Kai Huang | Engineering | Best Researcher Award

Dr. Kai Huang | Engineering | Best Researcher Award

Southeast University | China

Author Profile

Scopus

Early Academic Pursuits

Dr. Kai Huang began his academic journey at the Huaiyin Institute of Technology in China, where he earned his Bachelor's degree in Transportation Engineering in 2014, graduating with a GPA of 4.57/5, ranking first in his class. He continued his studies at Southeast University in China, earning a Master's degree in Transportation Engineering in 2016, under the supervision of Prof. Wei Deng. Dr. Huang then pursued a Ph.D. in Transportation Systems at Monash University in Australia, completing his degree in 2020. His Ph.D. research focused on the optimization of transportation systems and shared mobility modeling, with a project on network planning and operation strategies design for one-way carsharing systems, supervised by Prof. Kun An and Prof. Zhiyuan Liu.

Professional Endeavors

Dr. Huang has a diverse professional background, including roles as an Assistant Professor at Southeast University, a Post-doctoral Research Fellow at UT Austin, and an Invited Lecturer at Monash University in Suzhou, China. His professional experience also includes research assistant positions at Tongji University and the Transportation Mobility Research Institute (TMRI) in China. His projects span various topics, including smart city projects, driving behavior analysis, and transportation system optimization.

Contributions and Research Focus

Dr. Huang's research interests are in transportation system optimization, shared mobility modeling, and the integration of digital and sustainable solutions in transportation. His significant research projects include the National Natural Science Foundation of China-funded study on shared automated electric vehicle relocation, and various projects focusing on transportation system optimization and smart city models. Dr. Huang has also been involved in research on traffic impedance function models, vehicle relocation in carsharing systems, and the development of intelligent transportation systems.

Accolades and Recognition

Dr. Huang has received numerous awards and honors throughout his career, including the Third Prize of China Communications and Transportation Association Science and Technology Award in 2023, the Second Prize of the 29th World Congress of Intelligent Transportation Innovation Competition in 2022, and the ARRB Group - Monash Transport Research Prize in 2019. He has also been recognized for his outstanding contributions as a reviewer and has received multiple scholarships and travel awards during his academic tenure.

Impact and Influence

Dr. Huang's research has had a significant impact on the field of transportation engineering, particularly in the areas of shared mobility and transportation system optimization. His work on carsharing systems and smart city transportation models has contributed to the development of more efficient and sustainable transportation solutions. Dr. Huang's publications in high-impact journals and his involvement in various international research projects demonstrate his influence in the academic community.

Legacy and Future Contributions

Dr. Huang's legacy is characterized by his contributions to the advancement of transportation engineering through innovative research and practical applications. His ongoing research on shared autonomous vehicles and smart transportation systems continues to address the challenges of urban mobility and sustainability. As an active member of the academic and professional community, Dr. Huang is poised to make further significant contributions to the field, influencing future generations of transportation engineers and researchers.

Notable Publications

Short-term and long-term impacts of shared autonomous vehicle choice behavior 2024

Exploring Optimal Signal Plans for Isolated Signalized Intersections with Central Pedestrian Refuges 2024

A Systematic Approach for the Calibration of Route Choice Models Based on Stochastic User Equilibrium 2023 (1)

Innovations impacting the future of transportation: an overview of connected, automated, shared, and electric technologies 2022 (11)

The taxi sharing practices: Matching, routing and pricing methods 2022 (20)

 

 

 

 

Mr. Zonghai Chen | Engineering | Best Researcher Award

Mr. Zonghai Chen | Engineering | Best Researcher Award

University of Science and Technology of China | China

Author Profile

Orcid

Early Academic Pursuits

Chen Zonghai's academic journey commenced with a Bachelor's degree in Systems Science and Management Science from USTC, spanning from 1983 to 1988. He continued his education at USTC, achieving a Master's in Control Science and Engineering from 1988 to 1991.

Professional Endeavors

Chen Zonghai's career began as a Teaching Assistant at USTC's Department of Automation from 1991 to 1993. Progressing through the academic ranks, he served as a Lecturer from 1993 to 1995, an Associate Professor from 1995 to 1998, and has held the position of Professor since 1998. His work primarily focused on modeling, simulation, optimization of petrochemical processes, and later expanded into control of complex systems, intelligent science, robotics technology, and green energy.

Contributions and Research Focus

With a profound impact in the field, Chen Zonghai's research spans diverse areas, including modeling and control of complex systems, intelligent science, robotics technology, and green energy. His research interests also encompass fuzzy logic applications, renewable energy vehicles, and decision-making processes.

Accolades and Recognition

Chen Zonghai's exemplary contributions have earned him 13 national or local state technology awards in China. He holds credit for applying for 40 national patents and has an extensive publication record with over 450 papers and 3 monographs.

Impact and Influence

Chen Zonghai's influence extends beyond academia, with significant contributions to the technological landscape. His work on power lithium battery management systems, intelligent control technology for wind-solar hybrid energy, and simulation training systems have garnered national recognition.

Legacy and Future Contributions

As a Professor and Doctoral tutor at USTC, Chen Zonghai continues to shape the future of control science and engineering. His legacy includes numerous awards, a prolific publication record, and advancements in technology. His ongoing research projects, such as intelligent information representation and adaptation techniques for renewable energy vehicles, reflect his commitment to addressing contemporary challenges in the field.

Notable Publications

End-to-end deep learning powered battery state of health estimation considering multi-neighboring incomplete charging data 2024

A LiDAR SLAM System With Geometry Feature Group-Based Stable Feature Selection and Three-Stage Loop Closure Optimization 2023 (1)

Feature&Distribution-based LiDAR SLAM with Generalized Feature Representation and Heuristic Nonlinear Optimization 2023 (2)

Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay 2023

Two-level Battery Health Diagnosis using Encoder-decoder Framework and Gaussian Mixture Ensemble Learning Based on Relaxation Voltage 2023