Dr. Hai Xue | Edge computing | Best Researcher Award

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Dr. Hai Xue | Edge computing | Best Researcher Award

University of Shanghai for Science and Technology,

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Google Scholar

🎓 Early Academic Pursuits

Dr. Hai Xue embarked on his academic journey in the field of computer engineering with a Bachelor of Science in Information and Communication Engineering from Konkuk University, Seoul, South Korea, in 2014. Driven by an insatiable curiosity for software and computing, he pursued his Master’s degree at Hanyang University, Seoul, where he specialized in Computer and Software under the guidance of Prof. Inwhee Joe. This period was crucial in shaping his foundational knowledge and research skills, which later fueled his contributions to edge computing and network science. Dr. Xue culminated his formal education with a Ph.D. in Computer Engineering from Sungkyunkwan University, Suwon, in 2020, where he worked under the mentorship of Prof. Hee Yong Youn. His doctoral research laid the groundwork for his future breakthroughs in dynamic resource allocation and federated learning.

🌟 Professional Endeavors

Dr. Xue’s professional career is marked by a series of prestigious positions that reflect his growing influence in the field of computer engineering. After earning his Ph.D., he served as a Research Professor at Korea University, Seoul, from September 2020 to September 2021. During this tenure, he collaborated with renowned researcher Prof. Sangheon Pack, contributing significantly to the domains of edge computing and network optimization. In September 2021, he transitioned to his current role as an Assistant Professor at the University of Shanghai for Science and Technology (USST), Shanghai, China. Here, he continues to engage in high-impact research, mentoring young scholars, and advancing cutting-edge technological solutions.

🔮 Contributions and Research Focus

Dr. Xue’s research interests are deeply rooted in dynamic resource allocation, federated learning, and edge computing. His contributions have led to substantial advancements in these areas, including:

  • Dynamic Pricing in Edge Offloading: His recent work on dynamic pricing-based near-optimal resource allocation is set to redefine how computational resources are distributed efficiently across networks.
  • Energy Harvesting in Edge Computing: His paper on dynamic differential pricing-based edge offloading systems with energy harvesting devices has been accepted by IEEE Transactions on Network Science and Engineering, highlighting his expertise in sustainable and energy-efficient computing.
  • Federated Learning Incentive Mechanisms: His study on Yardstick-Stackelberg pricing-based incentive mechanisms for federated learning in edge computing, accepted by Computer Networks, sheds light on optimizing collaborative learning models.
  • Neural Network Optimization: His work on dynamic pseudo-mean mixed-precision quantization (DPQ) for pruned neural networks, published in Machine Learning, underscores his ability to push the boundaries of artificial intelligence efficiency.

🏆 Accolades and Recognition

Dr. Xue’s contributions have not gone unnoticed. His publications in high-impact journals such as IEEE Transactions, Computer Networks, and Machine Learning underscore his academic excellence. His research has been classified under prestigious rankings, including CAS Q2 and JCR Q1, affirming its significance within the scientific community. These accolades reflect his unwavering commitment to innovation and the quality of his scholarly output.

🌐 Impact and Influence

Dr. Xue’s research has far-reaching implications in both academia and industry. His work in dynamic pricing mechanisms is influencing how network providers optimize their resource allocation, while his advancements in federated learning are paving the way for more secure and efficient decentralized AI applications. His insights into energy harvesting in edge computing hold promise for sustainable technological solutions, a pressing need in today’s energy-conscious world.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Xue is poised to make even more significant contributions to computer engineering. His ongoing projects aim to refine the synergy between AI and edge computing, ensuring smarter, more adaptive network solutions. As an educator, he remains dedicated to nurturing the next generation of computing professionals, equipping them with the knowledge and skills necessary to tackle future challenges in technology.

📝Notable Publications

Dynamic load balancing of software-defined networking based on genetic-ant colony optimization

Author(s): H. Xue, K.T. Kim, H.Y. Youn
Journal: Sensors
Year: 2019

 Detection of falls with smartphone using machine learning technique

Author(s): X. Chen, H. Xue, M. Kim, C. Wang, H.Y. Youn
Journal: 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)
Year: 2019

Packet Scheduling for Multiple‐Switch Software‐Defined Networking in Edge Computing Environment

Author(s): H. Xue, K.T. Kim, H.Y. Youn
Journal: Wireless Communications and Mobile Computing
Year: 2018

 Dynamic pricing based near-optimal resource allocation for elastic edge offloading

Author(s): Y. Xia, H. Xue, D. Zhang, S. Mumtaz, X. Xu, J.J.P.C. Rodrigues
Journal: arXiv preprint arXiv:2409.18977
Year: 2024

DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network

Author(s): S. Pei, J. Wang, B. Zhang, W. Qin, H. Xue, X. Ye, M. Chen
Journal: Machine Learning
Year: 2024

Prof. Peng Zhang | Preventing piracy | Best Researcher Award

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Prof. Peng Zhang | Preventing piracy | Best Researcher Award

Changchun University of Science and Technology, China

Profile

Scopus

Early Academic Pursuits 🎓

Peng Zhang embarked on his academic journey with a strong passion for scientific exploration and innovation. He pursued his undergraduate studies in [specific field] at [University Name], where he demonstrated exceptional analytical and research skills. His enthusiasm for advanced scientific methodologies led him to pursue a master’s degree in [specialization] at [Institution], further honing his expertise. Determined to contribute significantly to academia, he obtained his Ph.D. from [University], specializing in [research area]. During his doctoral studies, he actively engaged in research projects that laid the foundation for his future scholarly pursuits.

Professional Endeavors 🌟

As a professor at Changchun University of Science and Technology, Peng Zhang has played a crucial role in shaping the academic landscape. His tenure has been marked by a commitment to fostering a culture of research and innovation. Over the years, he has mentored numerous students, guiding them in cutting-edge research areas. His involvement in curriculum development and academic program enhancement has significantly contributed to elevating educational standards at the university. In addition to his academic responsibilities, he has collaborated with industry leaders to bridge the gap between theoretical knowledge and practical applications.

Contributions and Research Focus 🔬

Peng Zhang’s research interests span multiple domains, including [specific research fields]. He has led several groundbreaking projects that have addressed critical challenges in [related industry or field]. His work in [specific area] has received acclaim for its innovative approach and potential impact. With an impressive citation index, his research publications in high-impact journals such as SCI and Scopus-indexed periodicals reflect his dedication to scholarly excellence. His contributions extend to patent development, where he has successfully registered [number] patents that have practical implications in [industry or field].

Accolades and Recognition 🏆

Recognized for his outstanding contributions, Peng Zhang has received several prestigious awards and honors. His achievements have been acknowledged by academic institutions, professional organizations, and industry leaders. He has been an invited speaker at international conferences, sharing his insights on emerging trends and technological advancements. As an esteemed member of various professional organizations, he has contributed to policy-making and advisory committees, influencing the direction of research and development in his field.

Impact and Influence 🌐

Peng Zhang’s work has had a profound impact on academia and industry alike. His research has led to the development of innovative solutions that have been adopted by practitioners worldwide. His involvement in consultancy and industry projects has facilitated knowledge transfer, ensuring that academic research translates into real-world applications. His role as an editor and reviewer for reputed journals has further solidified his standing as a thought leader in his domain. Through strategic collaborations, he has fostered interdisciplinary research, leading to novel discoveries and advancements.

Legacy and Future Contributions 🌱

Looking ahead, Peng Zhang remains committed to pushing the boundaries of scientific exploration. He envisions expanding his research into emerging areas such as [future research interests]. His dedication to mentoring the next generation of scholars ensures that his legacy will continue through his students and research associates. With a vision for sustainable and impactful research, he aims to contribute further to the global academic community, setting new benchmarks for excellence in education and innovation.

Peng Zhang’s remarkable journey in academia exemplifies his unwavering dedication to knowledge creation and dissemination. His contributions have left an indelible mark on his field, making him a deserving nominee for this prestigious award.

📝Notable Publications

Investigation into preventing piracy based on the temporal perception difference between devices and humans using modulated projection light

Authors: W. Wang, Wenyang; P. Zhang, Peng; Y. Wang, Yuanxin; S. Tong, Shoufeng

Journal: Displays

Year: 2025

Transition behavior between Q-switched mode-locked pulses and noise-like pulses in a thulium doped fiber laser

Authors: Y. Liu, Yang; P. Zhang, Peng; Y. Fan, Yunlong; H. Yu, Hao; S. Tong, Shoufeng

Journal: Laser Physics

Year: 2025

Generation of different Pulse States in a nonlinear amplifying Loop Mirror-based 1.7 μm Fiber laser

Authors: T. Wu, Tong; P. Zhang, Peng; Y. Ning, Yuzhu; X. Ji, Xinyu; C. Wang, Chunyu

Journal: Applied Physics B: Lasers and Optics

Year: 2025

A 6-mode pre-amplifier for turbulence-resistant free-space optical communication

Authors: P. Zhang, Peng; H. Yu, Hao; W. Wu, Wentao; D. Tian, Dongsheng; S. Tong, Shoufeng

Journal: Optics Communications

Year: 2025

Investigation of urban low-altitude long-range atmospheric links for FSO coherent communication

Authors: Y. Wang, Yuanxin; P. Zhang, Peng; H. Zhao, He; S. Tong, Shoufeng; H. Jiang, Huilin

Journal: Optics Communications

Year: 2025