Yun TIAN | | Engineering | Best Researcher Award

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Dr. Yun TIAN | Engineering | Best Researcher Award

Lecture at Shaoxing University, China

Dr. Yun Tian is a dedicated researcher and lecturer at Shaoxing University, China. She earned her PhD from the Institute of Rock and Soil Mechanics at the Chinese Academy of Sciences. Renowned for her innovative contributions to geotechnical engineering, Dr. Tian focuses on deformation and failure mechanisms in soft rock tunnels, along with the development of yielding support technologies. She has published extensively in internationally recognized journals and has served as a reviewer for top-tier publications like Journal of Rock Mechanics and Geotechnical Engineering. Her work bridges academia and industry, evident in her numerous research projects and collaborations. Dr. Tian is also an active member of esteemed professional organizations, including the Chinese Society for Rock Mechanics and Engineering (CSRME).

Professional Profile

Education

Dr. Tian completed her undergraduate studies in China before earning her PhD from the Chinese Academy of Sciences, a globally recognized institution for scientific research. Her doctoral studies were rooted in rock and soil mechanics, where she explored experimental and numerical methods to address large deformation challenges in geotechnical engineering. Her advanced training in utilizing innovative technologies like 3D printing for experimental research further distinguishes her academic journey, emphasizing a commitment to groundbreaking methodologies and real-world applications.

Professional Experience

Currently a lecturer at Shaoxing University, Dr. Tian has successfully led eight major research projects, securing competitive funding from the National Natural Science Foundation of China and the Zhejiang Provincial Postdoctoral Science Foundation. She has also collaborated with the Technical University of Munich, exemplifying her capacity for fostering international academic partnerships. Her consultancy work on six industry projects underscores her ability to translate research into practical solutions, bridging the gap between theoretical insights and engineering applications.

Research Interests

Dr. Tian’s research focuses on geotechnical engineering, particularly the deformation and failure mechanisms of soft rock tunnels. She has pioneered the use of 3D-printing sand core technology to simulate rock-like specimens, offering a novel method to study layered rock deformation and anisotropic behaviors. Her interests extend to the application of porous geopolymers, digital imaging correlation technology, and energy absorption mechanisms for large deformation engineering. These studies have profound implications for tunnel engineering and the design of yielding support systems, providing innovative solutions to longstanding challenges.

Awards and Honors

Dr. Tian has received numerous accolades for her groundbreaking work in geotechnical engineering. Notable awards include funding from the prestigious National Natural Science Foundation of China and the Zhejiang Provincial Postdoctoral Science Foundation. Her innovative methodologies have garnered recognition within academic and industrial circles, cementing her reputation as a leader in her field. Additionally, her roles as a reviewer for renowned journals highlight her contributions to advancing the geotechnical discipline and fostering a culture of academic excellence.

Conclusion

Dr. Yun Tian’s innovative research, impactful publications, and international collaborations make her a strong contender for the Best Researcher Award. Addressing the aforementioned areas for improvement would enhance her profile further and solidify her standing as a leader in geotechnical engineering research.

Publications Top Noted

  • Wu, F., Wan, W., Tian, Y., Yang, Y., Yang, B.
    • Year: 2025
    • Title: Analysis of Deformation Characteristics of Layered Rock Tunnel Excavation Based on Statistical Mechanics of Rock Masses
    • Journal: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    • Citations: 0
  • Shu, X., Chen, W., Qiu, X., Wu, G., Tian, Y.
    • Year: 2024
    • Title: Anchorage Mechanism and Parametric Analysis of a Novel Interface-Shear-Stress-Dispersing Bolt
    • Journal: Tunnelling and Underground Space Technology
    • Citations: 1
  • Tian, Y., Chen, W., Tian, H., He, L., Huang, M.
    • Year: 2024
    • Title: Physical Model Test and Application of 3D Printing Rock-Like Specimens to Laminated Rock Tunnels
    • Journal: Journal of Rock Mechanics and Geotechnical Engineering
    • Citations: 0
  • Shu, X.-Y., Tian, H.-M., Chen, W.-Z., Zhang, C.-X., Zhang, T.
    • Year: 2024
    • Title: Optimization of Design Parameters for Support Scheme of a High Compression Cushioning Layer in a Diversion Tunnel
    • Journal: Yantu Lixue/Rock and Soil Mechanics
    • Citations: 0
  • Tian, H., Shu, X., Chen, W., Yang, D., Tian, Y.
    • Year: 2024
    • Title: Impact of Structural Anisotropy on Compressive Creep Behaviors of Composite Rocks Based on Digital Image Correlation Technology
    • Journal: Bulletin of Engineering Geology and the Environment
    • Citations: 0
  • Shu, X., Zhu, Z., Li, A., Tian, Y.
    • Year: 2024
    • Title: Stress Analysis of Full-Length Bond Bolt Considering Shear Deformation of Grouting Layer
    • Journal: Chinese Journal of Underground Space and Engineering
    • Citations: 0
  • Tian, Y., Wu, F., He, L., Huang, M., Chen, W.
    • Year: 2023
    • Title: Investigation of 3D Printing Sand Core Technology on the Mechanical Behaviors of Soft-Hard Interbedded Rock Masses
    • Journal: Journal of Materials in Civil Engineering
    • Citations: 3
  • Shu, X., Tian, H., Chen, W., Tian, Y., Li, Z.
    • Year: 2023
    • Title: Model Tests for Deformation and Failure Characteristics During Layered Soft Rock Tunnel Excavation Under Different Horizontal Stress Conditions
    • Journal: Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering
    • Citations: 3
  • Zeng, H., Qu, S., Tian, Y., Hu, Y., Li, Y.
    • Year: 2023
    • Title: Recent Progress on Graphene Oxide for Next-Generation Concrete: Characterizations, Applications and Challenges
    • Journal: Journal of Building Engineering
    • Citations: 33
  • Zhu, Z.-D., Shu, X.-Y., Li, Z., Tian, H.-M., Tian, Y.
    • Year: 2023
    • Title: Erratum to: Stress Analysis of Full-Length Grouted Bolt Under Shear Deformation of Anchor Interface
    • Journal: Journal of Mountain Science
    • Citations: 1

 

 

Jian-Fei Sun | Engineering | Best Researcher Award

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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

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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.

 

 

 

Lakshakoti Bochu | Engineering | Best Researcher Award

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Lakshakoti Bochu | Engineering | Best Researcher Award

Orcid Profile

Educational Details:

Mr. Lakshakoti Bochu is currently pursuing a Ph.D. in Electronics and Communication Engineering (ECE) at the National Institute of Technology, Warangal, since 2022. He holds an M.Tech in VLSI and Embedded Systems from Kakatiya Institute of Technology & Sciences, where he graduated with 62.70% in 2014. Lakshakoti completed his B.Tech in ECE at SR Engineering College, achieving 66.24% in 2012. His foundational education includes an Intermediate degree in Mathematics, Physics, and Chemistry from A.P.S.W.R.S/Jr. College, Jakaram, with a notable score of 86.8% in 2008, and an SSC from A.P.S.W.R.S School, Jakaram, where he scored 83.3% in 2006. His strong academic background underpins his research pursuits in engineering.

Technical Skills 

Mr. Lakshakoti Bochu possesses a strong technical skill set that complements his academic and research endeavors. He is proficient in programming with the C language and is experienced with a variety of tools, including Arduino IDE, Xilinx 9.2i, Vivado, and COMSOL, as well as design and simulation platforms like TinkerCAD, Multisim, and Microwind. His expertise extends to data analysis and networking tools such as MATLAB, NS2, and Wireshark. Additionally, he is skilled in using software packages like Mendeley and Origin, and is familiar with both Linux and Windows operating systems, including computer hardware setups. With a typing speed of 32 words per minute, Lakshakoti efficiently manages technical documentation and communication in his work.

Work Experience

Mr. Lakshakoti Bochu is currently a Junior Research Fellow at the National Institute of Technology, Warangal, where he has been conducting research since August 2022. His work focuses on energy harvesting and storage, flexible electronics, and biomedical sensors, including the development of innovative flexible and wearable triboelectric nanogenerators. Prior to this position, he served as an Assistant Professor at Balaji Institute of Technology and Science, Warangal, from September 2021 to August 2022. He also held a similar role at Talla Padmavathi College of Engineering, Kazipet, from March 2016 to September 2021. During his tenure in academia, Lakshakoti managed various subjects and labs, teaching courses such as VLSI Design, Digital Signal Processing (DSP), and Digital Image Processing (DIP), while also coordinating departmental activities and student engagement. His extensive teaching and research experience reflects his dedication to advancing knowledge in engineering and technology.

Top Notable Publications

Lakshakoti, B. (2024). Innovative triboelectric nanogenerator (TENG) design utilizing a stress ball. Engineering Research Express, 6(1). https://doi.org/10.1088/2631-8695/ad2245

Lakshakoti, B. (2024). Innovative integration of triboelectric nanogenerators into signature stamps. Engineering, 2024. https://doi.org/10.3390/eng5020052

Lakshakoti, B. (2023). Facile direct growth of ZIF-67 metal-organic framework. ACS Sustainable Chemistry & Engineering, 11(47). https://doi.org/10.1021/acssuschemeng.3c05198

Lakshakoti, B. (2023). Enhancing triboelectric nanogenerator performance with metal-organic-framework-modified ZnO nanosheets. ACS Applied Nano Materials, 6(24). https://doi.org/10.1021/acsanm.3c03430

Lakshakoti, B. (2023). Transforming medical plastic waste into high-performance triboelectric nanogenerators. ACS Sustainable Chemistry & Engineering, 11(32). https://doi.org/10.1021/acssuschemeng.3c03136

Lakshakoti, B. (2023). Surface-engineered high-performance triboelectric nanogenerator. ACS Applied Engineering Materials, 1(10). https://doi.org/10.1021/acsaenm.3c00416

Lakshakoti, B. (2022). IoT surveillance robot using ESP-32 Wi-Fi CAM & Arduino. IJFANS Journal, 11(06). https://doi.org/10.48047/IJIEMR/V11/SPL

Lakshakoti, B. (2021). Design and implementation of RFID-GSM based signal jump e-challan system. pp. 10221–10229.

Lakshakoti, B. (2023). Object detection in motion estimation and tracking analysis for IoT devices. ResearchGate, 2023(9). https://doi.org/10.48047/IJIEMR/V11/SPL

Lakshakoti, B. (2021). Design of a high-speed N-bit Vedic multiplier using mux-based compressors. In Proceedings of ICMRCET-2020 (pp. [page numbers]). ISBN 978-93-5437-153-0.