Find Academic Supervisors

Bernd NocheView profile

Professor

• Logistics
• Sustainable Supply Chain Management
• System Dynamics
• +4 more

Prof. Dr.-Ing. Bernd Noche is a University Professor at the Transport Systems and Logistics department of the Faculty of Engineering , University of Duisburg-Essen. He serves on examination boards for the Master Logistics Management program and chairs the Technical Logistics Examination Committee. Expertise in logistics systems, sustainable supply chains, and system dynamics Research focuses on circular economy applications in agriculture, maritime transport optimization, and IoT in logistics Collaborations with researchers in Egypt, Indonesia, and Jordan on citrus supply chains and renewable energy logistics Research Trends : His recent work emphasizes Applying machine learning (YOLOv8n) to defect detection in seamless fabrics System dynamics models for sustainable agricultural supply chains in Jordan Valley Life cycle assessment of packaging materials in citrus transportation His publications span Computer Science , Environmental Science , and Operations Research , with subfields including Logistics Automation , Circular Economy , and Maritime Cost Optimization . Email: bernd.noche@uni-due.de

Luitpold BabelView profile

Professor

• Discrete Mathematics
• Structural and Algorithmic Graph Theory
• Combinatorial Optimization
• +6 more

Luitpold Babel is a Professor of Mathematics and Computer Science at the Faculty of Business Administration, University of the Federal Armed Forces Munich. He has been serving in this position since 2007 and continues to be actively involved in teaching and research as evidenced by his Spring Term 2025 course offerings including Fundamentals of Computer Science, Scientific Computing with Matlab, and Engineering Mathematics tutorials. His educational background includes: 1982-1987: Studied mathematics at the Technical University of Munich 1987: Diploma (with distinction) 1990: Doctorate (with distinction) 1997: Habilitation Professor Babel's research has evolved significantly over his career, beginning with theoretical work in discrete mathematics and graph theory before transitioning to applied defense technology research. His current focus spans operations research applications in military technology, particularly UAV route planning, missile guidance systems, and logistics optimization. He has developed expertise in translating complex mathematical concepts into practical engineering solutions for defense applications, with particular emphasis on kinematic constraints in path planning and risk assessment in navigation. An analysis of his publication trends reveals a clear shift from pure graph theory (1990-2005) toward increasingly applied research in aerospace engineering and defense technology (2010-present). His recent work demonstrates sophisticated integration of mathematical optimization with real-world constraints in military applications, with growing emphasis on cooperative systems, real-time replanning, and decentralized decision-making for missile and UAV fleets. His contributions have been recognized with: Teaching Award of the University of the Bundeswehr Munich (2015), awarded by the Student Convention Study Award of the German Society for Defense Technology eV Professor Babel has supervised over 30 master's and bachelor's theses, primarily focusing on defense-related applications of mathematics and computer science. His research has been supported by substantial external funding from the Federal Ministry of Defense and through multiple industry partnerships with major defense contractors including MBDA Deutschland GmbH and RAM-System GmbH. Current projects include Decentralized Flight Path Planning (2023-2025) and Studies on Technical-Logistical Tasks (2021-2024), demonstrating his continued active engagement in cutting-edge defense research.

• Supply Chain Management
• Operations Management
• Sustainability
• +3 more

Nasrin Asgari is an Associate Professor in Supply Chain Management at Anglia Ruskin University (ARU), located in Cambridge. She holds a PhD in Industrial Engineering from Tarbiat Modarres University and a PGCER in Learning and Teaching from the University of Portsmouth. Education : PhD in Industrial Engineering (SCM), Tarbiat Modarres University PGCER in Learning and Teaching in Higher Education, University of Portsmouth MSc in Industrial Engineering (SCM), University of Tehran BSc in Industrial Engineering (Systems Analysis), Sharif University of Technology Research Interests focus on: Supply Chain Sustainability and Circular Economy Operations Management in Pandemic Scenarios Environmental Hazmat Routing and Fairness ICT in SME Supply Chains Food Waste Mitigation in Hospitality Her recent work addresses challenges like pandemic-driven supply chain resilience and circular economy strategies in fast fashion. Articles span real-world applications in maritime logistics, wheat storage systems, and faith community operations. Awards and Affiliations : Fellow of the Higher Education Academy (FHEA) Associate Editor, 'Supply Chain Analytics' journal Reviewer for 'European Journal of Operational Research' and others Grants and Consulting include a £2,500 grant from the Southland Methodist Trust for operations management in faith communities. She has also led projects on hazmat routing and food waste reduction. Active in editorial roles and international conferences, her research bridges theoretical models with industrial case studies across manufacturing, oil distribution, and hospitality sectors.

Paulo Cesar RibasView profile

Professor

• Energy Logistics
• Offshore Wind Energy Supply Chain Planning
• Oil & Gas Supply Chain Planning
• +5 more

Paulo Cesar Ribas is a Professor in Energy Logistics at Molde University College (HiMolde), Norway. His expertise lies in optimizing supply chains for energy sectors, especially offshore wind and oil & gas industries. He holds a Ph.D. in Electrical Engineering and Industrial Informatics from UTFPR, Brazil, with prior roles including 16 years at PETROBRAS as an Operational Research Analyst, focusing on supply chain planning and optimization. Education: Ph.D. (2012): Electrical Engineering and Industrial Informatics, UTFPR, Brazil Master's (2003): Production and Systems Engineering, PUC/PR, Brazil Bachelor's (1996): Industrial Electrical Engineering, UTFPR, Brazil Specialization (1999): Business Management (ERP Systems), PUC/PR, Brazil Research Interests: Ribas focuses on energy logistics optimization, including offshore wind energy systems, oil & gas supply chains, and low-carbon emission strategies. His work combines discrete event simulation, mathematical modeling, and advanced algorithms to solve complex operational challenges. Recent studies address offshore platform vessel management, pipeline decommissioning, and wind farm maintenance logistics. Key Contributions: His publications emphasize optimization models for supply chain planning, vessel scheduling, and multi-objective algorithms. Notable projects include fleet management strategies for Brazilian offshore operations and helicopter rescheduling in oil industries. He leads the Energy Logistics Research Group (EneLog), collaborating on cutting-edge solutions for sustainable energy logistics. Professional Experience: 2006–2022: PETROBRAS R&D Center – Logistics Research Analyst 2019–2022: Guest Professor at HiMolde 2013–2018: Associate Professor at Veiga de Almeida University, Brazil Labs/Teams: Active contributor to the Energy Logistics Research Group (EneLog), focusing on innovative logistics solutions for renewable and traditional energy sectors.

Ozgur KabadurmusView profile

Assistant Professor

• Supply Chain Management
• Operations Research
• Sustainability
• +3 more

Ozgur Kabadurmus is an Assistant Professor in the Department of Marketing and Supply Chain Management at the University of Wisconsin-Eau Claire, within the College of Business. His research focuses on sustainable supply chain design, operations optimization, and the application of data-driven methodologies in logistics systems. Dr. Kabadurmus holds a Ph.D. in Industrial and Systems Engineering from Auburn University, along with multiple advanced degrees from Istanbul Technical University. Education: Ph.D., Industrial and Systems Engineering, Auburn University M.S., Industrial and Systems Engineering, Auburn University M.S., Industrial Engineering, Istanbul Technical University B.S., Industrial Engineering, Istanbul Technical University Research Interests: His work spans lean manufacturing systems, green logistics optimization, big data analytics for supply chain decision-making, and circular economy models. He has published extensively in journals like Socio-Economic Planning Sciences, Journal of Combinatorial Optimization, and Annals of Operations Research. Key Research Trends: Recent publications emphasize pandemic-resilient supply chains, disruptive technologies in last-mile delivery, and multi-objective optimization for carbon footprint reduction. His methodologies often integrate machine learning and simulation tools for predictive analytics. Grants & Advising: While specific grants are not listed, his collaborative work with industry partners (e.g., logistics firms) indicates applied research funding. No advisee information is included in the provided text. Labs/Teams: Affiliated with the College of Business research initiatives in supply chain innovation and sustainable operations.

Sebastian UrrutiaView profile

Professor

• Operations Research
• Optimization
• Integer Programming
• +4 more

Sebastian Urrutia is a Professor in the Faculty of Logistics at Molde University College (HiMolde), specializing in Operations Research and Optimization. He holds a PhD in Computer Science from Pontifical Catholic University of Rio de Janeiro (2005) and a BSc in Computer Science from the University of Buenos Aires (2001). His research focuses on Integer Programming, Approximation Algorithms, Graph Theory, and applications in Healthcare Logistics, Transportation, and Sports Scheduling. Key research interests include optimization methods for healthcare systems, maritime inventory routing, and algorithmic solutions for complex scheduling problems. His work bridges theoretical advancements in combinatorial optimization with practical applications in logistics and transportation. Recent publications emphasize Benders decomposition for healthcare logistics, polynomial-time graph algorithms, and maritime routing optimization. He has contributed to over 40 peer-reviewed articles in journals like European Journal of Operational Research and Networks . Urrutia’s academic contributions include developing exact and heuristic methods for NP-hard problems, with notable work on the Double Traveling Salesman Problem with Multiple Stacks and token swapping algorithms on cographs.

Arild HoffView profile

Professor

• Operations Research
• Combinatorial Optimization
• Vehicle Routing
• +3 more

Arild Hoff is a Professor of Quantitative Logistics at Molde University College, Faculty of Logistics. He teaches courses including LOG500 Management Models and Operations Research (Bachelor - Fall semester) and LOG530 Distribution Planning (Bachelor - Spring semester). Previously, he has taught several subjects within informatics, inventory and production management and exact optimization methods, both at bachelor and master level. His educational background includes: PhD in Logistics – Molde University College (2006) Cand. Scient. – University of Bergen (1998) Cand. Mag. – Molde University College (1994) Marketing – Trondheim Business School (1991) Business Economist – Trondheim Business School (1987) Professor Hoff's research focuses on operations research, planning, optimization and decision support, with particular emphasis on solution methods for combinatorial optimization problems, such as vehicle routing and hub location. His PhD thesis addressed "Heuristics for Rich Vehicle Routing Problems," exploring search methods for solving advanced vehicle routing problems with special constraints. His recent publications demonstrate a strong focus on maritime logistics, inventory routing problems, and optimization methods under uncertainty. His work spans applications in aquaculture, disaster relief, waste collection, and transportation planning, with a consistent emphasis on developing and applying advanced optimization techniques to complex real-world problems. Professor Hoff is actively involved in research groups including Energy Logistics (EneLog) and Planning, Optimization and Decision Support, with additional interests in aquaculture and other marine industries.

Jean-François CordeauView profile

Professor

• Logistics
• Transportation
• Combinatorial Optimization
• +3 more

Jean-François Cordeau is a Professor at HEC Montréal, holding the Chair in Logistics and Transportation. He is affiliated with the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) and the Group for Research on Decision Analysis (GERAD). His expertise spans Logistics, Transportation, Combinatorial Optimization, and Mathematical Decomposition. Education: M.Sc. in Operational Research from HEC Montréal and Ph.D. in Engineering Mathematics from Polytechnique Montréal. Research focuses on logistics networks, transportation optimization, and stochastic modeling. Notable contributions include work on vehicle routing, hub network design, and supply chain planning. Recent publications address facility location under uncertainty, electric vehicle routing, and crowd-shipping optimization. Recipient of the Best Application Paper at the 10th IFAC Conference (2022) for a case study on optimizing routes for COVID-19 testers. Supervised 17 graduate students in recent years, including 3 PhD graduates and 14 MSc projects in logistics optimization and supply chain management. Teaches courses such as Optimization of Logistics and Transportation Networks and Planning and Control of Logistics Systems . Active in industry collaborations, contributing to maritime logistics, railway operations, and intermodal transportation solutions.

• Sustainable Supply Chains
• Transportation Logistics
• Urban Logistics
• +3 more

Sonja U.K. Rohmer is an Assistant Professor at Eindhoven University of Technology (TU/e) and holds a joint position as Assistant Professor at HEC Montréal since July 2021. She is affiliated with the Operations, Planning, Accounting & Control (OPAC) group within the School of Industrial Engineering and Innovation Sciences. Her research focuses on applying Operations Research to address sustainability challenges in supply chains and urban logistics, particularly in food systems and perishable goods distribution. Academic Background: She earned her PhD in Operations Research and Logistics from Wageningen University (2019) and holds degrees from the University of Strathclyde (BSc Management Science/Economics) and Polytech Tours (MRes Computer Aided Decision Support). During her PhD, she conducted research at CIRRELT (Canada), Dalian Maritime University (China), and Chulalongkorn University (Thailand). Research Interests: Her work emphasizes sustainable urban logistics, last-mile delivery innovations, food waste reduction through supply chain optimization, and the integration of new technologies in agriculture. She explores metropolitan solutions for perishable goods logistics and the environmental-economic trade-offs in food distribution systems. Projects: She leads/co-leads initiatives like the CropMix OPAC project (2023–2027) on food logistics and the Cross-KIC Sustainable Cities project (2020). These projects aim to develop scalable solutions for urban food systems and sustainable supply chain networks. Collaborations: Active collaborations span institutions in Canada, China, Thailand, and Europe, focusing on vehicle routing optimization, cooperative logistics frameworks, and perishable inventory management. Advising/Grants: Supervises 10 academic works and secures grants targeting sustainable urban logistics, with a focus on food systems and emission reduction technologies.

Karn VohraView profile

Research Fellow

• Air Pollution
• Environmental Health
• Atmospheric Chemistry
• +3 more

Dr. Karn Vohra is a Research Fellow at the School of Geography, Earth and Environmental Sciences, University of Birmingham. He holds a PhD in Environmental Health and Risk Management (2021) from the same institution, along with an MTech (2015) and BTech (2013) in Civil Engineering from the Indian Institute of Technology Kanpur. His research focuses on air pollution sources, health impacts, and inequities, utilizing ground/space-based observations and models. He has contributed to projects like CLEETS and the Global Burden of Disease (GBD) Collaborator Network, and serves as a Review Editor for Frontiers in Sustainable Cities . Education: PhD in Environmental Health and Risk Management (2021), University of Birmingham MTech in Civil Engineering (2015), Indian Institute of Technology Kanpur BTech in Civil Engineering (2013), Indian Institute of Technology Kanpur Research Interests: Combines observations and models to study air pollution’s influence on atmospheric chemistry and public health. Key areas include novel pollution sources, long-term air quality trends, and health disparities at global, regional, and urban scales. His work emphasizes equity and policy relevance, with a focus on tropical cities and fossil fuel emissions. Professional Roles: Guest Lecturer at UCL (2021–2024), member of the iCACGP-IGAC Early Career Committee, and contributor to peer reviews for prestigious journals like Science and The Lancet Planetary Health . Delivers workshops on academic CVs and has presented at NASA Langley, IIT-Bombay, and other institutions. Publications: Focus on air pollution’s health impacts, satellite data applications, and global disease burden forecasting. Recent work explores oil/gas lifecycle effects, ammonia emissions, and tropical urban air quality trends.

• Supply Chain Management
• Operations Management
• Sustainability
• +3 more

Nasrin Asgari is an Associate Professor in Supply Chain Management at Anglia Ruskin University (ARU), part of the Faculty of Business and Law. She joined ARU in October 2022 after over 20 years in academia, including roles as Senior Lecturer, Course Leader, and Module Leader at Roehampton University. Her expertise spans supply chain management, operations management, sustainability, and circular economy. Asgari holds a PhD in Industrial Engineering (Supply Chain Management) from Tarbiat Modarres University, along with a PGCER in Learning and Teaching in Higher Education from the University of Portsmouth. Her research interests include circular economy strategies, food waste mitigation through lean supply chain practices, and the role of ICT in sustainable supply chains for SMEs. She has supervised four PhD students and contributed to grants such as the £2,500-funded 'Operations Management Applications in Faith Communities' (2018). Asgari is a Fellow of the Higher Education Academy (UK) and serves as an associate editor for Supply Chain Analytics , reviewing for top journals like European Journal of Operational Research . Her 15+ years of research involve real-world case studies in sectors like automotive manufacturing, oil distribution, and maritime logistics. Notable publications address challenges in fast fashion circularity, pandemic operations management, and hazmat routing fairness. She has presented globally at conferences such as POMS and EURO, emphasizing practical applications of operations research in urban service facility location and sustainable logistics.

Stefan GuerickeView profile

Professor

• Data Science
• Business Intelligence
• Operations Research
• +3 more

Stefan Guericke is a Professor of Business Informatics at the University of Applied Sciences Osnabrück since 2022, specializing in Data Science and Business Intelligence. He holds a PhD in Decision Support & Operations Research from the University of Paderborn (2014) and a degree in Business Informatics from the University of Paderborn and Beijing Institute of Technology. His professional experience includes roles at A.P. Møller-Mærsk, where he served as Senior Engineering Manager and Senior Data Scientist, focusing on logistics optimization and data-driven solutions. Research interests span logistics network design, mathematical optimization, containerization problems, and the application of advanced analytics in microservices architectures. He has contributed to solving complex problems in liner shipping, cargo allocation, and fleet deployment through both heuristic and exact methods. His work bridges academic research and industrial applications, emphasizing practical solutions for supply chain challenges. Teaching responsibilities include courses on Data Science fundamentals, Deep Learning, Operations Research, and Statistics. He is affiliated with the Faculty of Management, Culture, and Technology at HSO, contributing to interdisciplinary projects and student mentoring.

Till BeckerView profile

Professor

• Digital Transformation
• Data Analytics
• Artificial Intelligence in Business Processes
• +3 more

Prof. Till Becker is a Professor of Business Information Technology at the University of Applied Sciences Emden/Leer. He holds a doctorate and previously worked in business consulting and auditing before joining academia. His research focuses on data-driven modeling of complex systems, digital transformation in enterprises, and AI applications in logistics and manufacturing processes. He leads projects on autonomous drone inspection, sustainable mobility, and logistics optimization funded by institutions like the German Research Foundation (DFG). Education: Studied Wirtschaftsinformatik (Business Information Technology), completed doctoral studies in Bremen. Professional Experience: Prior roles in enterprise consulting and auditing. Research interests include stochastic network analysis, process mining in logistics, and human factors in cyber-physical production systems. He has published extensively on topics such as material flow network modeling, supplier selection optimization, and AI-driven logistics solutions. Professional Roles: Dean of the School of Economics, reviewer for scientific journals and conferences. Active in grant evaluation and academic governance. Involved in interdisciplinary projects bridging industry and academic research. Labs/Teams: Participates in the 'Transfer Center for Sustainable Mobility' and other applied research initiatives focused on logistics innovation and digital transformation strategies.

Magdalene MarinakiView profile

Researcher

• Optimization
• Optimal Control
• Nature Inspired Algorithms
• +5 more

Magdalene Marinaki serves as a Researcher and permanent laboratory teaching personnel at the Technical University of Crete (TUC), School of Production Engineering and Management. She also teaches in the Hellenic Open University's Social Sciences Graduate Program. Her expertise lies in optimization methodologies, optimal control systems, and nature-inspired algorithms applied to logistics and manufacturing. She holds a Diploma, MSc, and PhD from TUC, specializing in Production Engineering and Management. Her research focuses on computational optimization, metaheuristics, vehicle routing problems (VRP), energy-efficient transportation systems, and structural control. She has authored 4 books and over 50 journal articles, with additional contributions to conference proceedings. Notable projects involve EU-funded research on blockchain applications in maritime logistics, electric vehicle routing, and unmanned aerial vehicle (UAV) path optimization. Her recent work emphasizes sustainable transportation solutions, including EV charging infrastructure planning and drone-integrated delivery networks. She has developed algorithms like teaching-learning-based optimization and hybrid swarm intelligence techniques, addressing real-world challenges in supply chain management and smart manufacturing systems.

Sandra LechtenbergView profile

Research Fellow

• Supply Chain Management
• Logistics
• Supply Chain Analytics
• +5 more

Dr. Sandra Lechtenberg is a Guest Researcher at the Chair of Information Systems and Supply Chain Management at the School of Business and Economics, University of Münster. She has been working as a Research Assistant at this chair since July 2017. Her research and teaching focus on supply chain management, logistics, and the digital transformation of these fields. Her educational background includes: Master of Science in Information Systems from the University of Münster (2015-2017) Bachelor of Science in Business Information Systems from the University of Münster (2011-2015) Dr. Lechtenberg's research interests center on the intersection of information systems and supply chain management. She specializes in Supply Chain Analytics , exploring how data-driven approaches can optimize logistics operations. Her work in Digital Supply Chains investigates the impact of digital transformation on traditional supply chain processes, particularly focusing on transport planning and coordination. She has also made significant contributions to Humanitarian Logistics , examining how vendor-managed inventory systems can be adapted for disaster relief operations. Her publication portfolio demonstrates a clear trajectory from foundational research in humanitarian logistics toward more advanced applications of artificial intelligence and data analytics in commercial supply chains. The evolution of her work reflects broader industry trends toward digitalization and data-driven decision making in supply chain management. Dr. Lechtenberg has supervised numerous bachelor's and master's theses on topics including: Optimization approaches for operational freight routing Digital supply chain implementations Data-driven performance analysis in distribution processes Artificial intelligence applications in inventory management Mobility-as-a-Service models She teaches courses across multiple semesters including Operations Management, Digital Supply Chains, and Data-driven Transport Planning, demonstrating her expertise in both foundational and cutting-edge supply chain topics.