Container Terminal Operations Professors and Supervisors | ApplySharif

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Afshin MansouriView profile

Professor

Brunel University LondonUnited Kingdom

Afshin Mansouri is a Professor of Operations and Supply Chain Management at Brunel Business School , where he has held leadership roles such as Director of Research (2017-22) and Director of Postgraduate Studies (2016-17). He holds a PhD, MSc, and BSc in Industrial Engineering from Amirkabir University of Technology and has prior academic experience at the University of Tours, University of Tehran, and King’s College London. Research Interests: His work bridges sustainable operations , humanitarian logistics , and data-driven decision-making , with notable contributions to green scheduling in maritime and manufacturing sectors. The Green Yard Scheduler (TRL 7) developed under the PortForward project has been piloted at the Port of Vigo. Recent Publications highlight trends in energy-aware scheduling , supply chain resilience , and humanitarian disaster management , leveraging OR/MS methodologies and big data analytics . He has secured €2.4 million in grants from EU and UK funders, including EPSRC and European Commission projects like Z-Fact0r and MINI-CHIP . Scientific Awards : Fellow of the Higher Education Academy (FHEA) PhD Supervision includes topics on circular fashion , humanitarian supply chains , and healthcare sustainability , with graduates securing roles in academia and industry. He also contributes to research groups like the Operations and Information Systems Management Research Group (OISM) and Institute for Energy Futures (IEF) .

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Mohamed Ben AhmedView profile

Associate Professor

Molde University CollegeNorway

Mohamed Ben Ahmed serves as an Associate Professor in Quantitative Logistics at Molde University College's Logistics Department, specializing in optimization and decision support systems for complex logistics networks. His work integrates mathematical modeling with real-world transportation challenges across maritime, airline, and urban mobility sectors. Educational Background: PhD in Quantitative Logistics, Molde University College (2023) - Thesis: 'Analysis of Integrated Planning Models in Logistics' MSc in Industrial Engineering, National School of Engineering, Tunis (2013) BSc in Physics and Chemistry, Preparatory Institute of Engineering Studies, Monastir (2010) His research focuses on developing robust solutions for logistics under uncertainty, with particular expertise in hybrid algorithms combining exact and heuristic methods. Key areas include sustainable micromobility systems, green maritime transportation, automated container terminal operations, and integrated airline scheduling. Current work emphasizes automation in logistics processes and decision-making frameworks resilient to disruptions. Analysis of his 15 most recent publications (2017-2025) reveals a strong trend toward practical applications of optimization in emerging logistics domains, particularly micromobility simulation and green technology adoption. His work consistently bridges theoretical algorithm development with industry-relevant case studies, showing increasing emphasis on sustainability metrics and real-time decision support systems. No scientific awards are currently listed in available sources. His research is conducted within the Planning, Optimization and Decision Support group, focusing on mathematical modeling of logistics networks. While specific grant information isn't provided, his publications indicate collaboration with major industry partners in maritime and aviation sectors. Current projects include developing open-source simulation tools for micromobility planning and optimization frameworks for automated container terminals.

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Ramin RaeesiView profile

Lecturer

Lancaster UniversityUnited Kingdom

Dr Ramin Raeesi is a Lecturer in Management Science at Kent Business School, University of Kent, and an Interim Director of the Centre for Logistics and Heuristic Optimisation (CLHO). He also holds a visiting researcher position at the Centre for Transport and Logistics (CENTRAL) at Lancaster University Management School. Research Overview: Focuses on combinatorial optimisation, vehicle routing, and sustainable logistics with environmental considerations. Research Interests include: Exact and metaheuristic solution algorithms Multi-objective optimisation Electric and hydrogen-fuelled transport systems Shared logistics and container terminal optimisation Publications highlight work on electric vehicle routing with time windows and mobile battery swapping. His research integrates big data analytics into transport and logistics networks. Labs & Groups: Centre for Logistics and Heuristic Optimisation (CLHO) Centre for Transport and Logistics (CENTRAL)

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A.R. DestyantoView profile

Researcher

Delft University of TechnologyNetherlands

A.R. Destyanto is a researcher at Delft University of Technology within the Faculty of Technology, Policy and Management's Transport and Planning department. His work focuses on maritime transport systems and port resilience, particularly in Indonesian archipelago contexts, utilizing advanced modeling techniques for logistics optimization and policy analysis. His primary research interests include Systems Dynamics, Port Resilience, Maritime Transport, Decarbonization, Policy Analysis, Optimization, and Distribution Networks. Destyanto applies these to critical challenges such as archipelago port operations, container terminal decarbonization, and pandemic-related logistics disruptions, with strong emphasis on quantitative modeling approaches. Recent publications (2022-2025) reveal consistent focus on Indonesian maritime networks, integrating Systems Dynamics, DEMATEL, and ANP methodologies to address resilience, decarbonization, and pandemic impacts. His work demonstrates practical application in port policy development and crisis response planning, with growing citation impact including news coverage and Mendeley readership. No scientific awards are documented. Information regarding student supervision or research grants is unavailable in current records.

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Marco RadukicView profile

Researcher

Bielefeld UniversityGermany

Marco Radukic, PhD , is a researcher at Bielefeld University affiliated with the Faculty of Engineering 's Cellular and Molecular Biotechnology Group . His work focuses on adeno-associated virus (AAV) engineering, plasmid design, and synthetic biology applications for gene therapy. Research Interests Optimization of AAV production systems ITR (inverted terminal repeat) stability in bacterial hosts Cell-free viral assembly Lipid nanoparticle-mediated gene delivery High-throughput bioprocessing techniques Publication Trends Dr. Radukic's recent publications (2019-2025) focus on AAV vector engineering, bacterial expression systems for viral components, and nanopore sequencing applications for quality control. His work bridges molecular biology with biotechnology to improve recombinant AAV production methodologies. Labs and Collaborations He operates within Bielefeld University's Cellular and Molecular Biotechnology Group , which is part of Germany's broader biotechnology research ecosystem. His research involves collaborations with bioinformatics and biophysics groups as indicated by his methodological approaches.

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Dana QuesinberryView profile

Assistant Professor

University of KentuckyUnited States

Dana Quesinberry serves as Assistant Professor in the Department of Health Management and Policy at the University of Kentucky College of Public Health and holds the position of Associate Director at the Kentucky Injury Prevention and Research Center (KIPRC). Her institutional affiliation includes dual roles in academic instruction and statewide injury prevention leadership, with office location at 2365 Harrodsburg Road, Southcreek Building B, Suite B475 in Lexington. Dr. Quesinberry holds dual terminal degrees: a Juris Doctor (JD) and Doctor of Public Health (DrPH). Her interdisciplinary background bridges legal frameworks and population health science, enabling unique approaches to public health policy analysis. Her research centers on injury prevention with specialized focus on drug overdose epidemiology and the intersection between substance use disorders and non-traumatic brain injury. As Principal Investigator for the CDC-funded Kentucky Overdose Data to Action Program, she leads surveillance initiatives that directly contributed to Kentucky's first annual decline in drug overdose deaths since 2018. Her work emphasizes data-driven policy interventions for harm reduction and public health infrastructure strengthening. No scientific awards were documented in the provided materials. Dr. Quesinberry directs CDC grant resources through the Kentucky Overdose Data to Action Program, focusing on real-time surveillance system development and evidence-based prevention strategies. The provided texts contain no mention of formal student advising relationships or graduate mentorship activities. As Associate Director of KIPRC, she oversees Kentucky's primary injury surveillance hub which coordinates statewide data collection, research translation, and prevention program implementation. The center operates under CDC funding mechanisms to address critical public health threats including opioid overdoses, motor vehicle injuries, and traumatic brain injuries through multidisciplinary collaboration with state agencies and community partners.

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Wolfgang BrüggemannView profile

Professor

University of HamburgGermany

Prof. Dr. Wolfgang Brüggemann serves as a Professor in the Department of Operations Research at the University of Hamburg Business School. His office is located at Moorweidenstraße 18, Room 4005, Hamburg, with contact details including phone (+49 40 42838 6410) and fax (+49 40 42838 6440). He maintains active teaching responsibilities across semesters including Winter 2025/26 and Summer 2025. His research concentrates on industrial logistics optimization, specifically: Automotive assembly line sequencing systems Container storage block management (RMGC systems) Assignment problem algorithms for operational efficiency Prof. Brüggemann leads the Assignment Problem research team comprising Christine Quentin, Laura Flinkert, and Lorenz Saathoff, while also contributing to the OSCM Publication Series. His work bridges theoretical operations research with practical automotive and container terminal applications. Office hours during lecture-free periods require prior registration through the department secretariat.

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Laura FlinkertView profile

Researcher

University of HamburgGermany

Laura Flinkert is a researcher at the University of Hamburg Business School, where she is part of the Operations Research team led by Prof. Dr. Wolfgang Brüggemann. Her institutional affiliation includes Room 4001 at Moorweidenstraße 18, 20148 Hamburg, with contact details: phone +49 40 42838 6412, fax +49 40 42838 6440, and email laura.flinkert@uni-hamburg.de. Consultation hours are available by appointment. Her research concentrates on applied Operations Research with emphasis on logistical optimization in industrial contexts. Key focus areas include port terminal operations (evidenced by HafenplanZEN project involvement), container logistics (RMGC Container Lagerblock), sequencing algorithms for automotive assembly lines, and educational resource allocation through the Students Assignment Problem. She contributes to the OSCM publication series, demonstrating expertise in translating theoretical models to practical supply chain solutions. The research group actively engages in industry-relevant projects addressing real-world transportation and manufacturing challenges, with ongoing collaborations across automotive and maritime logistics sectors. Current work emphasizes buffer sequencing optimization and container terminal management systems.

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Abtin NourmohammadzadehView profile

Researcher

University of HamburgGermany

Dr. Abtin Nourmohammadzadeh is a scientific assistant (Researcher) at the Institute for Business Information Systems, University of Hamburg Business School, since July 2019. He previously served as a doctoral researcher at Clausthal University of Technology (2014-2019) and holds a PhD in Informatics. Current Role: Researcher at University of Hamburg Education: Master's and Bachelor's in Industrial Engineering Research Focus: Optimization techniques, transportation logistics, and machine learning His research integrates meta-heuristic optimization (e.g., genetic algorithms, particle swarm optimization) with transportation problems (truck platooning, container terminals) and machine learning (ANNs, SVMs) for industrial fault diagnosis. Publications demonstrate applications of mathematical programming , swarm intelligence , and hybrid algorithms to logistics and engineering challenges. Recent work emphasizes fuel-efficient vehicle coordination , noise-resilient diagnostic systems , and port operations optimization . No specific scientific awards are mentioned in the provided text.

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Jiyin LiuView profile

Professor

Loughborough UniversityUnited Kingdom

Professor Jiyin Liu is a Professor of Operations Management and Director of Undergraduate Studies at Loughborough Business School. He holds a BEng (1982) and MEng (1985) in Industrial Automation and Systems Engineering from Northeastern University, China, and a PhD (1993) in Manufacturing Engineering and Operations Management from the University of Nottingham. His career includes roles as an Assistant Professor at Hong Kong University of Science and Technology (HKUST), where he contributed to logistics management program development and received teaching awards. He joined Loughborough in 2003, became a Professor in 2005, and served as Head of the MIDO Group (2008–2013). His expertise focuses on operations planning, scheduling, and supply chain/logistics optimization, blending academic rigor with industry relevance. Education: BEng in Industrial Automation, Northeastern University of China (1982) MEng in Systems Engineering, Northeastern University of China (1985) PhD in Manufacturing Engineering and Operations Management, University of Nottingham (1993) Research Interests: Professor Liu’s work addresses complex optimization challenges in logistics, manufacturing, and service systems. His research bridges theoretical models and practical applications, with a focus on scheduling algorithms, risk-aware decision-making, and sustainable operations. Key areas include steel production optimization, vehicle routing, crane scheduling in ports, and dynamic pricing strategies. His methodologies often involve metaheuristics (e.g., genetic algorithms, differential evolution) and machine learning approaches. Recent Research Trends: His publications (2020–2023) emphasize logistics and manufacturing optimization, with notable contributions to steel industry operations, green vehicle routing, and risk-aware scheduling. He also explores decision support systems for bundling shipments and optimizing resource allocation in dynamic environments. Awards: Teaching Excellence Appreciation award (twice, Hong Kong University of Science and Technology) Collaborations & Impact: He collaborates with global firms such as Hongkong International Terminals, Baosteel, and Philips Electronics. His work on Baosteel’s operations optimization and container terminal logistics has demonstrated real-world impact. He also contributed to developing decision support systems for field service scheduling and emergency resource allocation post-disasters. Labs/Teams: Leads research initiatives in operations management, focusing on industrial applications through partnerships with industry stakeholders. His team specializes in mathematical modeling (MILP, heuristic algorithms) and data-driven solutions for complex operational problems.

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Meng QiangView profile

Professor

National University of SingaporeSingapore

Professor Meng Qiang serves as Professor in the Department of Civil and Environmental Engineering (CEE) at the National University of Singapore (NUS), where he directs both the Centre for Transport Research (CTR) and the NUS Guangzhou Research Translation and Innovation Institute (NUS-GRTII). His academic leadership extends to editorial roles including Co-Editor-in-Chief of Multimodal Transportation and Advisory Editor for Transportation Research Part E . His educational background spans Bachelor of Science from East China Normal University (1984), Master of Science from Chinese Academy of Sciences (1989), and PhD in Civil Engineering from Hong Kong University of Science and Technology (2000). Prior to joining NUS, he held academic positions at Shandong Normal University where he became Professor in the Information and Management School after completing his PhD. Professor Meng's research expertise focuses on three interconnected domains: urban mobility modelling and optimization (including AI-based traffic prediction, autonomous vehicle operations, and EV infrastructure planning); shipping and intermodal freight transportation (covering liner network optimization, container logistics, and maritime cybersecurity); and quantitative risk assessment of transport operations (particularly for urban tunnels and maritime safety). His work integrates advanced computational methods with real-world transportation challenges, as evidenced by over 260 high-impact publications. His scholarly impact is demonstrated through consistent recognition as a Top 2% Scientist in logistics and transportation (Stanford University, 2019-2022) and numerous prestigious awards including the Omega Best Paper Award (2023), TSL Freight Transportation Award (2020), and Singapore MOT Minister's Innovation Award (2009). His publications reveal evolving research trajectories toward autonomous vehicle integration, maritime decarbonization, and AI-driven transportation solutions. Best Paper Award of Omega 2023 Member, Academy of Engineering Singapore (2022) TSL Best Paper Award in Freight Transportation and Logistics (2020) OCDI Takeuchi Yoshio Logistics Award (2019) Chang Jiang Scholar Chair Professor (2017) WCTR Society Prize for Best Paper (2013) Singapore MOT Minister's Innovation Award (2009) Professor Meng has supervised 17 PhD students and mentored 20 postdoctoral fellows, with many graduates achieving prominent academic positions internationally including Distinguished Young Scholars in China. His industry contributions include the QRAFT risk assessment software for road tunnels and an AI-based traffic prediction model developed with ST Engineering. He leads the Centre for Transport Research which conducts government and industry-funded projects addressing Singapore's transportation challenges through advanced modeling and optimization techniques.

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Marta Borowska-StefańskaView profile

Assistant Professor

University of LodzPoland

Marta Borowska-Stefańska is an Assistant Professor at the Institute of the Built Environment and Spatial Policy, Faculty of Geographical Sciences, University of Lodz. She serves as Deputy Director of the Institute, overseeing organizational matters. Her academic roles include teaching and research. Education: PhD in Geography (2014) from University of Lodz, with a thesis on flood-prone area management. She has participated in extensive professional development, including ESRI GIS training, DAAD-funded stays in Germany, and ERASMUS+ collaborations in Romania and Slovakia. Research focuses on spatial planning, flood risk management, GIS applications, and urban mobility. Key projects include optimizing flood evacuation strategies, analyzing pandemic-induced transport changes, and assessing road network vulnerability under flooding. She leads grants like IDUB-funded studies on mobility patterns of the elderly and post-pandemic transport systems. Her work emphasizes interdisciplinary approaches, with international collaborations and publications spanning disaster management, transport systems, and spatial policy. Projects often involve applied tools like network analysis and simulation modeling. Grants and Projects: IDUB grants on flood risk management and elderly mobility; ERASMUS+ initiatives enhancing academic exchange. Active in conferences and editorial roles, including co-editing the 'Biuletyn Uniejowski.'

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Rommert DekkerView profile

Professor

Erasmus University RotterdamNetherlands

Rommert Dekker is a Professor of Econometrics (Operations Research and Informatics) at the Department of Econometrics, Erasmus School of Economics (ESE), Erasmus University Rotterdam, affiliated with ERIM since 1999. His research focuses on operations research, quantitative logistics, and IT applications in logistics systems. He leads industry-sponsored research on service logistics and co-founded the REVLOG network for reverse logistics. His work spans reverse logistics, inventory control, maintenance optimization, container logistics, and transport systems. He has held roles at Shell Research (1992-1999), publishing over 100 papers during that period. Research interests include service logistics, synchromodal transportation, spare parts management, and sustainable supply chains. He integrates quantitative methods with real-world applications, addressing challenges like container terminal optimization, wildfire risk modeling, and vaccine supply chain management. His recent work explores quantum computing applications in logistics and environmental regulations' impact on maritime networks. Awards: ERIM Impact Award (2025), OR Society Goodeeve Medal (2023) Research Initiatives: Business Intelligence, Data Analytics, Smart Port@Erasmus Grants & Partnerships: Industry-sponsored programs on service logistics, collaborations with maritime and energy sectors His publications emphasize practical impact, with over 170 articles in areas like supply chain resilience, maintenance policies, and green logistics. Current research includes real-time container yard allocation algorithms and AI-driven wildfire risk models.

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Anastasios ChassiakosView profile

Professor

California State University, Long BeachUnited States

Dr. Anastasios Chassiakos is a Professor in the Department of Electrical Engineering at the California State University, Long Beach (CSULB), affiliated with the College of Engineering. His research spans robotics, neural networks, structural control, transportation logistics, and port operations. He has contributed to projects such as the METRANS initiative and the STEER Program, focusing on infrastructure resilience, container management, and structural health monitoring. Notably, he received the CSULB Outstanding Professor Award in 1994. His work integrates advanced modeling techniques, including neural networks for structural diagnostics and heuristic algorithms for optimization challenges. Key areas of focus include mitigating port disruptions, improving truck traffic efficiency, and enhancing container reuse strategies in the Los Angeles/Long Beach port area. Dr. Chassiakos also explores applications in robotics and space reflectors, showcasing interdisciplinary innovation. Publications highlight his expertise in structural dynamics, transportation systems, and logistics, with a strong emphasis on real-world applications. His research often bridges theoretical frameworks with practical solutions for urban and port infrastructure challenges. Awards: CSULB Outstanding Professor Award (1994) Key Projects: METRANS PROJECT 07-14, STEER Program, Port Dynamic Empty Container Reuse Labs/Teams: Engaged with university and industry collaborations on transportation and structural engineering initiatives.

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Stefan GuerickeView profile

Professor

Osnabrück University of Applied SciencesGermany

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.

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