جست‌وجوی استاد و پژوهشگر

Patrick LESERFمشاهده پروفایل

دانشیار

• Embedded Systems Engineering
• Model-Based Systems Engineering (MBSE)
• Automotive Software Architecture
• +۴ مورد دیگر

Patrick LESERF is an Associate Professor at ESTACA, a French engineering school specializing in transport systems, where he serves as a Teacher-researcher in ESTACA'Lab. Since joining in 2005, he has founded the embedded systems laboratory, developed academic programs including a specialized master's degree in Embedded Lighting Systems (with IOGS, Renault, and PSA), and led research collaborations with CEA-LIST on transport systems reliability using model-based approaches. His research centers on Model-Based Systems Engineering (MBSE) for embedded automotive systems, with expertise in SysML modeling, safety-security co-optimization, and AUTOSAR methodology. Key contributions include architecture optimization for critical systems, real-time communication networks (CAN/LIN/FlexRay), and embedded OS design. Recent work expands into intelligent transportation systems and electric vehicle powertrain optimization. Analysis of his 2023-2024 publications reveals a strategic shift toward AI-integrated solutions: neural architecture search for efficient deep learning models, predictive analytics for urban traffic optimization using Eclipse MOSAIC, and multi-objective optimization of battery/motor systems in electric vehicles. This evolution demonstrates integration of traditional embedded systems engineering with data-driven approaches. Scientific Awards: No major awards documented in source materials. Advising and Grants: Co-supervises PhD candidate Léo Pouy on MBSE for autonomous decision-making systems. Led the European Matelo project (statistical testing for embedded software) during industrial tenure and established ESTACA's joint research team with CEA-LIST. Directs curriculum development for embedded systems education across multiple specialized master's tracks. Labs and Teams: Founded ESTACA'Lab's embedded systems research group in 2005, scaling it to four teacher-researchers. The lab focuses on model engineering, transport communication networks, and software architecture optimization, supported by a 350-hour teaching program covering embedded networks, OS, and microcontrollers. Current activities include steer-by-wire systems and IoV applications.

Tatyana Liubenova Todorovaمشاهده پروفایل

استادیار

• Analytic Number Theory
• Algebra
• Number Theory

Tatyana Liubenova Todorova serves as an Assistant Professor in the Department of Algebra at the Faculty of Mathematics and Informatics, Sofia University "St. Kliment Ohridski". She earned her Master of Mathematics degree from Sofia University in 1992 and maintains an active academic position with office room FMI-529. Her primary research focus includes: Analytic Number Theory Prime Number Theory Algebraic Structures Dr. Todorova's scholarly work centers on theoretical aspects of number theory, particularly examining prime distributions, divisor problems, and trigonometric representations. Her research contributes to fundamental mathematical understanding with potential applications in cryptography and coding theory. She participates in the scientific project "Algebraic Structures and Graph Theory" (project 85/17.04.2006) funded by the NI Fund at Sofia University. Her teaching responsibilities include conducting exercises for "Algebra 1" for Computer Science specialization (1st year, 2nd stream) with classes scheduled on Mondays, Tuesdays, and Thursdays across multiple FMI auditoriums. Professional contact information includes telephone +359 8161 710 (extension 710) and email tlt@fmi.uni-sofia.bg.

• Operations Management
• Management Accounting
• Demand Forecasting
• +۷ مورد دیگر

Hermann Jahnke is a Full Professor and Chair for Management Accounting and Operations Management at the Faculty of Economics, Bielefeld University. He has held academic positions at the University of the German Federal Armed Forces in Hamburg and Cologne University, and served as Dean of his faculty twice (1997-1998, 2015-2023). Education: Habilitation in Operations Management (Hamburg University), PhD in Statistics and Econometrics (Hamburg University) Affiliations: Chair of Business Administration, Controlling & Production Management; Bielefeld Graduate School of Economics and Management Research Focus: His work bridges managerial accounting, decision theory, and operational challenges in modern retail and manufacturing contexts. Key contributions include: Demand forecasting frameworks for e-grocery retailers using distributional regression Complexity analysis of discrete lot-sizing and scheduling problems Integration of internal/external accounting under IFRS for SMEs Strategic cost modeling and service operations management Investigations into crowd logistics and fast fashion supply chains Publications: Over 30 peer-reviewed articles in journals like Decision Sciences , European Journal of Operational Research , and International Journal of Forecasting , plus 3 German-language books on cluster analysis and operations management.

Sönke Hartmannمشاهده پروفایل

استاد

• Operations Research
• Logistics
• Optimization Algorithms
• +۳ مورد دیگر

Sönke Hartmann is Professor for Operations Research and Logistics at the Hamburg School of Business Administration (HSBA) since 2007. His academic work focuses on optimization algorithms, resource-constrained project scheduling, and container terminal optimization. He teaches courses in Operations Research, Statistics, Mathematics, Computer Science Foundations, AI & Data Science, and Data Analysis. Professor Hartmann completed his Computer Science studies at the University of Kiel and earned his PhD in Economics with a specialization in Operations Research. His doctoral research laid the foundation for his subsequent work in mathematical optimization and scheduling problems. His research spans multiple areas within operations research and logistics. Dr. Hartmann has made significant contributions to resource-constrained project scheduling, developing algorithms that address complex resource allocation challenges. His work on container terminal optimization has practical applications in port logistics, focusing on improving efficiency through simulation and mathematical models. He has also explored applications of mathematical programming to solve logic puzzles and smartphone applications, demonstrating the versatility of optimization techniques across different domains. Professor Hartmann's publication record shows a clear evolution from theoretical scheduling algorithms to practical applications in container terminals. His recent work (2025) provides a comprehensive review of fifty years of research on resource-constrained project scheduling, while his earlier publications established foundational work in genetic algorithms for project scheduling. The journal distribution shows strong representation in top-tier operations research journals like European Journal of Operational Research. As an active member of the academic community, Professor Hartmann serves as a reviewer for more than 30 scientific journals, contributing his expertise to maintain scholarly standards in operations research and logistics publications. His research has practical implications for container terminal operations, with applications in scheduling equipment and manpower, optimizing container movements, and improving overall terminal efficiency through simulation models. This industry-focused research demonstrates the real-world impact of his academic work.

Pandu R. Tadikamallaمشاهده پروفایل

استاد

• Simulation Methodology
• Statistical Techniques in Management
• Quality Management
• +۳ مورد دیگر

Pandu R. Tadikamalla is Professor of Business Administration at the Katz Graduate School of Business, University of Pittsburgh, where he teaches statistical techniques, decision technologies, simulation, and total quality management. With over 45 publications and editorial roles at OMEGA and the American Journal of Mathematical and Management Sciences , he bridges academic rigor with corporate problem-solving through MBA Consulting Field Projects. His educational foundation includes a PhD and MS in Industrial and Management Engineering from the University of Iowa and a BS in Mechanical Engineering from Andhra University, India. This interdisciplinary background informs his research in simulation methodology, statistical management techniques, and quality/productivity systems. Tadikamalla's research spans supply chain optimization under carbon constraints, natural disaster relief logistics, and customer risk hedging. His recent publications demonstrate methodological innovation through bilevel programming for emergency allocation, evolutionary game theory for environmental governance, and agent-based models for digital branding—consistently applying operations research to sustainability and crisis management challenges. He has earned multiple teaching accolades including five Distinguished Professor Awards across EMBA programs and the Outstanding Professor of the Year for the MBA Class of 1986. His consulting work with multinational corporations translates theoretical frameworks into optimized inventory systems and supply chain solutions. As an active community leader, Tadikamalla serves as president of the Executive Committee and chairman/treasurer of the Board of Directors for S.V. Temple, demonstrating commitment to societal impact beyond academia.

• Optimization
• Genetic Programming
• Dynamic Environments
• +۴ مورد دیگر

Philipp Fleck is a researcher and PhD student at the University of Applied Sciences Upper Austria's Research Center Hagenberg, affiliated with the Center of Excellence for Smart Production and HEAL research group. His work focuses on digital transformation within ICT and production systems, leveraging optimization techniques for industrial applications. His academic background includes: PhD in Computer Science (ongoing since 2021) Master of Science in Software Engineering (2013-2015) Bachelor of Science in Software Engineering (2010-2013) IT-HTL diploma (2005-2010) Fleck specializes in dynamic optimization environments, genetic programming, and machine learning applications for production systems. His research develops adaptive algorithms for real-time decision-making in logistics and manufacturing, with emphasis on tree search methods, storage optimization, and evolutionary computation. Current work integrates machine learning with heuristic optimization for dynamic symbolic regression and transport-lot assignment problems. His publication trends show concentrated focus on evolutionary computation applied to industrial challenges, particularly dynamic environments requiring real-time adaptation. Recent work bridges genetic programming with production logistics and machine learning update strategies, demonstrating strong interdisciplinary connections between computer science and operations research. No scientific awards are documented in available sources. Fleck has secured significant grant funding through Austrian research programs, including the Josef Ressel Center for Adaptive Optimization in Dynamic Environments (2019-2024), Fakultätsübergreifendes Institut für intelligente Produktion (2014-2019), and Josef Ressel Center for Heuristic Optimization (2008-2013). These projects address priority rules, distributed intelligence, and rapid prototyping in production systems. He operates within the HEAL research ecosystem at Hagenberg's Center of Excellence for Smart Production, collaborating with interdisciplinary teams on digital transformation initiatives. His work integrates with the university's broader Strength Area ICT framework, focusing on practical implementations of optimization algorithms in production environments.

• Operations Research
• Combinatorial Optimization
• Vehicle Routing Problems
• +۵ مورد دیگر

Prof. TEMEL ÖNCAN is a Professor of Industrial Engineering at Galatasaray University's Faculty of Engineering and Technology, specializing in Operations Research. He has been serving in this position since 2016, after previously holding the ranks of Associate Professor (2009-2015) and Assistant Professor (2006-2009) at the same institution. His academic journey began with a Doctorate from Bogazici University's Department of Industrial Engineering (1998-2004), following a Postgraduate degree from the same institution (1996-1998). His educational background includes: Doctorate (1998-2004) from Bogazici University, Faculty of Engineering, Department of Industrial Engineering Postgraduate (1996-1998) from Bogazici University, Faculty of Engineering, Department of Industrial Engineering Prof. Öncan's research interests span Operations Research, Combinatorial Optimization, Vehicle Routing Problems, Facility Location Problems, Assignment Problems, Network Design, Warehouse Management, and Scheduling. His work has resulted in numerous publications in prestigious journals such as European Journal of Operational Research, Networks, and Annals of Operations Research. His recent research focuses on conflict-constrained optimization problems, facility location models, and warehouse management systems, demonstrating consistent contributions to theoretical and applied aspects of Operations Research. His publication trends show a strong focus on combinatorial optimization problems with practical applications in logistics, transportation, and supply chain management. Many of his recent works address complex variants of classical optimization problems with additional constraints that better reflect real-world scenarios. Prof. Öncan has successfully supervised 12 theses across various topics in Operations Research and has led numerous research projects funded by TUBITAK and higher education institutions. His projects have focused on conflict-constrained optimization problems, facility location models, and warehouse management systems. He has held significant managerial roles, including University Executive Board Member at Galatasaray University's Continuing Education Application and Research Center since 2012. His international experience includes postdoctoral research at the University of Montreal (2005-2006), University of New Brunswick (2005), and a visiting lecturer position at Columbia University (2004-2005).

Nicolas THIBAULTمشاهده پروفایل

مدرس

• Computer Science
• Algorithms
• Parallel Computing
• +۳ مورد دیگر

Mr. Nicolas THIBAULT is a Lecturer in Computer Science at Paris-Panthéon-Assas University, affiliated with the Center for Research in Economics and Law (CRED). His academic career combines teaching and research in theoretical computer science, with a focus on algorithms and network optimization. His research interests include: Algorithms (particularly randomized and truthful scheduling) Dynamic graph maintenance and incremental/decremental tree problems Online computation and bicriteria optimization Network interconnection and parallel machine scheduling Recent publications highlight his work on: Truthful mechanisms for weighted completion times Disturbance minimization in connection trees Hardness results for multi-group interconnection Competitive analysis of online scheduling Optimal rebuilding strategies for dynamic trees Scientific awards include the Best Young Researcher Article at AlgoTel 2006 for his work on connection tree updates. He co-heads the Professional License program in Organizational Management, specializing in Network and Information Systems Management.

• Machine Learning
• Optimization
• Explainable AI
• +۱۲ مورد دیگر

Giovanni Iacca is an Associate Professor at the Department of Information Engineering and Computer Science (DISI) of the University of Trento, Italy, where he leads the Distributed Intelligence and Optimization Lab (DIOL). He serves as Coordinator of the Master's Degree in Computer Science and Deputy Director of the Information Engineering and Computer Science Doctoral School. Dr. Iacca has over 15 years of industrial experience in mechatronics and optimization applied to engineering, logistics, and scheduling. Dr. Iacca received his PhD in 2011 from the University of Jyväskylä, Finland, and his MSc in 2006 from the Technical University of Bari, Italy. His academic career includes: 2021-present: Associate Professor, University of Trento 2018-2021: Tenure-track Assistant Professor, University of Trento 2017-2018: Postdoc, RWTH Aachen University, Germany 2013-2016: Postdoc, EPFL and University of Lausanne, Switzerland 2012-2016: Postdoc, INCAS³, The Netherlands Dr. Iacca's research bridges fundamental and applied aspects of artificial intelligence with particular emphasis on evolutionary computation and explainable AI. His work spans machine learning, optimization techniques, distributed systems, and their practical implementations. Recent research directions include federated learning, interpretable reinforcement learning, neural architecture search, and optimization for resource-constrained environments. He teaches courses on Computer Architectures, Introduction to Machine Learning, Bio-Inspired Artificial Intelligence, Optimization Techniques, and AI in Medicine. His publication record demonstrates a strong trend toward developing transparent and efficient AI systems. Recent papers focus on making complex AI models more interpretable while maintaining performance across diverse domains from healthcare to supply chain management. His work on evolutionary approaches to explainable AI has gained significant recognition in the computational intelligence community. Scientific Awards and Editorial Roles EvoApplications Best Paper Award (2017) UKCI AWARENESS Best Paper Award (2012) IEEE CIS Outstanding Student-Paper Award (2011) IEEE Senior Member (2023) Associate Editor, Evolutionary Intelligence (2024) Editorial Board Member, Memetic Computing (2024) Associate Editor, IEEE Transactions on Evolutionary Computation (2023) Dr. Iacca has successfully supervised multiple PhD students including Andrea Ferigo, Hyunho Mo, and Leonardo Lucio Custode. His research is supported by various grants and collaborations with industry partners like MyAv. He serves as chair for PPSN 2026 and has organized workshops including the Workshop on Awareness and Consciousness in Artificial Intelligence (ACAI). As leader of the Distributed Intelligence and Optimization Lab (DIOL), Dr. Iacca oversees a research team working at the intersection of evolutionary computation, machine learning, and distributed systems. The lab focuses on developing novel algorithms that balance computational efficiency with interpretability, with applications spanning from embedded systems to large-scale distributed computing environments. Current projects include interpretable reinforcement learning, federated neuroevolution, and optimization for edge computing.

Daryna Dziubaمشاهده پروفایل

پژوهشگر

• Supply Chain Management
• Operations Research
• Production Planning
• +۱ مورد دیگر

Daryna Dziuba is a Scientific Staff Member at the Faculty of Business Administration and Economics, European University Viadrina, Frankfurt (Oder, Germany. She is affiliated with the Chair of Supply Chain Management and her contact email is dziuba@europa-uni.de. Her research focuses on Supply Chain Management and Operations Research, with specific expertise in Production Planning and Logistics. She develops quantitative methods to solve complex optimization problems in manufacturing and inventory systems. Her recent work centers on capacitated lot sizing problems, where she introduced a novel construction heuristic. This research bridges theoretical optimization with practical applications in production scheduling and resource allocation within supply chain networks. No scientific awards were mentioned in the available information. There is no information regarding student advising or research grants in the provided materials. She operates within the Chair of Supply Chain Management, contributing to the faculty's research agenda in logistics optimization and supply chain modeling at the European University Viadrina.

• Logistics Optimization
• Material Handling Systems
• Discrete-Event Simulation
• +۳ مورد دیگر

Slaheddine Mestiri is a Researcher at the Chair of Material Handling and Logistics (Lehrstuhl für Fördertechnik Materialfluss Logistik) at the Technical University of Munich (TUM), located at Boltzmannstraße 15, Garching. Holding an M.Sc. degree, he actively contributes to logistics research through publications and the PlaKAT project, focusing on simulation-based solutions for transport systems and warehouse automation. Research Profile His work centers on discrete-event simulation, data-driven modeling, and AI applications in logistics. Key contributions include developing frameworks for material handling system modeling, transport system dimensioning, and order assignment strategies for heterogeneous fleets. Recent publications demonstrate increasing focus on warehouse AI scalability and feasibility assessment. Publication Trends Analysis of his 2021-2025 publications reveals consistent methodology: simulation-driven approaches applied to material flow challenges. Dominant themes include transport system optimization (43% of works), warehouse innovation (29%), and decision-support tool development (28%). His research shows progressive integration of AI concepts, particularly in 2024-2025 works addressing warehouse automation scalability. Projects & Collaboration Primary contributor to PlaKAT project (funded by German Federal Ministry for Economic Affairs and Climate Action) developing a transport means selection compass Regular collaborator with Prof. Johannes Fottner and researchers including Soufi, David, and Küster Publications presented at German Material Flow Congress and in journals like Flexible Services and Manufacturing Journal Research Infrastructure Mestiri operates within TUM's Chair of Material Handling and Logistics, a research unit specializing in material flow systems. The chair maintains industry partnerships for applied logistics research, with Mestiri focusing on simulation model development and transport system analysis within this ecosystem.

Olga BATTAIAمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Production Systems Optimization
• +۷ مورد دیگر

Olga Battaïa is Senior Professor in the Department of Operations Management and Information Systems at KEDGE Business School, where she also serves as Associate Dean for Research. Her academic journey includes a PhD in Industrial Engineering from École nationale supérieure des mines de Saint-Étienne (2007) and accreditation to supervise research (HDR, 2014). Education PhD in Industrial Engineering, École nationale supérieure des mines de Saint-Étienne, 2007 HDR (Accreditation to Supervise Research), 2014 Research Focus Professor Battaïa’s research lies at the intersection of operations management , supply-chain optimization , and decision-science methods . She develops mathematical models and algorithms that improve the design and performance of production systems, reconfigurable manufacturing lines, closed-loop supply chains, and collaborative human-robot systems. Her work embraces sustainability challenges, ergonomic considerations, and uncertainty management. Recent investigations include: Dynamic vaccine-allocation models responding to pandemic realities Ergonomic integration in human-robot collaborative workstations Electric-bus charging-network design for sustainable urban mobility Robust resource-leveling techniques under project uncertainty Publication Impact Across 200+ refereed publications, her 2023–2025 output alone spans International Journal of Production Economics , IJPR , Computers & Industrial Engineering , Transportation Research Part E , and flagship conferences such as CIRP ANNALS. Thematic trends reveal deepening emphasis on (i) sustainable and resilient supply-chain design, (ii) advanced exact and heuristic optimization for reconfigurable manufacturing, and (iii) human-centric production systems. Editorial & Professional Service Associate Editor, Journal of Manufacturing Systems (Elsevier) Associate Editor, IISE Transactions Associate Editor, Omega—The International Journal of Management Science Associate Member, International Academy for Production Engineering (CIRP) Member, IFAC Technical Committee on “Manufacturing Modelling for Management and Control” Doctoral Advising & Research Leadership Professor Battaïa has co-supervised 11 PhD thestrong>ses to completion and delivered more than 15 invited lectures worldwide. She coordinates multi-partner research projects with industry and academic institutions, securing sustained funding for large-scale optimization and sustainability initiatives. Laboratories & Teams She leads research activities within KEDGE’s Operations, Supply Chain and Information Management group, collaborating closely with the Reconfigurable Manufacturing Systems and Sustainable Supply Chain Design research teams.

Amir PIRAYESHمشاهده پروفایل

دانشیار

• Supply Chain Management
• Process Modeling
• Simulation
• +۱۲ مورد دیگر

Dr. Amir Pirayesh is an Associate Professor in Operations, Supply Chain and Information Management at KEDGE Business School, France. His research focuses on supply chain optimization, process modeling, and sustainability in manufacturing and logistics systems. He holds a PhD in Industrial and Mechanical Engineering from École nationale supérieure des arts et métiers (ENSAM) and previously worked at ENSAM as an ATER (Associate Professor of Teaching and Research). He has contributed extensively to European research projects under the Factories of Future and Horizon 2020 programs. PhD in Industrial and Mechanical Engineering (ENSAM, 2014) Current affiliation: KEDGE Business School Prior affiliation: InterOP-VLab His research spans four key domains: supply chain optimization (vaccine distribution, waste recycling), smart manufacturing (collaborative robots, assembly line balancing), enterprise modeling (interoperability, conceptual frameworks), and sustainability analytics (circular economy, environmental/social integration). Recent work applies reinforcement learning to scheduling and semantic frameworks for IoT interoperability. Article trends show a strong focus on pandemic response logistics (2021-2025), followed by collaborative robotics (2024), smart grid energy management (2022-2023), and circular economy applications (2023-2025). Co-authors include M. Mohammadi, M. Karimi Mamaghan, and O. Battaia, indicating collaborations across French, Iranian, and Portuguese institutions. As a former InterOP-VLab researcher and ENSAM ATER, Dr. Pirayesh has extensive experience in model-driven enterprise management, with applications in healthcare logistics, sustainable manufacturing, and digital dentistry. He teaches courses on supply chain modeling, simulation, and information systems optimization.

Michelle G. Zeidersمشاهده پروفایل

عضو هیئت علمی

• GIS spatial analysis
• Online geospatial education
• Geoenvironmental studies
• +۳ مورد دیگر

Michelle G. Zeiders is an Associate Teaching Professor in the Department of Geography within the College of Earth and Mineral Sciences at The Pennsylvania State University. She maintains dual affiliations with the Department of Geography and the John A. Dutton e-Education Institute, where she serves as a key faculty member in the online Geospatial Program offering seven programs including a Master of GIS and Certificate in GIS. Dr. Zeiders specializes in GIS spatial analysis and online geospatial education, with expertise spanning geoenvironmental studies, geospatial big data analytics, spatial modeling, and remote sensing. Her teaching focuses on practical GIS applications across environmental challenges, database development, and problem-solving methodologies. With over 25 years of combined industry and academic experience since 1998, she brings substantial real-world knowledge to her classroom. Dr. Zeiders teaches multiple courses including GEOG 483: Problem Solving with GIS, GEOG 484: GIS Database Development, GEOG 487: Environmental Applications of GIS, and GEOG 868: Spatial Database Management, with upcoming courses scheduled through Spring 2026. She has been instrumental in developing and delivering GIS curriculum that bridges theoretical knowledge with professional applications. Through her work with the Geographic Information Analysis (GIA) Core for the Social Science Research Institute and Population Research Institute, Dr. Zeiders facilitates the integration of geospatial data into social science research, supporting interdisciplinary collaboration across campus. Her professional journey includes diverse GIS roles at North Carolina State University's Institute for Transportation Research and Education, a private civil engineering firm, and Mapquest, providing comprehensive industry perspective that enriches her teaching methodology and student mentorship.

• Industrial systems engineering
• Operational research
• Scientific computing
• +۶ مورد دیگر

David Garcia serves as Head of the Research and Innovation Department at CESI South-East region, affiliated with the Digital Innovation Laboratory for Businesses and Learning to Support Territorial Competitiveness (LINEACT). His work focuses on industrial systems engineering, operational research, and numerical simulation with particular expertise in production systems modeling. Dr. Garcia earned his Doctorate from Ecole Supérieure de Chimie, Physique Electronique de Lyon (ESCPE) with his 2002 thesis on polymer injection process optimization (awarded highest honors). He also holds an Advanced Study Diploma in IMAGE from Joseph-Fourier University - Dijon (1998, with honors) specializing in instrumentation and image computing. His research spans production systems engineering, with evolving focus from fundamental polymer injection molding processes to contemporary applications in digital twin technology and Industry 4.0/5.0. Key interests include dynamic scheduling of flexible manufacturing systems, human-system interactions in production environments, and image processing for industrial applications. His work demonstrates a clear trajectory from material science fundamentals to advanced computational approaches for modern manufacturing challenges. Analysis of his publication history reveals consistent contributions to polymer processing optimization that evolved toward digital manufacturing systems. His recent work focuses on digital twin implementation for micro learning factories, affordance characterization in industrial work environments using deep learning, and scheduling frameworks for Industry 5.0 contexts that balance human creativity with machine precision. Dr. Garcia actively supervises research, currently guiding Sarah Ouarab's doctoral work on characterizing affordances in human cyber-physical production systems through multimodal perception of human-system interactions. He serves as Micro Learning Factory (MLF) platform referent and participates in thesis juries for related engineering disciplines. As the regional coordinator for research and innovation activities at CESI South-East, he leads the LINEACT research team focusing on management and decision-making in production systems, human-system interactions, and educational innovation through project-based learning approaches across preparatory and engineering cycles.