جست‌وجوی استاد و پژوهشگر

Frank Meiselمشاهده پروفایل

استاد

• Supply Chain Management
• Logistics
• Operations Research
• +۴ مورد دیگر

Prof. Dr. Frank Meisel holds the Chair for Supply Chain Management at the Christian-Albrechts-University of Kiel, within the Faculty of Law, Economics and Business. His research focuses on mathematical modeling and quantitative solution methods for the design and operation of production, distribution, and service networks. 1998-2003: Studied Traffic Engineering at the Technical University of Dresden 2008: Received Dr. rer. pol. with thesis "Seaside Operations Planning in Container Terminals" 2014: Completed Habilitation in Business Economics with thesis "Papers on the Design and Operations of Production-, Distribution- and Service-Networks" Since 2013: Professor of Supply Chain Management at Kiel University Prof. Meisel's research spans multiple areas of logistics and operations research. His primary interests include maritime logistics, particularly container terminal operations; vehicle routing problems with synchronization requirements; and integrated planning of production-distribution networks. He develops mathematical models and optimization algorithms to address complex logistical challenges in various industry contexts, from seaport operations to healthcare logistics and urban waste management. His work bridges theoretical operations research with practical logistics applications across diverse sectors. His publication record demonstrates a progression from specialized maritime logistics problems to broader supply chain applications. Recent work shows increasing focus on sustainability considerations and the integration of multiple operational decisions across different parts of supply networks. His research has significant practical implications for container terminal operations, intermodal transportation, and service logistics. Prof. Meisel actively contributes to the academic community through conference presentations at major events including EURO, IFORS, and specialized workshops on maritime logistics. His work appears in top-tier journals such as Transportation Science, European Journal of Operational Research, and Computers & Operations Research. He teaches courses including Supply Chain Management, Production and Logistics, and Operations Management at both undergraduate and graduate levels. His educational contributions include developing curriculum for English-language business programs and supervising student research projects in logistics optimization.

Christian Bierwirthمشاهده پروفایل

استاد

• Production Management
• Logistics
• Vehicle Routing
• +۳ مورد دیگر

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.

Stefan Voßمشاهده پروفایل

استاد

• Logistics Optimization
• Metaheuristics
• Sustainable Port Operations
• +۳ مورد دیگر

Prof. Dr. Stefan Voß is a Professor at the Institute of Information Systems within the Hamburg Business School (HBS) at the University of Hamburg. He serves on the HBS Dean's Office and focuses on logistics optimization, metaheuristics, and sustainable port operations. His work integrates AI, machine learning, and operations research to address challenges in transportation, supply chain management, and public infrastructure. Research Interests: Dr. Voß specializes in: Metaheuristic algorithms (e.g., fixed set search, GRASP, VNS) Optimization of port and maritime logistics (berth allocation, quay crane scheduling) AI applications in transportation (predictive analytics, emotion recognition) Sustainable operations (green port infrastructure, EV charging networks) Public transport efficiency (bus scheduling, delay prediction) Publications: Recent work emphasizes AI-driven logistics, robust optimization under uncertainty, and digital twin applications in ports. His 2025 studies explore domain-generalized emotion recognition and dynamic seaport automation. 2024 articles highlight multi-objective scheduling, EV fleet optimization, and sustainable container storage. Labs/Teams: Leads research at the Institute of Information Systems, collaborating on port sustainability projects (e.g., Port of Hamburg) and digital innovation in logistics systems.

Michalis Michaelidesمشاهده پروفایل

استادیار

• Communication Systems
• Wireless Sensor Networks
• Environmental Monitoring
• +۶ مورد دیگر

Michalis Michaelides is an Assistant Professor at the Department of Electrical Engineering, Computer Engineering and Informatics at the Cyprus University of Technology , where he has held a tenure-track position since 2012. He holds a PhD in Electrical Engineering from the University of Cyprus (2009), and earlier degrees from Purdue University (MSEE, 1998; BSEE, 1997). His research focuses on communication systems, wireless sensor networks, environmental monitoring, and computational intelligence applications in maritime logistics and smart infrastructure. He received the Elsevier Building and Environment Journal Best Paper Award in 2014. His work spans smart port operations , IoT integration , and data-driven environmental modeling . Recent publications address berth allocation optimization, vessel arrival prediction, CO2-based virus transmission risk analysis, and AI-driven maritime terminal management. His interdisciplinary approach combines signal processing, optimization algorithms, and sensor networks to solve challenges in transportation, environmental sustainability, and public health. Education: PhD in Electrical Engineering, University of Cyprus (2009) MSEE, Purdue University (1998) BSEE, Purdue University (1997) Awards: Elsevier Building and Environment Journal Best Paper Award (2014) His research group collaborates on projects like intelligent irrigation systems and coastal eutrophication analysis , leveraging computational intelligence for real-world applications. Ongoing work emphasizes port efficiency, sensor network reliability, and decision support systems for maritime logistics.

Seyed Mojib Zahraeeمشاهده پروفایل

مدرس

• Biomass Renewable Energy
• Supply Chain Management
• Sustainability Assessment
• +۷ مورد دیگر

Seyed Mojib Zahraee is a Lecturer at RMIT University's School of Engineering , specializing in Mechanical, Manufacturing, and Mechatronic Engineering . With a PhD in 2022, he focuses on biomass supply chains, renewable energy systems, and logistics optimization. Expertise in supply chain resilience , lean manufacturing , and environmental emissions analysis Recognized as top 2% scientist globally (Stanford/Elsevier, 2020-2024) and Australia Global Talent Visa recipient Research Trends: Zahraee's work spans biomass logistics , hydrogen economy planning , and sustainable transportation systems , with recent publications emphasizing maritime supply chain emissions , closed-loop resource recovery , and lean manufacturing frameworks . His 350+ peer reviews in energy journals highlight his sector influence. Scientific Awards: Australian National Innovation Visa (2022) RMIT Research Stipend Scholarship (2018) Best Publication Award (2017) Graduate Assistantship Scheme (2016) World top 0.5% scholar (2024) Teaching includes Integrated Logistics Support Management and Environmental Systems Engineering , with sessional roles in Systems Engineering Principles and Professional Engineering Practice . Collaborations span Melbourne's street space allocation studies , UNESCO women in STEM research , and Palm Oil biomass projects in Malaysia.

Bernardo Martin Iradiمشاهده پروفایل

مدرس

• Public transportation
• On-demand mobility
• Maritime logistics
• +۳ مورد دیگر

Bernardo Martin Iradi is a Lecturer at the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich. He holds a PhD in Operations Research from DTU Management (Technical University of Denmark) and has served as a Postdoctoral researcher and teaching assistant at ETH Zurich since 2023. His professional experience includes roles as a Doctoral researcher at DTU, a routing consultant at AMCS Group, and teaching responsibilities in courses like Logistics and Freight Transportation and Transport Systems. His research focuses on public transportation optimization , on-demand mobility systems , maritime logistics , and network optimization . Notable projects include developing algorithms for railway timetabling stability, cooperative game analysis in multi-port operations, and dynamic capacity planning for multimodal transit systems. Recent work emphasizes microscopic modeling of railway networks, logic-based decomposition approaches for timetabling, and stochastic optimization for demand-responsive transit. He has presented at leading conferences such as RailDresden 2025 and TRISTAN XII, showcasing advancements in transportation systems optimization. Education: PhD in Operations Research (2019–2023), DTU Management MSc in Industrial Engineering and Management (2016–2018), Technical University of Denmark BSc in Industrial Technology Engineering (2011–2015), Polytechnical University of Catalonia Professional contributions include collaborations with industry partners like AMCS Group and involvement in projects like the DADA initiative addressing railway delay propagation. His work bridges theoretical optimization methods with practical transportation challenges.

• Transport Engineering
• Logistics
• Port Operations
• +۴ مورد دیگر

M.B. Duinkerken serves as a Professor in the Department of Transport Engineering and Logistics within the Faculty of Civil Engineering and Geosciences at Delft University of Technology. With an active research profile evidenced by 61 research outputs including articles, reports, and conference contributions, Duinkerken maintains significant external collaborations across international port and transport networks. Research interests focus on Transport Engineering and Logistics with specialized expertise in port operations, freight systems, and sustainable infrastructure. Key areas include: Port safety and risk management for emerging technologies like ammonia bunkering Renewable energy infrastructure logistics, particularly offshore wind farm installation Intelligent transportation systems for freight and high-speed rail networks Digital transformation in container terminal operations and supply chain transparency Recent publications reveal a strong trend toward sustainability-focused transport solutions, with 60% of 2022-2025 outputs addressing decarbonization challenges in ports, freight, and rail systems. The research consistently bridges engineering design with operational implementation, often utilizing living lab methodologies and data-to-value frameworks. Duinkerken's collaborative network spans European rail authorities, port operators, and maritime technology developers, with editorial experience including DUP Satellite (2004). The research portfolio demonstrates consistent funding support through involvement in major infrastructure projects and dataset development, particularly for European high-speed rail optimization and port safety frameworks.

Abdellah Salhiمشاهده پروفایل

استاد

• Optimization
• Metaheuristics
• Operations Research
• +۳ مورد دیگر

Abdellah Salhi is a Professor at the School of Mathematics, Statistics and Actuarial Science (SMSAS) at the University of Essex. His academic qualifications include a PhD from Aston University and a BSc from the University of Constantine. He specializes in optimization, metaheuristics, and operations research, with applications in logistics, port operations, and mathematical modeling. His research addresses complex problems such as container port scheduling, vehicle routing, and numerical solutions for biological systems. Salhi's work spans optimization algorithms like the Plant Propagation Algorithm, Genetic Algorithms, and hybrid methods for solving real-world challenges. His articles focus on multi-objective optimization, logistics efficiency, and algorithmic advancements. He has supervised numerous PhD students, contributing to academic and industrial research. While grants and funding sections are listed, specific details are not provided in the text. No dedicated labs or teams are mentioned, though collaborations are implied through his extensive publication record.

Yannis Marinakisمشاهده پروفایل

استاد

• Stochastic Optimization
• Combinatorial Optimization
• Nature Inspired Algorithms
• +۷ مورد دیگر

Dr. Yannis Marinakis is a Professor at the School of Production Engineering and Management , Technical University of Crete, specializing in Stochastic Optimization, Combinatorial Optimization, and Nature Inspired Algorithms. He holds a Diploma, M.Sc., and Ph.D. from the same university, with over 4,687 citations and recognition in top 2% global scientists. He teaches courses on Combinatorial Optimization, Game Theory, and Supply Chain Management, and supervises numerous graduate and doctoral students. His research focuses on metaheuristic algorithms for logistics optimization, vehicle routing problems, and game theory applications. Education: Technical University of Crete (Diploma 1999, M.Sc. 2001, Ph.D. 2005) Affiliations: Hellenic Open University (Quantitative Methods and Business Administration), University of the Aegean (Financial Management Engineering) Research Interests: He designs and applies nature-inspired algorithms (e.g., Ant Colony, Particle Swarm) to solve complex optimization problems in logistics, supply chain, and transportation. Key areas include vehicle routing problems (VRP), stochastic optimization, and game theory. Recent Work: His articles address blockchain applications in maritime logistics, electric vehicle routing with drones, and swarm intelligence for VRP solutions. His 2025 work on blockchain-aided berth allocation demonstrates interdisciplinary innovation. Awards: Top 100,000 Scientists (Stanford, 2019–2021), Top 2% Global Researchers Grants: Led projects on maritime logistics algorithms, berth allocation optimization, and energy-efficient routing systems. Collaborations: Active in EU-funded initiatives (e.g., ARTISAN for energy-aware systems) and cross-disciplinary teams in computational logistics.

• Algorithm Engineering
• Efficient Algorithms and Data Structures
• Intelligent Computing & Engineering
• +۱۱ مورد دیگر

Christos Zaroliagis is a Full Professor in the Department of Computer Engineering & Informatics at the University of Patras, Greece, where he serves as Head of the Intelligent Computing & Engineering Lab (ICE Lab). He is also a Senior Research Associate at the Computer Technology Institute & Press "Diophantus" in Patras. Previously, he held positions at the Max-Planck-Institut für Informatik in Saarbrücken, Germany, and the Department of Informatics at King's College, University of London, UK. He was also a visiting Professor and KIT Distinguished Research Fellow at the Karlsruhe Institute of Technology in Germany. Professor Zaroliagis specializes in algorithm engineering, optimization, decentralized computing, and cryptography & information security, with applications in large-scale networks and systems. His research has significant focus on mobility in smart cities, intelligent transportation systems, and big data analysis. He has published extensively in major international journals and conferences, and has served as editor for several academic journals including Algorithms, Journal of Discrete Algorithms, and ACM Journal of Experimental Algorithmics. His work spans both theoretical foundations and practical implementations, with numerous software libraries and systems developed under his leadership. His recent publications demonstrate continued innovation across cloud computing, intelligent transportation systems, decentralized computing, and big data analytics, showing a clear progression from foundational algorithm design to practical applications in smart city infrastructure. The research shows strong interdisciplinary connections between computer science, operations research, and urban planning. prize award 2012 for Academic and Scientific Excellence awarded by the Greek Ministry of Education KIT Distinguished Research Fellow Mercator Fellow Professor Zaroliagis leads the Intelligent Computing & Engineering Lab (ICE Lab), which has produced several significant software systems including PGL (graph algorithms library), ECC-LIB (cryptography library), Searchius (collaborative search engine), and iClone (social navigation system). His academic service includes heading the EURAXESS Services Center of the University of Patras and serving as National Contact Point for the FP7 PEOPLE Program - Mobility. He has been extensively involved in organizing international conferences and serving on program committees across computer science.

Stefan Røpkeمشاهده پروفایل

استاد

• Operations Research
• Management Science
• Logistics Optimization
• +۵ مورد دیگر

Stefan Røpke is a Professor in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on Operations Research and Management Science, with a particular emphasis on logistics optimization, vehicle routing, and sustainable transportation systems. He has contributed to advancements in adaptive algorithms for scheduling, berth allocation, and stochastic optimization. Røpke is actively involved in PhD supervision, mentoring students in projects such as university timetabling, hybrid power plant design, and sustainable delivery systems. He received the Hedorfs Fond's Prize for Transportation Research in 2019, recognizing his impactful work in transportation science. His research often addresses UN Sustainable Development Goals, particularly those related to climate action and sustainable cities. Røpke collaborates internationally, contributing to projects like optimizing liner shipping networks with alternative fuels and improving port operations through heuristic methodologies. As a supervisor, he oversees multiple PhD projects, including studies on stochastic optimization acceleration, hybrid energy systems, and crowdsourced delivery networks. His work bridges theoretical advancements with practical applications, driving innovations in logistics and operational efficiency.

Maxim Dulebenetsمشاهده پروفایل

دانشیار

• Operations Research
• Optimization
• Simulation Modeling
• +۸ مورد دیگر

Maxim Dulebenets is an Associate Professor and Graduate Program Director in the Department of Civil & Environmental Engineering at the FAMU-FSU College of Engineering . His research focuses on operations research, optimization, transportation engineering, and sustainability. Dr. Dulebenets holds degrees from the University of Memphis and Moscow State University of Railroad Engineering. Education: Ph.D. Civil Engineering, University of Memphis, 2015 M.Sc. Civil Engineering, University of Memphis, 2012 M.Sc./B.Sc. Railroad Construction, Moscow State University of Railroad Engineering, 2011 Research Interests: Metaheuristics and Hybrid Algorithms Freight and Intermodal Transportation Environmental Sustainability in Logistics Disaster Risk Reduction AI/ML in Transportation He has led ~$2.9M in research projects as PI, funded by agencies like NSF, USDOT, and FDOT. Dr. Dulebenets is a Senior Member of IEEE and serves on 10+ Transportation Research Board committees. His work emphasizes optimizing complex systems across rail, maritime, and urban transport. Grants & Projects: $19.5M total research funding (2015–2025) Focus areas: green shipping, disaster resilience, and smart infrastructure Dr. Dulebenets is licensed as a Professional Engineer in Michigan and actively reviews for 250+ journals. Current projects include AI-based infrastructure analysis, sustainable port operations, and level crossing safety optimization.

• Operations Research
• Logistics and Supply Chain Management
• Maritime Transportation
• +۷ مورد دیگر

Jingjing Yu is a Tenure-Track Assistant Professor in the Department of Economics and Business at Universitat Pompeu Fabra (UPF), Barcelona, Spain, where she began her position in September 2024. Her academic work integrates operations research, logistics, and sustainability within maritime transportation systems. Education: PhD in Information Systems, Universität Hamburg, Germany (2018–2024) PhD Candidate, Faculty of Infrastructure Engineering, Dalian University of Technology, China (2015–2018) Her research focuses on port operations optimization, green technologies in shipping, shore side electricity, vessel emissions modeling, and simulation-based decision support systems. She applies advanced modeling techniques to improve sustainability and efficiency in maritime logistics, with applications in smart city transport systems. Her recent publications span high-impact journals such as Transportation Research Part E , Journal of Cleaner Production , and Automation in Construction . The works collectively emphasize integrated optimization of berth allocation, quay crane assignment, vessel speed, and energy use, with a strong trend toward environmental sustainability and data-driven modeling in port operations. Scientific Contributions and Grants: Contract: Cloud application for the optimal distribution of onshore power in ports (2023–2023), organized by Hamburg Innovation GmbH and funded by the Ministry of Science, Research, Equalities and Districts of the Free and Hanseatic City of Hamburg. Contract: Smart city: Shifting modalities into advanced regional transport modalities (2021–2024), funded by the same ministry. Jingjing Yu has served as a peer reviewer for journals including Energy Conversion and Management , Public Transport , and Transportation Research . She collaborates extensively with researchers such as Stefan Voß, Guolei Tang, and Philip Cammin. While no formal advising of students is mentioned, her active research and grant involvement suggest leadership in ongoing projects. She maintains an ORCID profile and is affiliated with UPF’s Department of Economics and Business, reflecting the interdisciplinary nature of her work.

Tamer Elboghdadlyمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Cybersecurity
• Generative AI
• +۳ مورد دیگر

Dr. Tamer Elboghdadly is a Senior Lecturer at the School of Computing, University of Portsmouth. His research focuses on Machine Learning, Cybersecurity, Generative AI, Information Retrieval, Evolutionary Algorithms, and Logistics Optimization. He actively supervises PhD students and contributes to cutting-edge interdisciplinary work. Elboghdadly's recent work explores the paradigm shift from traditional search engines to generative AI in information retrieval and evaluates machine learning techniques for industrial control systems (ICS) security. His earlier research addressed complex logistics challenges in port operations using evolutionary algorithms and heuristic optimization methods. These studies highlight his expertise in both theoretical and applied computing domains. His publications span conferences such as IEEE World Congress on Evolutionary Computation and Mobile, Intelligent, and Ubiquitous Computing. No scientific awards are listed, but his work has garnered significant reader engagement and citations across platforms like PlumX. Elboghdadly collaborates on projects involving data-driven security solutions and optimization frameworks. While no specific labs or teams are mentioned, his affiliations with the School of Computing position him within a vibrant academic ecosystem focusing on computing innovation and real-world applications.

• Optimization Algorithms
• Operational Research
• Logistics and Supply Chain Management
• +۳ مورد دیگر

Magda Marinaki is a Researcher at the Technical University of Crete, affiliated with the School of Production Engineering and Management. She is part of the Computational Engineering and Optimization Laboratory, focusing on optimization algorithms and their applications in logistics, transportation systems, and sustainability. Her work spans blockchain technology in maritime logistics, vehicle routing problems (VRP), swarm intelligence algorithms, and energy-efficient transportation solutions. Her research interests include optimization methodologies like genetic algorithms, particle swarm optimization, and grey wolf optimizers. Recent studies address challenges such as electric vehicle charging infrastructure, drone integration in logistics, and flow shop scheduling. She has contributed to both theoretical advancements in metaheuristics and practical applications in supply chain management and environmental engineering. Key Projects: Blockchain applications in port operations, energy-minimizing EV routing, and UAV path planning. Collaborations: Interdisciplinary work on sustainability and smart infrastructure. Marinaki’s publications highlight a focus on solving complex real-world problems through innovative algorithmic approaches, with a particular emphasis on environmental and efficiency metrics.