جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Deep Learning
• Signal and Image Processing
• +۱۲ مورد دیگر

BOHI Amine is a researcher at CESI (School of Engineering and Digital Tools, Department of Computer Science), with a PhD in Computer Science from the University of Toulon (2017). His academic profile spans disciplines including Machine Learning, Signal and Image Processing, and Biomedical Engineering, with a focus on applications in Digital Health and Human-Robot Interaction. Education : PhD in Computer Science (University of Toulon, 2013-2017); Master 2 in Computer Science (University of Fes, Morocco, 2009-2011); Bachelor’s in Mathematical and Computer Sciences (University of Fes, 2006-2009). His research interests include: Machine Learning and Deep Learning Signal and Image Processing 3D Shape Analysis Computer Vision Digital Health Biomimetic Feature Design BOHI’s publications reflect expertise in facial emotion recognition for elderly care, cortical folding modeling, and soft tissue organ deformation analysis using MRI. He supervises diverse research internships, mentoring students from institutions like Sorbonne Paris Nord, Université de Technologie King Mongkut, and INP Grenoble. Current projects involve developing intelligent solutions for emotional interaction with elderly individuals suffering from neurodegenerative disorders, in collaboration with VyV3 Bourgogne. He also contributes to the design of multimodal datasets and wearable health monitoring systems. BOHI’s technical work includes contributions to maritime surveillance systems (PARE project) and semantic information platforms, demonstrating a capacity to bridge theoretical research with practical applications across domains.

• Robotics
• Control Systems
• Unmanned Aerial Vehicles
• +۳ مورد دیگر

Pascal Morin serves as a University Professor at Sorbonne University within the Faculty of Science and Engineering. He is an active member of the ASIMOV research team at the Intelligent and Robotic Systems Institute (ISIR), located at 4 Place Jussieu in Paris. His office H17 serves as the base for his research activities in advanced robotics and control systems. Professor Morin's research focuses on cutting-edge robotics applications, particularly in unmanned aerial vehicle navigation and control systems. His work spans nonlinear control theory, visual servoing techniques, and micro air vehicle development. Key interests include homography estimation for image stabilization, thermal anemometry for airflow sensing, and obstacle avoidance algorithms for precision robotics. His publications demonstrate consistent innovation in combining theoretical control frameworks with practical robotic implementations. Analysis of his 15 most recent publications reveals strong thematic continuity in UAV navigation systems, with increasing integration of deep learning techniques since 2020. His work consistently addresses GPS-denied environments and sensor fusion challenges, with notable contributions to thermal-based odometry and visual-inertial navigation systems. The research trajectory shows progression from theoretical control frameworks toward increasingly complex real-world applications including power line inspection and microscopy manipulation. Professor Morin actively collaborates with major aerospace institutions including ONERA and DLR, as evidenced by his participation in the EuRoC challenge. His editorial work on MAV navigation special collections demonstrates leadership in the micro air vehicle research community. While specific grant details aren't provided in the source material, his sustained publication output across multiple high-impact journals indicates successful funding acquisition. As a core member of the ASIMOV team at ISIR, Professor Morin contributes to Sorbonne University's leadership in robotics research. The team maintains strong industry connections through publications in Aerospace Lab and collaborations with organizations like AIAA. Current research directions appear focused on thermal sensor integration for MAVs and nonlinear control solutions for challenging operational environments.

• Operations Research
• Decision Analytics
• Supply Chain Management
• +۵ مورد دیگر

Laurent ALFANDARI is a Full Professor at ESSEC Business School, specializing in Operations Research and Decision Analytics within the Information Systems, Decision Sciences and Statistics (IDS) Department. He has held key academic roles including Academic Co-Director of the ESSEC-CentraleSupélec Master in Data Sciences & Business Analytics (2019–2023) and Coordinator of the Operations & Data Analytics PhD concentration (2018–2021). His research focuses on optimization techniques applied to supply chains, logistics, healthcare, and disaster preparedness. He has authored over 50 journal articles in top venues like European Journal of Operational Research and Transportation Science. Education : - Doctorate in Operations Research (Université Paris Dauphine-PSL, 1999) - Master of Research in Management Science (Université Paris Dauphine-PSL, 1995) - M.Sc in Management (ESSEC Business School, 1993) - Bachelor in Mathematics & Social Sciences (Université Paris Dauphine-PSL, 1990) Research Interests : His work addresses complex optimization challenges in urban logistics, healthcare networks, and disaster response. Notable contributions include freight-on-transit systems, autonomous robot delivery, and pandemic intervention sequencing. He emphasizes practical solutions for real-world problems through mixed-integer programming and robust optimization frameworks. Teaching & Mentoring : Teaches Decision Analytics and Operations Research across ESSEC programs (Grande École, Executive MBA, PhD). Supervised 14 PhD theses, including recent works on sustainable last-mile deliveries and healthcare analytics. Awards & Activities : 2020 ESSEC Top 4 Teaching Award, Vice-President of ROADEF (2012–2015), and leader in industrial collaborations with SNCF and Aid-Impact. Active in organizing academic conferences and serves as a journal reviewer for Annals of Operations Research and others. Labs & Collaborations : Member of LIPN (Sorbonne Université) and LAMSADE (Paris Dauphine). Consults for organizations like Babcock-Wanson and contributes to public-sector projects like EDF's ROADEF challenge.

• Electromagnetic Compatibility (EMC)
• Electrical Engineering
• Embedded Systems
• +۳ مورد دیگر

Fabrice Duval is a Researcher-Lecturer and Head of the Technical Research and Transfer Platform at CESI. He holds a Habilitation to supervise research from Rouen University (2016) and a PhD in Electrical Engineering from Université Paris-Saclay (2007). His research focuses on Industrial Performance Optimization, Electromagnetic Compatibility (EMC), and robotics-driven manufacturing systems. He leads the 'Engineering and Numerical Tools' research team and manages the CESI FabLab. His educational activities include teaching Electromagnetism, Electricity, and Embedded Systems to engineering students (1st/2nd years and masters). He has supervised numerous PhD theses, including those on EMC in electric vehicles, motor impedance modeling, and PEEC-based EMI analysis. His work emphasizes practical applications, such as the CoRoT project (2016-2021) improving flexible manufacturing systems with autonomous/collaborative robots. Key research themes include robotics task allocation (e.g., auction-based optimization), digital twin integration for resilient systems, and synthetic data for industrial object detection. His publications span peer-reviewed journals and conferences, addressing topics like magnetic shielding effectiveness in automotive applications and modular mobile manipulator coordination. Awards: While no specific honors are listed, his extensive supervision record and participation in high-impact projects reflect his academic standing. He actively organizes scientific events and contributes to industry-research partnerships. Lab involvement: As FabLab manager, he bridges academic research with hands-on innovation, fostering experimental prototyping in electromechanical systems and smart manufacturing technologies.

• Optimization
• IoT
• Sensors
• +۳ مورد دیگر

ZGHAL Mourad is a Researcher-Lecturer at CESI LINEACT, holding an HDR (2008) from Sup’Com, Carthage University and a PhD in Electrical Engineering (2000) from University Tunis Manar. He specializes in Optimization, IoT, Sensors, and Smart Healthy Cities , with a strong focus on Photonic Crystal Fibers and Nonlinear Optics . Education: HDR in Engineering (2008), Sup’Com, Carthage University PhD in Electrical Engineering (2000), University Tunis Manar Engineering Degree in Telecommunications (1995), Sup’Com, Carthage University Research Interests: Mourad’s work bridges IoT sensor networks with optical communication systems . He pioneers mid-infrared supercontinuum generation in chalcogenide fibers and explores optical mode multiplexing for high-speed communications. His recent work integrates federated learning for intrusion detection in smart grids and optimizes photovoltaic energy systems for building decarbonization . Publications Trends: His 2023–2025 work emphasizes AI-driven energy management , cybersecurity for IoT , and federated learning frameworks . Earlier contributions (2016–2019) focused on nonlinear optical effects in photonic fibers and high-bit-rate networks . Awards: Elected Vice-Präsident of the International Commission for Optics Fellow Optica (ex OSA) and SPIE Associate scientist at ICTP (UNESCO Category 1 Institute) Advising & Grants: Supervised 9 PhD students (e.g., Z. MONLA’s work on BIM/VR in building maintenance). Active member of the LINEACT Scientific Council and CTI Commission des Titres d’Ingénieurs. Labs & Teams: Leads the Engineering and Numerical Tools research team at CESI LINEACT. Collaborates with IMT Télécom SudParis as an Adjunct Professor.

Pedro RODRIGUEZ-AYERBEمشاهده پروفایل

استاد

• Model Predictive Control
• Optimization-Based Control Design
• Power Electronics Control
• +۴ مورد دیگر

Pedro RODRIGUEZ-AYERBE is a Professor at CentraleSupélec, University Paris-Saclay, affiliated with the Laboratoire des Signaux et Systèmes (L2S). His expertise spans Model Predictive Control, optimization-based control design, and power electronics control. He holds a Ph.D. (2003) and Habilitation (2014) in Automatic Control from Université Paris-Sud. His research addresses constrained dynamical systems, human-robot interaction, and industrial automation. Education : Ph.D. in Automatic Control (2003), University Paris XI; HDR (2014), Université Paris-Sud. Industry Experience : Fagor Automation (Spain) and Lore (France) from 1996–2000. Research Interests : Focus on robust and constrained control, predictive control algorithms, and applications in robotics, energy systems, and manufacturing. His work bridges theoretical advancements with practical implementations in power electronics and industrial automation. Recent Work : Recent articles explore fragility of control laws, human arm impedance dynamics, and zinc-air battery modeling. His 2025 paper in IEEE Transactions on Automatic Control analyzes polyhedral partition fragility in PWA control systems. Student Supervision : Over 20+ PhD students supervised since 2003, including current advisees in robotics, control systems, and energy engineering. Notable collaborations with institutions like CEA-LIST and CIAMS. Key Projects : Active in interdisciplinary research, including zinc-air battery control (2024), human-robot interaction (2023), and advanced manufacturing precision (2021). His lab contributes to EU industrial and academic initiatives.

• Virtual Environments for Human Learning
• Human Motion Analysis
• Augmented and Mixed Reality
• +۳ مورد دیگر

Ludovic Hamon is an Associate Professor at the IUT de Laval, Le Mans Université, France, since 2014. He is affiliated with the LIUM computer science laboratory and previously worked in the LARIS and LISA laboratories. His research focuses on virtual and augmented environments for learning, human motion analysis in educational contexts, and game mechanics. He teaches courses in relational databases and programming languages (C++/C#) at the DUT level. Key responsibilities include supervising student internships, managing research project calls, and mentoring students like Quentin Couland and Jean DELEST DJADJA. Education: PhD in Automation and Applied Computer Science from Université d’Angers (2011), with post-doctoral work at IRISA’s EXPRESSION team (2012–2014). Research interests include gesture learning through virtual environments, haptic simulators in dental education (EVAGO project), and automated motion evaluation in simulations. Publications emphasize applications of virtual/augmented reality in education, motion capture for skill assessment, and gamified tools like Albiziapp for collaborative learning. He contributes to conferences such as EC-TEL, CELDA, and GALA, focusing on technology-enhanced learning systems and human-computer interaction in educational settings. Lab affiliations include LIUM (computer science) and collaborations with LARIS and IRISA. His work bridges computational methods with pedagogical innovation, particularly in healthcare training and gesture-based learning.

Simon Theveninمشاهده پروفایل

استادیار

• Production Management
• Optimization Methods
• Production Scheduling
• +۴ مورد دیگر

Simon Thevenin is an Assistant Professor in the Automation, Production, and Computer Sciences Department at IMT Atlantique in France since 2018. He holds a Ph.D. from the University of Geneva (2015) and previously worked as a Postdoctoral researcher at HEC Montreal and an Algorithm Expert at Quintiq. His research focuses on optimization methods for production management, including scheduling, planning, and manufacturing line design. He leads projects such as the EU-funded ASSISTANT (2020-2023), ALICIA (2023-2025), and ACCURATE (2023-2026), advancing AI-driven solutions for sustainable manufacturing and supply chain resilience. His work integrates machine learning, robust optimization, and digital twin technologies to enhance production systems' adaptability and efficiency. Education: Ph.D. in Production Systems Scheduling, University of Geneva (2015) Teaching/Research Assistant, University of Geneva (2010-2015) Research Interests: His research emphasizes optimization under uncertainty, reconfigurable manufacturing systems, and AI applications in production. He explores topics like lot-sizing models, equipment lifecycle management, and circular manufacturing ecosystems. Grants/Projects: ASSISTANT (EU-funded, 2020-2023): AI for production digital twins ALICIA (EU-funded, 2023-2025): Circular production resource ecosystems ACCURATE (EU-funded, 2023-2026): Supply chain resilience against disruptions Labs/Teams: Part of the LS2N research lab (Modelis team) at IMT Atlantique, specializing in logistics and industrial optimization.

Sohrab Faramarzi Oghaniمشاهده پروفایل

استادیار

• Sustainable Supply Chain Management
• Supply Chain Resiliency
• Facilities Design
• +۳ مورد دیگر

Sohrab Faramarzi Oghani is an Assistant Professor in the Supply Chain Management & Information Systems Academic Area at Rennes School of Business (France). He holds a Ph.D. in Computer Science from Université de Lille (2018) and degrees in Industrial Engineering from the University of Tehran and Tabriz. His roles include Programme Manager for the MSc in Supply Chain Management and teaching courses such as Principles of Supply Chain Management, International Sourcing & Procurement, and Data Science for Advanced Production Systems. His research focuses on Sustainable Supply Chain Management , Supply Chain Resiliency , and Clinical Laboratory Design . He has published in journals like International Journal of Production Research and presented at conferences like META’2018. His work integrates mathematical modeling and simulation to optimize facilities design, particularly in healthcare and logistics sectors. He has contributed to patents in clinical laboratory optimization, including methods for layout design, instrument selection, and cost reduction. His recent studies emphasize sustainable practices and resiliency in supply chains, with a 2023 review paper on meta-heuristics in this domain. Professional activities include organizing international conferences (META, BIOMA, OLA) and collaborating with Inria Lille Nord Europe during his PhD. He advocates for applying advanced analytics to solve real-world operational challenges in both industrial and healthcare environments.

Nawelle Zaidiمشاهده پروفایل

مدرس

• Artificial Intelligence in Education
• Social Robotics in Elderly Care
• Participatory Design
• +۳ مورد دیگر

Nawelle Zaidi is a Lecturer-Researcher at Strate School of Design, holding a PhD in Information and Communication Sciences (specializing in Design). She combines engineering expertise (École Centrale Marseille) with design training (Strate School of Design), focusing on AI integration in pedagogy and innovative design approaches for societal transitions. Her research explores participatory, systemic, and speculative design methodologies, particularly in healthcare and aging care contexts. Education: PhD in Design (2024), University of Nîmes, supervised by Stéphane Vial, Thomas Watkin, and Ioana Ocnarescu Interaction Design Diploma (Strate School of Design) Engineering Degree (École Centrale Marseille, specializing in telecommunications) Exchange at Universidad Nacional de Córdoba (Architecture & Civil Engineering) Research Focus: Nawelle’s work centers on social robotics in elderly care institutions, AI applications for education, and the impact of cultural imaginaries on technology design. She investigates how speculative design can shape preferable futures for healthcare systems and aging populations, emphasizing ethical and participatory approaches. Awards & Contributions: Recipient of CIFRE Contract for Applied Research Key contributor to PROJEKT research team at University of Nîmes Active in international conferences (e.g., Design Research Society, Social Robotics) Grants & Labs: Member of Robotics by Design Lab (Strate School of Design). Her thesis explored “Social Robots in Nursing Homes: Designing Future Care Ecologies.”

Alain Haïtمشاهده پروفایل

استاد

• Production Planning and Scheduling
• Energy Management in Manufacturing
• Project Capacity Planning
• +۳ مورد دیگر

Alain Haït is a Professor of Industrial Engineering at the Aeronautics and Space Institute (ISAE), University of Toulouse. He oversees the Industrial Engineering Section of the SUPAERO graduate program and holds the Jarislowski SNC-Lavalin research chair on project management. His research focuses on production planning, scheduling under resource constraints, and energy optimization in manufacturing. Education: PhD in Robotics (1998), University of Toulouse MHDR in Industrial Engineering (2012), University of Toulouse MSc in Computer Science and Control (1994) MEng in Mechanical Engineering (1992) Research Interests: Energy-efficient production scheduling for energy-intensive industries Project capacity planning with overlapping work packages Production planning under uncertainty (e.g., helicopter maintenance, satellite assembly) Integration of renewable energy systems into manufacturing processes Awards & Grants: Jarislowski SNC-Lavalin research chair (ongoing) Supported collaborations with Ecole Polytechnique de Montréal and Astrium UK Teaching & Administration: Coordinator of Industrial Engineering and Information & Decision Systems majors at SUPAERO Responsible for academic exchanges with Canadian institutions Teaches optimization, operations research, and production management courses

Luc Jaulinمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Underwater Robotics
• +۴ مورد دیگر

Luc Jaulin is a Professor at the University Bretagne Occidentale and affiliated with Lab-STICC (UMR 6285) and ENSTA Bretagne. His research focuses on robotics, control systems, underwater navigation, and interval analysis. He leads projects in autonomous systems, such as robotic exploration (Robex) and underwater vehicle control. He has extensive teaching experience in robotics, including courses on mobile robotics, Kalman filtering, and nonlinear control. His work integrates theoretical methods with practical applications, emphasizing reliable state estimation and set-based approaches. Education and Affiliations: Professor at University of Western Brittany (ENSTA Bretagne) Laboratory: Lab-STICC, UMR 6285 Participates in the Master SDS program at Angers, focusing on robotics and automation research. Research Interests: Autonomous robotics and underwater vehicle navigation Interval analysis and set-membership methods Control systems and real-time algorithms Robot localization and SLAM Algorithm development for marine robotics Advising and Grants: Supervised over 100 students in robotics-related stages and theses. Contributed to projects like ANR ElectroKarst (underwater exploration) and Robotic Spacecraft design. Collaborates with industries (e.g., Thales, FORSSEA Robotics) and academic institutions globally. Labs and Teams: Core member of Lab-STICC and the Robex (Robotics Exploration) team, focusing on innovative robotics solutions.

Yukika AWAZUمشاهده پروفایل

دانشیار

• Knowledge Management
• Strategic Management
• Global Digital Strategies
• +۵ مورد دیگر

Yukika AWAZU is an Associate Professor at IÉSEG School of Management, specializing in Strategy and Sustainability. She holds a Ph.D. in Business (Bentley University, 2013) and dual Master's degrees in Business Administration and Economics (University of Illinois at Chicago, 2002). Her research focuses on Knowledge Management, Global Digital Strategies, Social Robotics, and Wellness. She previously served as Associate Professor and Head of Research at Bangkok University's Institute for Knowledge & Innovation South-East Asia (2015–2016). Notable awards include the Henry E. Rauch Doctoral Fellowship (2006) and H.B. Earhart Student Fellowship (1997). Her teaching spans courses like Sustainability Strategies, Management of Information Systems, and Digital Strategies. Research interests emphasize innovation processes, organizational knowledge practices, and technology implementation challenges. Recent work explores project memory in large-scale initiatives, artifact-mediated knowledge, and public data democratization. She has authored over 50 peer-reviewed articles, books on engaged knowledge management, and contributed to conferences globally.

Saddek Bensalemمشاهده پروفایل

استاد

• Formal Methods
• Verification
• Embedded Systems
• +۷ مورد دیگر

Saddek Bensalem is a Professor at Université Grenoble Alpes (UGA), affiliated with the Laboratoire Verimag within the Grenoble Institute of Technology. His research focuses on rigorous system design, formal methods for verification, and the integration of learning-enabled components into safety-critical systems. He leads projects like FETLAS (Engineering Trustworthy Learning-enabled Autonomous Systems) and has contributed to frameworks such as BIP for component-based system design. Research Interests: Formal verification of real-time systems, model-based design, cyber-physical systems, autonomous robotics, and security in IoT. His work emphasizes scalable verification techniques and correctness-by-construction approaches. Recent Projects: FOCETA (H2020): Foundations for continuous engineering of trustworthy learning-enabled systems. BRAIN-IoT: Framework for smart IoT-CPS integration and security. CPS4EU: Strengthening European capabilities in cyber-physical systems. Labs & Teams: Laboratoire Verimag, leading the Rigorous System Design team (2008-2020) and currently advancing autonomous systems research. Active in collaborations with institutions like NASA/JPL and SRI International.

• Automated Theorem Proving
• Machine Learning Integration
• Formal Verification
• +۷ مورد دیگر

Konstantin Korovin is a Reader at the Department of Computer Science, University of Manchester, with over 20 years of experience in automated reasoning and formal verification. He previously held roles as Senior Lecturer (2015-2023) and Royal Society University Research Fellow (2007-2015). His research spans automated theorem proving, machine learning integration, and constraint solving for hardware/software verification. Doctoral thesis: Knuth-Bendix orders in automated deduction (2003, University of Manchester) Current teaching: Logic and Modelling (COMP21111), Automated Reasoning (COMP60332) Research interests include: Automated Theorem Proving (ATP) and SMT solving Combining machine learning with formal verification Nonlinear constraint analysis via δ-complete procedures DNA computing and bio modeling applications Recent publications focus on symbolic ML verification (SMLP), conflict-driven quantifier elimination (VIRAS), and enhanced C++ model checking (ESBMC). His work has been recognized with best paper awards at FroCoS'19 and CP'09. Supervised: 9 PhD/PostDocs including Maryam Abdullah, Franz Brausse, and Andrzej Kucik Collaborated with industry (Intel, Google, MathWorks) on verification tools Contact: konstantin.korovin@manchester.ac.uk