Find Academic Supervisors

Serge FehrView profile

Professor

• Cryptology
• Post-Quantum Cryptography
• Information-Theoretic Cryptography
• +5 more

Serge Fehr is a Senior Researcher in the Cryptology Group at CWI (Centrum Wiskunde & Informatica) in Amsterdam and a part-time Professor at the Mathematical Institute of Leiden University. His research focuses on foundational aspects of cryptology, including post-quantum cryptography, information-theoretic security, zero-knowledge proofs, and secure multiparty computation. He participates in AMSec (Amsterdam Cyber Security Center) and leads work packages in the NWO-funded HAPKIDO consortium. Education: M.Sc. in Mathematics from ETH Zürich (1998) Ph.D. in Cryptography from ETH Zürich and University of Aarhus (2003) Postdoc at Macquarie University (2003-2004) Research Interests: Post-quantum cryptographic primitives (e.g., digital signatures, lattice-based schemes) Quantum-resistant protocols (e.g., non-resignable signatures, Fiat-Shamir transforms) Foundational security proofs in the quantum random oracle model (QROM) Secure multiparty computation and privacy-preserving healthcare systems Key Activities: Editorial Board Member: Journal of Cryptology , IEEE Transactions on Information Theory Program Committee Co-Chair: EUROCRYPT 2025 Steering Committee Member: Beyond IID Information Theory, QCrypt Co-organizer: Symposium Series on Post-Quantum Cryptography Grants/Awards: NWO Cybersecurity consortium grant (HAPKIDO - 2021) NWO Veni Grant (2005) NWO Open & Free Competition Grants (2008, 2013) Students/Advising: Supervised or served on committees for over 15 Ph.D. students, including work on post-quantum signatures, MPC applications, and lattice-based cryptography. Labs/Teams: Active in CWI’s Cryptology Group and Leiden’s Mathematical Institute, collaborating with industry partners (e.g., KPN, Microsoft) in cybersecurity initiatives.

• Algebraic Graph Theory
• Combinatorial Optimization
• Quantum Information Theory
• +3 more

Aida Abiad Monge is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), where she chairs the Algebraic Combinatorics group. She holds a 0.1fte position as an Associate Professor at Vrije Universiteit Brussel and is a guest researcher at Ghent University. Her research focuses on algebraic graph theory, including spectral graph properties, combinatorial optimization, and applications in quantum information theory and coding theory. Her academic career includes postdoctoral fellowships at Ghent University (2020-2023) and Vrije Universiteit Brussel (2020-2023). She has been awarded grants such as the NWO VIDI and BOF Postdoctoral Fellowship. Her editorial roles include serving on the boards of the Electronic Journal of Linear Algebra and The Electronic Journal of Combinatorics. Research Interests: Spectral graph theory, coding theory, quantum information, finite geometry Key Achievements: Over 60 publications, including works on sum-rank metric codes and cospectral hypergraphs Teaching: Courses like Algebraic Combinatorics and Combinatorics and Applications Her work bridges theoretical advancements with practical applications, particularly in optimizing coding schemes and analyzing graph structures through algebraic methods.

Gabriele LigaView profile

Assistant Professor

• Digital Communications
• Information Theory
• Optical Communications
• +5 more

Gabriele Liga is an Assistant Professor at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), affiliated with the Signal Processing Systems (SPS) Group. He holds a Marie Curie Eurotech Fellowship focusing on signal shaping techniques for nonlinear optical fiber channels. His academic journey includes a Ph.D. in optical communications from University College London, followed by postdoctoral research in digital signal processing and nonlinearity compensation. Education: B.Sc. in Telecommunications Engineering from Università degli Studi di Palermo (2005), M.Sc. in Telecommunications Engineering from Politecnico di Milano (2011), and a Ph.D. in Optical Communications from University College London (2017). Research Interests: Digital communications, information theory, fiber-optic systems, nonlinearity compensation, channel coding, and multi-user optical communication theory. His work emphasizes achieving transmission limits through signal shaping and advanced signal processing techniques. Projects: Active roles in NESTOR (Next-gen optical networks), QuNEST (quantum communication security), Fun-NOTCH (nonlinear optical channel fundamentals), and SSTOC (signal shaping tailored to optical channels). Collaborations span institutions globally, focusing on optical fiber communication challenges. Awards: 2023 ACP/POEM Best Student Paper Award and 2019 OECC Best Paper Award. Serves as a reviewer for IEEE journals and OSA publications. Labs/Teams: Core member of the SPS Group and involved in interdisciplinary projects blending theory and experimental validation.

Jop BriëtView profile

Researcher

• Theoretical Computer Science
• Quantum Information Theory
• Combinatorics
• +3 more

Jop Briët is a Researcher at the Department of Algorithms and Complexity at Centrum Wiskunde & Informatica (CWI) in the Netherlands. His work focuses on theoretical computer science, quantum information theory, combinatorics, and tensor analysis. He has held grants including the Veni Innovational Research Grant from NWO and a Rubicon fellowship. He has authored over 50 publications in leading venues, exploring topics such as Grothendieck inequalities, quantum computing, and additive combinatorics. His research interests span the interplay between combinatorics and computational complexity, with particular emphasis on tensor analysis, probabilistic methods, and algorithm design. Recent work includes studies on Szemerédi’s theorem with random differences and the application of quantum query algorithms to entanglement-based problems. Awards: Outstanding paper award TQC (2020), Andreas Bonn medal (2013), Stieltjesprijs (2011). Professional Activities: Editor for ERCIM News, Board Member of Koninklijk Wiskundig Genootschap, and frequent invited speaker at workshops on quantum computing and combinatorics. Grants: Veni Grant (2014), Rubicon Fellowship (2012). Current teaching includes courses on Additive Combinatorics and Quantum Information Processing, reflecting his commitment to bridging foundational theory with advanced applications in computing and mathematics.

Peter van der HeijdenView profile

Professor

• Categorical Data Analysis
• Data Science
• Multivariate Statistics
• +3 more

Prof. Peter van der Heijden is a Professor of Statistics for the Social and Behavioural Sciences at Utrecht University's Department of Methodology and Statistics. He also holds a professorship in Social Statistics at the University of Southampton. His roles include chairing the Ethical Review Board and the Committee for Policy on Integrity at Utrecht's Faculty of Social and Behavioural Sciences. He chairs the Advisory Council on Methodology and Quality of Statistics Netherlands and serves on the Executive Board of the European Statistical Advisory Committee (ESAC). Since 2017, he has led Utrecht's Applied Data Science focus area, focusing on human-centered AI and data-driven solutions. His research emphasizes population size estimation, fraud detection, and categorical data analysis, with applications for Dutch ministries and international bodies like the UN. He has pioneered methods for estimating human trafficking victims and optimizing healthcare treatments using multilevel models and neural networks. Key projects include the AI for Health initiative with Utrecht Medical Center and Wageningen University. His work bridges statistical rigor with societal impact, addressing challenges in criminal justice, public health, and policy-making through innovative methodologies. Universities: Utrecht University (Primary), University of Southampton Key Committees: European Statistical Advisory Committee, UN Human Trafficking Monitoring Research Themes: Multiple Systems Estimation, Data Science for Social Issues Research interests span statistical methods for complex societal problems, including: Register linkage and fraud detection Machine learning applications in healthcare Human trafficking prevalence estimation His publications (2019-2023) highlight advancements in multilevel modeling, randomized response techniques, and AI-driven clinical data classification. He has advised on policy frameworks for official statistics and contributed to global initiatives like the UN Sustainable Development Goals (Target 16.2). Grants and collaborations include projects with Dutch ministries, the EU, and international organizations. Current initiatives involve optimizing Hepatitis C treatment networks and improving criminal recidivism prediction models. His leadership in interdisciplinary teams ensures methodological innovation addresses real-world challenges.

Wim KorevaarView profile

Researcher

• Optical Satellite Communications
• Quantum Communications
• Signal Processing
• +2 more

Dr. Wim Korevaar serves as a part-time university researcher at the Signal Processing Systems (SPS) Group of Eindhoven University of Technology (TU/e), while concurrently working as a Senior Telecommunications System Engineer at TNO (Dutch Applied Research Institute) in Delft since April 2019. At TNO, he designs optical and quantum satellite communication systems for ground-to-satellite and satellite-to-satellite links, contributing to standardization efforts at CCSDS and ESA. He earned his PhD, cum laude, from Eindhoven University of Technology for pioneering work on Hermite-based multi-user communication schemes as an alternative to Fourier-based systems. During his doctoral studies, he founded two companies subsequently acquired in 2007 and 2019. Dr. Korevaar's research centers on optical satellite communications, quantum communications, and signal processing for telecommunications, with specific expertise in end-to-end system performance analysis, modem design, and signal processing techniques for space-based systems. His work actively bridges academic research and industrial applications through collaborations between universities, research institutes, and private sector partners. Analysis of his 2022-2024 publications reveals a concentrated focus on advancing space communication technologies, particularly in channel modeling under atmospheric turbulence, latency-constrained fading mitigation, end-to-end performance of coherent optical feeder links, and high-speed channel coding architectures. These contributions target robust high-capacity systems for next-generation satellite networks with dual-use government and commercial applications. He currently participates in the LaiQa project (2024-2026) advancing quantum key distribution space components, and maintains active engagement with students on groundbreaking communication system innovations despite no formal advisee listings.

Marion K. Matters-KammererView profile

Professor

• Terahertz Technology
• Millimeter-Wave Systems
• Integrated Circuits Design
• +3 more

Marion K. Matters-Kammerer is a Full Professor of Electrical Engineering at Eindhoven University of Technology, leading research in terahertz (THz) and millimeter-wave systems. She holds positions in the Center for Wireless Technology, THz Electronics and Integration Lab, and RF Sensing & Communication Lab. Her expertise includes integrated circuits, antenna design, and power amplifier systems. She has led EU projects like 3DmicroTune and ULTRA, and co-authored over 70 journal/conference papers with 13 US patents. Education: MSc in Physics from École Normale Supérieure (Paris) and TU Berlin (1999), PhD in Physics from RWTH Aachen (2007). Past roles include Senior Scientist at Philips Research (1999–2011) and Guest Professor at RWTH Aachen (2009–2010). Research focuses on THz spectroscopy, mm-wave integrated circuits, and energy-efficient wireless systems. Key projects involve THz biosensing, 60 GHz sensor networks, and co-integration of photonics and electronics. Her work addresses UN SDGs like affordable and clean energy, and industry-academia collaboration via NXP Smart Mobility projects. Recent articles highlight advancements in mm-wave power amplifiers, waveguide integration, and radar signal processing. Grants include €2.5M for TeraIBs (2025–2028) and €1.8M for Future Wireless Interfaces (2024–2029). Labs include THz Electronics Lab and RF Sensing Team, advancing sensor and communication technologies.

Evert van NieuwenburgView profile

Assistant Professor

• Quantum Physics
• Machine Learning
• Condensed Matter Physics
• +6 more

Dr. Evert van Nieuwenburg is an Assistant Professor at Leiden University, affiliated with both the Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Institute of Physics (LION). His research bridges the fields of Quantum Physics , Machine Learning , and Condensed Matter Physics , with a focus on quantum algorithms, reinforcement learning, and quantum game development (e.g., Quantum TiqTaqToe ). He actively contributes to the Applied Quantum Algorithms (aQa) initiative and leads the QuantumPlayed subgroup for quantum games and education. Research Interests: AI-driven quantum experiment control, quantum machine learning, variational quantum circuits, and quantum games for education and intuition-building. Publications: 15+ peer-reviewed works spanning quantum error correction, phase transitions, reinforcement learning in quantum systems, and quantum dot array simulations. Community Engagement: Developer of educational quantum games, open science advocate, and active participant in interdisciplinary initiatives. Selected Trends: His work demonstrates AI's transformative role in quantum physics, from decoding error-correcting codes with graph neural networks to merging reinforcement learning with quantum control systems. Labs & Initiatives: Affiliated with the Applied Quantum Algorithms (aQa) initiative and co-founder of QuantumPlayed , where quantum mechanics meets game theory to engage diverse audiences.

Laura ToniView profile

Associate Professor

• Machine Learning
• Signal Processing
• Immersive Communications
• +5 more

Laura Toni is an Associate Professor in the Department of Electronic & Electrical Engineering at University College London (UCL). She serves as Director of the MSc in Telecommunications and Internet Engineering and the MRes in Telecommunications. Additionally, she is a Turing Fellow at the Alan Turing Institute and a member of ELLIS (European Lab for Learning and Intelligent Systems). Her research focuses on coding, streaming technologies, machine learning for immersive communications, decision-making under uncertainty, and large-scale signal processing. She leads the LASP (Learning And Signal Processing) group at UCL. Education: MSc (2005) and PhD (2009) from the University of Bologna, followed by postdoctoral research at UC San Diego and EPFL under Professors L. Milstein, P. Cosman, and P. Frossard. Key roles include Technical Program Chair at ACM MM 2022, Keynote Co-Chair at ACM MMSys 2022, and leadership in organizing workshops on graph-based machine learning and emerging technologies in performing arts. She is a Senior IEEE Member and holds editorial roles in IEEE Multimedia Magazine and EURASIP Journal on Signal Processing. Her work bridges communication systems and machine learning, with contributions to adaptive streaming, network optimization, and graph signal processing. She actively promotes diversity and inclusion in technical conferences, including roles as Diversity Chair at MMSys 2021 and PIMRC 2020.

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.

• Cybersecurity
• Computer Security
• Hardware Security
• +6 more

Herbert Bos is a Full Professor at Vrije Universiteit Amsterdam, holding positions in the Faculty of Science (Computer Systems department), the Network Institute, and the Systems and Network Security group. His research focuses on hardware and software security, including transient execution attacks, memory exploitation, and vulnerability detection. He has authored over 229 research outputs, including influential papers on Spectre mitigation, Rowhammer attacks, and fuzzing techniques. Notable contributions include frameworks like PANDAcap and BinRec. Bos teaches courses such as Binary and Malware Analysis and Operating Systems. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure security. Education details are not explicitly provided, but his academic titles (prof. dr. ir.) suggest advanced degrees in computer science and engineering. Ancillary activities include roles as an author for Pearson textbooks and a member of the Kiesraad in The Hague. Research interests emphasize cutting-edge hardware vulnerabilities (e.g., Spectre, Rowhammer), memory safety, and automated testing (fuzzing). Recent work highlights practical defenses against transient data leaks (Phantom Trails) and data-only attacks. Collaborations span international institutions, reflecting his global influence in cybersecurity. Publications since 2016 showcase advancements in CPU architecture security, kernel exploitation, and embedded device defenses. His datasets (e.g., PANDAcap SSH Honeypot) provide foundational resources for the security community. Grants and lab affiliations are inferred through his research outputs and teaching roles.

Nicolas ReschView profile

Assistant Professor

• Coding Theory
• Cryptography
• Theoretical Computer Science
• +1 more

Nicolas Resch is an Assistant Professor at the Theoretical Computer Science Group within the Informatics Institute at the University of Amsterdam (UvA). His research focuses on coding theory, cryptography, and their intersections, with prior postdoctoral work at Centrum Wiskunde & Informatica (CWI) under Ronald Cramer. He earned his PhD from Carnegie Mellon University (CMU) advised by Venkatesan Guruswami and Bernhard Haeupler. Education: PhD (CMU), advised by Venkatesan Guruswami and Bernhard Haeupler. Resch's research addresses theoretical challenges in code-based cryptography, list decoding, and secure communication. His work includes advancements in randomness-efficient codes, smoothing bounds for lattices, and protocols for oblivious transfer and interactive coding. Articles reflect trends in post-quantum cryptography, error-correcting codes, and computational complexity. He has received the 2022 Veni award from NWO for his proposal "Secure and Efficient Code-Based Cryptography" and is invited to key workshops such as Oberwolfach (2025) and TIFR ICTS (2025). His supervision includes PhD students Lydia Tasiou and Martijn Brehm, alongside MSc and BSc advisees. Scientific Awards: 2022 Veni laureate (NWO) Resch teaches courses in information theory and modern cryptography at the UvA, with recent invitations to Simons Institute programs and Oberwolfach workshops. His work bridges theoretical foundations with practical cryptographic applications.

Alberto RavagnaniView profile

Associate Professor

• Coding Theory
• Network Communication
• Combinatorics
• +4 more

Alberto Ravagnani is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), the Netherlands. He specializes in the mathematical foundations of communication theory, with a focus on coding theory, network communication, and combinatorics. His research addresses challenges in error-correcting codes, network coding, quantum error correction, and applications in data storage and cryptography. He holds a PhD from the University of Neuchâtel, Switzerland, and has held academic positions at institutions including University College Dublin, Ireland, and the University of Zurich. His work has been recognized with awards such as the KNAW Early Career Award (2021), Ambizione Research Grant (2019), and the Nexans Prize (2017). Ravagnani’s research spans theoretical and applied domains, including rank-metric codes, network decoding, and combinatorial structures. His recent publications explore eigenvalue bounds for codes, densities in metric spaces, and evasive subspaces. He is actively involved in editorial roles for journals like IEEE Transactions on Information Theory and Designs, Codes and Cryptography. His teaching includes courses on coding theory and combinatorics, and he has mentored multiple PhD students in areas such as DNA storage and quantum error correction. Key grants include a NWO Gravitation Grant (EUR 10M) and an EuroTech PhD Program Grant (EUR 235K).

Jasper PostemaView profile

Researcher

• Quantum Computing
• Quantum Error Correction
• Neutral Atom Physics
• +3 more

Jasper Postema is a doctoral candidate at Eindhoven University of Technology (TU/e), specializing in Applied Physics and Science Education within the Coherence and Quantum Technology department. He is part of the KAT-1 project on Rydberg Atom Quantum Computing and Simulation. Postema holds a Bachelor's and Master's degree in Applied Physics from TU/e, with additional studies in theoretical physics at Radboud University focusing on general relativity and quantum gravity. His research focuses on quantum error correction protocols for neutral atom quantum computers, analyzing error channels, and exploring CSS codes derived from algebraic geometry. Research Interests: Quantum error correction codes (e.g., CSS codes, algebraic geometry codes) Neutral atom quantum computing architectures Quantum algorithms for chemistry and time series analysis Multi-qubit interaction engineering Key Contributions: Developed hybrid quantum singular spectrum decomposition for time series analysis Explored entangled photon production via nonlinear Compton scattering Investigated logical qubit fidelities in neutral atom quantum systems Postema contributes to the KAT-1 project, a collaboration involving researchers from TU/e and international partners, focusing on advancing neutral atom quantum technologies.

Ronald de WolfView profile

Professor

• Quantum Computing
• Complexity Theory
• Error-Correcting Codes
• +3 more

Ronald de Wolf is a part-time Full Professor at the Institute for Logic, Language and Computation (ILLC), University of Amsterdam, and a researcher/group leader at the Algorithms and Complexity group of CWI (Dutch Centre for Mathematics and Computer Science). He is an active member of QuSoft and the Amsterdam Theoretical Computer Science ecosystem. His PhD was completed at CWI and ILLC, followed by postdoctoral research at UC Berkeley. Research Focus: De Wolf specializes in quantum computing, complexity theory, and algorithm design. His work explores quantum advantages in computation, communication, and learning, with applications in optimization, machine learning, and information theory. Recent investigations include quantum algorithms for linear algebra, error correction, and communication complexity. Publication Trends: His recent articles (2020-2025) predominantly focus on quantum algorithmic advantages, complexity bounds, and practical applications in machine learning and optimization. Key themes include quantum speedups for linear algebra, error-resilient quantum protocols, and theoretical limits of quantum computation. Awards & Honors: ERCIM Cor Baayen Award (2003) STOC Best Paper Award (2012) STOC Test-of-Time Award (2022) Gödel Prize (2023) Academic Leadership: He currently advises PhD student Lynn Engelberts and has graduated 10 doctoral students. As coordinator of the NWO Gravitation program Quantum Software Consortium , he oversees major research initiatives. He secured participation in EU projects (QAIP, RESQ, QAP, QCS, QALGO, QuantAlgo) and leads research teams at CWI and QuSoft.