جست‌وجوی استاد و پژوهشگر

Frédéric MAZENCمشاهده پروفایل

پژوهشگر

• Automatic Control
• Systems and Control Theory
• Robust Control
• +۷ مورد دیگر

Frédéric MAZENC is a Research Director (DR) at Inria Saclay, part of the EPI DISCO team, and a member of the Laboratory of Signal and Systems (L2S) at CentraleSupélec, affiliated with Université Paris-Sud. His roles include leadership in research, editorial responsibilities, and service on scientific committees. Education HDR (Habilitation to Supervise Research in Mathematics), University of Montpellier II, 2007 PhD in Mathematics and Automatics, École Nationale Supérieure des Mines de Paris, 1996 Master’s in Mathematics, University of Nice-Sophia Antipolis, 1991 Research Interests Focuses on automatic control, systems modeling, robust control, and stability analysis, particularly in nonlinear systems, delay systems, and Lyapunov methods. His work spans theoretical advancements and practical applications in control systems, including extremum seeking, event-triggered control, and observer design. Key areas include: Stability analysis using Lyapunov functions and Halanay’s inequality Design of interval observers and stabilization techniques for time-varying systems Applications in bioreactors, telecommunication systems, and cancer stem cell dynamics Publications & Contributions Author/co-author of 321 publications, including a monograph on Lyapunov functions and over 160 conference papers. Recent works emphasize fixed-time stabilization, extremum seeking algorithms, and robust control strategies for systems with delays. His research bridges theoretical control theory and practical engineering challenges. Awards & Service Editorial roles include Associate Editor of Automatica and IEEE Control Systems Letters . Former roles include membership on the Scientific Commission of Inria’s CRI Saclay. Active in conference program committees, including the American Control Conference and IFAC workshops. Labs & Teams Associated with L2S, a leading laboratory in signal and systems research, and collaborates with interdisciplinary teams on projects like cancer dynamics modeling and energy systems.

Pedro RODRIGUEZ-AYERBEمشاهده پروفایل

استاد

• Model Predictive Control
• Optimization-Based Control Design
• Power Electronics Control
• +۴ مورد دیگر

Pedro RODRIGUEZ-AYERBE is a Professor at CentraleSupélec, University Paris-Saclay, affiliated with the Laboratoire des Signaux et Systèmes (L2S). His expertise spans Model Predictive Control, optimization-based control design, and power electronics control. He holds a Ph.D. (2003) and Habilitation (2014) in Automatic Control from Université Paris-Sud. His research addresses constrained dynamical systems, human-robot interaction, and industrial automation. Education : Ph.D. in Automatic Control (2003), University Paris XI; HDR (2014), Université Paris-Sud. Industry Experience : Fagor Automation (Spain) and Lore (France) from 1996–2000. Research Interests : Focus on robust and constrained control, predictive control algorithms, and applications in robotics, energy systems, and manufacturing. His work bridges theoretical advancements with practical implementations in power electronics and industrial automation. Recent Work : Recent articles explore fragility of control laws, human arm impedance dynamics, and zinc-air battery modeling. His 2025 paper in IEEE Transactions on Automatic Control analyzes polyhedral partition fragility in PWA control systems. Student Supervision : Over 20+ PhD students supervised since 2003, including current advisees in robotics, control systems, and energy engineering. Notable collaborations with institutions like CEA-LIST and CIAMS. Key Projects : Active in interdisciplinary research, including zinc-air battery control (2024), human-robot interaction (2023), and advanced manufacturing precision (2021). His lab contributes to EU industrial and academic initiatives.

• Fluid Mechanics
• Aeroacoustics
• Turbulence Modeling
• +۳ مورد دیگر

Alexis Giauque is a Researcher at the Laboratory of Fluid Mechanics and Acoustics (LMFA - UMR 5509) affiliated with École Centrale de Lyon in Lyon, France. His primary research focuses on computational fluid dynamics (CFD), aeroacoustics, and turbulence modeling with applications to propulsion systems and noise prediction in turbomachinery. His work leverages advanced numerical methods like Large-Eddy Simulation (LES) and hybrid machine learning approaches to study complex flows in transonic fan stages, dense gases, and compressible systems. Key Research Themes: LES modeling of tip-leakage vortices and separation bubbles Lattice Boltzmann methods for turbulent flows Direct noise prediction in ultrahigh-bypass-ratio turbofans Experimental validation of real gas annular cascade flows His recent studies prioritize improving turbulence models for dense gas flows and optimizing blade designs to reduce propulsion noise. Collaborations involve experimental facilities and numerical code development (e.g., SU2, ANN-based LES models).

Hugues MOUNIERمشاهده پروفایل

استاد

• Control Theory
• Differential Flatness
• Controllability Analysis
• +۵ مورد دیگر

Professor Hugues MOUNIER is affiliated with Paris Saclay University and the Laboratoire des Signaux et Systèmes (L2S) at CentraleSupélec. His primary role is as a Professor leading the COMEDY team, focusing on control systems and their applications. He has been a permanent member of L2S since 2010 and joined Paris Saclay University in 2008. His research spans theoretical and applied domains: differential flatness (for nonlinear and infinite-dimensional systems), Liouvillian systems, controllability/observability properties, and applications in contemplative neuroscience, physiological systems, and engineering systems like drilling, automotive, and network control. He leads the ANR project MindMadeClear, integrating mathematical models for meditation practices with physiological and phenomenological analysis. Key contributions include modeling oilwell drilling vibrations, model-free control strategies for vehicles and data centers, and neuroscientific studies using EEG classification for meditation states. His work bridges abstract theory (e.g., flatness analysis for HPA axes) with real-world applications (e.g., congestion control, energy management). He collaborates internationally, presenting at venues like ECC, IFAC, and IEEE conferences. His lab teams include SYCOMORE and MODESTY, focusing on dynamical systems modeling and estimation. No awards are explicitly listed, but his extensive peer-reviewed publications reflect sustained academic impact.

Jean-Baptiste Bouvenotمشاهده پروفایل

مدرس

• Energy Systems
• Thermal Transfers
• Thermodynamics
• +۵ مورد دیگر

Jean-Baptiste Bouvenot is a Lecturer at the University of Strasbourg, affiliated with the ICube research unit's 'Civil Engineering-Energy' team. His research focuses on decentralized energy production, micro cogeneration systems, thermal transfers, and geothermal energy solutions for building efficiency. He holds a PhD in Energy Engineering (2015) and has authored books like Heat Transfer by Example (2015) and Climate and Energy Engineering (2019-2024). His work integrates experimental and numerical methods to optimize energy systems, including greywater heat recovery, rainwater geothermal tanks, and clay-based thermal insulation materials. Key research areas include: (1) Micro cogeneration systems coupling with residential buildings, (2) Geothermal and rainwater-based energy storage, (3) Thermal analysis of building materials, and (4) Stochastic modeling of energy demand. His publications span journals like Energy and Buildings and Applied Thermal Engineering , emphasizing experimental validation and numerical simulation. Bouvenot's contributions include developing energy simulation platforms for micro-CHP systems and optimizing hybrid geothermal solutions. His recent work (2020-2025) explores low-energy domestic hot water systems and passive cooling strategies using innovative thermal storage concepts.

Charles Bertucciمشاهده پروفایل

پژوهشگر

• Analysis PDEs
• Mean Field Games
• Game theory
• +۴ مورد دیگر

Charles Bertucci is a CNRS researcher in Mathematics at the Applied Mathematics department of École polytechnique in Palaiseau, France. He also serves as a part-time teacher at École polytechnique since 2020. Bertucci defended his thesis on December 11, 2018, and his Habilitation à Diriger les Recherches (HDR) in June 2022, granting him accreditation to supervise research. His educational background includes being a former student of École Polytechnique (class of 2012) and Paris-Sorbonne University. His doctoral studies were conducted at Paris-Dauphine University under the supervision of Pierre-Louis Lions. Bertucci's research focuses primarily on mean-field game theory , optimization , and the analysis of partial differential equations . He is particularly interested in identifying stability principles for equations posed in infinite dimensions. His work spans theoretical mathematics with applications in economics, finance, and real-world phenomena such as oil markets, cryptocurrency markets, and telecommunications. His interdisciplinary approach bridges pure mathematics with practical applications in various economic and technological domains. Analysis of his recent publications reveals a strong focus on mean field games theory, with extensions to applications in finance (particularly cryptocurrency markets), optimal transport theory, and connections to PDEs. His work often involves collaborations with leading mathematicians including Pierre-Louis Lions, Jean-Michel Lasry, and others. The research demonstrates both theoretical depth in mathematical analysis and practical relevance to economic modeling. His notable scientific achievements include: Recipient of the prestigious Peccot Course for 2022-2023 at Collège de France Bertucci has been actively involved in academic service, including organizing the workshop "Mean Field Games and Applications" in 2022 with Yves Achdou, Jean-Michel Lasry and Pierre-Louis Lions. His teaching activities include delivering the Peccot Course on "Mean-field games and stochastic control in Wasserstein space" in 2023 at Collège de France, consisting of four lectures between March 31 and April 21, 2023. His research is conducted within the vibrant mathematical community at École polytechnique and through collaborations with researchers at CNRS and other institutions, focusing on advancing the theoretical foundations of mean field games while exploring novel applications across various domains.

Bruno Delacressonniereمشاهده پروفایل

دانشیار

• RF Electronics
• Electromagnetic Compatibility (EMC)
• Analog Electronics
• +۷ مورد دیگر

Bruno Delacressonniere is an Associate Professor at ENSEA, affiliated with the Quartz laboratory and Electronic Systems department. His research focuses on RF electronics, electromagnetic compatibility (EMC), and advanced electronic systems including optical communications and sensor technologies. He teaches courses in analog electronics, microelectronics, and sensor systems. His research activities span nanophotonics for network-on-chip (NoC) architectures, reliability analysis of RFID systems, and innovative antenna designs for energy harvesting. He has contributed to advancements in optically controlled oscillators, SiGe-based phototransistors, and tunable microwave components using CMOS/SiGe technologies. Delacressonniere has supervised numerous Master’s theses and projects (PFE) focusing on embedded systems and RF design. His work bridges theoretical research with practical implementations, emphasizing energy-efficient solutions and high-reliability electronics for harsh environments. He leads the Electronic Systems team at Quartz, collaborating on projects involving 3D optical integration, microwave filter design, and photonics-based interconnects for multiprocessor systems. His publications reflect a strong emphasis on integrating nanophotonics and advanced semiconductor technologies for next-generation electronic systems.

Luc Jaulinمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Underwater Robotics
• +۴ مورد دیگر

Luc Jaulin is a Professor at the University Bretagne Occidentale and affiliated with Lab-STICC (UMR 6285) and ENSTA Bretagne. His research focuses on robotics, control systems, underwater navigation, and interval analysis. He leads projects in autonomous systems, such as robotic exploration (Robex) and underwater vehicle control. He has extensive teaching experience in robotics, including courses on mobile robotics, Kalman filtering, and nonlinear control. His work integrates theoretical methods with practical applications, emphasizing reliable state estimation and set-based approaches. Education and Affiliations: Professor at University of Western Brittany (ENSTA Bretagne) Laboratory: Lab-STICC, UMR 6285 Participates in the Master SDS program at Angers, focusing on robotics and automation research. Research Interests: Autonomous robotics and underwater vehicle navigation Interval analysis and set-membership methods Control systems and real-time algorithms Robot localization and SLAM Algorithm development for marine robotics Advising and Grants: Supervised over 100 students in robotics-related stages and theses. Contributed to projects like ANR ElectroKarst (underwater exploration) and Robotic Spacecraft design. Collaborates with industries (e.g., Thales, FORSSEA Robotics) and academic institutions globally. Labs and Teams: Core member of Lab-STICC and the Robex (Robotics Exploration) team, focusing on innovative robotics solutions.

Saddek Bensalemمشاهده پروفایل

استاد

• Formal Methods
• Verification
• Embedded Systems
• +۷ مورد دیگر

Saddek Bensalem is a Professor at Université Grenoble Alpes (UGA), affiliated with the Laboratoire Verimag within the Grenoble Institute of Technology. His research focuses on rigorous system design, formal methods for verification, and the integration of learning-enabled components into safety-critical systems. He leads projects like FETLAS (Engineering Trustworthy Learning-enabled Autonomous Systems) and has contributed to frameworks such as BIP for component-based system design. Research Interests: Formal verification of real-time systems, model-based design, cyber-physical systems, autonomous robotics, and security in IoT. His work emphasizes scalable verification techniques and correctness-by-construction approaches. Recent Projects: FOCETA (H2020): Foundations for continuous engineering of trustworthy learning-enabled systems. BRAIN-IoT: Framework for smart IoT-CPS integration and security. CPS4EU: Strengthening European capabilities in cyber-physical systems. Labs & Teams: Laboratoire Verimag, leading the Rigorous System Design team (2008-2020) and currently advancing autonomous systems research. Active in collaborations with institutions like NASA/JPL and SRI International.

• Heterogeneous Catalysis
• Clean Fuels
• Catalyst Development
• +۳ مورد دیگر

Christine Lancelot is a Lecturer at Lille University , affiliated with the Unit of Catalysis and Solid State Chemistry (UCCS, UMR CNRS 8181) . She has been active since 1991, with a focus on heterogeneous catalysis for clean fuel production and advanced nanomaterials characterization. Research Interests: Her work centers on developing and characterizing innovative catalysts for hydrodesulfurization (HDS), oxidative desulfurization (ODS), and hydrotreating processes. Key areas include mesoporous aluminas and zeolites , Transmission Electron Microscopy (TEM, HRTEM, EELS) , and collaborations with institutions like CP2M (Marseille) and LPS (Orsay). Education & Teaching: She teaches Advanced Nanomaterials Characterization at the master's level and supervises practical work in General Chemistry and Spectroscopy . Recent Publications: Her 2020–2024 studies highlight advancements in gas-phase sulfidation , ultrasound-assisted ODS , and mixed MoWS2 phases for enhanced catalytic activity. These works appear in journals like Applied Catalysis B: Environmental and ACS Catalysis . Collaborations: Christine is a member of the LIA (Associate International Laboratory) on sustainable environmental catalysis and works with industrial partners on hydrotreating and fuel processing projects.

• Automatic Control
• Systems Engineering
• Wireless Communications
• +۲ مورد دیگر

Pierre Combeau serves as an Associate Professor within the School of Engineering at the University of Poitiers, France, affiliated with the LIAS laboratory (Laboratoire d'Informatique et d'Automatique pour les Systèmes)—a joint research unit between ENSIP (École nationale supérieure d'ingénieurs de Poitiers) and ISAE-ENSMA. His work centers on the Automatic Control Team, contributing to France's national research infrastructure in systems engineering. His research integrates Automatic Control and Systems Engineering with real-world applications in wireless communications and intelligent transport systems. Key specialties include power control algorithms for LTE networks, smart antenna design for vehicular communications, and chaos-based secure transmission methods. This interdisciplinary approach bridges theoretical control frameworks with practical implementations in telecommunications infrastructure and mobility solutions, emphasizing robustness and efficiency in dynamic environments. Publication analysis reveals consistent focus on control-theoretic solutions for communication challenges, particularly in power optimization, adaptive beamforming, and chaos-driven security protocols. His work spans theoretical advancements—such as LMI-based controller synthesis—and applied deployments in transport telematics and indoor wireless systems, demonstrating strong industry-academia collaboration through IEEE-published outcomes. Scientific Awards: No awards or fellowships were documented in the source material. Advising and Grants: The text provides no details regarding doctoral students, research grants, or funded projects under his supervision. Laboratory Structure: LIAS operates across two sites—ENSIP in Poitiers (Bâtiment B25) and ISAE-ENSMA in Chasseneuil (Téléport 2)—organized into three core teams: Automatic Control, Data Engineering, and Real Time. Combeau's contributions specifically advance the Automatic Control Team's mission in dynamic system regulation.

Dario Colazzoمشاهده پروفایل

استاد

• Databases
• Programming Languages
• Cloud Computing
• +۷ مورد دیگر

Dario Colazzo is a Professor at Université Paris-Dauphine, affiliated with the LAMSADE laboratory. His research focuses on database systems and programming languages, particularly in cloud databases, type systems for semi-structured data, and query processing optimizations. He has contributed extensively to XML and XQuery research, including parallel query execution and static analysis techniques. His teaching includes courses on programming (Java), UML, database systems, and semantic web technologies at both undergraduate and graduate levels (in French). Key research interests span XML/XQuery optimization, JSON processing, distributed systems, and type systems for safe and efficient data handling. His work emphasizes scalable cloud-based solutions and efficient query execution models. Publications highlight advancements in parallel query processing (e.g., PAXQuery), type-based optimizations for XML updates, and semantic graph analytics. He has collaborated with institutions like EDBT, WWW, and VLDB conferences.

• Phonetics
• Clinical Phonetics
• Acoustic Phonetics
• +۱۲ مورد دیگر

Anna MARCZYK BUKLAHA is a Lecturer (Maître de Conférences) in the Department of Language Sciences at the University of Toulouse - Jean Jaurès, affiliated with the NeuroPsychoLinguistics Laboratory (LNPL, UR 4156). She teaches courses in articulatory phonetics (L2), acoustic phonetics (L3), and neuropsycholinguistics at the master’s level. Her academic appointment began in 2022, following several years of postdoctoral research. Her research lies at the intersection of phonetics, neurolinguistics, and clinical speech science. She investigates acoustic, articulatory, and perceptual aspects of speech , with a focus on speech disorders, atypical speech patterns, vowel clarity, and intelligibility assessment . Her work integrates clinical applications with rigorous acoustic and behavioral analysis, particularly in aging populations and individuals with speech impairments. The trends in her recent publications highlight a strong focus on quantitative, feature-based evaluation of speech using advanced acoustic metrics such as spectrotemporal modulation. Her studies often involve interdisciplinary collaboration and aim to develop better tools for diagnosing and assessing speech pathologies. Themes include transfer effects from singing to speech, optimization of test materials, and objective measurement of speech clarity. Scientific Awards: Extraordinary Thesis Prize, Autonomous University of Barcelona (2015) Anna MARCZYK BUKLAHA has not advised any named students in the provided text, and no information about grants or funding is available. However, her sustained postdoctoral activity across multiple institutions (Aix-Marseille, Grenoble Alpes, Toulouse, Geneva) suggests active participation in research projects and collaborative networks. Laboratory Affiliation: She is an active member of the NeuroPsychoLinguistics Laboratory (LNPL) , a research unit dedicated to understanding the cognitive and neural underpinnings of language production and perception, particularly in clinical contexts.

• Materials Science
• Mechanical Engineering
• Structural Optimization
• +۳ مورد دیگر

Fatma ABID is a Lecturer and researcher at CESI Lyon, affiliated with the Engineering and Numerical Tools Research team. She holds a PhD in Mechanics from INSA Rouen (2019) and an Electromechanical Engineering degree from ENIS, Tunisia (2016). Her research focuses on materials integration, uncertainty quantification, and reliability optimization of structures, particularly involving shape memory alloys (SMAs) and micro-actuators. Education: Doctor of Mechanics, INSA Rouen, 2019 Electromechanical Engineer, ENIS (Tunisia), 2016 Research Interests: Reliability-based design optimization Uncertainty analysis in structural systems Finite element modeling of materials Application of meta-modeling and surrogate methods Her publications emphasize robust design methodologies for SMA actuators and structures, leveraging polynomial chaos expansions and numerical modeling under perturbations. She has contributed to automotive suspension systems and MEMS technologies through advanced optimization frameworks. Grants & Awards: No awards listed. Advising: No formal advisees listed. Labs/Teams: Member of CESI's Engineering and Numerical Tools Research group.

Savin Ivanمشاهده پروفایل

دانشیار

• economics of innovation
• environmental economics
• climate policy
• +۴ مورد دیگر

Savin Ivan is an Associate Professor of Quantitative Analytics at ESCP Business School's Madrid Campus, where he teaches Advanced Statistics, Machine Learning, and Innovation and Business Ideas courses. He also directs the Master in Management (MiM) specialization in 'AI and Robotics,' contributing significantly to the school's quantitative analytics curriculum and research initiatives. Education: PhD in Economics (2011) from Justus Liebig University of Giessen (Chair of Econometrics) Habilitation (2017) at KIT with thesis titled 'Applications of Evolutionary Optimization and Modelling in Economics' Savin Ivan's research spans multiple interconnected fields at the intersection of economics, environmental policy, and computational methods. His primary focus centers on the economics of innovation, where he examines how technological change and creative processes drive economic development. He has made significant contributions to environmental economics, particularly regarding climate policy effectiveness and implementation challenges. His work on complex systems applies evolutionary and agent-based modeling approaches to understand economic dynamics that traditional models cannot capture. His research on evolutionary economics explores how economic systems evolve through processes analogous to biological evolution, with particular attention to innovation diffusion and technological trajectories. His methodological expertise in machine learning and computational linguistics enables sophisticated analysis of large datasets related to climate policy and economic behavior. His recent publications reveal a clear trend toward interdisciplinary climate policy research that combines computational linguistics with environmental economics. A significant portion of his work analyzes the content of international climate commitments using text mining techniques. He increasingly investigates the social dimensions of climate policy, examining public opinion, cultural factors, and behavioral responses to different policy instruments. His research also demonstrates growing interest in the intersection of AI and climate policy, including comparing expert recommendations with AI-generated advice. Many of his papers employ agent-based modeling to simulate complex policy scenarios that traditional economic models cannot adequately address. Savin Ivan has built a substantial research portfolio with over 75 articles published in JCR-indexed international journals, including prestigious outlets such as Nature Sustainability, Nature Communications, Proceedings of the National Academy of Sciences, and numerous field-specific journals in innovation economics and climate policy. His work appears consistently in Q1 and D1 ranked journals, demonstrating both academic rigor and relevance to pressing societal challenges. Prior to joining ESCP, Ivan held postdoctoral positions at ICTA-UAB working on the ERC project EVOCLIM, where he studied climate policy effectiveness using public and expert surveys combined with artificial intelligence methods. He previously contributed to the KIT-BETA project on general-purpose technologies, creativity, and sustainability, and served as a postdoctoral researcher at Friedrich Schiller University in the Graduate College 'The Economics of Innovative Change.'