Zhigang Chen | Computer Science | Best Researcher Award

Mr. Zhigang Chen | Computer Science | Best Researcher Award

Central South University | China

Author Profile

Scopus

🎓 Early Academic Pursuits

Mr. Zhigang Chen embarked on his academic path in the field of Computer Science and Technology, eventually specializing in Computer Engineering. His formative education and early career reflect a strong focus on engineering fundamentals, technical proficiency, and emerging technologies.

🏢 Professional Endeavors

Mr. Chen currently serves as a Professor at the School of Computer Science, Central South University (CSU) in Changsha, Hunan Province, China. While he does not hold an administrative role, his professional impact is rooted in his extensive academic and instructional contributions. His core subject area lies in Computer Science and Engineering, with a specialized focus on the Internet of Things (IoT) and Distributed Systems.

🔍 Contributions and Research Focus

Mr. Chen’s research has significantly advanced fields such as IoT infrastructure, networked computing, and distributed teaching platforms. His academic influence also extends into curriculum development and instructional strategy, particularly in integrating practical and forward-looking technologies into the computer science education framework. His work fosters a solid technical foundation among students while equipping them with knowledge of future-facing innovations.

🏆 Accolades and Recognition

Mr. Chen has received national-level recognition for his contributions to software engineering education and technological instruction. His efforts have been pivotal in elevating the quality of teaching and research output at CSU, and he has played a role in formulating standards for curriculum structure and teaching methodologies in computer-related disciplines. He has been nominated to serve as Deputy Director of the Teaching Steering Committee for Software Engineering, a role that acknowledges both his leadership and subject matter expertise.

🌍 Impact and Influence

By actively contributing to the growth of IoT and distributed computing studies in China, Mr. Chen has helped shape a generation of computer science professionals. His work bridges engineering theory and applied innovation, with an impact visible in both academic circles and industrial collaboration. His guidance in curriculum reform and digital education platforms has influenced regional and national approaches to computer science education.

🌟 Legacy and Future Contributions

Mr. Zhigang Chen’s career is a testament to long-term dedication to educational excellence, technical innovation, and mentorship in engineering disciplines. As a thought leader in software engineering and emerging network technologies, he is poised to continue influencing the development of smart educational systems and integrated IoT frameworks. His future contributions will likely emphasize interdisciplinary learning environments, preparing students for the rapidly evolving technological landscape, and continuing to shape national education policy in computing.

Publications


📄SQID: A Deep Learning and Network Design Synergy for Next-Generation IoT Resource Allocation Management
Authors: A.M. Ibrahim, Ali M.A.; Z. Chen, Zhigang; Y. Wang, Yijie; H.A. Eljailany, Hala A.
Journal: Computer Communications
Year: 2025


📄 UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors
Authors: Y. Xu, Yi; Z. Chen, Zhigang; M. Zhao, Ming; J. Liu, Jiaqi; N. Kato, Nei
Journal: IEEE Open Journal of the Computer Society
Year: 2025


📄Parallel Support Vector Machine Algorithm Based on Relative Entropy and Cosine Similarity
Authors: Y. Mao, Yinmin; B. Quo, Binbin; J. Yi, Jianbing; Z. Chen, Zhigang
Journal: Computer Integrated Manufacturing Systems (CIMS)
Year: 2024


📄 Advancing 6G-IoT Networks: Willow Catkin Packet Transmission Scheduling with AI and Bayesian Game-Theoretic Approach-Based Resource Allocation
Authors: A.M. Ibrahim, Ali M.A.; Z. Chen, Zhigang; H.A. Eljailany, Hala A.; K.A. Abouda, Khalid A.; W.M. Idress, Wail M.
Journal: Internet of Things (Netherlands)
Year: 2024


Bashir Olaniy Sadiq | Engineering | Best Researcher Award

Dr. Bashir Olaniy Sadiq | Engineering | Best Researcher Award

Kampala International University | Uganda

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Bashir Olaniyi Sadiq embarked on his academic journey with a Bachelor's degree in Electrical Engineering from Ahmadu Bello University Zaria in 2011. He continued his academic pursuits with a Master's degree in Computer Engineering from the same institution, focusing on the development of an Improved Edge Detection Algorithm for Noisy Colored Images using Particle Swarm Optimization. Dr. Sadiq pursued his Ph.D. in Computer Engineering at Ahmadu Bello University Zaria, where his research centered on the Development of a Routing Protocol and Link Connectivity Algorithm for Light Fidelity-Based Indoor Flying Adhoc Network.

Professional Endeavors

Dr. Sadiq's professional journey showcases a progression through various academic and administrative roles. He began as an Assistant Lecturer at Ahmadu Bello University Zaria in 2013, gradually ascending to higher positions. Over the years, he served as Lecturer II, Lecturer I, and Senior Lecturer at the same institution, where he engaged in research, teaching, and administrative duties within the Department of Electrical and Computer Engineering. Subsequently, he assumed the role of Senior Lecturer at Kampala International University, Uganda, where he also serves as the Director of ICT.

Contributions and Research Focus

Dr. Sadiq's research focus spans Computer Communications, Image Processing, Adhoc Networks, and Computer Engineering Applications. He has made significant contributions to the development of an improved communication link for FANETs using Light Fidelity and various image processing algorithms. His research endeavors have led to the development of innovative solutions in Smart Agriculture, IoT, and Applied Machine Learning.

Accolades and Recognition

Dr. Sadiq's dedication to excellence has been recognized through several prestigious awards and scholarships, including the Tertiary Education Trust Fund (TETFUND) IBR grant, the Best Huawei ICT Instructor Award, and the Petroleum Development Trust Fund (PTDF) Ph.D. scholarship. These accolades underscore his commitment to advancing both research and teaching in the field of Computer Engineering.

Impact and Influence

Dr. Sadiq's influence extends beyond his research contributions to his mentorship and leadership qualities. He has mentored numerous undergraduate and postgraduate students, fostering their research skills and academic growth. As an academic leader, he has overseen ICT directorates, supervised research projects, and implemented innovative teaching methodologies.

Legacy and Future Contributions

Dr. Sadiq's legacy is characterized by his dedication to academic excellence, research innovation, and mentorship. His future contributions are poised to further advance the fields of Computer Engineering and Information and Communication Technology (ICT). Through his ongoing research endeavors, mentorship initiatives, and administrative roles, he continues to inspire the next generation of scholars and researchers in the domain of Computer Engineering.

 

Notable Publications

High-tech herding: Exploring the use of IoT and UAV networks for improved health surveillance in dairy farm system 2024

Performance Analysis of Various Image Feature Extractor Filters for Pothole Anomaly Classification 2024

Review of Error Correction in 2D Shingled Magnetic Detection 2023

Energy-aware message distribution algorithm for enhance FANET pipeline surveillance reliability 2023 

SIFT-CNN Pipeline in Livestock Management: A Drone Image Stitching Algorithm 2023 (2)

 

 

 

 

Jingjing Cao | Computer Science | Best Researcher Award

Dr. Jingjing Cao | Computer Science | Best Researcher Award

School of Transportation and Logistics Engineering | China

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Jingjing Cao's academic journey commenced with a Bachelor of Engineering in Information and Computing Science from Dalian Maritime University. Subsequently, she pursued a Master of Science in Applied Mathematics before earning her Ph.D. from the Department of Computer Science at City University of Hong Kong.

Professional Endeavors

Dr. Cao's professional journey has been marked by significant contributions. She served as a Research Associate at Dalian Maritime University and later assumed roles as Assistant Professor and now Tenure Track Associate Professor at Wuhan University of Technology.

Contributions and Research Focus

With a focus on Machine Learning and its applications in transportation and logistics, Dr. Cao has made remarkable contributions. Her research spans various domains, including ensemble learning, deep learning, and optimization algorithms, as evidenced by her prolific publication record in reputable journals and conferences.

Accolades and Recognition

Dr. Cao's impactful research has garnered widespread recognition, exemplified by her receipt of the prestigious Best Researcher Award. Her publications in renowned journals and conferences underscore her standing as a leading figure in the field of Computer Science and Machine Learning.

Impact and Influence

Dr. Cao's work has left a lasting impact on the academic community and industry alike. Her research has not only advanced the theoretical understanding of Machine Learning but has also found practical applications in domains such as transportation, logistics, and industrial informatics.

Legacy and Future Contributions

As Dr. Cao continues her academic journey, her legacy is defined by a commitment to excellence in research and education. With ongoing projects and professional services, she remains dedicated to shaping the future of Computer Science and Machine Learning, leaving an indelible mark on the field.

Notable Publication

FE-Net: Feature enhancement segmentation network 2024

Optimization of energy-efficient open shop scheduling with an adaptive multi-objective differential evolution algorithm 2022 (24)

A two-stage model for forecasting consumers’ intention to purchase with e-coupons 2021 (15)

RtDS: real-time distributed strategy for multi-period task offloading in vehicular edge computing environment 2021 (14)

Adaptive sliding window based activity recognition for assisted livings 2020 (62)