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Bahriye CesaretView profile

Assistant Professor

• Behavioral Operations
• Pricing and Revenue Management
• Supply Chain Management
• +2 more

Dr. Bahriye Cesaret is an Assistant Professor at Özyeğin University's Faculty of Business Administration. She holds a Ph.D. in Management Science from the University of Texas at Dallas (2015), an MBA and M.S. in Supply Chain Management from the same institution, and earlier degrees in Industrial Engineering from Koç University (M.S., 2010) and Istanbul Technical University (B.S., 2008). Ph.D., Management Science — University of Texas at Dallas MBA — University of Texas at Dallas M.S., Supply Chain Management — University of Texas at Dallas M.S., Industrial Engineering — Koç University B.S., Industrial Engineering — Istanbul Technical University Her research focuses on Behavioral Operations , Pricing and Revenue Management , Supply Chain Management , and Decision Making under Uncertainty . Key trends in her work include experimental studies on competitive dynamic pricing , capacity allocation , and team composition in robotic surgery . She integrates behavioral economics into operational decision-making, particularly in retail logistics and omni-channel retailing . Dr. Cesaret's publications appear in top journals like Production and Operations Management and European Journal of Operational Research . She has also contributed to book chapters on carrier selection and urban mobility systems . TUBITAK 3501 National Young Researchers Career Development Program (2023–2025, ongoing) TUBITAK 2232 Postdoctoral Reintegration Fellowship (2016–2017) Outstanding Student Teacher Award, Jindal School of Management, University of Texas at Dallas (2013–2014) She teaches Operations Management (OPER202) , Revenue Management (OPER313) , and Retail Operations (OPER318) . Her current work-in-progress includes analyzing decision heuristics in competitive dynamic pricing and customer switching behavior in omni-channel retailing .

• Numerical Analysis
• Optimization
• Computational Mathematics
• +6 more

Kathleen Kavanagh serves as Professor of Mathematics and Director of the Institute for STEM Education at Clarkson University, holding the Robert A. Plane Endowed Chair within the Coulter School of Engineering & Applied Sciences. Her dual leadership roles position her at the intersection of advanced mathematical research and transformative STEM education initiatives. Her research program integrates numerical analysis, optimization, and computational mathematics to solve complex hydrology problems including groundwater flow modeling, adaptive temporal integration for unsaturated systems, and water resource management optimization. Simultaneously, she drives national efforts in mathematical modeling education through the GAIMME report and K-16 curriculum integration projects, creating bridges between theoretical mathematics and real-world applications across agricultural, environmental, and cognitive domains. Analysis of her 2013-2016 publications reveals a distinctive interdisciplinary signature where mathematical modeling serves as the connective tissue between environmental engineering, agricultural systems, cognitive neuroscience, and educational reform. Her work consistently demonstrates how computational methods can address pressing societal challenges while simultaneously transforming how mathematics is taught across educational levels. Scientific recognition includes: Best Paper Award at the 2010 International Conference on Computational Science Through the Institute for STEM Education, she orchestrates extensive outreach programs including roller coaster science camps, university-school partnerships, and professional development for K-12 educators, creating systemic pathways for STEM engagement that extend far beyond traditional classroom boundaries.

• Geometry
• Topology
• 3-Manifolds
• +3 more

Alberto Cavicchioli is a Full Professor in the Department of Physical, Computer and Mathematical Sciences at the University of Modena and Reggio Emilia, specializing in Mathematics with a focus on Geometry (Scientific Disciplinary Sector MATH-02/B). He maintains an active teaching schedule, currently instructing "Geometry and Linear Algebra" for Strategic Sciences students, with office hours held on Tuesdays from 1:00-2:00pm and Wednesdays from 8:00-9:00am during the 2024/25 academic year. Professor Cavicchioli's research spans multiple areas of geometric topology, with particular expertise in 3-manifolds, knot theory, and combinatorial approaches to manifold theory. His work bridges abstract mathematical theory with concrete geometric constructions, focusing on topics such as Dehn surgery, character varieties, and the topological properties of manifolds constructed from polyhedral schemata. His research methodology often combines combinatorial group theory with geometric topology to derive new classification results and topological invariants. An analysis of his most recent publications reveals a consistent focus on the interplay between algebraic structures and geometric topology. His work on surgery theory, particularly regarding hyperbolic knots and 3-manifolds, has produced significant results in understanding exceptional surgeries and their topological consequences. His research on character varieties of knot groups using palindrome presentations represents a novel approach to classical problems in geometric topology. Additionally, his work on low-dimensional manifolds, including 4-complexes with fundamental class and combinatorial classifications of PL manifolds, demonstrates breadth across multiple dimensions of geometric topology. Professor Cavicchioli has maintained a prolific research output, with numerous publications spanning from the early 2000s to the present. His collaborations, particularly with Fulvia Spaggiari, Friedrich Hegenbarth, and Dušan Repovš, have produced significant contributions to the field of geometric topology. While specific grant information is not provided in the available materials, his extensive publication record suggests sustained research activity and scholarly engagement with the mathematical community.

Patrick LESERFView profile

Associate Professor

• Embedded Systems Engineering
• Model-Based Systems Engineering (MBSE)
• Automotive Software Architecture
• +4 more

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 TodorovaView profile

Assistant Professor

• 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
• +7 more

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 HartmannView profile

Professor

• Operations Research
• Logistics
• Optimization Algorithms
• +3 more

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. TadikamallaView profile

Professor

• Simulation Methodology
• Statistical Techniques in Management
• Quality Management
• +3 more

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
• +4 more

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
• +5 more

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 THIBAULTView profile

Lecturer

• Computer Science
• Algorithms
• Parallel Computing
• +3 more

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
• +12 more

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 DziubaView profile

Researcher

• Supply Chain Management
• Operations Research
• Production Planning
• +1 more

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
• +3 more

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 BATTAIAView profile

Professor

• Operations Management
• Supply Chain Management
• Production Systems Optimization
• +7 more

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.