Find Academic Supervisors

• Sustainable Urban Mobility
• Signal Processing
• Data Modeling
• +3 more

Myriam FOUCRAS is a Researcher-Lecturer at CESI, based at the CESI Toulouse Campus. She is affiliated with the Engineering and Numerical Tools Research team, focusing on interdisciplinary research combining urban mobility, signal processing, and data modeling. Her educational activities span Mathematics, Artificial Intelligence across all engineering study levels. PhD from Institut National Polytechnique (2015): 'Performance Analysis of the Modernized GNSS Signal Acquisition' MSc from Université Paul Sabatier de Toulouse (2010): Applied Mathematics Research interests emphasize sustainable urban mobility solutions, intelligent transportation systems, and satellite signal analysis. Her work bridges theoretical models with practical applications in smart city infrastructure optimization and environmental monitoring through remote sensing. Current PhD supervision includes: Joan BURGALAT: Optimizing transport systems in smart cities (defense 2025) Rekia ABDELLAOUI: Multimodal student mobility planning (defense 2026) Active in scientific communities as MIDOC member (Smart Mobility in Occitanie) and GIS neOCampus. Leads the MobE research program optimizing energy-efficient student mobility.

• Computer Vision
• Machine/Deep Learning
• Complex Networks
• +1 more

MOURCHID Youssef is a Researcher-Lecturer at CESI (Campus Dijon), affiliated with the Engineering and Numerical Tools research team. He holds a PhD in Computer Science from Mohammed V University, Bourgogne University, and Osaka University (2014–2019), and completed a postdoctoral fellowship at Thales & IMS Lab, Bordeaux INP (2019–2020). His academic background includes a Master’s in Computer Science and Telecommunications from Mohammed V University (2012–2014). Roles: Researcher-Lecturer, Head of Building-Environment Chair, and reviewer for conferences like IEEE Image Processing and EGC. Teaching: Teaches computer science disciplines (Programming, AI, NLP) to engineering students and job applicants via courses, practical work, and active pedagogy. Research Interests: Focuses on Computer Vision, Machine/Deep Learning, Complex Networks, and Digital Healthcare . Key projects include applying graph neural networks for patient rehabilitation assessment, AI-driven impact fall detection, and satellite image colorization using GANs. His work bridges healthcare technology and multimedia analysis. Publications: Over 25+ peer-reviewed papers (6 journal articles, 13 conferences) spanning spatio-temporal graph networks, multilayer network models, and GAN applications. Recent work emphasizes healthcare applications like hypotension prediction and multimodal fall detection. Advising: Supervised master’s and PhD students on topics like GANs for image super-resolution, multilayer network analysis of movies, and AI for medical monitoring.

• Data Security and Privacy
• Privacy-Preserving Technologies
• Cyber-Physical Systems (CPS)
• +3 more

TASIDOU Aimilia is an Associate Professor at CESI, focusing on Security and Privacy by Design in Intelligent Infrastructures. She leads the Engineering and Numerical Tools research team, addressing challenges in privacy-preserving data extraction, CPS architecture, and decision-making systems. Her work aligns with EU regulatory standards and emphasizes practical applications in smart services and critical infrastructure. Education: PhD in Electrical and Computer Engineering (2015), Democritus University of Thrace MSc in Artificial Intelligence (2006), University of Edinburgh Diploma in Informatics (2005), University of Piraeus Research Interests: Aimilia explores privacy frameworks for smart infrastructures, including Privacy-by-Design principles, cybersecurity in microgrids, and data anonymization techniques. She also investigates the economics of personal data and its implications on fair data transactions. Her work bridges theoretical foundations with real-world implementations, such as privacy-preserving parking solutions and secure VoIP systems. Publications: Her recent work emphasizes privacy solutions compliant with EU legislation (e.g., GDPR), optimal allocation of privacy budgets in differential privacy, and enhancing security in telecommunication systems. Her 2021 paper on CPS architectures and 2022 study on microgrid networks highlight her contributions to resilient infrastructure design. Labs/Teams: As part of CESI’s Engineering and Numerical Tools team, she collaborates on projects like HArMoNICS (high-assurance microgrid systems) and PRISM (privacy safeguards for smart services). Past projects include myVisitPlanner GR , a personalized tourism platform, and studies on cultural heritage sustainability.

Ulas OZENView profile

Associate Professor

• Supply Chain Management
• Operations Management
• Supply Chain Contracting and Coordination
• +3 more

Ulas Ozen is an Associate Professor of Supply Chain Management at EM Normandie since 2023. He holds a PhD in Operations Management and Logistics from Eindhoven University of Technology (2007). His research focuses on supply chain operations, stochastic modeling, inventory theory, and game-theoretic approaches to supply chain coordination. Prior roles include Associate Professorships at IMT Dubai (2021–2023) and Ozyegin University (2014–2020), and a Research Scientist position at Alcatel-Lucent Bell Labs (2008–2012). His work bridges theoretical contributions (e.g., cooperative game frameworks) with applied problems like tactical inventory planning in repair services. Research interests span Stochastic inventory systems under uncertainty Cooperative strategies in supply chains Dynamic optimization in production planning Service-level driven inventory models Recent work emphasizes spare parts systems and penalty cost structures in cooperative models. Over 15+ publications appear in top journals like Production and Operations Management and European Journal of Operational Research . Professional service includes R&D consulting at ICRON Technologies (part-time, 2018–2020). His academic contributions integrate theoretical rigor with real-world operational challenges, particularly in high-tech manufacturing and repair logistics.

Nguyen Khoi TRANView profile

Associate Professor

• Maritime Logistics
• Container Shipping Networks
• Supply Chain Disruptions
• +4 more

Nguyen Khoi TRAN is an Associate Professor of Supply Chain Management and Logistics at EM Normandie since 2019. He holds a PhD in Logistics & Maritime Business from the University of Bremen (2015), with a thesis focused on maritime logistics and container shipping. Prior roles include Research Fellow at Nanyang Technological University (2016-2018) and Project Assistant at the University of Bremen (2010-2016). His research focuses on maritime economics, large-scale network optimization, container shipping emissions, and supply chain disruptions. Key topics include CO2 emission modeling, global shipping network analysis, and crisis management in logistics systems. He has published extensively in journals like International Journal of Production Economics , Maritime Economics & Logistics , and Transportation Research Procedia . Teaching areas include Port Management, Logistics, and Supply Chain Management. His work often addresses sustainability challenges, policy implications of shipping practices, and innovative applications like blockchain in energy systems. Recent studies analyze the Suez Canal blockage’s impact on global supply chains and emissions reduction strategies in container shipping. No scientific awards are listed, but his research has addressed critical industry issues such as port selection strategies, ship speed optimization, and spatial variability in shipping travel times. Professional experience spans academic research and practical logistics challenges across Europe, Asia, and Singapore.

• Supply Chain Management
• Circular Economy
• Humanitarian Operations
• +3 more

Felix Papier is a Professor of Supply Chain Management at ESSEC Business School since 2011 and holds the ESSEC Global Circular Economy Chair (2023–present). He specializes in industrial strategy, circular economy, humanitarian logistics, and supply chain information systems. His career includes roles as Academic Director of the ESSEC & Mannheim Executive MBA (2015–2017), Deputy Director General overseeing pre-experience programs (2017–2022), and visiting professorships at UCLA Anderson School of Management (2022–2023) and HKUST (2006). Prior to academia, he was a senior strategy consultant at McKinsey & Company (2008–2011). Education: Ph.D. in Management Sciences (University of Cologne, 2008), M.Sc. in Information Systems (Universität Münster, 2003), and graduate studies at the University of Illinois at Chicago (2001). Awards include the POMS Best Working Paper Award (2017) and top teaching awards from ESSEC (2012–2013). His research focuses on optimizing supply chain operations through collaborative strategies, dynamic modeling, and sustainability. Key contributions include studies on humanitarian logistics during the pandemic, online food delivery platforms, and remanufacturing systems. He has co-advised doctoral theses on behavioral supply chain decisions, sustainable operations, and data-driven service optimization. Professional activities include memberships in INFORMS, POMS, and EURO StochMod. He has delivered keynote speeches on supply chain complexity and circular economy, authored chapters for Springer publications, and published in leading journals such as Manufacturing & Service Operations Management and European Journal of Operational Research .

René MauerView profile

Professor

• Entrepreneurship
• Start-up Management
• Corporate Innovation
• +3 more

René Mauer is a Professor of Entrepreneurship and Innovation at ESCP Business School in Berlin, holding the Chair for Entrepreneurship. He currently serves as the academic head of the Executive Master in Digital Innovation and Entrepreneurial Leadership (EMDIEL) and coordinates ESCP's European Entrepreneurship Department (Jean-Baptiste Say Institute of Entrepreneurship). Prior to joining ESCP, he was an Assistant Professor at RWTH Aachen University, where he led the start-up centre and focused on entrepreneurship education and applied research. His expertise lies in entrepreneurial decision-making under uncertainty, particularly in venture and corporate contexts. He collaborates with SMEs and large corporations like BASF, BMW, and P&G, advising on innovation strategies and start-up ecosystems. Mauer’s practical experience includes roles at 3M, multiple startups, and management consulting, alongside co-owning a family business and co-founding a technology startup. He is a partner in the expert network Effectuation Intelligence, which explores entrepreneurial methodologies. Research interests span effectuation theory, strategic decision-making in uncertain environments, and the dynamics of innovation ecosystems. His work bridges academic frameworks with real-world applications, emphasizing how organizations navigate ambiguity to foster growth and innovation. Mauer’s contributions include advancing corporate effectuation practices and understanding refugee entrepreneurship through embeddedness perspectives. He actively contributes to ESCP’s international programs, promoting transnational leadership and sustainability in business education. His research and advisory work highlight the interplay between entrepreneurial mindset development, organizational culture, and systemic innovation challenges.

Antoine CHAILLETView profile

Professor

• Control Theory
• Nonlinear Systems Stability
• Time-Delay Systems
• +3 more

Antoine CHAILLET is a Full Professor at CentraleSupélec and a junior member of the Institut Universitaire de France. He holds a Ph.D. in Control Theory from Université Paris Sud 11-L2S (2006) and has held academic positions including Associate Professor at L2S-Univ. Paris Sud 11-Supélec from 2007–2016. His research focuses on control theory applications in neuroscience , stability analysis of nonlinear systems , and time-delay systems . He has conducted postdoctoral work at the Centro di Ricerca Piaggio, Pisa (2006–2007) and held visiting scholar positions at the University of Twente and INRIA Sophia Antipolis. His work spans theoretical advancements in control systems and practical applications in biomedical engineering, including closed-loop stimulation strategies for neurological disorders like Parkinson’s disease. Education: B.Sc., ESIEE Amiens (2002) M.Sc., Control Engineering, Université Paris Sud 11 (2003) Ph.D., Control Theory, Université Paris Sud 11-L2S (2006) Research interests include: Neural field control and stabilization Time-delay systems stability analysis Adaptive control algorithms for biomedical systems Model reduction techniques for dynamical systems Awards: Junior Member, Institut Universitaire de France Marie-Curie Scholarship (2004) Key contributions include theoretical frameworks for Input-to-State Stability (ISS) in time-delay systems and experimental validations of closed-loop brain stimulation strategies. He collaborates with interdisciplinary teams in robotics, neuroscience, and medical engineering. His research is supported by institutions like EECI (European Embedded Control Institute) and the French National Research Agency.

Gilles CHARDONView profile

Associate Professor

• Signal Processing
• Acoustics
• Electrical Engineering
• +5 more

Gilles CHARDON is an Associate Professor at CentraleSupélec and a member of the Laboratoire des Signaux et Systèmes (L2S). His research focuses on inverse problems in acoustics, sparsity-based methods, and compressed sensing. He holds a PhD in Acoustics from Pierre and Marie Curie University (2012) and an HDR (Habilitation) in 2025. His work includes contributions to acoustic source localization, radar emitter classification using optimal transport, and algorithmic developments for large-scale problems. **Education**: École Polytechnique (2005–2009) Telecom ParisTech (2008–2009) Master in Acoustics, Music, and Signal Processing (ATIAM) (2008–2009) PhD in Acoustics from UPMC (2009–2012) **Research Interests**: Acoustic imaging and sparse signal processing Radar signal analysis and optimal transport applications Source localization and covariance matrix fitting **Notable Contributions**: Development of the DAMAS algorithm for acoustic source localization Work on compressive beamforming and gridless methods Publications in IEEE Transactions, Journal of Sound and Vibration, and top conferences like GRETSI and EUSIPCO **Students**: Supervised PhD/Master students including Pierre Avital, Manon Mottier, Emilien Boizard, and Sarah Roual.

Yacine ChitourView profile

Professor

• Control Theory
• Stability Analysis
• Delay-Differential Equations
• +3 more

Yacine Chitour is a Professor at CentraleSupélec, affiliated with the Laboratoire des Signaux et Systèmes (L2S). His research focuses on control theory, stability analysis, delay-differential equations, and mathematical modeling in vision. He has contributed to key areas such as nonlinear systems, controllability of partial differential equations, and the application of geometric methods to control problems. Chitour holds notable awards including the IUF Senior position (2018-2023) and has served in administrative roles such as Director of the iCODE institute. His work includes over 70 journal articles and book chapters, addressing topics like the MacKay effect, switched systems, and stabilization techniques. He has organized significant conferences and contributed to collaborative projects like the CIMPA School in Tlemcen, Algeria. His research also involves interdisciplinary applications, including robotics, neuroscience, and telecommunications, reflecting his broad expertise in applied mathematics and control systems.

Aurélia FRAYSSEView profile

Associate Professor

• Signal Processing
• Image Reconstruction
• Inverse Problems
• +3 more

Aurélia FRAYSSE is an Associate Professor at CentraleSupélec, affiliated with the Laboratoire des Signaux et Systèmes (L2S). Her research focuses on inverse problems, signal and image processing, with applications in electromagnetics, astrophysics, and computational imaging. She earned her HDR (Habilitation) in 2017 on methodological contributions using sparsity for inverse problems, and her PhD in 2005 from Université Paris XII Val de Marne, specializing in multifractal analysis. Her work emphasizes Bayesian methods, sparse representations, and optimization algorithms in challenging imaging scenarios. Her research areas include variational Bayesian approaches for image reconstruction, sparse coding techniques, and applications in gravitational wave detection, electromagnetic imaging, and multispectral data processing. She has collaborated on projects involving wavelet-based methods, low-rank approximations, and machine learning for inverse problems. Key contributions include advancements in contrast source inversion methods for nonlinear electromagnetic imaging, efficient algorithms for sparse gradient priors, and the development of small-scale networks for seismic pattern classification. Her work bridges theoretical foundations (e.g., minimax theory, Sobolev space regularity) with practical applications in engineering and astrophysics. Dr. FRAYSSE has published extensively in IEEE journals and conferences, including Transactions on Antennas and Propagation, Signal Processing, and European Signal Processing Conferences. Her research also extends to the energy, industry, and health domains through transversal axes at L2S. She is actively involved in the lab’s initiatives for the future of industry and sustainable energy solutions.

Antonio LORIAView profile

Researcher

• Automation
• Robotics
• Applied Mathematics
• +4 more

Antonio LORIA is a Senior Researcher (DR1) at the CNRS, affiliated with the Laboratoire des Signaux et Systèmes (L2S) at CentraleSupélec in France. His primary research discipline is Automation, focusing on control systems, robotics, and nonlinear dynamics. He holds a DEA and PhD from UTC, France, and has held CNRS positions since 1999, advancing through ranks to his current role. LORIA’s work emphasizes multi-agent systems, networked control, and formation control, with applications in robotics and autonomous systems. Education: Born in Mexico (1969), he studied Electronic Systems Engineering at ITESM, Mexico, followed by a DEA (1993) and PhD (1996) in Automation from UTC. Postdoctoral studies at the University of Twente (Netherlands), NTNU (Norway), and UC Santa Barbara (USA). Research Interests: Automation, robotics, nonlinear control, stability theory, and consensus algorithms. His recent work includes strict Lyapunov function design, robust formation control, and adaptive estimation for hybrid systems. Publications: Over 100 journal and conference articles on topics like consensus algorithms, multi-agent systems, and nonlinear control. Recent work (2024–2025) includes studies on bipartite formation control, hybrid networks, and robust adaptive estimation. Grants & Leadership: Led or participated in projects funded by the EU, ANR, and CNRS. Served on evaluation committees for French and international research agencies (ANR, MINES, ANID, UEFISCDI). Associate editor for journals like IEEE Trans. on Automatic Control and Automatica . Students & Mentoring: Supervised 14 PhD students and 4 postdocs, many now in academia or industry roles. His advisees hold positions at CentraleSupélec, CNRS, and universities in Mexico, the Netherlands, and elsewhere. Labs & Groups: Active member of L2S research teams such as MODESTY (Modeling for Control), COMEDY (Dynamic Systems), and SYCOMORE (Robust Control). Involved in transverse research axes like Energy and Future Industry.

Sylvie MARCOSView profile

Researcher

• Signal Processing
• Radar Systems
• Machine Learning
• +6 more

Sylvie MARCOS is a Senior Researcher at CentraleSupélec, France, affiliated with the Laboratoire des Signaux et Systèmes (L2S). She holds a PhD in Telecommunications (1987) and an HDR in Signal Processing (1995) from the University of Paris-Sud. Her research focuses on signal processing, radar systems, machine learning applications in environmental monitoring, and chaotic sequence generation for telecommunications. She has supervised numerous doctoral students and co-authored over 50 publications in high-impact journals and conferences. Education: Engineer, Ecole Centrale de Paris (1984) PhD in Telecommunications, University of Paris-Sud (1987) Habilitation à Diriger des Recherches (HDR), University of Paris-Sud (1995) Research Interests: Time series analysis and anomaly detection Radar signal processing and LPI radar detection Chaotic sequences for MIMO radar and CDMA systems High-resolution source localization and sparsity-based methods Adaptive filtering and neural network applications Her recent work emphasizes environmental monitoring using machine learning and deep learning techniques, as well as robust radar systems design. She collaborates with institutions like CEA-DAM Valduc and Onera on defense-related signal processing challenges. Grants/Projects: Active involvement in European and national research projects on radar systems, environmental signal processing, and sparse signal recovery. Labs/Teams: Member of L2S research groups MODESTY, COMEDY, and SYCOMORE, focusing on systems modeling and robust control.

• Mathematics Education
• Technology in Education
• Formative Assessment
• +4 more

Gilles Aldon is a Professor (PRAG) at École Normale Supérieure de Lyon, serving as director of the EducTice team within the French Institute of Education. His research focuses on the integration of technology in mathematics education, formative assessment, and investigative learning approaches. He leads collaborative projects like FASMED, DREAM, and CaPriCo, emphasizing co-disciplinary methods. Education: Ph.D. in Mathematics Education (2011), Master 2 in HPDS Research (2008), Mathematics Aggregation, and a Master’s in Discrete Mathematics. He has been a mathematics teacher since 1976. Research interests include the role of calculators in learning, experimental mathematics, and technology-enhanced teaching. His work bridges theory and practice, advocating for teacher collaboration and innovative resource design. Key contributions include publications on didactic incidents, digital tools in classrooms, and co-authored works on collaborative educational platforms. He frequently presents at international conferences and contributes to educational policy through expert reports.

Sophie Joffredo Le BrunView profile

Lecturer

• Mathematics Education
• Cooperative Didactic Engineering
• Student Autonomy
• +3 more

Sophie Joffredo Le Brun is a Lecturer in Educational Sciences at the University of Nantes (UCO), affiliated with the Faculty of Education and the Department of Educational Sciences. She holds a PhD in Educational Sciences from the University of Western Brittany (2016) and a Master's in Research in Educational Sciences from the University of Rennes 2. Her roles include Head of L2 Educational Sciences and Head of the Department of Educational Sciences at the Nantes campus. She co-leads the 'Hot Questions in Training' research axis within the LIRFE team and represents EU research initiatives. Her research focuses on mathematics teaching in elementary schools, cooperative didactic engineering, student experience continuity, and the role of digital technology in fostering autonomy. Notable projects include the ACE network (Cooperative Engineering), the DEEC ANR project on educational effectiveness, and the E-fran IDEE initiative on digital tools for student autonomy. Her publications emphasize collaborative teacher-researcher practices, hypermedia systems for educational dissemination, and problem-solving in mathematics education. She actively contributes to international conferences and serves on scientific committees for events like the TACD Congress. Her work bridges theory and practice, aiming to improve educational practices through innovative curricula and teacher training programs.