Ziyang Jiao | Computer Science | Best Researcher Award

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Assist. Prof. Dr. Ziyang Jiao | Computer Science | Best Researcher Award

Huaibei Normal University | China

Dr. Ziyang Jiao is an Assistant Professor in the Department of Computer Science and Technology at Huaibei Normal University. He earned his Ph.D. in Computer & Information Science & Engineering from Syracuse University, USA. His research centers on file and storage systems, solid-state drives (SSDs), operating systems, and sustainable computing, contributing significantly to the advancement of efficient and eco-friendly data management technologies. Dr. Jiao has completed five major research projects and collaborated with leading institutions such as Syracuse University, Florida International University, Samsung Electronics, and Dankook University. His scholarly impact includes 28 citations, an h-index of 3, and 13 indexed research documents as per Scopus. He has published one peer-reviewed journal article and holds two patents under process. His pioneering work introduced the concept of asymmetric and heterogeneous RAID (paRAID) and explored capacity-variant systems for dynamic storage optimization. Recognized for his excellence, Dr. Jiao received the ACM Best Paper Award, the Best Presented Research Award, and the All-University Doctoral Award. A member of USENIX, ACM, IEEE, and ASEE, he continues to shape next-generation green computing and sustainable storage architectures.

Profile: Scopus 

Featured Publications 

Jiao, Z., & Kim, B. S. (2022). Asymmetric RAID: Rethinking RAID for SSD heterogeneity. In Proceedings of the ACM Symposium on Storage Systems

Jinyang Guo | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Jinyang Guo | Artificial Intelligence | Best Researcher Award

Assist. Prof. Dr. Jinyang Guo, Beihang University, China.

Dr. Jinyang Guo is an Assistant Professor at Beihang University, China, specializing in efficient AI computing 🖥️. A recipient of China’s prestigious National Youth Talent Program 🇨🇳, he has published 40+ papers in top-tier venues like ICML and CVPR 📚. . His research excellence is complemented by patents, IEEE awards 🏅, and active roles in global AI conferences 🌐.

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Scopus Profile

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🎓 Early Academic Pursuits

Dr. Jinyang Guo began his academic journey in Australia, earning a Bachelor of Engineering (Honors) in Electrical Engineering from The University of New South Wales with First Class Honours and placement on the Dean’s Award List (top 5%) from 2014 to 2017. He pursued a Ph.D. in Electrical and Information Engineering at The University of Sydney, focusing on efficient and scalable machine learning, where he was supported by prestigious scholarships including the USydIS and ARC-backed fellowships.

💼 Professional Endeavors

Currently serving as an Assistant Professor at the School of Artificial Intelligence, Beihang University, China, Dr. Guo specializes in efficient AI computing. He has emerged as a lead researcher in several national and industrial projects, overseeing more than 10 competitive grants and spearheading initiatives in AI deployment for UAVs, model compression, and human-machine hybrid systems. He also plays active roles in international academic circles through workshops, guest editorships, and conference organizations.

🔬 Contributions and Research Focus On Artificial Intelligence

Dr. Guo’s research focuses on model compression, AI efficiency, sparsity, and scalable learning, addressing real-world challenges in deploying AI on edge and embedded systems. His pioneering work includes multidimensional pruning frameworks, 3D action recognition, and language model compression, bridging fundamental AI theory with impactful applications. His contributions also span human-machine alignment, video diffusion, and efficient large language models.

🌍 Impact and Influence

With over 40 high-impact publications in IEEE Transactions and elite venues such as ICML, CVPR, AAAI, and NeurIPS, Dr. Guo has gained global recognition in AI and machine learning. His research has influenced both academic and industrial practices, contributing significantly to robust model design and resource-constrained AI deployment. His awards include the ICCV Doctoral Consortium Award and 2nd Place in the IEEE Autonomous UAV Challenge 2023, affirming his standing as a rising leader in the field.

🧠 Research Skills

Dr. Guo possesses robust skills in model pruning, quantization, and neural network optimization. He is adept at developing scalable solutions for real-world AI applications, such as UAVs and embedded systems. His expertise also spans human-machine alignment, point cloud processing, and transformer-based 3D object detection.

🏅 Awards and Honors

He is a recipient of the ICCV Doctoral Consortium Award, 2nd Place in the 2023 IEEE Autonomous UAV Chase Challenge, and multiple prestigious scholarships, including the University of Sydney International Scholarship, Postgraduate Research Supplementary Scholarship, and Engineering and IT Research Scholarship, amounting to over $147,000 USD in academic suppo