Find Academic Supervisors

Boris Karanov is a post-doctoral research member at the Signal Processing Systems Group within the Department of Electrical Engineering at Eindhoven University of Technology since October 2020. His research focuses on applying deep learning techniques to digital signal processing in optical fibre communications. His academic background includes a Ph.D. in Electrical Engineering from University College London (awarded December 2020), where his research focused on developing new coding and detection methods for communication over the nonlinear dispersive optical fibre channel using deep learning. He also holds joint M.Sc. degrees in Photonic Networks Engineering from Aston University, Osaka University, and Technical University of Berlin (2016), and a B.Sc. in Telecommunication Engineering from Technical University of Sofia (2014). Dr. Karanov's research interests span optical fiber communications, digital signal processing, deep learning applications in communications, nonlinear fiber effects, and transceiver design. His work bridges theoretical communication principles with practical AI-driven solutions for next-generation communication systems. His recent publications demonstrate a strong trend toward applying neural networks and deep learning techniques to solve challenging problems in optical communications, radar signal processing, and speech enhancement. The research shows increasing focus on robustness of AI solutions under real-world constraints and imperfect channel conditions. Nokia 'Most innovative AI solution' award (2018) for pioneering work in machine learning applications to communication systems 'Best paper award' from IEEE/OSA Journal of Lightwave Technology (2021) Lombardi prize from Electronic and Electrical Engineering department at UCL (2021) for the most impactful thesis Dr. Karanov is actively involved in multiple research projects including RAISE SPS (Robust AI for Safe radar signal processing), RAIDAR (AI for RaDAR), and ICONIC (Increasing the Capacity of Optical Nonlinear Interfering Channels), collaborating with institutions across Europe. His work in the Signal Processing Systems Group at Eindhoven University of Technology continues to push the boundaries of applying AI to communication challenges.

• Optical Fiber Communications
• Digital Signal Processing
• Deep Learning
• +5 more

Kaiquan Wu is a doctoral candidate and postdoc researcher at Eindhoven University of Technology (TU/e), Netherlands, specializing in digital signal processing for fiber-optic communication systems. His research focuses on error correction codes, coded modulation, and channel modeling. PhD Candidate in Electrical Engineering (Signal Processing Systems) Postdoc in Electrical Engineering (ICT Lab) Member of the ICONIC , BIT-FREE , and DIGI-OPT research projects Research interests include combating signal impairments in optical systems through advanced DSP techniques, such as decision feedback equalizers (DFE), geometric shaping, and low-complexity detection algorithms. He has published extensively on FSO systems, IM-DD links, and energy dispersion analysis. Collaborations involve developing simplified FSO channel models, low-complexity architectures for data center applications, and patent innovations in amplitude shaping methods. His work contributes to increasing the capacity of optical communication systems while reducing complexity and error rates.

• Digital Signal Processing
• Fiber-Optic Communication Systems
• Error Correction Codes
• +3 more

Hamdi Joudeh is an Associate Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). He is affiliated with the Information and Communication Theory (ICT) Lab and the Signal Processing Systems (SPS) Group. His research focuses on information theory, communications, and signal processing, with applications in wireless networks and radar systems. He holds a Ph.D. in Electrical Engineering from Imperial College London and has held research positions at Technische Universität Berlin and Imperial College London. His research interests include quantum sensing, error exponents, MIMO systems, and channel coding. He leads projects such as the IT-JCAS (Information Theoretic Foundations of Joint Communication and Sensing) and ANTERRA (Beam Prediction for Fast-Moving LEO), addressing challenges in 5G/6G communication and radar technologies. He has received an ERC Starting Grant (2023) for his work on environment-scanning mobile networks. Education: Ph.D. in Electrical Engineering (Imperial College London), M.Sc. in Communications and Signal Processing (Imperial College London) Editorial Roles: Editorial board member of IEEE Transactions on Signal Processing , IEEE Communications Letters , and EURASIP Journal on Wireless Communications and Networking Labs/Teams: ICT Lab, SPS Group, and leads projects at TU/e’s Center for Wireless Technology Grants: ERC Starting Grant, TKI-HTSM/22.0547/TKI2212P11 RAIDAR, and others His recent work explores the intersection of communication and sensing, including quantum radar processing and robust beamforming techniques. He has published extensively on topics like error exponents, MIMO channel analysis, and interference management, with over 40 peer-reviewed articles.

• Information Theory
• Communications
• Signal Processing
• +3 more

Dr. Sara Ahmadi is a Lecturer in Artificial Intelligence at Radboud University, affiliated with the Donders Institute for Brain, Cognition and Behaviour. Her primary research focuses on Brain-Computer Interfaces (BCI), deep learning techniques, and neurotechnology. She actively contributes to advancing BCI systems through studies on Bayesian methods, auditory attention decoding, and gaze-independent signal processing. Her research interests span dynamic stopping algorithms for BCI, multimodal attention tracking, and optimizing VEP-based systems. She teaches courses such as 'AI in the Professional Workfield' and 'Digital Signal Processing,' reflecting her expertise in both theoretical and applied AI. Dr. Ahmadi’s work bridges neuroscience and engineering, with a focus on improving BCI usability and robustness in volatile environments. Her recent studies include pilot experiments on noise-tagging for covert attention monitoring and reinforcement learning models for decision-making systems. She is part of the Brain Computer Interfacing research group at the Donders Institute, collaborating on cutting-edge neurotechnology projects.

• Brain-Computer Interfaces
• Deep Learning
• Neuroscience
• +3 more

Andreas Hülsing is an Associate Professor leading the Applied and Provable Security (APS) group at Eindhoven University of Technology (TU/e). His research focuses on post-quantum cryptography, encompassing theoretical models of quantum attacks, formal security arguments, and applied areas like side-channel attacks and hash-based signature schemes. He holds a PhD from TU Darmstadt and has held roles as assistant professor, postdoctoral researcher, and research fellow at institutions including TU Darmstadt, TU/e, and Fraunhofer SIT. Education: PhD in Cryptography and Computer Algebra (TU Darmstadt, 2013), Diploma in Computer Science (TU Darmstadt, 2008). Research Interests: Post-quantum cryptographic protocols, hash-based signatures (e.g., SPHINCS+, XMSS), security proofs, quantum-resistant algorithms, and cryptographic standardization. Current projects include the NWO Vidi grant for post-quantum theory and collaboration with SandboxAQ on high-assurance cryptographic software. Grants & Awards: NWO Vidi Grant (2019) supporting his research on post-quantum cryptography fundamentals. Advising: Mentors PhD students including Silvia Ritsch and Fiona Weber, with past advisees like Leon Groot Bruinderink (PhD 2019). Supervises postdocs such as Kathrin Hövelmanns, now an APS group assistant professor. Professional Service: Co-Editor-in-Chief of IACR Communications, program committee roles for major conferences (e.g., SAC, PQCrypto), and organizer of events like the PQC Spring School and QUIQUES workshop. Teams & Labs: Leads TU/e's APS group and collaborates with Coding Theory and Cryptology groups, contributing to initiatives like the Formosa project for cryptographic software validation.

• Post-Quantum Cryptography
• Cryptography
• Quantum Computing Security
• +3 more

Boris Škorić is an Associate Professor in the Security of Embedded Systems (SEC) group at the Department of Mathematics and Computer Science, Technische Universiteit Eindhoven. His research focuses on quantum cryptography, security with noisy data, and collusion-resistant watermarking. He is affiliated with the CREST project and has contributed to advancements in quantum-secure authentication and quantum key distribution protocols. Education : Ph.D. in Physics (Quantum Hall Effect), M.Sc. in Physics His research interests span three core areas: (1) Security with noisy data, addressing challenges in cryptographic primitives using physical measurements; (2) Quantum physics for security, including quantum readout of Physical Unclonable Functions (PUFs) and quantum key recycling; and (3) Collusion-resistant watermarking codes for digital content protection. He has pioneered techniques such as quantum-secure authentication via laser speckle and error correction methods for secure key storage. His publications reflect a strong emphasis on quantum security, including developments in continuous-variable quantum key distribution, entropically secure encryption, and quantum position verification. Recent work explores applications in healthcare data protection and secure communication over turbulent optical channels. Grants & Labs : Active in the CREST project (Collusion-Resistant Embedding and Secure Tracing) and collaborates with industry on quantum-secure technologies. Leads research in the SEC group, mentoring projects on cryptographic protocols and embedded system security.

• Quantum Cryptography
• Information Security
• Digital Forensics
• +3 more

Han Wu is a postdoctoral researcher at the Information and Communication Theory Lab, Eindhoven University of Technology, Netherlands. He holds an MSc in Electrical Engineering from Chalmers University of Technology, Sweden (2020), and completed his PhD candidacy in Electrical Engineering at Eindhoven University from 2021 to 2025. Master of Science (MSc) in Electrical Engineering, Chalmers University of Technology (2020) PhD Candidate in Electrical Engineering, Eindhoven University of Technology (2021–2025) Han’s research focuses on information theory and its applications, particularly in communication systems and data compression. His work explores advanced topics such as error exponents, logarithmic loss in source coding, and joint communication and sensing. He investigates theoretical challenges in discrete memoryless channels, distortion measures, side information, and decoding error analysis. Recent trends in his publications include theoretical frameworks for information bottleneck channels, optimal rate design in noisy environments, and asymptotic analysis of logarithmic loss in variable-length coding. His research emphasizes the integration of signal processing and information theory to address challenges in communication protocols and structural components. Han is a project member of IT-JCAS (2024–2028), focusing on information-theoretic foundations of joint communication and sensing. Collaborators include Joudeh, Lampel, and Yılmaz. His work has been cited 16 times in Scopus and received 200+ downloads from institutional repositories. He is affiliated with the Information and Communication Theory Lab at Eindhoven University, contributing to cutting-edge research in communication systems and theoretical signal processing.

• Information Theory
• Communication Systems
• Data Compression
• +3 more

Alexios Balatsoukas Stimming is Assistant Professor in the Signal Processing for Communications Lab at Eindhoven University of Technology, with an adjunct appointment at Rice University. His research bridges communications theory, hardware implementation, and machine learning. Research Focus Develops algorithms and hardware for error-correction coding, wireless communications, and RF sensing systems. Current work focuses on low-complexity decoders for emerging standards, machine learning for signal processing, and full-duplex communication systems. Publication Trends Recent work demonstrates advances in polar/LDPC decoder architectures, Wi-Fi sensing techniques, and machine learning applications for demodulation. Strong emphasis on hardware-efficient implementations for 5G/6G systems. Projects & Service BIT-FREE: Hybrid coded modulation for free-space optics Editor for IEEE Journal on Selected Areas in Communications Program committee member for multiple IEEE conferences

• Signal Processing
• Error-Correction Coding
• Machine Learning
• +3 more

Bin Chen is a researcher at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), focusing on optical communications, signal processing, and information theory. He holds a PhD from University College Dublin (2015), supported by the China Scholarship Council and Science Foundation Ireland. His roles include Postdoc positions in the Signal Processing Systems (SPS) and Electro-Optical Communication Systems (ECO) groups at TU/e, and a current guest researcher affiliation. His research emphasizes geometric shaping, coded modulation, and nonlinear channel mitigation in optical systems. Education: B.Sc. Electronic Information Science and Technology, Hefei University of Technology (2010) Ph.D. Electronics and Communications Engineering, University College Dublin (2015) Affiliations: Signal Processing Systems Group (SPS) Electro-Optical Communication Systems (ECO) Group ICT Lab Research interests include optical communication systems, cooperative communications, channel coding, and network coding. Key achievements include over 60 peer-reviewed publications and awards such as the Asia Communications and Photonics Conference Best Paper Awards (2018, 2022). He has contributed to projects like PATRIOT (coded modulation optimization) and NLCAP (nonlinear capacity maximization in optical channels). Grants and collaborations span EU-funded initiatives and industry partnerships. His work on multidimensional constellations and fiber nonlinearity models has advanced long-haul transmission systems. Current projects explore neural network-based demappers and hybrid decoding techniques.

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

Marco J.G. Bekooij is a Full Professor holding dual appointments in Computer Architecture Design and Test for Embedded Systems and the Digital Society Institute . His research focuses on advancing embedded systems, radar technology, neural networks, and signal processing. Key areas include automotive radar object detection, sensor fusion, and energy-efficient decoding algorithms. His work contributes to UN Sustainable Development Goals through innovations in smart technologies. Recent research trends emphasize optimizing algorithms for automotive applications and integrating neural networks with traditional signal processing techniques. He has supervised 11 academic works, fostering next-generation expertise in embedded systems and radar engineering. Collaborations span international conferences such as IEEE Radar and Euromicro DSD, reflecting his global academic engagement. While no specific grants or awards are listed, his extensive publication record (94+ outputs) highlights sustained research excellence.

• Computer Science
• Machine Learning
• Signal Processing
• +3 more

Ruud Pellikaan is a Part-time Assistant Professor at the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He is affiliated with the Coding Theory and Cryptology group, focusing on algebraic geometry codes and quantum error correction. Contact details include email g.r.pellikaan@tue.nl and office location MetaForum 6.097B. Holds MSc in Mathematics from University of Amsterdam PhD in 1985 from University of Utrecht Postdoctoral work at Free University of Amsterdam (1987) Pellikaan's research centers on algebraic geometry codes , particularly their application to quantum error correction . His work involves finite geometry, combinatorics, and singularity theory, aiming to enhance quantum code parameters through entanglement. Recent publications highlight advancements in entanglement-assisted quantum codes using algebraic geometry and cyclic codes. Key topics include: Classification of geometric structures in finite projective spaces Construction of maximum distance separable quantum codes Asymptotic properties of algebraic function field towers With six PhD students supervised and extensive contributions to coding theory, Pellikaan's work bridges classical coding techniques with quantum computing applications.

• Algebraic Geometry Codes
• Quantum Error Correction
• Singularity Theory
• +4 more

Dr. Alexios Balatsoukas-Stimming is an Assistant Professor in the Electronic Systems group of the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). His research focuses on the intersection of communications, hardware design, and machine learning, with specific interests in VLSI circuits for communications, error-correction coding, non-linear signal processing, and massive MIMO systems. He also explores applications of approximate computing and machine learning in communication signal processing. Education: Dipl.-Ing. (2010) Electronics and Computer Engineering, Technical University of Crete MSc (2012) Electronics and Computer Engineering, Technical University of Crete PhD (2016) Computer and Communications Sciences, École polytechnique fédérale de Lausanne (EPFL) Research Interests: His work emphasizes interdisciplinary approaches to improve communication systems' speed, reliability, and energy efficiency. Key areas include VLSI implementation of coding algorithms, belief propagation decoding, and leveraging machine learning for signal processing tasks. He has contributed to advancements in polar codes, LDPC codes, and full-duplex communication systems. Affiliations: Holds an honorary adjunct assistant professor position at Rice University (USA). Active in conferences and journals as a committee member, founding editor (IEEE journal), and reviewer. Labs/Teams: Associated with the Signal Processing for Communications Lab , Electronic Systems group, Center for Wireless Technology Eindhoven , and the EAISI initiative at TU/e.

• VLSI Circuits for Communications
• Error-Correction Coding Theory
• Non-Linear Signal Processing
• +3 more

Carmen Álvarez Roa is a Researcher at the Department of Electrical Engineering within the College of Engineering at Eindhoven University of Technology (TU/e) , Netherlands. She is part of the Signal Processing Systems (SPS) Group under the BIT-FREE: Hybrid coded modulation for reliable and power-efficient coherent free-space optics project.

• Free-Space Optical Communication
• Channel Modeling
• Bit Error Rate
• +4 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.

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

Monika Trimoska is an Assistant Professor at the Coding Theory and Cryptology group at Eindhoven University of Technology (TU/e) , where she has worked since 2023. Previously, she was a postdoc at Radboud University and obtained her Ph.D. in cryptography at the University of Picardie Jules Verne under the supervision of Gilles Dequen and Sorina Ionica. She has also served as a Teaching and Research Assistant at her alma mater. Current Affiliation: Assistant Professor, TU/e (2023–present) Previous Affiliations: Postdoc at Radboud University (2021–2023), Teaching/Research Assistant at University of Picardie (2017–2021) Research Interests revolve around cryptanalysis of post-quantum cryptosystems , focusing on multivariate , code-based , and isogeny-based systems. Her work bridges theoretical and practical security analysis, particularly through SAT solvers and fault injection attacks . Recent Publications demonstrate expertise in algebraic attacks against digital signature schemes like MQ-Sign and CSIDH , with a focus on code equivalence problems , trilinear forms , and parallel collision search . She has also contributed to homomorphic encryption applications. Teaching Activities include courses on Applied Number Theory and Algebra and guest lectures on isogeny-based cryptography at Radboud University. She has co-supervised multiple Ph.D. , Master’s , and Bachelor’s students. Technical Contributions include open-source tools like WDSat (SAT solver for Weil descent) and MCE (Matrix Code Equivalence implementations).

• Cryptanalysis
• Post-Quantum Cryptography
• Multivariate Cryptography
• +6 more