جست‌وجوی استاد و پژوهشگر

Vicente Thibaultمشاهده پروفایل

دانشیار

• Binaural Hearing
• Speech Intelligibility
• Hearing Impairment
• +۳ مورد دیگر

Vicente Thibault is an Associate Professor at Le Mans University affiliated with the Institute of Acoustics (LAUM) and the “Guides & Structures” team, specializing in Vibro-Acoustic of Structures research. His work bridges acoustics engineering and auditory neuroscience with practical applications in hearing assistance and virtual reality audio systems. Thibault’s research centers on binaural sound perception mechanisms, particularly speech comprehension in hearing-impaired populations. His doctoral investigations focused on binaural listening challenges for hearing-impaired individuals, while postdoctoral work pioneered personalized audio rendering for virtual reality headsets. Core research areas include spatial release from masking phenomena, head-related transfer function (HRTF) individualization, and computational modeling of speech intelligibility degradation under noise and reverberation. Analysis of his 2019-2024 publications reveals consistent advancement in binaural auditory modeling, with increasing emphasis on hearing impairment variables and virtual reality applications. Key trends include the development of predictive models for non-stationary noise environments, validation against envelope-modulated noises, and creation of standardized datasets like SONICOM HRTF. His work demonstrates strong interdisciplinary integration between psychoacoustics, signal processing, and assistive technology design. No scientific awards were documented in available sources. Information regarding student advising activities and research grant acquisitions was not provided in the source materials. Thibault operates within LAUM (Laboratory of Acoustics of the University of Maine), a CNRS-affiliated research unit featuring specialized facilities for acoustic/vibration measurement, opto-acoustic experimentation, and optical metrology. The institute’s structure encompasses materials acoustics, ultrasonics, transducer development, and transversal research axes including metamaterials and non-linear acoustics, providing comprehensive infrastructure for his vibro-acoustic investigations.

Gilles CHARDONمشاهده پروفایل

دانشیار

• Signal Processing
• Acoustics
• Electrical Engineering
• +۵ مورد دیگر

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.

Pedro Castilloمشاهده پروفایل

پژوهشگر

• Nonlinear Control
• Robust Control
• Reactive Control
• +۷ مورد دیگر

Pedro Castillo is a DR CNRS Researcher at the Heudiasyc laboratory within the University of Technology of Compiègne, France. He leads the SyRI team (Systèmes Robotiques en Interaction) and oversees drone-related activities at the laboratory. His research focuses on nonlinear control, robust navigation, multi-agent systems, and resilient control strategies for unmanned aerial vehicles (UAVs). He has contributed significantly to the theoretical and experimental validation of control schemes for under-actuated systems, emphasizing real-time implementation on robotic platforms. His work bridges theoretical advancements and practical applications, particularly in aerial robotics and cooperative control architectures. Dr. Castillo has supervised 19 PhD students (15 defended, 3 ongoing, and 1 cotutelle), managed 29 research projects, and organized over 50 seminars at Heudiasyc. He is an Associate Editor for the IEEE Robotics and Automation Letters (2020–2024) and has participated in numerous academic committees, including ANR and HCERES evaluations. His research has resulted in over 170 scientific publications, including two influential books on aerial vehicle modeling and control. Key contributions include the design of resilient control algorithms, multi-agent coordination frameworks, and hardware prototypes such as the PVTOL, octarotor, and ROMEO quadrotor. His work has been showcased at international conferences and trade fairs, solidifying Heudiasyc's reputation as a leader in UAV control research.

Xiaofei LIمشاهده پروفایل

استادیار

• Speech Processing
• Sound Source Localization
• Speech Enhancement
• +۹ مورد دیگر

Xiaofei LI is an Assistant Professor at Westlake University, Hangzhou, China, a position he has held since March 2020. Prior to this, he was a post-doctoral researcher and later a starting research scientist at INRIA Grenoble Rhône-Alpes, France, from February 2014 to at least 2019. He is affiliated with the PERCEPTION team and has contributed to major projects such as the ERC VHIA and EARS projects, as well as industry collaboration with Samsung Electronics. Education Bachelor of Electronic Information, Beijing Institute of Machinery, 2007 PhD in Electronics, Peking University, 2007–2013 His research focuses on speech and audio signal processing , particularly in challenging real-world environments. Key areas include multi-microphone speech processing for sound source localization, separation, and dereverberation; single-microphone signal processing for noise estimation, voice activity detection, and speech enhancement; and audio-visual fusion for speaker diarization and tracking. He employs advanced techniques such as LSTM networks , Bayesian inference , convolutive transfer functions , and deep learning in the STFT domain. His recent publications (2017–2019) demonstrate a strong trend toward multichannel speech enhancement , online speaker localization and tracking , and audio-visual integration . His work frequently appears in top-tier IEEE journals such as IEEE/ACM Transactions on Audio, Speech and Language Processing and IEEE Transactions on Pattern Analysis and Machine Intelligence. He has developed and evaluated algorithms using real datasets like LOCATA and AVDIAR, emphasizing robustness in reverberant and multi-speaker environments. Scientific Awards and Recognition No specific awards are mentioned in the provided text. Advising and Grants Currently serves as an Assistant Professor, implying student supervision and research advising, though no specific students are named. Research has been funded by prestigious grants including the European Research Council (ERC) Advanced Grant VHIA #340113 and the EU-FP7 STREP project EARS (#609465). Labs and Research Teams PERCEPTION team, INRIA Grenoble Rhône-Alpes, France Involved in the EARS, ERC VHIA, and Samsung Electronics Lito projects Contributor to the development of the AVDIAR and AVTrack-1 datasets

Raymond Knoppمشاهده پروفایل

استاد

• Wireless Communications
• 5G and 6G Networks
• Software-Defined Radio
• +۱۲ مورد دیگر

Raymond Knopp is a Professor and Head of the Communication Systems Department at EURECOM, a renowned research and higher education institution in Sophia Antipolis, France. He is a leading figure in wireless communication systems, with a focus on 5G/6G, OpenAirInterface (OAI), software-defined radio, and physical layer innovations. His work bridges theoretical foundations with practical implementations through open-source platforms and real-world testbeds. His research interests span a wide spectrum, including wireless communications, 5G and 6G networks, software-defined radio, MIMO systems, channel coding, signal processing, and ultra-reliable low-latency communications (uRLLC). He is particularly known for his contributions to OpenAirInterface, a pivotal open-source platform for wireless research and development. His recent work explores UAV-aided localization, time synchronization, reproducible experimentation, and the evolution of 6G technologies. Knopp's publication record is extensive and recent, with research trends showing a strong focus on open-source wireless innovation, testbed development, and performance evaluation in real-world scenarios. His work emphasizes reproducibility, open science, and the transition from theoretical concepts to deployable systems, particularly in the context of 5G NR and future 6G networks. Themes include positioning, uRLLC, hardware calibration, and CI/CD for wireless platforms. His scientific recognition includes a Best Student Paper Award at the European Wireless Conference 2011 for his work on interference-aware receivers in mixed CSIT channels, highlighting his contributions to interference management in wireless networks. Raymond Knopp advises students and leads a research team at EURECOM, contributing to both academic and industry-oriented projects. He teaches graduate courses in 'Digital Communication' and 'Signal Processing Theory and Technologies' and participates in continuing education for industry professionals. His work is supported by numerous grants and collaborations, particularly around the OpenAirInterface ecosystem and European research initiatives. His research is conducted within the Communication Systems Department at EURECOM, where he leads a team focused on next-generation wireless technologies. The lab is deeply involved in the OpenAirInterface community and contributes to major testbeds like SLICES-RI, enabling cutting-edge experimentation in beyond-5G networks.

• 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