Elżbieta Jarzębowska | Engineering | Best Researcher Award

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Prof. Elżbieta Jarzębowska | Engineering | Best Researcher Award

Prof. Elżbieta Jarzębowska at Warsaw University of Technology, Poland

Prof. Elżbieta M. Jarzębowska 🇵🇱 is a distinguished academic at the Warsaw University of Technology 🏫, serving in the Institute of Aeronautics and Applied Mechanics ✈️. With a strong foundation in mechanical engineering ⚙️, her research spans multibody systems dynamics, nonlinear and geometric control 🧠, and robotics 🤖, including UAVs and space systems 🚀. She has contributed to major international projects in the USA 🇺🇸 and UK 🇬🇧, working with Ford Motor Company 🚗 and Cranfield University 🎓. Author of 150+ papers 📚, she is also a dedicated editor 📝 and member of top engineering societies like ASME and IFToMM 🌍.

Professional Profile:

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🔹 Education and Experience 

🎓 Education

  • 🧠 B.S., M.S., Ph.D., D.Sc. in Mechanical Engineering from Warsaw University of Technology

  • 📚 Specialization in control and mechanics of constrained systems

💼 Experience

  • 🏫 Professor at Warsaw University of Technology

  • 🚗 Researcher at Ford Motor Company Research Laboratories, Dearborn, MI, USA

  • 🔧 Collaborator with Engineering Research Centre for Reconfigurable Machining Systems, University of Michigan

  • 🎓 Visiting researcher at Cranfield University, UK

  • 🌍 Member of Polish Academy of Sciences Committee of Mechanics, ASME, and IFToMM

🔹 Professional Development 

Prof. Jarzębowska has demonstrated exceptional growth through global collaboration 🌍, engaging in cutting-edge research in the US and UK. Her work with Ford Motor Company 🚙 and the University of Michigan 🧪 enhanced her real-world application of dynamic modeling and control theories. As an academic, she consistently contributes to curriculum development 📖, authorship, and editorial roles for high-impact journals 📝. Her active involvement in ASME, IFToMM, and Polish scientific communities 💼 showcases her commitment to lifelong learning and interdisciplinary exchange 🔄. She mentors young researchers 🎓 and advances mechanical control theory with every step 🚀.

🔹 Research Focus 

Prof. Jarzębowska’s research focuses on the modeling, dynamics, and control of multibody systems ⚙️, particularly those with constraints such as nonholonomic and underactuated systems 🔁. Her expertise extends to nonlinear and optimal control methods 🧠 applied to advanced robotic 🤖, aerospace ✈️, space 🚀, and underwater systems 🌊. Her work also involves geometric control theory 📐 and its integration into real-world applications like UAVs 🛸 and intelligent machines. By bridging fundamental theory with practical implementation 🔧, she addresses challenges in dynamic optimization, system stability, and intelligent control architectures across complex mechanical platforms 🌐.

🔹 Awards and Honors 

🏅 Member, Committee of Mechanics, Polish Academy of Sciences
🎖️ Associate Editor, Journal of Theoretical and Applied Mechanics
🏅 Associate Editor, ASME Journal of Computational and Nonlinear Dynamics
🏅 Associate Editor, Journal of Nonlinear Complex and Data Science
📘 Author of a monograph and numerous educational resources in mechanics
📚 Published over 150 research papers in international journals

Publication Top Notes

1. Application of Electroless Deposition for Surface Modification of the Multiwall Carbon Nanotubes

  • Journal: Chemical Physics Letters

  • Year: 2018

  • DOI: 10.1016/j.cplett.2018.04.056

  • Focus: Surface modification using electroless techniques applied to multiwall carbon nanotubes.

2. Hydrogen Disproportionation Phase Diagram and Magnetic Properties for Nd₁₅Fe₇₉B₆ Alloy

  • Journal: Journal of Rare Earths

  • Year: 2016

  • DOI: 10.1016/S1002-0721(16)60104-7

  • Focus: Thermodynamic and magnetic properties of a rare earth alloy involving hydrogen interactions.

3. Influence of Stirring Conditions on Ni/Al₂O₃ Nanocomposite Coatings

4. TEM & AFM – Complementary Techniques for Structural Characterization of Nanobainitic Steel

  • Journal: Archives of Metallurgy and Materials

  • Year: 2015

  • DOI: 10.1515/amm-2015-0278

  • Focus: Use of microscopy techniques to analyze nanobainitic steels.

5. Characterization of Nanobainitic Structure in 100CrMnSi6-4 Steel After Industrial Heat Treatment

  • Journal: Archives of Metallurgy and Materials

  • Year: 2014

  • DOI: 10.2478/amm-2014-0278

  • Focus: Microstructural evolution in high-strength steels after specific thermal treatments.

6. Influence of Milling Media on Mechanically Exfoliated MoS₂

  • Journal: Nanomaterials and Nanotechnology

  • Year: 2014

  • DOI: 10.5772/59903

  • Focus: Impact of milling conditions on the exfoliation efficiency of molybdenum disulfide.

7. Measurements of Strain in AlGaN/GaN HEMT Structures Grown by Plasma-Assisted MBE

  • Journal: Journal of Crystal Growth

  • Year: 2014

  • DOI: 10.1016/j.jcrysgro.2014.01.061

  • Focus: Strain analysis in GaN-based high-electron-mobility transistors using molecular beam epitaxy.

8. Nanobainitic Structure Recognition and Characterization Using Transmission Electron Microscopy

  • Journal: Archives of Metallurgy and Materials

  • Year: 2014

  • DOI: 10.2478/amm-2014-0277

  • Focus: Characterization of nanostructured steels via TEM.

9. HRTEM and LACBED of Zigzag Boundaries in GaN Epilayers

10. Identification of Phases in Alloy Steels After Quenching and Isothermal Quenching

Conclusion:

Prof. Elżbieta M. Jarzębowska stands out as a globally recognized, multidisciplinary researcher whose academic rigor, innovative contributions, and international impact make her an excellent candidate for the Best Researcher Award. Her blend of theoretical advancement and engineering application supports the highest standards of research excellence.

Ricardo Alberto Rodríguez-Carvajal | Technology | Best Researcher Award

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Prof. Dr. Ricardo Alberto Rodríguez-Carvajal | Technology | Best Researcher Award

Research Professor at Universidad de Guanajuato, Mexico

Dr. Ricardo Alberto Rodríguez Carvajal is a distinguished professor and researcher at the Universidad de Guanajuato 🇲🇽. With a strong background in industrial engineering, strategic planning, and technology management, he has contributed significantly to academia and industry. His expertise spans sustainable development, energy security, and social innovation ⚡🌍. He has served in leadership roles at Universidad de Sonora and Universidad de Guanajuato, guiding doctoral research and technology transfer. As a member of the Sistema Nacional de Investigadores (SNI) and the National Solar Energy Association, he actively promotes renewable energy solutions ☀️🔬.

Professional Profile

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Education & Experience 📚👨‍🏫

  • Doctorate in Strategic Planning & Technology Management, UPAEP (2013) 🎓
  • Master’s in Computer Science, Instituto Tecnológico de Hermosillo (2006) 💻
  • Industrial & Systems Engineering, Universidad de Sonora (1999) 🏭
  • Postdoctoral Researcher, CONAHCYT – Universidad de Sonora (2023) 🏡🌱
  • Professor, Universidad de Guanajuato (2016–present) 👨‍🏫
  • Professor, Universidad Virtual del Estado de Guanajuato (2021–present) 🌐
  • Guest Lecturer, Instituto Politécnico Nacional (2021–2022) 🎓
  • Director of Innovation, Grupo Industrial SOGO (2015–2017) 🚀

Professional Development 🚀📖

Dr. Rodríguez Carvajal has dedicated his career to innovation, academia, and technology transfer. As an SNI Level 1 researcher, he contributes to the advancement of renewable energy and industrial engineering ⚡🏭. He has played a crucial role in technology commercialization, helping industries develop solar energy solutions ☀️. He also works as an academic advisor for doctoral and postgraduate students at UPAEP 📚. His leadership extends to editorial roles, project management, and participation in international networks like IATED and the National Association of Solar Energy 🌍. His goal is to bridge research and industry through innovation and sustainability.

Research Focus 🔬🌱

Dr. Rodríguez Carvajal’s research revolves around renewable energy, sustainability, and industrial innovation ⚡🏭. He specializes in solar energy technologies ☀️, helping develop tracking systems for photovoltaic panels. His work includes strategic planning for sustainable development 🌍, addressing energy, water, and food security challenges in Mexico. He is also involved in social innovation projects, leveraging technology to improve conditions in indigenous communities 🏡. His interdisciplinary approach combines engineering, environmental science, and policy to create impactful solutions. Through international collaborations, he contributes to the future of clean energy and industrial efficiency 🌍🔋.

Awards & Honors 🏆🎖

  • Member of Sistema Nacional de Investigadores (SNI), Level 1 (2023-2027, 2020-2022, 2013-2016) 🏅
  • PRODEP Recognition for Academic Excellence (2018-2021, 2015-2018) 🏆
  • National Researcher Fellowship, CONACyT (2008-2012) 🎓
  • PROMEP Doctoral Studies Fellowship (2008-2013) 🎖
  • Reviewer for Engineering Accreditation Council (CACEI) (2008-2014) 📜
  • Editorial Secretary, Renewable Energy Journal (2022-2024) 📰
  • Technical Advisor, National Evaluation Center (CENEVAL) (2002-2014) 🏛

Publication Top Notes

  • Absorption Capacities of Digital Transformation Technologies in the Agroindustry of Guanajuato

    • Journal: Revista de Gestão Social e Ambiental
    • Year: 2024
    • DOI: 10.24857/rgsa.v18n9-159
    • Citation: Author(s). “Absorption Capacities of Digital Transformation Technologies in the Agroindustry of Guanajuato.” Revista de Gestão Social e Ambiental, vol. 18, no. 9, 2024, DOI: 10.24857/rgsa.v18n9-159.

  • Perspective of Water-Use Programs in Agriculture in Guanajuato

    • Journal: Agriculture
    • Year: 2024
    • DOI: 10.3390/agriculture14081258
    • Citation: Author(s). “Perspective of Water-Use Programs in Agriculture in Guanajuato.” Agriculture, vol. 14, no. 8, 2024, DOI: 10.3390/agriculture14081258.

  • Enhancing the Productivity of Mexican Agriculture Through the Provision of Industry 4.0 Training for Local Farmers

    • Conference: ICERI 2023
    • Year: 2023
    • DOI: 10.21125/iceri.2023.0549
    • Citation: Author(s). “Enhancing the Productivity of Mexican Agriculture Through the Provision of Industry 4.0 Training for Local Farmers.” ICERI 2023 Proceedings, 2023, DOI: 10.21125/iceri.2023.0549.

  • Carbón Vegetal de Marabú, Un Aporte a la Energía Renovable

    • Journal: Energías Renovables
    • Year: 2023
    • DOI: 10.59730/rer.v10n50a1
    • Citation: Ricardo Alberto Rodríguez-Carvajal. “Carbón Vegetal de Marabú, Un Aporte a la Energía Renovable.” Energías Renovables, vol. 10, no. 50, 2023, DOI: 10.59730/rer.v10n50a1.

  • Correlating Disorder Microstructure and Magnetotransport of Carbon Nanowalls

    • Journal: Applied Sciences
    • Year: 2023
    • DOI: 10.3390/app13042476
    • Citation: Author(s). “Correlating Disorder Microstructure and Magnetotransport of Carbon Nanowalls.” Applied Sciences, vol. 13, no. 4, 2023, DOI: 10.3390/app13042476.

Shihao Zhang | Nanostructures | Best Researcher Award

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Dr. Shihao Zhang | Nanostructures | Best Researcher Award

Specially Appointed Assistant Professor at Osaka University, Japan.

🎓 Dr. Shihao Zhang (born August 1993) is a Specially Appointed Assistant Professor at Osaka University, Japan, specializing in computational materials science. His research spans materials theory, mechanical properties, crystal defects, nanostructures, and machine learning applications. He earned his Ph.D. in Materials Science from Beihang University and has held prestigious research positions, including a JSPS Postdoctoral Fellowship. Dr. Zhang has contributed significantly to high-throughput materials simulations, publishing 34+ papers in leading journals like npj Computational Materials and Acta Materialia, accumulating 750+ citations (H-index: 13).

Professional Profile:

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Suitability for Best Researcher Award – Dr. Shihao Zhang

Dr. Shihao Zhang stands out as a strong candidate for the Best Researcher Award due to his remarkable contributions to computational materials science. His expertise in materials theory, nanostructures, and machine learning-driven materials design has significantly advanced the field. His research has led to high-throughput materials simulations, fundamental discoveries in mechanical properties, and the development of innovative software tools.

Education & Experience

📚 Education:

  • 🎓 Ph.D. in Materials Science – Beihang University, 2021
  • 📊 B.S. in Materials Science & Engineering & Applied Mathematics – Dual degrees

🧑‍🏫 Experience:

  • 🔬 Specially Appointed Assistant Professor – Osaka University, Japan
  • 🏅 JSPS Postdoctoral Fellow – Osaka University
  • 💻 Researcher – IT4Innovations, Czech National Supercomputing Centre

Professional Development

🧪 Dr. Shihao Zhang has made significant contributions to computational materials science through advanced modeling, high-throughput simulations, and machine learning techniques. He has developed innovative software tools to enhance material design and prediction capabilities. 📈 His work bridges fundamental materials theory with practical applications, focusing on mechanical properties, plasticity, and nanostructures. 🔗 His research collaborations span multiple international institutions, fostering advancements in computational techniques and supercomputing applications. 🏆 With 34+ publications in prestigious journals and an H-index of 13, Dr. Zhang continues to drive impactful discoveries in materials science.

Research Focus

🛠️ Dr. Zhang’s research lies at the intersection of materials theory, mechanical properties, crystal defects, plasticity, nanostructures, and computational modeling. His expertise in machine learning-driven materials design enables the development of advanced materials with superior mechanical performance. 💡 His work utilizes high-throughput computational methods to predict material behavior at the atomic and nanoscale levels. 🔬 By integrating data-driven approaches with physics-based simulations, he enhances material discovery and optimization. 🌍 His research is essential for innovations in aerospace, electronics, and structural materials, pushing the boundaries of next-generation materials engineering.

Awards & Honors

🏅 JSPS Postdoctoral Fellowship – Japan Society for the Promotion of Science
📜 Multiple Research Grants – Supporting computational materials research
📖 34+ High-Impact Publications – npj Computational Materials, Acta Materialia, Physical Review B
📊 750+ Citations (H-index: 13) – Recognized research contributions
💡 Developed Software Tools – For high-throughput materials simulations
🌍 International Research Collaborations – Osaka University, IT4Innovations, and more

Publication Top Notes

  • Title: Temperature and loading-rate dependent critical stress intensity factor of dislocation nucleation from crack tip: Atomistic insights into cracking at slant twin boundaries in nano-twinned TiAl alloys

    • Authors: R. Fu, Rong; Z. Rui, Zhiyuan; J. Du, Junping; F. Meng, Fanshun; S. Ogata, Shigenobu
    • Year: 2025

  • Title: A dislocation perspective on heterointerfacial strengthening in nanostructured diamond and cubic boron nitride composites

    • Authors: H. Wei, Hanqing; H. Zhan, Haifei; D. Legut, Dominik; S. Zhang, Shihao
    • Year: 2025

  • Title: Dislocation plasticity in c-axis nanopillar compression of wurtzite ceramics: A study using neural network potentials

    • Authors: S. Zhang, Shihao; S. Ogata, Shigenobu
    • Year: 2025

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

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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.