Zhengming Jiang | Computer Science | Best Academic Researcher Award

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Dr. Zhengming Jiang | Computer Science | Best Academic Researcher Award

Teacher from Guangdong Polytechnic Normal University, China

Dr. Zhengming Jiang is a dedicated academic and researcher in the field of information and communication engineering, currently serving as a lecturer at the Industrial Training Center, Guangdong Polytechnic Normal University. With over a decade of experience in academia and research, he has established himself as a promising expert in dual-function radar-communication systems, intelligent reflecting surfaces, and physical layer security. Dr. Jiang obtained his Ph.D. and Master’s degrees from Shenzhen University, which shaped his foundational expertise in advanced communication technologies. In recent years, he has gained further prominence through his postdoctoral work at the Shenzhen International Graduate School of Tsinghua University, in collaboration with Guangdong Kekaida Intelligent Robotics Co., Ltd. His scholarly output includes several first-author papers in top-tier journals such as the IEEE Internet of Things Journal and Digital Signal Processing. He has also been awarded and has led numerous national and provincial research grants, showcasing his capacity for high-impact research. Furthermore, Dr. Jiang has made significant contributions to the applied technology sector, as evidenced by his patented innovations in signal processing and communication security. His academic rigor, project leadership, and technical acumen place him among the leading emerging scholars in the field.

Professional Profile

Education

Dr. Zhengming Jiang has pursued a comprehensive academic path in communication engineering, demonstrating consistent dedication to excellence throughout his educational journey. He began his undergraduate studies in 2007 at Shaoyang University, where he obtained a Bachelor’s degree in Communication Engineering in 2011. His strong academic performance and interest in signal systems led him to Shenzhen University, where he pursued a Master’s degree in Communication and Information Systems, graduating in 2014. Motivated by a desire to delve deeper into advanced research, he continued at Shenzhen University to earn his Ph.D. in Information and Communication Engineering from 2017 to 2020. His doctoral research was instrumental in shaping his specialization in dual-function radar-communication systems and signal processing techniques. His academic foundation not only reflects deep theoretical knowledge but also practical application, which he further developed during his postdoctoral fellowship beginning in 2023 at the Tsinghua Shenzhen International Graduate School and Guangdong Kekaida Intelligent Robotics Co., Ltd. This postdoctoral phase has allowed him to engage in high-level collaborative research and contribute to national-level innovations. Dr. Jiang’s educational background showcases a well-rounded and in-depth mastery of his field, equipping him with the skills necessary for high-impact research and academic leadership.

Professional Experience

Dr. Zhengming Jiang has a diverse portfolio of academic and research experience, reflecting his progression from foundational teaching roles to high-level research leadership. His professional journey began in 2014 when he served as a teaching assistant in the Computer Science Department at Guangdong University of Science and Technology. Over the course of three years, he contributed to curriculum delivery and engaged students in the fundamentals of communication systems. In January 2021, he advanced to a lecturer position at the Industrial Training Center of Guangdong Polytechnic Normal University, where he continues to teach and mentor students while spearheading innovative research projects. His academic expertise is matched by his research initiative; he has successfully secured and managed several university- and province-level research grants as principal investigator. Most recently, in November 2023, Dr. Jiang began a prestigious postdoctoral appointment at the Shenzhen International Graduate School of Tsinghua University in conjunction with Guangdong Kekaida Intelligent Robotics Co., Ltd. This dual-institution position has enabled him to engage in interdisciplinary collaboration and contribute to cutting-edge research in intelligent communication technologies. His professional trajectory reflects a balance between teaching, project leadership, and research excellence, positioning him as a versatile academic and technical expert.

Research Interests

Dr. Zhengming Jiang’s research interests are deeply rooted in the development and integration of communication and radar technologies. He focuses on dual-function radar-communication systems, an emerging field that enhances spectrum efficiency by combining communication and sensing capabilities. His work explores the use of intelligent reflecting surfaces (IRS) to optimize signal propagation, minimize interference, and improve system robustness in dynamic environments. Dr. Jiang is particularly interested in the physical layer security of vehicular and automotive systems, addressing the growing need for secure communication in intelligent transportation infrastructure. Additionally, his research covers robust beamforming design, especially in complex or error-prone environments, which is vital for ensuring reliable wireless performance. Another important theme in his work is the integration of communication and sensing in millimeter-wave systems, contributing to the advancement of next-generation wireless networks. His interests align with current global trends in smart mobility, 6G technologies, and secure wireless communication. Dr. Jiang’s research not only addresses theoretical challenges but also emphasizes practical implementation and innovation, which is evident in his industry collaboration and patent filings. His ability to identify emerging needs and apply theoretical insights to real-world applications makes his research highly impactful and forward-thinking.

Research Skills

Dr. Zhengming Jiang possesses a comprehensive and advanced skill set in information and communication engineering, with specialized expertise in dual-function radar-communication systems and intelligent signal processing. He has demonstrated exceptional capability in the design and optimization of intelligent reflecting surfaces (IRS), focusing on enhancing wireless signal strength and quality in complex environments. His proficiency in robust beamforming techniques enables him to manage signal integrity in the presence of interference and modeling errors, a critical skill in modern communication systems. Dr. Jiang is also well-versed in millimeter-wave communications, particularly in scenarios requiring high-frequency data transmission and sensing integration. His ability to simulate and model physical layer systems is complemented by strong coding and algorithm development skills, particularly using MATLAB and Python. Furthermore, he is adept at experimental validation and hardware-software interfacing, which are essential for real-world implementation. His capacity to lead multidisciplinary research projects and collaborate with engineering teams has been proven through his work at Guangdong Kekaida and Tsinghua Shenzhen. Whether it is theoretical modeling, algorithm design, or system prototyping, Dr. Jiang exhibits a rare blend of analytical precision and engineering pragmatism, making him a valuable asset in both academic and applied research environments.

Awards and Honors

Dr. Zhengming Jiang has received recognition for his outstanding contributions to the field of communication systems through both academic and innovation-related achievements. Among his notable accomplishments is his role as the principal investigator and key contributor in several research projects funded by prestigious institutions such as the National Natural Science Foundation of China (NSFC). One of his ongoing research contributions includes participation in a significant NSFC general project valued at 550,000 RMB, focused on the modulation mechanisms of AlGaN-based ultraviolet communication devices. He has also led and completed provincial and university-level research grants totaling over 400,000 RMB, demonstrating his ability to conceptualize and execute high-impact studies. His publication record includes multiple first-author papers in high-impact journals such as IEEE Internet of Things Journal and IEEE Systems Journal, underscoring his leadership in scholarly dissemination. In addition, Dr. Jiang is a named inventor in a Chinese patent related to robust anti-interference navigation technologies, further showcasing his innovative contributions. These accomplishments reflect a strong recognition from both academic peers and industry stakeholders. While formal academic honors or teaching awards were not listed, his record of funded research, scholarly output, and intellectual property firmly positions him as a decorated and respected figure in his field.

Conclusion

In conclusion, Dr. Zhengming Jiang stands out as an accomplished early-career researcher with a clear trajectory toward long-term excellence in the fields of communication and radar systems. His educational and professional journey reflects a strong foundation, advanced specialization, and continuous development through prestigious appointments and collaborations. He has consistently demonstrated leadership in research, as evidenced by his role in major grant-funded projects, first-author publications in internationally reputed journals, and innovation in practical technologies such as anti-interference navigation systems. Dr. Jiang’s work directly aligns with pressing global needs, including secure and intelligent vehicular communications, spectrum efficiency, and next-generation wireless networks. His research is not only theoretically robust but also geared toward real-world applications, making a meaningful contribution to both academia and industry. With further expansion into global collaborations, mentorship roles, and interdisciplinary projects, Dr. Jiang is well-poised to reach even higher levels of academic recognition. Based on his current record, he is a strong candidate for awards recognizing research excellence and innovation. His blend of technical expertise, academic productivity, and real-world impact positions him as a leading researcher worthy of distinction.

Publications Top Notes

1. On the Physical Layer Security of Automotive Dual-Function Radar-Communication Systems

Authors: Zheng-Ming Jiang, Mohamed Rihan, Qijun Deng, Ehab Mahmoud Mohamed, Haitham S. Khallaf, Xiaojun Wang, Rasha Omar
Journal: IEEE Internet of Things Journal
Year: 2024
Volume/Issue: 11(3), Pages 5090–5104

2. Intelligent Reflecting Surface Aided Dual-Function Radar and Communication System

Authors: Zheng-Ming Jiang, Mohamed Rihan, Qiang Li, Lei Huang, Qijun Deng, Jihong Zhang, Ehab Mahmoud Mohamed
Journal: IEEE Systems Journal
Year: 2021
Volume/Issue: 16(1), Pages 475–486
Citations: 113 citations

3. Intelligent Reflecting Surface Aided Co-existing Radar and Communication System

Authors: Zheng-Ming Jiang, Qijun Deng, Min Huang, Zhenxing Zheng, Xiaojun Wang, Mohamed Rihan
Journal: Digital Signal Processing
Year: 2023
Volume: 141

4. Robust Beamforming Design for Co-existing Radar and Communication System with Bounded Error Model

Authors: Qijun Deng, Zhengming Jiang, Senming Zhong, Min Huang, Qiang Li, Mohamed Rihan
Journal: IEICE Transactions on Communications
Year: 2024
Volume/Issue: 12(3)

5. Maximum Likelihood Approach to DoA Estimation Using Lens Antenna Array

Authors: Zheng-Ming Jiang, Peichang Zhang, Mohamed Rihan, Lei Huang, Jihong Zhang
Journal: EURASIP Journal on Wireless Communications and Networking
Year: 2019
Volume: 2019: Article 1

Dr. Cong Guo | Computer Science | Best Researcher Award

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Dr. Cong Guo | Computer Science | Best Researcher Award

Nurse Practitioner at UNC Blue Ridge, United States.

Cong Guo, who earned his master’s degree in 2024 from the School of Computer and Information Engineering at Henan University, is currently pursuing a PhD in Computer Science and Technology at Zhejiang Normal University. His research specializes in machine learning and pattern recognition, fields that are increasingly relevant in today’s data-driven landscape. Guo has made significant contributions to the field, as evidenced by his publications, including a novel feature selection framework for incomplete data and a method for iterative missing value imputation based on feature importance. These works demonstrate his innovative approach to addressing common challenges in data science. While his academic background and publication record are impressive, expanding his publication scope and enhancing networking opportunities could further elevate his research impact. With his solid foundation and commitment to advancing knowledge in machine learning, Cong Guo is a promising candidate for recognition as a leading researcher.

Profile:

Education

Cong Guo received his master’s degree in 2024 from the School of Computer and Information Engineering at Henan University, where he laid a strong foundation in computer science principles and research methodologies. His academic journey has been characterized by a focus on machine learning and pattern recognition, reflecting his passion for harnessing data to solve complex problems. Currently, Cong is pursuing his Ph.D. at the School of Computer Science and Technology at Zhejiang Normal University, further enhancing his expertise in these cutting-edge fields. His educational experiences have equipped him with essential skills in data analysis, algorithm development, and statistical modeling, which are critical for his research. Throughout his studies, Cong has demonstrated a commitment to academic excellence and innovation, making significant strides in understanding and improving feature selection and data imputation techniques. His educational background positions him as a promising researcher in the rapidly evolving landscape of computer science.

Professional Experiences 

Cong Guo has demonstrated significant commitment to his academic and professional development in the field of computer science. He obtained his master’s degree from the School of Computer and Information Engineering at Henan University in 2024, where he developed a solid foundation in computer science principles and applications. Currently, he is pursuing his PhD at the School of Computer Science and Technology at Zhejiang Normal University, focusing on machine learning and pattern recognition. During his studies, Guo has engaged in research projects that involve innovative approaches to data analysis, particularly in handling incomplete datasets and missing value imputation. His publications in reputable journals reflect his dedication to advancing knowledge in his field. Additionally, his collaborative work with fellow researchers highlights his ability to contribute effectively to team-oriented projects, enhancing his experience and understanding of complex computational problems. This combination of academic rigor and research experience positions Guo as a promising researcher in computer science.

Research Interests

Cong Guo’s research interests lie primarily in the fields of machine learning and pattern recognition, where he aims to develop innovative algorithms and frameworks to address real-world challenges in data analysis. His work focuses on enhancing feature selection and imputation techniques, particularly in the context of incomplete datasets, which are common in many applications. By investigating novel approaches to handle missing data, Cong seeks to improve the accuracy and efficiency of machine learning models. Additionally, he is interested in exploring the broader implications of machine learning across various domains, such as healthcare, finance, and environmental science. Cong’s passion for advancing knowledge in these areas drives his commitment to research that not only contributes to theoretical advancements but also has practical applications that can benefit society. Through his ongoing doctoral studies and collaborative projects, he aims to further explore the intersections of machine learning and real-world problem-solving.

Research Skills 

Cong Guo possesses a robust set of research skills that enhance his capabilities in machine learning and pattern recognition. His proficiency in feature selection and data imputation techniques demonstrates a strong analytical mindset, enabling him to address complex challenges in handling incomplete datasets effectively. Guo is adept at employing various machine learning algorithms and tools, which allows him to develop innovative frameworks that optimize data analysis processes. His experience in collaborative research, evidenced by his co-authored publications, showcases his ability to work effectively in teams, share ideas, and contribute to collective goals. Additionally, Guo’s familiarity with statistical methods and computational techniques underpins his research, ensuring that his findings are both rigorous and applicable. His commitment to continuous learning and adaptation to emerging trends in technology further solidifies his expertise, making him a valuable asset in advancing the field of computer science and information engineering.

Award and Recognition 

Cong Guo has distinguished himself in the field of machine learning and pattern recognition, earning recognition for his innovative research contributions. He completed his master’s degree in 2024 at the School of Computer and Information Engineering, Henan University, where he developed a strong foundation in computational methodologies. Currently pursuing his PhD at Zhejiang Normal University, Cong has co-authored impactful publications, including “A novel feature selection framework for incomplete data” and “Iterative missing value imputation based on feature importance,” which have been well-received in reputable journals. His research not only addresses critical challenges in data science but also demonstrates his potential to influence future advancements in the field. Cong’s commitment to academic excellence and his collaborative spirit have garnered him respect among peers and mentors alike, positioning him as a promising candidate for the Best Researcher Award. His ongoing efforts are indicative of a bright future in research and innovation.

Conclusion

Cong Guo exhibits a promising trajectory in research, with a strong academic foundation and relevant publications in machine learning and pattern recognition. His commitment to advancing the field is evident in his current work. By broadening his publication efforts and enhancing his professional network, he can significantly improve his contributions to research. Given his strengths and potential for growth, Cong Guo is a suitable candidate for the Best Researcher Award.

Publication Top Notes
  1. A novel feature selection framework for incomplete data
  2. Iterative missing value imputation based on feature importance
  3. KNCFS: Feature selection for high-dimensional datasets based on improved random multi-subspace learning