Simona Svozilová | Engineering | Best Researcher Award

Ms. Simona Svozilová | Engineering | Best Researcher Award

Ms. Simona Svozilová, University of West Bohemia, Czech Republic

Simona Svozilová is a doctoral researcher at the University of West Bohemia in Pilsen, Czechia, specializing in material recycling in metal additive manufacturing. With a strong academic foundation in mechanical engineering, she has contributed to international projects, including collaborative research with the National University of Colombia. Her professional experience as a research assistant at the Regional Technological Institute has honed her skills in surface engineering and project management. Passionate about advancing sustainable engineering practices, Simona has presented her work at international conferences and continues to explore innovative solutions in her field.

PROFILE

Orcid  Profile

Educational Detail

Doctoral Studies (Current)
University of West Bohemia, Pilsen, Czechia (09/2024 – Present)

Master’s Degree in Mechanical Engineering
University of West Bohemia, Pilsen, Czechia (09/2022 – 08/2024)

Thesis: The Influence of Material Recycling in Metal Additive Manufacturing

Two-month internship at the National University of Colombia, resulting in collaborative research and a paper presented at the Congreso Internacional de Materiales (CIM2024).

Bachelor’s Degree in Mechanical Engineering
University of West Bohemia, Pilsen, Czechia (08/2018 – 08/2022)

Graduation Certificate
Gymnázium Plzeň, Pilsen, Czechia (08/2013 – 05/2017)

Field of Study: Natural Sciences, Mathematics, and Statistics

Professional Experience

Research Assistant
Regional Technological Institute – University of West Bohemia, Pilsen, Czechia (07/2021 – Present)

Assisted in the preparation and implementation of national and international research projects.

Developed promotional materials and led small teams.

Conducted surface treatment processes and precision measurements in engineering.

Presented research findings at the International Materials Conference, building on an internship collaboration with Colombia.

Research Interests

Metal Additive Manufacturing and Material Recycling

Surface Engineering and Precision Measurement Techniques

International Collaboration in Engineering Research

Digital Skills

Microsoft Office Suite: Word, Excel, PowerPoint, Teams

Google Workspace: Google Drive, Gmail

Certifications and Honors

Certificate in Quality Assurance (Certified Quality Manager) – University of West Bohemia

 

Top Notable Publications

The article titled “Evaluation of Recycled and Reused Metal Powders for DMLS 3D Printing” was published in the journal Materials on December 18, 2024.

MDPI

Authors:

Simona Svozilová

Ivana Zetková

Juan Felipe Santa Marín

Jesús Arturo Torres Garay

Citation Details:

Materials, Volume 17, Issue 24, Article 6184

DOI: 10.3390/ma17246184

Conclusion

Ms. Simona Svozilová is an exemplary candidate for the Research for Best Researcher Award.
Her extensive academic foundation, significant research contributions, international
collaborations, and practical expertise position her as a forward-thinking researcher poised to
make transformative impacts in her field.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Charikleia Karakosta | Engineering | Best Researcher Award

Dr. Charikleia Karakosta | Engineering | Best Researcher Award

Dr Charikleia Karakosta, National Technical University of Athens, Greece

Dr. charikleia karakosta is a senior sustainable energy and climate change expert, currently affiliated with the Greek Public Employment Service at the Ministry of Labour and Social Security and ENVIROMETRICS S.A. She has extensive expertise in energy efficiency, green economic policies, and sustainable energy project management, further enriched by her teaching and research roles at various academic institutions.

PROFILE

Orcid Profile

Educational Details

B.Sc., M.Sc. in Chemical Engineering (Grade: 8.91/10), National Technical University of Athens (NTUA), Greece (1999-2004)

M.Sc. in Energy Production and Management (Grade: 8.67/10), NTUA (2004-2006)

Ph.D. in Electrical & Computer Engineering, NTUA (2005-2014)
PhD Thesis: “Integrated Methodology for the Decision Support of the Promotion of the Effective Technology Transfer within the frame of Climate Change” (Grade: 10/10)

Professional Experience

Dr. karakosta has served as a project coordinator and expert in energy efficiency and green economic policies at NTUA’s Decision Support Systems Lab (EPU-NTUA), where she collaborated with Prof. John Psarras. Since January 2024, she has worked as a senior sustainable energy expert and project manager at ENVIROMETRICS S.A. Her responsibilities include leading sustainable energy projects, overseeing environmental assessments, and developing climate-resilient energy strategies.

In academia, she is a postdoctoral researcher at the University of Macedonia, focusing on decision support systems for sustainable energy transitions. Dr. karakosta is also an adjunct lecturer, teaching courses in operations research, the Internet of Things, and sustainable energy at the University of West Attica and the Open University of Cyprus.

Research Interests

Dr. karakosta’s research spans energy management, climate change adaptation, decision support systems, and sustainable technology transfer. Her work integrates environmental policy with technical innovations for climate resilience and low-carbon transitions.

Awards and Scholarships

ECOPOLIS Science Award (2016) for her PhD research

Onassis Foundation Scholarships for Master’s and Doctoral studies (2005-2006, 2008-2010)

State Scholarship Foundation (IKY) for academic excellence (2002-2003)

D. Thomaidis Award for scientific publications (2004-2018)

 

Top Notable Publications

A Fuzzy PROMETHEE Method for Evaluating Strategies towards a Cross-Country Renewable Energy Cooperation: The Cases of Egypt and Morocco

Authors: charikleia karakosta et al.

Year: 2024

Journal: Energies

DOI: 10.3390/en17194904

Publisher: Multidisciplinary Digital Publishing Institute

Financing Sustainable Energy Efficiency Projects: The Triple-A Case

Authors: charikleia karakosta et al.

Year: 2021

Journal: Environmental Sciences Proceedings

DOI: 10.3390/environsciproc2021011022

Publisher: Multidisciplinary Digital Publishing Institute

An AHP-SWOT-Fuzzy TOPSIS Approach for Achieving a Cross-Border RES Cooperation

Authors: charikleia karakosta et al.

Year: 2020

Journal: Sustainability

DOI: 10.3390/su12072886

Publisher: Multidisciplinary Digital Publishing Institute

Analysis of Policy Scenarios for Achieving Renewable Energy Sources Targets: A Fuzzy TOPSIS Approach

Authors: charikleia karakosta et al.

Year: 2017

Journal: Energy and Environment

DOI: 10.1177/0958305X16685474

Publisher: SAGE Publications (via Scopus – Elsevier)

Exploring Opportunities and Risks for RES-E Deployment under Cooperation Mechanisms between EU and Western Balkans: A Multi-Criteria Assessment

Authors: charikleia karakosta et al.

Year: 2017

Journal: Renewable and Sustainable Energy Reviews

DOI: 10.1016/j.rser.2017.05.190

Publisher: Elsevier (via Scopus – Elsevier)

Renewable Energy Policy Dialogue towards 2030 – Editorial of the Special Issue

Authors: charikleia karakosta

Year: 2017

Journal: Energy and Environment

DOI: 10.1177/0958305X16685455

Publisher: SAGE Publications (via Scopus – Elsevier)

Conclusion

Dr. charikleia karakosta exemplifies a strong candidate for the Best Researcher Award due to her outstanding qualifications, impactful research in renewable energy policy and decision support, international recognition, and academic influence. Her continuous contributions, leadership in project management, dedication to teaching, and research accolades make her a distinguished figure in sustainable energy research.

 

 

 

Renwei Liu | Engineering | Excellence in Innovation Award

Dr. Renwei Liu | Engineering | Excellence in Innovation Award

Dr Renwei Liu, Jiangsu University of Science and Technology, China

Dr. Renwei Liu is a lecturer at Jiangsu University of Science and Technology, China, specializing in polar ships, ship-ice interaction, and marine engineering. His innovative research in peridynamics has made significant contributions to the understanding of ship-ice interactions, with numerous publications and patents. He is actively involved in both academic research and industry consultancy, working on cutting-edge projects related to Arctic operations and ice load modeling.

PROFILE

Google Scholar  Profile

Educational Details

Dr. Renwei Liu earned his Bachelor’s and Ph.D. degrees in Naval Architecture and Marine Engineering from Harbin Engineering University (2012-2021). His academic foundation laid the groundwork for his deep expertise in marine engineering, particularly in the field of polar ship design and the application of peridynamics in ship-ice interaction.

Professional Experience

Since 2021, Dr. Liu has been serving as a lecturer at the School of Naval Architecture and Marine Engineering, Jiangsu University of Science and Technology. His expertise spans various areas of naval architecture, with a particular focus on ship-ice interaction and polar ship technology. He has also contributed to consultancy and industry projects related to ice load prediction and anti-icing technologies for polar ships.

Research Interests

Dr. Liu’s primary research interests include the application of the peridynamics method in ship and marine structures, with a particular emphasis on polar ships, ice load prediction, and anti-icing technologies for Arctic operations. His work also extends to marine platform design and structural optimization for ice navigation.

Research and Innovations

Dr. Liu’s pioneering work includes introducing the peridynamics method for calculating ship ice loads, which led to the development of a numerical model for ship and ice interaction. This work resulted in the publication of the first paper in the field. His ongoing research projects include studies on the failure modes of sea ice and technologies for ice load modeling and anti-icing for Arctic operations. Notable ongoing projects include research funded by the National Natural Science Foundation of China and the Ministry of Science and Technology.

Collaborations

Dr. Liu has co-authored multiple papers with researchers from various institutions, exploring topics like sea ice structure interaction, ice load predictions, and thermomechanical removal of ice from frozen structures. Some of his prominent collaborations include publications in China Ocean Engineering and Ocean Engineering on topics like ice load prediction for ships and the dynamic response of offshore wind turbines under ice impact.

Patents

Dr. Liu holds several patents related to marine engineering, including inventions for ice recognition devices, adjustable towing systems for ice pools, and methods for measuring ice crack sizes using deep learning. His patent portfolio demonstrates his innovative approach to solving complex challenges in marine engineering and ice navigation.

Top Notable Publications

A review for numerical simulation methods of ship–ice interaction
Authors: Y. Xue, R. Liu, Z. Li, D. Han
Published in: Ocean Engineering
Year: 2020
Citations: 84
DOI: 10.1016/j.oceaneng.2020.107853

Simulation of ship navigation in ice rubble based on peridynamics
Authors: R. W. Liu, Y. Z. Xue, X. K. Lu, W. X. Cheng
Published in: Ocean Engineering
Year: 2018
Citations: 84
DOI: 10.1016/j.oceaneng.2017.11.055

Experimental and numerical investigation on self-propulsion performance of polar merchant ship in brash ice channel
Authors: C. Xie, L. Zhou, S. Ding, R. Liu, S. Zheng
Published in: Ocean Engineering
Year: 2023
Citations: 58
DOI: 10.1016/j.oceaneng.2022.113424

Modeling and simulation of ice–water interactions by coupling peridynamics with updated Lagrangian particle hydrodynamics
Authors: R. Liu, J. Yan, S. Li
Published in: Computational Particle Mechanics
Year: 2020
Citations: 49
DOI: 10.1007/s40571-020-00267-2

Peridynamic modeling and simulation of coupled thermomechanical removal of ice from frozen structures
Authors: Y. Song, R. Liu, S. Li, Z. Kang, F. Zhang
Published in: Meccanica
Year: 2020
Citations: 26
DOI: 10.1007/s11012-020-01068-2

Numerical simulations of the ice load of a ship navigating in level ice using peridynamics
Authors: Y. Xue, R. Liu, Y. Liu, L. Zeng, D. Han
Published in: Computer Modeling in Engineering & Sciences
Year: 2019
Citations: 21
DOI: 10.32604/cmes.2019.12258

Broken ice circumferential crack estimation via image techniques
Authors: J. Cai, S. Ding, Q. Zhang, R. Liu, D. Zeng, L. Zhou
Published in: Ocean Engineering
Year: 2022
Citations: 20
DOI: 10.1016/j.oceaneng.2022.111735

 

Conclusion

Dr. Renwei Liu exemplifies the qualities of an outstanding candidate for the Research for Excellence in Innovation Award. His innovative research on peridynamics, his leadership in polar ship research, and his contributions to industry applications make him a deserving nominee. His work continues to shape the future of marine engineering, polar exploration, and sustainable ice navigation technologies.

 

 

 

Jian-Fei Sun | Engineering | Best Researcher Award

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

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.