Prof. Shih-Yang Lin | Edge Intelligence | Best Researcher Award

Prof. Shih-Yang Lin | Edge Intelligence | Best Researcher Award

Weifang University of Science and Technology | China

Author Profile

ORCID

Summary

Shih-Yang Lin is a Taiwan-born academic and researcher with a strong foundation in computer science, information management, and engineering. his career spans academia, research, and industry, with key roles as professor, associate professor, postdoctoral researcher, and deputy manager in technology enterprises. his expertise covers computer networks, iot systems, wireless communications, and intelligent control, with notable intersections in power electronics applications. through his scholarly publications, journal reviewing, and curriculum development, he has influenced both technological innovation and academic growth in his fields of interest.

Early academic pursuits

Shih-Yang Lin began his academic journey in Taiwan, earning his B.s. in information management from Toko university. he advanced his expertise with an m.s. from the department of information management, nanhua university in july 2006. his commitment to deeper technical mastery led him to complete a ph.d. in computer science and information engineering at national cheng kung university in december 2013. during these formative years, Edge Intelligence he developed a foundation in computing systems, networks, and power electronics applications in digital environments.

Professional endeavors

Dr. Lin’s career reflects a balance between academia and industry. after completing his doctoral studies, he served as a postdoctoral researcher at halmstad university in sweden (2014–2015), focusing on advanced computing and communication technologies. he transitioned to the private sector as deputy manager at trans-iot technology company limited in taipei, taiwan (2015–2018), where he worked on integrating iot systems with Edge Intelligence energy-efficient solutions, including those relevant to power electronics. later, he joined shandong university of technology as an associate professor (2018–2023) and is currently a professor at weifang university of science and technology, china, since august 2023.

Contributions and research focus

Dr. Lin has served as a paper reviewer for leading journals and conferences such as ieee access, ieee communications letters, and ad hoc networks. his research interests span computer networks, wireless communications, iot, and intelligent systems, Edge Intelligence with intersections in areas like smart grids and embedded control, where power electronics plays a role in optimizing performance. his work bridges theory and real-world applications, ensuring academic contributions align with technological demands.

Impact and influence

Through his dual role as educator and researcher, Dr. Lin has shaped the academic and professional paths of numerous students. his industrial experience has influenced the development of practical curricula, and his research contributions have been cited by peers, particularly in the domains of Edge Intelligence network optimization and iot-based energy systems. his participation as a reviewer for high-impact journals ensures the integrity and advancement of knowledge in these areas.

Academic cites

Dr. Lin’s scholarly work has gained citations across multiple high-ranking journals, reflecting its relevance to both academia and industry. while his publications cover a range of topics, many highlight the integration of computing intelligence with sustainable infrastructure, Edge Intelligence drawing interest from researchers in emerging markets and advanced technology sectors alike.

Legacy and future contributions

Dr. Lin’s legacy is being built on a foundation of interdisciplinary research, industry collaboration, and mentorship. in the coming years, he is expected to contribute further to the convergence of iot, intelligent control systems, and energy-efficient solutions, Edge Intelligence with particular attention to power electronics innovations that drive smart cities and industrial automation. his ongoing dedication promises to leave a lasting mark on both the academic and engineering communities.

Publications

Title: Multihop cost awareness task migration with networking load balance technology for vehicular edge computing
Authors: Shih-Yang Lin, Jie-Qin Wang, Shi-Ming Peng, Miao-Hui Yang, Shuo Jia
Journal: Scientific Reports
Publication Date: August 1, 2025

Title: An Adaptive Hybrid Automatic Repeat Request (A-HARQ) Scheme Based on Reinforcement Learning
Authors: Shih-Yang Lin, Miao-Hui Yang, Shuo Jia
Journal: Electronics
Publication Date: October 3, 2023

Title: Multi-Access Edge Computing-Based Vehicle-Vehicle-RSU Data Offloading Over the Multi-RSU-Overlapped Environment
Authors: Shih-Yang Lin, Chung-Ming Huang, Tzu-Yu Wu
Journal: IEEE Open Journal of Intelligent Transportation Systems
Publication Date: 2022

Title: The k-hop-limited V2V2I VANET data offloading using the Mobile Edge Computing (MEC) mechanism
Authors: Chung-Ming Huang, Shih-Yang Lin, Zhong-You Wu
Journal: Vehicular Communications
Publication Date: December 2020

Title: A split reliable transport protocol over the vehicular ad hoc network communication environment
Authors: Chung‐Ming Huang, Shih‐Yang Lin, Ching‐Yuan Lin
Journal: Wireless Communications and Mobile Computing
Publication Date: December 25, 2015

Conclusion

Dr. Lin’s journey demonstrates a rare blend of academic rigor and industry insight. his work continues to bridge the gap between theoretical advancements and real-world implementation, particularly in integrating iot, intelligent systems, and power electronics for sustainable and efficient solutions. as he moves forward in his professorial role, his research, mentorship, and collaborations are set to expand his influence, ensuring a lasting contribution to global technological progress.