Fanshan Meng | Engineering | Best Researcher Award

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Mr. Fanshan Meng | Engineering | Best Researcher Award

School of Mechanical and Storage Engineering, China University of Petroleum (Beijing) | China

Author Profile

Scopus

Early Academic Pursuits

Mr. Fanshan Meng commenced his academic journey at China University of Petroleum (Beijing), where he pursued a Bachelor's degree in Energy and Power Engineering. His curriculum included rigorous courses in fluid mechanics, thermodynamics, and heat transfer, laying a solid foundation for his future endeavors in the field of energy engineering.

Professional Endeavors

Building upon his undergraduate studies, Mr. Meng embarked on a Master's program in Energy and Power at China University of Petroleum (Beijing). Throughout his academic journey, he demonstrated proficiency in software tools such as SolidWorks, MATLAB, and COMSOL, alongside his expertise in experimental techniques and instrumentation.

Contributions and Research Focus

Mr. Meng's research endeavors have focused on innovative solutions in thermal engineering, particularly in the areas of heat exchange and infrared measurement techniques. His contributions to projects such as the Variable Temperature Infrared BRDF Test Research and the Medium and Deep Geothermal Single Well Heat Exchange Technology exemplify his dedication to advancing knowledge in energy systems and thermal sciences.

Accolades and Recognition

Mr. Meng's research efforts have garnered recognition in the academic community, with publications in esteemed journals such as Optics Express and Infrared Physics & Technology. His contributions to scientific literature underscore his commitment to rigorous inquiry and scholarly excellence in his field.

Impact and Influence

Through his internship experiences and campus engagements, Mr. Meng has made significant contributions to his academic and professional communities. His leadership roles in student organizations and volunteer services highlight his proactive approach to community engagement and his ability to inspire others through his actions.

Legacy and Future Contributions

Looking ahead, Mr. Meng aims to continue his pursuit of innovative research initiatives that address critical challenges in energy and thermal engineering. With a focus on sustainability and technological innovation, he seeks to contribute to the development of cleaner, more efficient energy systems that will have a lasting impact on society and the environment.

Notable Publications

A Kalman-filtering-based BRDF online measurement method for variable temperature surfaces 2023

Infrared BRDF measurement based on projection reconstruction with attenuated aperture filter effects 2023 (1)

Infrared BRDF spatial scanning measurement with an optimized rotation strategy of a robotic arm 2023 (2)

 

 

 

Mr. Zonghai Chen | Engineering | Best Researcher Award

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Mr. Zonghai Chen | Engineering | Best Researcher Award

University of Science and Technology of China | China

Author Profile

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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

 

 

 

 

Zhiwei Yang | Computer Science | Best Researcher Award

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Dr. Zhiwei Yang | Computer Science | Best Researcher Award

Jinan University | China

Author Profile

Scopus

Early Academic Pursuits

Zhiwei Yang embarked on his academic journey with a focus on Computer Science, earning a Master's degree in Computer Science from Fuzhou University. Subsequently, he delved into advanced studies, pursuing a Ph.D. in Computer Software and Theory at Jilin University. During his doctoral journey, he also broadened his academic horizons as a full-time exchange Ph.D. student at Hong Kong Baptist University, under the mentorship of Prof. Jing Ma.

Professional Endeavors

Currently holding the position of Assistant Professor at the Guangdong Institute of Smart Education, Jinan University, Guangzhou, China, Zhiwei Yang has demonstrated his commitment to academia. His professional path has been marked by a dedication to unraveling the intricacies of Information Extraction and Rumor Detection.

Contributions and Research Focus

Zhiwei Yang's research contributions extend beyond the confines of traditional academia. With over 10 publications in esteemed international conferences and journals such as AAAI, IJCAI, EMNLP, COLING, TNNLS, IPM, Neurocomputing, among others, he has significantly impacted the fields of Information Extraction and Rumor Detection. Furthermore, his innovative work has been acknowledged with the granting of three Chinese national invention patents.

Accolades and Recognition

Zhiwei Yang's scholarly pursuits have earned him recognition and respect in the academic community. Serving as a reviewer for prestigious conferences and journals including ACL, AAAI, KDD, IPM, Neural Networks, reflects the acknowledgment of his expertise in the field.

Impact and Influence

Zhiwei Yang's influence resonates not only through his publications and patents but also through his role as an educator, shaping the minds of aspiring scholars. His insights and contributions have contributed to advancements in the understanding and application of Information Extraction and Rumor Detection.

Legacy and Future Contributions

As an emerging figure in the realm of Computer Science, Zhiwei Yang's legacy is marked by a dedication to knowledge dissemination and innovative research. His future contributions are anticipated to further enrich the fields of Information Extraction and Rumor Detection, leaving an enduring impact on the academic landscape.

Notable Publications

CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy 2024

A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection 2022

Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition 2022 (22)

Bringing order to episodes: Mining timeline in social media 2021 (3)