جستجوی استاد راهنمای دانشگاهی

Maxime CORDY is a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) , University of Luxembourg, within the Security, Design and Validation group (SerVal) . He holds a PhD from the University of Namur (Belgium, 2014) and specializes in software engineering, applied artificial intelligence, and cybersecurity. His work focuses on adversarial machine learning, deep learning robustness, and model checking for critical systems. Research interests include adversarial attacks on tabular data , energy system optimization , code understanding models , and software quality assurance . Recent projects address challenges in secure AI deployment, automated test generation, and fault detection in large language models. Publications emphasize empirical studies on adversarial defenses, data augmentation for code models, and energy consumption forecasting. He contributes to tools like Daedalux (variability-aware model checking) and benchmarks like Tabularbench for adversarial robustness evaluation. Current affiliations include leadership within the SerVal group and collaborations on interdisciplinary projects such as MALETSQUE (Machine Learning Techniques for Software Quality Evaluation). His work bridges theoretical computer science with practical applications in energy systems, medical imaging, and space program design.

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Félicia Norma Rebecca TEFERLE is a Full Professor in Geodesy at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), Department of Engineering. She leads the Geodesy and Geospatial Engineering research group, focusing on high-precision GNSS applications, remote sensing, and digital engineering technologies. Her work integrates geodetic, geophysical, and environmental methodologies. PhD in high-precision vertical land movement monitoring for sea level studies from the University of Nottingham. Industry experience in GPS systems for offshore geophysical investigations. Research interests include: GNSS processing strategies and atmospheric water vapor monitoring 3D land movement monitoring via SAR and photogrammetry BIM/GIS integration and machine learning for 3D city modeling No specific scientific awards or grant details are provided in the text. She maintains active roles in teaching, mentoring, and research innovation.

• Geodesy
• Global Navigation Satellite System (GNSS)
• Geodetic monitoring
• +۷ مورد دیگر

Stéphane BORDAS is a Full Professor in Computational Mechanics at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), leading the Computational Mechanics (Legato) research group. His work focuses on free boundary problems, method development for complex geometries, and applications in fracture mechanics, biomechanics, and computational engineering. He previously held roles at Cardiff University and the Swiss Federal Institute of Technology in Lausanne (EPFL). His research integrates computational methods like XFEM, isogeometric analysis, and meshfree techniques to address challenges in engineering and medicine. Education: Ph.D. in Theoretical and Applied Mechanics, Northwestern University (2003) M.Sc. in Civil Engineering, École Spéciale des Travaux Publics and Northwestern University (1999) Research Interests: Computational Mechanics, Biomechanics, Finite Element Methods, Fracture Mechanics, High-Performance Computing, Isogeometric Analysis. Grants & Projects: ERC Starting Grant (RealTCut) for surgical simulation and material cutting FP7 ITN INSIST for meshless methods Labs/Teams: Computational Mechanics (Legato) Group at the University of Luxembourg. His work bridges academia and industry, with applications in aerospace, biomedical engineering, and materials science. He is active in open-source software development, including codes for XFEM, isogeometric analysis, and meshfree methods.

• Computational Mechanics
• Biomechanics
• Finite Element Methods
• +۶ مورد دیگر

Benoît ALCARAZ is a Researcher affiliated with the Department of Computer Science at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM). His work focuses on advancing artificial intelligence and machine learning, particularly in ethical AI frameworks, argumentation systems, and natural language processing. He is based at the Maison du Nombre research facility in Esch-sur-Alzette. Research Interests include developing algorithms for ethical decision-making in AI, optimizing machine learning models through evolutionary techniques, and creating user-centric NLP tools for real-time applications. His work bridges theoretical computer science with practical ethical considerations, as seen in his exploration of bias mitigation in visual learning and argumentation-based reinforcement learning agents. Notable contributions include frameworks like Ajar for ethical reinforcement learning and IRRMA for image-based meeting assistants. While no explicit awards or grants are listed, his publications indicate active involvement in interdisciplinary AI research with a focus on societal impact.

• Artificial Intelligence
• Machine Learning
• Argumentation Theory
• +۳ مورد دیگر

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.

• Computational Biology
• Systems Biomedicine
• Machine Learning
• +۵ مورد دیگر

Joachim Hansen is an Associate Professor in Engineering Science with a focus on hydraulic engineering or urban water engineering at the University of Luxembourg, Faculty of Science, Technology and Medicine, Department of Engineering. His research interests include wastewater treatment, micropollutant removal, water reuse, and sustainable technologies for urban water systems. He leads the Urban Water Management research group and serves as course director for the Bachelor in Civil Engineering program. His research explores nature-based solutions like constructed wetlands, advanced oxidation processes, and biochar applications for water purification. Recent work focuses on large-scale implementation of hybrid treatment systems, circular economy approaches for resource recovery, and risk assessment frameworks for emerging contaminants. Publications demonstrate strong emphasis on pilot-scale validation of technologies, life cycle analysis of treatment systems, and interdisciplinary approaches combining engineering with environmental science. Trends include optimization of photo-Fenton processes, granular activated carbon integration, and sustainable greywater management strategies for public infrastructure. He supervises graduate research and maintains active collaborations across Europe, particularly in the Greater Region (Netherlands, UK, France, Belgium, Germany).

• Hydraulic Engineering
• Urban Water Engineering
• Wastewater Treatment
• +۳ 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

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.

• Wireless Communications
• Remote Sensing
• Distributed Systems
• +۶ 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

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.

• Neuroscience
• Neurorehabilitation
• Brain-Computer Interfaces (BCI)
• +۷ مورد دیگر

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.

• Radar Systems
• Wireless Communications
• Signal Processing
• +۴ مورد دیگر

Dr. Vittorio FRANZESE is a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg's SPASYS department. His work focuses on CubeSat technology, autonomous space systems, and deep-space exploration. He leads projects like the POQUITO PocketQube mission and the LUMIO lunar CubeSat, aiming to advance miniaturized satellite capabilities for interplanetary navigation and meteoroid impact monitoring. Key research areas include spacecraft autonomy, optical navigation algorithms, and mission design for CubeSats. He has contributed to initiatives such as the ERC-funded EXTREMA project, developing self-driving interplanetary CubeSats. His technical expertise spans satellite systems engineering, trajectory optimization, and sensor development for space applications. Publications highlight advancements in laser communication terminals, asteroid mission analysis, and swarm satellite technologies. Collaborative efforts include the Hera Milani CubeSat mission for asteroid exploration. His work bridges theoretical research with practical implementation, emphasizing innovation in low-cost space technologies.

• Spacecraft Design
• Aerospace Engineering
• Astrodynamics
• +۴ مورد دیگر

Alex Redinger is a Full Professor in the Department of Physics and Materials Science at the University of Luxembourg, leading the Surface and Interface Physics research group. His work focuses on semiconductor surface properties for solar cells, utilizing advanced techniques like scanning probe microscopy, X-ray photoelectron spectroscopy, and luminescence methods. He teaches Solid State Physics and Science Communication in the Master of Physics program. Education: PhD in Surface Science from Rheinisch Westfälische Technische Hochschule Aachen (summa cum laude), Diplom Physiker from the same institution, postdoctoral stays at the University of Luxembourg and HZB Berlin. Research interests include semiconductor surface engineering, thin-film solar cells, and nanoscale material characterization. His publications emphasize perovskite solar cells, interface stability, and degradation mechanisms. Over 88 scientific papers have been published, with key contributions on tin halide perovskites and CIGSe materials. Key awards include the FNR ATTRACT consolidator grant (2016) supporting his research group and an outstanding publication award (2014). He has supervised five PhD graduates since 2017 and actively participates in science outreach events like Open Days and Science Festivals. Research group activities involve developing novel solar cell interfaces and improving material stability through advanced characterization techniques. Current projects explore epitaxial thin films and light-induced material modifications.

• Semiconductor Physics
• Solar Cell Technology
• Materials Science
• +۳ مورد دیگر

Annika Lutz is a Researcher in the Department of Behavioural and Cognitive Sciences at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences. Her work focuses on eating disorders, body image, interoception, and self-regulation using psychophysiological methods like electroencephalography (EEG) and virtual reality. She holds a PhD from INSIDE (2015) and a Diplom (MSc) from the University of Würzburg, Germany, specializing in clinical psychology and psychophysiology. Her research explores mechanisms underlying eating disorders, particularly anorexia nervosa and bulimia nervosa, integrating neurophysiological and behavioral approaches. Current projects include the 'EMO-EAT' study examining emotional and restrained eating behaviors. She is affiliated with the Institute for Health and Behaviour and the Research Group on Self-Regulation and Health under Prof. Claus Vögele. Key interests span gastric interoception, stress responses, and digital psychotherapy applications. She speaks German, French, Luxembourgish, English, and Spanish, and her work bridges clinical and experimental psychology. Publications emphasize interoceptive accuracy, psychophysiological markers in eating disorders, and the neural basis of self-regulation. Awards and grants include the FNR/AFR grant (2011–2015). Her contributions include developing clinical assessment tools and validating self-report measures for interoceptive perception.

• Eating Disorders
• Body Image
• Interoception
• +۶ مورد دیگر