جست‌وجوی استاد و پژوهشگر

• Aerial Robotics
• Tethered Aerial Vehicles
• Control Systems
• +۶ مورد دیگر

Dr. Marco Tognon is an Assistant Professor in the Department of Mechanical and Process Engineering at ETH Zurich, specializing in aerial robotics with a particular focus on tethered systems and physical interaction capabilities. Born in Italy in 1989, he completed his doctoral studies at INSA Toulouse in 2018 under the supervision of Antonio Franchi and Juan Cortés. His academic journey has taken him through LAAS-CNRS for postdoctoral research before establishing his independent research group at ETH Zurich. Dr. Tognon's research interests center on aerial robotics, particularly tethered aerial vehicles and their physical interaction capabilities. His work spans control theory for aerial robots, motion planning, human-robot collaboration, and aerial manipulation systems. He has developed novel approaches for cable-suspended load transportation, physical human-aerial robot interaction, and specialized aerial platforms like the Geranos tilted-rotors system for pole transportation. His research bridges theoretical control frameworks with practical implementation in real-world scenarios, especially in industrial and agricultural applications. His publication record demonstrates consistent productivity with numerous high-impact publications in IEEE Transactions on Robotics, IEEE Robotics and Automation Letters, and major conferences like ICRA and IROS. Recent work (2023-2025) shows particular emphasis on agricultural applications (tree shaking), specialized aerial platforms, and advanced control techniques for physical human-robot interaction. His research group maintains strong international collaborations, particularly with institutions in France, Italy, and Switzerland. Specialized aerial manipulation systems for agricultural tasks Novel aerial platforms for specific transportation needs Advanced control frameworks for physical human-robot interaction Rigorous theoretical foundations with experimental validation Dr. Tognon's work exemplifies the integration of theoretical control principles with practical robotics applications, with increasing focus on real-world implementation in agricultural and industrial settings. His research group provides students with opportunities to work at the cutting edge of aerial robotics while addressing practical challenges in physical interaction scenarios.

Pierre-Antoine Thouveninمشاهده پروفایل

استادیار

• Signal Processing
• Inverse Problems
• Hyperspectral Image Unmixing
• +۵ مورد دیگر

Pierre-Antoine Thouvenin is an Assistant Professor at Centrale Lille, a prestigious engineering school within the University of Lille community in France. He is a member of the SigMA team from the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille), where he conducts research on inverse problems with applications to remote sensing and astronomy. His academic journey began with an Engineering degree in Electronics and Signal Processing from INP - ENSEEIHT Toulouse in 2014, followed by a Master of Science in "Signal, Image, Acoustics" from the same institution. He completed his Ph.D. in "Signal, Image, Acoustics" from Institut National Polytechnique de Toulouse between 2014 and 2017, with research focused on modeling spatial and temporal variabilities in hyperspectral image unmixing. Thouvenin's research interests span several interconnected areas in signal processing and computational imaging. His primary focus is on solving inverse problems, particularly in the context of radio-interferometric imaging for astronomy and hyperspectral image unmixing for remote sensing applications. He has made significant contributions to developing advanced algorithms for handling spectral variability in hyperspectral data and for image reconstruction in radio astronomy. His work often combines Bayesian statistical methods with optimization techniques to address challenging high-dimensional problems. A distinctive aspect of his research is the development of distributed and parallel computational methods that enable processing of extremely large datasets that would be intractable with conventional approaches. An analysis of his recent publications reveals a strong trend toward developing distributed and parallel computational methods for large-scale inverse problems. His work increasingly integrates machine learning approaches, particularly neural networks, with traditional signal processing techniques. There's a clear progression from theoretical developments in hyperspectral unmixing to practical applications in astronomy, particularly through his involvement in the ORION-B project where he applies statistical methods to infer physical conditions in star-forming regions. His most recent work demonstrates sophisticated integration of spatial regularization techniques with Bayesian inference for astrophysical parameter estimation. Prix Léopold Escande from Institut National Polytechnique de Toulouse (2017) - awarded to the best PhD theses defended at INPT Prix de l'Institut National Polytechnique de Toulouse (2014) - awarded for outstanding academic achievement during engineering studies Thouvenin is actively involved in mentoring the next generation of researchers. He currently co-supervises the PhD thesis of Pierre Palud on "Statistical methods for model inversion and spatial distribution of physico-chemical properties of the molecular cloud Orion B" as part of the CNRS 80|Prime project OrionStat. His research is supported through various academic collaborations and projects, including the ORION-B project led by Jérôme Pety, which involves molecular line observations from the IRAM-30m Large Program. He has established productive international collaborations, particularly with researchers at Heriot-Watt University in Edinburgh where he worked as a Research Associate from 2017-2019. Thouvenin is a key member of the SigMA team within the CRIStAL laboratory, a joint research unit between Centrale Lille, INRIA, and University of Lille. His work often intersects with the ORION-B project, where he collaborates with astrophysicists to develop statistical methods for inferring properties of Galactic and extra-galactic star forming regions. This interdisciplinary environment fosters innovation at the intersection of signal processing, statistics, and astronomy. He has developed expertise in translating complex statistical methodologies into practical computational tools that address real-world challenges in both remote sensing and astronomical imaging.

• Language Didactics
• Digital Writing
• Artificial Intelligence in Education
• +۳ مورد دیگر

Radia Hannachi is a Senior Lecturer in Language Didactics at the University of Franche-Comté, affiliated with the research team Heritage and Creation in Text and Image (HCTI). Her work bridges language pedagogy and digital innovation, emphasizing: AI-driven writing assessment and generative tools Multimodal grammar instruction Collaborative digital literacy frameworks Her research, often co-authored with international collaborators, examines technology's role in reshaping language education. Recent publications highlight trends in generative AI applications, scientific text simplification, and social media discourse analysis. She actively contributes to CLEF initiatives, focusing on accessibility in academic communication. Key research domains include: Language Didactics : Active learning methodologies enhanced by digital tools Digital Writing : From mind mapping to AI-assisted co-creation Multimodal Communication : Integrating text, image, and data visualization She maintains a focus on practical pedagogical innovations, as evidenced in her development of virtual collaborative environments and strategies for technology integration in curricula.

Maximilian Schaeferمشاهده پروفایل

استادیار

• Digital Economy
• Industrial Organization
• Blockchain Technologies
• +۳ مورد دیگر

Maximilian Schaefer serves as an Assistant Professor at Institut Mines-Télécom Business School within the Data Analytics, Economics and Finance division. He holds a Doctorate in Economics from Technische Universität Berlin (2020), an M.Sc. from Rheinische Friedrich-Wilhelms-Universität Bonn (2014), and a B.Sc. from Universität Mannheim (2012). His professional experience includes postdoctoral positions at Yale University's Tobin Center for Economic Policy and the University of Bologna. His research examines the digital economy through empirical lenses, focusing on: Competition dynamics in data-driven markets Algorithmic collusion mechanisms Platform economy impacts on traditional industries Blockchain technology applications Intersections of economics and computer science His publication portfolio demonstrates strong thematic consistency in digital market analysis, with recent work exploring rental market disruptions, data learning frameworks, and personal data market designs. The research consistently employs empirical methodologies across urban, regulatory, and development contexts. Awards and grants include: Knight Foundation Grant (2023) Fritz Thyssen Foundation Grant (2023) DIW Berlin Doctoral Scholarship (2015-2018) Teaching Excellence Award, University of Bonn (2014) He maintains active affiliations with Yale University's Information Society Project (since 2023) and participates in the Digital Economics Research Network. His research agenda continues to explore computational approaches to economic problems in digital markets.

• Composite Materials
• Impact Damage Modeling
• Fracture Mechanics
• +۴ مورد دیگر

Christophe Bouvet is a Professor in the Department of Aerospace Structures at ISAE-SUPAERO (Institut Supérieur de l'Aéronautique et de l'espace), where he leads research in composite materials mechanics within the Matériaux et Structures Composites (MSC) group. His work bridges experimental mechanics and numerical modeling with strong industry collaboration through the VERTEX project. His research focuses on damage mechanics of composite structures, particularly under impact loading and multiaxial stress states. Key areas include translaminar fracture behavior of thermoplastic composites, damage tolerance prediction, and development of advanced numerical models like the Discrete Ply Model. His recent work investigates hybrid composites under extreme conditions including flame exposure and high temperatures, addressing critical challenges for aerospace applications. Bouvet's publication record shows consistent high-output research with over 250 contributions, demonstrating strong activity in both experimental and computational composite mechanics. His recent publications (2023-2025) emphasize multiaxial testing methodologies, thermoplastic composite behavior, and AI-assisted damage prediction, reflecting current trends in composite research toward more realistic loading scenarios and advanced materials. Key scientific contributions: Development of the Discrete Ply Model for high-fidelity composite simulation Advancement of multiaxial testing methodologies through the VERTEX project Characterization of thermoplastic composite behavior under extreme conditions Experimental-numerical frameworks for impact damage prediction Bouvet actively supervises graduate students and maintains strong industry collaborations, particularly with Airbus, focusing on solving practical challenges in composite structure certification. His work directly supports the development of more damage-tolerant and reliable composite aircraft structures through improved understanding of failure mechanisms and advanced validation methodologies.

Fabrice Lamarcheمشاهده پروفایل

دانشیار

• Virtual Humans
• Crowd Simulation
• Motion Planning
• +۵ مورد دیگر

Fabrice Lamarche serves as an Associate Professor at Université de Rennes 1 within the ESIR School of Engineering, while maintaining dual affiliation with the MimeTIC research team at IRISA / INRIA Rennes. His academic career spans uninterrupted service since 2004, evolving from Assistant Professor roles at IFSIC (2003-2009) to current positions at ESIR. As co-founder of Golaem (2009), he bridges academic research with commercial application in crowd simulation technology. His institutional journey includes sequential membership in SIAMES (2004-2006), Bunraku (2007-2011), and MimeTIC (2011-present) research teams at INRIA. Lamarche earned his PhD in Computer Sciences from Université de Rennes 1 in 2003 with thesis work on virtual human autonomy. His educational foundation includes a Master of Computer Sciences specializing in Computer Graphics and AI (1999-2000), a Master of Engineering from INSA de Rennes (1997-2000), and a Technical degree from IUT de Limoges (1995-1997). His research program centers on virtual human behavior modeling with emphasis on decision-making systems, path planning under environmental constraints, and crowd simulation architectures. Key innovations include TopoPlan for human-scale navigation and frameworks integrating high-level task scheduling with low-level motion planning. This work addresses fundamental challenges in creating autonomous virtual characters capable of navigating complex 3D environments while exhibiting realistic behaviors, with applications spanning virtual reality, gaming, and simulation-based training systems. Publication analysis reveals consistent output from 2001-2014, evolving from foundational behavioral animation (2001-2004) to sophisticated crowd simulation systems (2013-2014). A notable trajectory shows increasing integration of cognitive modeling with motion planning, alongside exploration of Brain-Computer Interfaces for virtual navigation. Recent work demonstrates particular strength in semantic decomposition of urban environments and time-space constrained task scheduling. His scientific contributions have earned significant recognition: Rennes city medal (2009) for research excellence Second prize at Deutsch Telekom Awards (FMX 2008) for TopoPlan/MKM integration As an active researcher and educator, Lamarche advises students through Université de Rennes 1 while leveraging INRIA resources and Golaem industry partnerships. His publication record indicates sustained grant funding, particularly through INRIA channels, with collaborative projects extending to neuroscience applications via Brain-Computer Interface research. The MimeTIC team affiliation provides infrastructure for multimodal interaction research in complex virtual environments. Lamarche's laboratory work through MimeTIC focuses on developing practical implementations of virtual human autonomy systems. His research group maintains strong industry connections via Golaem, which commercializes crowd simulation technology. Current efforts emphasize semantic understanding of virtual urban spaces and robust path planning under dynamic constraints, building on foundational work in topological navigation and behavioral decision systems.

Nicolas Vignaisمشاهده پروفایل

استاد

• Biomechanics
• Physical Ergonomics
• Human Motion Analysis
• +۵ مورد دیگر

Nicolas Vignais is a Professor at the University of Rennes 2's Laboratory for Movement, Sport, and Health (M2S) and holds a concurrent position as an Associate Professor at the University of Paris-Saclay's Faculty of Sport Sciences (CIAMS Laboratory). His academic trajectory includes prior roles as an Assistant Professor at the University of Technology of Belfort-Montbéliard and a PostDoc at McMaster University. He earned his doctorate in Biomechanics from the University of Rennes 2. His research integrates biomechanics , physical ergonomics , and sports science , with emphases on: Human motion analysis using inertial sensors and VR Musculoskeletal modeling for exoskeleton control Ergonomic interventions in healthcare/industrial settings Sports performance quantification via instrumented wearables Recent publications demonstrate prolific output in human-robot interaction (15+ exoskeleton studies), biomechanical sensing (novel force/EMG methods), and applied ergonomics (hospital/industrial validation). Work consistently intersects engineering, physiology, and computational modeling. He leads the M2S Laboratory, focusing on movement innovation across sports, rehabilitation, and occupational domains. No awards or student supervision details are documented in available sources.

Barbara Olszewskaمشاهده پروفایل

دانشیار

• Sociology of Communication
• Anthropology of Art
• Digital Social Interactions
• +۴ مورد دیگر

Barbara Olszewska is an Associate Professor of Sociology/Anthropology of Communication at the University of Technology of Compiègne (UTC), affiliated with the Costech laboratory since 2004. Her research bridges art, society, and technology, with a focus on ethnographic film studies, digital social interactions, and aesthetic transformations of ordinary experiences. She has led projects like 'Learning and Common Sense' and maintains an active art-research blog documenting interdisciplinary investigations. Her education includes a PhD in Information and Communication Sciences (2001) from Université Montpellier 3, a postdoctoral fellowship at France Telecom's Ergonomics Laboratory (2001–2004), and prior work as a teaching assistant at Université de Lettres, Montpellier (1998–2001). Olszewska’s research explores: The interplay between artistic practices and societal structures, particularly through avant-garde influences. Digital technology’s role in reshaping social interactions across ecological, humanitarian, and educational contexts. Ethnographic film as a tool for mediating scientific and aesthetic experiences, documented in global fieldwork (e.g., Nepal, Bali, Lanzarote). Her publications analyze dance, technology ruptures, and collective action, emphasizing qualitative methodologies and pragmatist philosophy. She has coordinated international conferences and edited interdisciplinary volumes like Les données de l’enquête . She collaborates extensively with artists and researchers, facilitating networks like the CEMS-IMM/EHESS-CNRS delegation. Current projects include documentary films on Jean-Marie Straub and studies of César Manrique’s Art-Nature concept.

José Rouillardمشاهده پروفایل

مدرس

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

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

• Artificial Intelligence
• Data Science
• Health Informatics
• +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.

• Information Systems
• Artificial Intelligence
• Digital Economy
• +۵ مورد دیگر

Lloy Pinedo-Tuanama is a Research Professor at Norbert Wiener Private University's School of Engineering and Business and a Researcher at the National University of San Martín's Faculty of Systems and Computer Engineering. He serves as Associate Editor for the Journal of Systems and Computer Science and coordinates the Business Digital Transformation Research Group and Smart Business Research Seedbed. His work bridges academic research with practical applications in Peru's socio-economic context. Education: Bachelor of Systems and Computer Engineering, National University of San Martín (2016-2021) Master of Science in Information Technology, National University of San Martín (2022-2024) PhD Candidate in Information and Communication Technologies Research Focus: Pinedo's interdisciplinary work integrates artificial intelligence with real-world challenges in healthcare, tourism, and education. His research in digital transformation addresses Peru's regional development needs, particularly in the Amazon region, through projects on sustainable tourism, non-invasive medical diagnostics, and educational technology. He emphasizes practical implementations of machine learning for social impact. Publication Trends: Recent publications (2023-2025) reveal a strategic focus on applied AI solutions: 40% in healthcare (anemia detection, hypertension management), 35% in tourism (visitor profiling, sustainable practices), and 25% in education systems. His work consistently applies machine learning to solve region-specific problems while advancing methodological approaches in multimodal data analysis. Scientific Recognition: RENACYT Researcher Level IV (CONCYTEC, 2022-present) PRONABEC Scholarship Holder Research Leadership: Pinedo has secured 19 grants totaling over $500,000 from institutions including PROCIENCIA and Norbert Wiener University. His projects demonstrate strong community engagement, particularly with San Martín region institutions. Current initiatives include generative AI for Amazonian community tourism, digital museum communication strategies, and sustainable tourism analytics for Peruvian travel agencies. Research Infrastructure: He directs the Business Digital Transformation Research Group at Norbert Wiener University, which operates a dedicated AI laboratory for tourism and healthcare applications. The Smart Business Research Seedbed mentors 15+ undergraduate researchers in applied AI projects, with strong industry partnerships in Peru's technology sector.