Find Academic Supervisors

• Energy-Efficient Computing
• High-Performance Computing
• Compiler Techniques
• +4 more

Kanishkan Vadivel is a Researcher in the Electronic Systems group at Eindhoven University of Technology (TU/e), specializing in energy-efficient hardware architectures and compiler-based code-generation techniques. He holds a Master’s degree in Embedded Systems from TU/e (2017) and a Bachelor’s from Coimbatore Institute of Technology (India). Prior to academia, he worked in embedded systems at Tata Engineering and Arm Ltd. Research Interests : His work focuses on computation-in-memory architectures using resistive devices, optimal code generation for CGRA (Coarse-Grained Reconfigurable Architecture), and high-performance computing. Key projects include the MNEMOSENE initiative and development of the CIM-SIM simulator for computation-in-memory systems. Awards : HiPEAC collaboration grant (2019) Advising & Grants : His research is supported by grants focused on neuromorphic processors and edge-AI hardware. He collaborates on projects like NEUROKIT2E for embedded deep learning systems. Labs/Teams : Active member of TU/e’s Electronic Systems Center and Efficient Stream Processing Lab, contributing to neuromorphic and energy-efficient computing initiatives.

• Formal Verification
• Model Checking
• Concurrency Theory
• +2 more

Louis C.M. van Gool is a Researcher at the Department of Mathematics and Computer Science at Eindhoven University of Technology. His work focuses on Formal Verification , Model Checking , and Concurrency Theory , particularly in industrial software contexts. Active in Formal Methods for industrial critical systems Contributions to Communication Models and Simulation Relations Specializes in Component-Based Software Verification Recent research examines formal verification of industrial domain-specific languages , with a focus on SMMT and OIL case studies. His work bridges theoretical rigor with practical applications, particularly in deadlock freedom and property preservation across system changes. Publications from 2020–2025 demonstrate expertise in mCRL2 framework applications for verifying industrial systems, including OIL component specifications and language engineering .

Ivan KurtevView profile

Associate Professor

• Software Engineering
• Model-Driven Engineering
• Domain-Specific Languages
• +1 more

Ivan Kurtev is an Associate Professor in Mathematics and Computer Science at Eindhoven University of Technology, specializing in software engineering and model-driven technologies. His research develops formal methods for software interface specification, component-based systems, and domain-specific languages. Recent work (2022-2024) focuses on adaptable runtime monitoring and robotics controller synthesis. Earlier contributions established foundations for model transformation languages (ATL/QVT) and requirements change management. He leads research on the INTERSECT project integrating formal methods for IoT systems.

Jan BroeninkView profile

Associate Professor

• Cyber-Physical Systems
• Systems Engineering
• Robot Software Architectures
• +10 more

Jan Broenink is an Associate Professor at the University of Twente, affiliated with the Robotics and Mechatronics group within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). He serves as Programme Director of the MSc Robotics programme since July 2021 and previously chaired the Robotics and Mechatronics group (2017–2021). He holds a PhD and MSc in Electrical Engineering (EE) and biomedical degrees from the University of Twente. His research focuses on Cyber-Physical Systems, Systems Engineering, Robot Software Architectures, and Tools Development. Key interests include model-driven design, meta-modelling, simulation, co-simulation, and concurrent engineering. He develops software tools for robotics, emphasizing real-time computing and embedded control systems. Teaching encompasses Robot Software Design using Model-Driven approaches, Systems Engineering, and project supervision for MSc/BSc students. His work contributes to UN SDGs related to Industry and Future of Work, and Social and Daily Life. Broenink has supervised 9 student works and is active in conferences, presenting on topics like co-design methodologies and bond graph frameworks. His 162+ research outputs span embedded systems, robotics, and simulation tools.

Frank de BoerView profile

Researcher

• Formal Methods
• Concurrency Theory
• Object-Oriented Programming
• +3 more

Frank de Boer is a researcher at Centrum Wiskunde & Informatica (CWI), Amsterdam , focusing on formal methods , concurrency theory , and software verification . His work bridges theoretical foundations with practical applications in object-oriented programming and parallel systems. Key research areas: Separation logic for heap reasoning Behavioral subtyping and history-based verification Active objects and actor models Concurrency and deadlock analysis Selected scientific recognition: Best Paper (ESSOC 2017) Bronzen Achievement Award (Trust4All 2008) Forum-Architectuurprijs (Archimate 2008) Recent publications (2025–2021) emphasize footprint logic, history-based reasoning, and formal verification of concurrent systems. Collaborations span institutions in The Netherlands, Germany, and China, with applications to Java collections, multicore memory systems, and transition system models.

Jiri KosinkaView profile

Associate Professor

• Computer Graphics
• Computational Geometry
• Medical Visualization
• +5 more

Jiri Kosinka is an Associate Professor at the University of Groningen , affiliated with both the Faculty of Science and Engineering and the Faculty of Medical Sciences/UMCG . His work bridges Scientific Visualization and Computer Graphics with Robotics and Image-Guided Surgery . Research spans computational geometry, medical visualization, and fluid dynamics Key contributions in subdivision surfaces, distance transforms, and point cloud processing Recent publications focus on 3D surgical planning , turbulent flow simulations , and medical image analysis . His work integrates deep learning techniques for geometry processing and virtual reality applications in medical education. Notable collaborations include interdisciplinary projects with UMCG and Siemens . Awards and grants are not explicitly listed in the provided data.

• Astronomical Data Processing
• Euclid Space Mission
• Astro-WISE Technologies
• +7 more

Dr. Andrey Belikov is a researcher at the Kapteyn Astronomical Institute within the Faculty of Science and Engineering at the University of Groningen. His work primarily focuses on astronomical data processing systems, with significant contributions to the Euclid space mission and Astro-WISE technologies. As an external staff member, he plays a key role in developing data infrastructure for large-scale astronomical surveys. His research interests span Astronomical Data Processing , Information Systems for Astronomy , Euclid Space Mission technologies, and Big Data applications in astronomy. Belikov has made substantial contributions to near-infrared and visible light data processing, photometric redshift determination, and astrometric calibration systems for space-based astronomical observations. Analysis of his recent publications reveals a strong focus on the Euclid mission's data processing pipeline, with multiple 2025 publications detailing the Quick Data Release components. His work demonstrates expertise in handling extremely large distributed astronomical datasets, developing archive systems, and creating scientific visualization tools for astronomical surveys. The research shows a progression from earlier work on galaxy evolution and structural parameters to current focus on space mission data infrastructure. As a key contributor to the Euclid collaboration, Belikov has co-authored numerous papers covering various aspects of the mission's data processing pipeline, including NIR processing, VIS processing, photometric redshifts, and overall data release architecture. His work bridges the gap between astronomical science requirements and practical data processing solutions. Dr. Belikov is actively involved with the Kapteyn Astronomical Institute and collaborates extensively with international teams working on major astronomical surveys. His technical expertise in data systems supports both the Euclid mission and broader astronomical research community through the development of robust, scalable data infrastructure.

Rob MaaskantView profile

Associate Professor

• Millimeter-Wave Antenna Integration
• Microwave Engineering
• Silicon-Based RF Systems
• +2 more

Rob Maaskant is an Associate Professor at Eindhoven University of Technology (TU/e) in the Electromagnetics group of the Electrical Engineering department. He also holds an associate professorship at Chalmers University of Technology in Gothenburg, Sweden, within the Antenna Group of the Electrical Engineering department. PhD (cum laude), TU/e (2010) MSc (cum laude), TU/e (2003) His research focuses on mm-wave antenna integration and packaging challenges, particularly addressing cross-talk effects and cavity resonance issues through hybrid circuit-wave modeling. He develops silicon-based Ka-band massive MIMO systems for 5G applications using BiCMOS technologies. Key projects include spatial power combiners and algorithmic radar architectures with energy-saving innovations. Recent publications highlight: 2024: Waveguide integration techniques for multi-channel amplifiers 2024: Contactless transitions with tolerance analysis 2022: Algorithmic radar power efficiency 2022: Spatial power combiner design 2022: Phased-array reflector antennas Scientific Recognition: NWO Vidi Grant (2016) Young Researcher Grant (VR, 2011) Marie-Curie Rubicon Fellowship (2010-2012) He has authored over 100 papers, holds 8 patents, and developed the CAESAR software for antenna array analysis. Collaborations include industry leaders NXP and Ericsson.

• Green Software Engineering
• Software Architecture
• Robotics Software
• +3 more

Dr. Ivano Malavolta is an Associate Professor in Software Engineering at Vrije Universiteit Amsterdam's Faculty of Science, affiliated with the Software and Sustainability (S2) department and the Network Institute. He leads research in energy-efficient software, robotics, and software architecture, with a focus on sustainability. He holds editorial roles in journals like IEEE Software and has received notable awards, including the 2024 Dutch ICT Research Prize for Green Robotics Software. Malavolta earned his PhD in Computer Science from the University of L'Aquila in 2012. His teaching spans courses like 'Green Lab' and 'Software Design,' emphasizing research integration. He supervises over 10 PhD students and hundreds of undergraduates, contributing to programs like the VU's Software Engineering and Green IT track. Key projects include Innoguard (Hybrid AI for Cyber-Physical Systems) and BUMBLE (Model-Driven Software Engineering). His work aligns with UN SDG goals, particularly environmental sustainability. Education : PhD in Computer Science, University of L'Aquila (2012) Research Focus : Green software, energy efficiency, robotics, model-driven engineering Teaching : Program coordinator for Master's Green IT track; courses in software design, mobile apps, and sustainability His research outputs include over 138 publications, with recent emphasis on energy-efficient Python libraries, ROS-based robotics, and collaborative modeling tools. He actively participates in conferences like ICSA and ECSA, promoting industry-academia collaboration through workshops and editorial roles.

• Software Engineering
• Collaborative Systems
• Smart Cities
• +5 more

Kousar Aslam is an Assistant Professor at the Faculty of Science of Vrije Universiteit Amsterdam , affiliated with the Software and Sustainability (S2) group and the Network Institute . Their research focuses on collaborative software engineering practices, smart city requirements engineering, and ethical challenges in the software industry. Key areas include model-driven approaches, real-time collaborative systems, and addressing micro-inequities affecting immigrant software practitioners. Research interests prominently feature collaborative model-driven engineering , ethical tech practices , and smart urban development . Notable contributions include frameworks for cross-platform collaborative modeling and studies on whistleblowing dynamics in tech workplaces. They actively engage in industry-academia collaboration through tool development and educational initiatives like blended modeling tutorials. Teaching includes courses on ICT for the Global North and Global South , emphasizing technology's role in socio-economic contexts. Their work bridges technical innovation with societal impact, addressing both practical development challenges and systemic industry issues.

Priyanka KarkhanisView profile

Researcher

• Cooperative Intelligent Transport Systems
• Reference Architecture
• Behavioral Modeling
• +3 more

Priyanka Karkhanis is a postdoctoral researcher specializing in Software Engineering and Technology at Eindhoven University of Technology. Her academic profile shows active research contributions in the field of Cooperative Intelligent Transport Systems (C-ITS) with expertise spanning reference architecture design, behavioral modeling, and system deployment challenges. Her research interests include: Cooperative Intelligent Transport Systems architecture and implementation Behavioral modeling with uncertainty analysis for road users Reference architecture frameworks for transportation services Agent-based modeling and simulation techniques Security and authorization frameworks for connected vehicles Dr. Karkhanis's scholarly work demonstrates a consistent focus on solving practical challenges in connected mobility systems. Her recent publications examine uncertainty in behavioral models, reference architecture design patterns, and security frameworks for C-ITS. She approaches transportation challenges through rigorous software engineering methodologies, bridging theoretical computer science with real-world transportation applications. She completed her PhD at Eindhoven University of Technology in 2024 with the dissertation "Driving the Future: Facilitating C-ITS Service Deployment for Connected and Smart Roadways," which represents a significant contribution to the field of intelligent transportation systems.

Bartosz PaszkowskiView profile

Lecturer

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +3 more

Bartosz Paszkowski is a Lecturer and Researcher at Fontys University of Applied Sciences ICT, where he focuses on Artificial Intelligence and software engineering challenges. He holds a Master's degree in Computer Science from KU Leuven and previously studied Electronics and Telecommunications at Bialystok University of Technology. At Fontys, he leads the Strengths-Based Development ambition theme to shape organizational growth through colleague contributions. His research projects include: VIBE Project : Developed software architecture for a virtual avatar in hospitals, integrating AI and machine learning components through multi-institutional collaboration. Research Interests: He specializes in AI applications for education, text mining of student feedback, and agile software development. His work bridges educational quality assurance with technological innovation, particularly in self-regulated learning frameworks and competency development for evolving labor markets. Collaboration: Paszkowski collaborates with: Gerard Schouten (Lector/Researcher) Masha Boosten (Researcher) Levi van den Bogaard (Staff Member) Publications: He has contributed to three publications between 2019-2020 analyzing AI and text mining applications in educational quality assurance, with a focus on Fontys National Student Surveys.

Bin ShiView profile

Research Fellow

• Photonics
• Optical Communication
• Neural Networks
• +3 more

Bin Shi is a Research Fellow at Eindhoven University of Technology's Department of Electrical Engineering, focusing on photonics, optical communication, and neuromorphic computing. He is a core member of the ECO Research Centre for Integrated Nanophotonics (2014–2025), contributing to next-generation optical networks and photonic integrated circuits. His research expertise includes photonic integrated circuits (PICs), semiconductor optical amplifiers (SOAs), and neural network implementations using optical systems. Key projects involve developing low-cost metro-access networks using SOA-based optical add-drop multiplexer (OADM) nodes and exploring photonic computing architectures for deep learning applications. Recent work emphasizes non-invasive characterization techniques for cascaded SOAs, software-defined electro-optical neural networks, and photonic beamforming systems. He has contributed to over 44 research outputs since 2018, with notable publications in Optics Letters and Optics Express . Shi collaborates internationally on topics like photonic neural networks and nanophotonic devices. He teaches the course 'Brain-inspired optical computation' and has been featured in media for his work on light-based neural networks.

Jaap C.S.P. van der WoudeView profile

Lecturer

• Computer Science
• Software Engineering
• Business Information Systems
• +3 more

Jaap C.S.P. van der Woude is a University Lecturer in the Department of Mathematics and Computer Science at Eindhoven University of Technology. His research focuses on formal methods in computer science, including relational algebra applications, business process modeling, and system design. He has contributed to software development tools like the Ampersand system and explored theoretical foundations such as inductive set theory and Petri net components. Research Contributions: Developed relational algebra-based approaches for practical software specifications Investigated subtyping in relational systems to enhance heterogeneity handling Explored educational methodologies for computing science curricula Formalized Petri net components for concurrency analysis Notable Works: His 2011 conference contributions on Ampersand and relational subtyping represent key advancements in applying formal methods to real-world systems. Earlier work includes foundational studies in inductive sets (2004) and Petri net calculus (2001). Advising & Supervision: Supervised 7 academic works though specific student names aren't documented here. His research spans both theoretical computer science and practical educational implementations.

Mohammad Rezazade MehriziView profile

Associate Professor

• Artificial Intelligence
• Organizational Learning
• Big Data Analytics
• +3 more

Dr. Mohammad Rezazade Mehrizi is an Associate Professor at Vrije Universiteit Amsterdam , affiliated with the School of Business and Economics and the KIN Center for Digital Innovation . He holds dual PhDs in Science and Technology Policy (Sharif University of Technology/SPRU, UK) and Management Science (ESADE Business School, Barcelona). His research focuses on organizational learning, unlearning, AI integration in healthcare, and discontinuance of obsolete systems. He also holds an ancillary position at Leiden University since 2022. Education: B.Sc. in Electrical Engineering (Sharif University), MBA (Sharif University, 2005), and two PhDs. He received a grant for SPRU (University of Sussex, UK) in 2006 as part of a joint PhD program. His work contributes to UN Sustainable Development Goals related to innovation and healthcare. Research Interests: Organizations' ability to unlearn outdated practices, AI implementation challenges in radiology, learning from failures, and adapting business models for emerging technologies like big data analytics. Key areas include medical AI ethics, human-AI collaboration, and organizational complexity reduction. Awards: 2022 Journal of Strategic Information Systems Best Paper Award Comenius Grant (2022) Runner-up Best Paper Award JSIS 2017 Teaching: Courses include Knowledge Management (Bachelor), Qualitative Research Methods (Master/PhD), and Digital Innovation (Executive). He also serves on the editorial board of the Journal of Strategic Information Systems. Labs/Teams: Active in the KIN Center for Digital Innovation and collaborates internationally on AI in healthcare and organizational learning projects.