Symeon Chatzinotas is a Full Professor at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), leading research in Signal Processing and Communications. His work advances 6G networks, quantum communications, reconfigurable intelligent surfaces, and integrated satellite-terrestrial systems. Recent publications explore quantum MIMO channels, digital twins for 6G ecosystems, and STAR-RIS-enhanced satellite networks. Research shows strong emphasis on next-generation wireless technologies and cross-domain network integration.
Alexander SKUPIN is an Associate Professor and Chief Scientist in the Luxembourg Centre for Systems Biomedicine (LCSB) at the University of Luxembourg, specializing in Modelling of Biomedical Data. His research focuses on computational systems biology, neurodegenerative diseases, and integrative multi-omics analysis. Key research interests include modeling cellular energy metabolism, microglial dynamics in neurodegeneration, and calcium signaling dysfunction in Parkinson’s and Alzheimer’s diseases. His work combines experimental data with advanced computational methods to dissect disease mechanisms and predict therapeutic targets. Recent publications highlight innovations in: Sex-specific transcriptomic changes in tauopathy models Computational models of astrocytic morphology and mitochondrial efficiency Multi-omics integration for Parkinson’s disease intervention points Epidemiological modeling using Kalman-filtered SIRS networks No scientific awards explicitly mentioned. Advising and grants: No specific advisees or grant details listed, but his work implies leadership in collaborative projects involving organoid models and patient-derived xenografts. Labs/Teams: Part of LCSB’s Integrative Cell Signalling group, collaborating on systems biomedicine initiatives involving computational modeling and experimental validation.
Eva LAGUNAS is an Assistant Professor and Deputy-Head of the SIGCOM research group at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) , University of Luxembourg. Her expertise lies in Non-Terrestrial Communication Systems , focusing on radio resource management and wireless networks optimization. She holds a Ph.D. and M.Sc. in Telecommunications Engineering from the Polytechnic University of Catalonia (UPC), Barcelona. Key Affiliations & Roles: Principal Investigator (PI) of the FNR CORE project VARRAY-5G (Vehicular Phase Array Antennas for 5G) PI of the CHIST-ERA project SHIELD (Secure Distributed Learning & Smart Contract Ecosystems) Co-PI in the ESA ARTES-funded NeuroSat project (Neuromorphic Processors for SatCom) Deputy-Head of SIGCOM group and active contributor to the TelecomAI-Lab (AI-driven satellite communication) Event organizer: Special Session on ML for NTN at IEEE ICMLCN 2025, Track Chair at EUCNC 2025 Research Interests: Non-Terrestrial Networks (NTN), 6G integration, satellite-ground network convergence, AI-driven optimization, reconfigurable intelligent surfaces (RIS), and neuromorphic computing for onboard processing. She also leads efforts in vehicular communications and energy-efficient satellite payloads. Recent Achievements: 2025: Elected to the EURASIP Board of Directors 2024: Listed in the 100 Brilliant and Inspiring Women in 6G list 2023: Co-authored NeuroSat project's IEEE publication on neuromorphic computing for SatCom Labs & Projects: TelecomAI-Lab : Developing neuromorphic hardware (e.g., Intel Loihi2, BrainChip AKIDA) for satellite applications ESA NeuroSat : Pioneering neuromorphic processors for onboard SatCom resource management Grants & Funding: Secured Luxembourg National Research Fund (FNR) and CHIST-ERA grants for projects like VARRAY-5G and SHIELD, totaling over €2M in research investment.
Intidhar BEDHIEF serves as a Postdoctoral researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg, specifically affiliated with the SigCom research group. Her work focuses on advancing secure and reliable communication systems through interdisciplinary research. Her core research interests include: Cybersecurity Signal Processing Communications Reliability Engineering Trustworthy Systems These fields align with SnT's mission to address critical challenges in security and reliability for next-generation information technologies. BEDHIEF operates from the JFK campus (29, boulevard J.F. Kennedy, L-1855 Luxembourg) in office JFK, E02 211, contributing to the SigCom team's efforts in developing robust signal processing frameworks for secure communications infrastructure.
Jorge GONCALVES is a Full Professor at the Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, and a Principal Research Associate at the University of Cambridge's Department of Plant Sciences. He holds expertise in computational biology, systems biomedicine, and machine learning applications in healthcare. His roles include leading research on gene regulatory networks, epidemic modeling, and deep brain stimulation technologies. Education: Licenciatura from University of Porto (1993), M.S. and Ph.D. from MIT (1995/2000). Postdoctoral work at MIT and Caltech, followed by academic positions at the University of Cambridge (Lecturer, Reader, Principal Research Associate). Visiting Professorships at the University of Luxembourg and Caltech. Research Interests : Dynamical systems modeling, network inference, biomedical applications of AI, and systems biology. His work spans drug repositioning, early warning signals for disease transitions, and multiomics analysis in immunology. Publications : Focused on interdisciplinary approaches combining machine learning with biological systems. Key themes include computational methods for gene network analysis, epidemic monitoring systems, and AI-driven medical diagnostics. Awards : Not explicitly listed in provided texts. Advising and grants: Extensive collaboration with institutions globally, including leadership in EU-funded projects and industry partnerships. Active in mentoring researchers across computational biology and engineering disciplines. Labs/Teams: Leads LCSB teams focused on systems biomedicine and AI-driven health solutions. Collaborates with the University of Cambridge on plant sciences and robotics initiatives.
Luis A. Leiva is an Assistant Professor in the Department of Computer Science at the University of Luxembourg’s Faculty of Science, Technology and Medicine. He leads the Computational Interaction research group and serves as director of the Interdisciplinary Lab for Intelligent and Adaptive Systems (ILIAS). His academic background includes a PhD in Computer Science (with honors), an MAS in Pattern Recognition and Artificial Intelligence, an MSc in Electrical Engineering, and dual BSc degrees in Industrial Design and Industrial Engineering, all from the Universitat Politècnica de València (UPV). His research lies at the intersection of Human-Computer Interaction (HCI) and Machine Learning , with a focus on computational interaction . He investigates methods to enable, explain, and support user interaction through computational models and data-driven techniques. His key areas include implicit interaction —leveraging behavioral signals such as mouse movements and gaze—and synthetic data generation , particularly using kinematic models to simulate human-like gestures. His work has contributed to usability evaluation, user engagement prediction, adaptive interfaces, and stroke gesture modeling. His recent publications span top-tier journals and conferences such as ACM Transactions on Computer-Human Interaction (TOCHI) , IEEE Transactions , CHI , IUI , and SIGIR . The research trends reflect a strong emphasis on multimodal interaction, affective computing, brain-computer interfaces, and deep learning applications in user interface modeling and personalization. Best paper award at IUI'25 Marie Skłodowska-Curie Actions (MSCA) Seal of Excellence (2019) Extraordinary PhD thesis award (2014) Outstanding Reviewer Recognition at CHI, ICMI, MobileHCI, and UIST Quality Teaching Awards finalist at Aalto University (2020) Luis A. Leiva has advised numerous MSc and BSc students at the University of Luxembourg and Aalto University and has secured significant research funding as PI or co-PI for projects such as SYMBIOTIK (EIC), SCRIPTOR (FNR), BANANA (CHIST-ERA), and SAMUSE (Audacity). He is an Associate Editor for the International Journal of Human-Computer Studies and Machine Learning with Applications , and actively serves on the program committees of major HCI and AI conferences. He is also a co-founder and former CTO of Sciling, an SME specializing in machine learning solutions, and has held postdoctoral positions at Aalto University and the PRHLT Research Center (UPV). He leads the Computational Interaction research group and the ILIAS lab, both dedicated to advancing intelligent, adaptive, and user-centered computing systems through interdisciplinary research combining machine learning, cognitive science, and interactive technologies.
Marcella ASTRID is a Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the CVI2 department. Her research focuses on advanced machine learning techniques applied to cybersecurity and computer vision challenges, particularly in the detection of synthetic media (deepfakes) and anomaly detection systems. She specializes in developing robust models that address vulnerabilities in adversarial scenarios and improve generalizability across diverse datasets. Key research areas include deepfake detection through spatio-temporal analysis, anomaly detection via novel training paradigms, and efficient neural network compression for resource-constrained environments. Her work bridges theoretical advancements in machine learning with practical applications in surveillance systems, autonomous robotics, and cybersecurity infrastructure. Recent contributions emphasize leveraging autoencoder weaknesses, pseudo anomaly generation, and localized attention mechanisms to enhance detection accuracy and model robustness. Marcella’s research also explores cross-modal learning (audio-visual synchronization) and semi-supervised methodologies to tackle data scarcity issues in critical domains like battery thermal imaging and multi-camera traffic classification. She actively publishes in top-tier venues and collaborates on interdisciplinary projects addressing real-world security and reliability challenges.
Christophe Lesschaeve is a Postdoctoral Researcher at the Department of Social Sciences, Faculty of Humanities, Education and Social Sciences, University of Luxembourg, where he has been affiliated since October 2017. His research examines political representation, voter-elites issue congruence, and the enduring effects of war on electoral behavior, particularly in Southeast European contexts. He earned his PhD in Political Science from the University of Antwerp in 2016, where his dissertation investigated inequality in opinion congruence between privileged and underprivileged voters in Belgium. During doctoral studies, he participated in the PartiRep-Project funded by the Belgian Science Policy and conducted research at the University of Leiden supported by the Fonds voor Wetenschappelijk Onderzoek (FWO). Lesschaeve's scholarly focus bridges theoretical and applied political science, analyzing how war experiences shape party choices, voter attitudes toward veterans, and pandemic-related political behaviors. His work extends to practical democratic innovation through contributions to voting advice applications (Stemtest and Test Électoral) for Belgian elections, now utilized in educational settings to familiarize students with political parties. Recent publications demonstrate methodological diversity across Southeast European case studies, examining war legacies through survey experiments, social network analysis, and comparative electoral data. Key thematic clusters include conflict-induced voting patterns, pandemic policy trade-offs, gender dynamics in postwar elections, and measurement innovations for representation inequality. He currently leads research within the ERC-funded "Electoral Legacies of War" project while maintaining collaborations from prior Belgian Science Policy funding. His non-academic engagement includes designing civic education tools that translate complex political science concepts into accessible voter resources. Lesschaeve operates within the Department of Social Sciences research ecosystem, contributing to Luxembourg's growing expertise in comparative electoral studies and conflict legacy analysis through data collection initiatives like the ELWar Expert Survey and BiHCorp parliamentary corpus.
Alexey BALITSKIY is a Postdoctoral Researcher at the Department of Mathematics within the Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg. His research focuses on geometric analysis, topology, and convex geometry, with particular attention to systolic inequalities, geometric bounds, and billiard dynamics. He explores topics such as Urysohn width, waist inequalities, and symplectic geometry, contributing to both theoretical advancements and applications in geometric optimization. His work often bridges pure mathematics with computational approaches, addressing problems in geometric measure theory, metric embeddings, and discrete geometry. Notable contributions include generalizations of classical plank inequalities and studies on equality cases in conjectures like Viterbo’s and Mahler’s. Alexey’s research is disseminated through high-impact journals such as the Journal of Topology and Analysis and collaborations on topics like flip cycles in plabic graphs and geometric complexity of planar drawings. Alexey’s publications reflect a strong focus on geometric inequalities, with recent work emphasizing codimension 2 width estimates, systolic vertex counting, and multi-plank generalizations. His work often intersects with symplectic geometry, convex billiards, and computational topology, demonstrating interdisciplinary reach. Despite no listed awards or grants, his prolific output since 2016 highlights sustained academic engagement and innovation in geometric analysis.
Juan Carlos Merlano Duncan is a Research Scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specializing in the SigCom department. He contributes to the SATSENT project with Prof. Ottersten and Dr. Symeon Chatzinotas, focusing on satellite sensor networks for spectrum monitoring. His roles include advancing technologies in wireless communications, remote sensing, and embedded systems. **Education:** Bachelor's in Engineering from Universidad del Norte (2004) M.Sc. and Ph.D. in Telecommunications from Universitat Politècnica de Catalunya (2009 and 2012) **Research Interests:** Wireless communications, remote sensing, distributed systems, Software Defined Radios (SDR), embedded systems, and AI-driven satellite technologies. His work emphasizes FPGA design, radar systems (e.g., SABRINA project), and cognitive radio networks. **Publications:** Recent work spans AI in satellite communications, digital beamforming, and energy-efficient MIMO systems. Notable themes include STAR-RIS networks, onboard image classification, and THz reconfigurable surfaces. **Grants & Advising:** No explicit grants or advisees listed, though his projects imply collaborative research funding. He has led FPGA implementations for radar and cognitive radio systems. **Labs & Teams:** Core member of SnT’s SigCom group, contributing to satellite telecommunication testbeds using COTS devices and onboard processing architectures.
Carmen Lahr is a Doctoral researcher at the University of Luxembourg's Luxembourg Centre for Systems Biomedicine (LCSB), specifically within the Integrative Cell Signalling department. Her work focuses on systems-level analysis of cellular processes, leveraging interdisciplinary approaches combining molecular biology and computational methods. While her specific research interests are not explicitly detailed in the provided text, her affiliation with the Integrative Cell Signalling department suggests a focus on topics such as signal transduction pathways, cellular communication mechanisms, and systems-level modeling of biological processes. Her research likely intersects with areas like molecular biology, biotechnology, and medical research. Publications can be accessed via the ORBilu repository linked on her profile. No awards, grants, or advised students are explicitly listed in the current data. Her professional location is at Biotech II, 6 avenue du Swing, L-4367 Belvaux, Luxembourg, with contact details available via email and phone.
Diego Andrés BLANCO MORA is a Postdoctoral Researcher at the University of Luxembourg's Luxembourg Centre for Systems Biomedicine (LCSB), specializing in the AI Modelling and Prediction department. His work focuses on interdisciplinary research at the intersection of neuroscience, neurorehabilitation, and technology. Key areas include motor control, brain-computer interfaces (BCI), and applications of virtual reality (VR) in healthcare, particularly for stroke rehabilitation. He also explores urban neuroscience, investigating how brain activity relates to urban environments and public health. Diego's research combines advanced neuroimaging techniques like fMRI and EEG with innovative technologies such as tACS, tDCS, and VR-BCI systems. His recent studies highlight causal roles of beta-band oscillations in motor control, long-term VR-BCI training outcomes in stroke patients, and the predictive power of brain imaging for urban behavior. He has also contributed to developing urban stimulus datasets derived from social media and ethical considerations in pain detection for non-communicative patients. His publications reflect a strong emphasis on translational research, aiming to bridge fundamental neuroscience discoveries with clinical and urban applications. Diego collaborates across disciplines, engaging in projects that address neurorehabilitation challenges and the neuroscientific underpinnings of urban design.
Dr. Tedros Salih ABDU is a Postdoctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the SigCom department. His work focuses on advancing satellite communication systems, particularly leveraging artificial intelligence and machine learning for optimizing resource management, ground segment planning, and network efficiency in non-geostationary and geostationary satellite constellations. His research interests span satellite communication, AI-driven network solutions, resource allocation strategies, and high-throughput systems. He explores challenges in demand-aware adaptive systems, interference mitigation, and energy-efficient designs for next-generation satellite networks. Recent publications highlight trends in AI applications for SATCOM, ground station optimization for NGSO constellations, and precoding techniques for bandwidth and power efficiency. His work contributes to both theoretical advancements and practical solutions for scalable satellite infrastructure. Dr. ABDU's affiliations include the SnT Centre at the University of Luxembourg, where he collaborates on interdisciplinary projects. He is based at the Belval Campus in Luxembourg City.
Dr. Robin AMAR is a Postdoctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), within the SPARC department. His research focuses on advanced waveform design for radar and communication systems, particularly in mmwave and automotive radar applications. He specializes in interference mitigation, Doppler-tolerant systems, and coexistence of radar-communication networks. His work integrates theoretical optimization with practical hardware implementations using platforms like USRP. Key research areas include polynomial phase waveforms, FMCW waveform optimization, and sensor network design. His studies address challenges in urban environments, spectrum sharing, and real-time signal processing. Dr. AMAR has contributed to both theoretical frameworks and experimental validations through measurement-based analyses. His expertise bridges electrical engineering, signal processing, and interdisciplinary security applications. Notable projects include designing interference-immune radar systems for automotive safety and developing dual-function waveforms for simultaneous sensing and communication. Despite no listed awards, his work demonstrates impactful contributions to radar technology innovation. He collaborates within SPARC's research teams but no specific labs or grants are detailed in the provided information.
Thomas FEUILLEN is a Research Scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the Signal Processing Applications in Radar and Communications (SPARC) research group. He joined SPARC after serving as a scientific expert at MERL (Massachusetts) and previously with the SPARC team. His research focuses on radar signal processing, with broader interests in signal processing and sensor technologies. Dr. Feuillen obtained his PhD from UCLouvain (Belgium) in 2021. His work is conducted under the leadership of Prof. Bhavani Shankar Mysore Rama Rao. While no specific grants or advising roles are detailed in the provided text, his affiliation with SPARC indicates involvement in collaborative research projects focused on radar and communication systems. Though no publications are listed here, his research trends align with radar signal processing advancements and interdisciplinary applications in security and reliability engineering.
