Mr. Junde Lu | Artificial Neural Networks | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Junde Lu | Artificial Neural Networks | Best Researcher Award

Beijing Information Science and Technology University | China

Mr. Junde Lu is a promising early-career researcher specializing in optical communication systems and signal processing, with a focus on developing efficient equalization algorithms for high-speed data transmission. His research interests center around enhancing the performance and reliability of optical communication links through advanced digital signal processing and AI-empowered equalization methods. He has contributed to the design of low-complexity receiver-side equalizers and has explored the potential of machine learning in nonlinear compensation for coherent optical systems. His scholarly contributions have been published in reputable international journals and conferences, particularly within the fields of photonics and communication technology. Junde Lu has authored and co-authored several scientific documents, with a citation record demonstrating growing recognition in his domain. According to Scopus and Google Scholar metrics, his academic record includes 13 research documents, 1 citation, and an h-index of 1, highlighting his emerging influence in optical communication research. His collaborative works with distinguished researchers underscore his commitment to advancing next-generation high-speed optical transmission technologies.

Profile

Scopus

Featured Publications

Lu, J., Sun, Y., Qin, J., & Lu, G.-W. (2025). A low-complexity receiver-side lookup table equalization method for high-speed short-reach IM/DD transmission systems. Photonics.

Chen, L., Sun, Y., Shi, J., Lu, J., & Qin, J. (2025). Exploring 400 Gbps/λ and beyond with AI-accelerated silicon photonic slow-light technology. Photonics.

Qiang Fan | Artificial Neural Networks | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Qiang Fan | Artificial Neural Networks | Best Researcher Award

engineer , Huazhong Institute of Electro-Optics, China

🧑‍🔬 Dr. Qiang Fan is a senior engineer at the Huazhong Institute of Electro-Optics. He earned his Ph.D. from Wuhan University in 2017. Specializing in algorithm research, Dr. Fan focuses on image processing, infrared small target detection and recognition, target tracking, and deploying these algorithms on embedded platforms. His innovative work has led to significant advancements in automatic detection, recognition, and consistent tracking of small targets amidst complex backgrounds.

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Scopus

 

Education

🎓 Dr. Qiang Fan completed his Ph.D. at Wuhan University in 2017. His academic journey has been characterized by a strong focus on algorithm research in image processing and related fields.

Experience

🔬 Dr. Qiang Fan has extensive experience as a senior engineer at the Huazhong Institute of Electro-Optics. His work primarily involves the development and deployment of image processing algorithms, particularly for infrared small target detection, recognition, and tracking. He has successfully applied for 14 invention patents, with 5 already authorized, demonstrating his innovative contributions to the field.

Research Interests

🧠 Dr. Qiang Fan’s research interests include image processing, infrared small target detection and recognition, target tracking, and the deployment of image processing algorithms on embedded platforms. His work focuses on enhancing target detection and robust tracking in complex backgrounds, addressing challenges such as occlusion and environmental interference.

Awards

🏆 Dr. Qiang Fan has applied for 14 invention patents, with 5 authorized, showcasing his contributions to technological advancements. His published research in prestigious SCI journals highlights his impact and recognition in the field of image processing and target detection.

Publications

“Automatic Detection and Recognition of Infrared Small Targets in Sea-Sky Backgrounds”

“Robust Tracking of Small Targets in Complex Backgrounds”

“Deployment of Image Processing Algorithms on Embedded Platforms”