Find Academic Supervisors

• Remote Sensing
• Geographic Information Science
• LIDAR Point Clouds and Reconstruction
• +3 more

Alvaro Ivan Lau Sarmiento is a Lecturer at the Geosciences school of Utrecht University , affiliated with the Human Geography and Spatial Planning department. He actively contributes to the Laboratory of Geo-Information Science and Remote Sensing at Wageningen University & Research through collaborative projects. Education : Master in Geo-Information Science and Remote Sensing from Wageningen University Expertise : Terrestrial Laser Scanning (TLS), 3D Forest Modeling, Tropical Forest Monitoring His research focuses on Remote Sensing applications in Forest Ecology , particularly using Terrestrial LiDAR to analyze Tree Biomass Estimation and Crown Shyness phenomena. He pioneered 3D surface complementarity metrics adapted from molecular biology to quantify crown interactions in tropical forests. Recent work trends show strong emphasis on 3D Point Clouds for ecological analysis and Architecture-Based Modeling of tropical trees. His studies bridge Remote Sensing with Forest Dynamics through innovative computational methods. Alvaro coordinates and teaches courses like GRS10306 while supervising MSc Theses and Internships . He actively collaborates with Wageningen University researchers, startups, and companies in 3D modeling domains. As contact person for Terrestrial Laser Scanning Research at Wageningen University & Research, he has collected field data in tropical regions and Europe, focusing on Greenhouse Gas Emissions Monitoring in forests through his 3DForMod project.

Alex AlvaradoView profile

Professor

• Optical Communications
• Wireless Communications
• Information Theory
• +3 more

Alex Alvarado is a Full Professor in the Signal Processing Systems department at Eindhoven University of Technology (TU/e), leading the Information and Communication Theory Lab (ICT Lab). He is also affiliated with TU/e's Center for Wireless Technology in Eindhoven. His academic career includes roles as a Senior Research Associate at University College London (2014–2016), Marie Curie Intra-European Fellow (2012–2014), and Newton International Fellow (2011–2012) at the University of Cambridge. Alvarado is a Senior Member of the IEEE and has held editorial and committee positions in major conferences like OFC and ECOC. Alvarado holds an Electronics Engineer degree (2003) and MSc (2005) from Universidad Técnica Federico Santa María, Chile, followed by a Licentiate of Engineering (2008) and PhD (2011) from Chalmers University of Technology, Sweden. His research focuses on high-speed secure data transmission in optical and wireless systems, emphasizing energy-efficient algorithms and theoretical limits of telecommunication systems. Key areas include communication theory, information theory, optical fiber systems, and nonlinear interference mitigation. His recent articles explore advanced modulation formats, machine learning applications for channel estimation and decoding, and innovations in free-space optics and MIMO systems. This work contributes to UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and responsible consumption through energy-efficient communication solutions. Scientific Awards: ERC Starting Grant (2018) NWO VIDI Grant (2016) 2015 Journal of Lightwave Technology Best Paper Award 2015 IEEE Exemplary Reviewer Award 2018 and 2023 Asia Communications and Photonics Conference Best Paper Awards 2019 Optoelectronics and Communications Conference Best Paper Award Alvarado's advising contributions include supervising 12 research works. His grants include NWO VIDI and ERC Starting funding. He leads projects like NESTOR (Next-gen optical networks) and LaiQa (Quantum Key Distribution). His lab, the ICT Lab, drives theoretical and applied research in communication systems.

Jean-Jacques HeringsView profile

Professor

• Game Theory
• Microeconomics
• Networks
• +4 more

Jean-Jacques Herings is a Full Professor of Quantitative Microeconomics at Tilburg University's Tilburg School of Economics and Management (TiSEM), specifically within the Department of Econometrics and Operations Research. He has held this position since March 2022, having previously been a Professor of Economics at Maastricht University from September 1999 to February 2022. Herings' research focuses on five primary themes: Cooperative game theory, non-cooperative game theory, networks, general equilibrium theory, and equilibrium computation. His work spans theoretical foundations and practical applications, particularly in financial networks, matching markets, and strategic decision-making. He has published over 200 research outputs including articles in top journals such as Econometrica, Journal of Economic Theory, Management Science, and Mathematics of Operations Research. His recent publications reveal a continued focus on game-theoretic applications to economic problems, with particular attention to financial networks, bankruptcy problems, matching theory, and information design. There's a clear trend toward computational methods for finding equilibria and increasingly sophisticated modeling of strategic interactions in networked environments, with over 13 publications in 2024 alone demonstrating his active research program. Johannes Cornelis Ruigrok Prize (1997) Lionel W. McKenzie Prize (2008) VICI grant from NWO Fellow of the Game Theory Society (2017) Secretary-Treasurer of Game Theory Society (2014-2022) Fellow of the Society for the Advancement of Economic Theory (2019) As an advisor, Herings has supervised over 20 PhD students to completion, with research spanning game theory applications in economics, finance, and network theory. His editorial service includes membership on the boards of Games and Economic Behavior, Journal of Mathematical Economics, International Journal of Game Theory, and Mathematics of Operations Research. He also serves on the International Advisory Board of the Center for Mathematical Research in Economics and Finance at the University of Manchester.

• Computational Neuroscience
• Neurophysics
• Brain Oscillations
• +2 more

Paul Tiesinga is Professor of Neuroinformatics at Radboud University's Faculty of Science, where he directs the Neuroinformatics group at the Donders Centre for Neuroscience. His research focuses on understanding information processing in the brain, particularly the role of oscillations ('brain waves') in cognitive functions and disease mechanisms. He combines computational modeling with experimental approaches including optogenetics to investigate cortical dynamics. As Director of Education for the Institute for Mathematics, Physics and Astronomy, he oversees academic programs while maintaining active research in: Computational modeling of cortical circuits Oscillation mechanisms in neural coding Data sharing policies for neuroscience Information transfer between brain areas His recent publications reflect advances in neurotechnology development, thalamocortical connectivity analysis, and novel methodologies for neural data interpretation.

Marieke KlijnView profile

Assistant Professor

• Bioprocess Engineering
• Process Analytical Technology
• Data-Driven Biotechnology
• +3 more

Dr. Marieke Klijn is an Assistant Professor at the Department of Biotechnology, Faculty of Applied Sciences, Delft University of Technology. Her research focuses on data-driven bioprocess development, leveraging process analytical technology (PAT) to enhance real-time monitoring and control of bioprocessing strategies across industries. She leads the Marieke Klijn Group, which develops frameworks for integrating data from process analyzers to improve process understanding and product quality in continuous and intensified bioprocessing environments. Her work emphasizes flexibility in bioprocessing approaches, including monitoring, control, and technology development. Recent studies highlight applications in stem cell culture bioreactors, synthetic co-culture systems, and PAT miniaturization for biopharmaceuticals. She advises multiple PhD candidates researching topics like CFD modeling, off-gas measurements, and microbial cell factories for cellular agriculture. Key research directions include optimizing bioreactor designs, enhancing Raman spectroscopy models for fermentation monitoring, and predicting protein behavior in chromatography. Her group collaborates on projects funded by industry and academic partnerships, addressing challenges in bioprocess scalability and real-time quality assessment.

Wouter BotzenView profile

Professor

• Climate Change Economics
• Natural Disasters
• Behavioral Economics
• +5 more

Prof. Wouter Botzen holds a dual role as a full Professor of Economics of Global Environmental Change at the Utrecht University School of Economics and Professor of Economics of Climate Change and Natural Disasters at VU University Amsterdam's Department of Environmental Economics, where he also serves as Head of the department. He is a senior research fellow at the Wharton School's Risk Management and Decision Processes Center at the University of Pennsylvania. His work bridges environmental economics, risk analysis, and policy design. Botzen earned his MSc in Economics from Maastricht University (2005–2006) and completed his PhD at VU University Amsterdam (2006–2009). His academic career includes prior roles as Associate and Assistant Professor at VU University (2010–2016) and visiting scholar positions at institutions in the U.S. and Spain. His research focuses on climate change economics, behavioral responses to disaster risks, valuation of natural environments, and flood risk management. He emphasizes integrating behavioral insights into policy tools, such as insurance mechanisms to incentivize risk reduction and adaptation. Key projects include Future Deltas , NATURVATION , and Pathways to Sustainability , which explore urban resilience, nature-based solutions, and socio-economic tipping points from climate impacts. Botzen has received prestigious awards such as the Vidi and Veni scholarships from NWO, the Lloyd's Science of Risk Prize, and multiple best-paper awards in Risk Analysis . His grants include EU-funded initiatives like NATURVATION and Dutch-funded projects on sustainable energy governance. He collaborates extensively with academic teams and policymakers, contributing to global studies on flood risk, carbon pricing, and climate adaptation policies. His work aims to address systemic challenges in risk mitigation and resource allocation through interdisciplinary frameworks.

Bo van der RheeView profile

Professor

• Operations Management
• Supply Chain Optimization
• New Product Development
• +2 more

Bo van der Rhee is a Professor of Operations Management at Nyenrode Business University , affiliated with the Faculty Research Center for Marketing & Supply Chain Management . He holds adjunct professor roles at the University of Utah and VinUni in Vietnam. His research focuses on New Product Development (NPD) , Supply Chain Optimization , and analytical modeling . He has published in top journals like European Journal of Operational Research and Production & Operations Management . Education: Master’s in Econometrics and Operational Research (Vrije Universiteit Amsterdam, 2003); PhD in Business (University of Utah, 2007). Teaching specialties include Operations Management, Supply Chain Management, and Statistics, with recognition through teaching awards from PTMSc, FTMSc, and EMBA programs. He led Nyenrode’s Educational Innovation taskforce and advanced digital testing. International collaborations include the University of Utah’s David Eccles School of Business, where he co-teaches. He has taught globally in Mexico, Finland, Germany, Vietnam, and the U.S. His work explores topics like IT infrastructure in NPD, safety inventory strategies, and market positioning of innovations. He serves as Nyenrode’s Director of Research and is an active reviewer for journals like Production and Operations Management . His research integrates quantitative methods with strategic business challenges.

• Robotics
• Computer Vision
• Deep Learning
• +7 more

Akshay Kumar Burusa is a Researcher in the Department of Agricultural Biosystems Engineering at Wageningen University & Research . His work focuses on integrating robotics, computer vision, and deep learning for agricultural automation, particularly in greenhouse environments. Research Interests : Robotics and machine learning for agro-food systems 3D pose estimation and keypoint detection in plants Real-time object tracking in cluttered environments Next-best-view algorithms for plant reconstruction Biomechanical modeling for robotic grasping Recent Publications highlight advancements in agricultural robotics, including multi-view active vision for plant node detection, deep learning-based grasping of deformable objects, and self-supervised 3D reconstruction algorithms. His work emphasizes practical applications in tomato greenhouses and poultry processing automation. Collaborations : Collaborates with experts like Eldert van Henten and Gert Kootstra on projects involving robotic perception and tracking. His research contributes to improving efficiency in agro-food robotics through advanced vision systems and algorithm design.

• Dynamics of Complex Systems
• Climate Dynamics
• Critical Transitions
• +7 more

Dr. Mark Dekker is a Researcher at Utrecht University's Faculty of Geosciences, specifically within the Copernicus Institute of Sustainable Development and the Environmental Sciences department. He also holds a position at the Netherlands Environmental Assessment Agency (PBL). His work bridges data science, mathematical modeling, and environmental policy, with a particular focus on climate change mitigation strategies. Dr. Dekker completed his PhD in 2022 with a thesis titled 'Macroscopic Dynamics in Complex Systems,' which examined interactions between microscopic and macroscopic phenomena across various complex systems including climate tipping points, railway disruptions, ecological patterns, neuroscience data, and pandemic interventions. His educational background has equipped him with strong analytical skills in mathematical and computational modeling. His research interests span Dynamics of Complex Systems , Climate Dynamics , Critical Transitions , and Integrated Assessment Modelling . Dr. Dekker applies data science and mathematical techniques to climate change questions, particularly focusing on climate justice and mitigation effort-sharing. He distinguishes normative considerations from climatological uncertainties to understand what determines fair national emission reduction targets. His work includes developing the Carbon Budget Explorer webtool for visualizing fair climate targets. Dr. Dekker's publication record shows a clear evolution from fundamental complex systems research during his PhD (2017-2021) toward applied climate policy analysis. His recent work (2022-2025) focuses on energy system modeling, climate scenario analysis, and effort-sharing frameworks. He has made significant contributions to understanding variance in climate policy scenarios and identifying 'model fingerprints' in mitigation pathways. His interdisciplinary approach connects climate science with social considerations of fairness and justice. As an educator, Dr. Dekker contributes to several bachelor-level courses including Introduction to Adaptive Systems, Graphics, Image processing, Introduction to Complex Systems, and Introduction Project. His teaching reflects his expertise in complex systems and computational approaches. Dr. Dekker is actively involved in the IMAGE team within the Horizon-2020 ECEMF project, working on scenarios describing future energy economy evolution and identifying potential routes to climate neutrality. His research combines data analysis, network analysis, computational modeling, and mathematical modeling using Python and Matlab. His work has significant policy relevance, particularly for national and international climate target setting.

Yuliana Yu. LinkeView profile

Associate Professor

• Regression analysis
• Change-point problem
• Nonparametric Estimation
• +3 more

Yuliana Yu. Linke is an Associate Professor at the Chair of Probability Theory and Mathematical Statistics of Novosibirsk State University and a Senior Researcher at the Laboratory of Applied Inverse Problems of the Sobolev Institute of Mathematics. She holds a Candidate of Science (Ph.D.) from the Sobolev Institute of Mathematics (2000) and a Doctor Habilitatus from Lomonosov Moscow State University (2024). Education: 1992-1998, Novosibirsk State University, Mathematical Department 1998-2000, Postgraduate Course, Chair of Probability Theory and Math. Statistics, NSU 2000, Candidate of Science (Ph.D.), Sobolev Institute of Mathematics 2024, Doctor Habilitatus (Dr.Habil), Lomonosov Moscow State University Her research focuses on regression analysis and the change-point problem. She has extensively contributed to nonparametric estimation techniques, particularly kernel methods and asymptotic statistics, addressing challenges in stochastic processes and heteroscedastic models. Her publications over the past 15 years highlight advancements in kernel-type estimators for regression models, emphasizing uniform consistency, insensitivity to design correlation, and asymptotic normality under non-identical distributions. These works span theoretical developments and applications to stochastic processes and random fields. Linke has also taught courses for the Department of Natural Sciences at Novosibirsk State University, with teaching materials available in Russian.

• Geotechnical Engineering
• Soil Mechanics
• Material Point Method (MPM)
• +7 more

Michael Hicks is a Professor at Delft University of Technology (TU Delft) in the Civil Engineering & Geosciences school, specializing in Geo-engineering . His research focuses on geotechnical risk assessment, soil variability, and advanced numerical methods like the Material Point Method (MPM) to model slope failures, earthquake simulations, and soil-structure interactions. Editorial board member for Géotechnique , Georisk , and Computers and Geotechnics (2019) Keynote speaker at workshops on slope failure modeling (2018) Active in public engagement about flood risk management (2017–2018) His work addresses challenges in soil heterogeneity, dynamic boundary conditions, and reliability-based design for infrastructure. Notable contributions include developing probabilistic MPM frameworks and machine learning tools for CPT data interpretation, with applications in earthquake resilience and radioactive waste repository safety. Recent publications highlight innovations in 3D slope stability analysis, nonlocal soil deformation modeling, and thermomechanical interface behavior under cyclic loading. Collaborations span academia and industry, focusing on improving numerical accuracy and understanding failure mechanisms in geotechnical systems.

• Sea Level Change
• Climate Change
• Antarctica
• +6 more

Prof. Roderik van de Wal is a Professor of Sea Level Change and Coastal Impacts at Utrecht University, affiliated with the Faculty of Science and collaborating with the Faculty of Geosciences. His research focuses on climate dynamics, polar ice sheets, and sea level changes, integrating observational and modeling approaches at the intersection of natural and earth sciences. Research Interests: Paleoclimate modeling and ice core interpretation Climate sensitivity and dynamics Sea level variations and ice dynamics of Greenland and Antarctica Glacier modeling and numerical ice sheet simulations Collaborative efforts bridge oceanography, meteorology, glaciology, hydrology, and physical geography. His work emphasizes understanding future sea-level rise drivers, including thermal expansion, ice melt, and storm surge impacts. Key Contributions: Developed models like ZEMBA and UFEMISM for Quaternary climate and ice sheet dynamics Explored Antarctic bedrock uplift effects and basal meltwater dynamics Assessed regional sea level risks for coastal adaptation strategies He supervises graduate students on topics ranging from glacial inception to compound flooding projections. His research supports policy-relevant sea-level assessments through initiatives like the EU Knowledge Hub.

• Game Technology
• Game Design
• Serious Games
• +7 more

Professor Remco Veltkamp holds a faculty position at Utrecht University's Faculty of Science with a focus on Game and Media Technology . As Scientific Director of AI Labs and coordinator of the Utrecht Center for Game Research , his work bridges serious games, virtual reality, and human-centered AI applications. He leads the Dynamics of Youth Hub 'Healthy Play, Better Coping' exploring gaming's role in pediatric chronic illness management. Academic leadership in gaming technology Director of Utrecht's AI Labs Founder of Serious Game Society Editor of International Journal of Serious Games Research spans game design, AR/VR interaction, 3D object recognition, and multimedia systems with applications in: Healthcare gamification Energy conservation Bioinformatics Social behavior analysis Computer vision Recent work includes: 2025: Developing fatigue management therapy games 2024: Analyzing protest dynamics through social media 2023: Creating equine pain assessment systems 2022: Gamification in food sustainability As educator, he teaches Game Programming and Small Project Game and Media Technology , while pioneering applications of gaming in healthcare and education sectors.

Mauricio Muñoz AriasView profile

Assistant Professor

• Port-Hamiltonian Control Theory
• Aerospace Systems
• Renewable Energy
• +4 more

Mauricio Muñoz Arias is an Assistant Professor at the University of Groningen's Faculty of Science and Engineering, affiliated with the Engineering Systems and Design Group. His research focuses on developing and applying port-Hamiltonian control theory across multiple domains including aerospace systems, renewable energy, robotics, and sustainable technologies. Research interests span satellite attitude control, CubeSat design for Earth observation, energy optimization for wave energy converters, and control strategies for solar-powered systems. His work integrates theoretical developments with practical applications in mechanical systems and biological systems modeling. Publications demonstrate strong emphasis on energy-based approaches across renewable energy systems, aerospace control, and robotic applications. Recent work shows increasing focus on sustainable technologies and interdisciplinary applications combining control theory with biological systems.

John Ray BergadoView profile

Lecturer

• Machine Learning
• Deep Learning
• Remote Sensing
• +3 more

John Ray Bergado is a Lecturer and Researcher at the Department of Earth Observation Science (EOS), Faculty of Geoinformation Science and Earth Observation (ITC), University of Twente, The Netherlands. He holds a PhD in End-to-end predictive models for remote sensing applications (2020), an MSc in Geoinformation Science and Earth Observation (2016, with distinction), and a BSc in Geodetic Engineering (2013, magna cum laude). His research focuses on integrating machine learning and deep learning with geospatial technologies like remote sensing, photogrammetry, and UAVs to address environmental and urban challenges. Education: PhD, University of Twente, 2016–2020 MSc (Distinction), University of Twente, 2013–2016 BSc (Magna Cum Laude), University of the Philippines, 2009–2013 His work emphasizes applications such as wildfire prediction, UAV-based point cloud extraction, and land use classification. He has contributed to projects with institutions like NEO BV, RMIT (Melbourne), and SRDP Consulting Inc. His research aligns with UN SDGs, particularly in sustainable development through geospatial innovation. Key trends in his articles include deep learning for geospatial data analysis, UAV applications in disaster response, and multispectral image fusion. His methodologies often combine neural networks and attention mechanisms to enhance remote sensing outcomes. He has no listed awards but has received academic distinctions for his degrees. His advisory roles and grants are not explicitly mentioned, though his research collaborations span global institutions. He is affiliated with ITC’s EOS department, contributing to its mission in geoinformation science and earth observation.