HAIFEI CHEN | Visual SLAM | Best Researcher Award

Assoc .Prof. Dr. HAIFEI CHEN | Visual SLAM | Best Researcher Award

Central South University of Forestry and Technology, China

Dr. Haifei Chen is an accomplished Associate Professor at the School of Mechanical and Intelligent Manufacturing, Central South University of Forestry and Technology. Born in August 1990 in Chenzhou, Hunan, he is a dedicated scholar in the field of robotics and intelligent control. With a strong academic background and robust research portfolio, he has led numerous national and provincial research projects focusing on teleoperation robotics, multi-agent coordination, SLAM, and networked control systems. His scholarly contributions include over 20 high-impact SCI-indexed journal articles and multiple patents. A recognized academic leader, Dr. Chen holds key roles in national research centers and professional societies and serves as a reviewer for top-tier IEEE journals. His research has significantly advanced space robotics and teleoperation technologies. Through innovation, leadership, and academic excellence, he has positioned himself as a promising and impactful researcher in the field of intelligent robotics.

Professional Profile 

Education🎓

Dr. Haifei Chen pursued his doctoral studies at the School of Astronautics, Northwestern Polytechnical University, beginning in September 2017. His Ph.D. specialization was in navigation, guidance, and control under the supervision of Professor Panfeng Huang, a prominent academician and expert affiliated with the National Distinguished Youth Fund and military science commissions. Dr. Chen’s doctoral research focused on time-delay modeling and compensation for space teleoperation systems, laying a strong theoretical foundation for his current work. Prior to his doctoral education, he had successfully cleared national English proficiency exams including CET-6 and achieved an IELTS score of 6.0, reflecting a solid command of the English language for academic communication. His educational experience has equipped him with expertise in robotics, control systems, and artificial intelligence, supporting his contributions to both theoretical research and engineering practice. His education forms the core of his academic identity and drives his research in intelligent robotic systems.

Professional Experience📝

Dr. Haifei Chen currently serves as an Associate Professor at the School of Mechanical and Intelligent Manufacturing, Central South University of Forestry and Technology, a position he has held since December 2023. Prior to this, he was a Lecturer at the School of Mechanical and Electrical Engineering at the same university from February 2022 to December 2023. His academic trajectory has been steadily progressive, with research and teaching roles focused on robotic teleoperation, intelligent control, and remote robotic systems. His leadership includes managing multiple funded projects, mentoring students, and contributing to institutional development as a discipline leader in forestry equipment and intelligent systems. He is also affiliated with key research centers, including the National Engineering Research Center for Economic Forest Harvesting Equipment. His experience bridges fundamental research and practical implementation, making him a vital contributor to the advancement of robotics in forestry and space technology domains.

Research Interest🔎

Dr. Haifei Chen’s research interests are deeply rooted in robotic teleoperation, intelligent control, and multi-agent system collaboration. His work explores the challenges of time-delay in remote control systems, particularly in space teleoperation, with the goal of enhancing the precision and reliability of robotic operations under communication constraints. He is also focused on visual SLAM (Simultaneous Localization and Mapping), predictive control, and networked control systems—all critical to the development of autonomous and semi-autonomous robotic platforms. His recent research involves developing teleoperation systems for agricultural and forestry robots, such as oil-tea camellia fruit picking, using advanced machine learning algorithms and sensor fusion techniques. Dr. Chen aims to bridge the gap between theoretical models and practical deployment by incorporating real-time data processing, human-robot interaction, and decision-making algorithms. These interests reflect a multidisciplinary approach, integrating robotics, AI, and control theory to create intelligent, adaptive, and scalable robotic systems.

Award and Honor🏆

Dr. Haifei Chen has earned recognition both as a researcher and a community contributor. He serves as an expert reviewer for the National Natural Science Foundation of China (NSFC), reflecting his authority in his research field. He is the Vice Director of the National Engineering Research Center for Economic Forest Harvesting Equipment and serves on the Youth Committee of the Chinese Society of Forestry and the Robotics Subcommittee. These positions highlight his leadership within the academic and scientific communities. Furthermore, Dr. Chen has served as a reviewer for several internationally renowned journals, including IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Mechatronics, IEEE RA-L, Acta Astronautica, and ISA Transactions. His contributions to academic peer review and research management are clear indicators of professional excellence. While individual awards are not specifically listed, his prestigious roles and responsibilities underscore his impact and growing recognition in the robotics field.

Research Skill🔬

Dr. Haifei Chen possesses a versatile and advanced set of research skills in robotics and intelligent systems. He is highly proficient in modeling and controlling time-delay in networked and remote robotic systems—skills critical for real-time space and teleoperation environments. He has strong command over predictive control algorithms, Smith predictors, and error loop correction methods. His expertise extends to multi-agent coordination, robot vision (including SLAM), and motion planning, where he integrates machine learning techniques such as CNNs, BiGRUs, and attention mechanisms for state prediction and decision-making. He is adept at developing algorithms that optimize robotic response in high-latency environments, such as relay communication-based space missions. In addition to algorithm design, he is experienced in real-time robotic system integration and experimental validation. With skills spanning simulation, hardware interfacing, and intelligent control, Dr. Chen brings a comprehensive and technically rigorous approach to research that bridges theoretical development and engineering implementation.

Conclusionđź’ˇ

Dr. Haifei Chen presents a compelling case as a young and dynamic researcher who combines technical depth, publication excellence, research leadership, and innovation in intelligent robotics and remote control systems. He shows a rare blend of academic rigor, engineering practice, and institutional responsibility.

With minor enhancements in international outreach and broader recognition, he is on a strong trajectory toward becoming a leading figure in his domain. He is not only suitable, but in fact, a competitive nominee for the Best Researcher Award.

Publications Top Noted✍

  • Title: Path Integral Policy Improvement and Dynamic Movement Primitives Fusion-Based Impedance Force Control With Error Loop Correction
    Authors: Mujie Liu, Haifei Chen, Lijun Li, Zhiqiang Ma, Yong Xu, Hui Zhang
    Year: 2025
    Citation: IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2025.3562677

  • Title: Mapping Noise Optimization of the Cartographer on the Premise of Comparative Experimental Analysis
    Authors: Xuefei Liu, Haifei Chen, Zicheng Gao, Meirong Chen, Lijun Li, Kai Liao
    Year: 2025
    Citation: Mechatronics, DOI: 10.1016/j.mechatronics.2024.103289

  • Title: Position Prediction for Space Teleoperation With SAO-CNN-BiGRU-Attention Algorithm
    Authors: Keli Wu, Haifei Chen, Lijun Li, Zhengxiong Liu, Haitao Chang
    Year: 2024
    Citation: IEEE Robotics and Automation Letters, DOI: 10.1109/LRA.2024.3498700

  • Title: Bilateral Synchronization Control of Networked Teleoperation Robot System
    Authors: Zhengxiong Liu, Haifei Chen, Panfeng Huang, Yang Yang
    Year: 2024
    Citation: International Journal of Robust and Nonlinear Control, DOI: 10.1002/rnc.7374

  • Title: Time-Delay Modeling and Simulation for Relay Communication-Based Space Telerobot System
    Authors: Haifei Chen, Zhengxiong Liu, Panfeng Huang, Zhian Kuang
    Year: 2022
    Citation: IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2021.3090806

  • Title: Time-Delay Prediction–Based Smith Predictive Control for Space Teleoperation
    Authors: Haifei Chen, Zhengxiong Liu
    Year: 2021
    Citation: Journal of Guidance, Control, and Dynamics, DOI: 10.2514/1.G005714

Dinh Cong-Nguyen-Segmentation-Best Researcher Award

Dr. Dinh Cong-Nguyen-Segmentation-Best Researcher Award

Hong Duc University-Vietnam

Author Profile

Early Academic Pursuits

Dr. Nguyen Dinh Cong began his academic journey in 2006 at Hanoi University of Science and Technology, where he pursued a degree in Electronics and Telecommunication Engineering, earning the title of Engineer in 2011. This foundational education laid the groundwork for his future contributions to the field of computer science.

In 2013, Dr. Cong expanded his knowledge by undertaking a Master's program in Information and Communication Technology at the University of Science and Technology of Hanoi and the University of Poitiers, France. This international exposure broadened his perspective and deepened his expertise in the rapidly evolving field of technology.

Continuing his academic pursuit, Dr. Cong completed his Ph.D. in Computer Science at Tours University in 2020, solidifying his position as a seasoned researcher.

Professional Endeavors

Dr. Cong's professional journey has been closely tied to Hong Duc University, where he assumed the role of Head of the Division of Computer Science in 2012. His leadership has contributed to the growth and development of the division, shaping the academic landscape in the realm of computer science at the university.

Contributions and Research Focus On Segmentation

Dr. Cong's expertise lies in the intersection of artificial intelligence and computer vision. His research has been instrumental in addressing real-world challenges, such as developing software using artificial intelligence to detect pests in rice crops. His involvement in projects like building a toolkit for testing object recognition models against adversarial attacks showcases his commitment to advancing the reliability of cutting-edge technologies.

Accolades and Recognition

Dr. Cong's contributions have not gone unnoticed. He has authored numerous publications in prestigious journals, both international and national. Notable works include "PolyPooling: An accurate polyp segmentation from colonoscopy images" and "Fast RT-LoG operator for scene text detection." His research has been well-received and acknowledged by the scientific community.

In addition to his academic achievements, Dr. Cong has received recognition for his outstanding contributions to the field, such as being acknowledged by the Chairman of the People's Committee in Thanh Hoá for guiding students to excel in the National Computer Science Olympiad.

There are various ways to segment a market, each focusing on specific characteristics shared by a group of consumers. Demographic segmentation considers factors such as age, gender, income, and education level. Psychographic segmentation delves into lifestyle choices, values, and attitudes. Behavioral segmentation analyzes the purchasing patterns and behaviors of consumers, while geographic segmentation considers their location and regional differences. Combining these approaches provides a comprehensive understanding of the diverse segments within a target market.

Impact and Influence

Dr. Cong's impact extends beyond academia. His research on using artificial intelligence for pest detection in rice crops has practical implications for agriculture, contributing to food security. Furthermore, his work on evaluating and improving the reliability of object recognition models has implications for public security, aligning his research with societal needs.

Segmentation is a vital marketing strategy that involves dividing a larger target market into smaller, more manageable segments. This approach recognizes the diversity among consumers, acknowledging that a one-size-fits-all marketing strategy may not effectively resonate with the varied needs and preferences of different groups. In essence, segmentation allows businesses to understand their audience on a granular level, paving the way for more targeted and personalized marketing initiatives.

Legacy and Future Contributions

As Dr. Cong continues to lead the Division of Computer Science and contribute to cutting-edge research, his legacy is marked by a commitment to excellence and a drive to address real-world challenges. His multidisciplinary approach, combining computer science with agriculture and security, positions him as a trailblazer in innovative research.

Looking ahead, Dr. Cong is poised to make further contributions to the field, leveraging his expertise to address emerging challenges and guide the next generation of researchers in the dynamic field of computer science.

In summary, Dr. Nguyen Dinh Cong's academic journey, professional endeavors, impactful research, and recognition collectively paint a portrait of a dedicated and influential figure in the field of computer science. His legacy and future contributions underscore his commitment to advancing knowledge and solving real-world problems.

Notable Publication