Dr. Li Qin | Monitoring Award | Best Researcher Award

Posted on by ScienceFather

Dr. Li Qin | Monitoring Award | Best Researcher Award 

Dr. Li Qin, Zhejiang Ocean University, China

Dr. Li Qin is a faculty member in the Department of Information Engineering at Zhejiang Ocean University, China. He earned his Ph.D. in Information and Communication Engineering from Dalian Maritime University in 2019, where he also completed his M.S. and B.S. degrees. He was a visiting Ph.D. student at the Cullen College of Engineering, University of Houston, from 2017 to 2018. Before joining Zhejiang Ocean University in 2024, he served as an associate research fellow and lecturer at Ningbo University and was a visiting scholar at Zhejiang University. His research focuses on information engineering and related technologies.

Professional Profile:

ORCID

Suitability of Li Qin, Ph.D., for the Best Researcher Award

Dr. Li Qin demonstrates a strong academic background and research experience in the field of Information and Communication Engineering. His contributions to multidisciplinary research, particularly in marine science, engineering, and tunnel lighting systems, highlight his diverse expertise. Below is an evaluation based on key award criteria:

📚 Education

🎓 Ph.D. in Information and Communication Engineering (Mar. 2015 – Jan. 2019)
🔹 Dalian Maritime University, China

🎓 Visiting Ph.D. Researcher (Sept. 2017 – Sept. 2018)
🔹 Cullen College of Engineering, University of Houston, TX, USA

🎓 M.S. in Electronic Science and Technology (Sept. 2013 – Mar. 2015)
🔹 Dalian Maritime University, China

🎓 B.S. in Electronic Information Science and Technology (Sept. 2009 – July 2013)
🔹 Dalian Maritime University, China

🏢 Professional Experience

👨‍🏫 Lecturer (June 2024 – Present)
🔹 Department of Information Engineering, Zhejiang Ocean University, China

🧑‍🔬 Associate Research Fellow (Dec. 2022 – May 2024)
🔹 Department of Information Science and Engineering, Ningbo University, China

🎓 Visiting Scholar (Sept. 2022 – Sept. 2023)
🔹 Ocean College, Zhejiang University, China

👨‍🏫 Lecturer (Jan. 2019 – Dec. 2022)
🔹 Department of Information Science and Engineering, Ningbo University, China

🏆 Achievements, Awards & Honors

🌟 Outstanding Research Contribution – Recognized for significant contributions to Information and Communication Engineering
📜 Published Multiple Research Papers – Articles in prestigious SCI/EI-indexed journals
🏅 Government and Institutional Grants – Secured funding for various research projects
🔬 Key Research Areas – Wireless Communications, Signal Processing, Ocean Information Engineering

Publication Top Notes:

Actual Truck Arrival Prediction at a Container Terminal with the Truck Appointment System Based on the Long Short-Term Memory and Transformer Model

Proposal for a Calculation Model of Perceived Luminance in Road Tunnel Interior Environment: A Case Study of a Tunnel in China

Comparative Study of Energy Savings for Various Control Strategies in the Tunnel Lighting System

Use of Pupil Area and Fixation Maps to Evaluate Visual Behavior of Drivers inside Tunnels at Different Luminance Levels—A Pilot Study

Dynamic luminance tuning method for tunnel lighting based on data mining of real-time traffic flow

Prof. Dr. Weidong Jiao | Smart Detection | Best Researcher Award

Posted on by ScienceFather

Prof. Dr. Weidong Jiao | Smart Detection | Best Researcher Award 

Prof. Dr. Weidong Jiao, Zhejiang Normal University, China

Dr. Weidong Jiao was born in Wafangdian, Liaoning, China, in 1970. He received his B.E. and M.E. degrees in Safety Engineering and Mechanical Engineering from Gansu University of Technology in 1992 and 2001, respectively, and earned his Ph.D. in Mechanical Engineering from Zhejiang University in 2004. From 2004 to 2009, he served as a Professor in the Mechanical Engineering Department at Jiaxing University. Since 2013, he has been a Professor at the School of Engineering, Zhejiang Normal University. Dr. Jiao has authored over 100 research articles and holds approximately 20 invention patents. His research focuses on smart testing and signal processing, mechanical dynamics, and condition monitoring and fault diagnosis of mechanical equipment. He also serves as an Editor for the Journal of Vibration, Measurement & Diagnosis.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Prof. Weidong Jiao

Prof. Weidong Jiao is a highly qualified candidate for the Best Researcher Award, based on his extensive contributions to mechanical engineering, fault diagnosis, and intelligent signal processing. His strong research background, innovative work, and leadership in academia make him a worthy contender for this prestigious recognition.

🎓 Education:

  • B.E. in Safety Engineering – Gansu University of Technology, Lanzhou (1992)
  • M.E. in Mechanical Engineering – Gansu University of Technology, Lanzhou (2001)
  • Ph.D. in Mechanical Engineering – Zhejiang University, Hangzhou (2004)

💼 Work Experience:

  • Professor, Mechanical Engineering Department, Jiaxing University (2004–2009)
  • Professor, School of Engineering, Zhejiang Normal University (Since 2013)

🏆 Achievements & Contributions:

  • 📚 Published over 100 research articles
  • 🔬 Invented approximately 20 innovations
  • 🛠️ Expertise in smart testing, signal processing, mechanical dynamics, condition monitoring, and fault diagnosis
  • 📝 Editor of Journal of Vibration, Measurement & Diagnosis

🏅 Awards & Honors:

  • 🎖️ Recognized for contributions in mechanical engineering and diagnostics
  • 🏅 Honored for advancements in fault diagnosis and condition monitoring
  • 🔍 Acknowledged for outstanding research and academic contributions in mechanical dynamics

Publication Top Notes:

Compact multiphysics coupling modeling and analysis of self-excited vibration in maglev trains

Deep learning in industrial machinery: A critical review of bearing fault classification methods

Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis

Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions

Cross-Conditions Fault Diagnosis of Rolling Bearing Based on Transitional Domain Adversarial Network

Prof. Yankun Peng | Smart Monitoring Award | Best Researcher Award

Posted on by ScienceFather

Prof. Yankun Peng | Smart Monitoring Award | Best Researcher Award 

Prof. Yankun Peng, China Agricultural University, China

Dr. Peng is a distinguished researcher and professor in the field of Agricultural Engineering with a focus on intelligent detection systems and automated devices for evaluating agricultural product quality and safety. He holds a Ph.D. in Biological and Agricultural Engineering from Tokyo University of Agriculture and Technology, Japan, and has extensive academic and professional experience in both China and the United States. Since 2007, Dr. Peng has served as a Professor and PhD supervisor at the College of Engineering, China Agricultural University (CAU), where he also holds key leadership roles including Director of the National R&D Center for Agro-Processing Technology and Equipment and the National Technical Center for Nondestructive Evaluation, Identification, Instrument, and Equipment of Famous Agro-foods.

Professional Profile:

 

Summary of Suitability for Best Researcher Award 

Dr. Peng has authored 293 peer-reviewed journal articles and 257 conference proceedings, showcasing his prolific research output.He holds 107 patents (including a US patent), with 22 patents industrialized, reflecting his significant contributions to applied science and technology. Additionally, he has developed 18 series of equipment for agro-food quality inspection and grading. Dr. Peng has established 14 standards and authored 4 books and 17 book chapters, demonstrating his leadership in setting benchmarks and contributing to scientific literature.

Education

  • Ph.D. in Biological and Agricultural Engineering
    Tokyo University of Agriculture and Technology, Tokyo, Japan
    Apr. 1993 – Mar. 1996
    Major: Agricultural Engineering, Specialty in Biological Production Science
    Dissertation Title: Active Noise Control on Agricultural/Biological Production Machinery

    • Developed and designed a new type of Active Noise Control (ANC) system/equipment.
    • Proposed a Recurrent Least Squares (RLS) algorithm for noise reduction.
    • Conducted computer simulations of noise reduction effects using C/C++ programming language.
    • Constructed an Adaptive Digital Filter (ADF) system with digital signal processors (DSP) and C/C++ programming.
    • Evaluated the control system on actual machinery and simplified the control algorithm using matrix theory.
  • M.S. in Engineering in Agricultural Electrification & Automation
    Graduate School of Northeast Agricultural University, Harbin, China
    Sep. 1985 – Dec. 1988
    Major: Agricultural Electrification & Automation
    Thesis Title: A Microcomputer Control System for Livestock Granulated Feed Processing

    • Developed a PID feedback control system using a microcomputer.
    • Proposed a new control method for the rotation speed of a servomechanism.
    • Designed a controller using a microcomputer and assembly programming language.
    • Invented a grain flow sensor and applied the control system to livestock feed production.
    • Proposed a method for judging the stability of linear time-invariant systems.

Professional Experience

  • Professor and Ph.D. Supervisor
    Department of Agricultural Engineering, College of Engineering, China Agricultural University (CAU)
    Beijing, China
    Mar. 2007 – Present

    • Research in nondestructive measurement and instrumentation for agricultural product quality and safety.
    • Development of hyperspectral/multispectral and Raman spectral imaging methods for meat microbial contamination detection.
    • Development of rapid real-time inspection/detection systems and NIR optical instruments for agricultural product contaminants.
    • Teaching courses on nondestructive measurement technology and hyperspectral imaging techniques for agro-food quality attributes.
    • Supervised over 60 graduate students in agricultural engineering research.
  • Director, National R&D Center for Agro-Processing Technology and Equipment
    Ministry of Agriculture and Rural Affairs, China
    Nov. 2009 – Present

    • Oversight of national research and development projects related to agro-processing technology and equipment.
  • Director, National Technical Center for Nondestructive Evaluation, Identification, Instrument and Equipment of Famous, Special, Excellent and New Agro-foods
    Ministry of Agriculture and Rural Affairs, China
    Dec. 2019 – Present

    • Leadership in the development and evaluation of nondestructive techniques and equipment for agro-food quality assessment.

Publication top Notes:

Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control

Tailored Au@Ag NPs for rapid ractopamine detection in pork: Optimizing size for enhanced SERS signals

Optimization of Online Soluble Solids Content Detection Models for Apple Whole Fruit with Different Mode Spectra Combined with Spectral Correction and Model Fusion

SERS characterization and concentration prediction of Salmonella in pork

Rapid Quantitative detection of Ractopamine using Raman scattering features combining with Deep Learning

Non-destructive detection of TVC in pork by machine learning techniques based on spectral information