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Xinyu Wang is an assistant professor in the Computer Science and Engineering Department at the University of Michigan, Ann Arbor. Their research focuses on program synthesis, formal methods, programming languages, and AI-assisted programming. They previously worked as a researcher at Microsoft and earned their PhD from the University of Texas at Austin. Current affiliation: University of Michigan (College of Engineering) Education: PhD in Computer Science from University of Texas at Austin Research interests center on AI-assisted programming and program synthesis, combining formal methods, programming languages, AI/ML, and human-centered computing. Key areas include optimizing database queries, neuro-symbolic automation, and synthesis-aided software systems for diverse domains. Recent publications span SQL optimization (2025–2024), web automation (2023–2022), and synthesis algorithms (2021–2020). Work addresses scalability, domain-specific insights, and formal reasoning techniques for complex workloads. Scientific awards include: Distinguished Paper Award at OOPSLA 2024 Best Paper Nomination at VLDB 2024 Best Paper Honorable Mention at UIST 2022 Distinguished Paper Award at OOPSLA 2020 Advises PhD students and postdoctoral fellows in program synthesis and AI-assisted systems. Serves on program committees for PLDI, POPL, and OOPSLA. Develops synthesis-aided tools for database optimization, web automation, and computational science.

• Programming Languages
• Formal Methods
• Software Engineering
• +7 more

Daniel W. Barowy is an Associate Professor in the Department of Computer Science at Williams College . His research focuses on programming languages , particularly end-user programming , crowdsourcing , and spreadsheet debugging . He integrates program analysis with statistical techniques to improve software usability and robustness. Current affiliations: Williams College (2017-present) Education: University of Massachusetts Amherst (PhD, 2017) His research explores language abstractions for human-computer integration , with notable projects like ExceLint (spreadsheet error detection), FlashRelate (spreadsheet data extraction), and Riker (incremental build systems). He emphasizes artifact verification , securing PLDI 2015 Distinguished Artifact Award and USENIX ATC 2022 Best Paper . Recent publications demonstrate trends in spreadsheet reliability , crowdsourcing frameworks , and scalable educational tools . He has received "Artifact Verified" badges for multiple projects and actively contributes to software tool development , including AutoMan , ExceLint , and CheckCell . USENIX ATC 2022 Best Paper PLDI 2015 Distinguished Artifact Award Multiple "Artifact Verified" badges As an educator, he teaches CSCI 334: Principles of Programming Languages and CSCI 331: Computer Security . His work bridges theoretical PL research with practical applications in spreadsheet programming and crowdsourcing platforms .

• Programming Languages
• End-User Programming
• Spreadsheet Debugging
• +5 more

Philippe Amiotte-Suchet is an Assistant Professor in Earth and Environmental Sciences at the University of Burgundy. He holds an HDR (Habilitation à Diriger des Recherches) from the same institution (2009) and a PhD from Louis Pasteur University (Strasbourg, 1994). His research focuses on riverine carbon fluxes to oceans, biogeochemical cycles, climate impacts on water systems, and weathering processes. He has coordinated major projects like HYCCARE (GICC program) and led regional studies on dissolved organic matter dynamics in the Morvan region. His teaching includes hydrology, geochemical modeling (Vensim), and stable isotope analysis. Education: HDR (2009): Production and transfer of carbon in hydrological systems, University of Burgundy PhD (1994): Carbon cycle and continental chemical erosion, Louis Pasteur University Post-Graduate qualification (1989): Earth Surface Geochemistry, Strasbourg Research Interests: His work integrates field observations, isotopic tracing, and numerical modeling to understand carbon dynamics across temporal and spatial scales. Key themes include: Carbon fluxes in temperate ecosystems Climate change effects on hydrological systems Multi-proxy analysis of sedimentary archives Anthropogenic impacts on water quality Current projects explore organic matter dynamics in low-impacted ecosystems with international collaborators like James Cook University. Professional Activities: He served as Deputy Head of the Earth and Environmental Science Department (2001–2004) and coordinates the SEDS research group. His projects often involve partnerships with agencies like Agence de l’Eau Seine-Normandie. Recent outputs include studies on paleoenvironmental reconstructions (e.g., Late Campanian Event) and desertification risk mapping in insular regions. Labs & Teams: Amiotte-Suchet is affiliated with the SEDS group (Sédimentologie, Écoulements, Dépôts et Systèmes) at the University of Burgundy’s Biogéosciences laboratory.

• Biogeochemical cycles
• Carbon cycle dynamics
• Riverine carbon fluxes
• +3 more

Pascal Corbel is a Full Professor of Management at Université Paris-Saclay, specializing in strategic management of innovation and intellectual property rights. He holds leadership roles including Director of the Graduate School of Economics and Management and coordinates entrepreneurship initiatives at the university. His research focuses on innovation strategies, IP management, and entrepreneurship, with notable works on patent strategies, open innovation, and technology standards. He has extensive administrative experience, including Vice-President for Enterprise Relations at Université Paris-Sud (2016–2019) and leadership roles in academic entrepreneurship programs like the Paris-Saclay Entrepreneurship Pole (PEIPS). Corbel teaches across multiple levels (Bachelor’s to Master’s) in strategy, innovation management, and entrepreneurship, emphasizing practical applications in technology and business. His publications span over 100 articles, books, and conference contributions, addressing topics like SME innovation, IP policy, and strategic alliances. Education: Holds a doctorate and habilitation in management sciences from Université Paris-Saclay. His research integrates theoretical frameworks with empirical studies, often using case studies in industries such as automotive, pharmaceuticals, and software. Teaching spans management strategy, IP law, and entrepreneurial ecosystems, reflecting his interdisciplinary approach to innovation studies. Research interests include the strategic use of intellectual property, innovation diffusion, and the interplay between tradition and innovation. His work bridges academic and industry collaboration, exploring how firms leverage IP for competitive advantage. Recent publications analyze responsible AI adoption in SMEs and the ethical dimensions of innovation rent capture. Awards and grants: While no specific awards are listed, his extensive contributions to academic entrepreneurship and IP policy reflect sustained institutional recognition. He has coordinated national and international research projects, including those on open innovation and IP strategy in SMEs. Labs and teams: Active in the Paris-Saclay academic network, contributing to interdisciplinary innovation initiatives and entrepreneurship support through institutional programs like the Diplôme d’Entrepreneur (D2E).

• Strategic Management of Innovation
• Intellectual Property Rights
• Entrepreneurship
• +4 more

Mardale Alexandru is a University Professor at Inalco , affiliated with the Europe Department and the SeDyL research center. His work focuses on the syntax–semantics–discourse interface, particularly in heritage Romanian contexts, differential object marking, and the grammaticalization of prepositions in Romance languages. Research Interests: His expertise spans heritage language acquisition, linguistic expression of displacement, and modality in Romanian. He examines how language contact and reduced input affect syntactic structures, with a strong emphasis on grammaticalization processes and case-preposition interactions. 2024-2023 publications highlight his work on heritage Romanian in France, differential object marking, and clitic doubling. 2022-2003 contributions explore complex prepositions, animacy effects, and diachronic changes in Romanian syntax. Administrative Roles: He serves as Head of Romanian Studies and Educational Manager of the cross-disciplinary Linguistics course (LGE) at Inalco. He holds key positions in institutional governance, including membership in the Scientific Council and Research Commission.

• Heritage Languages
• Syntax-Semantics-Discourse Interface
• Differential Object Marking
• +4 more

Thomas Schatz is an Assistant Professor at Aix-Marseille University, investigating intelligence across humans, animals, and machines. His research emphasizes how human infants learn to perceive their environment, particularly speech, and how these biological processes can inspire the design of cost-effective, advanced artificial learning systems. Fields of Interest: Cognitive Science, Artificial Intelligence, Developmental Psychology, Speech Perception, Machine Learning, Computational Neuroscience Recent Work: Schatz's 2021 publication on phonetic learning in infants, using large-scale simulations of realistic input, highlights the intersection of cognitive modeling and machine learning. This work underscores cross-disciplinary approaches to understanding perception and advancing AI systems.

• Cognitive Science
• Artificial Intelligence
• Developmental Psychology
• +3 more

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.

• Performance Evaluation
• Optimization
• Discrete Event Dynamic Systems
• +5 more

Lisa Ciadamidaro is a Lecturer at the UMR 6249 Chrono-environment unit of the University of Franche-Comté (France). Her research focuses on the dynamics of Trace Elements (TE) and Persistent Organic Pollutants (POP) in soil-plant-microorganism systems. Key areas include biogeochemical process identification, remediation strategies using physiological and molecular tools, and long-term management of contaminated soils through phytomanagement approaches. Projects: ECOPOLIS, COSMiC, SIRAM, EDAPHOS Collaborations: with international researchers (Switzerland, China, Serbia, Czech Republic) Her work integrates mycorrhizal inoculation to enhance poplar biomass production on contaminated sites, with studies on associated fungal diversity and bioremediation efficiency . Recent publications emphasize trace element bioavailability, poplar microbiome analysis, and marginal land rehabilitation strategies. She actively participates in conferences (e.g., SETAC, ICOBTE, International Phytotechnologies Conference) and contributes to book chapters on phytoremediation.

• Phytoremediation
• Trace Elements
• Soil-Plant Interactions
• +5 more

AIMONETTI serves as a Lecturer affiliated with the MULTISENSE & BODY research team. Research focuses on multisensory integration mechanisms and body-related perceptual processes within cognitive neuroscience, specifically examining how sensory inputs converge to shape bodily awareness and environmental interaction. Key research domains include: Multisensory Processing Body Perception Cognitive Neuroscience Sensory Integration Embodied Cognition

• Multisensory Processing
• Body Perception
• Cognitive Neuroscience
• +2 more

Raphael Mizzi serves as a Lecturer with primary research involvement in the interdisciplinary team Sense - Movement - Perception . His academic focus centers on: Sensory Systems neuroscience and processing mechanisms Motor Control principles in movement generation Perceptual integration of sensory inputs This research collective examines neural and cognitive frameworks underlying sensorimotor functions, emphasizing experimental approaches to embodied cognition and perceptual-motor coordination without specified institutional context.

• Sensory Systems
• Motor Control
• Perception

ZENNOU-AZOGUI Yoh'i serves as a Lecturer affiliated with the MULTISENSE & BODY research team. Research interests appear centered around multisensory processing and body perception mechanisms , likely investigating how visual, auditory, tactile and proprioceptive inputs integrate to form coherent bodily awareness and environmental perception. This field intersects cognitive neuroscience, psychology, and human-computer interaction. The MULTISENSE & BODY research team suggests specialized work in experimental paradigms examining cross-modal sensory integration and embodiment phenomena. No scientific awards or major recognitions are mentioned in available information. As a Lecturer, ZENNOU-AZOGUI would be responsible for teaching duties though specific courses are not documented. The affiliation with MULTISENSE & BODY indicates active research involvement despite absence of publication details.

• Multisensory Integration
• Body Perception
• Sensory Systems

Professor Ahmed El Hajjaji is a full Professor at the University of Picardy Jules Verne, where he serves as Director of the Doctoral School of Sciences, Technology and Health (ED STS). He is affiliated with the Faculty of Sciences and works in the Department of Electronics, Electrical Engineering, and Automation. Professor El Hajjaji leads the Control & Vehicle (COVE) research team at the Modeling, Information and Systems Laboratory (MIS). His academic leadership includes: Director of the Electronics, Electrotechnics and Automation Department since October 2008 Director of the Professional University Institute of Electrical Engineering and Industrial Computing since June 2006 Head of the Control & Vehicle (COVE) team at the MIS Laboratory since 2000 Holder of the Doctoral and Research Supervision Bonus since 1999 Professor El Hajjaji's research focuses on automatic control systems with applications to automotive engineering and electrical energy systems. His work spans theoretical control theory development and practical implementation in vehicle dynamics, fault diagnosis, and power electronics. He has made significant contributions to areas including: Model reduction techniques for complex systems Sliding mode and adaptive control approaches Fault-tolerant control systems Applications of fractional calculus to control engineering Energy management for electric and hybrid vehicles His publication record shows consistent output with numerous articles from 2023-2025 in high-impact journals including IEEE Transactions, IET Control Theory and Applications, and Journal of Computational and Applied Mathematics. His research demonstrates a strong connection between theoretical control advancements and practical engineering applications, particularly in automotive systems. Professor El Hajjaji actively supervises research through his COVE team and as Director of the Doctoral School, providing opportunities for students interested in control systems engineering and its applications.

• Automatic Control
• Vehicle Control Systems
• Electrical Energy Systems
• +5 more

Guillaume Mercere is a Full Professor in Automatic Control and Systems at ENSIP (Ecole Nationale Supérieure d'Ingénieurs de Poitiers), University of Poitiers. He maintains dual affiliations with Laboratory LIAS at both ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil, conducting research in system identification and control theory. Professor Mercere teaches automatic control and signal processing at the Master's level, with additional expertise in numerical optimization, machine learning, and time series analysis. His teaching materials are available upon request, reflecting his commitment to educational transparency. Research Focus: Model learning, system identification, estimation theory, state space modeling, gray box modeling, linear parameter varying (LPV) systems, linear fractional representation (LFR), and subspace-based methods Application Areas: Electrical engineering, aeronautics, heat transfer, flexible/cable-driven manipulators, vehicle tire/road interactions, and image processing Analysis of his recent publications reveals a strong emphasis on recursive estimation methods (particularly total least squares), theoretical developments in LPV system representations, predictive control methodologies, and noise covariance estimation for Kalman filtering. His work bridges theoretical advances in identification methodologies with practical applications across multiple engineering domains, demonstrating both depth and breadth in his research program. Professor Mercere leads the Automatic Control Team at Laboratory LIAS, where he collaborates with researchers on theoretical and applied projects. His research group focuses on developing identification methodologies with practical implementation in real-world engineering systems, maintaining an active publication record through 2025 that demonstrates ongoing contributions to the field of system identification and control engineering.

• System Identification
• Model Learning
• Automatic Control
• +6 more