جستجوی استاد راهنمای دانشگاهی

Konstantinos KANAVOURAS is a Doctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg, specifically in the Space Systems Engineering research group (SpaSys). He is advised by Prof. Andreas Hein and focuses on model-based systems engineering, software development, and aerospace engineering applications in satellite systems. His research integrates agile methodologies and machine learning for spacecraft design and anomaly detection. Kanavouras holds a Master’s degree from Aristotle University of Thessaloniki (2021) and contributed as an avionics engineer to ESA’s AcubeSAT nanosatellite project under the Fly Your Satellite! program. His work emphasizes lightweight data management tools, PocketQube missions like POQUITO, and fractionated satellite systems for planetary observation. His publications highlight trends in small satellite development, including agile systems engineering practices, thermal anomaly detection via machine learning, and adapting space projects to remote collaboration (e.g., during the pandemic). Key projects include the University of Luxembourg’s first PocketQube mission (POQUITO) and lean approaches to spacecraft subsystems. Current affiliations include the SpaSys group at SnT, with a focus on interdisciplinary collaboration between systems engineering and software development. No scientific awards are listed, but his work aligns with cutting-edge space technologies and mission design.

• Model-Based Systems Engineering
• Software Development
• Aerospace Engineering
• +۴ مورد دیگر

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.

• Wireless Communications
• 6G Networks
• Reconfigurable Intelligent Surfaces
• +۲ مورد دیگر

Luc Nijs serves as Associate Professor in Early Childhood Music Education at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences (Department of Education and Social Work) and holds a Visiting Professor position at Ghent University, Belgium. He directs the Bachelor in Music Education program at Luxembourg and contributes to the Jonet Chair on Music Making and Social Action as a founding member. His academic credentials include a PhD in Arts Sciences (Systematic Musicology), MA degrees in Music Performance (clarinet) and Philosophy, and a Teacher Certificate for clarinet, saxophone, and ensemble instruction. Prior to academia, he taught in Flemish music schools and performed with ensembles including the Flemish Opera. Nijs's research centers on embodied music cognition, examining the musician-instrument relationship, movement's role in instrumental learning, and technology's capacity to foster embodied pedagogy. Recent work expands into community music's social impact, particularly in asylum centers. His methodology integrates theoretical development, empirical studies, and practical application, notably through the Music Paint Machine project which visualizes musical interaction through movement. Analysis of his 15 most recent publications reveals a trajectory from foundational technological applications (e.g., Augmented Reality in music education) toward socially engaged practices, with consistent emphasis on embodiment across contexts from instrumental training to refugee support. Key thematic clusters include participatory creativity, cross-cultural music facilitation, and teacher development in technology integration. His scientific recognition includes: 3rd Prize at the TedX Ghent Research Rally (2019) EAPRIL Best Research and Practice Project Award (2012) Prix Leopold Génin (1997) As course director and educator at both universities, Nijs shapes music pedagogy curricula while influencing policy through former advisory roles with the Flemish Ministry of Education and leadership of the AEC Digitization Working Group (2017-2021). His collaborative projects like the Music Paint Machine demonstrate sustained commitment to bridging research, technology, and community practice. Nijs co-founded the Jonet Chair on Music Making and Social Action and maintains active research networks through Ghent University's IPEM institute. His work with asylum centers and community music facilitators represents evolving lab directions focused on music's role in social resilience.

• Embodied Music Pedagogy
• Musical Creativity
• Music Educational Technology
• +۳ مورد دیگر

Jean Botev is a Research Scientist and co-head of the Collaborative and Socio-Technical Systems (COaST) group at the University of Luxembourg's Faculty of Science, Technology and Medicine. He directs the VR/AR Lab, focusing on immersive technologies and human-centered design. His work bridges physical and digital realities through mediated reality approaches, emphasizing collaborative virtual environments and interaction techniques. Dr. Botev holds a PhD in Computer Science (2011, University of Luxembourg) and master's/bachelor's degrees from the University of Trier (Germany). He teaches courses in Virtual/Augmented Reality, Immersive Media, and programming disciplines across multiple university programs. His research spans 85+ peer-reviewed publications, with notable contributions to IEEE VR, ACM IVA, and TVCG. He leads €5M+ in grants, including the EU H2020 FET Open ChronoPilot project (€3M) exploring time perception modulation. Awards include the 2024 EuroXR Best Demonstration Award and multiple best paper recognitions. Botev actively engages in public outreach, organizing events like ACM SIGGRAPH Asia Demo Scene and promoting ethical design principles. His work integrates socio-technical systems, human factors, and interdisciplinary collaboration to advance immersive technology applications in education, cultural heritage, and healthcare.

• Mediated Reality
• Human-Computer Interaction
• Collaborative Socio-Technical Systems
• +۳ مورد دیگر

Haffay ABREHA is a Doctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), within the SigCom department. His research focuses on advanced networking technologies, including edge computing, satellite communications, and federated learning. He holds a strong interest in network virtualization, resource management, and optimizing mission-critical applications in distributed systems. Contact: haftay.abreha@uni.lu Research Interests: ABREHA’s work spans satellite edge networks, federated learning frameworks, fog computing monitoring, and resource-aware caching strategies. He explores how machine learning can enhance adaptive systems and improve network reliability in dynamic environments. Recent studies emphasize fairness-aware VNF scheduling, SDN/NFV integration, and optimizing content delivery in multi-layer satellite architectures. Labs/Teams: Active member of the SigCom research group at SnT, contributing to interdisciplinary projects on secure and reliable communication systems.

• Edge Computing
• Satellite Communications
• Network Virtualization
• +۳ مورد دیگر

Dr. Katrin Becker is a Research Scientist at the University of Luxembourg's Department of Humanities within the Faculty of Humanities, Education and Social Sciences. Her research investigates the impact of emerging technologies like blockchain and AI on legal concepts, institutional dynamics, and subjectivity. She has conducted research stays in the USA, Germany, and France. Becker's interdisciplinary research spans digital culture, legal philosophy, and institutional transformations. Her work critically examines virtual identity, decentralized governance, and the sociocultural implications of blockchain technology. A thematic analysis of her publications reveals consistent exploration of disembodiment in digital spaces, the evolution of legal subjectivities in technological contexts, and the cultural frameworks shaping human-technology interactions. Her recent work increasingly focuses on NFTs, virtual self-creation, and the anthropological dimensions of digital systems.

• Blockchain Technology
• Artificial Intelligence
• Law and Technology
• +۲ مورد دیگر

Dr. Mohammad ALAEE is a Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the SPARC department. His research focuses on radar signal processing, waveform design, and optimization theory, with applications in automotive, medical, and communication systems. He has conducted research stays in Italy and speaks French and English fluently. His work emphasizes the development of advanced radar technologies, including MIMO radar systems, interference mitigation techniques, and waveform optimization for spectral efficiency. He has contributed to projects such as contactless vital sign monitoring using radar, automotive radar coexistence with communications, and 4D imaging radar for high-resolution applications. His publications highlight trends in radar-communication integration, waveform design for medical and automotive systems, and adaptive signal processing techniques. He has also explored hardware prototyping and simulation tools for radar systems, demonstrating practical implementations of his theoretical contributions. Dr. ALAEE's research bridges theoretical advancements with real-world applications, addressing challenges in modern radar systems' performance and integration. While no specific awards or grants are listed, his extensive publication record underscores his expertise in radar engineering and signal processing.

• Electrical & Electronics Engineering
• Radar Signal Processing
• Waveform Design
• +۳ مورد دیگر

Daniele Perlo is a Postdoctoral Fellow at Luxembourg Institute of Health specializing in Brain Imaging & Neuro Epidemiology. His research bridges artificial intelligence and medical imaging to advance neuro-oncology diagnostics, with emphasis on brain tumor hypoxia detection and MRI analysis. His primary research interests include Artificial Intelligence , Deep Learning , Medical Imaging , and Neuroimaging , with specific focus on hypoxia detection in brain tumors using multiparametric MRI. He develops AI models for medical image synthesis, artifact correction, and tumor characterization, translating computational methods into clinical applications for improved cancer diagnostics. Analysis of Perlo's 15 recent publications (2021-2024) reveals a concentrated research trajectory in AI-driven medical imaging. Key themes include brain tumor hypoxia prediction through MRI-PET synthesis, MRI artifact correction via k-space deep learning, and creation of specialized medical datasets (Unitobrain, Unitochest, Unitopatho). His work demonstrates increasing emphasis on practical clinical implementations, particularly in neuro-oncology and multi-organ cancer imaging, leveraging large-scale deep learning frameworks. Perlo participated as a key contributor in the "Pseudo PET" research project (2022-2024), collaborating with principal investigators Keunen and Niclou to develop deep learning methods for synthesizing pseudo-PET images from MRI data to assess brain tumor hypoxia without radiation exposure. This HPC-intensive project utilized multiple GPUs for medical image processing in neuro-oncology applications. He operates within the Brain Imaging & Neuro Epidemiology research group at Luxembourg Institute of Health, focusing on AI applications for neuroimaging analysis and epidemiological studies of brain disorders through advanced computational techniques.

• Artificial Intelligence
• Deep Learning
• Medical Imaging
• +۳ مورد دیگر

Geoffrey Caruso is a Full Professor in Urban Analysis and Modelling at the University of Luxembourg, affiliated with the Faculty of Humanities, Education and Social Sciences and the Department of Geography and Spatial Planning. His research spans urban economics, spatial statistics, and agent-based modeling, focusing on urban sprawl, cross-border commuting, and environmental impacts. Email: geoffrey.caruso@uni.lu Office: Maison Sciences Humaines, 11 Porte des Sciences, L-4366 Esch, Luxembourg His research integrates methods such as GIS, cellular automata, and microsimulation to analyze urban patterns , residential choice , and land use-transport interactions . Recent work examines green space accessibility, pollution exposure, and cross-border mobility dynamics. Publications highlight trends in urban scaling , automobile dependency , and spatial equity , with a focus on European cities and regions like Luxembourg. Articles employ agent-based models and spatial econometric techniques to address urban sustainability challenges.

• Urban Analysis and Modelling
• Geographical Information Systems (GIS)
• Spatial Statistics
• +۹ مورد دیگر

Robin Samuel is an Associate Professor of Youth Studies in the Department of Social Sciences at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences. He concurrently serves as Head of the Centre for Childhood and Youth Research (CCY), Head of the Youth Studies Research Group, and Director of the Doctoral Programme in Social Sciences. Education: Lizentiat (Master's equivalent) in Sociology, Sustainable Development, and Modern History, University of Basel, 2008 Ph.D. in Sociology, University of Basel, 2012 Samuel's research integrates youth studies, digital sociology, health and well-being, sustainability, and advanced research methodologies. He employs large-scale statistical analyses alongside experimental and qualitative approaches to investigate youth transitions, digital socialization, and environmental attitudes. His work emphasizes policy-relevant outcomes through partnerships with Luxembourgish ministries and municipalities. Recent publications demonstrate interdisciplinary convergence across sociology, public health, and environmental science, with recurring themes including pandemic impacts on youth well-being, labor market barriers for vulnerable groups, and digital media's role in social development. Methodological strengths include factorial survey experiments, Bayesian statistics, and mixed-methods designs. He leads major funded initiatives including PATH_CH-Lux (2023–2026), PATHS2INCLUDE (2023–2026), NYR25 (2022–2026), and the longitudinal Youth Survey Luxembourg (2016–2026). Samuel supervises bachelor's and master's theses while contributing to academic governance for BSSE and MASSES programs, though he is currently not accepting new PhD candidates. Through the CCY and Youth Studies Research Group, he facilitates knowledge exchange via multilingual platforms (youth-in-luxembourg.lu, jugendbericht.lu) and workshops, ensuring research directly informs youth policy development across Luxembourg.

• Youth Studies
• Digital Sociology
• Health and Well-being
• +۴ مورد دیگر