جستجوی استاد راهنمای دانشگاهی

Bernard Bossu is a Professor of Private Law and Criminal Sciences at the Faculty of Legal, Political and Social Sciences, University of Lille. He serves as Director of the Social Law Research Team (EREDS) and Co-director of the Institute of Labor Sciences (IST), playing a central role in labor law research and academic leadership. Professor, Private Law and Criminal Sciences, University of Lille Director, Social Law Research Team (EREDS) Co-director, Institute of Labor Sciences (IST) Responsible for Master’s programs in Social Law and Labor Law His research focuses on labor law, particularly employment contracts, workplace surveillance, information and communication technologies (ICT), staff representation, and the legal dimensions of worker dignity and rights. He explores how technological advancements challenge traditional legal frameworks and how reforms, such as the Auroux Laws, have shaped contemporary labor relations. The recent publications and conferences highlight a strong trend toward digitalization in labor law, including monitoring, ICT integration, and data privacy, alongside enduring themes like anti-discrimination, aging workforce, and disabled workers’ inclusion. His scholarly output reflects a deep commitment to social justice, legal reform, and the protection of employee rights in evolving work environments. Bernard Bossu has supervised numerous doctoral students in labor law, covering topics such as workplace violence, private life at work, and ethical dimensions of employment. While no specific grants are mentioned, his leadership in organizing major colloquia and research programs indicates active involvement in funded academic initiatives. He is affiliated with key research units including EREDS, IST, and CRDP, contributing to a collaborative ecosystem focused on labor, social law, and legal reform. His work bridges academic scholarship with practical legal challenges in contemporary employment relations.

• Labor Law
• Private Law
• Criminal Sciences
• +۸ مورد دیگر

Simon DAWES is a Lecturer at the University of Versailles Saint-Quentin-en-Yvelines (UVSQ), affiliated with the Institute of Cultural and International Studies (IECI) and the Department of Languages. He is associated with the Center for the Cultural History of Contemporary Societies (CHCSC) and teaches courses in British Civilization and Cultural and Creative Industries. His research spans media theories, neoliberalism, public sphere dynamics, and critical analyses of race and intersectionality. Lecturer in British Civilization and Cultural/ Creative Industries UVSQ (University of Versailles Saint-Quentin-en-Yvelines), France CHCSC (Cultural History of Contemporary Societies Lab) Teaches courses on UK Civilization, British Film, TV Comedy, Media Regulation, and Intercultural Communication His research focuses on media studies, neoliberalism's impact on public spheres, press freedom, and intersections of race, racism, and Islamophobia. Recent publications examine Stuart Hall’s neoliberal conjunctures, media freedoms, and historical shifts in broadcasting regulation. He contributes to international peer-reviewed journals like Javnost - The Public and Theory, Culture & Society . Contact: simon.dawes@uvsq.fr | Personal Website

• British Civilization
• Information and Communication
• Cultural and Creative Industries
• +۳ مورد دیگر

Dijana Petrovska is a Lecturer at Telecom SudParis, part of the Université Paris-Saclay. Her work focuses on biometric systems, medical diagnostics, and privacy-preserving technologies. She has contributed to projects like the EMPATHIC Virtual Coach, aimed at improving elderly health through AI-driven virtual assistants. Her research interests include facial recognition, speech processing, and cryptographic key regeneration using biometrics. Notably, she has pioneered methodologies for early-stage Parkinson's disease detection via facial action units and voice analysis. She also explores secure authentication systems combining biometrics with cryptography, emphasizing privacy preservation. Publications span over two decades, with recent work emphasizing cross-disciplinary applications of AI in healthcare and security. While no specific academic awards are listed, her impactful contributions to the field of biometric and medical AI are evident through her prolific publication record and active project leadership. Her involvement in collaborative projects like SpeechXRays and EMPATHIC demonstrates a commitment to bridging technical innovation with real-world societal needs. Though no student advisees are listed, her work likely impacts both academic and industry research ecosystems.

• Biometrics
• Speech Processing
• Computer Vision
• +۳ مورد دیگر

Mohamed Maouche is a Research Scientist (equivalent to tenured Associate Professor) at Inria's Privatics Team, specializing in privacy-preserving machine learning. His work focuses on developing anonymization techniques for diverse data types including speech, mobility, and health data, with emphasis on federated learning and differential privacy frameworks. Education PhD in Computer Science, INSA Lyon, France (2016–2019) Computer Science Engineer, Ecole Nationale Superieure d’Informatique, Algiers (2011–2016) Baccalaureat in Mathematics, Bouamama High School, Algiers (2008–2011) Research Focus Maouche's research addresses privacy-utility tradeoffs in machine learning systems. Key areas include: Anonymization techniques for speech, mobility, and medical data Re-identification threat analysis across applications Privacy-preserving federated learning for distributed systems Differential privacy implementations His publications demonstrate consistent focus on practical privacy solutions, with recent emphasis on synthetic data generation and speech anonymization. Earlier work established foundational methods for location privacy protection. Teaching Experience Dimension Reduction (Master's level, Université de Lille) Computer Science fundamentals (INSA-Lyon, 2016–2019) Systems programming, Web Data, and HCI (INSA-Lyon)

• Privacy-preserving Machine Learning
• Anonymization Techniques
• Re-identification Attacks
• +۴ مورد دیگر

Helene ZGANIC is a Researcher affiliated with Multispeech , a research team common to Inria, Loria (Universite de Lorraine/CNRS/Inria), and Vivoka. Her work focuses on speech-to-text (STT) systems, natural language understanding (NLU), voice data protection, and acoustic diagnostics, often involving collaborations between academic institutions and industry partners. Key projects she has contributed to include Acoust.IA , designed for sound diagnostic tools, and the VoicePrivacy Challenge , which explores voice anonymization techniques. She has also been involved in the COMPRISE project, addressing weakly supervised learning for speech and text processing, and the Oriental Language Recognition (OLR) challenge , highlighting her expertise in automatic language recognition systems. Her research emphasizes reducing reliance on manually labeled datasets, improving voice assistant technologies, and advancing ethical AI applications in audio engineering and collaborative systems. Academic-industrial partnerships, such as with Vivoka, underscore her commitment to translating research into practical solutions.

• Speech Processing
• Natural Language Processing
• Voice Recognition
• +۴ مورد دیگر