جست‌وجوی استاد و پژوهشگر

• Additive Manufacturing
• Materials Science
• Metallurgy
• +۲۲ مورد دیگر

Jean-Daniel Penot is a Researcher at CESI's Research and Innovation Department , with expertise in additive manufacturing, materials science, and industrial integration. His work bridges advanced manufacturing technologies with environmental sustainability and educational innovation. Doctorate in Materials Physics (2010) Engineering Degree in Physics (2007) Research Master in Optoelectronics (2007) Penot's research spans Additive Manufacturing and its applications in automotive, nuclear, and construction sectors. He focuses on Laser-Material Interaction , Machine Learning for process optimization, and Sustainable Engineering through life cycle assessments and geopolymer applications. His recent publications emphasize BIM , AM Modular Plants , and Defect Analysis in 3D-printed metals. Penot leads France Additive initiatives and contributes to International Standards as a board member. Penot supervises PhD students including Maryam Houhou and Amal Khabouchi , with a focus on Industrial Security and Energy Transitions . His projects integrate Thermal Comfort , Ultrasonic Inspection , and Quality Assurance in additive manufacturing systems.

Thibault Tricardمشاهده پروفایل

دانشیار

• Computer Graphics
• Procedural Modeling
• 3D Printing
• +۵ مورد دیگر

Thibault Tricard is an Associate Professor at Ensimag Grenoble and a permanent researcher in the Maverick team at Inria Grenoble. His work bridges Computer Graphics and Additive Manufacturing , focusing on procedural methods for virtual world content generation. His research interests include: Procedural modeling for surface and microstructure details Mesh shaders and GPU-accelerated volume rendering 3D printing optimization with staggered infill structures Recent publications like Interval Shading (HPG 2024) and Procedural Phasor Noise (ACM Siggraph 2020) highlight trends in real-time rendering and fabrication-aware procedural synthesis. Awards include the GDR IG-RV Thesis Award 2023 . He advises PhD students and collaborates with researchers such as Sylvain Lefebvre and Hans-Peter Seidel. Teaching includes GP-GPU High-Performance Computing and 3D Graphics at Inp Grenoble and UGA Mosig. Personal projects like the LavaCake Vulkan library emphasize developer accessibility.

Pierre Jourlinمشاهده پروفایل

استاد

• Computer Science
• Artificial Intelligence
• Programming Languages
• +۳ مورد دیگر

Pierre Jourlin is a Professor at Avignon University, specializing in Computer Science and Artificial Intelligence. He actively contributes to academic events such as workshops on programming education and AI ethics. His research focuses on areas like natural language processing, machine learning, and the societal impact of AI. Jourlin has organized events like a programming workshop for high school students (2022) and authored numerous articles on topics ranging from rule-based event extraction to generative AI in creative writing. His academic contributions include work on semantic disambiguation, medical literature tools (SIMI), and foundational studies in speech recognition and multimedia retrieval. He critiques AI limitations, emphasizing the importance of human oversight in code generation and advocating for accessible education to counteract underfunding in public schools. Jourlin's recent publications (2024–2025) address AI's role in creative fields and the evolution of programming languages. His work often bridges technical innovation with ethical considerations, as seen in his analysis of code-producing AI tools like Copilot. He remains an active member of the academic community, blending research with pedagogical outreach.

Zhiyang Shenمشاهده پروفایل

دانشیار

• Environmental and Energy Economics
• Efficiency and Productivity Analysis
• Banking Performance Evaluation
• +۴ مورد دیگر

Zhiyang Shen is an Associate Professor at the IÉSEG School of Management, specializing in Economics with a focus on Environmental and Energy Economics, Efficiency Analysis, and Sustainable Development. He holds a Ph.D. in Economics from the University of Lille 1 (2016) and an HDR (Habilitation) in Economics from the University of Lille (2023). His research explores the intersection of digital technology, energy transitions, and environmental policy, with a particular emphasis on green productivity and climate resilience in developing economies. Education: 2023: HDR in Economics, University of Lille, France 2016: Ph.D. in Economics, University of Lille 1, France 2013: Master in Public Economics and Public Finance, University of Rennes, France 2012: Master of Business Administration, Rouen Business School, France Research Interests: Shen’s work centers on measuring and improving environmental and economic efficiency through advanced methodologies like Data Envelopment Analysis (DEA). He investigates topics such as energy transitions, carbon neutrality strategies, and the role of digital technologies in fostering sustainable growth. His studies often address policy-relevant questions in China and other Belt and Road countries. Publications: His recent work highlights themes such as green productivity decomposition, energy security, and the impact of digitalization on energy efficiency. Key contributions include analyzing agricultural productivity in Belt and Road nations and evaluating renewable energy policies in China. Professional Experience: 2022–present: Associate Professor, IÉSEG School of Management 2020–2022: Assistant Professor, Beijing Institute of Technology 2013–2022: Research and Teaching roles at IÉSEG 2017–2020: Economic Analyst/Manager, China Ex-Im Bank 2009–2011: Civil Servant, Bengbu Municipal Bureau of Finance Labs/Teams: Member of the Laboratory of Economics and Management (LEM) at IÉSEG.

Frédéric BERTRANDمشاهده پروفایل

استاد

• Statistical Modelling
• Statistical Learning
• Artificial Intelligence
• +۵ مورد دیگر

Frédéric BERTRAND is a Full Professor at the Université de Technologie de Troyes (UTT), part of the Computer Laboratory and Digital Society (LIST3N). He previously held positions at the Université de Strasbourg and Institut de Recherche Mathématique Avancée (IRMA). His academic qualifications include a habilitation to direct research (HDR) from the Université de Strasbourg, a Ph.D. from Université Louis Pasteur, and membership in the École Normale Supérieure de Lyon. He specializes in statistical modeling, machine learning, and artificial intelligence, with applications in bioinformatics, biostatistics, and medical data analysis. Roles and Affiliations: Full Professor at UTT Director of the Mastère Spécialisé in Big Data Analytical and Decisional Aspects Responsible for the OSS ED361 SPI specialty Responsible for the PEA Impact program Member of the LIST3N laboratory Research Interests: His work focuses on statistical and machine learning methods applied to complex systems, including bioinformatics, medical data analysis, and process mining. Key areas include Bayesian networks, partial least squares regression (PLS), variable selection algorithms, and handling missing data in large-scale datasets. He has developed multiple R packages, such as selectBoost , bootPLS , and Patterns , which are widely used in statistical modeling and data analysis. Publications and Contributions: He has authored/co-authored over 38 scientific articles, 14 books, and 14 R packages. His research emphasizes methodological advancements in statistics and their practical applications in biology, healthcare, and industry. Notable contributions include developing algorithms for high-dimensional data analysis and collaborative projects on cancer genomics and proteomics. Teaching: He teaches advanced courses in statistics, mathematics, and data analysis at the graduate and postgraduate levels, including modules on uncertainty analysis and complex systems at UTT and the Université de Strasbourg.

Grégory Battمشاهده پروفایل

پژوهشگر

• Systems biology
• Synthetic biology
• Quantitative modeling
• +۱۵ مورد دیگر

Grégory Batt is a Researcher and Head of the InBio joint research group at the Institut Pasteur and Inria Paris. The lab operates at the intersection of wet and dry biology, focusing on systems and synthetic biology with an emphasis on automation, modeling, and real-time control of cellular processes. The team is affiliated with both institutions and hosts a multidisciplinary group of researchers, engineers, and students. The research interests of Grégory Batt span systems biology, synthetic biology, quantitative modeling, lab automation, bioproduction, and single-cell analysis . His work integrates computational and experimental approaches to develop frameworks for understanding and controlling cellular behavior. Key methodologies include the use of synthetic biology, microfluidics, optogenetics, and robotics. The lab has developed innovative software tools such as ReacSight and MicroMator to enable automated and reactive experimentation. Recent publications highlight trends in real-time control of bioproduction, optimization of protein secretion, parameter inference in stochastic models, and ecological frameworks for antibiotic resistance . These works demonstrate a strong focus on integrating modeling with high-throughput experimentation to solve problems in biotechnology and medicine. Scientific contributions include: Development of ReacSight for bioreactor automation and reactive control Creation of MicroMator for reactive microscopy Application of ecological concepts to bacterial antibiotic responses Modeling stochastic kinetics coupled with auxiliary processes Batt advises several PhD students and postdoctoral researchers, including Henri Galez, Alicia Da Silva, Cecilia Capela, and Viktoriia Gross. His lab has received support from ANR, Inria, and other funding bodies. The InBio team operates a state-of-the-art laboratory equipped with bioreactors, liquid handling robots, flow cytometers, automated microscopes, and high-performance computing resources, enabling advanced research at both population and single-cell levels. The lab, located at the Yersin and Lwoff buildings of the Institut Pasteur in Paris, fosters a collaborative environment integrating molecular biology, microbiology, and computational modeling to advance quantitative understanding of cellular systems.

David Chisnallمشاهده پروفایل

پژوهشگر

• Cross-language interoperability
• Hardware-software co-design
• Compiler design
• +۴ مورد دیگر

David Chisnall is a researcher affiliated with the University of Cambridge and active in systems programming, compiler design, and cross-language interoperability. He contributes to conferences like POPL, PLDI, ISMM, and SPLASH, with particular focus on secure compilation and memory management.

Lionel Pichonمشاهده پروفایل

پژوهشگر

• Electromagnetics
• Electromagnetic Compatibility
• Wireless Power Transfer
• +۴ مورد دیگر

Lionel Pichon is a leading researcher at the Laboratory of Electrical and Electronic Engineering of the University of Paris. His primary affiliations include the Department of Electrical and Electronic Engineering of Paris, where he specializes in advanced electromagnetic research. His work focuses on Electromagnetics , Electromagnetic Compatibility (EMC) , and Wireless Power Transfer , with particular emphasis on composite materials, biomedical applications, and automotive systems. Expertise in numerical methods (FDTD, FIT, DGTD) for electromagnetic simulations Pioneer in shielding effectiveness analysis for composite materials Developer of AI-driven approaches for dielectric property characterization Over 70 publications since 2017 highlight his contributions to fields like inductive power transfer systems, medical device EMC, and GPR imaging techniques. Collaborates extensively with institutions globally, including research on antenna design for implantable medical devices and electromagnetic compatibility in healthcare facilities. Current research trends emphasize machine learning integration with traditional electromagnetic analysis to optimize system performance and safety standards.

Guillaume Huardمشاهده پروفایل

دانشیار

• High Performance Computing
• Applications Traces
• Monitoring & Collection Aggregation & Visualization Runtime
• +۵ مورد دیگر

Guillaume Huard is an Associate Professor at Grenoble Alpes University, affiliated with the LIG Laboratory and the POLARIS Research Team . His research focuses on high-performance computing (HPC), particularly in tracing, performance analysis, and optimization of parallel applications, compiler optimization, and architecture. PhD in 2002 from École Normale Supérieure de Lyon under Alain Darte His research interests span applications tracing, monitoring and visualization of runtime data, application deployment, scheduling, performance evaluation, resource utilization, and cache/memory footprint optimization. His work often addresses challenges in NUMA architectures and large-scale trace analysis. Guillaume's publications highlight trends in memory trace collection (e.g., Moca system), spatiotemporal data aggregation, NUMA-aware visualization tools (e.g., TABARNAC), and cache utilization control. Key subfields include performance debugging, compiler transformations, runtime environments, and multidimensional data aggregation techniques. Guillaume is actively involved in the POLARIS Bootcamp and DATAMOVE/POLARIS events , contributing to collaborative research and educational initiatives in HPC.

• Parallel algorithms
• Distributed databases
• MapReduce model
• +۵ مورد دیگر

Mostafa BAMHA is an Associate Professor (Maître de Conférences) at the University of Orleans, affiliated with the LIFO Laboratory (Laboratoire d'Informatique Fondamentale d'Orléans). He leads research in parallel and distributed computing, focusing on MapReduce optimization , data skew handling , and scalable graph processing . Member of the PRV team (Parallelism, Virtual Reality, System Verification) Active in projects: HPIAF (High Performance computing for AI in Finance) INEx (Cloud Computing experiments) Girafon (Graph & BigData processing) Research Trends His publications from 2018–2024 show focus on: MapReduce optimizations for join operations and LSH similarity joins Graph processing challenges in Pregel with high-degree vertices Skew-insensitive algorithms across distributed architectures Academic Contributions Co-author in 15+ peer-reviewed publications (2000–2024) including International Journal of Parallel Programming , DEXA , and HLPP conferences. Key collaborators: Sébastien Rivault , Mohamad Al Hajj Hassan , Sophie Robert .

Sinan Sarpcaمشاهده پروفایل

استاد

• Public Economics
• Economics of Education
• Industrial Organization
• +۱ مورد دیگر

Sinan Sarpca is a Professor of Economics at Koc University, serving as Director of the Graduate School of Social Sciences and Humanities. He maintains an affiliation with École Normale Supérieure de Lyon (currently on leave), with research spanning public economics, economics of education, industrial organization, and applied econometrics. His work examines market competition in education systems and policy impacts on educational access. Education: PhD in Economics, Carnegie Mellon University Sarpca investigates how market structures in educational choice systems affect outcomes through theoretical, computational, and empirical methods. His research analyzes peer effects, price discrimination, voucher programs, and residential sorting due to school quality, focusing on income-ability dynamics in educational equity and efficiency. His 15 most recent publications (2023-2006) consistently explore higher education markets and K-12 school choice systems. Dominant themes include university market power, peer effects in high schools, housing-education welfare linkages, and voucher policy impacts. Methodologically, he integrates industrial organization theory with econometric analysis to evaluate real-world educational systems. Funded by TUBITAK (Turkey) and IDEXLyon (France), Sarpca's research examines competition and policy design in education. As Graduate School Director, he oversees graduate programs though specific advisees aren't listed. He holds additional affiliations including CESifo Research Fellow status.

Sophie Huibertsمشاهده پروفایل

پژوهشگر

• Linear Programming
• Mixed Integer Programming
• Algorithm Analysis
• +۴ مورد دیگر

Sophie Huiberts is a CNRS researcher at LIMOS, Clermont Auvergne University in Clermont-Ferrand since fall 2023. Previously, she was a Simons Junior Fellow at Columbia University in New York City, hosted by Tim Roughgarden. She completed her PhD research at Centrum Wiskunde & Informatica in Amsterdam under Daniel Dadush and received her doctorate in 2022 from Utrecht University. Dr. Huiberts specializes in theoretical aspects of mathematical optimization, particularly focusing on the gap between practical performance and theoretical predictions of linear programming algorithms. Her research examines software implementations like Gurobi, CPLEX, SCIP, and HiGHS to understand why these algorithms perform better in practice than worst-case analysis would suggest. She has made significant contributions to smoothed analysis of the simplex method, establishing both upper and lower bounds on its complexity under perturbations of worst-case inputs. Analysis of her publication record shows consistent focus on bridging theoretical computer science with practical optimization methods. Her work spans linear programming theory, integer programming, combinatorial optimization, and computational geometry, with particular emphasis on understanding the geometric properties of optimization problems and the behavior of algorithms on real-world instances. Simons Junior Fellowship Dr. Huiberts maintains active engagement with the research community through social media platforms including Mastodon and Bluesky, and produces high-quality recordings of her research talks available on YouTube. She has made a conscious decision to stop air travel since 2023 due to climate concerns, demonstrating commitment to sustainable research practices while maintaining scientific connections through digital means. She is affiliated with LIMOS (Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes), a research laboratory at Clermont Auvergne University focused on computer science, modeling, and optimization systems, where she continues her investigations into the theoretical foundations of practical optimization algorithms.

• Fluid Mechanics
• Turbulence
• Rotating Turbulence
• +۳ مورد دیگر

Godeferd Fabien is a CNRS Researcher and former Head of the Turbulence and Instabilities team (2006-2015) at the Laboratory of Fluid Mechanics and Acoustics (UMR 5509) in Lyon, France. His research focuses on fluid mechanics, with emphasis on rotating and stratified turbulence, inertial wave dynamics, and geophysical fluid dynamics. He leads the Henri Bénard Center, an ERCOFTAC pilot center for fluid dynamics research. Research Interests: His work explores turbulent energy partitioning between waves and eddies in rotating systems, inertial wave focusing, and multiscale modeling of biological and geophysical flows. Recent studies include shock-like inertial wave focusing and vascular remodeling simulations under turbulent conditions. Publications: Recent work highlights inertial wave dynamics in rotating fluids, wave-eddy interactions in stratified turbulence, and computational models of intimal hyperplasia. These studies bridge fundamental fluid mechanics with applications in biomedical engineering and geophysics. Leadership: As team leader and center director, he coordinates large-scale numerical simulations and experimental facilities at LMFA, including high-performance computing resources and advanced flow measurement techniques (PIV, LDV, etc.). Labs & Teams: Active within the Turbulence & Instabilities team, collaborating with interdisciplinary groups on biofluid dynamics and plasma turbulence. Supports the lab’s partnerships with industries and academic institutions for applied research.

• Fluid Mechanics
• Acoustics
• Turbulence Modeling
• +۴ مورد دیگر

Denis Jeandel is a Researcher at the Laboratory of Fluid Mechanics and Acoustics (LMFA), University Claude Bernard Lyon 1, France. He specializes in turbulence modeling, flow instability analysis, and fluid dynamics. His work encompasses a wide range of applications, including electric arc dynamics, combustion chamber aerodynamics, and numerical methods for multiphysics problems. He is part of the Turbulence & Instabilities research team and contributes to advancements in computational fluid dynamics (CFD), finite element methods, and boundary layer studies. Research Interests: Turbulence Modeling and Simulation Electric Arc Behavior in Circuit Breakers Internal Aerodynamics of Combustion Chambers Thermal-Hydraulic Phenomena Lagrangian Stochastic Modeling for Atmospheric Dispersion Shock-Wave and Multiphase Flow Dynamics Publications Highlight Key Contributions: His work spans numerical methods for second-order turbulence closures, coupled electromagnetic-aerothermal simulations, and boundary layer stability analysis. Recent publications focus on improving accuracy in high-speed flow simulations and electric arc initiation modeling. Awards and Recognition: No specific awards mentioned in the provided texts, though his sustained research output indicates active recognition in the field. Lab and Team Involvement: He collaborates with the Turbulence & Instabilities team at LMFA to address complex fluid dynamics challenges, leveraging state-of-the-art experimental and numerical tools.

Mohamad Mroueمشاهده پروفایل

پژوهشگر

• Embedded Systems
• FPGA
• Electronics
• +۵ مورد دیگر

Mohamad Mroue is affiliated with the Laboratory at the Electrical and Electronic Engineering of Paris, focusing on cutting-edge research in Embedded Systems, FPGA, Electronics, IoT, and Wireless Communications. His work emphasizes FPGA-based solutions for power optimization, reconfigurable wireless systems, and low-power wide-area networks (LPWANs). He has contributed to advancements in partial reconfiguration techniques, machine learning integration for hardware monitoring, and secure mobility management protocols for IoT devices. His research spans multiple domains including UWB transceiver design, PAPR reduction in DVB-T2 systems, and innovative sensor networks. Collaborations with colleagues like Jean-Christophe Prevotet and Fabienne Nouvel highlight his interdisciplinary approach to solving complex engineering challenges. Mroue’s publications reflect a strong emphasis on practical implementations and real-world applications of embedded and wireless technologies. Key technical contributions include an ARM-FPGA platform for adaptive wireless communication, automated data generation systems, and energy-efficient solutions for IoT mobility. His work bridges theoretical research with hands-on prototyping, often leveraging FPGA capabilities for high-performance and flexible systems.