Ke Wang | Travel Demand Modeling | Best Researcher Award

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Assoc. Prof. Dr. Ke Wang | Travel Demand Modeling | Best Researcher Award

Associate Professor at University of Shanghai for Science and Technology, China

Ke Wang is an Associate Professor at the University of Shanghai for Science and Technology, specializing in travel behavior analysis, travel demand modeling, sustainable mobility, and data mining. His research contributions focus on advanced econometric models and machine learning techniques for understanding travel behavior and transportation systems. With over 190 citations, an H-index of 7, and an i-10 index of 6, Ke Wang has published extensively in high-impact transportation journals and conferences.

Publication Profile 

Scopus

Educational Background 🎓

  • Joint Ph.D. in Transportation Engineering (2018.09 – 2019.09)

    • University of Texas at Austin

    • Supervisor: Prof. Chandra R. Bhat

  • Ph.D. in Transportation Engineering (2015.09 – 2021.01)

    • Tongji University

    • Supervisor: Prof. Xin Ye

  • B.E. in Transportation Engineering (2011.09 – 2015.06)

    • Chang’an University

Professional Experience 💼

  • Associate Professor (2024.07 – Present)

    • University of Shanghai for Science and Technology

  • Assistant Professor (2021.06 – 2024.06)

    • University of Shanghai for Science and Technology

  • Research Assistant (2018.09 – 2019.09)

    • Center for Transportation Research, University of Texas at Austin

  • Research Assistant (2013.12 – 2015.06)

    • Institute of Regional and Urban Transportation Economics, Chang’an University

Research Interests 🔬

  • Travel Behavior Analysis & Travel Demand Modeling

  • Sustainable Mobility & Urban Transportation Planning

  • Advanced Econometric & Machine Learning Models for Transportation

  • Shared Autonomous Vehicles & Ride-Hailing Services

  • Public Transport Accessibility & Mode Choice Analysis

Conclusion🌟

Ke Wang is a rising scholar in transportation engineering, contributing innovative methodologies to travel behavior modeling and sustainable mobility. His research integrates statistical modeling, artificial intelligence, and urban transportation systems to inform policy decisions. His extensive publication record in top-tier journals (SSCI, SCI, JCR Q1-Q3) demonstrates his influence in the field.

Publications 📚

📄 Article | ✈️ Urban Air Mobility & Flying Cars
Title: Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars
Authors: S. Hu, Z. Huang, K. Wang, H. Lin, M. Pei
Journal: Multimodal Transportation (2025)
📌 Citations: 0

📄 Article | 🚲 E-Bike Helmet Usage & Safety
Title: Deconstructing the barriers and facilitators of e-bike helmet usage: A structural equation modeling approach
Authors: M. Pei, Z. Huang, K. Wang, X. Ye
Journal: Journal of Transport and Health (2025)
📌 Citations: 0

📄 Article | 🚗 Mobility as a Service (MaaS) & Face Consciousness
Title: The effects of face consciousness on young travelers’ intention to adopt mobility as a service (MaaS): A case study in Shanghai, China
Authors: J. Wen, H. Gan, K. Wang, Y. Huang, H. Lu
Journal: Research in Transportation Economics (2025)
📌 Citations: 0

📄 Article | ⚡ EV Range Anxiety & Willingness to Pay
Title: Range anxiety and willingness to pay: Psychological insights for electric vehicles
Authors: M. Pei, Z. Huang, Z. Zhang, K. Wang, X. Ye
Journal: Journal of Renewable and Sustainable Energy (2025)
📌 Citations: 0

📄 Article | 🌍 Carbon Emissions & Power Sector Transformation
Title: Carbon emission drivers of China’s power sector and its transformation for global decarbonization contribution
Authors: L. Zhao, K. Wang, H. Yi, J. Zhen, H. Hu
Journal: Applied Energy (2024)
📌 Citations: 4

Erik De Kuyffer | Planning Optimization | Best Researcher Award

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Mr. Erik De Kuyffer | Planning Optimization | Best Researcher Award

PhD Student at University of Ghent, Belgium

Erik De Kuyffer is a seasoned project and program manager with extensive experience in IT, logistics, customer service, and business development. His expertise lies in optimization, innovation, and people management, making him a valuable asset in various industries. He has led teams, managed complex projects, and developed new services across multiple organizations.

Publication Profile 

Scopus

Orcid 

Educational Background 🎓

  • Ongoing: Ph.D. in Artificial Intelligence, Ghent University (UGent)
  • 2011: Postgraduate TIM, HoGent
  • 2008: ManaMa Avionica & Spacionica, KHBO
  • 1997: Industrial Engineer Chemistry, KAHO Sint-Lieven
  • 1990: ASO Latin-Mathematics, Sint-Michielscollege Brasschaat

Professional Experience 💼

Current Position:

  • INDEFF (2023 – Present) – Freelance Managed Services Lead
    • Leads project and program management initiatives.
    • Manages IT and OT teams.
    • Develops and markets new services.

Previous Roles:

  • Qurtinz (2021 – 2023) – Freelance Project Manager
    • Oversaw daily operations, customer service, and IT management.
    • Managed administrative and installation teams.
  • INDEFF (2018 – 2021) – PM/Regional Director
    • Handled project/program management, business development, and support teams.
  • Vandapower (2017) – Operations Director
    • Managed production, logistics, and quality control.
    • Supervised operational teams.
  • Barco N.V. (2015 – 2017) – Customer Service Manager
    • Improved customer service flows and developed new services.
    • Led a team of engineers.
  • Generix Group (2012 – 2015) – PM/Customer Service Manager
    • Managed software projects, presales, and customer service.
  • Net Solutions/Eozen (2006 – 2012) – Project Manager
    • Led software and IT projects, technical analysis, and presales activities.
  • Influe Benelux NV (1999 – 2006) – Technical Manager EDI/VMI
    • Managed technical implementations, parameter settings, and project coordination.
  • GHD Katoennatie Gent (1998 – 1999) – Logistic Warehouse Manager
    • Oversaw daily warehouse operations for Volkswagen.
  • Procter & Gamble (1997 – 1998) – Research Associate
    • Conducted market research for detergent product launches.

Research Interests 🔬

  • Artificial Intelligence (AI)
  • Project Management Optimization
  • IT and Digital Transformation
  • Automation and Process Optimization
  • Logistics and Supply Chain Management

Awards and Honors🏆✨

  • Prince2 Certificate (Project Management)
  • Recognized expertise in project/program management across multiple industries.

Conclusion🌟

Erik De Kuyffer is a highly experienced professional with a strong background in project and program management, IT, logistics, and artificial intelligence. His diverse career spans leadership roles across industries, showcasing expertise in business development, innovation, and optimization. Currently pursuing a Ph.D. in AI at Ghent University, he continues to explore cutting-edge technologies and their applications in various domains.

Publications 📚

📌 Travel route and formation optimization for flocks of drones in package delivery by using an ACO based V-Shape algorithm
📅 2024-12 | 📚 Results in Engineering
🔗 DOI: 10.1016/j.rineng.2024.103627
✍️ Contributors: E. De Kuyffer, W. Joseph, L. Martens, T. De Pessemier

📌 Offshore windmill and substation maintenance planning with Distance, Fuel consumption and Tardiness optimisation
📅 2023 | 📚 Operations Research Perspectives
🔗 DOI: 10.1016/j.orp.2023.100267
✍️ Contributors: E. De Kuyffer, K. Shen, L. Martens, W. Joseph, T. De Pessemier