Find Academic Supervisors

Yves ANDRESView profile

Researcher

• Environmental Engineering
• Sustainability
• Renewable Energy
• +3 more

Yves ANDRES is the Head of the Department of Energy and Environmental Systems (DSEE) at IMT Atlantique's Nantes campus. His work focuses on sustainable environmental engineering solutions, particularly in air quality management, bio-based materials, and renewable energy systems. He leads interdisciplinary research addressing indoor environmental quality, waste valorization, and eco-efficient technologies. Research Interests: Dr. ANDRES specializes in optimizing bio-based insulation materials, indoor air purification systems, anaerobic digestion of organic waste, and eco-friendly wastewater treatment. His team develops innovative methods for converting agricultural byproducts into energy (e.g., bioethanol, biohydrogen) and advanced filtration technologies to mitigate airborne contaminants. Recent projects explore mold resistance in building materials and the environmental impact of material aging processes. Key Contributions: His work bridges fundamental research and industrial applications, with a focus on sustainable transitions. Notable areas include: Development of multifunctional air filters using graphene-enhanced ceramics Optimization of floating treatment wetlands for nitrogen removal Standardization of VOC/SVOC emission testing protocols Dr. ANDRES actively collaborates with industry partners to implement small-scale anaerobic digestion systems and promotes circular economy principles in building material design. His research emphasizes both technical innovation and policy-oriented sustainability assessments.

Dominique BechmannView profile

Professor

• Computer Graphics
• Geometric Modeling
• 3-D Interaction in Virtual Reality
• +3 more

Dominique Bechmann is a **Professor of Computer Science** at the University of Strasbourg, affiliated with the **Department of Computer Science** within the **Sciences Collegium**. He is also a researcher at the **ICube Lab** (UMR 7357 CNRS-University of Strasbourg). His academic career spans over three decades, including roles as Head of the IGG Computer Graphics and Geometry research group (1997–2022) and Head of the National Research Group GdR IG-RV (2014–2021). He holds a Habilitation (1995) and PhD (1989) from the University of Strasbourg, with postdoctoral research at IBM's Thomas Watson Research Center (1989–1990). His research focuses on **Computer Graphics**, **Geometric Modeling**, and **Virtual Reality**, with key contributions in free-form deformation, 3D modeling of anatomical structures, and interaction techniques in immersive environments. He has led projects like the ICT-Asian initiative on Virtual Reality (2004–2007) and organized conferences such as AFRV 2012 and AFIG-EG France 2005. His teaching spans undergraduate and graduate levels in algorithms, computer graphics, and computational geometry. Bechmann has held numerous leadership roles, including Head of the Computer Science Department (1997–2000), Vice-Head of LSIIT Lab (2009–2012), and member of the National Commission of Universities (CNU) section 27 (2007–2011). His work bridges theoretical computer graphics with practical applications in medicine, architecture, and collaborative systems.

DJEMAI MohamedView profile

Professor

• Control Theory
• Hybrid Systems
• Multi-Agent Systems
• +9 more

Dr. Mohamed Djemai is a Full Professor at École Nationale Supérieure de l'Électronique et de ses Applications (ENSEA), Cergy, and INSA Hauts-de-France. He is affiliated with the Quartz Laboratory (EA 7393) and LAMIH UMR CNRS 8201 at University Polytechnic Hauts-de-France. His research focuses on nonlinear control systems theory, with emphasis on hybrid and variable structure systems, sliding mode approaches, fault detection, and applications to power systems, robotics, and vehicle dynamics. IEEE Senior Member Associate Editor for Nonlinear Analysis: Hybrid Systems Co-Facilitator of National Working Group GT-SDH (2014–present) Member of IFAC-TC-1.3 (Discrete Event and Hybrid Systems) since 2001 Member of IFAC-TC-2.1 (Control Design) since 2005 His recent publications address fractional-order control of multiagent systems, stability analysis on time scales, fault-tolerant satellite attitude control, and robust consensus algorithms for nonlinear systems. Key methodologies include sliding mode control, event-triggered control, and observer-based fault detection. Current teaching activities encompass diagnostics, linear systems, signal processing, and sensor conditioning. The trend in Dr. Djemai's research since 2022 involves advanced control strategies for cyber-physical systems, distributed fault detection mechanisms, and time scale theory applications to intermittent communication problems. Notable collaborations include work with Michael Defoort, Stefano Di Gennaro, and international institutions like Kyungpook National University and University of Reims. Scientific contributions include: IEEE Senior Member recognition Development of robust exact filtering differentiators Innovations in fixed-time consensus protocols Leadership in IFAC technical committees Editorial role in hybrid systems analysis His laboratory work at Quartz and LAMIH supports applications in aerospace systems, renewable energy conversion, and industrial risk management architectures.

Mario AlvianoView profile

Professor

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Combinatorial Search and Optimization
• +5 more

Mario Alviano is a Full Professor in Computer Science (INF/01) at the University of Calabria, Department of Mathematics and Computer Science. He leads the LAIA lab (Laboratorio di Applicazioni dell'Intelligenza Artificiale) and serves as co-PI in the PRIN project PRODE ('Probabilistic Declarative Process Mining'). Current projects: FAIR ('Future AI Research'), Tech4You ('Technologies for climate change adaptation'), SERICS ('SEcurity and RIghts in the CyberSpace'), CAL.HUB.RIA , RADIOAMICA , and STROKE 5.0 His research focuses on Answer Set Programming (ASP), particularly in optimization, nonmonotonic reasoning, and applications to logistics, healthcare, and cybersecurity. He has authored over 120 publications in top venues like AIJ, AAAI, and IJCAI. Recent academic contributions includes work on: Temporal Many-valued Conditional Logics Weighted Knowledge Bases with Typicality Explainable AI via xASP and ASP Chef Defeasible Reasoning Scalability Notable awards: Artificial Intelligence Award 'Marco Somalvico' (2017) ICLP Best Paper Awards (2015, 2016) LPNMR Best Paper Award (2022) CILC Best Paper Award (2023)

Vennapusa Sivaranjana ReddyView profile

Associate Professor

• Theoretical Chemistry
• Computational Chemistry
• Photochemistry
• +5 more

Dr. Vennapusa Sivaranjana Reddy is an Associate Professor in the Department of Chemistry at the School of Chemistry, Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM). With a career spanning theoretical and computational chemistry, her research focuses on ultrafast excited-state intramolecular proton transfer (ESIPT), intersystem crossing (ISC), and triplet state formation in organic molecules. She leads a dynamic research group investigating these phenomena through quantum molecular simulations and computational techniques. Education: M.Sc. and Ph.D. from the University of Hyderabad (2003-2010); B.Sc. from Government Arts College, Kadapa (2000-2003). Professional Experience: Associate Professor (2022–present) and Assistant Professor (2013–2022) at IISER TVM; postdoctoral fellowships at Nagoya University (Japan), Heidelberg University (Germany), and CSIR-HRDG/SERB-funded projects. Her research group explores ESIPT mechanisms in 5- and 6-membered proton transfer cycles, ultrafast ISC pathways in naphthalene and pyrene derivatives, and triplet formation in ESIPT tautomers. The 15 most recent articles highlight her expertise in designing optoelectronic materials, fluorescent probes for H2S detection, and computational modeling of spin-vibronic dynamics. She has secured significant grants from CSIR and SERB and collaborates with institutions across India and abroad. Her students have received prestigious PMRF fellowships and presented award-winning work at international conferences. Scientific Awards: Early Career Research Award (SERB, 2016), Alexander von Humboldt Postdoctoral Fellowship, GATE-2005 (All India Rank 6), UGC-CSIR qualification, and merit scholarship during M.Sc. Dr. Reddy’s group utilizes advanced computational tools like GAUSSIAN 09, TURBOMOLE 7.4, and MCTDH for electronic structure calculations and quantum nuclear dynamics. She mentors Ph.D. students and alumni, including those now at institutions like the University of Vienna and Ludwig-Maximilians-Universität München. Her teaching portfolio includes courses in physical chemistry, quantum chemistry, and computational methods.

• Explainable Artificial Intelligence
• Machine Learning
• Data Clustering
• +4 more

Nicolas Labroche serves as a Researcher in the Department of Computer Science at the Polytechnic School of the University of Tours. He is affiliated with the Fundamental and Applied Computer Science Laboratory of Tours (LIFAT) within the UFR of Sciences and Technology. His academic work spans multiple research domains with significant contributions to machine learning methodology and applications. His primary research focuses on Explainable Artificial Intelligence , particularly for medical applications where model interpretability is critical. He has pioneered methods in clustering of local attributive explanations and discernibility in medical ML models . Additional expertise includes exploratory data analysis through mathematical programming for comparison queries, time series forecasting for environmental monitoring, and preference-based explanations in recommender systems. His work bridges theoretical computer science with practical applications in healthcare, environmental science, and business intelligence. Analysis of his publication trends reveals consistent innovation in making data exploration more efficient and interpretable. Recent work emphasizes user-centric explainability (2024-2025), mathematical optimization for analytics (2022-2023), and synthetic data generation (2022). His research demonstrates strong interdisciplinary connections between computer science, medicine, and environmental science. His laboratory affiliation with LIFAT provides the infrastructure for his computational research. While specific grant details aren't public, his publication record indicates sustained research productivity across multiple European-funded projects focused on data science applications.

Thibault TricardView profile

Associate Professor

• Computer Graphics
• Procedural Modeling
• 3D Printing
• +5 more

Thibault Tricard is an Associate Professor at Ensimag Grenoble and a permanent researcher in the Maverick team at Inria Grenoble. His work bridges Computer Graphics and Additive Manufacturing , focusing on procedural methods for virtual world content generation. His research interests include: Procedural modeling for surface and microstructure details Mesh shaders and GPU-accelerated volume rendering 3D printing optimization with staggered infill structures Recent publications like Interval Shading (HPG 2024) and Procedural Phasor Noise (ACM Siggraph 2020) highlight trends in real-time rendering and fabrication-aware procedural synthesis. Awards include the GDR IG-RV Thesis Award 2023 . He advises PhD students and collaborates with researchers such as Sylvain Lefebvre and Hans-Peter Seidel. Teaching includes GP-GPU High-Performance Computing and 3D Graphics at Inp Grenoble and UGA Mosig. Personal projects like the LavaCake Vulkan library emphasize developer accessibility.

Didier TheilliolView profile

Professor

• Fault Tolerant Control
• Control Engineering
• Aerospace Systems
• +3 more

Didier Theilliol is a Professor of Control Engineering at the University of Lorraine, France, since 2004. He holds a Ph.D. in Control Engineering from Nancy-University (1993). He was awarded the CAS Visiting Professorship by the Chinese Academy of Sciences (CAS) in 2012, during which he collaborated with the Shenyang Institute of Automation (SIA) on flight control and fault-tolerant systems. His research focuses on model-based fault diagnosis (FDI), fault-tolerant control (FTC) for complex systems, and reliability analysis, with applications in aerospace, industrial automation, and robotics. Education: Ph.D. in Control Engineering (Nancy-University, 1993). Research interests include advanced control strategies for linear and nonlinear systems, multi-agent coordination, and safety-critical applications. His work integrates theoretical advancements with practical implementations across industries such as steel production, wastewater treatment, and aerospace. Notable contributions include methodologies for degradation management, distributed observer design, and health-aware control. Recent article trends emphasize fault-tolerant control in multi-agent systems, reinforcement learning for safety-critical tasks, and integration of physics-informed neural networks for system modeling. His publications span topics from model-based diagnostics to real-world applications in UAVs and propulsion systems. Awards: CAS Visiting Professorships for Senior International Scientists (2012). Collaborations include co-working with SIA’s rotorcraft UAV project team and leading European R&D initiatives. He serves as Associate Editor for ISA Transactions and Unmanned Systems , and chairs conferences on fault-tolerant control systems. His research also extends to Bayesian networks for system reliability and particle filter-based prognostics in industrial settings. Labs/Teams: Active in the State Key Laboratory of Robotics (visited during his CAS tenure) and coordinates projects within the German-French Institute for Automation and Robotics.

• Artificial Intelligence
• Collaborative Robotics
• Human-Machine Interaction
• +3 more

Madeleine EL ZAHER is a Researcher-Lecturer at CESI, affiliated with the Engineering and Numerical Tools research team. Her work focuses on Artificial Intelligence, Collaborative Robotics, Human-Machine Interaction, and Multi-Agent Systems. She holds a PhD in Computer Sciences from the University of Technology of Belfort-Montbéliard (2013) and a Master’s degree in Computer Sciences and Telecommunications from Paul Sabatier University (2010). Teaching responsibilities include Computer Sciences and Electronics at the Engineering program level, emphasizing project-based learning and training through research. She co-supervises PhD students in industrial robotics and cyber-physical systems, including Abdessalem ACHOUR (defending in 2024) and Badra Souhila GUENDOUZI (defending in 2025). Her research spans semantic mapping in mobile robotics, federated learning for industrial systems, and platooning algorithms for autonomous vehicles. Notable publications include work on semantic mapping with 3D models (2024), federated learning frameworks using genetic algorithms (2023), and verification of platooning systems (2012–2015). No scientific awards are explicitly listed, but her contributions reflect impactful work in autonomous systems and robotics. Grants and lab affiliations are not detailed in the provided text, though her team’s research aligns with CESI’s focus on engineering and numerical tools.

Thomas J. SantnerView profile

Professor

• Design of Experiments
• Computer Simulations
• Statistical Selection and Screening
• +3 more

Thomas J. Santner is a Professor in the Department of Statistics at Ohio State University. His research focuses on experimental design, particularly in integrating computer simulations with physical experiments. He co-authored influential books including *The Design and Analysis of Computer Experiments* (Springer, 2019) and *The Design and Analysis of Experiments for Statistical Selection, Screening, and Multiple Comparisons* (Wiley, 1995). His work bridges statistics and engineering, addressing challenges in prosthesis design, biomedical systems, and industrial processes. Notably, he collaborates with the Hospital for Special Surgery on bone-implant systems and biomaterials research. Education: Ph.D., Purdue University, 1973. Research interests include: Computer experiments and hybrid simulation-physical experimentation Statistical selection and screening methodologies Applications in biomedical engineering and manufacturing optimization Uncertainty quantification in finite element models Recent work emphasizes optimizing complex systems through calibrated simulators, with applications in injection molding processes and joint replacement design. His articles demonstrate methodological contributions to design efficiency, sensitivity analysis, and multiobjective optimization. Prior roles include former Director of the Department of Statistics' Consulting Service and former Department Chair at Ohio State University.

Pierre RenaudView profile

Professor

• Medical and Surgical Robotics
• Robotics
• Mechatronics
• +5 more

Pierre Renaud is a Professor at INSA Strasbourg and Deputy Director of the ICube laboratory, specializing in Medical and Surgical Robotics, Mechatronics, and Additive Manufacturing. His research focuses on developing advanced robotic systems for healthcare applications, including surgical robots, compliant mechanisms, and MRI-compatible devices. He leads projects such as SPIRIT (multi-material additive manufacturing for medical robotics) and contributes to national initiatives like TIRREX and LABEX CAMI. Education: PhD in Mechanics from Université Clermont-Auvergne (2003), M.Sc. from ENS Cachan (1998), and Agrégation in Mechanical Engineering (1999). Visiting Associate Professor at Stanford University (2010–2011) as a Fulbright Fellow. Research Themes: Mechatronics for medical robotics, compliant systems, additive manufacturing integration, and tensegrity-based robots. Collaborates with IHU Strasbourg for surgical technology development and Axilum Robotics for industrial applications. Key Projects: Robotic assistance for interventional radiology, magnetic elastography, and beating heart surgery. Active in international collaborations (e.g., ANR, H2020 ITN ATLAS). Labs/Teams: Head of the Robotics, Data Science, and Healthcare Technologies group at ICube. Engaged in Equipex IRIS and ROBOTEX platforms for robotic innovation.

Magnus MadsenView profile

Associate Professor

• Programming Languages
• Compilers
• Type and Effect Systems
• +7 more

Magnus Madsen is an Associate Professor at Aarhus University, Department of Computer Science. He leads the development of the Flix programming language, a declarative tool integrating logic, functional, and imperative features with Java interoperability. His work spans type and effect systems, program analysis, and JavaScript bug-finding tools, particularly for asynchronous applications. Academic Affiliation: Aarhus University (Denmark) Leadership: Flix Programming Language Magnus's research focuses on programming language design, type systems, and static/dynamic analysis. This includes Datalog constraints, polymorphic effects, and nullability frameworks. His contributions to JavaScript analysis address asynchrony and concurrency challenges. Key trends in his work include declarative program analysis, effect system design, and Datalog-based frameworks like IFDS/IDE. Recent papers explore rank-polymorphic function inference, purity reflection, and stratification in logic programming. Scientific awards include: Sapere Aude grant (2023) Dahl-Nygaard Junior Prize (2022) STEM Grant (2022) Amazon Research Award (2021) DFF Project One (2020) ECOOP 2023 Distinguished Paper ICSE 2016 Distinguished Paper Current PhD students advised: Jonathan Lindegaard Starup, Matthew Lutze, Andreas Stenbæk Larsen (co-advised with Aslan Askarov), Caroline Palma Berger (co-advised with Clemens Nylandsted Klokmose).

Sophie BouchouleView profile

Researcher

• Semiconductor Optoelectronics
• Photonics
• Micro-Nanotechnology
• +3 more

Sophie Bouchoule is a CNRS Senior Researcher (DR) affiliated with the Centre for Nanoscience and Nanostructures (C2N) at Paris-Saclay University. She serves as deputy director of the doctoral school EOBE (Electrical, Optical, and Bio-Engineering) and coordinates the C2N-RENATECH Micro-Nano Fabrication Facility since 2018. Her career spans high-speed semiconductor lasers, polariton lasers, and III-V optoelectronic device development. Her research focuses on III-V semiconductor integrated light sources (ELISE group), including vertical-cavity surface-emitting lasers (VCSELs), polariton lasers, and micro-nanophotonic technologies. She specializes in inductively coupled plasma etching, quantum dash active regions, and hybrid semiconductor-organic microcavities. Recent publications highlight her work on polariton condensation, tunable VCSELs, and microcavity engineering. Her collaborations span institutions like Institut Pascal, CRHEA, and LASMEA. She has secured industrial R&D contracts and held leadership roles in cleanroom facilities and scientific advising. With over 130 peer-reviewed articles and 25+ invited conference talks, her contributions to photonics and optoelectronics are extensive. She mentors doctoral students through EOBE and drives advancements in micro-nano fabrication methodologies.

Rudina BletaView profile

Associate Professor

• Heterogeneous Catalysis
• Materials Chemistry
• Environmental Applications
• +3 more

Rudina Bleta is an Associate Professor at the University of Artois , specializing in the synthesis of nanostructured porous materials via soft chemistry routes. Her research focuses on heterogeneous catalysis for environmental and energy applications. Education : B.Sc. in Physical-Chemistry, University of Bordeaux (2002) M.Sc. in Materials Chemistry, University of Bordeaux (2004) Ph.D. in Molecular Physical-Chemistry, University of Nancy (2007) Research Interests encompass cyclodextrin-based supramolecular assemblies for designing functional materials, with applications in air purification, corrosion inhibition, and sustainable energy. She has contributed to heterogeneous catalysts for biodiesel production, VOC degradation, and biomass conversion. Recent Publications highlight her expertise in cyclodextrin-templated mesoporous materials, enzymatic nanoreactors, and photocatalytic systems for pollutant removal. Key trends include tailoring pore structures, integrating biomolecules into inorganic matrices, and optimizing catalytic performance through nanostructuring. Labs & Teams : Affiliated with the Supramolecular Catalysis Team at UCCS Artois, collaborating with institutions like CNRS and Université Paul Sabatier Toulouse III on aerospace and environmental projects.

Imen BahriView profile

Researcher

• Control Systems
• Electrical Engineering
• Power Electronics
• +3 more

Imen Bahri is a researcher at the Laboratory of Electrical and Electronic Engineering of Paris (GeePs) , specializing in control systems for electromagnetic and power electronic devices. Her work focuses on vibration reduction, efficiency optimization, and sensorless control strategies for electric machines like switched reluctance machines (SRMs) and permanent magnet synchronous machines (PMSMs). Research Interests include: Robust control methods (H-infinity, RST controllers) Intermittent control for automotive applications Sensorless performance enhancement DC microgrid voltage regulation Recent publications address vibration suppression via HW/SW partitioning, torque pulsation in electric vehicles, and FPGA-based fault-tolerant systems. She collaborates with institutions like Université de Lorraine and IEEE on modeling, simulation, and industrial electronics.