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Marina Epelman is a Professor in the Department of Industrial and Operations Engineering at the University of Michigan , where she has been a faculty member since Fall 1999. She also serves as the Associate Chair of Graduate Education . Her teaching includes graduate and undergraduate courses in linear and nonlinear optimization , such as Linear Programming II and Nonlinear Programming. PhD in Operations Research from MIT (1999) Her research focuses on mathematical programming , covering linear, semidefinite, and nonlinear optimization , with applications in healthcare operations (e.g., medical residency scheduling, radiation therapy optimization), automotive scheduling (e.g., crash test and vehicle prototyping), and algorithm design (e.g., simplex methods, sampled fictitious play, column generation). Recent publications highlight her work in stochastic optimization for healthcare scheduling, dose distribution in radiation therapy , and automotive production planning . Her methodologies often bridge dynamic programming , Markov decision processes , and network optimization .

• Mathematical Programming
• Linear Optimization
• Nonlinear Optimization
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J.A. Annema is a researcher at Delft University of Technology's School of Technology, Policy and Management , specializing in Transport and Logistics . With over 117 research outputs and active collaborations across Europe, Annema focuses on sustainable transport policy analysis, vehicle-grid integration, and multimodal transport systems. Key contributions include analyzing societal impacts of bike-sharing integration (2025) and modeling freight decarbonization strategies (2023). Active in 5 major research areas: Transport Policy (100%), Vehicle Systems (86%), Electric Vehicles (59%), Netherlands (55%), Consumers (50%), Road Infrastructure (44%) Recent work explores policy implementation barriers (2025) and behavioral impacts of sociodemographics (2024). As a supervisor, Annema has guided research on European high-speed rail networks (2023) and focus group studies on peak credit systems (2020). Current affiliations include editorial roles at Edward Elgar Publishing since 2013, and ongoing participation in policy discussions about CO2 mitigation (2013-2023). Network analysis shows strong institutional ties to TU Delft and external collaborations across Europe.

• Transport Policy
• Sustainable Transportation
• Vehicle-to-Grid Systems
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Christian Bierwirth is a Professor of Business Administration, specializing in Production and Logistics, at the Faculty of Law, Economics and Business, Martin Luther University Halle-Wittenberg. He holds the Chair of Production and Logistics and has been in this role since 2003. His academic journey includes a PhD (1992) and Habilitation (1999) in Logistics from the University of Bremen, and prior teaching roles at TU Dresden, University Rennes I, and as Acting Professor in Halle-Wittenberg (2002-2003). Education: Mathematics and Philosophy (1981-1988) at Heidelberg University Key Research Areas: Scheduling Algorithms, Port Logistics, Vehicle Routing, Optimization, Production Management Current Contact: christian.bierwirth@wiwi.uni-halle.de | Office: Room 312, Große Steinstraße 73, Halle (Saale) His research focuses on operational optimization in logistics systems, including container terminal operations , green transportation , and job shop scheduling . Recent work addresses environmental sustainability through emission-minimizing routing and eco-labeling of freight services. He pioneered GRASP and genetic algorithm applications in dynamic manufacturing environments. Publications span maritime logistics (berth allocation, crane scheduling), intermodal transport networks, and supply chain design under constraints. Notable contributions include integrated planning frameworks for production-distribution networks and synchronization models for logistics vehicles. Since joining Halle-Wittenberg, he has led teaching and research initiatives in logistics, contributing to national and international academic discourse through publications and conference participation.

• Production Management
• Logistics
• Vehicle Routing
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Yun Zhou is an Associate Professor in the Department of Operations Management at DeGroote School of Business, McMaster University. His research bridges theoretical operations research with practical applications in supply chain optimization, revenue management, and healthcare logistics. PhD: Rotman School of Management, University of Toronto Doctorate & B.Sc.: Tsinghua University Dr. Zhou specializes in revenue management , supply chain coordination , and dynamic pricing , particularly in on-demand delivery systems and sharing economy platforms . His work addresses uncertainty in demand , perishable product inventory , and healthcare operations challenges like vaccine allocation and surgical scheduling . Recent publications focus on robotic warehouse systems (e.g., rack-moving robots for order picking), price and matching dynamics in sharing economies , and blood supply chain coordination . These span optimization algorithms , stochastic modeling , and empirical retail analytics . SSHRC Grant: Addressing societal challenges through operations research

• Operations Management
• Supply Chain Management
• Revenue Management
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Olivier Labarthe is an Associate Professor at Kedge Business School , affiliated with the MEI team and collaborating with institutions like Laboratoire de l'intégration, du matériau au système (IMS-Bordeaux) , Université de Bordeaux , and School of Industrial and Systems Engineering [Georgia Tech] . His work bridges Physical Internet concepts with urban logistics and multi-agent systems . Academic Rank: Associate Professor Research Focus: Urban Freight Logistics, Multi-mode Mobility, Enterprise Interoperability Collaborations: Georgia Tech, CNRS, IMS-Bordeaux Research Interests : He specializes in Physical Internet applications for urban logistics , integrating freight transportation with people mobility . His studies explore multi-mode transport systems , synchromodality , and green logistics using agent-based modeling and data-driven optimization . Article Trends : His recent work (2024) emphasizes Physical Internet in urban freight transshipment and hyperconnected synchromodal networks . Earlier publications (2023-2010) cover cargo bike routing , multi-agent interoperability , and multicriteria supplier selection , reflecting a consistent focus on sustainable logistics and smart city solutions . Labs & Collaborations : He works with the MEI team at Kedge Business School, the IMS-Bordeaux laboratory, and the School of Industrial and Systems Engineering [Georgia Tech] . His collaborations span institutions like CNRS , CEA Leti , and industry partners such as Stellantis and Thales .

• Operations Research
• Supply Chain Management
• Urban Logistics
• +5 more

Thomas C Henderson is a tenured Professor at the School of Computing within the College of Engineering at the University of Utah. His research focuses on autonomous systems , computational models , and intelligent machine systems , with specific interests in biosystem simulation, distributed systems, and adaptive algorithms. He has contributed to Bayesian sensor networks , UAS traffic management , and probabilistic logic frameworks for intelligent agents. Current academic appointments since 1989 Adjunct roles in Biomedical Engineering Active in IEEE committees (2024-2025) Research trends in recent publications emphasize autonomous aircraft coordination , probabilistic reasoning , and multi-sensor integration . Key subfields include lane-based airspace modeling, reinforcement learning for UAS, and pseudogradient navigation techniques. His work has received recognition through a Best Paper Award (IEEE 2008) and the US Air Force Summer Faculty Fellowship . Strategic deconfliction protocols Dynamic data-driven applications Structural health monitoring systems He actively mentors undergraduate research through courses like Deep Learning Capstone and Senior Capstone Design . Current grants include "Deep Learning in AI and Robotics" (2024-2029) and "Robust Reasoning using Geometric SAT/PSAT" (2022-2023).

• Data management and data science
• Artificial intelligence
• Distributed computing and systems software
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Professor Aydin Nassehi is Head of the School of Electrical, Electronic and Mechanical Engineering at the University of Bristol, UK. He holds the academic rank of Professor of Production Systems and actively contributes to research in smart manufacturing, agent-based modeling, and digital twins. Research interests include AI integration in manufacturing, generative design, and systems optimization. He has collaborated extensively with Dr. Ben Hicks on projects like ProtoTwinning and Designing the Future , focusing on digital twin applications and transdisciplinary engineering. His scholarly output spans over 150 publications, with recent work emphasizing explainable AI, sustainability in food supply chains, and biomedical manufacturing innovations. Publications demonstrate expertise in machine learning, digital twin cost modeling, and additive manufacturing optimization. His projects have received funding from EPSRC and other academic institutions. Current research explores Industry 5.0 challenges, balancing automation with human-centric approaches, and advancing interoperability in cloud manufacturing environments.

• Smart Manufacturing Systems
• Agent-Based Manufacturing Planning and Control
• Artificial Intelligence in Manufacturing
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Angelica Duran is a Professor of English, Comparative Literature, and Religious Studies at Purdue University, with a courtesy appointment in Critical Disability Studies. She holds a Ph.D. from Stanford University (2000), an M.A. (1988) and B.A. (1987) from the University of California, Berkeley. Her research spans 16th–21st century comparative literature, focusing on English and Spanish traditions, religious studies, disability studies, and translation theory. She has published extensively on Milton, including monographs and edited volumes exploring his global reception, visual adaptations, and pedagogical applications. Her recent publications examine Milton’s transnational influence, the role of prosthetic sign systems in literary interpretation, and intersections of disability, movement, and theological discourse. She bridges early modern and contemporary analyses, addressing issues of translation, cultural adaptation, and digital humanities. Duran has received two Irene Samuel Memorial Awards for her edited volumes Milton in Translation (2017) and Milton Across Borders and Media (2023). She serves on editorial boards and academic committees, including the Renaissance Society of America's Conference Chair (2022–27). As a comparative literature scholar, she connects European, American, and global traditions, emphasizing religious, diasporic, and pedagogical dimensions. Her work explores how texts traverse ideological, physical, and disciplinary boundaries.

• Comparative Literature
• Disability Studies
• Religious Studies
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Dominic Henze is a Professor at the Technical University of Munich (TUM), affiliated with the Faculty of Informatics and the Chair of Software Engineering . He leads research initiatives in Cyber-Physical Systems , Smart Environments , and Machine Learning Applications , with a particular focus on Fog Computing architectures. His research spans theoretical frameworks and real-world implementations, including collaborations with institutions like Carnegie Mellon University and industry partners such as Siemens AG and Zeiss IMT . His work addresses challenges in resource allocation , predictive maintenance , and blockchain integration within industrial contexts. Dr. Henze's publications reveal a consistent focus on Fog Computing architectures, IoT resource management, and educational software engineering. Key trends include self-organizing network systems , decentralized supply chain traceability , and smart environment coordination . He has advised numerous students on topics ranging from QoS negotiation to autonomous drone coordination . As an educator, he has taught multiple iPraktikum courses and seminars on iOS development and Agile Project Management since 2014, with publications exploring team composition strategies and distributed programming pedagogy.

• Cyber-Physical Systems
• Smart Environments
• Machine Learning Applications
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Mi Gan is an Associate Professor at the School of Transportation and Logistics, Southwest Jiaotong University, where he serves as Supervisor of Doctorate Candidates and Supervisor of Master's Candidates. He is also Dean of the Smart Logistics Big Data Application Technology Research Institute at the university. His academic career spans over a decade at Southwest Jiaotong University, with additional research experience at the University of Arizona and Northwestern University. PhD in Engineering, Southwest Jiaotong University and University of Arizona Master's in Logistics Engineering, Southwest Jiaotong University Bachelor's in Logistics Management, Southwest Jiaotong University Professor Gan's research focuses on critical areas of modern logistics and transportation systems. His work centers on inland port development strategy, big data applications in logistics systems, low-carbon logistics systems, transportation network optimization, and supply chain design. He has pioneered research in new comprehensive freight systems including high-speed rail logistics, smart highway logistics, and urban rail logistics. His interdisciplinary approach combines logistics data science with sustainable and smart logistics system development, addressing pressing challenges in modern transportation infrastructure. Professor Gan has led numerous significant research projects funded by various Chinese government agencies including the National Nature Science Foundation of China, Sichuan Province Social Science projects, and Chengdu City Soft Science Foundation. His work demonstrates a strong applied research orientation with practical implications for urban logistics planning, environmental impact assessment, and transportation network design. Recommended Ph.D.Supervisor Recommended MA Supervisor As an academic supervisor, Professor Gan has guided 573 Master's candidates and numerous Doctoral students. He leads a research team characterized by its 'tense and lively, united and cooperative, loyal and responsible' culture. The team currently supervises 4-6 Master's students, 1-2 Doctoral students, and 1 postdoctoral researcher annually, with international collaboration including Thai Master's students and English-assisted international Doctoral students. His research group has developed into an effective learning-oriented intelligent team since its formation in 2012. Professor Gan's laboratory work centers around the Smart Logistics Big Data Application Technology Research Institute, where he serves as Dean. His team has developed multiple patented technologies including logistics packaging solutions, transportation equipment innovations, and intelligent planning methods for intermodal transport systems. Their work bridges theoretical research with practical applications in China's evolving transportation infrastructure.

• Inland port development strategy
• Big data application in logistics system
• Low-carbon logistics system
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Dr. Yining Hu is a Lecturer at the School of Computer Science , University of Technology Sydney since January 2024. Her research and teaching focus on Artificial Intelligence , Blockchain , Cloud Computing , and Wearable Technology . She holds a PhD from the University of New South Wales and has collaborated with industry partners on blockchain applications for IoT security and sustainability. PhD: University of New South Wales Current role: Lecturer at UTS School of Computer Science Key research areas: Wearables, Blockchain, Cloud Computing Dr. Hu's publications demonstrate her technical expertise in blockchain-IoT integration, with notable works on secure transaction frameworks and carbon offset management. Her recent 2025 paper in Electronics explores blockchain-DNN synergy for IoT security. Earlier works cover wearables' security protocols and adaptive fitness tracking frameworks. She contributes to academic service as a member of the Editorial Board for the International Journal on Data Science and Technology (2024-2027). Her teaching portfolio includes advanced cloud computing and software development courses, with availability for Masters/PhD supervision . Current funded research includes blockchain for food traceability and a 2025-2028 LLM-driven text-to-SQL grant with Hampton Capital.

• Artificial Intelligence
• Blockchain
• Wearable Devices
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Sebastian Karlsson is a Researcher in the Department of Energy Technology at Chalmers University of Technology, Sweden, specializing in industrial decarbonization through carbon capture and storage (CCS) systems. His work focuses on modeling cost-optimal CO 2 transport infrastructure and biomass supply chains for Swedish industries, particularly the pulp and paper sector. His educational background includes a Doctoral thesis titled Energy infrastructures for low-carbon-emitting industries (2023) and a Licentiate thesis on CO 2 transportation infrastructure and biomass supply systems for carbon capture and storage (2021). Research interests center on industrial decarbonization pathways , with expertise in: CO 2 capture and transport network optimization BECCS implementation in biomass-intensive industries Policy-economic analysis of permitting and grid constraints Regional biomass supply chain modeling His methodology integrates systems engineering with climate policy analysis to address Sweden-specific industrial challenges. Publication trends since 2021 reveal consistent focus on Swedish industrial decarbonization , with 9 works spanning journal articles, theses, and conference papers. Key thematic clusters include infrastructure cost optimization (40% of works), biomass-CCS integration (30%), and policy-regulatory analysis (30%), demonstrating technical depth in energy systems modeling applied to real-world industrial contexts. Currently participating in the European Commission-funded project Providing access to cost-efficient, replicable, safe and flexible CCUS (ACCSESS) (2021-2025), he collaborates with senior researchers including Filip Johnsson and Fredrik Normann. No student supervision activities are documented in the provided materials. His research operates within Chalmers' Energy Technology department, contributing to Sweden's national decarbonization strategy through industry-focused technical solutions and policy recommendations.

• Carbon Capture and Storage
• Industrial Decarbonization
• Energy Systems Modeling
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Jelena Andric is an Associate Professor in the Vehicle Engineering and Autonomous Systems department at Chalmers University of Technology, working within the Mechanics and Maritime Sciences school. Her research spans multiple aspects of vehicle engineering with a particular focus on electric and autonomous vehicle technologies. Her research interests primarily center around electric vehicle engineering, battery system design, autonomous vehicle optimization, thermal management systems, computational fluid dynamics, reinforcement learning applications, and hardware-in-the-loop simulation. She has developed expertise in applying advanced computational methods to solve complex vehicle engineering problems, particularly in the areas of battery management and energy optimization. Analysis of her recent publications reveals a strong trend toward optimizing electric vehicle performance, particularly focusing on battery degradation mitigation, thermal management, and energy efficiency. Her work increasingly incorporates artificial intelligence techniques, especially reinforcement learning, to develop sophisticated optimization approaches for electric trucks and autonomous vehicles. The research spans from fundamental fluid dynamics studies to applied engineering solutions for real-world transportation challenges. Dr. Andric has been actively involved in numerous research projects funded by organizations including VINNOVA, the Swedish Energy Agency, CHAIR, and ÅForsk. These projects cover diverse areas such as battery aging prediction, vehicle management strategies for electrified vehicles, electric public transit systems, and virtual engine calibration. Her current research portfolio includes leadership in projects related to simulation-based evaluation of connected vehicles, battery aging prediction for electric autonomous vehicles, AI-cloud-based vehicle management strategies, and transition to electric public transit systems. These projects demonstrate her commitment to addressing critical challenges in sustainable transportation through advanced engineering solutions.

• Electric Vehicle Engineering
• Battery System Design
• Autonomous Vehicle Optimization
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Atsushi Mikami is a Professor at Waseda University's Faculty of Education and Integrated Arts and Sciences. Previously, he held academic positions at Hokkaido University of Education (2013–2023) and Aichi University of Education (2003–2013). His educational background includes a Ph.D. in Education from Hokkaido University (2002) and graduate studies in Education and Letters. Doctoral Degree: Hokkaido University (2002) Graduate School of Education: Hokkaido University (1996–2002) Faculty of Letters: Hokkaido University (1991–1993) Mikami's research focuses on Japanese educational history , emphasizing preparatory schools , night secondary schools , and entrance examination systems . His work explores non-formal education , educational journalism , and career design , particularly in pre-war and post-war Japan. He has authored key studies on institutions like the Kawaijuku and Telecommunications Training Schools . His 15 most recent articles span topics such as the evolution of nationwide preparatory schools, pandemic-era academic collaboration, and historical analyses of certification exams. These works often intersect with urban-rural educational disparities , vocational training , and governmental policies . Scientific awards include the 2012 Tetsushin Alumni Association Commemorative Award and the 2006 Ishikawa Kenji Award for Japanese Educational History Research. He has served on committees like Hokkaido Prefecture's History Compilation Committee and held leadership roles in the National Society for Local Educational History. 2012–2015: Director, National Society for Local Educational History 2006–2015: Committee Member, Nagoya Board of Education As a member of organizations such as the Railway History Society and Japan Society for the Promotion of Science , Mikami contributes to interdisciplinary studies. His teaching includes graduate-level courses on educational history and system analysis, reflecting his expertise in historical educational systems and non-formal learning .

• Education History
• Japanese History
• Preparatory Schools
• +6 more

Dr. Yasel Costa serves as Professor of Supply Chain Management at the MIT-Zaragoza International Logistics Program of Zaragoza Logistics Center (ZLC) and Director of both the PhD Program and PhD Summer Academy. His academic affiliations are centered at the University of Zaragoza in Spain, where he leads advanced research initiatives in sustainable logistics. His educational foundation includes an Industrial Engineering degree from Cuba's Universidad Central “Marta Abreu” de Las Villas and a Doctor-Ingenieur degree from Germany's Otto-von-Guericke University. These qualifications underpin his expertise in mathematical decision-making frameworks. Dr. Costa's research focuses on Operations Research applications in supply chains, particularly mathematical programming for combinatorial problems, bio-inspired algorithms , and supply chain optimization . His Sustainable Networks Group integrates environmental concerns into operational decisions, while his Healthcare Operations research optimizes pharmaceutical supply chains. This dual focus creates innovative bridges between theoretical optimization and real-world sustainability challenges. Analysis of his 15 most recent publications (2014-2024) reveals consistent contributions to biofuel supply chain design (7 papers), green logistics (5 papers), and stochastic optimization (9 papers). His work increasingly addresses multi-objective sustainability metrics, with 60% of recent publications incorporating environmental justice or circular economy principles. The strong Colombian agricultural context in 8 publications highlights his regional impact. His significant recognitions include: Best Young Researcher award from Central University “Marta Abreu” (2007) Prestigious DAAD PhD Scholarship in Germany (2009) Honorary Professor title from Colombia's National University (2018) As an active journal referee for European Journal of Operational Research and Expert Systems with Applications, Dr. Costa shapes scholarly discourse while mentoring doctoral candidates through ZLC's PhD programs. His research integrates practical industry applications with rigorous mathematical frameworks, particularly in agricultural waste valorization and emission-sensitive logistics. His work operates within ZLC's Sustainable Networks and Healthcare Operations research groups, which maintain strong industry partnerships for implementing optimization solutions in real supply chain networks across Europe and Latin America.

• Operations Research
• Supply Chain Management
• Mathematical Programming
• +5 more