowships at the Institute for Advanced Studies in Jerusalem. Education: Ph.D. in Mathematics, Maastricht University (1989) M.Sc. in Mathematics (with teaching qualification), Radboud University Nijmegen (1985) Research Focus: Thuijsman specializes in dynamic and evolutionary game theory with applications spanning economics, biology, and oncology. His work integrates operations research, stochastic processes, and mathematical modeling to address complex systems such as cancer treatment optimization, public goods games, and federated learning. A key theme is the translation of theoretical frameworks into practical solutions for healthcare and environmental policy. Publication Trends: His recent articles emphasize interdisciplinary approaches, particularly in cancer research (e.g., modeling tumor evolution and treatment resistance) and computational optimization (e.g., AGV scheduling and federated learning). Methodologically, they showcase advanced game-theoretic applications, spatial modeling, and adaptive control systems. Awards & Honors: Dual Silver Reimagine Education Awards (2018) for KE@Work program innovation Teaching Prize from FH Aachen (2013) Wynand Wijnen Education Prize nominee (2014, 2017, 2024) Leadership & Projects: Thuijsman founded the KE@Work program, connecting 200+ students with 70+ businesses. He currently leads a World Bank-funded initiative to develop a Computer Science curriculum at the University of Burundi. As Secretary-Treasurer of the Game Theory Society, he oversees global academic collaborations. His team at the Mathematics Centre Maastricht focuses on evolutionary dynamics and AI applications.

• Electrical Engineering
• Renewable Energy
• Power Electronics
• +4 more

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).

• Formal Argumentation
• Explainable Artificial Intelligence
• Logic
• +2 more

Dr. Annemarie Borg is an Assistant Professor at the Faculty of Science , Utrecht University, specializing in Responsible AI within the Responsible AI Group . Her research bridges formal argumentation theory with real-world AI applications. Research Focus: Formal argumentation frameworks Explainable artificial intelligence Logic-based AI in legal contexts Dynamic argumentation models Human-centered AI design Publications highlight her work on: Contrastive explanations in argumentation Stability and relevance in incomplete frameworks Case-based reasoning for legal AI Hypersequent-based logical argumentation Agent-based modeling of scientific biases Contact: a.borg@uu.nl

• Geophysics
• Tectonics
• Lithosphere Modeling
• +4 more

Dr. Magdala Tesauro is a Visiting Professor in the Tectonics Group of the Department of Earth Sciences at Utrecht University . Her research focuses on geophysical modeling of lithospheric and mantle structures, integrating gravity, seismic, geodetic, and geological data to link deep Earth processes with surface dynamics. Key research areas : Geophysics, Tectonics, Lithosphere Modeling, Mantle Dynamics Current collaborations : U.S. Geological Survey (global crustal models) Her work addresses thermal and rheological lithosphere structure , distinguishing mantle compositional vs. thermal effects to understand continental evolution. She contributes to Pathways to Sustainability initiatives, particularly Energy Transition projects. Recent publications include 3D lithospheric models for Australia, Africa, and South America , numerical analyses of seismic attenuation , and cratonic basin dynamics . Her expertise spans global-scale geodynamic modeling and regional tectonic studies in the Tyrrhenian Sea and Congo Basin .

• Materials Science
• Chemical Engineering
• Catalysis Engineering
• +9 more

C. Huang is an active researcher in the fields of materials science and chemical engineering, with particular expertise in advanced materials processing, energy systems, and sustainable technologies. Currently affiliated with the Applied Sciences division and Chemical Engineering/Catalysis Engineering department, Huang's research spans from fundamental materials research to applied energy system optimization. Research Focus Areas: Inkjet printing of advanced materials including metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) Process design and optimization for additive manufacturing technologies Hydrogen production technologies with emphasis on alkaline electrolysis systems Renewable energy integration and grid-scale energy storage solutions Microgrid optimization and control strategies Thermal management and heat recovery systems for energy applications Huang's recent work demonstrates a strong interdisciplinary approach, combining materials science expertise with energy systems engineering. The research output shows significant contributions to both fundamental understanding of material processing techniques and practical applications in renewable energy systems. The 2025 review article in ACS Applied Materials and Interfaces represents a comprehensive analysis of inkjet printing technologies for advanced porous materials, while the extensive Google Scholar publications showcase expertise in hydrogen technology and energy system optimization. Collaboration Network: The research profile indicates active collaboration with international partners, as evidenced by the multi-institutional authorship on the 2025 review article. The work spans both experimental materials research and computational modeling approaches, suggesting a well-rounded research program that bridges theoretical understanding with practical applications.

Nicoletta NappoView profile

Researcher

• Geotechnical Engineering
• Remote Sensing
• Subsidence Monitoring
• +4 more

Nicoletta Nappo is a Postdoctoral Researcher at the Faculty of Civil Engineering and Geosciences of Delft University of Technology and Junior Consultant–Researcher at Deltares. Her academic journey includes a PhD in Environmental Sciences from the University of Insubria (Italy), where she specialized in remote sensing techniques for monitoring subsidence and landslide impacts on constructions. She has professional experience at the University of Twente and Sapienza University of Rome and holds qualifications as a Civil Environmental Engineer with an MSc in Building Engineering and Architecture. Her research focuses on geotechnical engineering applications, particularly subsidence monitoring in the Netherlands through the Living on Soft Soil (LOSS) Project. Dr. Nappo specializes in assessing road damage due to landslides and analyzing vulnerability of constructions subjected to ground instabilities. Her methodological approach combines UAV-based photogrammetry, remote sensing techniques, and GIS integration for infrastructure monitoring. Her publication record demonstrates consistent contributions to Engineering Geology, International Journal of Disaster Risk Reduction, and Remote Sensing journals. Dr. Nappo's recent work shows a clear progression toward developing decision support frameworks for subsidence risk reduction in urban areas, with publications extending through 2025. Her research bridges theoretical geotechnical analysis with practical engineering solutions for infrastructure protection in geohazard-prone environments. She serves as a reviewer for the Landslides international journal, contributing to scholarly discourse in her field. Her professional activities include: Active participation in the Living on Soft Soil (LOSS) Project Development of UAV-based monitoring techniques for infrastructure Integration of multi-source data for vulnerability assessment Consulting work through Deltares Dr. Nappo maintains regular availability (Monday-Wednesday) at her office in Building 23, Stevinweg 1, Delft, where she continues to advance research at the intersection of geotechnical engineering and remote sensing applications.

Rob JanssenView profile

Professor

• Value-Based Health Care
• Orthopedic Surgery
• Pediatric ACL Injuries
• +5 more

Prof. Dr. Rob Janssen is a lecturer in Value-Based Health Care at Fontys University of Applied Sciences and a part-time professor at Eindhoven University of Technology. He is an orthopedic surgeon specializing in knee disorders at Máxima Medical Center, Eindhoven/Veldhoven, and serves as course director for international orthopedic training programs. His work bridges clinical practice, research, and education, focusing on measurable value-driven healthcare and interprofessional collaboration. Dr. Janssen’s research interests span Value-Based Health Care implementation Pediatric and adult ACL injury management Biomechanical analysis of knee structures Cartilage regeneration techniques Digital health applications Interprofessional collaboration in healthcare His recent publications highlight trends in graft failure, organoid technology, and wearable sensor systems for knee instability. He contributes to national guidelines for knee care and collaborates with institutions such as Maastricht University, Aarhus University, and the ESSKA Pediatric ACL Monitoring Initiative (PAMI). His role as a residency instructor and guest lecturer underscores his commitment to medical education and postgraduate training.

Arthur de JongView profile

Assistant Professor

• Single-molecule biosensing
• Medical diagnostics
• Biosensors
• +7 more

Arthur de Jong is an Assistant Professor at Eindhoven University of Technology (TU/e) working in the Department of Applied Physics and Science Education. He leads research in the Molecular Biosensing for Medical Diagnostics group, a multidisciplinary team within the Institute for Complex Molecular Systems (ICMS). Develops next-generation single-molecule biosensors Focuses on continuous patient monitoring applications Specializes in colloidal particle-based sensing systems His research combines colloid chemistry , molecular engineering , and microfluidics to create non-fouling biosensor surfaces. Recent work explores: Stochastic heterogeneity in single-molecule sensors DNA-PAINT for surface density analysis Machine learning-enhanced biomedical signal processing Antibody fragment-based competition assays Current educational contributions include courses in optics, subatomic physics, and molecular biosensing technologies.

Sem BorstView profile

Professor

• Stochastic Networks
• Performance Evaluation
• Resource Allocation Algorithms
• +6 more

Dr. Sem Borst is a Full Professor in Stochastic Operations Research at the Department of Mathematics and Computer Science, Eindhoven University of Technology (TU/e), holding this position since 1998. He maintains a part-time affiliation with Bell Labs' Mathematics of Networks and Systems research department since 1995. His academic background includes an MSc in Applied Mathematics (University of Twente, 1990) and a PhD (Tilburg University, 1994), with visiting appointments at Cambridge University's Statistical Laboratory (1994). Education: MSc (University Twente), PhD (Tilburg University) Affiliations: TU/e (1998-present), Bell Labs (1995-present) His research focuses on theoretical and algorithmic aspects of large-scale stochastic networks, particularly how local interactions influence macroscopic behavior. This work provides critical insights for designing low-complexity, distributed resource allocation algorithms that achieve near-optimal global performance. Key application domains include communication networks, call centers, and content distribution systems. Publication trends reveal consistent contributions to network optimization through: (1) distributed resource allocation algorithms, (2) wireless/wireline network performance modeling, (3) caching strategies for content delivery networks, and (4) stochastic stability analysis in dynamic environments. His methodological framework integrates Markov Random Fields, Gibbs Measures, and Processor-Sharing models. Academic roles include editorial board memberships at IEEE/ACM Transactions on Networking , Mathematical Methods of Operations Research , and Queueing Systems . Teaching activities at TU/e cover graduate courses in Queueing Systems, Stochastic Processes, and Risk/Reliability Analysis.

Frits SpieksmaView profile

Professor

• Operations Research
• Combinatorial Optimization
• Scheduling
• +12 more

Frits Spieksma is a Full Professor and Chair of Combinatorial Optimization in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His work bridges theoretical combinatorial optimization with practical applications in logistics, healthcare, and sports scheduling. Education: MSc in Econometrics, University of Groningen (1987) PhD in Operations Research, Maastricht University (1992) Research Interests: Spieksma specializes in operations research, particularly combinatorial optimization. His research spans scheduling, routing, clustering, and interdisciplinary applications in economics, healthcare (e.g., liver allocation), and sports (e.g., tournament design). He emphasizes data-driven solutions to real-world logistics challenges. Advising & Editorial Roles: He has supervised over 15 PhD students and served on editorial boards of Operations Research Letters , INFORMS Transactions on Education , and other journals. He founded the EURO Working Group OR in Sports and contributes to the MathSports International organizing committee. Teams & Collaborations: Spieksma leads the Combinatorial Optimization group at TU/e, collaborating on healthcare logistics, sports scheduling, and algorithm design for dynamic graphs. His work integrates discrete mathematics, computer science, and management science.

Erwin BenteView profile

Associate Professor

• Photonics
• Semiconductor Lasers
• Photonic Integrated Circuits
• +3 more

Erwin Bente is an Associate Professor at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), specializing in laser-based photonic integrated circuits. He leads research within the Photonic Integration group and contributes to the Center for Care & Cure Technology Eindhoven. MSc in Physics (1984) and PhD in Laser Spectroscopy (1989) from Vrije Universiteit Amsterdam Industrial researcher (1988–1994) and team leader at University of Strathclyde (1996–2001) European chair of IEEE International Semiconductor Laser Conference technical program committee His research focuses on semiconductor laser design, photonic integration, and optical sensing. Key areas include: Laser dynamics and feedback robustness High-resolution beamforming with grating antennas Frequency stabilization techniques (e.g., Pound-Drever-Hall) Extending wavelength ranges for medical and sensing applications On-chip calibration of optical phased arrays Monolithic integration of tunable lasers and amplifiers Recent publications (2024–2025) demonstrate advancements in: Indium phosphide (InP) photonic circuits for sensing Beam steering with sub-degree resolution Frequency comb stabilization for metrology Hybrid silicon nitride metalens fabrication On-chip calibration algorithms for optical phased arrays Applications in optical coherence tomography and LiDAR

G.C.H.E. de CroonView profile

Researcher

• Robotics
• Aerospace Engineering
• Autonomous Systems
• +7 more

G.C.H.E. de Croon is a Senior Researcher in the Control & Simulation group at Delft University of Technology's Faculty of Aerospace Engineering . His work focuses on: Autonomous drone control systems Bioinspired robotics Visual-inertial navigation Neuromorphic computing for UAVs Tilt-rotor aircraft design Swarm robotics Recent publications highlight advancements in flapping-wing robots and neuromorphic attitude estimation. His research combines biological insights with aerospace engineering to solve complex autonomy challenges. Notable scientific recognitions include: NWO Vici Grant (2024) for drone autonomy research Autonomous Drone Racing Championship winner (2025) Multiple best paper awards (2015, 2021) He actively organizes academic events like the International Micro Air Vehicle Conference and has supervised 17 research projects. Media coverage spans AI drone racing breakthroughs (2025), swarming technology (2024), and maritime landing systems (2025 PhD thesis data).

Koen KokView profile

Professor

• Smart Grids
• Artificial Intelligence in Energy Systems
• Distributed Energy Systems
• +3 more

Koen Kok is a Full Professor in the Electrical Engineering Department at Eindhoven University of Technology , specializing in Intelligent Energy Systems . He pioneers research in applying distributed software technologies and AI to modernize electricity systems, with a focus on edge computing, market trade, and grid stability. Dutch Research Council (NWO) Perspective Grant (2021) for MegaMind Co-PI in EU projects: ValueFlex, EcoGrid.EU, SmartHouse/SmartGrid Co-author of 2025 publications on MARL algorithms, congestion management, and TSO-DSO coordination Recipient of Blue Tulip and Sustainia100 awards His research bridges technical and ethical aspects of AI in energy systems, emphasizing open-source deployment and commercialization. Current projects include hybrid local electricity markets, grid-edge data integration (MEGAMIND program), and congestion management frameworks combining tariffs and contracts. Recent work demonstrates: Attention-MADDPG algorithm outperforming peers in LEM simulations Seasonal peak tariffs' effectiveness in mitigating load synchronization Integrated TSO-DSO coordination for DER flexibility utilization He leads the MegaMind research program and contributes to EU policy alignment through technical-economic analysis.

• Nonlinear Analysis
• Dynamical Systems
• Applied Mathematics
• +7 more

Hermen Jan Hupkes is a Professor of Non-linear Analysis at the Mathematical Institute of Leiden University . His research bridges mathematical analysis with dynamical systems , focusing on discrete media and reaction-diffusion equations . Key Research Areas: Nonlinear stability of travelling waves in discrete and stochastic systems Functional differential equations of mixed type (MFDEs) in economics and biology Curvature-driven wave propagation on lattices Numerical algorithms for discrete reaction-diffusion models Recent Publication Trends emphasize nonlinear dynamics across discrete spatial structures , including stochastic stability , economic agent-based models , and biological pattern formation . His work on lattice differential equations and MFDEs has advanced tools like exponential dichotomies and Lin's method in discrete settings. Awards: Vici Grant (2025) for innovative research in non-linear analysis Advising and Collaborations include mentoring PhD candidates such as Christian Hamster and Mia Jukic, as well as interdisciplinary collaborations with computational imaging experts and biophysicists.