Mingchen Luan | Engineering | Best Researcher Award

Mr. Mingchen Luan | Engineering | Best Researcher Award

Student at Shandong Jiaotong University,China

Mingchen Luan is a postgraduate researcher at Shandong Jiaotong University in China, specializing in Rail Transit. His work primarily focuses on advanced motor control systems, particularly for Permanent Magnet Synchronous Motors (PMSM). Luan has published influential research in respected journals such as Actuators and World Electric Vehicle Journal, where his studies on sensorless control and rotor position detection methods for PMSMs have garnered attention. His innovative contributions include developing adaptive finite-time super-twisting sliding mode observers and variable gain discrete sliding mode observers to improve motor control precision. These advancements are critical for enhancing efficiency in electric vehicles and rail transit systems. Luan’s research is highly technical and has significant potential to impact industries relying on advanced motor control, like electric vehicles and rail systems. While his focus is on motor control, expanding his research into broader areas of transportation technology could further elevate his academic and professional standing.

Professional Profile 

Education

Mingchen Luan is currently pursuing his postgraduate studies at Shandong Jiaotong University in Jinan, China, specializing in Rail Transit within the College of Rail Transit. He began his academic journey at the university in September 2022 and is expected to complete his studies by September 2025. Luan’s educational focus is on the intersection of electrical engineering and transportation systems, with particular emphasis on motor control technologies used in rail and electric vehicle applications. This specialized area of study has enabled him to explore cutting-edge techniques in sensorless motor control and advanced observer design for Permanent Magnet Synchronous Motors (PMSM). His academic background and research are pivotal in advancing efficient and precise motor control systems, making significant contributions to both the rail transit sector and broader electrical engineering fields. Luan’s continued research promises to further enhance the development of intelligent and sustainable transportation technologies.

Professional Experience

Mr. Mingchen Luan is currently a postgraduate researcher at Shandong Jiaotong University in China, where he focuses on rail transit and motor control systems within the College of Rail Transit. Although specific details of his professional work experience outside academia are not widely available, his academic research and contributions position him as a rising expert in the field of electrical engineering. Luan’s work on advanced motor control techniques, particularly for Permanent Magnet Synchronous Motors (PMSM), has gained recognition through publications in prominent journals. His research involves the development of innovative sensorless control methods and rotor position detection techniques, which are critical for improving efficiency and performance in electric vehicles and rail transit systems. Through his research, Luan demonstrates a strong focus on practical applications of motor control systems, contributing to the advancement of sustainable transportation technologies. His professional experience is centered around the intersection of engineering research and real-world transportation solutions.

Research Interest

Mr. Mingchen Luan’s research interests lie primarily in the field of electrical engineering, with a specific focus on motor control systems, particularly for Permanent Magnet Synchronous Motors (PMSM). His work aims to enhance the performance and efficiency of electric vehicles and rail transit systems through advanced control techniques. Luan is particularly interested in sensorless motor control, developing innovative methods for rotor position detection and improving motor control precision. His research explores the application of adaptive finite-time super-twisting sliding mode observers and variable gain discrete sliding mode observers, which are essential for ensuring high efficiency in motor systems without relying on sensors. Luan’s work contributes to the development of more reliable, cost-effective, and energy-efficient technologies for transportation, helping drive advancements in electric and rail systems. His research is at the cutting edge of motor control technology, with significant potential to influence the future of sustainable transportation solutions.

Award and Honor

As of now, there is no specific mention of awards or honors for Mr. Mingchen Luan in publicly available records. However, his academic contributions and research in the field of motor control for Permanent Magnet Synchronous Motors (PMSM) have been recognized within academic circles, as demonstrated by his publication in reputable journals such as Actuators and World Electric Vehicle Journal. Luan’s innovative work on sensorless motor control and rotor position detection methods highlights his technical expertise and potential for future recognition. Given his promising research in advancing transportation technology, particularly in rail transit and electric vehicles, it is likely that his contributions will be acknowledged with awards or honors as his career progresses. His research is already paving the way for further academic and industry recognition, which could lead to future accolades in the fields of electrical engineering and transportation technology.

Conclusion

Mingchen Luan has demonstrated solid academic achievements and technical expertise in his field of motor control systems. His innovative research on PMSM control mechanisms is highly valuable to modern transportation, particularly in the rail and electric vehicle sectors. While his work is already impactful, expanding his research scope, fostering interdisciplinary collaborations, and increasing public outreach would significantly enhance his standing for the Best Researcher Award. His strong academic background and focus on practical applications position him as a promising candidate for further recognition in the research community.

Publications Top Noted

  • Publication Title: An Improved Adaptive Finite-Time Super-Twisting Sliding Mode Observer for the Sensorless Control of Permanent Magnet Synchronous Motors
    • Authors: Mingchen Luan, Jiuhong Ruan, Yun Zhang, Haitao Yan, Long Wang
    • Journal: Actuators
    • Year: 2024
    • DOI: 10.3390/act13100395
    • ISSN: 2076-0825
    • Citation: As of now, the citation count is not available. You can track citations via Google Scholar or the journal’s database.
  • Publication Title: A Rotor Position Detection Method for Permanent Magnet Synchronous Motors Based on Variable Gain Discrete Sliding Mode Observer
    • Authors: Mingchen Luan, Yun Zhang, Xiaowei Li, Fenghui Xu
    • Journal: World Electric Vehicle Journal
    • Year: 2024
    • DOI: 10.3390/wevj15030087
    • ISSN: 2032-6653
    • Citation: As with the first publication, citation details can be tracked through platforms like Google Scholar.

Yuejin Yuan | Engineering | Best Researcher Award

Prof. Yuejin Yuan | Engineering | Best Researcher Award

Professor at Shaanxi University of Science and Technology, China

Prof. Yuejin Yuan, a distinguished scholar and innovator, is a Ph.D. holder, professor, and doctoral supervisor renowned for his contributions to green energy-saving dry processing of agricultural products and food. Serving as the Vice Dean of the School of Mechanical and Electrical Engineering at Shaanxi University of Science and Technology, he also holds prominent positions in national societies, including the Chinese Agricultural Machinery Society and the Chinese Mechanical Engineering Society. Prof. Yuan has led numerous prestigious projects, such as the National Agricultural Science and Technology Innovation Capacity Project and National Natural Science Foundation initiatives. With over 120 academic publications, 58 indexed in SCI/EI, 20 nationally authorized invention patents, and 36 utility model patents, his research has achieved widespread recognition. His accolades include multiple provincial science and technology awards. Prof. Yuan’s leadership, academic excellence, and innovative contributions underscore his pivotal role in advancing sustainable technologies in agricultural and food processing.

Professional Profile 

Education

Prof. Yuejin Yuan has a strong educational foundation that has shaped his exemplary career in research and innovation. He earned his Ph.D., which laid the groundwork for his specialization in green energy-saving technologies for agricultural and food processing. As a lifelong learner and academic leader, he has consistently pursued advanced knowledge and skills, enabling him to contribute significantly to his field. His academic journey is complemented by his role as a professor and doctoral supervisor, where he mentors the next generation of researchers. Prof. Yuan’s education not only equipped him with the technical expertise necessary for pioneering research but also instilled a vision for innovation and sustainability. His academic achievements are further reflected in his leadership roles and extensive scholarly output, making his educational background a cornerstone of his impactful contributions to science and technology.

Professional Experience

Prof. Yuejin Yuan boasts an illustrious professional career characterized by leadership, innovation, and impactful research in agricultural and food processing technologies. He serves as the Vice Dean of the School of Mechanical and Electrical Engineering at Shaanxi University of Science and Technology, where he oversees academic and research initiatives. Prof. Yuan is a prominent figure in professional societies, holding roles such as Deputy Director of the Agricultural and Sideline Products Processing Machinery Branch of the Chinese Agricultural Machinery Society and a standing member of the Packaging and Food Branch of the Chinese Mechanical Engineering Society. He has led groundbreaking projects, including National Key R&D Plans and Natural Science Foundation initiatives, and has collaborated extensively with enterprises on R&D. With over 120 academic publications, 58 indexed in SCI/EI, and numerous patents, Prof. Yuan’s professional experience reflects his commitment to advancing sustainable technologies and fostering innovation in his field.

Research Interest

Prof. Yuejin Yuan’s research interests lie at the intersection of sustainability, innovation, and technology, with a focus on the theory, technology, and equipment for green energy-saving dry processing of agricultural products and food. His work addresses critical challenges in reducing energy consumption and enhancing efficiency in agricultural and food processing industries, aligning with global priorities for sustainable development. Prof. Yuan is deeply invested in developing innovative solutions that optimize processing techniques while minimizing environmental impact. His research encompasses the design and advancement of cutting-edge machinery and systems that improve the quality and preservation of agricultural products. By combining theoretical exploration with practical applications, he bridges the gap between academic research and industrial needs. Prof. Yuan’s dedication to this field has led to numerous publications, patents, and successful projects, reflecting his commitment to driving progress in sustainable agricultural processing technologies.

Award and Honor

Prof. Yuejin Yuan has received numerous awards and honors, recognizing his outstanding contributions to research and innovation in agricultural and food processing technologies. Among his accolades are six prestigious scientific and technological awards, including first and second prizes in the Shaanxi Provincial Science and Technology Awards. These honors highlight the significant impact of his work on advancing green energy-saving technologies and sustainable practices in his field. Prof. Yuan’s leadership and innovative achievements have earned him recognition as a leading young and middle-aged scientific and technological innovation talent in Shaanxi Province. Additionally, his role as a key contributor to national and provincial research initiatives further underscores his excellence. Through his achievements, Prof. Yuan has solidified his reputation as a pioneering researcher and an influential figure in the advancement of sustainable technology, making him a prominent leader and innovator in his domain.

Conclusion

Yuan Yuejin is a highly suitable candidate for the Best Researcher Award, with a distinguished career in agricultural and food processing research, robust academic contributions, and impactful leadership roles. His innovations in green energy-saving technologies align well with current global priorities for sustainability and efficiency. With an emphasis on increasing global visibility and interdisciplinary outreach, Yuan’s candidacy would be exceptionally compelling for this award.

Publications Top Noted

  • Title: Enhancing CO2 puffing drying of potatoes through ethanol and freeze-thaw post-treatment
    Authors: Niu, Y., Yuan, Y., Xu, Y., Xiong, F., Dai, Y.
    Year: 2025
    Citations: 0
  • Title: Lignin nanoparticles-based carbon aerogels with 3D interconnected framework supported nickel-cobalt layered double hydroxide nanosheets for high-performance hybrid supercapacitors
    Authors: Lou, R., Dong, L., Cao, Q., He, L., Yuan, Y.
    Year: 2024
    Citations: 0
  • Title: Microscopic and Macroscopic Analysis of Purple Sweet Potato Dried Products Following Vacuum Steam Pulsation Blanching Pretreatment
    Authors: Wang, D., Zhao, Y., Niu, Y., Sun, H., Yuan, Y.
    Year: 2024
    Citations: 0
  • Title: Effect of Blanching Pretreatment before Drying on the Microstructure and Texture Quality of Dried Apple Slices
    Authors: Wang, D., Zhao, Y., Deng, Z., Wang, Y., Yuan, Y.
    Year: 2024
    Citations: 0
  • Title: Experiment and Quality Evaluation of Hot-Air Vacuum Combined Drying for Red Jujube Slices Based on Analytic Hierarchy Process
    Authors: Niu, J., Yuan, Y., Li, Y., Xu, Y., Zuo, X.
    Year: 2024
    Citations: 0
  • Title: Renewable symmetric supercapacitors assembled with lignin nanoparticles-based thin film electrolyte and carbon aerogel electrodes
    Authors: Lou, R., Niu, T., Zhao, F., Wei, G., Lyu, G.
    Year: 2024
    Citations: 1
  • Title: Molecular Mechanism of Enhanced Water Evaporation on Hybrid Nanostructure
    Authors: Wang, Z., An, M., Sun, X., Shi, J., Yuan, Y.
    Year: 2024
    Citations: 0
  • Title: Transport dynamics of droplets encapsulated by an elastic interface in pore throats
    Authors: He, L., He, W., Wang, S., Tao, Y., Yuan, Y.
    Year: 2024
    Citations: 3
  • Title: Effect of microwave combined with ethanol pretreatment on the quality of potato CO2 explosion puffing drying
    Authors: Niu, Y., Yuan, Y., Xu, Y., Tan, L., Dai, Y.
    Year: 2024
    Citations: 1
  • Title: Optimization of Vacuum Steam Pulsating Blanching Process of Prepared Okra Vegetable by Response Surface Method
    Authors: Yuan, Y., Li, Y., Xu, Y., Li, S.
    Year: 2024
    Citations: 0

Tharindu Madhushanka | Engineering | Best Researcher Award

Mr. Tharindu Madhushanka | Engineering | Best Researcher Award

Engineer at Browns Engineering and Construction, Sri Lanka

Mr. Tharindu Indunil Madhushanka is a promising researcher and civil engineering professional from the University of Moratuwa, Sri Lanka. He holds a Master of Science in Civil Engineering, with a focus on using artificial intelligence for flood forecasting, specifically in the Polonnaruwa region. His research integrates machine learning techniques such as LSTM, ANN, and Transformer models to predict water levels using meteorological and hydrological data. Tharindu has also contributed to sustainable construction through his undergraduate research on the thermal performance and embodied energy of precast panel buildings. His academic achievements include a GPA of 3.54 in Civil Engineering and notable publications, including a paper in the Journal of Hydrologic Engineering. He has gained hands-on experience in both teaching and industry, having worked as an instructor and research assistant at the University of Moratuwa and a trainee civil engineer. Tharindu is dedicated to advancing AI applications in civil engineering for disaster management and sustainability.

Professional Profile

Education

Mr. Tharindu Indunil Madhushanka has a strong educational background in civil engineering, having completed his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, where he graduated with a second-class upper division and a GPA of 3.54 out of 4.2. His undergraduate studies provided him with a solid foundation in engineering principles and practices. He further pursued a Master of Science at the same university, beginning in November 2022, with a research focus on utilizing artificial intelligence to forecast floods, particularly in the Polonnaruwa region of Sri Lanka. Under the guidance of Prof. M.T.R. Jayasinghe, his postgraduate research aims to develop machine learning models for predicting water levels using meteorological and hydrological data. This interdisciplinary approach bridges civil engineering and AI, reflecting his commitment to advancing both fields. His studies are set to culminate in July 2024, contributing valuable insights to flood risk management.

Professional Experience

Mr. Tharindu Indunil Madhushanka has gained valuable professional experience through both academic and industry roles. As a research assistant at the Department of Civil Engineering, University of Moratuwa, he contributed to various engineering modules, including Mechanics, Structural Mechanics, and the Design of Large Structures. His responsibilities included assisting in teaching and providing support for courses such as Building Construction & Materials and Design of Masonry and Timber Structures. Additionally, Tharindu worked as an instructor in the Department of Computer Science Engineering, teaching Programming Fundamentals from June to September 2024. His industry experience includes serving as a trainee civil engineer at RR Construction (Pvt) Ltd, where he was involved in significant projects such as the Mahaweli Water Security Investment Program. These projects, including the Minipe Left Bank Canal Rehabilitation and North-Western Province Canal Project, provided him with hands-on experience in large-scale civil engineering works, enhancing his practical skills.

Research Interest

Mr. Tharindu Indunil Madhushanka’s research interests lie at the intersection of civil engineering and artificial intelligence, with a focus on disaster risk management and sustainable construction. His primary research area is the use of machine learning techniques, particularly deep learning models like LSTM, ANN, and Transformer, to forecast floods and predict water levels in flood-prone regions, such as Polonnaruwa, Sri Lanka. By utilizing meteorological and hydrological data, Tharindu aims to enhance flood prediction systems, providing valuable insights for mitigating the impacts of natural disasters. Additionally, he is interested in sustainable building practices, as demonstrated by his undergraduate research on the thermal performance and embodied energy of precast panel buildings. Tharindu’s work seeks to improve the environmental efficiency of construction materials and methods, making buildings more energy-efficient over their life cycles. His research reflects his commitment to advancing both AI applications and sustainability within the civil engineering field.

Award and Honor

Mr. Tharindu Indunil Madhushanka has achieved notable academic recognition throughout his educational journey. He graduated with a second-class upper division in his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, with a commendable GPA of 3.54 out of 4.2. This achievement underscores his strong academic performance and dedication to his studies. Tharindu has also earned recognition for his research contributions, particularly in the field of flood forecasting using artificial intelligence. His publication, “Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning,” in the Journal of Hydrologic Engineering, demonstrates the impact of his work on flood management. Although his H-index is currently 1, it reflects his emerging influence in the research community. Tharindu’s research on sustainable building practices, including the thermal performance of precast panel buildings, has been presented at international conferences, further highlighting his growing recognition within the civil engineering and AI research communities.

Conclusion

Tharindu Indunil Madhushanka demonstrates a strong foundation in innovative, interdisciplinary research, particularly in leveraging artificial intelligence for flood forecasting and sustainable building practices. His academic achievements, technical expertise, and impactful research in disaster management are highly commendable.

Publications Top Noted

  • Title: Multi Day Ahead Flood Prediction in South Asian Tropical Zone Using Deep Learning
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: 1
  • Title: Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning
    Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
    Journal: Journal of Hydrologic Engineering 30 (1), 04024054
    Year: 2025
    Cited by: Not available
  • Title: Behavior of LSTM and Transformer Deep Learning Models in Flood Simulation Considering South Asian Tropical Climate
    Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
    Year: 2024
    Cited by: Not available
  • Title: Transformer & LSTM Based Models for Multi-Day Ahead Flood Prediction in Tropical Climates
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: Not available
    Available at: SSRN 4746297
  • Title: Flood Prediction for Tropical Climates Using LSTM and Transformer Machine Learning Models
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: Not available
    Available at: SSRN 4736261
  • Title: LONG SHORT-TERM MEMORY (LSTM) & FEEDFORWARD ARTIFICIAL NEURAL NETWORK (ANN) FOR FLOOD PREDICTION
    Authors: G.W.T.I. Madhushanka, M.T.R. Jayasinghe, R.A. Rajapakse
    Event: Proceedings of the 14th International Conference on Sustainable Built …
    Year: 2023
    Cited by: Not available
  • Title: Thermal Performance of Precast Panel Buildings
    Authors: G Madhushanka, SS Bandaranayaka, MTR Jayasinghe, H Herath
    Event: University of Ruhuna
    Year: 2023
    Cited by: Not available