جستجوی استاد راهنمای دانشگاهی

Brice Chardin is an Associate Professor in Data Engineering at ISAE-ENSMA since 2013, affiliated with the LIAS (Laboratoire d'Ingénierie des Applications de la Connaissance et des Systèmes) Data and Model Engineering team. His work bridges academic research and industrial applications, focusing on data management solutions for critical systems. His research spans clustering algorithms under dissimilarity constraints , RDF query relaxation for explaining empty/overabundant results, pattern mining through the RQL language, and energy data management . Key projects include Chronos (a NoSQL system for industrial sensor data) and collaborations with energy companies SRD and Nexeya for predictive consumption analysis. Recent publications (2021-2024) emphasize constrained clustering techniques and cooperative query processing for RDF knowledge bases, revealing a strong trend toward practical solutions for industrial data challenges. His work integrates machine learning with database theory to address real-world data imperfections. PhD in Computer Science from INSA Lyon (2011) Postdoctoral position at LIRIS (2012-2013) on ANR DAG project Specialized in industrial data management since 2011 EDF collaboration Chardin actively supervises academic projects including drone simulation with Ardupilot and Smart Data mining initiatives. His industrial partnerships focus on energy sector applications, particularly predictive analysis for electricity distribution and storage systems. Current work involves developing clustering algorithms with error bounds and query relaxation frameworks for semantic web technologies.

• Data Engineering
• Clustering Algorithms
• Query Relaxation
• +۵ مورد دیگر

Patrick Girard is a Full Professor in Data Engineering at ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechnique) in France. He is a member of the Data Engineering Team within the LIAS (Laboratoire d'Ingénierie des Applications de la Sensorique) laboratory, with dual affiliations at ISAE-ENSMA in Chasseneuil and ENSIP in Poitiers. Professor Girard's research focuses on Human-Computer Interaction , with particular expertise in task modeling , interactive systems design , and programming by demonstration techniques. His work spans theoretical foundations to practical applications in model-based development, user interface design methodologies, and educational technology for programming. He has made significant contributions to task model validation, simulation techniques, and the application of these principles in complex systems engineering, particularly in aerospace contexts. His publication history demonstrates a consistent evolution from foundational work on programming by demonstration and task-oriented architectures in the 1990s to more recent applications in complex systems engineering and avionics. A distinctive trend in his work is the integration of formal methods with practical HCI approaches, creating robust frameworks for developing user-centered interactive systems with safety-critical applications. Professor Girard has mentored numerous researchers throughout his career, with frequent collaborations showing sustained relationships with scholars like Loé Sanou, Nicolas Guibert, and Thomas Lachaume. His research has involved multiple interdisciplinary projects, often connecting academic research with industrial applications, particularly in the aerospace sector. Within the LIAS laboratory, Professor Girard works in the Data Engineering Team alongside colleagues in Automatic Control and Real Time research groups. The laboratory maintains strong industry partnerships, especially with aerospace companies, enabling practical implementation of theoretical research in real-world engineering contexts. His work bridges computer science theory with practical engineering applications, particularly in the French aerospace ecosystem.

• Human-Computer Interaction
• Task Modeling
• Interactive Systems Design
• +۳ مورد دیگر

Samia SBISSI serves as a Lecturer within the School of Engineering at the University of Poitiers, France, affiliated with the LIAS Laboratory (Laboratoire d'Informatique et d'Automatique pour les Systèmes). Her work is centered in the Data Engineering team, with contact details provided via samia.sbissi@univ-poitiers.fr. Her research spans Data Engineering, Big Data infrastructure, Database Systems optimization, Data Science methodologies, and Machine Learning applications. This focus drives contributions to scalable data processing frameworks and analytical techniques within LIAS's interdisciplinary environment. The LIAS Laboratory operates across dual sites: ENSIP in Poitiers (Bâtiment B25, 2 rue Pierre Brousse) and ISAE-ENSMA in Chasseneuil-du-Poitou (Téléport 2, 1 avenue Clément Ader), fostering collaborative projects in computational systems and automation.

• Data Engineering
• Big Data
• Database Systems
• +۲ مورد دیگر

Philippe Jarnoux serves as Professor of Modern History at the University of Brest, affiliated with the Breton and Celtic Research Center (CRBC, EA 4451). His academic career spans decades of research on 16th-18th century Brittany, focusing on social and political structures, elite formations, and maritime/port communities. As former Director of CRBC (2012-2016) and current member of multiple research axes ( Instruments and figures of identity , Creation to reuse , Maritime consciousness ), he maintains active leadership in French historical scholarship. His research interests encompass Social and Political History of Early Modern France, with specialized expertise in History of Elites, Rural Communities, and Maritime/Coastal Areas. Jarnoux examines how power structures operated across Brittany's urban centers, rural landscapes, and port zones, analyzing social mobility through land ownership, municipal governance, and maritime networks. His methodological approach combines prosopography, archival analysis, and spatial history to reconstruct pre-industrial societies. Analysis of his 15 most recent publications reveals consistent focus on Atlantic Europe's socio-economic structures, with increasing attention to maritime networks and cross-regional comparisons since 2015. His work demonstrates how local communities navigated state centralization, economic shifts, and cultural transformations during France's Ancien Régime period. Jarnoux has supervised numerous doctoral candidates including Olivier Michel (2022), Isabelle Guegan (2018), and current students Christophe Andre and Lucas Bosseboeuf. His administrative roles include directing two Master's programs (Cultures/Civilizations/Societies; Performing Arts), serving on the National Scientific Research Committee (2016-2021), and representing University of Brest at Presses Universitaires de Rennes. As co-organizer of research colloquia on Church property (2020-2021) and member of GIS HSM (History and Science of the Sea), he actively bridges academic research with cultural institutions including the Musée de Bretagne's Scientific Committee. His digital humanities projects include online databases of Brest's penal colony records (2017-2020) in collaboration with SHD Brest.

• Social and Political History
• History of Elites
• Rural History
• +۵ مورد دیگر

Yoann DUFRESNE serves as a Lecturer at ESPRIT, Scientific City, affiliated with the Bonsai research team. His academic role integrates computational methods with biological research, focusing on algorithmic solutions for complex biochemical analysis. Education: Doctoral research initiated October 1, 2013 at ESPRIT, Scientific City under Maude Pupin's supervision Thesis: "Algorithm for the automatic annotation of non-ribosomal peptides" Research Interests: Dr. DUFRESNE specializes in bioinformatics algorithm development for non-ribosomal peptide annotation—a critical process in pharmaceutical discovery. His work bridges computer science and microbial biochemistry , targeting automation of molecular analysis workflows. Key focus areas include computational pattern recognition in secondary metabolites and scalable annotation frameworks for natural product databases. He maintains active collaboration with the Bonsai research team, which concentrates on computational approaches to biological system modeling and drug discovery pipelines.

• Bioinformatics
• Algorithm Design
• Computational Biology
• +۲ 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

Sybille Caffiau serves as a Lecturer in Data Engineering at ISAE-ENSMA's School of Engineering, affiliated with the LIAS laboratory across both ENSIP (Poitiers) and ISAE-ENSMA (Chasseneuil) campuses. Her research focuses on Human-Computer Interaction with specialization in task modeling and user interface validation. Her research interests span Human-Computer Interaction , Task Modeling , and User-Centered Design . She develops and evaluates tools like K-MADe for modeling user activities, with emphasis on empirical validation of task modeling approaches. Her work bridges cognitive science principles with practical software engineering applications, particularly in educational technology and interactive system design. Analysis of her publication trends reveals consistent contributions to HCI conferences and journals since 2006, with increasing focus on tool development (notably K-MADe) and empirical validation methodologies. Her recent work demonstrates strong interdisciplinary connections between cognitive modeling, software engineering, and educational technology. No scientific awards or fellowships are documented in the available materials. While her collaborative network includes prominent researchers like Laurent Guittet and Patrick Girard, specific details about student advising or research grants are not provided in the source materials. Her thesis work (2009) established foundations for model-driven interactive application design. She operates within the LIAS laboratory's Data Engineering team, contributing to research on interactive systems and task modeling frameworks. The KMADe environment represents her primary software contribution for activity description and task modeling.

• Human-Computer Interaction
• Task Modeling
• User Interface Design
• +۳ مورد دیگر

Ibrahim Dellal is a Lecturer in Data Engineering at ISAE-ENSMA, France, affiliated with the LIAS laboratory. His research focuses on semantic web technologies, particularly query processing over uncertain RDF knowledge bases. He addresses critical problems like empty answers and overabundant query results through cooperative approaches that explain and refine unsuccessful queries, contributing significantly to knowledge representation and database systems. Education: PhD in Computer Science from ISAE-ENSMA (2019) on managing large knowledge bases with incomplete and uncertain data Research Interests: Data Engineering and Semantic Web Technologies Uncertainty Handling in Knowledge Bases Cooperative Query Processing Query Result Explanation and Refinement RDF Systems and Knowledge Representation His 2017-2020 publications demonstrate consistent focus on cooperative query answering for uncertain RDF knowledge bases, specifically tackling the empty answer problem through explanation generation and the overabundant answers problem via query refinement. These works advance semantic web and database research by bridging user interaction with automated query optimization under data uncertainty. He is an active member of the Data Engineering team at LIAS laboratory, which operates across ISAE-ENSMA's Chasseneuil campus and collaborates with teams in Automatic Control and Real Time systems for interdisciplinary engineering research.

• Data Engineering
• Semantic Web
• Knowledge Representation
• +۳ مورد دیگر

Yassine Ouhammou is an Associate Professor in computer science at École Nationale Supérieure de Mécanique et d'Aérotechnique (ENSMA), where he is a member of the "Real-Time and Embedded Systems" research team at LIAS laboratory. His work focuses on critical real-time embedded systems with applications in avionics, drones, and control command systems. His research interests include: Software architectures for critical real-time embedded systems Design and analysis of critical real-time systems regarding their temporal performances Model-based design using domain specific languages (MoSaRT, AADL, Capella, Time4Sys) Real-time scheduling and dimensioning Knowledge repositories for expertise capitalization, reuse and reproducibility Collaborative engineering for complex systems design Model-driven engineering and formal methods Dr. Ouhammou's publication record shows consistent contributions to real-time systems, embedded architectures, and model-based approaches. His recent work demonstrates increasing emphasis on drone technology and avionic applications, with numerous collaborations on autopilot design, scheduling optimization, and verification methodologies. His research bridges theoretical computer science with practical aerospace engineering challenges, addressing safety-critical aspects of embedded systems. Professional service includes: PC Member of MEDES 2020, INISTA 2020, WIMS, SADASC 2020 PC Chair of DETECT 2019 General Co-Chair of RTNS 2018 PC Member of multiple international conferences since 2017 Dr. Ouhammou collaborates extensively with researchers in the field of real-time systems, particularly with Emmanuel Grolleau and other members of the LIAS laboratory. His work often involves interdisciplinary teams addressing complex challenges in aerospace and embedded systems engineering, with practical applications in drone technology and avionic systems.

• Real-Time Systems
• Embedded Systems
• Model-Based Design
• +۶ مورد دیگر

Ahmed Rahni serves as a Research Fellow at ISAE-ENSMA, affiliated with the Laboratory of Engineering Applications of Signaling and Systems (LIAS) within the Real Time Team. His work centers on real-time scheduling theory and response time analysis for transaction-based embedded systems. He earned his PhD in Networks and Telecommunications from the University of Poitiers in 2008 with the thesis "Contributions to the validation of real-time scheduling in the presence of transactions under fixed priorities and EDF". Rahni's research focuses on Real-Time Systems, Embedded Systems, and Scheduling Theory. His expertise includes feasibility analysis of real-time transactions, worst-case response time computation under fixed priority and EDF scheduling, and offset-aware scheduling for time-critical applications. His work addresses fundamental challenges in ensuring temporal correctness for complex real-time environments. His publication history reveals consistent contributions to real-time scheduling theory from 2006-2012, with emphasis on analytical methods for transaction processing systems. Key trends include comparative analysis of schedulability techniques, development of efficient response time computation frameworks, and extension of scheduling theory to handle transaction dependencies and offsets. No scientific awards were documented in the provided materials. The available information indicates no formal student advisement or research grants were recorded in the source text. As an active member of LIAS's Real Time Team, he contributes to the laboratory's research infrastructure spanning both ISAE-ENSMA (Chasseneuil) and ENSIP (Poitiers) locations, focusing on theoretical and applied real-time systems engineering.

• Real-Time Systems
• Embedded Systems
• Scheduling Theory
• +۳ مورد دیگر

Jorge Raul Navarro-Cabrera serves as a contracted lecturer in the Faculty of Engineering and Architecture at Peruvian Union University since March 2025, while concurrently holding technical and editorial roles at Universidad Nacional de San Martin in Tarapoto, Peru. His institutional affiliations demonstrate dual engagement in academic instruction and university publishing operations. He earned his Systems and Computer Engineering degree from Universidad Nacional de San Martin, establishing the foundation for his interdisciplinary research career. This educational background directly informs his applied technical approach across diverse domains. Navarro-Cabrera's research program centers on artificial intelligence and data science applications addressing Peruvian societal challenges. His work in health informatics develops non-invasive diagnostic tools using computer vision, while tourism technology research focuses on ICT solutions for destination promotion. Educational data mining constitutes another pillar, particularly unsupervised learning for student retention prediction. These threads converge in practical implementations like municipal sociocultural web applications and immigration risk classification systems. Analysis of his 15 most recent publications reveals a consistent pattern of collaborative research with Miguel Valles-Coral and Lloy Pinedo, spanning healthcare diagnostics, tourism innovation, and educational technology. The geographical focus remains predominantly Peruvian, with methodological strengths in unsupervised learning algorithms and multimodal data analysis. His academic service includes editorial assistance for scientific journals at Universidad Nacional de San Martin, complementing his technical role in the university's editorial department. This combination of teaching, research, and publishing support reflects a multifaceted academic profile engaged with both theoretical and operational aspects of higher education.

• Artificial Intelligence
• Data Science
• Health Informatics
• +۳ مورد دیگر

Jorge Damian Valverde Iparraguirre serves as a Lecturer at the Faculty of Systems and Computer Engineering, National University of San Martin since 2003, concurrently pursuing his Doctorate in Business Management. His professional scope expanded in 2022 with a role as Process Management Developer at HSEQS SERVICES S.A.C., reflecting his expertise in operational optimization. Academic credentials include a Doctorate in Business Management (2018-2021) from National University of San Martin; Master's in Educational Sciences with Research & Teaching specialization (2013) from National University Pedro Ruíz Gallo; and Bachelor's in Computer & Systems Engineering (1997-2002) from Antenor Orrego Private University. Research centers on transformative ICT applications across societal domains. Primary interests encompass process automation, digitalization, and big data analytics, specifically targeting educational technology enhancement, information systems innovation, and software quality assurance. His work consistently bridges theoretical frameworks with practical implementations to address regional development challenges through technological solutions. Publication analysis reveals an evolving trajectory from foundational educational technology studies (2016-2018) toward integrated business-ICT systems (2019-2021), culminating in recent interdisciplinary work spanning medical informatics (2025) and agricultural biotechnology (2023). This demonstrates methodological versatility across quantitative, qualitative, and mixed research paradigms with strong emphasis on real-world problem-solving. Research funding includes two university grants (2013-2014) for the hydraulic robot arm project. As an academic leader, he has significantly contributed to curriculum development, competency frameworks, and academic administration while organizing national conferences on ICT-driven decision optimization and knowledge management.

• Process Automation
• Digitalization
• Big Data
• +۳ مورد دیگر