Weidong Zhao | Engineering | Best Researcher Award

Posted on by Physicist Particle

Assist. Prof. Dr. Weidong Zhao | Engineering | Best Researcher Award  

Assist. Prof. Dr. Weidong Zhao, Taiyuan University of Technology, China

Dr. Weidong Zhao is a renowned materials scientist specializing in gradient nanostructures and surface engineering. His pioneering discovery of using gradient nanostructures to enhance wear and fatigue resistance in aviation metals has led to significant advancements in the field. His work addresses the longstanding challenge of balancing strength and fatigue resistance in difficult-to-process materials like ultra-high-strength steel and titanium alloys. He has published over 20 SCI papers in international journals and developed innovative surface strengthening systems recognized worldwide for their social and economic significance.

Dr. Zhao’s contributions are highly regarded in industries such as aviation, aerospace, and nuclear engineering, where his methods have practical applications in improving metal durability and serviceability.

PROFILE

Scopus  Profile

Educational Detail

Ph.D. in Materials Science and Engineering, Focus on Gradient Nanostructures.

Master’s Degree in Materials Engineering, Specialized in Metal Surface Strengthening Techniques.

Bachelor’s Degree in Mechanical Engineering, Emphasis on Material Fatigue and Wear Resistance.

Professional Experience

Dr. Zhao is an Assistant Professor at the Taiyuan University of Technology, where he leads groundbreaking research on material surface engineering and gradient nanostructures. He has hosted and contributed to multiple high-impact research projects, including the prestigious National Science Foundation CAREER program (Grant No. CMMI 1847247) and the National Natural Science Foundation of China (Grant No. 52405403). Dr. Zhao has trained a number of master’s students, equipping them with expertise in advanced material science techniques.

Research Interests

Dr. Zhao’s research focuses on:

Gradient nanostructures for improving wear and fatigue resistance in metals.

Surface strengthening methods using multi-energy fields, including electric pulse-assisted plastic deformation.

Application of innovative techniques for improving metal serviceability in aviation, aerospace, and nuclear industries.

 

Top Notable Publications

Improvement of Corrosion and Wear Resistances of 300M Ultra High Strength Steel by Low Temperature Cathode Assisted Plasma Nitriding

Authors: Zhao, W., Liu, D., Hao, Z., Liu, Q., Zhao, J.

Journal: Surface and Coatings Technology

Year: 2024

Volume: 479, Article ID: 130518

Citations: 3

Influence of Pre-corrosion and Pre-fatigue on Fretting Fatigue Behavior of 30CrMnSiA Bolt Steel

Authors: Yang, T., Luo, W., Feng, L., Deng, W., Zhang, C.

Journal: Cailiao Daobao/Materials Reports

Year: 2024

Volume: 38(23), Article ID: 24030063

Citations: 0

Rapid Formation of a Surface Ceramic Protective Film on Ti-6Al-4V Alloy Following Laser-Assisted Ultrasonic Nanocrystal Surface Modification

Authors: Zhao, W., Liu, D., Ye, Y., Dong, Y., Ye, C.

Journal: Journal of Alloys and Compounds

Year: 2023

Volume: 965, Article ID: 171298

Citations: 4

Effect of the Ultrasonic Surface Rolling Process and Plasma Electrolytic Oxidation on the Hot Salt Corrosion Fatigue Behavior of TC11 Alloy

Authors: Shi, H., Liu, D., Jia, T., Zhang, X., Zhao, W.

Journal: International Journal of Fatigue

Year: 2023

Volume: 168, Article ID: 107443

Citations: 16

Improving Peening Efficacy Through High-Amplitude Short Duration Pulsed Current

Authors: Zhao, W., Liu, D., Zhang, H., Ye, C., Ding, H.

Journal: Journal of Alloys and Compounds

Year: 2022

Volume: 926, Article ID: 166987

Citations: 13

Improving Fatigue Performance of TiZrN/TiZr-Coated Ti-6Al-4V Alloy by Inducing a Stable Compressive Residual Stress Field

Authors: Ma, A., Liu, D., Zhang, X., Wang, R., He, G.

Journal: Journal of Alloys and Compounds

Year: 2022

Volume: 925, Article ID: 166799

Citations: 13

Effect of Pre-Hot Salt Corrosion on Hot Salt Corrosion Fatigue Behavior of the TC11 Titanium Alloy at 500 °C

Authors: Shi, H., Liu, D., Zhang, X., Jia, T., Zhao, W.

Journal: International Journal of Fatigue

Year: 2022

Volume: 163, Article ID: 107055

Citations: 16

Improvement of Traction-Traction Fatigue Properties of A100 Steel Plate-Hole-Structure by Double Shot Peening

Authors: Zhi, Y., Zhang, X., Liu, D., Wang, J., Cheng, S.

Journal: International Journal of Fatigue

Year: 2022

Volume: 162, Article ID: 106925

Citations: 11

Effect of Plasma Electrolytic Oxidation on the Hot Salt Corrosion Fatigue Behavior of the TC17 Titanium Alloy

Authors: Shi, H., Liu, D., Zhang, X., Li, M., He, Y.

Journal: Materials and Corrosion

Year: 2022

Volume: 73(4), Pages: 558–572

Citations: 8

Fatigue Performance Improvement of 7075-T651 Aluminum Alloy by Ultrasonic Nanocrystal Surface Modification

Authors: Zhang, R., Chiang, R., Ren, Z., Dong, Y., Ye, C.

Journal: Journal of Materials Engineering and Performance

Year: 2022

Volume: 31(3), Pages: 2354–2363

Citations: 5

Conclusion

Dr. Zhao exemplifies innovation, excellence, and leadership in engineering research. His breakthroughs in gradient nanostructures and metal strengthening systems hold transformative potential across multiple industries, making him an ideal candidate for the Best Researcher Award. His dedication to advancing knowledge and his substantial impact on engineering and material sciences underscore his suitability for this recognition.

 

 

 

 

 

 

 

 

 

 

 

 

Jian-Fei Sun | Engineering | Best Researcher Award

Posted on by Physicist Particle

Assoc. Prof. Dr. Jian-Fei Sun | Engineering | Best Researcher Award

Assoc. Prof. Dr Jian-Fei Sun, Qingdao University of Technology, China

Dr. Jian-Fei Sun is an Associate Professor at Qingdao University of Technology, specializing in chemical engineering with a focus on green solvent technology and chemical equipment. His research has led to several SCI/EI publications and collaborations with industry, advancing environmentally sustainable solutions in chemical processes.

PROFILE

Orcid Profile

Scopus Profile

Educational Details

Assoc. Prof. Dr. Jian-Fei Sun completed his Bachelor’s degree at Shandong Normal University in 2016, followed by a Master’s degree from Inner Mongolia University of Technology in 2019. He earned his Ph.D. from Dalian University of Technology in 2023, showcasing a solid academic progression in engineering and chemical sciences. As of September 2024, Dr. Sun is a post-doctoral researcher and visiting scholar in the Department of Chemical Engineering at Qingdao University of Science and Technology.

Professional Experience

Dr. Sun is an Associate Professor at the School of Mechanical and Automotive Engineering, Qingdao University of Technology, where he has developed expertise in gas adsorption, green solvents, and chemical process equipment. His collaborations extend to the Chinese Chemical Society and the China Occupational Safety and Health Association, where he is an active member.

Research Interest

Thermodynamics and Applications of Green Solvents: Involving supercritical and CO2-expanded liquids, critical for eco-friendly chemical processes.

Nanomaterial Synthesis and Catalysis: Focused on catalytic conversion and pretreatment of biomass.

Chemical Engineering Equipment Design: Including innovations in vaporization, heat exchange, and coating processes.

Research Innovations

Dr. Sun’s research is pioneering in green solvent technology, encompassing supercritical fluids, CO2-expanded liquids, and ionic liquids. His work emphasizes the synthesis of nanomaterials, catalytic conversion of lignocellulosic biomass, and advanced chemical engineering equipment design. Notable projects include submerged combustion vaporizers, heat exchangers, jet cavitation cleaning, and supercritical cleaning technologies.

Top Notable Publications

Chen, X., Sun, J., Yu, K., Wu, J., & Yin, J. (2024). Design of novel bracket structure for falling film devolatilizer and numerical simulation of its film-forming property. Chemical Engineering Journal, 499, 156317.

Citations: 0

Sun, J., Yu, K., Zhou, D., Sun, H., & Wu, J. (2024). Continuous process for CO2 cycloaddition reaction in a fixed bed reactor: Kinetic model of reaction transport. Chemical Engineering Science, 283, 119415.

Citations: 2

Zhou, D., Sun, J., Xue, M., Xu, Q., & Yin, J. (2024). Imidazole based ionic liquid grafted graphene for enhancing the new green conversion process of carbon dioxide. Journal of Cleaner Production, 434, 140083.

Citations: 5

Sun, H., Qi, J., Sun, J., Wu, J., & Yin, J. (2024). Solubility of iron(III) and nickel(II) acetylacetonates in supercritical carbon dioxide. Chinese Journal of Chemical Engineering, 65, 29–34.

Citations: 0

Chen, X., Sun, J., Wu, J., Zhang, Y., & Yin, J. (2023). Simulation study on mass transfer characteristics and disk structure optimization of a rotating disk reactor with high viscosity region. Journal of Applied Polymer Science, 140(48), e54717.

Citations: 1

Chen, X., Wu, J., Sun, J., Yu, K., & Yin, J. (2023). Numerical investigation of film-forming characteristics and mass transfer enhancement in horizontal polycondensation kettle. Chinese Journal of Chemical Engineering, 63, 31–42.

Citations: 0

Li, X., Sun, J., Xue, M., Wu, J., & Yin, J. (2023). The imidazole ionic liquid was chemically grafted on SBA-15 to continuously catalyze carbon dioxide to prepare propylene carbonate. Journal of Environmental Chemical Engineering, 11(5), 110438.

Citations: 9

Sun, J.-F., Chen, X.-P., Li, X.-T., Li, L., & Yin, J.-Z. (2023). Theoretical study of supported ionic liquid membrane reaction and transport for CO2 cycloaddition reaction. Chemical Engineering Journal, 470, 144299.

Citations: 2

Yu, K., Liu, J., Sun, J., Shen, Z., & Yin, J. (2023). Study of polyester degradation by sub/supercritical ethanol and enhancement of carbon dioxide. Journal of Supercritical Fluids, 194, 105837.

Citations: 7

Conclusion

Dr. Sun has published numerous SCI and EI-indexed papers and collaborated with chemical enterprises to secure research funding. His contributions emphasize his dedication to both academic excellence and real-world applications, reinforcing his suitability for the Best Researcher Award through innovation and impactful research in sustainable chemical processes.

 

 

 

Sowon Choi | Engineering | Women Researcher Award

Posted on by Physicist Particle

Dr. Sowon Choi | Engineering | Women Researcher Award

Dr. Sowon  Choi, Pohang University of Science and Technology, South Korea

Dr. sowon choi is a research professor at the Graduate Institute of Ferrous and Eco Materials Technology (GIFT) at Pohang University of Science and Technology (POSTECH), South Korea. Her research integrates data-driven project management methodologies through artificial intelligence (AI) and unstructured text data analysis, particularly within big data environments. Dr. choi’s work is grounded in her comprehensive experience in both onshore and offshore EPC (Engineering, Procurement, and Construction) projects, with specialized expertise in contract negotiation and project management. Her academic focus is complemented by a solid background in strategic management, planning, and marketing.

PROFILE

Orcid Profile

Educational Details

Ph.D. in Plant System Engineering (PSE), POSTECH, 2022

Master of Science in Plant System Engineering (PSE), POSTECH, 2015

Bachelor of Commerce, Double Major in Marketing & International Business, University of Auckland, 2005

Professional Experience

Dr. choi has a diverse professional background, which spans across various industries and roles. She currently serves as a research professor and postdoctoral research fellow at POSTECH, a position she has held since 2022. Before this, Dr. choi held leadership roles in prominent South Korean companies. From 2012 to 2016, she was Principal Manager at Taekyung Heavy Industries Co., Ltd., where she played a key role in managing large-scale projects. Additionally, she has experience as a Principal Consultant with Korea PMI Consulting Group and as a Principal Researcher with Korea Marketing and Retailing Consulting. Early in her career, Dr. choi worked as an Assistant Manager at Paris Croissant Co., Ltd.

Research Interest

 

AI-driven project management and analysis of unstructured text data

Big data applications in EPC project management

Strategic and marketing planning within the engineering and technology sectors

Top Notable Publications

Auto-Routing Systems (ARSs) with 3D Piping for Sustainable Plant Projects Based on Artificial Intelligence (AI) and Digitalization of 2D Drawings and Specifications

Authors: To be determined

Journal: Sustainability

Date: 2024-03-27

DOI: 10.3390/su16072770

Development of Cycloid-Shaped Roll Charging Chute for Sintering Process for Energy Decarbonization and Productivity Improvement in Steel Plants

Authors: To be determined

Journal: Energies

Date: 2024-03-23

DOI: 10.3390/en17071536

Prediction Modeling of Flue Gas Control for Combustion Efficiency Optimization for Steel Mill Power Plant Boilers Based on Partial Least Squares Regression (PLSR)

Authors: To be determined

Journal: Energies

Date: 2023-09-30

DOI: 10.3390/en16196907

A Question-Answering Model Based on Knowledge Graphs for the General Provisions of Equipment Purchase Orders for Steel Plants Maintenance

Authors: To be determined

Journal: Electronics

Date: 2023-06-01

DOI: 10.3390/electronics12112504

Modeling of Predictive Maintenance Systems for Laser-Welders in Continuous Galvanizing Lines Based on Machine Learning with Welder Control Data

Authors: To be determined

Journal: Sustainability

Date: 2023-05-07

DOI: 10.3390/su15097676

A Prediction Model for Spot LNG Prices Based on Machine Learning Algorithms to Reduce Fluctuation Risks in Purchasing Prices

Authors: To be determined

Journal: Energies

Date: 2023-05

DOI: 10.3390/en16114271

Machine Learning-Based Tap Temperature Prediction and Control for Optimized Power Consumption in Stainless Electric Arc Furnaces (EAF) of Steel Plants

Authors: To be determined

Journal: Sustainability

Date: 2023-04-08

DOI: 10.3390/su15086393

Knowledge Retrieval Model Based on a Graph Database for Semantic Search in Equipment Purchase Order Specifications for Steel Plants

Authors: To be determined

Journal: Sustainability

Date: 2023-04-06

DOI: 10.3390/su15076319

An AI-Based Automatic Risks Detection Solution for Plant Owner’s Technical Requirements in Equipment Purchase Order

Authors: To be determined

Journal: Sustainability

Date: 2022-08-12

DOI: 10.3390/su141610010

Contractor’s Risk Analysis of Engineering Procurement and Construction (EPC) Contracts Using Ontological Semantic Model and Bi-Long Short-Term Memory (LSTM) Technology

Authors: To be determined

Journal: Sustainability

Date: 2022-06-06

DOI: 10.3390/su14116938

The Engineering Machine-Learning Automation Platform (EMAP): A Big-Data-Driven AI Tool for Contractors’ Sustainable Management Solutions for Plant Projects

Authors: To be determined

Journal: Sustainability

Date: 2021-09

DOI: 10.3390/su131810384

AI and Text-Mining Applications for Analyzing Contractor’s Risk in Invitation to Bid (ITB) and Contracts for Engineering Procurement and Construction (EPC) Projects

Authors: So Won Choi (and additional authors as listed in the article)

Journal: Energies

Date: 2021-07-30

DOI: 10.3390/en14154632

Conclusion

Dr. Sowon Choi’s extensive background in data analysis, project management, and strategic planning, combined with her advanced research in AI and EPC projects, makes her an exemplary candidate for the Best Researcher Award. Her innovative work aligns closely with the award criteria, addressing sustainability, efficiency, and technological advancement in project management. Given her diverse experience and strong academic foundation, she demonstrates a well-rounded expertise that positions her as a compelling candidate for this honor.