جستجوی استاد راهنمای دانشگاهی

• Cognitive Dissonance
• Attitude Formation and Change
• Inconsistency Processing
• +۹ مورد دیگر

David Vaidis is a researcher at the Cognition, Languages, Ergonomics (CLLE) laboratory, a joint research unit affiliated with the University of Toulouse-Jean Jaurès. His academic career centers on cognitive dissonance theory, with significant contributions through numerous publications, books, and leadership in large-scale replication efforts. His research spans multiple dimensions of social psychology, with particular focus on attitude formation and change, inconsistency processing, expectation violation, and commitment mechanisms. Vaidis has emerged as a key figure in the movement toward methodological rigor, leading multi-lab replications of classic cognitive dissonance paradigms that address replication challenges in psychological science. His scholarly output includes two foundational books: La dissonance cognitive: Approches classiques et développements contemporains (2011) and Degré d'inconsistance, Engagement, et Information (2010). Recent publication trends reveal a strategic shift from purely theoretical explorations to methodological innovation and collaborative science. His 2024 multi-lab replication of the induced-compliance paradigm represents a landmark contribution to the field, involving researchers from numerous countries. This work exemplifies his commitment to open science principles and big team science approaches that enhance research reliability. His publications appear in premier journals including Journal of Personality and Social Psychology , Advances in Methods and Practices in Psychological Science , and European Journal of Social Psychology . Vaidis actively contributes to academic discourse through conference presentations and workshops on managing large-scale collaborative projects. His work has practical applications across environmental psychology, health communication, relationship science, and organizational behavior, demonstrating the versatility and relevance of cognitive dissonance theory to contemporary societal challenges.

Benoit Favreمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Learning
• Multimodal Systems
• +۵ مورد دیگر

Benoit Favre is a Full Professor (PR, Section 27) at Aix-Marseille University and its engineering school Polytech Marseille since 2021. He leads the Data Science axis at the Laboratoire d'Informatique et Systèmes (LIS, CNRS UMR7020), encompassing research teams in NLP, machine learning, and multimodal processing. He completed his HDR (habilitation) in 2019 and serves as co-head of the multimodality group in the CNRS GdR on NLP. His research focuses on Natural Language Processing with machine learning, including semantic content analysis, multimodal system fusion, and technology evaluation in realistic applications. He teaches advanced machine learning for NLP at the Master IAAA program and organizes the ILCB Summer School. The 15 most recent publications highlight trends in Vision-Language Transformers , biomedical classification, historical domain adaptation, and cross-modal analysis. These works span from 2020 to 2024, with particular emphasis on multimodal representations, semantic parsing, and robust NLP systems. Scientific Awards : Best paper at TALN 2011 Ranked 1st in PERCOL consortium (REPERE 2013-2014) Ranked 1st in TAC 2008 and 2009 Benoit is also deeply engaged in community service, having organized major conferences like IEEE SLT 2010, SLAM 2013, and TALN 2014. He serves on scientific committees for selection of PhD grants and faculty positions. Office location: University library building (Luminy campus), second floor, office C207

Carlos Ramischمشاهده پروفایل

استادیار

• Computational Linguistics
• Natural Language Processing (NLP)
• Multiword Expressions (MWEs)
• +۱۵ مورد دیگر

Carlos Ramisch is an Assistant Professor in Computer Science at Aix Marseille University, France, affiliated with the TALEP research group at LIS (Laboratoire d'Informatique et Systèmes). His work centers on computational linguistics and natural language processing, with a primary focus on multiword expressions (MWEs), language models, and semantic analysis. He actively contributes to the PARSEME community, organizing shared tasks on verbal MWE identification. His research includes developing the mwetoolkit for MWE discovery and SLICE for interpretable contextual embeddings. He has led funded projects such as SELEXINI (2022-2026) and PARSEME-FR (2016-2021). His methodological innovations span cross-lingual dependency parsing via typological features (NAACL 2019), compositionality prediction for nominal compounds (Computational Linguistics 2022), and lexical substitution datasets (IWCS 2017). He supervises students in NLP internships and co-authored the educational comic strip La grande aventure du TAL . His editorial roles include the LSP series on Phraseology and MWEs, and he has chaired multiple MWE workshops (2010-2022).

• Endogenous Growth Theory
• Innovation Economics
• Industrial Organization
• +۵ مورد دیگر

Philippe Aghion is Professor at the Collège de France, holding the Chair of Economics of Institutions, Innovation and Growth since 2015. He is also Professor at INSEAD and Visiting Professor at the London School of Economics. A Fellow of the Econometric Society and the American Academy of Arts and Sciences, he is one of the founders of modern Schumpeterian growth theory. Education: (Specific degrees not detailed in the text.) Research Focus: Endogenous growth and innovation-driven development Competition, industrial policy and market structure Inequality, social mobility and education Green innovation and energy transition Macroeconomic policy and productivity dynamics His recent publications reveal a strong emphasis on creative destruction , green growth and firm-level innovation . 2024-2025 papers explore how technological turnover resets innovation cycles, how social skills shape wage growth for low-educated workers, and how supply-chain linkages affect the adoption of clean technologies. Earlier work examines the macroeconomic consequences of automation, the heterogeneous impact of export markets on R&D, and the anatomy of inequality in France. Scientific Awards: Yrjö Jahnsson Prize (2001) – best European economist under 45 John von Neumann Prize (2009) BBVA Frontiers of Knowledge Award in Economics (2020) – shared with Peter Howitt Research Team & Grants: The Chair in the Economics of Institutions, Innovation and Growth brings together more than twenty researchers working on innovation, productivity, environmental economics and income mobility. The chair regularly hosts conferences and funds research assistants, indicating sustained external funding and institutional support. Labs & Initiatives: The chair itself functions as an active research hub, organizing annual lecture series, policy round-tables (e.g., European competitiveness debates) and outreach to high-school innovation campuses.

Bruno Gaujalمشاهده پروفایل

استاد پژوهش

• Performance Evaluation
• Optimization
• Discrete Event Dynamic Systems
• +۵ مورد دیگر

Bruno Gaujal is a Research Professor at Inria Grenoble-Rhône-Alpes, affiliated with Université Grenoble Alpes. He obtained his PhD from the University of Nice in 1994 under François Baccelli's supervision and has held positions at AT&T Bell Labs, INRIA, and École Normale Supérieure de Lyon. He previously led the MESCAL (now POLARIS) research group focused on large-scale computing until 2015. His research interests center on performance evaluation, optimization, and control of discrete event dynamic systems with stochastic inputs. Specific areas include: Markov Chains and Markov Decision Processes Reinforcement Learning and stochastic optimization Queueing theory and scheduling algorithms Energy-efficient computing in distributed systems Game-theoretic approaches in network optimization Gaujal's recent publications show strong emphasis on reinforcement learning applications in queueing networks, energy optimization for real-time systems, and scalable algorithms for Markov Decision Processes. His work bridges theoretical frameworks like Whittle indices with practical implementations in cloud computing and distributed systems. He has supervised numerous PhD students including Nicolas Gast (now Inria researcher), Anne Bouillard (Huawei researcher), and Emmanuel Hyon (Paris Nanterre professor). Current students include Hélène Arvis and Romain Cravic. Gaujal co-founded RTaW, a startup specializing in real-time network design tools. At Inria, he leads research in the POLARIS group, focusing on optimization methods for large-scale distributed computing infrastructures. His work involves collaborations with 85+ co-authors across institutions globally.

• Mathematics education
• Didactics of mathematics
• Epistemology of mathematics
• +۴ مورد دیگر

Cécile Ouvrier-Buffet is a University Professor of Mathematics Teaching at Université Paris-Est Créteil Val de Marne (UPEC) . She conducts her research within the André Revuz Didactics Laboratory (LDAR, EA 4434) , a multi-institutional unit that also federates Paris Diderot, Cergy-Pontoise, Artois and Rouen. Education & Academic Trajectory While the page does not detail her own degrees, her extensive record of doctoral supervisions, editorial boards and international scientific responsibilities attests to a full professorial status within the French higher-education system. Research Interests Her work centres on the didactics of mathematics , with four inter-connected thrusts: Epistemological and cognitive analysis of students’ mathematical activity (definitions, proofs) Design and study of Inquiry-Based Education in mathematics and experimental sciences from primary school to university Investigation of Mathematical Learning Disabilities (dyscalculia, algebra-related disorders) Teaching and learning of discrete mathematics at tertiary level Keywords that recur in her publications include epistemology, didactics, proof, definitions, learning disabilities, inquiry-based learning . Publications & Scholarly Impact Across the last decade her output has blended theoretical advances with empirical classroom studies. A strong collaborative orientation is evident in multi-author works on dyscalculia, while single-authored pieces model definitional processes or analyse inquiry situations. Recent papers in Journal of Mathematical Behavior and Educational Studies in Mathematics consolidate her international reputation. Scientific Awards & Distinctions The page lists no named prizes, but highlights a dense portfolio of scientific responsibilities that function as peer recognition: President of the French Association for Research in Mathematics Didactics (ARDM) since 2019 Member of the French Mathematical Society Education Commission (2012-2019) Scientific committee memberships for ANR, IREM network, and several leading journals Co-editor-in-chief of Recherches en Didactique des Mathématiques (2016-2019) Doctoral Supervision & Grants She has directed or co-directed 5 completed PhDs and currently supervises 4 ongoing theses . Her research has been supported by: Hubert-Curien CEDRE / EMa2S project (co-direction of two theses) ANR IDEX IMEP on modelling and investigation (2014-2016) ECOS-Sud Chile comparative study on analysis teaching (2014-2016) PIA Incitative Amont project on inquiry processes in mathematics and science (2014-2015) Founding member of the international RITEAM network on mathematical learning disorders (2017-) Participant in GDR DEMIPS on didactics, epistemology and computer-science interfaces (2020-) Laboratory & Team All research is carried out within the LDAR , a multi-site laboratory whose Paris-Diderot premises are located at Sophie-Germain building, Paris 13. The lab focuses on learning, teaching and training in mathematics, physical sciences and natural sciences across all educational levels.

• Food Process Engineering
• Transfer Phenomena
• Thermomechanical Treatments
• +۴ مورد دیگر

Francine FAYOLLE is a Professor at Oniris Nantes in the Food Process Engineering Department, which she led from 1996 to 2002. She is affiliated with the GEPEA laboratory (UMR CNRS 6144). Her academic journey includes: Chemical Engineering degree from ENSIGC (1989) Master of Science in Chemical Engineering from University of Massachusetts Amherst (1990) PhD from Chemical Engineering Laboratory (LGC UMR 5503) with Motorola-collaborated thesis on CVD modeling (1993) Her research examines coupled transfer phenomena in viscous food processing and thermomechanical interactions , with specialized expertise in scraped-surface heat exchangers and flow pattern optimization for industrial cleanability. Current work includes coordinating the ANR SIMPFRI program task on flow dynamics in ice cream production and cleaning systems.

Johannes Zieglerمشاهده پروفایل

استاد پژوهش

• Reading
• Dyslexia
• Computational Modeling
• +۲ مورد دیگر

Johannes Ziegler is a CNRS Research Director and Director of the Convergences Institute 'Language, Communication, and the Brain' at Aix-Marseille University. He chairs the Internal Scientific Council of the Pilot Center for Research in Education (AMPIRIC) and serves on France's National Education Scientific Council (CSEN). His research bridges cognitive neuroscience, psychology, and education, with a focus on reading mechanisms, dyslexia, and computational modeling. Ziegler's work emphasizes: Cerebral basis of reading across languages Computational models of normal/pathological reading Development of digital literacy tools (GraphoGame, Hibou) Interventions for learning disabilities in underprivileged schools His recent publications (2021-2025) demonstrate strong trends in: Neurobiological foundations of dyslexia using fMRI/neural imaging Predictive processing and statistical learning in reading Morphological/semantic influences on word acquisition Technology-assisted literacy interventions Awards: CNRS Bronze Medal (prestigious French research award) Knight of the National Order of Merit (national honor) Leadership & Projects: He directs multidisciplinary teams at ILCB and CRPN labs, overseeing ANR-funded initiatives like the GraphoGame adaptation for French students and the 'Language, Communication, and the Brain' convergence institute.

Sahel Memariمشاهده پروفایل

پژوهشگر

• Biomechanics
• Human Movement Science
• Postural Control
• +۴ مورد دیگر

Sahel Memari is an Associate Researcher at Paris-Saclay University, Faculty of Science, specializing in biomechanics and human movement analysis. Dr. Memari's research focuses on the coordination between posture and voluntary movement in humans using a biomechanical approach that combines kinetic, kinematic, and electromyographic analysis. Specializes in analyzing anticipatory postural adjustments (APAs) Studies consecutive postural adjustments (CPAs) under various constraints Investigates simultaneous postural adjustments (SPAs) during movement execution Develops mechanical models to dissociate focal and postural movement components Uses experimental paradigms including forward stepping and upper limb pointing tasks Dr. Memari maintains an active research profile with an ORCID identifier (0000-0002-6148-6708) documenting their scholarly contributions in the field of movement biomechanics.

Stéphane Bessyمشاهده پروفایل

استاد

• Graph theory
• Directed graphs
• Algorithms
• +۱ مورد دیگر

Stéphane Bessy is a Professor of Computer Science at the University of Montpellier , serving as Director of the Computer Science Department within the Faculty of Sciences . He is a member of the Graph Algorithms and Combinatorics (AlGCo) team at LIRMM (Laboratory of Informatics, Robotics, and Microelectronics of Montpellier). His research focuses on graph theory, directed graphs, algorithms, and combinatorial optimization. Current teachings include Algorithmic 3, System, Algebra and Geometry, Probability and Statistics, Graphs and Structures, Graphs, Algorithms, Complexity, and Oral Preparation courses. His publications explore topics such as cycle packing in tournaments , exponential domination in graphs , Wiener index optimization , and degree-constrained graph partitions . His work often intersects algorithmic complexity and structural graph theory. Contact: Stephane.Bessy@lirmm.fr

• Intelligence Research
• Working Memory
• Cognitive Control
• +۶ مورد دیگر

Corentin Gonthier is a full Professor of Psychology at the University of Nantes, holding a prestigious position as a member of the Institut Universitaire de France (IUF). He conducts research at the Laboratoire de Psychologie des Pays de la Loire (LPPL) where he leads investigations into cognitive variability across development and individual differences. His research program explores three interconnected domains of high-level cognition: intelligence (particularly strategy use in reasoning tasks), working memory (focusing on strategic processes and measurement innovation), and cognitive control (examining developmental shifts from reactive to proactive control). Gonthier has developed significant expertise in psychometrics, creating adaptive cognitive assessments and innovative scoring methods like the edit distance approach for memory span tasks. With 54 peer-reviewed publications (46 in Q1 journals), Gonthier's work demonstrates consistent high-impact contributions across cognitive, developmental, and differential psychology. His recent publications (2023-2025) reveal continued productivity across multiple research streams, with particular emphasis on giftedness research, intelligence testing methodology, and cognitive development. Member of Institut Universitaire de France (IUF) Editorial board member for Journal of Experimental Psychology: Learning, Memory, and Cognition Editorial board member for Psychonomic Bulletin & Review Associate editor for L'Année Psychologique Over 150 peer reviews for more than 50 journals Gonthier actively supervises master's and doctoral students in research areas including cognitive development, intelligence, working memory, and high intellectual potential. His methodological expertise spans advanced statistical modeling (profile analysis, mixed models, GAM), psychometric test development, and innovative cognitive assessment approaches. The Laboratoire de Psychologie des Pays de la Loire provides the institutional context for his research program, which bridges theoretical cognitive psychology with practical applications in educational and clinical settings.

Lina Fernanda Guerrero Sastoqueمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Neuropsychology
• Psychology of Aging
• +۸ مورد دیگر

Lina Fernanda Guerrero Sastoque is an Associate Professor in Cognitive Psychology at Nantes University's Faculty of Psychology, where she teaches courses in cognitive psychology, neuropsychology, and the psychology of aging. She is affiliated with the Psychology Laboratory of Pays de la Loire (LPPL) and the Center for Research on Cognition and Learning (CeRCA), UMR CNRS 7295. Her academic background includes: Doctoral Thesis in Psychology (2020) from the University of Tours on "Cognitive and cerebral mechanisms associated with the maintenance of episodic memory and working memory during aging" Research Master's in Neuroscience, Cognition and Psychology (2016) from the University of Tours Psychology Diploma (2012) from the National University of Colombia (Bogota, Colombia) Professor Guerrero Sastoque's research focuses on understanding environmental and cognitive factors that impact memory functioning in older adults. Drawing from theoretical models in cognitive psychology and neuroscience, her work explores the cognitive mechanisms that contribute to modulating age-related memory decline. She is particularly interested in executive control and representation processes as protective resources against normal aging, as well as brain reorganization patterns and the impact of environmental factors like stereotype threat on memory performance in aging populations. Her research employs methodologies including event-related potentials (ERP), eye-tracking, and longitudinal study designs. Her recent publications demonstrate consistent research productivity with a strong focus on working memory capacity and neural correlates, episodic memory change over time, the role of metamemory and cognitive reserve, gender differences in autobiographical memory retrieval, and the impact of educational level and strategy use on memory performance. As a supervisor, Professor Guerrero Sastoque offers opportunities for students to engage in research on cognitive aging using advanced methodologies. Her lab environment emphasizes both theoretical understanding and practical research skills in cognitive neuroscience approaches to studying memory processes in aging populations.

• Mental imagery
• False memories
• Source monitoring
• +۴ مورد دیگر

Professor Frederique ROBIN is a cognitive psychology specialist at the University of Nantes' Faculty of Psychology, where she serves as Co-Head of the Master's program in Psychology of Cognitive and Clinical Disturbances (2P2C). As a full member of the Psychology Laboratory of Pays de la Loire (LPPL EA 4638), she leads research at the intersection of experimental cognitive science and clinical applications. Her research portfolio focuses on mental imagery mechanisms , false memory phenomena (particularly using DRM paradigms), source monitoring processes , and hypnosis-related cognitive effects . Notably, she investigates these processes in clinical populations including Alzheimer's patients, schizophrenia sufferers, and individuals with Korsakoff syndrome. Her work demonstrates how emotional content and cognitive-affective dysfunctions alter fundamental memory processes. Professor ROBIN's publication trajectory shows consistent high-impact output, with recent work advancing theoretical debates between classical cognitive and embodied cognition frameworks in memory research. Her 2022-2023 publications span experimental studies in Memory and Current Psychology to clinical investigations in Cognitive Neuropsychiatry, demonstrating methodological versatility across laboratory and clinical settings. Her professional development reflects deep clinical integration: Habilitation to Direct Research (2017) on 'Image, Language and False Memories' University Diploma in Neuropsychological Rehabilitation (Sorbonne University, 2021) Certified clinical hypnotherapist (CFHTB, 2016) Specialized training in eidetic imagery techniques (2014) As Co-Head of the 2P2C Master's program, Professor ROBIN bridges cognitive theory with clinical practice, supervising graduate research while maintaining an active laboratory investigating memory distortions and their therapeutic implications. Her work on hypnosis-memory interactions continues to inform both experimental paradigms and clinical interventions.

• 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.

• Cognitive Robotics
• Human-Robot Interaction
• Task and Motion Planning
• +۵ مورد دیگر

Rachid Alami is a Senior Scientist at CNRS and holds the Academic Chair of Cognitive and Interactive Robotics at the Artificial and Natural Intelligence Toulouse Institute (ANITI) since 2019. He has been with CNRS since 1984, founding and leading the Robotics and InteractionS (RIS) team at LAAS for 10 years and serving as head of the LAAS Robotics Department for 8 years. His extensive career includes coordinating LAAS's Ambient Intelligence initiative and co-chairing the Interactive Robotics SIG at the French Research Group in Robotics for 6 years. Professor Alami's research focuses on cognitive robotics with emphasis on human-aware motion planning , combined task and motion planning , and multi-robot coordination . His work integrates symbolic reasoning with geometric constraints to create robots capable of operating safely and effectively in human-centered environments. His team has made significant contributions to social navigation algorithms, theory of mind for robots, and human-robot joint action frameworks. Analysis of his recent publications shows a strong trend toward integrating cognitive models with practical robotics applications, particularly in developing robots that can anticipate human actions and adapt their behavior accordingly. His work increasingly incorporates machine learning approaches to predict action feasibility while maintaining the formal guarantees of traditional planning systems. Senior Scientist at CNRS since 1984 Academic Chair at ANITI since 2019 Founder of Robotics and InteractionS (RIS) team Former head of LAAS Robotics Department Member of numerous thesis committees including INSA Lyon (2023) Professor Alami actively supervises PhD students and leads multiple research projects focusing on human-aware robotics. His lab collaborates extensively with international partners through European research initiatives, providing students with opportunities for international exchanges and collaborative research. The lab maintains strong connections with industry partners to ensure research relevance to real-world applications. His research group, the Robotics and InteractionS team at LAAS-CNRS, develops advanced algorithms for human-robot interaction, with particular expertise in navigation systems that respect social norms, task planners that anticipate human actions, and multi-robot coordination frameworks for collaborative tasks in shared environments.