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

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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

Ilias Chouridis | Automation | Best Researcher Award

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Mr. Ilias Chouridis | Automation | Best Researcher Award

Mechanical Engineer, International Hellenic University, Greece

Ilias Chouridis is a passionate researcher in robotics and mechatronics, currently pursuing his Ph.D. at the International Hellenic University in Thessaloniki, Greece. 🎓 His academic journey began with a diploma in Mechanical Engineering from the Polytechnic School of Aristotle University of Thessaloniki. With a keen interest in bio-inspired optimization methods and evolutionary algorithms, he focuses on enhancing unmanned aerial vehicle (UAV) path planning. 🚀 His expertise in cutting-edge robotic systems has positioned him as an emerging figure in the field of intelligent navigation and optimization.

Publication Profile

🎓 Education

Ilias Chouridis obtained his diploma in Mechanical Engineering from the prestigious Polytechnic School of Aristotle University of Thessaloniki. Currently, he is advancing his academic career by pursuing a Ph.D. in Robotics and Mechatronics Systems Navigation at the International Hellenic University, where his research delves into innovative algorithms for UAV path planning. 📡

💼 Experience

As a researcher at the International Hellenic University, Thessaloniki, Ilias Chouridis has actively contributed to the development of advanced robotic navigation systems. 🤖 His work primarily focuses on optimization techniques for three-dimensional path planning, integrating artificial intelligence into robotic applications. Additionally, he has peer-reviewed research in Engineering Applications of Artificial Intelligence, further demonstrating his expertise in the field.

🏆 Awards and Honors

While specific awards have not been listed, his scholarly contributions in robotics and optimization have earned recognition through citations and peer review activities. His work has gained traction in the academic community, reinforcing his impact in robotic path optimization. 🎖️

🔬 Research Focus

Ilias Chouridis’ research centers on bio-inspired optimization techniques and evolutionary algorithms, particularly for UAV path planning. 🌍 His studies involve enhancing robotic system efficiency through hybrid artificial intelligence methodologies, ensuring optimal and precise navigation in complex environments. His innovative approach aims to reduce path length and improve the adaptability of autonomous systems in real-world applications.

🔍 Conclusion

Ilias Chouridis is an emerging scholar in robotics and artificial intelligence, with a strong focus on optimization and UAV navigation. His contributions to three-dimensional path planning are shaping the future of autonomous robotic systems. 🌟 His dedication to AI-driven navigation systems ensures that his work will continue to influence robotics research and technological advancements.

📚 Publications

Enhanced Hybrid Artificial Fish Swarm Algorithm for Three-Dimensional Path Planning Applied to Robotic Systems – Robotics, 2025
📄 DOI: 10.3390/robotics14030032

Cited by: 1 article

Three-Dimensional Path Planning Optimization for Length Reduction of Optimal Path Applied to Robotic Systems – Robotics, 2024
📄 DOI: 10.3390/robotics13120178

Mr. Federico Briatore | Industry 4.0 | Best Researcher Award

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Mr. Federico Briatore | Industry 4.0 | Best Researcher Award

University of Genoa, Italy

Federico Briatore is a dynamic researcher and consultant from Italy, specializing in Industry 4.0, Artificial Intelligence, and Healthcare. With a strong background in engineering and business administration, he has worked on optimizing industrial processes, implementing AI-driven solutions, and advancing digital transformation in various sectors. His expertise spans economic analysis, digital transformation, predictive modeling, and automation. Federico has also contributed significantly to academia with numerous research publications in top-tier journals and conferences.

Publication Profile

🎓 Education

Federico holds a Ph.D. in Engineering of Models, Machines, and Systems for Energy, Environment, and Transportation (expected in 2025). He has also earned a Master’s Degree (Level II) in Artificial Intelligence and Blockchain, an MBA (Level II) with honors, and a Master’s Degree in Management Engineering. Additionally, he is a certified engineer in both the Industrial and Information sectors. His educational foundation is further strengthened by a Bachelor’s Degree in Industrial and Management Engineering and a High School A-level diploma in Administration, Finance, and Marketing.

💼 Experience

Federico has extensive experience across multiple industries, including consultancy roles at Regione Liguria, Covim SPA, and OM3 Engineering SRL, where he optimized production processes and digital transformation strategies. His expertise in AI was further honed at Metakol S.r.l., where he trained AI models for insurance fraud detection and maritime forecasting. He has also served as a high school professor, teaching Mathematics, Computer Science, and Physics. His work spans market analysis, financial statement analysis, process optimization, and AI-driven solutions for industrial and healthcare applications.

🏆 Awards and Honors

Federico has been recognized for his academic excellence, securing 110/110 in his Master’s degrees and an MBA with honors (110 con lode/110). His innovative projects in Industry 4.0 and Healthcare AI have been acknowledged through publications in prestigious journals and conferences. His engineering and technological solutions have contributed to advancements in sustainable supply chains, hospital management, and industrial automation.

🔬 Research Focus

Federico’s research interests revolve around Industry 4.0, Artificial Intelligence, and Healthcare Systems. His work integrates IoT, Cyber-Physical Systems, and AI-driven predictive modeling to optimize industrial and medical processes. He has conducted bibliometric analyses on sustainable supply chains, developed AI models for maritime forecasting, and worked on Engineering 4.0 applications to combat hospital infections and enhance bed management systems.

🔎 Conclusion

Federico Briatore is a multidisciplinary expert in Industry 4.0, AI, and digital transformation, contributing both academically and professionally to technological advancements in healthcare and industrial sectors. His diverse research, consultancy, and teaching experiences make him a key figure in modern engineering and business innovations. 🚀

📖 Publications

Exploring Industry 4.0’s Role in Sustainable Supply Chains: Perspectives from a Bibliometric Review (2025) – Logistics

Advanced 4.0 Bed Management System, embedded with IoT, Digital Twins, and Cyber-Physical System (2024) – TechRxiv

Personal Protective Equipment Management and Maintenance: An Innovative Project Conducted in a Major Italian Manufacturing Company (2023) – WSEAS Transactions on Systems

A Literature Review on Applied AI to Public Administration: Insights from Recent Research and Real-Life Examples (2023) – Book Chapter

An Application of Engineering 4.0 to Hospitalized Patients (2023) – SysInt 2022 Conference

Fighting Hospital Infections with Engineering 4.0 (2023) – SysInt 2022 Conference

Artificial Intelligence for Supporting Forecasting in the Maritime Sector (2022) – Summer School Francesco Turco Proceedings

Engineering Solutions 4.0 in the Fight Against the Spread of COVID-19 (2022) – Summer School Francesco Turco Proceedings