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Alexander HübnerView profile

Professor

• Supply Chain Management
• Sustainable Logistics
• Retail Operations
• +3 more

Prof. Alexander Hübner is a full Professor of Business Administration at the Technical University of Munich (TUM), leading the Chair for Supply and Value Chain Management at TUM Campus Straubing. His research focuses on sustainable supply chain design, decision support systems in retail, healthcare logistics, and operations optimization. He holds a PhD from the Catholic University of Eichstätt-Ingolstadt and has held roles including Associate Professor at MIT's Luxembourg Centre for Logistics and Head of the Institute for Supply Chain Management at the European Business School. He has extensive industry experience, including six years as a project manager at McKinsey & Company. Research & Awards: Hübner’s work spans retail shelf space optimization, inventory management, and hospital logistics. Notable contributions include applying Markov Decision Processes to patient-bed allocation and exploring omnichannel retail fulfillment. He has received the Emerald Literati Award (2019) and ranks among WirtschaftsWoche's Top 50 Economists (2020). He chairs the EURO Working Group on Retail Operations and serves on editorial boards of leading journals. Education & Career: After graduating in Business Administration from Eichstätt-Ingolstadt, he earned his PhD there and became a junior professor. His career includes roles at MIT, European Business School, and McKinsey. He currently advises on logistics for the German Logistics Association (BVL) and leads interdisciplinary research on sustainable supply chain innovation.

• Optical Networking
• Wireless Communications
• Vehicular Networks
• +7 more

Dr. Wissam Fawaz is a professor-level academic with extensive contributions to optical networking, vehicular communication systems, and UAV-aided network solutions. His work spans over two decades, focusing on Quality of Service optimization , Free Space Optical (FSO) communications , and Mobile Edge Computing (MEC) . Key collaborations with Chadi Abou-Rjeily, Maurice Khabbaz, and Ken Chen Published in IEEE Transactions on Wireless Communications , IEEE Communications Magazine , and Computer Networks Research interests center on network reliability , resource allocation , and next-generation communication architectures . His work explores: UAV-based network repair mechanisms QoS differentiation in optical and vehicular networks Machine learning integration for MEC task offloading Buffer-aided cooperative FSO systems Recent publications (2022) demonstrate innovations in: Acoustic synchronization protocols D2D-enabled Het-MEC systems Lyapunov-optimized resource allocation

Achim KobersteinView profile

Professor

• Design of decision support systems
• Modelling and optimization of deterministic and stochastic planning problems
• Applications in operations and supply chain management

Achim Koberstein is a Professor of Business Administration with a focus on Business Informatics and Operations Research at the Faculty of Economics and Business Administration (Wiwi) , European University Viadrina Frankfurt (Oder). His academic career spans multiple institutions, including Goethe-University Frankfurt and the University of Hamburg. Education: Doctorate in Business Informatics (Dr. rer. pol.) at the University of Paderborn (2005) Diploma in Computer Science (Minor: Business Administration) at the University of Paderborn (2002) His research centers on decision support systems , stochastic and deterministic optimization models , and applications in supply chain and automotive production planning . Recent work explores drug shortages, drone logistics, and hybrid electric vehicle routing. His publications highlight a focus on stochastic programming , MILP modeling , and real-world logistics challenges across healthcare, automotive, and maritime domains. Current affiliations include leadership roles in the Faculty of Economics and Business Administration's Dean's team. Contact: Email: koberstein@europa-uni.de Office: Main Building (HG) 043, Große Scharrnstraße 59, 15230 Frankfurt (Oder)

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

Christian Ackermann serves as Academic Staff at the Institute of Business Administration and Information Systems within the Faculty of Mathematics, Natural Sciences, Economics and Computer Science at the University of Hildesheim. His work focuses on operations research with particular emphasis on transportation logistics and optimization problems in dynamic environments. Dr. Ackermann's research spans dynamic transportation systems, with specialization in Dial-a-Ride Problems and ride-hailing optimization. His work combines theoretical operations research with practical applications in urban mobility and resource allocation. He has developed novel approaches for dynamic routing, vehicle repositioning, and real-time decision making in transportation systems. His research demonstrates strong methodological rigor while addressing real-world challenges in transportation logistics. His publication record shows a consistent trajectory of innovation in solving complex dynamic optimization problems. Ackermann's work reveals a pattern of developing multiple plan approaches and repositioning strategies that significantly improve efficiency in demand-responsive transport systems. His research bridges theoretical operations research with practical urban mobility challenges, making substantial contributions to both academic knowledge and practical applications. Dr. Ackermann has also contributed to educational initiatives, particularly through the development of optimization methods for university IT-Speed Dating events, which facilitate student-company matching and career development opportunities. His work with Professor Julia Rieck demonstrates strong collaborative research within the University of Hildesheim's operations research community.

Tal RavivView profile

Associate Professor

• Operations Research
• Transportation
• Logistics
• +2 more

Prof. Tal Raviv is an Associate Professor in the Department of Industrial Engineering at the Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. He serves as head of the Shlomo Shmeltzer Institute for Smart Transportation and co-heads the Transportation and Logistics Lab. His educational background includes: BA in Economics from Tel Aviv University (1993) MBA from Recanati School of Business, Tel Aviv University (1997) PhD in Operations Research from Technion (2003) Postdoctoral fellowship at Sauder School of Business, University of British Columbia (2004-2006) Prof. Raviv's research focuses on operations research with emphasis on transportation and logistics, particularly smart transportation and sustainable logistics. His work develops optimization models for bike-sharing systems, vehicle routing, and urban mobility to enhance efficiency and user satisfaction while addressing sustainability challenges. Recent publications reveal a strong trend in shared mobility systems optimization, including inventory control and repositioning strategies for bike-sharing networks, analysis of user dissatisfaction due to unusable vehicles, and flexible delivery solutions using parcel lockers. His research bridges theoretical operations research with practical industry applications in transportation networks. Prof. Raviv has advised startup companies, applying his expertise to real-world business challenges. While specific grant details are not provided, his work demonstrates significant industry relevance through practical implementations. He leads the Transportation and Logistics Lab and the Shlomo Shmeltzer Institute for Smart Transportation, where his team develops innovative solutions for modern transportation challenges including data-driven routing, sustainable logistics, and smart infrastructure optimization.

• Discrete Optimisation
• Scheduling Theory
• Operations Research
• +7 more

Frank Werner is apl. Professor (Adjunct Professor) of Mathematical Optimisation at the Otto von Guericke University Magdeburg, Faculty of Mathematics, Institute for Mathematical Optimization. Since 1989 he has been a permanent member of this institute, leading DFG- and EU-funded projects, supervising international doctoral students and post-doctoral researchers, and serving on the editorial boards of more than a dozen journals. Education 1961–1973: Nordpark-Oberschule, Clara-Zetkin-Oberschule, EOS Geschwister Scholl, Magdeburg (Abitur ‘Ausgezeichnet’) 1975–1980: Diploma in Mathematics, Technische Hochschule Magdeburg (Dipl.-Math., grade ‘Ausgezeichnet’) 1980–1983: Doctoral studies, TH Magdeburg (Dr. rer. nat., Summa cum laude) 1987–1989: Habilitation, TH Magdeburg (Dr. rer. nat. habil.) Research Interests Werner’s work lies at the intersection of applied mathematics, operations research and computer science. He designs exact and heuristic algorithms for NP-hard scheduling and sequencing problems, analyses the stability of solutions under interval data uncertainty, and applies these techniques to real-world domains such as machine scheduling, vehicle routing, train timetabling, supply-chain coordination, and healthcare logistics. Recent activities extend to the use of machine-learning techniques to enhance optimisation algorithms. Scientific Awards & Honours Best Paper Award, International Journal of Production Research Best Paper Award, IISE Transactions NOC Prize 2009, INCOM Symposium Moscow, for work on hierarchical mobile-robot scheduling Supervision, Grants & Service Since 1992 Werner has coordinated numerous DFG and EU projects and acted as principal investigator for international collaborations involving Belarus, Russia, Poland, the USA, Mexico, Iran, Nepal, China and Finland. He has mentored Alexander von Humboldt fellows and long-term visiting scholars, and currently serves as Editor-in-Chief of the MDPI journal Algorithms , Associate Editor for Journal of Scheduling and International Journal of Production Research , and on the editorial or advisory boards of more than ten further journals. Laboratory & Teams He heads the Scheduling & Discrete Optimisation group within the Institute for Mathematical Optimization, maintaining active partnerships with Tribhuvan University (Nepal), Autonomous University of Baja California (Mexico), Belarusian State University, École des Mines de Saint-Étienne (France), University of Alabama in Huntsville (USA), and many others.

Markus HilbertView profile

Researcher

• Sustainable Production
• Energy-Efficient Production Planning
• Multi-Criteria Optimization
• +3 more

Dr. Markus Hilbert is a researcher at FernUniversität in Hagen's Faculty of Business Administration and Economics within the Department of Business Administration, especially Quantitative Methods and Business Mathematics. Since May 2018, he has conducted research and supervised student theses while completing his doctorate in May 2024 on energy-flexible production planning. He earned a Master of Science in Business Mathematics from TU Dortmund University (2017), where his thesis investigated integrated reporting in Europe and his mathematical focus centered on optimization techniques. Hilbert's research targets sustainable industrial production through model-driven analysis of energy and emission savings, developing innovative methods like the Center of Gravity indicator for sustainability assessment. His work specializes in multi-criteria optimization for eco-energy-efficient scheduling, lot-sizing, and demand response systems, directly addressing climate targets by reducing industrial CO₂ footprints. His publication portfolio reveals a concentrated trend toward operationalizing sustainability in production systems, with 5 of 6 articles (2023-2024) advancing tri-criteria optimization frameworks that balance economic, energy, and environmental objectives in real-world manufacturing contexts. Key scientific recognition includes: Best Dissertation Award at Dies Academicus 2024 Outstanding Scientific Paper Award for Young Scientists at Dies Academicus 2024 Hilbert actively mentors students on optimization topics including machine learning in metaheuristics, digital twins, and robust scheduling while leading the Applied Optimization research group. This team advances projects like drone-based vehicle routing, nurse rostering for dialysis clinics, and waste-to-energy facility management under the university's Energy, Environment & Sustainability research focus. He contributes to the Management of energy-flexible factories (MaXFab) project and the Sustainable Supply Chains research cluster as a member of the Society for Operations Research, bridging theoretical optimization with industrial decarbonization challenges.

Alfred HößView profile

Professor

• Autonomous Driving
• Automotive Electronics
• Electric Mobility
• +6 more

Prof. Dr. Alfred Höß is a Professor of Electrical Engineering at the Amberg-Weiden University of Applied Sciences, where he has served since 1995. He chairs the examination committee for multiple engineering programs including Electrical and Information Technology, Software Systems Technology, and Industrial IT. His academic leadership extends through over a decade of service on the university senate and various planning committees. Dr. Höß completed his electrical engineering studies at Friedrich-Alexander-Universität Erlangen-Nürnberg (1983-1987), earning his diploma with distinction in 1988. He earned his PhD from Ruhr-Universität Bochum in 1991 with distinction, followed by industry experience at Siemens AG in both medical and automotive divisions before joining academia. Friedrich-Alexander-Universität Erlangen-Nürnberg: Electrical Engineering (1983-1987) Ruhr-Universität Bochum: PhD in High-Frequency Technology (1988-1991) His research spans cutting-edge automotive technologies with particular focus on autonomous driving systems, electric mobility solutions, and wireless communication architectures. Dr. Höß leads multiple EU-funded research projects including Archimedes, AI4CSM, AUTBUS, and Powerized, with emphasis on practical implementations for real-world transportation challenges. His work integrates artificial intelligence with edge computing to solve complex problems in vehicle communication, battery management, and autonomous navigation systems. His publication portfolio demonstrates strong emphasis on practical applications of machine learning in automotive contexts, particularly in range prediction for electric vehicles, federated learning for battery management, and communication systems for autonomous vehicles operating in challenging environments. His research shows consistent progression from fundamental electrical engineering principles to advanced AI integration in transportation systems. Dr. Höß has received notable academic recognition including the Diplompreis Elektrotechnik in 1988 and the Gebrüder-Eickhoff-Preis in 1992 for his doctoral work. Diplompreis Elektrotechnik (1988) Gebrüder-Eickhoff-Preis (1992) He actively mentors numerous graduate students across multiple research projects, supervising master's theses and research assistantships. His laboratory for electrical measurement technology serves as the foundation for hands-on student research. Dr. Höß secures substantial research funding through EU projects and industry collaborations, focusing on practical implementations of advanced automotive technologies. His administrative leadership includes chairing examination committees for multiple engineering programs, demonstrating his commitment to academic excellence and curriculum development. Dr. Höß directs the Electrical Measurement Technology Laboratory at Amberg-Weiden UAS, which serves as the primary research facility for his automotive electronics work. His research teams collaborate across multiple EU-funded projects including ADACORSA for drone communications, PRYSTINE for programmable automotive intelligence systems, and AUTBUS for rural autonomous transportation solutions. These interdisciplinary teams combine expertise in electrical engineering, computer science, and applied mathematics to tackle complex challenges in modern mobility systems.