جست‌وجوی استاد و پژوهشگر

Alain Oustaloupمشاهده پروفایل

استاد

• Fractional Calculus
• System Identification
• Control Theory
• +۴ مورد دیگر

Alain Oustaloup is a Professor in the AUTOMATIC CONTROL research group at Université de Bordeaux , leading the CRONE team. His work focuses on fractional calculus , system identification , and control theory , with applications spanning thermal systems , epidemiology , and automotive engineering . Expertise : Fractional Order Modeling, CRONE Control, Thermal Diffusion Analysis Key Collaborations : Université de Lorraine, CNRS, STMicroelectronics His research includes fractional differentiation models for continuous-time system identification, non-integer power models for viral spread (e.g., COVID-19 ), and infinite state approaches for complex system representation. Recent publications emphasize thermal modeling and fractional prefilters for MIMO systems. Applications of his work extend to automotive suspensions (CRONE method), battery diagnostics , and medical device modeling . Collaborations with institutions like CRAN (Nancy) and IMS-Bordeaux highlight his interdisciplinary impact.

Catuscia Palamidessiمشاهده پروفایل

استاد پژوهشی

• Privacy
• Data Security
• Information Flow
• +۵ مورد دیگر

Catuscia Palamidessi is a Research Professor and head of the Comete project team (Concurrence, Mobilité et Transactions) at the Inria Saclay - Île-de-France research center. Her work focuses on privacy, security, and information flow on social networks, with particular emphasis on protecting sensitive data while preserving utility. Her primary research interests include differential privacy, location data protection, and the use of machine learning techniques for privacy preservation. She has pioneered work on Local Differential Privacy (LDP) and its integration with generative adversarial networks to balance privacy protection with data utility. Her research addresses the critical challenge of securing personal data without destroying its usefulness for services and statistical analysis. Her most notable achievement is receiving the ERC Advanced Grant in 2018 for her HYPATIA project (Privacy and Utility Allied), which seeks to optimize the security and utility of personal digital data. This €2.2 million grant has enabled her to expand her research team and develop practical privacy solutions. ERC Advanced Grant 2018 for HYPATIA project As leader of the Comete team, she oversees research that has led to practical applications like Location Guard, a browser extension that adds controlled noise to location data to protect user privacy while maintaining service functionality. Her work has established important partnerships with industry leaders like Renault and numerous academic collaborations worldwide.

• Human-robot physical interaction
• Elderly people
• Smart-walker
• +۳ مورد دیگر

Ludovic Saint-Bauzel is a lecturer at Sorbonne University and head of the IRIS team at the Institute of Intelligent Systems and Robotics (ISIR). His work focuses on improving physical human-robot interaction for individuals with autonomy loss through disability or aging. Specializes in computational models of disabilities Develops user intent detection through sensor fusion Active in IFRH and Fedrha federations IEEE and True Life Lab member Research interests His research centers on Human-robot physical interaction with applications in Elderly care , Smart-walker development, and Walking exoskeleton systems. Key methodologies include: Sensor fusion (depth cameras, force sensors, IMUs) Adaptive robot control systems Pathological movement modeling Motor intent prediction algorithms Article trends show consistent focus on haptic communication (6/15), assistive robotics (9/15), and sensorimotor interaction (11/15) across 2013-2022 publications. Laboratory involvement : Leads the IRIS team at ISIR, part of Fedrha (Federation for Research on Disability and Autonomy) with 50+ research teams.

Hanan Sametمشاهده پروفایل

استاد

• Spatial Data Structures
• Geographic Information Systems (GIS)
• Computer Vision
• +۳ مورد دیگر

Hanan Samet is a Distinguished University Professor in the Computer Science Department at the University of Maryland, College Park. He holds affiliations with the Center for Automation Research and the Institute for Advanced Computer Studies (UMIACS). His academic journey includes a PhD from Stanford University (1975) in Computer Science, following degrees in Engineering (UCLA) and Operations Research/Computer Science (Stanford). Affiliations: University of Maryland, College Park (since 1975) Roles: Professor, Founding Editor-in-Chief of ACM Transactions on Spatial Algorithms and Systems, Founder of ACM SIGSPATIAL Samet's research focuses on spatial data structures, spatial databases, GIS, computer vision, and information retrieval. His seminal work includes the Foundations of Multidimensional and Metric Data Structures , an award-winning book addressing spatial indexing and query optimization. He pioneered frameworks like NewsStand for map-based news exploration and Coronaviz for pandemic visualization. Key contributions span spatial synonyms for approximate search, SAND spatial browser for digital government, and trajectory analysis systems for aviation safety and urban mobility. His work bridges theory and practice, influencing databases, graphics, and geographic systems. Education: B.S. Engineering, UCLA M.S. Operations Research, Stanford M.S./Ph.D. Computer Science, Stanford Samet has advised numerous students and led NSF-funded projects on spatio-textual data, similarity search, and spreadsheet analysis. His honors include the ACM Paris Kanellakis Award (2011), IEEE Wallace McDowell Award (2014), and UCGIS Research Award (2009). His labs and teams focus on spatial algorithms, visualization, and GIS applications. Notable projects include VASCO (spatial index demo), MARCO (image databases), and CHOLERA (disease tracking).

Adlen KSENTINIمشاهده پروفایل

استاد

• Mobile and Wireless Networks
• Software Defined Networking (SDN)
• Mobile Edge Computing (MEC)
• +۷ مورد دیگر

Adlen KSENTINI is a Professor at EURECOM's Communication Systems department, specializing in advanced networking technologies. His research focuses on Mobile and Wireless Networks, Software Defined Networking (SDN), Mobile Edge Computing (MEC), Network Function Virtualization (NFV), and Content Delivery Networks (CDN), with an emphasis on performance evaluation and network virtualization. He has contributed to projects like AC3 and 6G-BRICKS, exploring cloud-edge continuum integration and 6G infrastructure. Key research interests include virtualized mobile core networks, carrier cloud systems, and AI-driven network management. He has received Best Paper Awards at IEEE WCNC 2018 and IWCMC 2016 for works on network slicing and LTE modeling accuracy. His work often integrates machine learning for optimization, sustainability, and security in 5G/6G networks. Distinctions: Two Best Paper Awards Labs/Teams: Involved in EU-funded projects like AC3 and 6G-BRICKS Grants: Not explicitly listed, but active in collaborative research initiatives

Florian Kaltenbergerمشاهده پروفایل

استاد

• Wireless Communications
• 5G and 6G Networks
• Massive MIMO
• +۱۰ مورد دیگر

Florian Kaltenberger is a Professor in the Communication Systems department at EURECOM, a leading research institute in digital technology based in France. He actively contributes to research and teaching in wireless communications, with a focus on 5G/6G technologies, massive MIMO, and OpenAirInterface-based prototyping. Research Affiliation: EURECOM - Communication Systems Key Projects: SOLDER FP7, Newcom++, COST 2100 Professional Memberships: IEEE, reviewer for major journals and conferences His research centers on signal processing for wireless communications, MIMO systems, channel modeling, and hardware implementation. He specializes in exploiting channel reciprocity in TDD systems and developing practical testbeds for next-generation networks. Recent publications highlight a strong trend toward AI-integrated RAN, open-source 5G/6G testbeds (e.g., OpenAirInterface, X5G), UAV-aided localization, and real-time control using decentralized applications. His work bridges theoretical innovation with field deployment in programmable living labs. Award Highlights: Neal Shepherd Best Propagation Award (2013) He leads research grants under EU frameworks like FP7 and collaborates internationally on open RAN and 6G innovation. Though no formal student list is provided, his role as project lead and frequent co-authorship suggests active mentorship. He also manages EURECOM’s contributions to large-scale collaborative projects. Kaltenberger is deeply involved in lab development, particularly around OpenAirInterface, where he leads efforts in creating end-to-end, multi-vendor, private 5G O-RAN testbeds with real-time AI control and green networking capabilities.

Jennifer Burgainمشاهده پروفایل

مدرس

• Food Science
• Physical Chemistry
• Food Process Engineering
• +۴ مورد دیگر

Jennifer Burgain is a Lecturer at the University of Lorraine, France, specializing in physical chemistry and food process engineering. Her research focuses on food powder characterization, microencapsulation of probiotics, and the impact of processing/storage on technofunctional properties. Research Interests: Multi-scale analysis of food powders (agro-resources/co-products) Atomic Force Microscopy (AFM) for nanoscale particle characterization Glass transition effects on powder stability Microencapsulation of probiotics using dairy matrices Optimization of dairy powder processing parameters Scientific Awards: FIL France grant (2011) for probiotic encapsulation research Publications & Projects: Author of ~50 peer-reviewed articles, 6 book chapters, and 2 patents. Principal investigator for the ANR-funded ExPowSE project (2022-2026) analyzing plant-origin food powders. Teaching: Heads the Master 2 MILQ program on dairy industries and quality. Supervises practical process engineering work and teaches physicochemistry/biochemistry of milk proteins.

Jakob PUCHINGERمشاهده پروفایل

استاد

• Logistics
• Urban Mobility
• Disruptive Technologies
• +۳ مورد دیگر

Jakob Puchinger is a Professor in Supply Chain Management and Logistics at EM Normandie since 2022. He also serves as an affiliate professor at the Laboratoire Génie Industriel at CentraleSupélec, Université Paris-Saclay, and co-director of the Future Cities Lab with Centrale Pékin. He holds a PhD in Computer Science from TU Wien (2006), focusing on metaheuristics and integer programming for cutting and packing problems. His research spans logistics, urban mobility, disruptive technologies, and transport system optimization. Professional roles include Head of the Operations Management team at CentraleSupélec (2019–present), holder of the Anthropolis Chair at IRT SystemX (2015–2022), and scientist at the Austrian Institute of Technology (2008–2014). He has authored over 80 publications and supervised six theses, with five ongoing. Research interests emphasize sustainable urban logistics, last-mile delivery optimization, and shared mobility systems. Key contributions include studies on electric vehicles, autonomous systems, and policy frameworks for decarbonization. His work integrates optimization algorithms, agent-based modeling, and real-world case studies to address complex mobility challenges. Recent publications focus on route optimization for cold chain logistics, decarbonization policies, and collaborative truck-robot delivery systems. He actively contributes to conferences like Transportation Research Board and ROADEF, and co-authored books on urban mobility futures and robomobility revolution.

José PICHERALمشاهده پروفایل

استاد

• Signal Processing
• Acoustic Imaging
• Array Processing
• +۵ مورد دیگر

José Picheral is a Professor at CentraleSupélec, affiliated with the Laboratory of Signals and Systems (L2S). He holds a PhD (2003) and HDR (2017) in high-resolution signal processing methods and inverse problems. His research focuses on array processing, source localization, acoustic imaging, and vibration analysis, with applications in aeroacoustics, automotive systems, and industrial monitoring. He has supervised multiple PhD students and contributed to projects like Valeo’s smartphone-based car key replacement system. Education: Engineering Degree: Supélec (1999) and Politecnico di Milano (1999, Erasmus-TIME) PhD: Paris Sud University (2003) Habilitation (HDR): Université Paris Sud (2017) Research Interests: High-resolution methods for distributed sources, sparse signal processing, acoustic imaging, asynchronous measurements, and sensor array design. Current projects include spatial source covariance estimation, EEG spectrum analysis, and automotive applications using smartphone localization. Key Contributions: Over 50 publications in top journals/conferences (e.g., IEEE Transactions, ICASSP). Notable work on MUSIC algorithm robustness, DAMAS optimization, and sparse approaches for tip-timing signals. Advising & Collaboration: Supervised 7 PhD students. Collaborations with SAFRAN, Valeo, and academic teams in Bayesian inference and inverse problems. Active in L2S’s Inverse Problems Group and SYCOMORE team. Labs/Teams: Member of L2S’s Signal Processing and Statistics group, leading research in systems and control, telecommunications, and energy systems.

• Antifungal Resistance
• Medical Mycology
• Aspergillus fumigatus
• +۳ مورد دیگر

R.-A. Lavergne serves as an Assistant Professor and Hospital Practitioner at the University of Nantes, specializing in medical mycology with a focus on antifungal resistance mechanisms and environmental drivers of resistance. Their work bridges clinical practice and environmental microbiology through the One Health framework, investigating azole resistance in Aspergillus species and diagnostic innovations for fungal pathogens. Educational background includes a PhD on Aspergillus fumigatus resistance mechanisms defended at the University of Nantes in July 2018. Advanced training encompasses molecular diagnostics, antifungal susceptibility testing, and environmental sampling methodologies. Research centers on azole resistance evolution in Aspergillus , particularly TR-mutation pathways (TR34/L98H, TR46/Y121F/T289A), and agricultural fungicide impacts on clinical resistance. Key projects examine sterol biosynthesis alterations under drug pressure, environmental reservoirs in crop fields, and novel antifungal compounds like CIN-102. Diagnostic work includes Mucorales DNA detection in serum and MALDI-TOF optimization for cryptic Candida species. Recent publications reveal three dominant research axes: (1) Environmental origins of resistance (Colombian crop studies); (2) Molecular mechanisms of TR-mutation-mediated resistance; (3) Diagnostic innovations for mucormycosis and rare fungal pathogens. This integrated approach spans genomic, biochemical, and epidemiological methodologies. Active involvement in national research initiatives includes ANR TEILEISH, ANR AspergillusOne-Health, ANR Chair INSERM COMBINE, ANR OTARI, ANR AspergIs, ANR FungiSol, and ANR INTERLUDE. Collaborative networks span French cystic fibrosis centers, transplant units, and international agricultural health projects. As part of the Department of Medical Mycology and Parasitology, Dr. Lavergne contributes to clinical diagnostics for immunocompromised patients while leading environmental resistance surveillance. The research group maintains active collaborations with Prof. Le Pape's team on resistance mechanisms and Prof. Morio's diagnostics unit.

Gaël Richardمشاهده پروفایل

استاد

• Machine Learning
• Audio Signal Processing
• Artificial Intelligence
• +۳ مورد دیگر

Gaël Richard is a Professor at Télécom Paris specializing in machine learning and audio signal processing. He leads the Hi! Paris center, focusing on AI and data science applications. His research emphasizes hybrid interpretable AI for sound analysis, including projects like Hi-Audio funded by a €2.5M ERC Advanced Grant (2022). Key areas include machine listening, music source separation, and speech processing. Applications span autonomous vehicle acoustics and music technology. Notable contributions include neural audio compression (QINCODEC), diffusion models for music synthesis (Diff-TONE), and source separation techniques (Inverse Drum Machine). Research & Awards Recipient of the 2022 ERC Advanced Grant for the Hi-Audio project exploring hybrid AI models that integrate domain knowledge with neural networks. This approach reduces data requirements and enhances model interpretability. Active in audio-visual scene analysis and weakly-supervised learning systems. Affiliations & Labs Executive Director of Hi! Paris, a multidisciplinary lab advancing AI and data science for societal impact. Collaborates on projects like the HI-AUDIO online platform for distributed music data collection and the MAD-EEG EEG dataset for auditory attention decoding.

Stephen Chongمشاهده پروفایل

استاد

• Programming Languages
• Information Security
• Language-based Security
• +۳ مورد دیگر

Stephen Chong is a Gordon McKay Professor in the Harvard John A. Paulson School of Engineering and Applied Sciences , where he co-directs the Undergraduate Studies in Computer Science program. His research intersects programming languages and information security , focusing on language-based security frameworks. Education : PhD in Computer Science from Cornell University (2008), B.Sc.(Hons) and B.A. from Victoria University of Wellington (New Zealand). Research : Develops tools like Formulog (Datalog + SMT for static analysis) and Accrue (Java interprocedural analysis), emphasizing security guarantees proportional to programmer effort. Grants : Funded by NSF , DARPA , AFOSR , and Google Faculty Research Award . Recent publications focus on neurosymbolic approaches (e.g., Guess & Sketch ), Datalog synthesis (e.g., Making Formulog Fast ), and quantitative robustness in cyber-physical systems. His group has pioneered formal methods for secure assembly transpilation and sensor attack modeling. Awards : NSF CAREER Award AFOSR Young Investigator Award Sloan Research Fellowship Advising : Supervised numerous PhD and senior thesis students, including Aaron Bembenek , Anitha Gollamudi , and Lucas Waye . Mentored projects like AbcDatalog (multi-threaded Datalog engine) and Shill (secure shell scripting). Labs/Teams : Leads the Programming Languages at Harvard group, collaborating with institutions globally. Organized workshops (e.g., NSF Workshop on Formal Methods for Security ) and chaired committees at conferences like CSF , POPL , and PLDI .

Nate Fosterمشاهده پروفایل

استاد

• Programming Languages
• Networking
• Formal Verification
• +۳ مورد دیگر

Nate Foster is a Professor of Computer Science at Cornell University and a Visiting Researcher at Jane Street . During the 2023-24 academic year, he served as a Visiting Professor at EPFL in the Data Center Systems Laboratory. His research bridges Programming Languages and Networking , focusing on formal verification, data plane programming, and language design for networked systems. His recent work includes developing symbolic automata for network verification (e.g., Active Learning of Symbolic NetKAT Automata , StacKAT ), creating efficient verifiers like KATch , and advancing type safety in data plane programming (e.g., SafeP4 ). These efforts span formal methods, algorithm optimization, and practical networked systems. Notable scientific awards include: NSF CAREER Award Sloan Research Fellowship ACM SIGCOMM Rising Star Award ACM SIGPLAN Robin Milner Award He actively contributes to PLDI, POPL, OOPSLA, and ICFP, serving as author, editor, and committee member. His GitHub repositories include tools for academic website templates and programming language research codebases.

Jean Auriolمشاهده پروفایل

پژوهشگر

• PDEs
• Control Theory
• Robustness
• +۲ مورد دیگر

Jean Auriol is a researcher affiliated with the Signals and Systems Laboratory , focusing on advanced control theory and partial differential equations (PDEs). His work spans robustness, hyperbolic systems, and infinite-dimensional systems, often addressing real-world applications in engineering and physics. Research Interests: PDEs and Control Theory Robustness in Dynamical Systems Hyperbolic Systems and Networked Control Stochastic and Delayed Systems Recent Publications: Stability analysis of triangular hyperbolic systems Smart traffic management for autonomous vehicles Stochastic hyperbolic PDE stabilization Minimum time control of coupled PDEs Neural network-based parameter estimation for drilling systems

Yves ANDRESمشاهده پروفایل

پژوهشگر

• Environmental Engineering
• Sustainability
• Renewable Energy
• +۳ مورد دیگر

Yves ANDRES is the Head of the Department of Energy and Environmental Systems (DSEE) at IMT Atlantique's Nantes campus. His work focuses on sustainable environmental engineering solutions, particularly in air quality management, bio-based materials, and renewable energy systems. He leads interdisciplinary research addressing indoor environmental quality, waste valorization, and eco-efficient technologies. Research Interests: Dr. ANDRES specializes in optimizing bio-based insulation materials, indoor air purification systems, anaerobic digestion of organic waste, and eco-friendly wastewater treatment. His team develops innovative methods for converting agricultural byproducts into energy (e.g., bioethanol, biohydrogen) and advanced filtration technologies to mitigate airborne contaminants. Recent projects explore mold resistance in building materials and the environmental impact of material aging processes. Key Contributions: His work bridges fundamental research and industrial applications, with a focus on sustainable transitions. Notable areas include: Development of multifunctional air filters using graphene-enhanced ceramics Optimization of floating treatment wetlands for nitrogen removal Standardization of VOC/SVOC emission testing protocols Dr. ANDRES actively collaborates with industry partners to implement small-scale anaerobic digestion systems and promotes circular economy principles in building material design. His research emphasizes both technical innovation and policy-oriented sustainability assessments.