Dr. Jiabin Luo is a Senior Lecturer in Business Analytics at Aston University's Aston Business School, within the College of Business and Social Sciences. She holds a PhD in Management Science from the University of Southampton and has held academic and research roles at institutions including Coventry University and De Montfort University. Her research focuses on optimization and decision-making in logistics, supply chain management, maritime shipping, and production planning. She is Programme Co-Director of the MSc Degree Apprenticeship in Digital & Technology Solutions Specialist. Education: PhD in Management Science, University of Southampton, UK MSc in Risk and Stochastics, London School of Economics and Political Science, UK MSc in Statistics, University of Nottingham, UK BSc in Mathematics, Zhongshan University, China PGCert in Learning and Teaching in Higher Education Research Interests: Transportation and logistics optimization Maritime shipping and port operations Production planning and inventory management Supply chain management and sustainability Fuzzy optimization and scenario-based modeling Recent Research Trends: Her work emphasizes optimization techniques in logistics systems, including automated container terminals, intermodal transport, and risk management. Recent articles explore machine learning for credit risk prediction and geospatial analysis of traffic datasets. Awards and Memberships: Fellow of The Higher Education Academy Member of The Operational Research Society Member of British Academy of Management Grants and Collaborations: Newton Researcher Links: Strategy & Policy Innovation in Supply Chain Management (2018) Newton Researcher Links: Emission Control in Green Port Development (2017) EPSRC Grant: Resilience of Manufacturing Supply Networks (2013–2016)
Cody Michael Allen is an Assistant Professor in the Department of Agricultural and Biological Engineering at the University of Illinois at Urbana-Champaign. He holds additional affiliations with the Center for Digital Agriculture and the National Center for Supercomputing Applications (NCSA). His research focuses on advancing agricultural and mechanical engineering through interdisciplinary approaches, including diesel engine performance optimization, agricultural automation, and data-driven solutions for precision agriculture. Allen’s work bridges theoretical models with practical applications, such as improving fuel efficiency in engines and enhancing grain harvesting systems. Key research areas include cylinder deactivation strategies for diesel engines, thermal management of aftertreatment systems, and the development of automated grain-unloading technologies. His experimental studies emphasize real-world validation, such as field trials for surface drainage systems and on-farm case studies to assess yield impacts. Allen’s publications demonstrate a trend toward integrating computational modeling with mechanical systems to solve complex challenges in both engine dynamics and agricultural productivity. While no scientific awards are explicitly mentioned, his research has garnered significant citations, particularly in studies on cylinder deactivation and agricultural automation. His involvement with NCSA suggests a computational focus, though specific grants or lab collaborations are not detailed in the text. Advising and student supervision details are not provided, but his work likely involves collaborations with graduate students in mechanical and agricultural engineering disciplines.
Dariusz Masłowski serves as a Lecturer at the Department of Logistics, Opole University of Technology, based in room ME-309c. His contact details include phone number 72 697 6199 and email d.maslowski@po.edu.pl, with a professional website at http://maslowski.opole.pl. His academic profile centers on practical logistics applications within urban environments and transport systems. His research spans urban logistics, Smart Cities, telematics, transport optimization, and management. With over 60 publications in national and international journals plus two books on urban logistics, his work emphasizes real-world implementation of logistics solutions. Key interests include forensic logistics applications, telematics integration, and sustainable urban mobility frameworks. Analysis of his 2021-2025 publications reveals strong focus on urban freight systems, safety in logistics operations, and Industry 4.0 applications. Recurring themes include risk management in oversized transport, bioterrorism prevention through forensic logistics, and telematics solutions for traffic optimization. His work consistently bridges theoretical models with practical urban challenges. Dr. Masłowski actively supervises the student scientific circle SKN LogPoint, providing mentorship for logistics-focused student research initiatives and fostering academic development in the field.
Gunnar Stefansson is an Associate Professor at Chalmers University of Technology, affiliated with the Faculty of Engineering and Department of Service Management and Logistics. His work focuses on adaptive port planning, freight transportation innovation, and system dynamics modeling. Research Themes: Logistics management, blockchain adoption in export logistics, sustainable supply chains, intermodal transportation, and stakeholder prioritization in port planning. Methodologies: Bayesian estimation, fuzzy logic, group model building, and lean principles applied to freight operations. Geographic Scope: Primarily Iceland and Sweden, with case studies on the Port of Isafjordur and West Sweden export companies. His publications (2015-2024) span adaptive port planning, interoperability challenges, and smart transportation systems. Key subfields include automated loading/unloading, RFID applications, temperature alert criteria, and freight intelligent transportation systems. Notable contributions include: Frameworks for port throughput forecasting and stakeholder classification Models for adaptive planning in multi-purpose ports Studies on blockchain technology adoption and autonomous vehicle integration
Robin Hanson is an Associate Professor at the Division of Supply and Operations Management at Chalmers University of Technology, Sweden. His research focuses on automation in logistics and production systems, including autonomous transport, robotic applications, and materials supply strategies. Current Projects: SCALE (Supply Chain Automation), ASIST (Automated Seamless Interfaces), and ELISTAFT (Logistics Interfaces for Autonomous Transport). Research Themes: He explores the interoperability of autonomous trucks, human-robot interaction in AGV systems, efficiency in mixed-model assembly, and digital manufacturing trends. Publications: Recent work addresses automated loading/unloading systems, kitting strategies, and machine learning applications in robotic bin picking. Funding: Projects supported by VINNOVA, Swedish Energy Agency, and Chalmers Area of Advance Transport. Collaborations: Works with Mats Johansson, Lars Medbo, Patrik Fager, and Dan Andersson across interdisciplinary teams.
Dr. Dan Andersson is an Associate Professor at Chalmers University of Technology , affiliated with the Supply and Operations Management department. His research spans logistics, transport, outsourcing, and global supply chains , with a focus on third-party logistics, purchasing of services, and autonomous freight systems . Current Projects : E-Laas (Energy optimal urban Logistics As A Service, 2023–2026), SCALE (2021–2024), AEOLIX (2016–2019) Past Projects : ELISTAFT (2020–2021), LogiNord (2010–2015), Urban Freight Plattform (2014–2016) His work intersects automation, sustainability, and risk management , particularly in autonomous truck loading/unloading and green logistics . Collaborations include the Swedish Energy Agency , VINNOVA , and European Commission .
Professor Ting Ren is a Professor at the University of Wollongong's School of Civil, Mining and Environmental Engineering. He specializes in mining safety, coal mine gas management, and dust control. His research focuses on underground mining methods, computational modeling, and geomechanics. Ren has overseen over 35 higher-degree research students, contributing to advancements in mine safety technologies. He leads industry-funded projects totaling over A$4 million, addressing challenges in dust mitigation, gas drainage, and explosion-resistant materials. Ren has been recognized with awards such as the 2009 BMA Health & Safety Award and the 2012 Australian Bulk Handling Review Award. His work bridges academic research and industrial applications, with collaborations spanning global mining companies. Education PhD in Mining Engineering from the University of Nottingham, UK Research Interests Professor Ren's expertise spans coal mine safety, gas management, mine fire prevention, and computational fluid dynamics (CFD) applications. His work emphasizes practical solutions for dust control, gas drainage optimization, and rock burst prevention. Recent projects include VR-based training tools for dust mitigation and advanced models for predicting infrastructure damage from explosions. Awards & Grants CSIRO Partnership Excellence Award (2006) ARC Training Centre for Innovative Composites in Mining (A$5M, 2023-2028) UOW-ANSTO Joint Project for Dust Control (2025-2026) Advising & Grants Ren supervises over 35 PhD/Master’s students, focusing on topics like silica dust monitoring and composite materials for explosion resistance. His grants include industry partnerships with BHP, Anglo American, and ACARP. Labs & Teams He leads the Green Mining and Safety Research Group , collaborating with academia and industry to develop sustainable mining solutions. His work integrates advanced modeling tools and experimental validation for real-world mining hazards.
Dr. Haoning Xi is a Lecturer in Business Analytics at the Newcastle Business School, University of Newcastle (UON), Australia. She previously served as a Research Fellow at the Institute of Transport and Logistics Studies (ITLS), The University of Sydney Business School. Dr. Xi received her Ph.D. in Transportation & Operations Research from the University of New South Wales (UNSW) Sydney, where she was also a co-cultured Ph.D. student at CSIRO Data 61. She holds a Master's degree from Tsinghua University and a Bachelor's from Central South University, China, and has research experience at the University of California, Berkeley and Hong Kong University of Science and Technology. Ph.D. in Transportation & Operations Research, University of New South Wales Master of Engineering, Tsinghua University, China Bachelor of Engineering, Central South University, China Research Assistant, University of California, Berkeley Visiting Researcher, Hong Kong University of Science and Technology Dr. Xi's research focuses on applying business analytics, machine learning, and operations research to mobility services and transportation systems. Her work centers on Mobility-as-a-Service (MaaS), travel behavior analysis, data-driven optimization, and sustainable transportation. She investigates how to leverage millions of smart card data from various transport modes to uncover user travel patterns and preferences, enabling intelligent decision-making for transport authorities. Her research also explores predictive analysis using AI and ML algorithms to forecast travel patterns, service disruptions, and resource allocation strategies. A significant portion of her work examines personalized mobility services and how to integrate transportation with non-mobility offerings to create comprehensive subscription models. Dr. Xi has published over 23 SCI/SSCI indexed papers, including 9 ABDC A* journal articles (8 as first/corresponding author) in top journals like European Journal of Operational Research and Transportation Research series. Her publications reveal a strong emphasis on mathematical modeling of transportation systems, with increasing focus on AI/ML applications in recent years. The articles demonstrate progression from traditional transportation modeling toward more sophisticated data-driven approaches integrating machine learning with operational research techniques, particularly in the context of Mobility-as-a-Service ecosystems and pandemic-related travel behavior changes. Rising Stars Women in Engineering, Asian Deans' Forum (2024) Best Research Silver Award, International Symposium on Sustainable Development of Urban Transport Systems (2024) Best Paper Award, International Workshop on Computational Transportation Science (2024) Global Talent Independent Scheme, Australian Government (2021) University Postgraduate Award, UNSW (2021) CSIRO Data 61 Top-up Ph.D. Scholarship (2020) Dr. Xi currently supervises 5 PhD students across various topics including digital transformation's impact on ESG, digital sustainability measurement, data analytics for hospitality management, social media sentiment analysis, and organizational capabilities in regulated environments. She has secured over $463,500 in research funding from multiple sources including National Natural Science Foundation of China ($80,000), iMOVE Australia Limited ($300,000), and various internal university grants. Her current projects focus on AI-driven bus network optimization, parking management models, and enhancing user mobility experience through business analytics. Dr. Xi serves as CHSF College Research Committee Member and NBS Equity Diversity and Inclusion (EDI) Committee Member at the University of Newcastle. She is Co-chair of the Multimodal Urban Transportation Systems Analysis Committee in the World Transport Congress (2024-2026) and serves on editorial boards for International Journal of Transportation Science & Technology and Transportation Safety and Environment. She also acts as a peer reviewer for top transportation journals including Transportation Science and Transportation Research series.
Mats Johansson is Professor in Logistics and Supply Chain Management at the Division of Supply and Operations Management, Chalmers University of Technology. He serves as co-director of the Northern LEAD logistics research centre and is active within the Centre for Healthcare Improvement (CHI). Additionally, he coordinates the Logistics and Materials handling cluster within The Swedish Manufacturing R&D Clusters. His research spans several critical areas in modern supply chain management: Logistics and Supply Chain Management Circular Economy applications in transportation and construction Material Handling and Automated Loading/Unloading Systems Sustainable Transportation and Battery Recycling Digital Manufacturing and Construction Logistics Professor Johansson's recent work demonstrates a strong focus on how emerging technologies like autonomous vehicles and digital systems can transform traditional logistics operations while promoting circular economy principles. He has particular expertise in construction logistics, electric vehicle battery lifecycle management, and the human-technology interface in automated material handling systems. His research portfolio includes significant contributions to: Automated Loading and Unloading for Autonomous Transport Circular Material Flows in Construction and Manufacturing Digitalization of Supply Chain Processes Resource Efficiency in Logistics Systems Professor Johansson leads multiple research projects funded by organizations including VINNOVA and the Swedish Energy Agency, focusing on sustainable logistics solutions for various industries including automotive, construction, and transportation sectors.
