Young Scientist Award
Qiang He
Northeastern University, China
Qiang He is a tenured professor and doctoral supervisor at Northeastern University whose academic activities focus on cloud computing, computing power networks, distributed systems, and machine learning. His scholarly profile includes extensive editorial responsibilities, peer-review service for internationally recognized journals, and sustained contributions to high-impact research venues. With 191 indexed publications, 2,807 citations, and an h-index of 30, his research demonstrates continuous influence across service computing, edge computing, optimization, and intelligent networking. These accomplishments provide a substantial foundation for consideration within the Young Scientist Award category.[1]
Abstract
This article summarizes the academic profile of Qiang He, highlighting research achievements in cloud computing, service computing, machine learning, mobile edge computing, and distributed intelligent systems. His publication record demonstrates consistent participation in internationally recognized journals and conferences while addressing quality of service prediction, decentralized edge computing, optimization algorithms, and microservice management. These contributions have strengthened modern computing infrastructures and provide evidence of sustained scholarly productivity suitable for academic recognition.[2]
Keywords
Cloud Computing, Service Computing, Machine Learning, Edge Computing, QoS Prediction, Computing Power Networks, Evolutionary Algorithms, Microservices, Distributed Systems, Artificial Intelligence.
Introduction
Qiang He has established an interdisciplinary research program integrating theoretical computer science with practical cloud-based services. His work combines intelligent optimization, network resource allocation, and scalable service architectures to improve the reliability and efficiency of distributed computing platforms. Beyond research, he contributes to the academic community through editorial service for numerous journals and peer review for leading IEEE and ACM publications, reflecting professional recognition within the international research community.[3]
Research Profile
- Tenured Professor and Doctoral Supervisor at Northeastern University.
- Research focuses on cloud computing, machine learning, service computing and computing power networks.
- Editorial board member for sixteen academic journals.
- Recipient of the Liaoning Provincial Youth Science Fund.
- Author of numerous journal papers, conference publications and invention patents.
Research Contributions
His recent investigations emphasize adaptive feature learning for quality-of-service prediction, communication-efficient decentralized edge data deduplication, influence maximization through evolutionary computation, and game-theoretic request dispatching for mobile edge computing. These studies combine advanced artificial intelligence with distributed infrastructure optimization to improve scalability, reliability, and computational efficiency across modern cloud environments.[4]
Publications
- An Adaptive Feature Interaction Learning Model for QoS Prediction With Multi-Source Context. IEEE Transactions on Services Computing (2026).
- Popularity-Aware Communication-Efficient Decentralized Edge Data Deduplication. IEEE Transactions on Parallel and Distributed Systems (2026).
- Enhancing Evolutionary Algorithms with Solution Prediction for Influence Maximization. Applied Soft Computing (2026).
- A Game-Theoretic Approach for Microservice Request Dispatching in Mobile Edge Computing Systems. IEEE Transactions on Services Computing (2025).
Research Impact
Bibliometric indicators demonstrate a productive and influential academic career. His publications have accumulated more than 2,800 citations while maintaining an h-index of 30. Multiple highly cited papers, active participation in premier conferences, and more than thirty national invention patents collectively illustrate measurable research influence and sustained innovation within computer science.[5]
Award Suitability
The Young Scientist Award recognizes emerging researchers demonstrating significant scholarly achievement, innovation, and professional service. Qiang He’s publication record, editorial engagement, interdisciplinary research, and sustained impact in cloud and service computing align well with these objectives. His combination of scientific productivity and practical technological contributions represents a strong academic profile for international recognition.[6]
Conclusion
Qiang He has developed a distinguished research portfolio spanning cloud services, distributed intelligence, optimization, and machine learning. His combination of impactful publications, editorial leadership, patent activity, and international scholarly engagement demonstrates a sustained commitment to advancing computer science research and supports his recognition within the Computer Scientists Awards.
External Links
References
- Elsevier. (n.d.). Scopus Author Details: Qiang He, Author ID 57193014262.
https://www.scopus.com/authid/detail.uri?authorId=57193014262
- He, Q. (2026). An Adaptive Feature Interaction Learning Model for QoS Prediction With Multi-Source Context. IEEE Transactions on Services Computing.
https://doi.org/10.1109/TSC.2026.3655980
- He, Q. (2026). Popularity-Aware Communication-Efficient Decentralized Edge Data Deduplication. IEEE TPDS.
https://doi.org/10.1109/TPDS.2025.3638945
- He, Q. (2026). Enhancing Evolutionary Algorithms with Solution Prediction for Influence Maximization. Applied Soft Computing.
https://doi.org/10.1016/J.ASOC.2025.114399
- He, Q. (2025). A Game-Theoretic Approach for Microservice Request Dispatching in Mobile Edge Computing Systems. IEEE Transactions on Services Computing.
https://doi.org/10.1109/TSC.2025.3602905
- Computer Scientists Awards. Young Scientist Award Recognition Program.
https://computerscientists.net/