Jinyang Guo | Artificial Intelligence | Best Researcher Award

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 πŸ–₯️. A recipient of China’s prestigious National Youth Talent Program πŸ‡¨πŸ‡³, he has published 40+ papers in top-tier venues like ICML and CVPR πŸ“š. . His research excellence is complemented by patents, IEEE awards πŸ…, and active roles in global AI conferences 🌐.

Profile

Scopus Profile

Google Scholar Profile

πŸŽ“ 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.

πŸ’Ό 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.

πŸ”¬ 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.

πŸ… 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

Ghulam Mohi-ud-din | Computer Science | Excellence in Innovation Award

Prof. Ghulam Mohi-ud-din | Computer Science | Excellence in Innovation Award

Prof. Ghulam Mohi-ud-din, Nanchang University, China.

Prof. Ghulam Mohi-ud-din is an experienced Product Coordinator 🧠 with 7+ years of expertise in software engineering, research, and IT strategy πŸ’‘. He excels in risk mitigation, quality assurance, and infrastructure development πŸ› οΈ. Currently pursuing a PhD in Software Engineering, Ghulam has also worked with top firms like IBM and Oracle 🌐. A certified PMP, CCIE, and OCP πŸŽ“, he is passionate about driving innovation, leading cross-functional teams, and delivering impactful tech solutions πŸš€.

πŸŽ“ Early Academic Pursuits

Ghulam Mohi-ud-din began his academic journey with a Bachelor’s degree in Software Engineering from the University of Engineering and Technology, Lahore, graduating with an impressive GPA of 3.6. He further honed his technical skills through a Master of Science in Computer Systems Networking and Telecommunications at the University of Florida, maintaining a strong GPA of 3.85. Currently pursuing a PhD in Software Engineering at Northwestern Polytechnical University, Xi’an, Ghulam’s commitment to lifelong learning sets a solid foundation for his professional achievements. πŸ“˜πŸ’»

πŸ’Ό Professional Endeavors

With over 17 years of extensive experience, Ghulam has held pivotal roles across multiple continents. His current position as a Product Coordinator at ResearchEX Ltd, London, involves project leadership, strategic implementation, and cross-functional team management. Past roles include Project Consultant at IBM, Visiting Faculty at LUMS, Assistant DBA at Oracle, and Network Administrator at OGDCL, each enriching his skill set in IT infrastructure, data management, teaching, and network security. πŸŒπŸ“Š

πŸ”¬ Contributions and Research Focus On Computer Science Β 

Ghulam’s research spans across software engineering, machine learning, and infrastructure development. His time as a faculty member at LUMS saw him guiding students in computer science research, securing funding, and authoring significant research publications. His doctoral research aligns with modern software methodologies, ensuring real-world applicability and innovation. πŸ§ πŸ“ˆ

🌍 Impact and Influence

From enhancing cloud infrastructure at Oracle to leading agile methodologies in the UK tech sector, Ghulam’s influence extends to policy development, training programs for thousands of employees, and optimizing technical workflows that reduce costs and increase operational performance. His leadership style promotes team unity, performance recognition, and long-term organizational success. πŸ’‘πŸ€

πŸ† Awards and Honors

Ghulam holds a rich collection of certifications from globally recognized institutions including Cisco (CCNA, CCNP, CCIE), Oracle (OCA, OCP, OCE), Red Hat (RHCE, RHCT), and Project Management Professional (PMP). These validate his authority in system architecture, project management, and enterprise-level IT strategy. πŸŽ–οΈπŸ“œ

πŸš€ Legacy and Future Contributions

Poised at the intersection of academia and industry, Ghulam’s future goals involve leading transformational IT initiatives, mentoring the next generation of technologists, and contributing groundbreaking research in AI and software systems. His vision includes bridging academic theory with business innovation, leaving a legacy of empowered teams and streamlined technology infrastructures. πŸŒπŸš€

πŸ“šPublications Top Notes

  • Click-level supervision for online action detection extended from SCOAD

    • Journal: Future Generation Computer Systems

    • Year: 2025

  • Deciphering TON-IoT threats: Meta-heuristic and deep learning for attack classification

    • Journal: Expert Systems with Applications

    • Year: 2025

  • A wireless sensor network for coal mine safety powered by modified localization algorithm

    • Authors: H.Z. ul Hassan, A. Wang, G. Mohi-ud-din

    • Journal: Heliyon

    • Year: 2025

  • ML-Driven Audit Risk Assessment with Differential Privacy

    • Authors: Dr. Ghulam Mohi-ud-din

    • Conference: 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI)

    • Year: 2024

  • Unmanned aerial vehicle intrusion detection: Deep-meta-heuristic system

    • Authors: Shangting Miao, Quan Pan, Dongxiao Zheng, Ghulam Mohi-ud-din

    • Journal: Vehicular Communications

    • Year: 20

  • Real-time portrait image retouching extended from DualBLN

    • Journal: Expert Systems with Applications

    • Year: 2024

  • Intrusion Detection Using Hybrid Enhanced CSA-PSO and Multivariate WLS Random-Forest Technique

    • Journal: IEEE Transactions on Network and Service Management
    • Year: 2023​

  • Intrusion Detection using hybridized Meta-heuristic techniques with Weighted XGBoost Classifier

    • Authors: Ghulam Mohi-ud-din, Zhijun Lin, Jiangbin Zheng, Junsheng Wu, Weigang Li, Yifan Fang, Sifei Wang, Jiajun Chen, Xinyu Zeng

    • Journal: Expert Systems with Applications

    • Year: 2023

  • Intrusion detection in wireless sensor network using enhanced empirical based component analysis

    • Authors: Liu Zhiqiang, Ghulam Mohi-ud-din, Jiangbin Zheng, Sifei Wang, Asim Muhammad

    • Journal: Future Generation Computer Systems

    • Year: 2022