Find Academic Supervisors

M.W.N. BuxtonView profile

Associate Professor

• Mining Engineering
• Geosciences
• Sensor Technology
• +3 more

Dr. Mike Buxton is an Associate Professor and Section Head of Resource Engineering at the Faculty of Civil Engineering and Geosciences, Delft University of Technology. He holds a PhD in carbonate sedimentology and has extensive industry experience in mining exploration, technical due diligence, and project management. His research focuses on sensor-based material characterization for mining applications, including ore-waste separation, exploration drilling, and pre-processing waste discrimination. Education: PhD in Carbonate Sedimentology (1992), Postdoctoral research at Rand Afrikaans University, followed by 16 years in the South African mining industry. Currently supervises 3 PhD students and leads EU-funded projects like REAL TIME MINING and STOICISM. Research interests include sensor technologies, mineral processing optimization, and sustainable post-mining landscapes. He is a Fellow of the Geological Society of South Africa. Recent projects: Sensor integration for real-time mining, calcined industrial minerals characterization, and material fingerprinting for process improvement. His work spans collaborations with international researchers, industry partners, and institutions like RWTH Aachen and Aalto University. Grants & Projects: European FP7 Project STOICISM (2011), Horizon 2020 REAL TIME MINING (gold ore separation), and TRIM4Post-Mining (sustainable post-mining transitions). Supervised over 15 MSc/BSc theses on topics ranging from LIBS ore analysis to hydraulic fracturing. Labs/Teams: Leads the Resource Engineering Section, collaborates on interdisciplinary teams for sensor-based mining solutions, and contributes to the European EMMEP program.

Erik P. de VinkView profile

Associate Professor

• Formal Methods
• Software Product Lines
• Probabilistic Systems
• +6 more

Erik P. de Vink is an Associate Professor at Eindhoven University of Technology (TU/e), Department of Mathematics and Computer Science. He also serves as an Associated Research Fellow at CWI, the Dutch National Research Institute for Mathematics and Computer Science. His research focuses on formal methods, software product lines, dynamic system adaptation, and probabilistic process algebra. He has held roles such as Treasurer of Formal Methods Europe and organized symposia like the International Symposium on Formal Methods (2018). His academic background includes a PhD from VU Amsterdam, a Senior Researcher position at KPN, and prior teaching at Leiden University. Key research interests include formal modeling of software systems using tools like mCRL2 and Prism, analysis of feature-behavior interactions in software product lines, and validation techniques for dynamic system adaptation. He has co-promoted 9 PhD students in areas like denotational semantics, security, and probabilistic process algebra. His work integrates theoretical computer science with practical applications in distributed systems and concurrency. Recent articles explore topics such as formal methods education, bisimulation in polyhedral models, and probabilistic process analysis. He contributes to open-source tool development (e.g., mCRL2) and has published extensively in journals like Formal Aspects of Computing and Journal of Logical and Algebraic Methods in Programming .

Faridaddin VahdatikhakiView profile

Associate Professor

• Digital Twin
• Urban Heat Island Phenomenon
• Construction Technology
• +5 more

Faridaddin Vahdatikhaki is an Associate Professor at the University of Twente's Faculty of Engineering Technology, specializing in Civil Engineering and Geosciences. His research focuses on digital twin technologies, urban heat island mitigation, construction automation, and virtual reality applications in education and industry. He has contributed over 74 publications with a Scopus h-index of 1263 and 17 h-index, demonstrating significant academic impact. Research interests include: Integration of digital twins in infrastructure management Data-driven analysis of urban microclimates Operator training systems for construction equipment Technological mediation in construction processes Key contributions include: Development of VR-based training simulators for heavy equipment operators Pioneering semantic digital twin frameworks for road distress management Analysis of urban heat island effects using street typology models He received prestigious awards including the ECIU European award for Innovation in Teaching (2017) and multiple teaching excellence recognitions from the University of Twente. His work bridges academia and industry through collaborations with institutions like Chalmers University of Technology and the Digital Society Institute.

Shahab Shariat TorbaghanView profile

Assistant Professor

• Sustainable Energy
• Operations Research
• Optimization
• +6 more

Dr. Shahab Shariat Torbaghan is a tenure-track Assistant Professor of Smart Grids in Urban Energy and Water Systems at Wageningen University & Research. His expertise spans mathematical models, operations research, decision support systems, optimization, stochastic processes, sustainable energy, green infrastructure, machine learning, and energy transition. He holds a B.Sc. in Electrical Engineering from the University of Tehran (2008), an M.Sc. from Chalmers University of Technology (2010), and a Ph.D. from Delft University of Technology (2015). He previously worked as a Postdoctoral Fellow at Eindhoven University of Technology (2015–2017) and as a Research Scientist at VITO/EnergyVille in Belgium (2017–2020). His research focuses on applying sequential decision-making under uncertainty to water and energy infrastructure modeling and optimization, leveraging convex optimization, combinatorial optimization, and machine learning (deep learning, reinforcement learning). He collaborates with the City of Amsterdam, AMS Institute, water companies, and academic partners like HZ University of Applied Sciences and Utrecht University. He participates in European H2020 projects such as Magnitude, FHP, and Coordinate. Dr. Torbaghan teaches courses including 'Sustainability Transitions,' 'Data-Driven Environmental Modelling and Optimization,' and 'Managing Urban Environmental Infrastructure.' His work intersects urban infrastructure transitions, energy storage arbitrage, hydrogen production, and market-based mechanisms for flexibility provision. He is a Senior Member of IEEE and part of INFORMS and the GO-P2P community.

• Sensory Science
• Eating Behavior
• Food Texture
• +5 more

Dr. Marlou Lasschuijt-Schipper is an Assistant Professor in the Sensory Science and Eating Behaviour group at Wageningen University & Research. Her research focuses on the interplay between sensory, physiological, and behavioral factors influencing eating patterns, particularly in clinical and healthy populations. She holds a PhD from Wageningen University, where her thesis explored satiation mechanisms related to sensory and physiological systems. Her postdoctoral work involved developing novel technologies to measure eating behavior in adults and children. Key research interests include food texture effects on metabolism, early-life feeding practices, eating behavior in children with Down syndrome and autism spectrum disorders, and interventions to improve dietary choices. She leads projects on automated dietary assessment tools and video-based behavioral analysis. Her 23+ publications span topics like eating rate impacts on energy intake, bite-counting algorithms from videos, and neurophysiological mechanisms of satiation. Notable contributions include systematic reviews on cephalic phase responses and eating behavior video analysis. She collaborates with interdisciplinary teams on innovations in nutrition assessment and behavioral interventions. Lasschuijt-Schipper is affiliated with the Human Nutrition and Health subdivision and actively involved in 5 research projects addressing obesity prevention, child nutrition, and sensory exposure optimization. Her work bridges clinical nutrition, technology, and behavioral science to promote healthier eating habits across lifespans.

Liesbeth ZandstraView profile

Professor

• Food Sciences
• Consumer Behavior
• Sensory Sciences
• +5 more

Liesbeth Zandstra is a Special Professor (part-time) in Food Reward and Behaviour at Wageningen University's Department of Human Nutrition and Health. She also serves as Science Leader Reward & Behaviour at Unilever Foods Innovation Centre. Her research focuses on making healthy and sustainable food choices more appealing through behavioral and sensory science, emphasizing consumer preferences, food perception, and long-term dietary habits. She holds a PhD in food acceptance and appetite regulation from Wageningen University (2000) and has extensive industry experience at Unilever R&D. Key projects include the NUDGIS initiative on healthy food nudging and studies on plant-based alternatives and olfactory influences on food choice. Education : PhD in Food Science (Wageningen University, 2000). Post-PhD roles included senior positions at Unilever R&D and leadership in program management. Research Interests : Food reward mechanisms, consumer behavior, sensory science, emotional responses to food, sustainable diets, and the role of multisensory contexts in food choice. Her work bridges academic research and industry innovation, addressing challenges like reducing meat consumption and improving health through sensory design. Projects : CSC Project (2021–2024): Healthy odors for sustainable food choices. SENESCYT Project (2018–2022): Emotional measures in food acceptance. TKI Agri & Food Project (2018–2020): Breaking unhealthy eating habits. NUDGIS Project (2014–2019): Nudging healthier food choices. Advising & Grants : Collaborates with industry partners (e.g., Unilever, Symrise) and academic institutions (Utrecht University, FrieslandCampina). Her work is supported by grants from Wageningen TKI, NWO, and private-sector initiatives. Labs/Teams : Leads interdisciplinary teams at Unilever's Wageningen Innovation Centre and collaborates with Wageningen Food & Biobased Research and Noldus Information Technology.

Ayse Sena EruguzView profile

Assistant Professor

• Operations Research
• Supply Chain Management
• Inventory Control
• +4 more

Ayse Sena Eruguz is an Assistant Professor at the Department of Operations Analytics, School of Business and Economics, Vrije Universiteit Amsterdam. She previously held positions as an Assistant Professor at Erasmus University Rotterdam (2020-2023) and a postdoctoral researcher at Eindhoven University of Technology (2017-2020). She earned her Ph.D. in Industrial Engineering from CentraleSupélec (France) in 2016. Her research focuses on operations research applied to supply chains, inventory control, sustainability, and maintenance systems, with collaborations in high-tech and maritime industries. Her teaching includes courses on E-Commerce Supply Chain Management, Procurement and Supply Management, and Sustainable Operations. She leads the 'Startersbeurs - Eruguz' research project (2023-2027), investigating maintenance optimization strategies for multi-component systems. She contributed to datasets such as the 'Maintenance Optimization for Multi-Component Systems with a Single Sensor' (2024). Research trends emphasize sustainability integration, e-commerce logistics challenges, and food waste reduction through inventory strategies. Her work bridges theory and practice, addressing real-world issues in global supply chains and maintenance systems.

• Operations Research
• Logistics
• Simulation
• +7 more

Wouter J.A. van Heeswijk is an Assistant Professor in the Department of Industrial Engineering & Business Information Systems at the University of Twente, Faculty of Engineering Technology. His research lies at the intersection of operations research, logistics, and artificial intelligence, with a strong focus on decision-making under uncertainty. University: University of Twente School: Faculty of Engineering Technology Department: Industrial Engineering & Business Information Systems Academic Rank: Assistant Professor His research interests include logistics, simulation, dynamic programming, reinforcement learning, urban mobility, and human-centered automation . He applies advanced computational methods to real-world challenges in transportation, disaster response, and business process optimization. His work often integrates machine learning with optimization techniques to build adaptive, data-driven decision support systems. The most recent articles reflect a strong trend toward applying reinforcement learning and simulation-based optimization in complex logistics and urban systems. Topics include traffic equilibrium prediction, post-disaster inventory allocation with UAVs, and self-organizing transportation networks. His publications span high-impact journals and conferences in operations research and computer science. Scientific Awards and Recognitions: No specific awards mentioned in the provided text. Advising and Grants: Dr. van Heeswijk supervises graduate students, including PhD candidates such as R. Bosch. While specific grants are not listed, his active publication record across multiple years and diverse topics suggests ongoing research funding. He collaborates extensively with colleagues like M.R.K. Mes and others in the logistics and operations research domain. Labs and Research Teams: He is part of a research group focused on logistics, simulation, and decision support systems within the Industrial Engineering department. His work contributes to the broader fingerprint of ‘Logistics’, ‘Simulation’, and ‘Reinforcement Learning’ at the university.

Ivo AdanView profile

Professor

• Stochastic Operations Research
• Queueing Models
• Manufacturing Systems
• +4 more

Ivo Adan is a Full Professor at Eindhoven University of Technology (TU/e) in the departments of Operations, Planning, Accounting and Control (Industrial Engineering & Innovation Sciences) and Dynamics and Control (Mechanical Engineering). He holds the Manufacturing Networks chair and has held visiting roles at the University of North Carolina and part-time positions at the University of Amsterdam. His research focuses on stochastic operations research, queueing models, and mathematical analysis of manufacturing systems, warehousing, and transportation systems. Adan received both his MSc and PhD in Mathematics from TU/e. He serves on editorial boards for Queueing Systems and Probability in the Engineering and Informational Sciences , and leads Beta, the national network for Operations Management and Logistics. He is a Senior Fellow of Eurandom and has contributed significantly to industry applications through his work on semiconductor manufacturing and logistics optimization. His research explores multi-dimensional Markov processes, variability management in manufacturing, and efficient modeling techniques. Recent work includes optimizing maintenance planning with reinforcement learning, aggregated simulation models for safety stocks, and autonomous mobile robotics in manufacturing systems. Key Awards: Senior Fellow of Eurandom, Research Director of Beta Education: MSc and PhD in Mathematics from TU/e Labs/Teams: EAISI High Tech Systems, Operations Planning & Control group Adan advises on semiconductor simulation studies, poultry processing optimization, and biomanufacturing yield improvements. His interdisciplinary approach bridges theoretical stochastic models with practical industrial challenges.

Leyla ÖzkanView profile

Associate Professor

• Process Control
• Predictive Control
• Chemical Systems Modeling
• +7 more

Leyla Özkan is an Associate Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). She leads the Smart Process Operations and Control Lab, focusing on improving industrial chemical systems through mathematical modeling and control theory. Her work bridges academia and industry, with collaborations involving GSK, Pfizer, Syngenta, and Astrazeneca. Academic Background : BSc/MSc in Chemical Engineering (Bogazici University), PhD in Chemical Engineering (Lehigh University) Research Focus : Predictive control, real-time optimization, process monitoring, and integration of process design with instrumentation Projects : FlexEchem, SmartFood, PRINTYOURFOOD, AMV ELC Energy Learning Community Her research combines theoretical advancements with practical implementations in diverse domains including pharmaceutical crystallization, electrochemical plants, additive manufacturing, and food industry applications. She has contributed to sensor-based control systems and sustainable process optimization aligned with UN SDGs. Scientific Award : Journal of Process Control Paper Prize (2020) Leadership Roles : Chair of PSE-NL Network, Associate Editor for Journal of Process Control

Wan J. FokkinkView profile

Professor

• Model-Based System Engineering
• Supervisory Control Synthesis
• Distributed Algorithms
• +7 more

Wan J. Fokkink is a Full Professor ("Professor") at Eindhoven University of Technology (TU/e) in the Faculty of Mechanical Engineering , specifically the Control Systems Technology Group. He also holds a concurrent position as Professor of Theoretical Computer Science at Vrije Universiteit Amsterdam since 2004. His research bridges mechanical engineering and computer science, focusing on formal methods for software development in civil infrastructure and logistics. Education : MSc in Mathematics (1990, University of Amsterdam); PhD in Computer Science (1994, University of Amsterdam) Professional Affiliations : Embedded Systems Group (CWI, 2000-2004); Part-time Professor on Stochastic Design (TU/e, 2012-2016); Co-founder and former vice-chair, IFIP Working Group 1.8 His research interests include: Automated synthesis of safety-critical control software using formal methods Verification of communication protocols and distributed algorithms Application of process algebra and modal logic to real-world systems Model-based development of PLC code for civil engineering structures (bridges, dams, tunnels) Collaboration with semi-industry partners like Rijkswaterstaat and Vanderlande Industries Recent research trends show interdisciplinary focus on: Supervisory control theory applied to logistics and civil infrastructure Abstraction techniques in cyber-physical systems Optimization and fault-tolerance in automated control He actively contributes to UN Sustainable Development Goals through applications in smart infrastructure.

Christian Portilla CaicedoView profile

Researcher

• Control Systems
• Additive Manufacturing
• Transportation Systems
• +3 more

Christian Portilla Caicedo is a post-doctoral researcher in Electrical Engineering at the Eindhoven University of Technology (TU/e), working within the Smart Process Operations and Control Lab. His research bridges control systems, mathematical modeling, and industrial automation to address challenges in additive manufacturing, heat exchanger networks, and adsorption processes. His work aligns with the UN Sustainable Development Goals (SDGs), particularly those related to sustainable technologies and efficient resource management. Education: Control Engineer (Colombia) Master's in Industrial Automation PhD in Civil Engineering (Eindhoven University of Technology, with an internship at Delft University of Technology) Portilla's research focuses on integrating multi-disciplinary expertise through real-time monitoring platforms and model-based approaches. His recent projects include dynamic regulation of photosynthesis in the DREAM initiative and optimizing industrial processes via feedback control strategies. His publications emphasize control theory, additive manufacturing, and fouling mitigation. Key Research Areas: Control Systems Additive Manufacturing Transportation Systems Mathematical Modeling Process Control Industrial Automation

Claudia FecarottiView profile

Assistant Professor

• Reliability Engineering
• Maintenance Modelling and Optimization
• Infrastructure Asset Management
• +6 more

Claudia Fecarotti is an Assistant Professor in Resilient Asset Management and Maintenance at Eindhoven University of Technology (TU/e), Netherlands, since January 2019. She is affiliated with the Operations, Planning, Accounting and Control Group (OPAC) within the Department of Industrial Engineering and Innovation Sciences, as well as EAISI and the 4TU Centre for Resilience Engineering. Prior to TU/e, she was a Research Associate at the University of Nottingham's Resilience Engineering Research Group (RERG), where she earned her PhD in Reliability Engineering and Infrastructure Asset Management in 2018. Education: BSc in Civil Engineering, University of Palermo, Italy MSc in Transportation Systems and Infrastructures, University of Palermo, Italy PhD in Reliability Engineering and Infrastructure Asset Management, University of Nottingham, UK Her research focuses on reliability engineering, maintenance modeling and optimization, and infrastructure asset management. She develops methodologies for planning, operating, and maintaining complex safety-critical systems (railways, fuel cells, offshore oil/gas, agricultural robots) to enhance performance and reduce costs. Her work bridges academic rigor with industrial relevance. Recent research trends include condition-based maintenance for multi-component systems, intervention planning for interconnected infrastructures, and digital tools for railway and modular construction systems. Her work aligns with UN Sustainable Development Goals for resilient infrastructure and sustainable cities. Scientific Awards: IMechE’s Best Young Researcher Award 2013 IMechE’s Donald Julius Groen Prize 2017 She is actively involved in projects like Modular prefabricated construction (2024–2027) and serves on the editorial board of the Journal of Infrastructure Systems (ASCE). Her expertise spans Petri nets, fault tolerance, and systems performance optimization.

Marije van der LeeView profile

Professor

• Psycho-Oncology
• Fear of Cancer Recurrence
• Cancer-related Fatigue
• +4 more

Prof. Marije van der Lee is a Full Professor in Psycho-Oncology at Tilburg University's Tilburg School of Social and Behavioral Sciences (TSB), holding an endowed chair in Clinical and Medical Psychology. She leads the scientific research department at the Helen Dowling Institute (HDI) and provides clinical care as a registered health psychologist. Her research focuses on personalized e-interventions for cancer patients, particularly addressing cancer-related fatigue, fear of recurrence, and resilience. Key projects include the COMPANION study (partner-involvement in fatigue treatment), SCHEME (predicting psychological distress risk), and the IMPRESS initiative (resilience in long-term responders to immunotherapy). Her work emphasizes co-creation with patients, as seen in the development of the doorlevenmetkanker.nl psychosocial support website. She has authored over 89 publications since 2003, with recent contributions in European Journal of Cancer Care , Annals of Behavioral Medicine , and Current Oncology . Her interventions, such as 'Less Tired' and 'Less Fear of Cancer' online programs, have been implemented clinically. She leads the HDI's endowed chair focused on optimizing psycho-oncology treatments to 'find what works for whom.' Current research priorities include validating personalized measurement designs, reducing patient burden in studies, and assessing cost-effectiveness of digital therapeutics. She collaborates with institutions like the University Medical Center Groningen and Radboud University Medical Center. Her interdisciplinary approach bridges clinical practice, research, and policy to improve cancer patients' mental well-being and quality of life.

Marten van DijkView profile

Professor

• Computer Security
• Cryptography
• Secure Processor Design
• +7 more

Dr. Marten van Dijk is a Full Professor in the Computer Security department at Vrije Universiteit Amsterdam (VU) since 2022 and a Group Leader for Computer Security at CWI since 2020. He also holds a Gratis Full Research Professor position at the University of Connecticut's ECE Department since 2020. Previously, he served as Associate and Full Professor at the University of Connecticut and held research roles at MIT CSAIL, RSA Laboratories, and Philips Research. PhD in Mathematics (1997, Eindhoven University of Technology) M.S. in Mathematics (Cum Laude, 1993) M.S. in Computer Science (Cum Laude, 1991) His research focuses on foundational computer security problems using cryptographic principles, including secure processor design, oblivious computation, and privacy-preserving machine learning. Notable contributions span Physical Unclonable Functions (PUFs), Aegis secure processor architecture, and oblivious RAM protocols. 15+ publications in 2023-2025 address topics like PUF cryptanalysis, differential privacy in federated learning, and Byzantine fault tolerance Key journals: IEEE Transactions on Computers, Journal of Cryptology, ACM CCS Conference Award highlights include: IEEE Fellow (2022) for secure processor design and encrypted computation IEEE Technical Achievement Award (2023) Intel Test of Time Award (2022) ACM CCS Best Paper (2013) A. Richard Newton Technical Impact Award (2015) His technical leadership spans hardware security (blu-ray error correction codes), cryptographic protocol design, and machine learning privacy frameworks. Current projects focus on secure processors with hardware-enforced isolation and differential privacy optimization.