ADAM ISMAEEL | Engineering | Best Researcher Award

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Assoc. Prof. Dr. ADAM ISMAEEL | Engineering | Best Researcher Award

Full-time teacher at Quanzhou University of Information Engineering, China

Adam ismaeel is an associate professor at the school of mechanical and electrical engineering, quanzhou university of information engineering, china. originally from sudan, he specializes in crystal plasticity and multiscale computational materials. with over five years of experience, he has contributed to titanium alloy design, simulation methods, and microstructure evolution. fluent in arabic, english, and chinese (HSK3), he is dedicated to advancing materials science through computational methods and artificial intelligence. his passion for scientific discovery and knowledge sharing drives his research, making significant contributions to additive manufacturing and materials processing. ๐ŸŒ๐Ÿ”ฌ

Professional Profileย 

Education & Experience ๐ŸŽ“๐Ÿ”ง

  • Ph.D. in Material Physics and Chemistry (2019-2024) ๐Ÿ“š

    • University of Science and Technology of China (USTC)
    • Research at the Institute of Metals Research, CAS in multiscale computational materials

  • Master of Engineering in Materials Processing Engineering (2015-2018) ๐Ÿ—๏ธ

    • Dalian University of Technology
    • Research at the Key Laboratory of Materials Modification by Laser, Ion, and Electron Beam

  • Bachelor of Science in Materials Processing (2003-2010) ๐Ÿญ

    • University of Juba, Sudan
    • Research experience at Industrial Research and Consultancy Center, Sudan

  • Work Experience ๐Ÿ‘จโ€๐Ÿซ

    • Associate Professor (2024-Present) ๐ŸŽ“
      • School of Mechanical and Electrical Engineering, Quanzhou University of Information Engineering, China

Professional Development ๐Ÿš€

adam ismaeel has built a strong expertise in multiscale computational materials, focusing on crystal plasticity simulation, microstructure evolution, and mechanical properties. he integrates artificial intelligence into materials design, enhancing additive manufacturing techniques. his proficiency in technical writing, data analysis, and simulation methods allows him to solve complex engineering problems efficiently. his commitment to lifelong learning has made him a valuable contributor to advanced materials research. through his academic journey in sudan and china, he has developed multilingual communication skills, further enabling international collaboration in scientific discoveries. ๐Ÿ“ˆ๐Ÿ”ฌ๐Ÿ’ก

Research Focus ๐Ÿ”

adam ismaeel specializes in crystal plasticity and multiscale computational materials, exploring microstructure evolution, mechanical behavior, and fatigue properties of metals, particularly titanium alloys. his research integrates advanced simulation techniques and artificial intelligence-assisted materials design to optimize manufacturing processes. he is also deeply involved in additive manufacturing, working on improving material performance through innovative processing techniques. his work contributes to developing stronger, more durable materials for industrial applications, including aerospace, automotive, and biomedical engineering. his passion for scientific innovation and problem-solving drives him to continuously push the boundaries of materials science. โš™๏ธ๐Ÿ› ๏ธ๐Ÿ“Š

Awards & Honors ๐Ÿ†

  • Chinese Government Scholarship (2015-2018) ๐Ÿ‡จ๐Ÿ‡ณ
  • Institute of Metal Research Scholarship, CAS (2019-2024) ๐Ÿ…

Publication Top Notes

Effect of Texture on the Fatigue Crack Initiation of a Dual-Phase Titanium Alloy
  • Authors: Adam Ismaeel, Xuexiong Li, Dongsheng Xu, Jinhu Zhang, Rui Yang
  • Journal: Journal of Materials Research and Technology
  • Year: 2024
  • DOI: 10.1016/j.jmrt.2024.10.178

Conclusion

Adam Ismaeel is a strong candidate for a Best Researcher Award, given his expertise in computational materials science, high-quality research output, and notable achievements. To further strengthen his candidacy, he could focus on leadership roles, high-impact journal publications, and industry collaborations. His research contributions in titanium alloys and crystal plasticity simulations are valuable, making him a competitive nominee.

Shengnan Zhang | Engineering | Best Researcher Award

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Dr. Shengnan Zhang | Engineering | Best Researcher Award

Noneย  at School of Mechatronic Engineering and Automation, Shanghai University

Short Bio

  • shengnan zhang is a Ph.D. researcher at Shanghai University specializing in electromagnetic flowmeters, signal processing, and mathematical modeling for industrial processes. With experience in engineering and automation, she integrates theoretical and applied research to enhance industrial measurement accuracy and efficiency.

Professional Profile

Educational Background

  • shengnan zhang is currently pursuing a Ph.D. in the School of Mechatronic Engineering and Automation at Shanghai University (2021โ€“2024). She earned her masterโ€™s degree in Control Science and Engineering (Automation) from Inner Mongolia University of Science and Technology in 2020.

Professional Experience

  • shengnan zhang has gained diverse experience in both industry and academia. She worked as a junior engineer in the Mechanical and Electrical Department at State Grid Xinyuan Chifeng Company, Inner Mongolia (2020โ€“2021). She later transitioned into roles as a Hardware R&D Engineer at JiDan Biotechnology Co., Ltd. and a High School Mathematics Teacher at Nanjing Yunjushi Education Co., Ltd. in 2021.

Research Interests

    • Her research focuses on electromagnetic flowmeters, signal processing, and mathematical modeling of complex industrial processes. She is particularly interested in developing advanced computational techniques for industrial automation and measurement systems.

Author Metrics

  • Currently, shengnan zhang is actively engaged in research and has contributed to scholarly publications in her field. Her work includes studies on signal processing applications in industrial automation and measurement technologies.

Publication Top Noted

  • Study on the Match-Filtering Ability of the Electromagnetic Flowmeter Signals Based on the Generalized Dual-Frequency Walsh Transform
    Flow Measurement and Instrumentation, March 2025
    DOI: 10.1016/j.flowmeasinst.2024.102767
  • Generalized Walsh Transform Sequency-Domain-Based Match Filtering for Electromagnetic Flowmeter Signal Measurement
    IEEE Sensors Journal, April 2024
    DOI: 10.1109/JSEN.2024.3366238
  • A Sequency Match Filtering Algorithm Based on the Generalized Walsh Transform for Processing Rectangular Wave Signals
    Review of Scientific Instruments, February 2024
    DOI: 10.1063/5.0175079
  • Study on Match Filtering Based on Sequency Spectrum Characteristics of the Walsh Transform for Electromagnetic Flowmeter Signal Measurement
    Measurement, February 2024
    DOI: 10.1016/j.measurement.2023.114021

Conclusion

  • Dr. shengnan zhang is a highly qualified researcher with notable contributions to signal processing and industrial measurement systems. Her innovative approaches using Generalized Walsh Transform have the potential to improve electromagnetic flowmeter accuracy significantly. With further collaboration, higher citation impact, and real-world application of her research, she would be an excellent candidate for the Best Researcher Award.

Svetislav Savovic | Engineering | Best Researcher Award

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Prof. Dr. Svetislav Savovic | Engineering | Best Researcher Award

prof. Dr. Svetislav Savovic, University of Kragujevac, Serbia

prof. dr svetislav savovic is a distinguished physicist and professor at the university of kragujevac, serbia. With extensive expertise in optics, computational physics, and nuclear physics, he has contributed significantly to research in photonics, material science, and radiation measurements. He has collaborated with leading international institutions and is actively involved in advancing optical fiber technologies and experimental nuclear physics.

PROFILE

Scopus Profile

Educational Detail

PhD in Physics, university of kragujevac, serbia

MSc in Physics, university of belgrade, serbia

BSc in Physics, university of kragujevac, serbia

Professional Experience

Professor, university of kragujevac, faculty of science, serbia
December 2009 – present

Associate Professor, university of kragujevac, faculty of science, serbia
February 2004 – December 2009

Assistant Professor, university of kragujevac, faculty of science, serbia
September 1997 – February 2004

Visiting Professor/Researcher Positions:

Sapienza University of Rome, Italy (December 2019)

University of Applied Sciences, Leipzig, Germany (June 2018)

Polytechnic University of Hong Kong, Hong Kong (2015-2017, multiple terms)

City University of Hong Kong, Hong Kong (Senior Research Fellow, 3 years, 2000-2019)

Centre Recherche Nucleaires (CRN), Strasbourg, France (May-June 1991)

Aristotle University, Thessaloniki, Greece (Multiple terms, 1990-2009)

International Centre for Theoretical Physics, Trieste, Italy (1988-1990)

University of Poznan and University of Krakow, Poland (September-October 1990)

Teaching Experience

prof. savovic has extensive teaching expertise in the following areas:

Photonics

Metrology

Experimental techniques in physics

Numerical methods and simulations in physics

Informatics and computer programming

Laboratory of modern physics

Biophysics

Atomic physics

Monte-Carlo methods

Nuclear physics

Computational biophysics

Research Interests

Optics and photonics

Computational physics

Monte-Carlo methods

Partial differential equations

Experimental nuclear physics

Radiation measurements

Material science

Research Projects

Computer modeling of deflection-curvature sensors (1999-2000, Hong Kong)

Modal curvature gauge development (2000-2003, Hong Kong)

Mode coupling and power transfer in polymer optical fibers (2005-2009, Hong Kong)

Effects of gamma radiation on step-index plastic optical fibers (2011-2012, Hong Kong)

Advancements in W-type and graded-index plastic optical fibers (2013-2019, Hong Kong)

Characterization and design of photonic crystal fibers (2021-2025, Serbia, Hong Kong, UAE)

Nuclear Physics:

High-energy experimental nuclear physics (1997-2000, Serbia)

Standard Model parameter measurements and new particle searches (2006-2010, CERN, Geneva)

Member of the ATLAS collaboration at CERN (2006-2010)

Mathematics:

Numerical solutions for Stefan problems with accuracy and efficiency emphasis (2002-2003, Hong Kong)

Key Achievements

Long-term international collaborations across Europe and Asia.

Published groundbreaking research in optics and nuclear physics.

Developed innovative optical fiber technologies for sensing and data transmission.

Contributed to the ATLAS experiment at CERN, advancing particle physics research.

Top Notable Publications

Interference mitigation using optimised angle diversity receiver in LiFi cellular network
Zeng, Z., Chen, C., Wu, X., Safari, M., Haas, H.
Optics Communications, 2025, 574, 131125.
Citations: 0

Theoretical investigation of the space division multiplexing capacity of multimode step-index plastic optical fibers
Savoviฤ‡, S., Aidinis, K., Chen, C., Min, R.
Optik, 2024, 311, 171945.
Citations: 0

Influence of launch light beam conditions on the bandwidth in multimode graded-index microstructured POFs
Simoviฤ‡, A., Savoviฤ‡, S., Drljaฤa, B., Chen, C., Min, R.
Applied Optics, 2024, 63(22), pp. 5926โ€“5930.
Citations: 0

Enhancing OFDM with index modulation using heuristic geometric constellation shaping and generalized interleaving for underwater VLC
Zhao, Y., Chen, C., Zhong, X., Lin, B., Savoviฤ‡, S.
Optics Express, 2024, 32(8), pp. 13720โ€“13732.
Citations: 5

Application of the power flow equation in modeling bandwidth in polymer optical fibers: a review
Drljaฤa, B., Savoviฤ‡, S., Simoviฤ‡, A., Aidinis, K., Min, R.
Optical and Quantum Electronics, 2024, 56(4), 547.
Citations: 2

0.5-bit/s/Hz fine-grained adaptive OFDM modulation for bandlimited underwater VLC
Nie, Y., Chen, C., Savoviฤ‡, S., Zeng, Z., Shen, G.
Optics Express, 2024, 82(3), pp. 4537โ€“4552.
Citations: 4

New method for the investigation of mode coupling in graded-index polymer photonic crystal fibers using the Langevin stochastic differential equation
Savoviฤ‡, S., Djordjevich, A., Aidinis, K., Chen, C., Min, R.
Frontiers in Physics, 2024, 12, 1479206.
Citations: 0

Wavelength dependent transmission in multimode graded-index microstructured polymer optical fibers
Simoviฤ‡, A., Savoviฤ‡, S., Wang, Z., Aidinis, K., Chen, C.
Frontiers in Physics, 2024, 12, 1340505.
Citations: 1

Theoretical and experimental investigation of the steady-state power distribution in multimode step-index plastic optical fibers
Dai, W., Savoviฤ‡, S., Zhao, C., Shao, R., Min, R.
Optical Fiber Technology, 2023, 81, 103531.
Citations: 2

Investigation of mode coupling in strained and unstrained multimode step-index POFs using the Langevin equation
Savoviฤ‡, S., Aidinis, K., Djordjevich, A., Min, R.
Heliyon, 2023, 9(7), e18156.
Citations: 1

Conclusion

Considering Prof. Dr. Svetislav Savovicโ€™s vast academic qualifications, prolific research contributions, and impactful teaching and international collaborations, he is highly suitable for the Research for Best Researcher Award. His career epitomizes the values of innovation, academic excellence, and societal impact that the award seeks to honor.

 

 

 

 

 

 

 

 

 

 

 

 

Thi Hong Nhung Vu | Engineering | Best Researcher Award

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Dr. Thi Hong Nhung Vu | Engineering | Best Researcher Awardย 

Dr. Thi Hong Nhung V,ย  Vietnam National University of Forestry at Dong Nai, Vietnam

Dr. thi hong nhung v is a dedicated researcher and educator with nearly two decades of experience in teaching and research. Her studies have spanned multiple disciplines, focusing on the development of nanofibrous materials and composite biomaterials for medical and ecological applications. Her contributions include enhancing the fabrication and efficiency of PVA and PVA-chitosan nanofibers, with practical applications in drug delivery systems. An active participant in the academic community, she has attended numerous international conferences and has a strong publication record in high-impact journals. Dr. thi hong nhung v continues to innovate in the fields of nano biomaterials and bioengineering, driving advancements in both academia and applied sciences.

PROFILE

Orcidย  Profile

Educational Detail

Dr. thi hong nhung v holds advanced degrees in fields related to biopolymers, nanomaterials, and bioengineering. She pursued her studies both in Vietnam and the Russian Federation. In Vietnam, she specialized in natural component extraction, while in the Russian Federation, her focus shifted to the development of nanofibrous materials for drug integration. Her education was complemented by projects involving artificial intelligence, optotechnics, bioengineering, and composite biomaterials.

Professional Experience

Dr. thi hong nhung v has 19 years of experience as a secondary school teacher and university lecturer in Vietnam. She has participated in and contributed to three significant research projects:

Artificial intelligence methods for cyber-physical systems.

Development of methods and tools for applied problems in optotechnics and bioengineering.

Composite biomaterials and technologies for ecophotonics and medicine.

Over the past five years, she has attended 12 international scientific conferences and published nine research articles in reputable journals indexed in SCI and Scopus. She has also contributed to book publications, with one carrying the ISBN 978-3-031-26907-3.

Research Interests

Dr. thi hong nhung v’s research interests include:

Biopolymers and polymers

Nano biomaterials and electrospinning

Nano biochemistry and nanomaterials

Her work focuses on developing and improving PVA and PVA-chitosan nanofibers, emphasizing solution composition, technological parameters, and the use of multicomponent solvent systems to enhance material properties and drug incorporation efficiency.

Top Notable Publications

thi hong nhung v, Study on Fabrication and Properties of Polyvinyl Alcohol/Chitosan Nanofibers Created from Aqueous Solution with Acetic Acid and Ethanol by the Electrospinning Method. Polymers, 2024, 16(23), 3393. DOI: 10.3390/polym16233393.

thi hong nhung v, Study on Fabrication and Properties of Polyvinyl Alcoholโ€”Chitosan Nanofibers from Aqueous Solution with Acetic Acid and Ethanol by Electrospinning Method. Preprint, 2024. DOI: 10.20944/preprints202410.0296.v1.

thi hong nhung v, The Influence of Acetic Acid and Ethanol on the Fabrication and Properties of Poly(Vinyl Alcohol) Nanofibers Produced by Electrospinning. Polymer Bulletin, 2024, 81, 768-780. DOI: 10.1007/s00289-024-05168-2.

thi hong nhung v, A Systematic Investigation of Solution and Technological Parameters for the Fabrication and Characterization of Poly(Vinyl Alcoholโ€“Chitosan) Electrospun Nanofibers. Polymers for Advanced Technologies, 2024, 35(5), 6423. DOI: 10.1002/pat.6423.

thi hong nhung v, Tafamidis Drug Delivery Systems Based on Chitosan/Polyvinyl Alcohol Matrix. ASEC 2023 Conference Proceedings, 2023. DOI: 10.3390/ASEC2023-15905.

thi hong nhung v, Fabrication of Polyvinyl Alcohol Nanofibers for the Delivery of Biologically Active Molecules. 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2022, pp. 117-123. DOI: 10.1109/iecbes54088.2022.10079434.

thi hong nhung v, Investigation of the Fabrication of Nanofibers from Aqueous Polyvinyl Alcohol Solutions by Electrospinning. Proceedings of the Voronezh State University of Engineering Technologies, 2022, 2, 210-220. DOI: 10.20914/2310-1202-2022-2-210-220.

Conclusionย 

Based on her academic achievements, impactful research contributions, and interdisciplinary approach, Dr. Thi Hong Nhung V is an exemplary candidate for the Research for Best Researcher Award. Her work has significantly advanced the fields of nanotechnology and biomaterials, contributing to both scientific progress and practical applications in medicine and engineering.

 

 

 

 

 

 

 

 

 

 

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 Bachelorโ€™s degree at Shandong Normal University in 2016, followed by a Masterโ€™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. Sunโ€™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, 29โ€“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, 31โ€“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. Sowonย  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. choiโ€™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 Ownerโ€™s Technical Requirements in Equipment Purchase Order

Authors: To be determined

Journal: Sustainability

Date: 2022-08-12

DOI: 10.3390/su141610010

Contractorโ€™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 Contractorsโ€™ 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 Contractorโ€™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 Choiโ€™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.

 

 

 

Masahiro Nishida | Impact Engineering | Best Researcher Award

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Dr. Masahiro Nishida | Impact Engineering | Best Researcher Award

Orcid Profile

Educational Details

B.E. in Mechanical Engineering (1991): Tokyo Institute of Technology.

M.E. in Mechanical Engineering (1993): Tokyo Institute of Technology.

Ph.D. in Mechanical Engineering (1996): Tokyo Institute of Technology, under the supervision of Professor H. Matsumoto. His thesis was titled โ€œEvaluation Method of Mechanical Properties for Material by Phase-Sensitive Acoustic Microscopeโ€.

 

Professional Experience

Prof. Nishida began his career as a Research Associate in the Department of Mechanical Science at Tokyo Institute of Technology from 1996 to 1997. He then joined Nagoya Institute of Technology as a Research Associate in 1997, working under Professor K. Tanaka. He progressed to Lecturer (2001-2004), Associate Professor (2004-2018), and has been a full Professor since 2018. In addition to his academic roles, he has served as the General Manager of the Quality Innovation Techno-Center at Nagoya Institute of Technology since 2022. He has also been a visiting researcher at Luleรฅ University of Technology, Sweden, in 2009.

Research Interest

Prof. Masahiro Nishida’s research focuses on the dynamic behavior of materials under extreme conditions, with particular emphasis on hypervelocity impacts and advanced material properties. His work on hypervelocity impact explores the performance of materials like metals and plastics used in space debris bumpers, carbon fiber-reinforced plastics, and components produced through additive manufacturing. In the field of dynamic strength of advanced materials, he investigates the mechanical properties of recycled aluminum alloys, additive manufacturing materials, and biodegradable plastics using the split Hopkinson pressure bar (SHPB) technique, which allows for high-strain-rate testing. Additionally, his research into the dynamics of heterogeneous materials involves studying the behavior of aggregated soft particles and understanding how contact forces propagate within these assemblies. This combination of experimental and computational approaches provides valuable insights into the resilience and performance of materials in extreme environments.

Top Notable Publications

Effects of electron beam irradiation on hypervelocity impact behavior of carbon fiber reinforced plastic plates
Journal: Journal of Composite Materials
Published: December 2021
DOI: 10.1177/00219983211037049
Citations: Data not provided through Scopus.

Effects of the shapes and addition amounts of crosslinking reagents on the properties of polyโ€3โ€hydroxybutyrate/poly(caprolactone) blends
Journal: Journal of Applied Polymer Science
Published: June 2021
DOI: 10.1002/app.51210
Citations: Data not provided through Scopus.

Effect of chain extender on morphology and tensile properties of poly(l-lactic acid)/poly(butylene succinate-co-l-lactate) blends
Journal: Materials Today Communications
Published: March 2021
DOI: 10.1016/j.mtcomm.2020.101852
Citations: Data not provided through Scopus.

Correlative analysis between morphology and mechanical properties of poly-3-hydroxybutyrate (PHB) blended with polycaprolactone (PCL) using solid-state NMR
Journal: Polymer Testing
Published: November 2020
DOI: 10.1016/j.polymertesting.2020.106780
Citations: Data not provided through Scopus.

Correlative analysis between solid-state NMR and morphology for blends of poly(lactic acid) and poly(butylene adipate-co-butylene terephthalate)
Journal: Polymer
Published: 2020
DOI: 10.1016/j.polymer.2020.122591
Citations: Data not provided through Scopus.

Effects of deformation rate on tensile properties of ramie fiber/PLA/PBAT composites
Conference: ECCM 2018 – 18th European Conference on Composite Materials
Published: 2020
EID: 2-s2.0-85084162322
Citations: Data not provided through Scopus.

Effects of gamma ray irradiation on penetration hole in and fragment size from carbon fiber reinforced composite plates in hypervelocity impacts
Journal: Composites Part B: Engineering
Published: July 2019
DOI: 10.1016/j.compositesb.2019.04.007
Citations: Data not provided through Scopus.

Influence of impact angle on size distribution of fragments in hypervelocity impacts
Journal: International Journal of Impact Engineering
Published: June 2019
DOI: 10.1016/j.ijimpeng.2019.02.006
Citations: Data not provided through Scopus.

Conclusion

Prof. Masahiro Nishida is a highly qualified candidate for the Best Researcher Award. His strong educational background, extensive research experience, leadership roles, and cutting-edge research in dynamic material properties and hypervelocity impact make him a prominent figure in mechanical engineering. His research aligns well with current industrial needs, particularly in aerospace, sustainability, and material innovation, further enhancing his candidacy for such an award.

 

Yalini Devi Neelan | Engineering | Best Researcher Award

Posted on by Physicist Particle

Dr. Yalini Devi Neelan | Engineering | Best Researcher Award

Google Scholar Profile

Educational Details

Dr. Yalini Devi Neelan completed her Ph.D. in Energy Harvesting Applications at Anna University, India, from 2016 to 2021. Her doctoral research focused on innovative methods for harnessing energy through advanced materials and nanotechnology. Prior to her Ph.D., she earned an M.Tech. in Nanoscience and Technology from Anna University, where she achieved an impressive GPA of 8.24/10 from 2014 to 2016. Dr. Neelan’s academic journey began with a Bachelor of Engineering in Electrical and Electronic Engineering, also from Anna University, where she graduated in 2014 with a GPA of 6.41/10. This solid educational background has equipped her with a strong foundation in both engineering principles and nanomaterials, driving her passion for research in energy solutions.

Research Experience

Dr. Yalini Devi Neelan is currently a Postdoctoral Researcher at the University of Milano, Italy, in the Thermoelectricโ€™s Laboratory, where she focuses on the preparation and characterization of nanostructured silicon for thermoelectric applications. Her key responsibilities include preparing nanostructured materials, examining their physicochemical characteristics, and studying their Seebeck coefficient, electrical, and thermal conductivity to calculate the figure of merit (ZT). Prior to this, she was a Postdoctoral Researcher at Chungnam National University, South Korea, where she worked on nanostructured oxide-based materials for antibiotic degradation and battery applications, analyzing their photodegradation and electrochemical properties. Dr. Neelan also served as a Research Associate at Anna University, India, where she focused on energy harvesting and storage applications, preparing oxide-based nanomaterials and managing communications with funding agencies. During her Ph.D. at Anna University, she investigated nanostructured strontium titanate-based oxide thermoelectric materials for energy harvesting from waste heat. Additionally, she collaborated with Shimomura Laboratory at Shizuoka University, Japan, to enhance the thermoelectric power factor of nanostructured SrTiO3 through Gd and Nb co-substitution. Earlier in her academic journey, Dr. Neelan was a project student at the Indian Institute of Technology Madras, where she developed graphene oxide-based strain sensors for motion monitoring. Her diverse research experiences reflect her strong expertise in nanomaterials and energy applications.

Research Focus

Energy harvesting applications, particularly in thermoelectrics, focus on converting waste heat into usable electrical energy, thus promoting sustainable energy solutions. The synthesis of nanomaterials plays a crucial role in this field, as nanostructured materials exhibit enhanced thermoelectric properties due to their unique physical and chemical characteristics. These materials are engineered to optimize energy conversion efficiencies, allowing for effective harvesting from various heat sources. Additionally, advancements in energy storage applications complement energy harvesting by ensuring that the harvested energy can be effectively stored and utilized when needed. By integrating innovative synthesis techniques and exploring novel nanomaterials, researchers aim to improve the performance and efficiency of thermoelectric devices, ultimately contributing to a more sustainable and energy-efficient future.

Top Notable Publications

Enhancing effects of Te substitution on the thermoelectric power factor of nanostructured SnSeโ‚โ‚‹โ‚“Teโ‚“
Authors: D. Sidharth, A.S.A. Nedunchezhian, R. Rajkumar, N.Y. Devi, P. Rajasekaran, et al.
Journal: Physical Chemistry Chemical Physics
Year: 2019
Citations: 32

Effect of Gd and Nb co-substitution on enhancing the thermoelectric power factor of nanostructured SrTiOโ‚ƒ
Authors: N.Y. Devi, K. Vijayakumar, P. Rajasekaran, A.S.A. Nedunchezhian, et al.
Journal: Ceramics International
Year: 2021
Citations: 26

Enhanced thermoelectric performance of band structure engineered GeSeโ‚โ‚‹โ‚“Teโ‚“ alloys
Authors: D. Sidharth, A.S.A. Nedunchezhian, R. Akilan, A. Srivastava, B. Srinivasan, et al.
Journal: Sustainable Energy & Fuels
Year: 2021
Citations: 25

Enhancement of thermoelectric power factor of hydrothermally synthesised SrTiOโ‚ƒ nanostructures
Authors: N.Y. Devi, P. Rajasekaran, K. Vijayakumar, A.S.A. Nedunchezhian, et al.
Journal: Materials Research Express
Year: 2020
Citations: 15

Biogenic synthesis and characterization of silver nanoparticles: evaluation of their larvicidal, antibacterial, and cytotoxic activities
Authors: S. Mahalingam, P.K. Govindaraji, V.G. Solomon, H. Kesavan, Y.D. Neelan, et al.
Journal: ACS Omega
Year: 2023
Citations: 11

Effect of Bismuth substitution on the enhancement of thermoelectric power factor of nanostructured Biโ‚“Coโ‚ƒโ‚‹โ‚“Oโ‚„
Authors: A.S.A. Nedunchezhian, D. Sidharth, N.Y. Devi, R. Rajkumar, P. Rajasekaran, et al.
Journal: Ceramics International
Year: 2019
Citations: 11

Effective Visible-Light-Driven Photocatalytic Degradation of Harmful Antibiotics Using Reduced Graphene Oxide-Zinc Sulfide-Copper Sulfide Nanocomposites as a Catalyst
Authors: J.K. Shanmugam Mahalingam, Yalini Devi Neelan, Senthil Bakthavatchalam, et al.
Journal: ACS Omega
Year: 2023
Citations: 10

Enhancing the thermoelectric power factor of nanostructured ZnCoโ‚‚Oโ‚„ by Bi substitution
Authors: A.S.A. Nedunchezhian, D. Sidharth, R. Rajkumar, N.Y. Devi, K. Maeda, et al.
Journal: RSC Advances
Year: 2020
Citations: 7

High thermoelectric power factor of Ag and Nb co-substituted SrTiOโ‚ƒ perovskite nanostructures
Authors: N.Y. Devi, A.S.A. Nedunchezhian, D. Sidharth, P. Rajasekaran, et al.
Journal: Materials Chemistry and Physics
Year: 2023
Citations: 3