Prof Dr. Jian Hao | Innovative Leadership | Best Researcher Award

Prof Dr. Jian Hao | Innovative Leadership | Best Researcher Award

Chongqing University, China

Profile

Scopus

Early Academic Pursuits 🎓

Jian Hao’s academic journey began at Chongqing University, where he earned his Bachelor’s degree in Electrical Engineering between 2003 and 2007. His passion for the field led him to pursue higher studies at the same institution. By 2009, he had completed his Master’s degree, deepening his expertise in electrical engineering with a focus on power transmission systems.

His thirst for knowledge did not stop there. Jian Hao advanced to PhD studies at Chongqing University, which he successfully completed between 2009 and 2012. His research during this time centered on transformer oil-paper insulation and the aging mechanisms affecting power transmission efficiency. His dedication to academic excellence earned him a prestigious opportunity to become an academic visitor at the University of Southampton, UK, between 2010 and 2011, further enriching his global perspective and technical acumen.

Professional Endeavors 🏛️

Jian Hao is currently a teacher and researcher at the State Key Laboratory of Power Transmission Equipment Technology, housed within the School of Electrical Engineering, Chongqing University. His work primarily focuses on the reliability and efficiency of power transmission systems, particularly the longevity and performance of transformer oil-paper insulation.

As an educator, he plays a pivotal role in mentoring future electrical engineers, integrating cutting-edge research into his teaching methodologies. His experience as a researcher allows him to blend theoretical knowledge with real-world applications, making significant contributions to China’s power transmission sector.

Contributions and Research Focus 🔬

Jian Hao’s research focuses on the aging mechanism of transformer oil-paper insulation, a crucial component in power grids. His investigations delve into the factors affecting insulation performance, degradation processes, and the characterization of aging indicators. His work has practical implications in prolonging the lifespan of transformers, enhancing their efficiency, and reducing maintenance costs.

Additionally, Jian Hao has contributed to developing diagnostic techniques that detect early signs of insulation deterioration, enabling proactive maintenance and preventing catastrophic failures in power systems. His expertise in power transmission equipment technology places him at the forefront of innovation in China’s electrical infrastructure.

Accolades and Recognition 🏅

Over the years, Jian Hao has garnered numerous awards and recognitions for his contributions to electrical engineering. His research papers have been published in high-impact journals, and his findings have been presented at prestigious international conferences.

His affiliation with the State Key Laboratory of Power Transmission Equipment Technology highlights his status as a leading expert in the field. Through his work, he has earned respect from peers and industry professionals alike, solidifying his reputation as an authority in power transmission research.

Impact and Influence 🌍

Jian Hao’s work extends beyond academia and directly impacts the power industry. His research provides actionable insights for power companies, policymakers, and equipment manufacturers, contributing to the development of more efficient and durable power systems. By addressing the critical issue of transformer insulation aging, his studies help reduce energy losses, enhance grid stability, and support China’s push toward sustainable energy solutions.

Moreover, as a teacher, he has shaped the next generation of electrical engineers, instilling in them the importance of research-driven innovation. His ability to translate complex engineering concepts into practical applications ensures that his students are well-equipped to tackle real-world challenges in power transmission.

Legacy and Future Contributions 🚀

Looking ahead, Jian Hao is poised to continue his groundbreaking research in electrical insulation and power transmission technologies. His future endeavors may include:

  • Advancing AI-driven diagnostics for transformer aging prediction
  • Developing eco-friendly insulation materials for sustainable energy systems
  • Collaborating with international researchers to enhance global power grid reliability

 

📝Notable Publications

 Development Characteristics of Lightning Impulse Discharge Streamer of Three-element Mixed Insulation Oil Based on Simulation Research

Authors: J. Zhang, Junyi; J. Hao, Jian; J. Zhang, Jingwen; W. Qin, Wei; R. Liao, Ruijin
Journal: Gaodianya Jishu / High Voltage Engineering
Year: 2024

 Microscopic behavior of liquid-solid interface of modified laurate ester and cellulose under combined electrothermal action

Authors: W. Ye, Wenyu; J. Hao, Jian; C. Gao, Chenyu; J. Zhang, Jianwen; R.J. Liao, Ruijin Jin
Journal: Journal of Molecular Liquids
Year: 2024

 Study on Generation Mechanism and Experiment of GIS Multi-frequency Vibration Signals

Authors: Y. Feng, Ying; J. Wu, Jianwen; Z. Wang, Zhi; Y. Shao, Yang; C. Wang, Chengyu
Journal: Zhongguo Dianji Gongcheng Xuebao / Proceedings of the Chinese Society of Electrical Engineering
Year: 2024

 Microstructure-ionisation potential relationship analysis for understanding the molecular ionisation difference of natural esters during the impulse discharge via DFT calculation

Authors: J. Zhang, Jingwen; J. Hao, Jian; W. Ye, Wenyu; J. Zhang, Junyi; R.J. Liao, Ruijin Jin
Journal: High Voltage
Year: 2024

Prof Dr. Genggeng Liu | Innovative Leadership | Best Researcher Award |} 2825

Prof Dr. Genggeng Liu | Innovative Leadership | Best Researcher Award

Prof Dr. Genggeng Liu, Fuzhou University, China

đź”— Professional Profiles

🎓 Academic Qualifications

  • Ph.D. in Mathematics and Computer Science, Fuzhou University, China
    Sep. 2009 – Mar. 2015
  • B.S. in Mathematics and Computer Science, Fuzhou University, China
    Sep. 2005 – Jul. 2009

👨‍🏫 Academic Positions

  • Full Professor, College of Computer and Data Science, Fuzhou University
    Sep. 2023 – present
  • Associate Professor, College of Computer and Data Science, Fuzhou University
    May. 2021 – Sep. 2023
  • Associate Professor, College of Mathematics and Computer Science, Fuzhou University
    Jul. 2018 – May. 2021
  • Lecturer, College of Mathematics and Computer Science, Fuzhou University
    Jul. 2015 – Jul. 2018

🏅 Honors & Recognitions

  • Fujian Outstanding Young Scholars
  • Fujian High Level Talents (C-Level)

📚 Selected Publications

  • Fault-Tolerance-Oriented Physical Design for Fully Programmable Valve Array Biochips
    G. G. Liu, Y. H. Zhu, W. Z. Guo, and X. Huang
    Proceedings of ACM/IEEE Design Automation Conference (DAC), 2023, pp. 1-6.
  • Control-Logic Synthesis of Fully Programmable Valve Array Using Reinforcement Learning
    X. Huang, H. Y. Cai, W. Z. Guo, G. G. Liu, T.-Y. Ho, K. Chakrabarty, and U. Schlichtmann
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 1, pp. 277-290, 2024.
  • Design Automation for Continuous-Flow Microfluidic Biochips: A Comprehensive Review
    G. G. Liu, H. B. Huang, Z. S. Chen, H. X. Lin, H. Liu, X. Huang, and W. Z. Guo
    Integration-the VLSI Journal (INTEGRATION), vol. 82, pp. 48-66, 2022.
  • Adaptive Control-Logic Routing Flow for Fully Programmable Valve Array Using Deep Reinforcement Learning
    H. Y. Cai, G. G. Liu*, W. Z. Guo, Z. P. Li, T.-Y. Ho, and X. Huang
    Asia and South Pacific Design Automation Conference (ASP-DAC), 2024, pp. 564-569.
  • Towards Automated Testing of Multiplexers in Fully Programmable Valve Array Biochips
    G. G. Liu, Y. Q. Zeng, Y. H. Zhu, H. Y. Cai, W. Z. Guo, Z. P. Li, T.-Y. Ho, and X. Huang

Dr. Genggeng Liu is a prominent figure in the field of computer and data science, particularly known for his contributions to the design and automation of microfluidic biochips. His work has significantly advanced fault-tolerant design and control-logic synthesis, employing cutting-edge techniques such as reinforcement learning. Dr. Liu’s research has been recognized through prestigious publications and numerous awards, underscoring his impact on the academic and scientific community.

Publication Top Noted

Paper Title : Multilayer obstacle-avoiding X-architecture Steiner minimal tree construction based on particle swarm optimization

    • Authors: Genggeng Liu, Xing Huang, Wenzhong Guo, Yuzhen Niu, Guolong Chen
    • Journal: IEEE Transactions on Cybernetics
    • Year: 2015
    • Citations : 97

Paper Title : A PSO-based timing-driven Octilinear Steiner tree algorithm for VLSI routing considering bend reduction

    • Authors:Genggeng Liu, Wenzhong Guo, Yuzhen Niu, Guolong Chen, Xing Huang
    • Journal: Soft Computing 
    • Year: 2015
    • Citations:  87

Paper Title : A unified algorithm based on HTS and self-adapting PSO for the construction of octagonal and rectilinear SMT

    • Authors: Genggeng Liu, Zhisheng Chen, Zhen Zhuang, Wenzhong Guo, Guolong Chen
    • Journal: Soft Computing
    • Year: 2020
    • Citations:  85

Paper Title :Obstacle-avoiding algorithm in X-architecture based on discrete particle swarm optimization for VLSI design

    • Authors: He, X.-H., Shi, Y.-Y., Zhou, X.-L., …, Zhang, Z.-K., Huang, Q.-C.
    • Journal: ACM Transactions on Design Automation of Electronic Systems (TODAES)
    • Year: 2015
    • Citations: 70

Paper Title : A hybrid multi-objective PSO algorithm with local search strategy for VLSI partitioning

    • Authors: Wenzhong Guo, Genggeng Liu, Guolong Chen, Shaojun Peng
    • Journal: Frontiers of Computer Science
    • Year: 2014
    • Citations: 58