Zhengming Jiang | Computer Science | Best Academic Researcher Award

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

Alireza Akoushideh | Computer Science | Best Researcher Award

Assist. Prof. Dr. Alireza Akoushideh | Computer Science | Best Researcher Award

Electrical and Computer Department from Iran’s National University of Skill, Iran

Dr. Alireza Akoushideh is an Assistant Professor in Electronics Engineering with a specialization in image processing, parallel processing, and microcontroller-based systems. With over two decades of experience in academia and research, he has made significant contributions to digital electronics, focusing on industrial applications. His expertise extends to supervising research projects, authoring academic books, and securing multiple patents. Dr. Akoushideh has been an active participant in national and international collaborations, including a visiting research position at the University of Twente in the Netherlands and participation in the Erasmus+ program in Romania. In addition to his academic contributions, he has played a vital role in fostering technological innovations as the former manager of the Growth Centre at Guilan Science and Technology Park. His work emphasizes bridging the gap between academia and industry, particularly in the development of applied research projects and commercialization of new technologies. Recognized for his research excellence, he has received multiple awards, including the Best Researcher title at Guilan Technical and Vocational University. With a strong background in electronics and computer engineering, Dr. Akoushideh continues to contribute to advancements in artificial intelligence, IoT, and digital systems, making him a distinguished researcher in his field.

Professional Profile

Education

Dr. Akoushideh has a strong academic foundation in electrical and electronics engineering. He earned his Ph.D. in Electrical Engineering with a specialization in Electronics from Shahid Beheshti University, where his research focused on developing noise-resistant feature extraction operators for texture classification. His doctoral work contributed significantly to the fields of image processing and pattern recognition. Prior to that, he completed his Master’s degree at Amirkabir University of Technology (Tehran Polytechnic), specializing in electronics. His master’s thesis revolved around designing a pacemaker system based on the detection of cardiac arrests, demonstrating his early interest in biomedical applications of electronics. Dr. Akoushideh obtained his Bachelor’s degree from the University of Guilan, where he specialized in electronics engineering. His undergraduate research involved the development of a computer-based microcontroller trainer, highlighting his inclination towards microcontroller-based system design. Throughout his academic journey, he has consistently focused on applying electronics engineering principles to real-world challenges, which is evident in his later research projects and technological innovations. His education, spanning three prestigious Iranian institutions, has provided him with the necessary expertise to excel in both theoretical and applied aspects of electronics, further enriching his contributions to academia, research, and industry.

Professional Experience

Dr. Akoushideh has had an extensive career in academia, research, and industry. He is currently an Assistant Professor at the Technical and Vocational University in Iran, where he teaches courses in image processing, computer architecture, microcontrollers, and digital systems. His role extends beyond teaching, as he actively supervises undergraduate and graduate research projects, guiding students in developing innovative solutions for industrial and technological challenges. He has also served as a visiting researcher at the University of Twente in the Netherlands, where he collaborated on biometrics and pattern recognition research. Additionally, he participated in the Erasmus+ program at Pitesti University in Romania, contributing to international discussions on vocational education and training. Dr. Akoushideh has held managerial roles, including serving as the Growth Centre Manager at Guilan Science and Technology Park, where he played a key role in supporting technology startups and commercializing academic research. His industry experience includes co-founding Rayaneh Gostar Moein Co., where he worked on network design, industrial automation, and electronic content production. His diverse professional background reflects his ability to integrate academic research with industrial applications, making significant contributions to both education and technology-driven initiatives.

Research Interests

Dr. Akoushideh’s research interests lie in the intersection of digital electronics, image processing, artificial intelligence, and microcontroller-based systems. His work primarily focuses on developing advanced image processing techniques for applications such as biometrics, video surveillance, and medical diagnostics. He has also contributed to research in pattern recognition, deep learning, and IoT-based automation systems. His interest in parallel processing has led him to explore hardware acceleration techniques for computationally intensive tasks, improving the efficiency of embedded systems. In addition to theoretical advancements, Dr. Akoushideh is deeply involved in applied research, particularly in developing smart electronic devices and automation systems for industrial and consumer applications. His projects include intelligent power management systems, real-time video analytics, and embedded system design for IoT applications. He is also keen on integrating artificial intelligence into embedded systems, exploring new methods for enhancing efficiency and performance in real-time processing environments. With a strong background in both academic and practical research, his work contributes to the advancement of smart technologies, automation, and digital signal processing, positioning him as a leading researcher in electronics and computer engineering.

Research Skills

Dr. Akoushideh possesses a diverse range of research skills spanning hardware and software domains. He has expertise in digital image processing, machine learning, and deep learning techniques, applying them to areas such as biometrics, video analysis, and industrial automation. His programming proficiency includes MATLAB, Python, C++, and hardware description languages like VHDL, allowing him to develop and implement complex algorithms for embedded systems. His hands-on experience with microcontrollers such as AVR, ARM, and PIC enables him to design and prototype advanced electronic devices. Additionally, he is skilled in PCB design using Altium Designer and FPGA-based system development using Xilinx ISE and Synopsys tools. His research capabilities extend to IoT and smart systems, where he has worked on projects involving sensor networks, remote monitoring, and intelligent control systems. Dr. Akoushideh is also experienced in conducting experimental research, statistical data analysis, and scientific writing, which are essential for publishing in high-impact journals. His interdisciplinary approach, combining hardware and software expertise, makes him highly proficient in designing, developing, and optimizing electronic and computational systems for various applications.

Awards and Honors

Dr. Akoushideh has been recognized multiple times for his contributions to research and technology. He was awarded the Best Researcher title at Guilan Technical and Vocational University in 2022 and previously in 2018 and 2019. In 2021, he received the first award at the Technical and Vocational University of Iran, a national-level recognition of his excellence in research and academia. He was also acknowledged by the Guilan Science and Technology Park for his contributions as an innovator and technologist, winning awards such as “Encouraging Thinkers, Technologists, and Innovators” in 2019. Additionally, he won a provincial award in the Young Idea Supporters category the same year. His entrepreneurial spirit was recognized in 2007 when he was named the Best Entrepreneur in Information Technology by the Ministry of Labor and Social Affairs. His academic achievements include ranking second in his graduating class in electronic engineering at Guilan University in 1997. These awards highlight his dedication to advancing research, education, and innovation, further solidifying his reputation as a leading researcher in his field.

Conclusion

Dr. Alireza Akoushideh is a distinguished researcher with extensive expertise in electronics engineering, particularly in image processing, embedded systems, and IoT applications. His academic journey, spanning Iran’s top universities, has provided him with a strong foundation in both theoretical and applied research. His professional experience as a university professor, visiting researcher, and technology leader has allowed him to make significant contributions to academia and industry. With numerous research projects, patents, and international collaborations, he has established himself as a key figure in his field. His research interests in artificial intelligence, parallel processing, and industrial automation align with current technological advancements, making his work highly relevant. His technical skills in programming, hardware design, and system optimization further enhance his ability to develop innovative solutions. Recognized with multiple awards for research excellence, teaching, and entrepreneurship, he has consistently demonstrated his commitment to knowledge creation and dissemination. Dr. Akoushideh’s career reflects a balance between academic research and practical applications, positioning him as a thought leader in digital electronics and embedded systems. His contributions continue to drive technological innovation, benefiting both academia and industry.

Publications Top Notes

  • Title: Motion-based vehicle speed measurement for intelligent transportation systems
    Authors: A. Tourani, A. Shahbahrami, A. Akoushideh, S. Khazaee, C.Y. Suen
    Year: 2019
    Citations: 33

  • Title: A robust vehicle detection approach based on faster R-CNN algorithm
    Authors: A. Tourani, S. Soroori, A. Shahbahrami, S. Khazaee, A. Akoushideh
    Year: 2019
    Citations: 25

  • Title: Facial expression recognition using a combination of enhanced local binary pattern and pyramid histogram of oriented gradients features extraction
    Authors: M. Sharifnejad, A. Shahbahrami, A. Akoushideh, R.Z. Hassanpour
    Year: 2020
    Citations: 19

  • Title: Iranis: A large-scale dataset of Iranian vehicles license plate characters
    Authors: A. Tourani, S. Soroori, A. Shahbahrami, A. Akoushideh
    Year: 2021
    Citations: 16

  • Title: Iranian license plate recognition using deep learning
    Authors: A.R. Rashtehroudi, A. Shahbahrami, A. Akoushideh
    Year: 2020
    Citations: 15

  • Title: High performance implementation of texture features extraction algorithms using FPGA architecture
    Authors: A.R. Akoushideh, A. Shahbahrami, B.M.N. Maybodi
    Year: 2014
    Citations: 13

  • Title: Copy-move forgery detection using convolutional neural network and K-mean clustering
    Authors: A. Pourkashani, A. Shahbahrami, A. Akoushideh
    Year: 2021
    Citations: 12

  • Title: Accelerating texture features extraction algorithms using FPGA architecture
    Authors: A.R. Akoushideh, A. Shahbahrami
    Year: 2010
    Citations: 12

  • Title: Parallel Implementation of a Video-based Vehicle Speed Measurement System for Municipal Roadways
    Authors: A.J. Afshany, A. Tourani, A. Shahbahrami, S. Khazaee, A. Akoushideh
    Year: 2019
    Citations: 10

  • Title: Challenges of Video-Based Vehicle Detection and Tracking in Intelligent Transportation Systems
    Authors: A. Tourani, A. Shahbahrami, A. Akoushideh
    Year: 2017
    Citations: 9

 

Qichuan Tian | Computer Science | Best Researcher Award

Prof. Dr. Qichuan Tian | Computer Science | Best Researcher Award

Prof. Dr. at  Beijing University of Civil Engineering and Architecture, China

Qichuan Tian, born in 1971, is a distinguished professor and technical expert specializing in artificial intelligence, pattern recognition, and computer vision. He holds a Ph.D. in Engineering from Northwestern Polytechnical University (2006) and currently serves as a professor and master’s supervisor at Beijing University of Civil Engineering and Architecture (BUCEA). As the Director of the Department of Artificial Intelligence at the School of Intelligent Science and Technology, he leads research in biometrics, human-computer interaction, and deep learning. He is a member of multiple prestigious organizations, including the National Information Technology Standardization Technical Committee and the Chinese Society of Biomedical Engineering. His career spans academia and industry, with significant contributions in developing national standards, publishing books, and mentoring graduate students. Tian has also played a key role in over 20 research projects funded by national and provincial foundations, solidifying his reputation as a thought leader in AI and computational sciences.

Professional Profile

Education

Qichuan Tian has an extensive academic background in engineering. He obtained his Bachelor of Engineering (1993) and Master of Engineering (1996) from Taiyuan University of Science and Technology. In 2006, he completed his Doctor of Engineering at Northwestern Polytechnical University, specializing in artificial intelligence and computer vision. His academic training laid a strong foundation for his later contributions to AI, biometrics, and deep learning. His studies focused on integrating computational intelligence into practical applications, a theme that continues to define his research and professional endeavors.

Professional Experience

Tian has a diverse career in academia and research. Since 2012, he has served as the Head of the Department of Artificial Intelligence at BUCEA, where he spearheads innovative AI programs. From 2009 to 2010, he was a Visiting Scholar at Auburn University, USA, gaining international exposure in computer science. Between 2006 and 2008, he conducted postdoctoral research at Tianjin University. Previously, he held various roles at Taiyuan University of Science and Technology (1993–2012), where he advanced from Assistant Professor to Associate Professor and later became the Chief Leader of Circuits and Systems. His leadership has been instrumental in shaping AI research and education in China.

Research Interests

Tian’s research interests focus on artificial intelligence, pattern recognition, image processing, and deep learning. He specializes in biometric recognition, computer vision, and human-computer natural interaction. His work extends to security authentication, big data analysis, and IoT-based embedded systems. Tian has published over 100 journal and conference papers, authored six books, and contributed significantly to national standards in AI applications. His interdisciplinary research bridges theoretical advancements with practical AI implementations, making substantial contributions to the field.

Research Skills

With expertise in artificial intelligence and computer vision, Tian possesses strong research skills in deep learning algorithms, biometric recognition systems, and real-time image processing. He has successfully led projects in autonomous driving, green building AI integration, and complex object detection. His experience includes handling large-scale datasets, implementing machine learning frameworks, and designing AI-driven applications. Additionally, he has obtained over 50 invention patents and software copyrights, showcasing his ability to translate theoretical research into impactful technological innovations.

Awards and Honors

Tian’s contributions to academia and AI research have earned him multiple accolades. In 2024, he was recognized among CNKI’s Highly Cited Scholars (Top 5). He received the First Prize for Teaching Achievements at BUCEA in 2021 and was honored for developing a National First-Class Blended Online and Offline Course in 2020. Additionally, he was awarded the Outstanding Master’s Thesis Advisor Award in 2012. His accolades highlight his commitment to education, research, and AI-driven innovations, reinforcing his influence in the field of intelligent science and technology.

Conclusion

Qichuan Tian is a prominent scholar and AI expert dedicated to advancing artificial intelligence and biometric research. His leadership in academia, combined with his extensive research portfolio, underscores his impact on technological advancements in pattern recognition, computer vision, and human-computer interaction. With a career spanning over two decades, Tian has played a pivotal role in shaping AI education, national standards, and industry collaborations. His legacy continues to influence emerging AI technologies and inspire the next generation of researchers in intelligent computing.

Publications Top Notes

  • Title: An improved framework for breast ultrasound image segmentation with multiple branches depth perception and layer compression residual module

    • Authors: K. Cui, Qichuan Tian, Haoji Wang, Chuan Ma
    • Year: 2025
  • Title: Mobile Robot Path Planning Algorithm Based on NSGA-II

    • Authors: Sitong Liu, Qichuan Tian, Chaolin Tang
    • Year: 2024
    • Citations: 1
  • Title: OcularSeg: Accurate and Efficient Multi-Modal Ocular Segmentation in Non-Constrained Scenarios

    • Authors: Yixin Zhang, Caiyong Wang, Haiqing Li, Qichuan Tian, Guangzhe Zhao
    • Year: 2024
  • Title: Convolutional Neural Network–Bidirectional Gated Recurrent Unit Facial Expression Recognition Method Fused with Attention Mechanism

    • Authors: Chaolin Tang, Dong Zhang, Qichuan Tian
    • Year: 2023
    • Citations: 4