Guangze Pan | Engineering | Best Paper Award

Mr. Guangze Pan | Engineering | Best Paper Award

Senior Engineer China Electronic Product Reliability and Environmental Testing Research Institute China

Guangze Pan is a Senior Engineer at the China Electronic Product Reliability and Environmental Testing Research Institute. He earned his master’s degree from Beihang University and has accumulated over ten years of experience in reliability engineering. Throughout his career, he has contributed to over 20 major research projects, many of which were funded by the National Natural Science Foundation of China and the National Key Research and Development Program. Guangze has published more than 20 high-level papers and holds 17 invention patents. His work is highly regarded in the field of reliability testing and evaluation. ๐Ÿ› ๏ธ๐Ÿ“‘

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Education ๐ŸŽ“

Guangze Pan completed his masterโ€™s degree at Beihang University, a leading institution in China. This foundation has equipped him with extensive knowledge and expertise in reliability engineering, which he has built upon throughout his career.

Experience ๐Ÿ’ผ

With over a decade of experience, Guangze has worked on numerous high-profile projects, contributing significantly to the development of advanced reliability testing technologies. He has been instrumental in the research and application of parallel reliability testing techniques, improving testing efficiency by 83%. This has positively impacted industries such as industrial robotics, where his innovations have significantly enhanced reliability, increasing the mean time between failures from 6,000 hours to 80,000 hours.

Research Interests ๐Ÿ”ฌ

Guangze’s primary research interest lies in reliability testing and evaluation, particularly in multi-component, multi-stress, and multi-profile systems. He focuses on rapid reliability testing of complex systems, aiming to improve efficiency and precision. His work has been vital in elevating the reliability of industrial robots and other critical systems.

Awards ๐Ÿ†

Guangze Panโ€™s contributions have been recognized through prestigious awards, including the second prize of the Science and Technology Award from the China Instrument Society. His research has also been appraised by the Guangdong Society of Mechanical Engineering, where it was acknowledged for reaching international leading levels.

Publications Top Notes: ๐Ÿ“š

Guangze has published over 20 research papers in high-impact journals, with significant contributions in reliability engineering. He has an h-index of 27, and his work has influenced the development of cutting-edge technologies. For more information on his publications, visit his ResearchGate profile.

A novel machine learning-based imputation strategy for missing data in step-stress accelerated degradation test

Study on Simulation Analysis of Secondary Board Card with Multi-Physical Field Coupling

A reliability evaluation method of complex electromechanical products based on the multi-stress coupling acceleration model

A reliability analysis method based on the mixed correlated competition model considering multi-performance degradation and sudden failures

A Novel Machine Learning-Based Imputation Strategies for Missing Data in Step-Stress Accelerated Degradation Test

Fault-tolerant Scheduling Method Based on Imprecise Calculation for Real-time System of Aviation Equipment

A Reliability Evaluation Method for Multi-performance Degradation Products Based on Accelerated Degradation Testing

Geleta Fikadu | Engineering | Best Researcher Award

Assist. Prof. Dr. Geleta Fikadu | Engineering | Best Researcher Award

Ph.D adama science and Technology university Ethiopia

๐ŸŽ“ Dr. Geleta Fekadu Daba, an accomplished expert in Thermal Engineering, earned his Ph.D. from the prestigious Indian Institute of Technology Roorkee (IITR) in 2020. His career spans academia, research, and engineering innovation, focusing on renewable energy systems and automotive engineering. Currently an Assistant Professor at Wollega University, Ethiopia, Dr. Daba actively contributes to energy-efficient technologies, especially solar-assisted liquid desiccant air conditioning systems.

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Education

๐ŸŽ“ Ph.D. in Thermal Engineering – Indian Institute of Technology Roorkee, India (2020)
๐ŸŽ“ M.Sc. in Automotive Engineering – Adama Science and Technology University, Ethiopia (2013)
๐ŸŽ“ B.Sc. in Automotive Technology – Adama Science and Technology University, Ethiopia (2005)

Professional Experience

๐Ÿ›  Assistant Professor, Department of Mechanical Engineering, Wollega University, Ethiopia (2015โ€“Present)

  • Delivered courses on thermodynamics, fluid mechanics, and renewable energy systems.
  • Supervised graduate students and coordinated departmental research projects.
  • Led innovative studies on solar energy applications and energy optimization.

Research Interests

๐Ÿ”ฌ Dr. Dabaโ€™s research encompasses renewable energy, automobile engineering, thermodynamics, heat and mass transfer, nano-fluids for heat transfer, and solar energy systems. His work emphasizes practical solutions for sustainable development and energy efficiency.

Awards and Recognition

๐Ÿ† Received 33 lac INR funding for his Ph.D. project on solar-assisted liquid desiccant air conditioning from the Department of Science and Technology, India.

Publications

๐Ÿ“š Dr. Daba has published extensively in reputed journals and conferences. Below are selected works with links:

Renewable energy for liquid desiccants air conditioning system: A review

Energy and Exergy Analysis of Marquise Shaped Channel Flat Plate Solar Collector Using Al2O3โ€“Water Nanofluid and Water

Comparative performance evaluation of gasoline and its blends with ethanol in gasoline engine

Liquid desiccant air conditioning using single Storage solution tank, evaporative cooling, and marquise-shaped solar collector

Study of Performance of Solar Flat Plate Collector Using Al2O3/Water Nanofluids

Experimental Study of Internallyโˆ’ Cooled Dehumidification of Liquid Desiccant for a Single Storage Tank

Energy and Exergy Analysis of Marquise Shaped Channel Flat Plate Solar Collector Using Al2O3โ€“Water Nanofluid and Water

Performance analysis of a compact liquid desiccant cooling system

Weijun Wang | Engineering | Best Researcher Award

Dr. Weijun Wang | Engineering | Best Researcher Award

Student Changchun University of Technology China

๐ŸŒŸ Weijun Wang (็Ž‹ๅจ็บ) is a researcher in the field of Statistics, currently pursuing a Ph.D. at Changchun University of Technology, China. With expertise spanning fault diagnosis, data-driven designs, and dynamic systems, Weijun Wang has made significant contributions to high-speed train traction systems and other advanced engineering applications.

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Education

๐ŸŽ“ Weijun Wang’s academic journey includes:

  • Ph.D. in Statistics (2021โ€“Present): Changchun University of Technology.
  • Master’s in Information and Communication Engineering (2018โ€“2021): Changchun University of Technology.
  • Bachelor’s in Electronic Information Engineering (2014โ€“2018): Changchun University of Technology.

Experience

๐Ÿ‘ฉโ€๐Ÿ”ฌ Weijun Wang has extensive experience in developing innovative fault detection methods, dynamic system models, and data-driven algorithms. Collaborating on multidisciplinary projects, she has co-authored several impactful journal and conference papers.

Research Interests

๐Ÿ”ฌ Weijun Wang’s research focuses on:

  • Fault detection and diagnosis.
  • Data-driven modeling for high-speed train traction systems.
  • Dynamic systems, robust designs, and performance prediction.

Awards

๐Ÿ† First Prize: National Finals at RAICOM, 2024.
๐Ÿ… Innovation Award: 3rd China Urban Rail Transit Science and Technology Innovation Competition, 2022.

Publications

A Martingale Posterior-Based Fault Detection and Estimation Method for Electrical Systems of Industry

Dynamic Fault Detection Method of Traction Systems in High-Speed Trains Based on Joint Observer

Data-Driven Robust Designs of Performance Prediction and Its Application in High-speed Trains

Enhanced Fault Diagnosis Using Broad Learning for Traction Systems in High-Speed Trains

State Estimation with Partial Random Walk

State-degradation-oriented fault diagnosis for high-speed train running gears system

Fault prediction of high-speed train running gears based on hidden markov model and analytic hierarchy process

Multi-sensor system filtering and fault detection under unbiased constraint and colored measurement noise