جستجوی استاد راهنمای دانشگاهی

Maurice THEVENET is a Professor of Management at ESSEC Business School, where he has been a faculty member since 1984. He is based at the Cergy campus and maintains an active role in both academic and professional spheres. His current affiliations include his professorship at ESSEC, upcoming role as Academic Director of ESP Leadership for Executives (2025-2026), and previous position as Track Head (2021-2025). Beyond academia, he serves as a consultant for major corporations including General Motors Europe, Honeywell, Volvo, and Carnaud-Metalbox, and provides expertise to the French Ministry of Defense on organizational culture matters. Professor THEVENET's research interests center on Organizational Behavior, Human Resource Management, Leadership Development, and Organizational Culture. His work critically examines management practices, workplace ethics, talent management, and the philosophical dimensions of management. He has published extensively on the emotional aspects of leadership, the impact of management fads, workplace incivility, and the evolving nature of work. His recent publications (2016-2018) demonstrate continued scholarly engagement with contemporary management challenges, particularly focusing on talent development, organizational transformations, and the emotional demands of management. With a career spanning decades, Professor THEVENET has established himself as a thought leader in management studies. His publications reveal a consistent focus on the human dimension of organizations, questioning conventional management wisdom while exploring practical applications of management theory. His work bridges academic rigor with practical relevance, as evidenced by his dual roles as academic and consultant. Professor THEVENET serves as a regular columnist for RHinfo.com, contributing one article per month since November 2000, demonstrating his commitment to engaging with current management issues and sharing insights with practitioners. His editorial board memberships across numerous prestigious management journals further attest to his standing in the academic community. His teaching and research reflect a deep commitment to understanding the complex interplay between individuals and organizations, with particular attention to ethical considerations and the emotional dimensions of workplace relationships. This holistic perspective on management has informed both his academic contributions and his consulting practice with major organizations worldwide.

• Organizational Behavior
• Human Resource Management
• Leadership Development
• +۵ مورد دیگر

Arnaud Boutin is an Associate Professor in the Faculty of Sports Sciences at the University of Paris-Saclay, where he conducts research at the intersection of behavioral neuroscience, motor learning, and sleep science. His academic journey includes postdoctoral positions at the Montreal Neurological Institute McConnell Brain Imaging Centre and the Research Center at the Geriatric Institute of the University of Montreal. Dr. Boutin's educational background and professional development include: Habilitation à Diriger des Recherches (HDR) qualification Postdoctoral training in brain imaging and functional neuroimaging Specialized training in motor control and neuroscience methodologies His research primarily focuses on understanding how sleep contributes to motor memory consolidation and how sensorimotor experiences shape neural plasticity. Dr. Boutin employs advanced neuroimaging techniques including MRI, EEG, and EMG to investigate the neural mechanisms underlying motor learning, action observation, and motor imagery. His work has significant implications for athletic performance, rehabilitation, and understanding fundamental brain processes. Recent projects have examined sleep patterns in professional athletes, particularly rugby players, and developed interventions to optimize sleep for enhanced performance and recovery. A key finding across his recent publications is that the temporal organization of sleep spindles plays a critical role in motor memory consolidation, with implications for how training schedules can be optimized. Dr. Boutin's scientific contributions have been recognized through multiple prestigious scholarships, including three awards from the Quebec Bio-Imaging Network (QBIN) and the German Academic Exchange Service (DAAD). His work has garnered significant attention in the scientific community with over 890 citations across his 54 publications. As an academic mentor, Dr. Boutin has supervised numerous graduate students and collaborated extensively with researchers across international institutions. His laboratory work focuses on the neural correlates of motor learning and the role of sleep in memory processes, with particular emphasis on how these mechanisms can be optimized in athletic contexts. Current research directions include developing evidence-based sleep interventions for athletes and investigating how conscious awareness during motor learning affects long-term performance outcomes.

• Behavioral Neuroscience
• Motor Learning and Control
• Sleep and Memory Consolidation
• +۳ مورد دیگر

José Rouillard is a Lecturer-Researcher in Computer Science (section 27) at Université de Lille, affiliated with the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille) where he works in the Brain-Computer Interface (BCI) research team. His academic position combines teaching responsibilities with active research in human-computer interaction, particularly focusing on novel interface technologies and assistive applications. Dr. Rouillard's primary research interests center around Brain-Computer Interfaces with particular expertise in Steady-State Somatosensory-Evoked Potentials (SSSEP). His work explores multimodal interaction techniques, virtual reality integration with BCI systems, and applications for individuals with motor disabilities such as Duchenne muscular dystrophy. Recent publications (2023-2024) demonstrate continued innovation in BCI technology, including Wizard of Oz studies on user perception, advanced SSSEP recording techniques with cEEGrid systems, and multimodal cobot interaction frameworks using MQTT protocol. His research bridges theoretical neuroscience with practical applications for assistive technologies. As an educator, Dr. Rouillard has created one of the most comprehensive App Inventor 2 teaching resources available, with 76 detailed projects covering the full spectrum of mobile application development. His course materials progress from basic applications to advanced implementations involving Bluetooth communication with Arduino, Firebase database usage, and AI APIs including OpenAI's ChatGPT and DALL-E. His teaching spans multiple academic years, with documented student projects from 2013 through 2023 across various Master's programs including MMD IAE, MIAGE, and e-Services. Supervised PhD thesis: "Hybrid brain-machine interface to overcome disability caused by Duchenne muscular dystrophy" (Alban Dupres, 2016) Supervised PhD thesis: "Filtrage somesthésique pour des interfaces cerveau-ordinateur utilisant des stimulations vibro-tactiles" (Jimmy Petit, 2022) Dr. Rouillard maintains a strong educational presence through his extensive online resources, including YouTube video tutorials, NextCloud file sharing for course materials, and detailed project guides. His student projects demonstrate practical applications of mobile development across diverse domains including health monitoring, gaming, social networking, and educational tools. The breadth of his educational impact is evident in the hundreds of student applications documented from 2013-2023, showcasing his commitment to practical, hands-on learning in computer science education.

• Brain-Computer Interfaces
• Multimodal Interaction
• Mobile Application Development
• +۵ مورد دیگر

Laurent Rambault is an Associate Professor with HDR (Habilitation à Diriger des Recherches) in Automatic Control and Systems at the University of Poitiers, France. He is affiliated with the Laboratory of Sensor Application Engineering (LIAS) at both ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers) and ISAE-ENSMA. His research focuses on advanced control systems, fault detection, and signal processing applications in electrical machinery and industrial processes. Dr. Rambault's primary research interests include sensorless control and fault detection in electrical machines, particularly induction motors and permanent magnet synchronous machines. He has developed significant expertise in tacholess order tracking methods, digital twin development for predictive maintenance, and advanced signal processing techniques for condition monitoring. His work bridges theoretical control systems with practical industrial applications across wind energy systems, industrial vacuum processes, and fluid dynamics. His research methodology often combines traditional signal processing with emerging machine learning techniques to improve diagnostic capabilities. His recent publications (2020-2024) demonstrate a clear progression toward more sophisticated diagnostic methodologies, with increasing integration of Physics-Informed CNNs alongside traditional signal processing approaches. His work shows strong industrial relevance, particularly in predictive maintenance applications for manufacturing and renewable energy sectors. The consistent publication record across high-impact journals reflects his sustained contribution to the field of electrical machine diagnostics. Dr. Rambault maintains active research collaborations with colleagues including Sebastien Cauet, Erik Etien, and Anas Sakout, as evidenced by his extensive co-authorship patterns. His laboratory work at LIAS focuses on developing advanced control strategies and diagnostic tools with direct industrial applications. The research group maintains strong connections with industry partners to ensure practical implementation of theoretical advances in control systems.

• Automatic Control
• Electrical Engineering
• Motor Control Systems
• +۷ 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.

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

Professor Abdelhamid Rabhi is a Full Professor at Université de Picardie Jules Verne (UPJV) in France, where he leads research in the SYSCOM (Systems and Control) domain. His work focuses on the application of advanced control techniques to renewable energy systems, electric vehicles, and power electronics, with strong emphasis on experimental validation of theoretical approaches. Professor Rabhi's research spans multiple interconnected areas: Advanced control strategies including fuzzy logic, robust control (H-infinity), and predictive control Renewable energy integration and optimization (photovoltaic, wind) Electric vehicle power management and control, including battery/supercapacitor systems Microgrid operation, protection, and fault diagnosis Power electronics for energy conversion systems His recent publications (2024-2025) reveal a strong focus on practical implementation challenges, with particular attention to thermal effects, component aging, and real-world validation. Professor Rabhi's work consistently bridges theoretical control concepts with practical engineering solutions for sustainable energy challenges, as evidenced by frequent mentions of experimental verification in his publications. Notable achievements include: Exceptionally productive research output with 14+ papers in 2025 alone Active international collaborations, particularly with Tunisian and Mexican institutions Editorial contributions to major conference proceedings on electronic engineering and renewable energy Publications in high-impact journals including Energy, IEEE Access, and Scientific Reports Professor Rabhi maintains an active research program addressing critical challenges in sustainable energy systems. His lab provides students with opportunities to work on cutting-edge problems combining theoretical development with practical implementation, preparing them for careers at the forefront of energy system innovation.

• Control Systems
• Renewable Energy
• Electric Vehicles
• +۵ مورد دیگر

Leonardo Contreras Roa is an Associate Professor in English Phonology at the University of Picardy Jules Verne, where he is affiliated with the CORPUS research unit (UR UPJV 4295) and the LIDILE research group (Linguistics, Engineering, Language Teaching). His academic career spans multiple French institutions including University of Rennes 2, University of Lille, Sorbonne Nouvelle Paris 3, and research positions at IRIT and CNRS. Originally trained in translation in Chile, his academic journey evolved toward linguistics, phonetics, and language teaching, reflecting his interest in how ideas move between languages and what is gained or lost in the process. Dr. Contreras Roa's research interests center on the phonetics and phonology of second language acquisition, particularly examining interlanguage prosody of English learners with Spanish or French as their first language. His work spans acoustic phonetics, corpus linguistics, and the didactics of oral English. He investigates how rhythmic priming affects speech production in both typical speakers and those with Parkinson's disease, and explores the role of gesture in pronunciation learning. His research also extends to linguistic typology, reported speech strategies across diverse languages including West African and Turkic languages, and pathological discourse analysis. His publication record demonstrates consistent productivity with multiple articles per year across diverse venues. His work shows a clear trajectory from foundational research on interlanguage prosody toward increasingly sophisticated investigations of rhythmic priming, gesture-speech interface, and clinical applications. The research employs both corpus-based and experimental methodologies, with growing emphasis on multimodal approaches to speech production and perception. Dr. Contreras Roa teaches courses in oral English, phonetics, and English phonology at the undergraduate level, integrating his research expertise into his pedagogy. He has developed interactive scripts and tools for phonology instruction and explores innovative approaches to pronunciation teaching that incorporate rhythmic elements and gesture. His teaching philosophy appears informed by his research on affective factors in language learning, as evidenced by his work on promoting pleasure in language classrooms. His current research involves multiple collaborative projects examining speech production mechanisms, cross-linguistic influences in pronunciation, and applications of rhythmic priming in both typical and pathological speech contexts. He maintains active collaborations across multiple institutions and disciplines, reflecting the interdisciplinary nature of his work at the intersection of linguistics, cognitive science, and language pedagogy.

• Phonetics and phonology of English learners' interlanguage
• Didactics of oral English
• Acoustic phonetics and corpus linguistics
• +۷ مورد دیگر

Dr. Abdelhakim SAIM serves as a Senior Lecturer in the Department of Electrical Engineering at Polytech Nantes, University of Nantes, where he teaches Power electronics, analog electronics, electrical system control, and introduction to Smart Grids. His academic home is the Department of Electrical Engineering within Polytech Nantes at the Gavy Campus in Saint-Nazaire. Dr. Saim's research focuses on the control of electrical microgrids, power electronic converters, power quality and stability of microgrids, and maritime microgrids. His work bridges theoretical control strategies with practical implementation, addressing critical challenges in renewable energy integration and grid stability. He has developed advanced control methodologies including adaptive fuzzy control, fractional controllers, and virtual impedance techniques to enhance microgrid performance. Analysis of his publication trends from 2016-2026 reveals a consistent research trajectory with increasing emphasis on AI applications for microgrid design, maritime electrical systems, and optimal energy management in multi-energy systems. His work spans theoretical control algorithms to practical implementation in renewable energy systems, with particular attention to stability challenges in islanded operations. Dr. Saim maintains an active research program with numerous collaborations, particularly with Josep M. Guerrero, Azeddine Houari, and Mohamed Machmoum. His supervision likely focuses on graduate students working on microgrid control systems, power electronics, and renewable energy integration. While specific grant information isn't detailed, his continuous publication record suggests ongoing research funding. His research group appears to focus on practical implementation of advanced control strategies for electrical systems, with growing interest in maritime applications and AI-enhanced microgrid management. Students in his group would gain expertise in both theoretical control methods and hands-on implementation of power electronic systems for modern energy applications.

• Control of electrical microgrids
• Control of power electronic converters
• Power quality and stability of microgrids
• +۴ مورد دیگر