جستجوی استاد راهنمای دانشگاهی

Iris Behrmann is a Full Professor of Biochemistry at the University of Luxembourg's Department of Life Sciences and Medicine. Her research focuses on cytokine signaling pathways in cancer and liver diseases, with particular expertise in JAK-STAT signaling, melanoma metabolism, and hepatocellular carcinoma. Her laboratory investigates molecular mechanisms underlying cancer progression, including ferroptosis susceptibility in melanoma, metabolic rewiring in drug-resistant tumors, and extracellular vesicle-mediated communication in hypoxic microenvironments. Recent work explores miRNA regulation of inflammatory pathways and genetic risk factors in chronic liver diseases. Behrmann's publications demonstrate extensive work on therapeutic targeting of metabolic vulnerabilities in cancer, cytokine-mediated transcriptional regulation, and the development of antibody-based interventions. Her research integrates biochemical, molecular, and omics approaches to identify novel therapeutic targets.

• Biochemistry
• Cytokine Signaling
• Cancer Metabolism
• +۲ مورد دیگر

Marcus Völp is an Associate Professor and head of the CritiX research group at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT). His research focuses on ultra-reliable operating systems, fault and intrusion tolerant systems for cyber-physical environments, and hierarchical hybridization techniques to construct resilient computing platforms. His work bridges theoretical foundations with practical implementations, particularly in developing dependable systems-on-chip that can withstand faults and intrusions. Research spans formal verification methods, radiation-hardened hardware, blockchain security, and autonomous vehicle safety systems. Recent publications demonstrate advancement in parameterized system verification, radiation effects on routers, and N-version machine learning for autonomous systems. His group maintains strong focus on practical resilience mechanisms for real-time and critical systems across computing layers.

• Operating Systems
• Fault Tolerance
• Cyber-Physical Systems
• +۵ مورد دیگر

Sylvain Kubler is a Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg's SerVal group. He holds a PhD from Université de Lorraine (2013) and previously served as an Associate Professor at the Research Center for Automatic Control of Nancy. His work focuses on IoT applications, decision support systems, and their integration into Industry 4.0, renewable energy, and smart cities. He has contributed to projects involving blockchain consensus mechanisms, maintenance scheduling, and energy system optimization. His research emphasizes sustainable technologies and distributed systems security. Research Interests: IoT and Blockchain Integration Decision Support Systems for Smart Cities and Industry Renewable Energy and Multi-Energy Networks AI-Driven Maintenance and Prognostics Privacy-Preserving Distributed Systems Recent Contributions: Sylvain’s recent work explores adaptive blockchain frameworks (e.g., DRAFTEE), reinforcement learning for maintenance scheduling, and explainable AI (XAI) in prognostics. His articles analyze trade-offs in federated learning architectures and multi-level energy system coordination. Affiliations and Labs: A core member of the SerVal group, he collaborates on initiatives like the IoT-based BIoTope ecosystem and the Sabine blockchain project. His work aligns with Luxembourg’s focus on secure, reliable, and sustainable technological solutions.

• IoT
• Decision Support Systems
• Industry 4.0
• +۴ مورد دیگر

Seung Yeob SHIN is a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg. He holds a PhD from the University of Massachusetts Amherst (2016), specializing in software engineering with a focus on system modeling and analysis through simulation and model checking frameworks. His work is centered at the Software Verification and Validation (V&V) Lab , led by Prof. Lionel Briand. Research Interests: Software Engineering Methodologies Cyber-Physical Systems Testing Real-Time Systems Analysis AI-Driven Testing Techniques Model Checking & Simulation Key Contributions: Pioneering work on fuzzing techniques for SDN controllers Development of probabilistic WCET estimation methods Advancements in metamorphic testing for CPS Control theory-based stress testing frameworks Publications: Over 30 peer-reviewed articles focusing on testing methodologies for real-time systems, cyber-physical systems, and quantum programming analysis. Recent trends emphasize AI integration in software validation and uncertainty-aware system design. Labs & Teams: Active member of the V&V Lab, collaborating on hardware-in-the-loop testing and embedded system validation projects.

• Software Engineering
• Cyber-Physical Systems
• Real-Time Systems
• +۴ مورد دیگر

Valérie Schafer is a Full Professor in Contemporary European History and Deputy Director at the Luxembourg Centre for Contemporary and Digital History (C²DH) since March 2025. She previously served as Head of the Contemporary European History (EHI) research area (2020-2025) and co-organizer of the Master in European Contemporary History (2018-present). She leads multiple interdisciplinary research projects focused on digital history and heritage. Affiliated with ULIDE (University of Luxembourg Institute of Digital Ethics) General Secretary of the Society for the History of Media (SPHM) Member of the Management Committee for the 'Tensions of Europe' network Co-founder/editor of Internet Histories (Taylor & Francis) Her research explores digital history through techno-economic trajectories, with emphasis on: Historical praxeology of digitally networked media Media history of wireless technologies (e.g., Bluetooth standard) History of CD-ROMs and digital storage Online virality and born-digital heritage Web archives as cultural artifacts Current projects include: DIGMEDIA (2024-2028): Historical analysis of digitally networked media CD-Hist (2024-2026): Comprehensive history of CD-ROMs HIVI (2021-2024): History of online virality PoPKult (2021-2024): Cultural practices in digital history Warcnet: Comparative web archiving methodologies AWAC2: Collaborative web archive analysis She contributes to editorial and advisory roles for: Le Temps des Médias Cahiers François Viète Journal of Digital History IEEE Annals of the History of Computing Flux Scientific Board of Orange Group Afnic (French domain name management)

• History of computing
• History of telecommunications
• History of data networks
• +۴ مورد دیگر

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.

• Computer Vision
• Deep Learning
• Cybersecurity
• +۳ مورد دیگر

Parisa PAYDAR is a Doctoral researcher at the Luxembourg Centre for Systems Biomedicine (LCSB) within the Enzymology & Metabolism group (Linster Lab) at the University of Luxembourg. She is affiliated with Biotech II located at 6, avenue du Swing, L-4367 Belvaux, Luxembourg. Her contact information includes the email parisa.paydar@uni.lu and telephone number (+352) 46 66 44 5457. Her research focuses on enzymology and metabolic pathways, contributing to systems biomedicine and biotechnology applications. As a PhD candidate, her work likely involves experimental and computational approaches to understand enzyme function and metabolic networks. No specific awards, grants, or publications are listed in the provided text. Her lab affiliation is part of LCSB's Enzymology & Metabolism group, which studies enzyme mechanisms and their roles in health and disease. Further details on her academic background, specific projects, or future work are not explicitly mentioned here.

• Enzymology
• Metabolism
• Biochemistry
• +۲ 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

Sviatlana HOEHN serves as a Postdoctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg, where she is affiliated with the IRiSC research group. Her work is conducted from the Central Building (ABCD) at 6, rue Coudenhove-Kalergi in Luxembourg City, focusing on critical infrastructure within security and reliability domains. Her research spans high-impact areas including: Cybersecurity frameworks for critical systems Reliability engineering in distributed networks Trustworthy computing architectures Formal verification methods Security protocol analysis Resilience modeling for cyber-physical systems No scientific awards were documented in the available institutional profile. Information regarding student supervision, grant funding, or laboratory leadership remains unspecified in current public records. HOEHN contributes to SnT's mission of advancing interdisciplinary security research through her specialized work in the IRiSC group, which addresses emerging challenges in digital trust and system integrity.

• Cybersecurity
• Reliability Engineering
• Trustworthy Systems
• +۳ مورد دیگر

Djamila Aouada is an Assistant Professor and Senior Research Scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), where she heads the Computer Vision, Imaging, and Machine Intelligence (CVI2) research group. She earned her State Engineering degree from École Nationale Polytechnique, Algeria, and PhD from North Carolina State University. Her research spans computer vision, signal processing, pattern recognition, and data modeling. Dr. Aouada leads several national and European projects including FNR FAVE, 3D-Act, and H2020 STARR, focusing on AI-driven solutions for industrial and security applications. She has received four IEEE Best Paper Awards for her contributions. Dr. Aouada has supervised 5 completed PhD theses and currently mentors 5 PhD candidates, while maintaining collaborations with Los Alamos National Laboratory and Mitsubishi Electric Research Labs. She serves as Senior IEEE Member and previously chaired IEEE Benelux Women in Engineering.

• Computer Vision
• Signal Processing
• Image Processing
• +۳ مورد دیگر

Fabrizio PASTORE is a Professor and Chief Scientist 2 in Software Engineering at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) , University of Luxembourg. He leads the Software Verification and Validation (V&V) Lab under Prof. Lionel Briand. His research focuses on advancing software testing methodologies, particularly in cyber-physical systems (CPS), deep neural networks (DNN) safety analysis, and program analysis. He holds a PhD from the University of Milano-Bicocca (2010) and has held roles including Assistant Professor at the same institution and Post-Doctoral Researcher at the University of Lugano (Switzerland). Key research interests include: Mutation testing and fuzzing techniques Automated tool development (e.g., MOTIF, SAFE, DaMAT) Safety analysis of DNNs using clustering and GAN-enhanced simulations Testing of edge frameworks and SDN configurations Model-driven testing and system evolution analysis His work bridges academic research with industrial applications, emphasizing practical tools for software reliability and security. He has contributed to over 100 publications since 2004, with a focus on testing methodologies for complex systems. Notable achievements include: Development of the AVA , RADAR , and MASS tools for regression and safety analysis Pioneering studies on metamorphic testing and explainable AI for safety-critical systems Leadership in the V&V Lab, fostering interdisciplinary collaboration in software engineering His research addresses challenges in CPS, autonomous systems, and AI safety, with a strong emphasis on tool-supported validation and verification methodologies.

• Software Engineering
• Software Testing
• Program Analysis
• +۵ مورد دیگر

Huiyun TANG is a Doctoral Researcher at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences, within the Department of Behavioural and Cognitive Sciences. Their work focuses on addressing misinformation challenges in health communication, leveraging AI technologies and social media analysis. Current research spans prebunking interventions, credibility assessment frameworks, and gamified educational tools to enhance critical thinking. Notable research interests include AI ethics in health information systems, user perception dynamics on social platforms, and regulatory policies like the Digital Services Act. Their publications emphasize bridging gaps between technological solutions and user empowerment in combating misinformation. Publications highlight interdisciplinary approaches, combining behavioral science with computational methods. Research outcomes aim to inform both academic discourse and practical strategies for digital literacy initiatives.

• Health Communication
• Digital Media Studies
• Artificial Intelligence Applications
• +۳ مورد دیگر

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.

• Systems Biomedicine
• Cell Signaling
• Molecular Biology
• +۳ مورد دیگر

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.

• Satellite Communication
• Artificial Intelligence
• Telecommunications
• +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