Shilong Sun-Decision-making and Problem-solving-Best Researcher Award
Harbin Institute of Technology, Shenzhen-China
Author Profile
Early Academic Pursuits
Shilong Sun embarked on his academic journey at Shenyang Aerospace University, where he pursued a B.Sci. in Mechanical Engineering. He further delved into the realm of Power Engineering (Internal Combustion Engine) during his M.Phil. at Jilin University, School of Automotive Engineering. His early academic pursuits laid the foundation for a career marked by excellence and innovation.
Professional Endeavors
After completing his M.Phil., Shilong Sun continued to carve his path in academia. He earned a Ph.D. at City University of Hong Kong, specializing in the Department of Systems Engineering and Engineering Management. His dedication and passion for research propelled him through various roles, including a Postdoctoral Fellow and Research Associate at City University of Hong Kong.
Contributions and Research Focus: Shilong Sun's research interests span a diverse range of techniques and applications. Notably, he has made significant contributions in areas such as Humanoid Robots, Artificial Intelligence, Deep Learning, Fault diagnosis and prognosis, and Vibration energy harvesting. His work extends to applications like Robot design, Industrial data application, and Smart cities design, showcasing a holistic approach to technological advancements.
Accolades and Recognition
Throughout his academic and research journey, Shilong Sun has garnered recognition and accolades. Notable among them are the Academicsera Excellent Paper Award (May 2018), Outstanding Academic Performance Award in CityU of Hong Kong (2016-2017), and Research Tuition Scholarship in CityU of Hong Kong (2016-2017). These honors underscore his exceptional contributions to the field.
Impact and Influence
Shilong Sun's research has left a lasting impact, evident in a series of publications in reputable journals such as ISA Transactions, Sensors, and IEEE Transactions. His work on label-free interpretable machine fault diagnosis, machinery prognostics, and IoT motion tracking has contributed to the advancement of knowledge in these domains.
Legacy and Future Contributions
As an Assistant Professor at the School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Shilong Sun continues to shape the future of research and education. His expertise in areas like data privacy protection diagnosis frameworks and vibration-based energy harvesters sets the stage for further advancements in technology.
Shilong Sun's legacy is one of innovation, dedication, and a relentless pursuit of excellence. His future contributions are anticipated to further enrich the fields of robotics, artificial intelligence, and smart technologies, leaving an enduring impact on the academic and technological landscape.
Notable Publications
- Modeling of a horizontal asymmetric U-shaped vibration-based piezoelectric energy harvester (U-VPEH)
- A general sequential Monte Carlo method based optimal wavelet filter: A Bayesian approach for extracting bearing fault features
- Fault feature extractor based on bootstrap your own latent and data augmentation algorithm for unlabeled vibration signals
- Design and performance of a multimodal vibration-based energy harvester model
- An enhanced factor analysis of performance degradation assessment on slurry pump impellers
- Novel sparse representation degradation modeling for locating informative frequency bands for Machine performance degradation assessment