جست‌وجوی استاد و پژوهشگر

Cédric Bucheمشاهده پروفایل

استاد

• Artificial Intelligence
• Virtual Reality
• Machine Learning
• +۶ مورد دیگر

Cédric Buche is a Professor at the National Engineering School of Brest (ENIB) in France and serves as the R&D Director at Naval Group Pacific in Australia. He holds honorary adjunct professorships at the University of Adelaide and Flinders University, contributing to international research collaborations through his work at CNRS's International Research Lab "CROSSING" in Australia. His research spans artificial intelligence, robotics, and virtual reality, with a focus on adaptive systems and human-robot interaction. He has led projects like RoboCup@Soccer and CHAMELEON2, integrating machine learning with real-world applications in navigation, perception, and decision-making. Buche teaches interactive machine learning at ENIB, emphasizing robot programming via hands-on projects using ROS 2. Students engage in coding exercises involving sensory-motor control, SLAM, and line-following algorithms, applying principles of PID control and computer vision with OpenCV.

Mustapha Ouladsineمشاهده پروفایل

استاد

• Diagnostic and Prognostic Methods for Complex Systems
• Artificial Intelligence in Healthcare
• Machine Learning Applications in Semiconductor Manufacturing
• +۳ مورد دیگر

Professor at Aix Marseille University's Faculty of Sciences , Mustapha Ouladsine leads cutting-edge research in diagnostic and prognostic methods for complex systems . As Vice-President for Research Infrastructure and AI since 2020, he oversees LIS Computer Science and Systems Laboratory. Directed LIS UMR 7020 (2018–present) Former Director of LSIS UMR 7296 (2008–2018) Scientific manager for €1.2M+ projects with STMicroelectronics Research Focus : Developed innovative approaches for: Equipment health index modeling in semiconductor manufacturing Dynamic sampling techniques for High-Mix Low-Volume systems Fault-tolerant control systems for drones and autonomous robots AI-based cardiac arrhythmia detection with Timone Hospital Scientific Leadership : Founded Aix-Marseille Research Federation in Computer Science Active associate editor for IEEE journals and conferences Coordinated 17+ recruitment committees at Aix Marseille University

Bruce DENBYمشاهده پروفایل

استاد

• Speech Processing
• Silent Speech Interfaces
• Telecommunications
• +۴ مورد دیگر

Bruce DENBY is a Professor at Sorbonne University specializing in speech processing, telecommunications, and indoor localization. His research spans multiple disciplines including computer science, physics, and environmental science with significant contributions across these fields. His primary research interests include: Silent Speech Interfaces and speech restoration technologies Indoor localization using wireless networks and GSM fingerprints Telecommunications and signal processing Environmental modeling of road dust and air pollution Machine learning applications in speech recognition Dr. DENBY's research trajectory shows evolution from early work in high energy physics to speech processing and wireless communications, with recent publications (2022-2025) demonstrating continued innovation in WiFi analytics, client density mapping, and future speech interfaces. His work increasingly integrates deep learning techniques while maintaining focus on practical applications, particularly for speech restoration and privacy-preserving network analysis. Notable scientific achievements: Chester Sall Award Paper (2012) for work on FPGA-based FM broadcast receivers Significant contributions to the Silent Speech Challenge benchmark with deep learning approaches Development of the NORTRIP model for road dust emissions Highly cited work on Silent Speech Interfaces (over 500 citations) Dr. DENBY has secured research funding across multiple domains, collaborating with institutions across Europe. His work demonstrates strong interdisciplinary connections between speech technology, wireless communications, and environmental science, with applications ranging from assistive technologies to urban air quality management.

• Robotics
• Cyber-Physical Systems
• Control Theory
• +۳ مورد دیگر

Associate Professor at INSA Strasbourg, affiliated with ICube research laboratory (UMR 7357), specializing in frugal design and control of embedded cyber-physical and robotic systems with limited resources, with particular expertise in non-periodic sampling using event-driven techniques. His research spans critical domains including: Robotics (UAV control, swarm systems, aerial manipulators) Cyber-Physical Systems (resource-constrained implementations) Control Theory (nonlinear stabilization, event-driven feedback) Embedded Systems (system-on-chip, real-time optimization) Event-Driven Systems (acoustic localization, aperiodic sampling) Frugal Design (energy-efficiency, miniaturization) Current research projects feature: eSWARM: Modular UAV swarm control (ICube-funded, 2023-2025) muteSWARM: Acoustic-based swarm formation (ANR-funded with GIPSA-lab/ISM, 2023-2027) STRAD: Street art drone development (ANR-funded with Polyvionics/Spacejunk, 2022-2026) TIR4sTREEt: Urban thermal monitoring (ANR-funded with INRAE, 2022-2026) dark-NAV: GPS-denied navigation via photolocation (ANR-funded, 2021-2025) dextAIR robot: Omnidirectional aerial manipulator platform (ICube, 2019-present) His PhD students have secured prestigious awards: M. Pivert: Best Student Paper Award, IFAC Robotics Symposium (2025) T. Paul: i-PhD Innovation Contest for OptHySource (2022) A. Yiğit: Best PhD Award (GdR Robotique) and Best Video Award (2020-2021) A. Vega-Alonzo: Best Paper Award, IEEE EBCCSP (2019) B. Boisseau: Best Paper Award, IEEE EBCCSP (2015) He actively participates in major robotics forums including the French Congress of Mechanics (2025), International Micro Air Vehicles Conference (2025), and ROSCon France & Germany (2025).

• Signal Processing
• Probability
• Inverse Problems
• +۷ مورد دیگر

Christian Heinrich is a Professor at the University of Strasbourg, affiliated with the ICube - IMAGeS team (Images, Modeling, Learning, Geometry and Statistics). His research focuses on signal processing, inverse problems, machine learning, and optical imaging, particularly polarimetric imaging and biological tissue analysis. He collaborates closely with Jihad Zallat (ICube-TRIO) and has contributed to the development of methodologies for medical imaging and computational neuroscience. Education: Electrical Engineering (Supélec, 1990), Master's in Signal Processing (Université Paris-Sud/Supélec, 1994), PhD in Signal Processing (Université Paris-Sud/Supélec, 1997), Aggregation in Applied Physics (1998), Habilitation (University of Strasbourg, 2008) His research spans polarimetric imaging techniques for tumor monitoring, brain connectivity analysis through multimodal MRI and fMRI, and advanced image processing methods like non-local means filtering and spatial mixture models. Recent work explores cryo-EM reconstruction, topological preservation in surgical planning, and uncertainty quantification in medical imaging. Christian Heinrich co-leads the IRIV master’s degree (Imaging, Robotics, and Engineering for the Living) and the Franco-German DaSAI double degree program in Data Science and Artificial Intelligence. He has published extensively in journals like Biomedical Optics Express , IEEE Transactions on Biomedical Engineering , and Medical Image Analysis .

• Speech Processing
• Artificial Neural Networks
• Binaural Sound Localization
• +۷ مورد دیگر

Dr. Jean-Luc Zarader is a Professor at Sorbonne University's Faculty of Engineering , serving as Deputy Director of the UFR of Engineering. Based at ISIR (Institute of Intelligent Systems and Robotics) in Paris, his research focuses on speech processing , neural networks , and binaural sound localization with applications in humanoid robotics and aircraft diagnostics. Key research areas: Speech coding, Nonlinear signal processing, Humanoid auditory systems, Fault diagnosis Active collaborations with teams: ACIDE, MLIA, IRIS Research Trends (2017-1996): 2017-2012: Whale bioacoustics, Aircraft diagnostics, Binaural localization 2007-2000: Speaker verification, Predictive coding, Neural network applications 1999-1996: Doppler lidar analysis, Speech compression His scientific contributions span multiple disciplines, including: Neural network optimization for signal processing Acoustic feature extraction Humanoid robot perception systems Aerospace fault detection Bioacoustic pattern recognition

• Robotics Perception
• Computer Vision
• Lidar and Radar Sensing
• +۵ مورد دیگر

Pascal Vasseur is a University Professor at the University of Picardie Jules Verne (UPJV) in the Faculty of Sciences, Computer Science Department. He leads the Robotics Perception group within the MIS Laboratory (Modeling, Information and Systems) and serves as a member of the National University Council (Section 61) since 2016. Additionally, he has been an Associate Editor for IEEE Robotics and Automation Letters since 2016, demonstrating his significant standing in the robotics research community. Professor Vasseur's research focuses on robotics perception systems, with particular expertise in vision (including omnidirectional and event-based cameras), Lidar, and Radar technologies. His work addresses fundamental challenges in pose estimation, mapping, and localization for robotics and automotive applications. His recent publications show a strong emphasis on advanced sensor technologies, multi-sensor calibration techniques, and practical implementations for autonomous systems. His publication record demonstrates consistent high-impact research output, with numerous articles in top robotics and computer vision venues including IEEE Robotics and Automation Letters, IEEE Transactions on Intelligent Vehicles, and CVPR. He has also authored two comprehensive books on Omnidirectional Vision (2023-2024), establishing himself as a leading expert in this specialized area of computer vision. Professor Vasseur has coordinated multiple significant research projects including ANR projects CaViAR and pLaTINUM, the international DrAACaR project, and PHC STAR and AMADEUS projects. He currently serves as scientific officer for the ANR CLARA Project, continuing his leadership in advancing robotics perception research. His research group actively contributes to solving practical challenges in automotive vision systems, drone navigation, and forest environment mapping, with applications spanning autonomous vehicles, robotics navigation, and environmental monitoring systems. The group's work bridges theoretical advances in computer vision with real-world robotics implementations.

Myriam Servièresمشاهده پروفایل

استاد

• Computer Science
• Geolocation
• Augmented Reality
• +۶ مورد دیگر

Myriam Servières is a Professor of Computer Science at Centrale Nantes, where she has taught since 2006. She currently serves as Director of AAU-CRENAU and Deputy Director of the AAU Laboratory. Her academic journey includes a PhD in Applied Computer Science from the University of Nantes (2002-2005) and an engineering diploma from École Centrale de Nantes (1999-2002). Her research explores the intersection of digital technology and urban environments, with key interests in: Geolocation : Developing advanced positioning systems for urban navigation Augmented/Virtual Reality : Creating multisensory urban simulations 3D Modeling : Reconstructing and analyzing urban spaces Citizen Sensing : Engaging communities in environmental monitoring Her recent publications demonstrate strong focus on VR-based urban perception analysis, pedestrian navigation systems, and geospatial data processing. Work frequently appears in premier journals like ISPRS and IEEE Transactions . She leads significant initiatives including the IRSTV 'Urban Tomography' research axis and the '3D geospatial data' prospective action. Her teaching spans core computer science courses and specialized programs in digital cities. At AAU-CRENAU, she directs research on computational urban analysis, collaborating across disciplines to develop new methods for understanding and designing urban spaces through digital mediation.

• Raw earth construction
• Hygrothermal properties of building materials
• Sustainable construction
• +۵ مورد دیگر

Philippe Poullain is a Lecturer and Educational Manager at the Department of Civil Engineering and Sustainable Construction, IUT of Saint Nazaire, University of Nantes. His work spans teaching and research in sustainable construction methods, with particular expertise in raw earth construction and large-scale additive manufacturing for building construction. He is affiliated with the GeM - IEG research team and actively collaborates with industry partners through the Robotics and Construction Site working group. Professor Poullain's research interests focus on characterizing raw earth construction methods to determine their mechanical and hygrothermal properties, with special attention to material variability. His work extends from material scale to wall scale using biclimatic chamber testing. He also investigates large-scale additive manufacturing, particularly 3D printing for construction using bio-sourced materials. His research on the raw earth heritage of the Guérande peninsula examines why earth construction was historically limited to the eastern part of the region. His recent publication record shows consistent output in high-impact construction journals, with 2024 publications addressing sustainable construction through tradition, hygrothermal performance assessment, and sensitivity analysis of material properties. His work spans fundamental material characterization to applied construction technologies, reflecting both academic rigor and practical application. Professor Poullain supervises numerous PhD students working on topics including raw earth composites, 3D printing materials, and building performance simulation. His collaborative approach is evident in his work with the LS2N researchers that led to startup creation, and his participation in industry-academic working groups focused on construction automation. His research has practical applications demonstrated through the Yhnova demonstrator project, a flagship initiative of the University of Nantes.

• Automatic Control
• Systems Engineering
• Neural Networks
• +۴ مورد دیگر

Laurent Signac is an Associate Professor in Automatic Control and Systems at ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers), part of the University of Poitiers. He maintains dual affiliations with the LIAS laboratory at both ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil, contributing to the Automatic Control, Data Engineering, and Real Time research teams. His research spans automatic control, neural networks, and artificial intelligence with applications in industrial fault detection, robotics, and algorithmic problem-solving. Key contributions include neural network-based stator fault diagnosis in induction motors, fractional-order system identification, and explorations of algorithmic survival mechanisms. His work bridges theoretical control systems with practical engineering solutions across electrical engineering and computer science domains. Analysis of his publication timeline reveals consistent innovation in neural system identification (2001-2009), evolving toward interdisciplinary applications in cryptography (2013), light diffusion modeling (2014), and computational thinking education (2017). His research demonstrates sustained integration of control theory with neural computation across industrial, biological, and educational contexts. As a core member of LIAS laboratory's Automatic Control team, he participates in France's national research ecosystem focused on signal processing and real-time systems. The laboratory's dual-campus structure facilitates collaboration between ENSIP's engineering programs and ISAE-ENSMA's aerospace expertise, positioning his work at the intersection of academic research and industrial application.