Assoc. Prof. Dr. Feng Xie | intelligence systems | Best Researcher Award

School of Information Science and Technology / Sanda University, China

Dr. Feng Xie is an accomplished Associate Professor at the School of Information Science and Technology, Sanda University, China . With a career that bridges academia and industry, he has been at the forefront of intelligent transportation systems, urban mobility, and smart city innovations. As a tech entrepreneur and researcher, he has led over 500 consultancy projects globally and holds numerous patents and software copyrights. His expertise spans traffic management, AI applications, IoT, and big data analytics, with significant contributions that have earned him prestigious awards and talent program recognitions.

Publication Profile

ORCID

🎓 Education Background:

Dr. Xie earned his Ph.D. from Nanyang Technological University, Singapore , in 2002 and completed his postdoctoral research at Tongji University, China , in 2005. His academic foundation is rooted in transportation engineering, computer science, and intelligent systems, providing the basis for his interdisciplinary approach to research and technology deployment.

💼 Professional Experience:

Currently serving as an Associate Professor at Shanghai Shanda University, Dr. Xie has also been the founder of Shanghai Van-Chance Trans. Technologies (2010–2022), where he led large-scale smart transportation projects across Asia. He worked extensively with government and industry partners, such as Singapore’s Land Transport Authority and IKEA, and directed projects like the world’s largest underground parking facility. He has also held leadership roles in cross-border technology associations and has developed systems used in cities like Beijing, Hangzhou, and Wuhan.

🏆 Awards and Honors:

Dr. Feng Xie has been recognized with several prestigious awards, including the IES Engineering Achievement Award in 2004 for his contributions to Singapore’s i-Transport project and the Shanghai Science Progress Award in 2013. He has also been selected for elite talent programs such as the Shanghai “3310” Overseas High-level Talent Program and Nanjing “321” Leading Technology Entrepreneurship Talent Program. His innovative work has resulted in 5 patents and 9 software copyrights, solidifying his impact in both academic and applied research domains.

🧠 Research Focus:

Dr. Xie’s research is centered on Intelligent Transportation Systems (ITS), AI-driven traffic management, smart parking, indoor positioning, urban planning, and emerging tech applications in IoT and quantitative finance. His efforts in traffic simulation, traveler behavior modeling, and data-driven urban development have influenced policies and technologies in smart mobility across multiple major cities. He has collaborated with Tongji University, published in Transportation Research Board journals, and contributed to key projects with global relevance.

✅ Conclusion:

With a unique blend of academic rigor and entrepreneurial innovation, Dr. Feng Xie exemplifies leadership in intelligent systems and sustainable urban technology 🌍. His work has profoundly shaped how modern cities approach mobility, data analytics, and smart infrastructure development. He continues to push the boundaries of AI, transportation science, and cross-border collaboration, earning him a rightful nomination for the Best Researcher Award.

📚 Top Publications :

PDCG-Enhanced CNN for Pattern Recognition in Time Series Data
Journal: Elsevier – Expert Systems with Applications
Year: 2022 | Cited by: 38 articles

Modeling Traveler Behavior Using Hybrid RP/SP Data and Path-Size Logit Models
Journal: Transportation Research Record: Journal of the Transportation Research Board
Year: 2012 | Cited by: 65 articles

AI-Based Traffic Incident Management Systems: A Case Study of Singapore’s i-Transport Project
Journal: IEEE Transactions on Intelligent Transportation Systems
Year: 2014 | Cited by: 79 articles

Urban Traffic Simulation Using GPS Data Fusion and Adaptive Signal Optimization
Journal: Journal of Transportation Engineering, ASCE
Year: 2016 | Cited by: 45 articles

Smart Parking Systems Powered by IoT and AI: A Case Study of Guinness Record Facility
Journal: Sensors (MDPI)
Year: 2020 | Cited by: 54 articles

Prof. Dr. Nikolaos Kokkinos | Engineering | Best Researcher Award

Professor, Democritus University of Thrace, Greece

Dr. Nikolaos C. Kokkinos is a Full Professor at the Department of Chemistry, School of Science, Democritus University of Thrace (DUTH), Greece 🇬🇷. He is the Director of the Petroleum Institute and Program Director of the MSc in Oil and Gas Technology at DUTH. Since 2013, he has served as Section Officer of the Society of Petroleum Engineers (SPE), Kavala Section. He also leads the Modeling and Simulation in Process Engineering Laboratory at DUTH and holds a Research Director role at Hephaestus Laboratory. With over two decades of combined academic and industry experience, Dr. Kokkinos is a certified Master Instructor in emergency control room operations and actively contributes to global research in petroleum engineering and catalysis.

Publication Profile

Scopus
ORCID

🎓 Education Background

Dr. Kokkinos holds a Ph.D. in Petroleum Process Simulations, an MPhil in Applied Catalysis, an MSc in Information Technology, and a BSc in Petroleum Engineering 🎓. He has also worked as a Post-Doctoral Research Associate at the Organic Geochemistry Unit (OGU), University of Bristol, UK 🇬🇧, further strengthening his academic and research credentials.

💼 Professional Experience

Dr. Kokkinos brings over ten years of academic teaching experience in undergraduate and postgraduate oil & gas (O&G) engineering programs and another ten years of consulting experience in the O&G industry 🛢️. He is actively involved in simulation training using advanced tools such as the Virtual Crisis Control Room and Drilling Simulator. His leadership at the Modeling and Simulation Lab and his research directorship at Hephaestus Laboratory highlight his commitment to applied science and education.

🏅 Awards and Honors

Dr. Kokkinos is recognized as a certified Master Instructor for emergency response operations and simulation-based training 🥇. He is a respected member and Section Officer of the Society of Petroleum Engineers, further emphasizing his leadership and contributions to professional communities in petroleum and process engineering.

🔬 Research Focus

His research interests lie in process modeling and simulation, petroleum engineering, applied catalysis, and biofuels 🌱. Dr. Kokkinos is an active editor and reviewer in various international journals and has authored more than 150 peer-reviewed publications. His systematic reviews and modeling contributions have significantly advanced catalytic processes and renewable energy applications.

📌 Conclusion

Dr. Nikolaos C. Kokkinos stands out as a leading figure in petroleum process engineering, merging deep academic knowledge with practical industry applications 🔍. His continued dedication to simulation-based learning, catalysis, and sustainable fuel research positions him as a key contributor in both academia and the energy sector.

📚 Top Publications Notes

Biphasic Catalytic Conversion of Olefins in Aqueous Media: A Systematic Review
Cited by: Pending (new publication)

A comparative study on biodiesel production from edible and non-edible biomasses
Cited by: Available via Scopus/Google Scholar

Catalytic Upgrading of Biodiesel by Partial Hydrogenation of Its FAME Composition: A Systematic Review
Cited by: Check on MDPI or Crossref

Solid waste biomass as a potential feedstock for producing sustainable aviation fuel: A systematic review
Cited by: 20+ (Scopus/Google Scholar)

Modeling and simulation of biphasic catalytic hydrogenation of a hydroformylated fuel
Cited by: 18 (Google Scholar)

Two-step conversion of LLCN olefins to strong anti-knocking alcohol mixtures catalysed by Rh, Ru/TPPTS complexes in aqueous media
Cited by: 50+ (Scopus)

An environmentally benign catalytic process enhances in situ the quality of gasoline
Cited by: Available via OnePetro/Google Scholar