Dr. K. Lakshmi Prasanna | Engineering | Best Researcher Award

Posted on 26/05/202526/05/2025 by Physicist Particle

Dr. K. Lakshmi Prasanna | Engineering | Best Researcher Award

Visiting faculty at Birla Institute of Technology and Science Pilai, India

Dr. K. Lakshmi Prasanna 🎓 is a passionate researcher and academician in the field of High Voltage Engineering, with a strong command over system modeling, fault diagnostics, and parameter estimation using MATLAB/Simulink 🛠️. She brings a unique blend of theoretical insight and hands-on expertise in simulation, optimization, control systems, and signal processing. Her innovative Ph.D. work at BITS Pilani, Hyderabad focused on transformer winding modeling and inter-turn fault diagnostics 🔍, proposing novel, non-intrusive algorithms with real-world applicability. With a foundation in Power Electronics and Electrical Engineering ⚡, she also has teaching experience at multiple esteemed engineering colleges, nurturing minds in core subjects. Driven by curiosity and adaptability, she actively embraces new software tools and collaborative environments 💡. Her professional trajectory reflects a consistent commitment to academic excellence, technical rigor, and transformative innovation in electrical engineering. 🚀

Professional Profile

Orcid

Scopus

Google Scholar

📚 Education

Dr. Lakshmi Prasanna’s educational journey 🌱 reflects a steady and impressive rise through the academic ranks of electrical engineering. Beginning with a remarkable 96.9% in her Higher Secondary 🏫, she pursued her B.Tech in EEE and M.Tech in Power Electronics from JNTUA, scoring 85.1% and 85%, respectively 🎯. Her academic excellence culminated in a Ph.D. in High Voltage Engineering at BITS Pilani, Hyderabad Campus, where she maintained an impressive 8.0 CGPA 📈. Her doctoral thesis delved into cutting-edge research on transformer fault diagnosis and system modeling, placing her at the forefront of innovation in condition monitoring and electrical diagnostics. Throughout her educational path, she has consistently demonstrated not just technical brilliance but also a hunger for knowledge and an ability to bridge theory and application seamlessly 📘⚙️.

👩‍🏫 Professional Experience

With over a decade of dedicated service in academia and research, Dr. Lakshmi Prasanna has built a versatile and impactful professional portfolio 🧠. Beginning her journey as an Assistant Professor at Rami Reddy Subbarami Reddy Engineering College (2012–2017), she laid her pedagogical foundations teaching essential subjects like Electrical Machines, Circuits, and Power Electronics 🔌. Her journey continued at St. Martin’s Engineering College (2017–2019), where she continued imparting technical knowledge with enthusiasm and clarity. From 2018 to 2025, her role as a Research Assistant at BITS Hyderabad marked a turning point, as she immersed herself in advanced simulation and transformer fault diagnostics 🔬. Beyond teaching, her experience also includes proposal writing, technical documentation using LaTeX, and collaborative interdisciplinary projects, marking her as a well-rounded professional 🌐📝.

🔍 Research Interests

Dr. Lakshmi Prasanna’s research is deeply rooted in the intelligent modeling of electrical systems, with a spotlight on transformer winding diagnostics, state-space modeling, and parameter estimation using non-intrusive techniques 🧩. Her innovative Ph.D. work proposed the integration of subspace identification and similarity transformations to estimate transformer parameters and detect inter-turn faults purely from terminal measurements ⚙️🔍. Her expertise in MATLAB M-script development, COMSOL Multiphysics simulations, and system optimization reflects a rare proficiency in both simulation and real-world application. Additionally, she is intrigued by control systems, fault-tolerant design, and signal processing, with a strong drive toward creating robust, adaptive models for condition monitoring 🧠📊. Her work directly contributes to the reliability and safety of electrical infrastructure, making her research highly relevant to modern power systems and smart grid innovation 🌐⚡.

🏅 Awards and Honors

Dr. Lakshmi Prasanna’s academic journey is marked by consistently high achievements and academic recognition 🏆. From securing a 96.9% in her HSC to maintaining top scores through her undergraduate and postgraduate studies, her excellence has been evident from the outset 🎓. While formal awards during her doctoral years may not be listed, her selection and continuation at BITS Pilani, one of India’s premier institutions, is a distinction in itself 🌟. Her progression into high-level research projects, including complex simulation and modeling of transformer systems, attests to her recognition within the academic and research community. Her teaching roles across reputed engineering colleges and involvement in technical proposal writing and collaborative research are testaments to her leadership and scholarly respect 🥇. She continues to be acknowledged for her dedication, depth of knowledge, and clarity in delivering technical content.

Publications Top Notes

1. Terminal-based method for efficient inter-turn fault localization and severity assessment in transformer windings

Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal
Year: 2025
DOI: 10.1016/j.prime.2025.100982
Source: e-Prime – Advances in Electrical Engineering, Electronics and Energy
Summary: This study introduces a non-invasive method for identifying and assessing the severity of inter-turn faults in transformer windings using only external terminal measurements. The approach enhances fault detection accuracy without requiring internal access to the transformer.

2. Radial deformation detection and localization in transformer windings: A terminal measured impedance approach

Authors: Lakshmi Prasanna Konjeti, Manoj Samal, Mithun Mondal
Year: 2025
DOI: 10.1016/j.prime.2025.100945
Source: e-Prime – Advances in Electrical Engineering, Electronics and Energy
Summary: The paper presents a novel, non-invasive method for diagnosing radial deformation faults in transformer windings by analyzing terminal impedance measurements, enabling effective detection and severity assessment based on capacitance changes.

3. A non-iterative analytical approach for estimating series-capacitance in transformer windings solely from terminal measured frequency response data

Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal
Year: 2025
DOI: 10.1016/j.epsr.2024.111086
Source: Electric Power Systems Research
Summary: This research proposes a non-iterative analytical method to estimate the series capacitance of transformer windings using only terminal frequency response data, simplifying the estimation process and improving accuracy.

4. Accurate Estimation of Transformer Winding Capacitances and Voltage Distribution Factor Using Driving Point Impedance Measurements

Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal
Year: 2024
DOI: 10.1109/ACCESS.2024.3460968
Source: IEEE Access
Summary: The study introduces an innovative methodology for precisely estimating winding capacitances and the voltage distribution factor using driving point impedance measurements, enhancing transformer modeling and analysis.

5. A Symbolic Expression for Computing the Driving Point Impedance and Pole-Zero-Gain of a Transformer from its Winding Parameters

Authors: K. Lakshmi Prasanna
Year: 2023
DOI: 10.1109/INDICON59947.2023.10440729
Source: 2023 IEEE 20th India Council International Conference (INDICON)
Summary: This paper presents a symbolic expression for computing the driving point impedance and pole-zero-gain of a transformer based on its winding parameters, facilitating efficient analysis of transformer behavior.

6. Analytical computation of driving point impedance in mutually coupled inhomogeneous ladder networks

Authors: K. Lakshmi Prasanna, Mithun Mondal
Year: 2023
DOI: 10.1002/cta.3839
Source: International Journal of Circuit Theory and Applications
Summary: The research introduces a new approach for computing the driving point impedance of inhomogeneous ladder networks with mutual coupling, enhancing the accuracy of electrical network modeling.

7. Analytical formulas for calculating the electrical characteristics of multiparameter arbitrary configurational homogenous ladder networks

Authors: K. Lakshmi Prasanna
Year: 2023
DOI: 10.1002/cta.3547
Source: International Journal of Circuit Theory and Applications
Summary: This paper presents generalized analytical formulas for computing the electrical properties of multiparameter arbitrary configuration homogeneous ladder networks, aiding in the design and analysis of complex electrical circuits.

8. Terminal Measurements-Based Series Capacitance Estimation of Power Transformer Windings Using Frequency-Domain Subspace Identification

Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal
Year: 2023
DOI: 10.1109/TIM.2023.3311074
Source: IEEE Transactions on Instrumentation and Measurement
Summary: The study proposes a method for estimating the series capacitance of power transformer windings using frequency-domain subspace identification based on terminal measurements, improving the accuracy of transformer diagnostics.

9. Elimination of Mutual Inductances from the State-Space Model of a Transformer Winding’s Ladder Network Using Eigen Decomposition

Authors: K. Lakshmi Prasanna
Year: 2022
DOI: 10.1109/CATCON56237.2022.10077664
Source: 2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)
Summary: This paper presents a method to eliminate mutual inductances from the state-space model of a transformer winding’s ladder network using eigen decomposition, simplifying the analysis of transformer dynamics.

10. Internet Of Things (IOT) in Distribution grid using DSTATCOM

Authors: K. Lakshmi Prasanna
Year: 2019
DOI: 10.1109/RDCAPE47089.2019.8979044
Source: 2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)
Summary: The paper discusses the integration of Internet of Things (IoT) technology with DSTATCOM in distribution grids to improve power factor and enable real-time monitoring, enhancing the efficiency and reliability of power distribution systems.

✅ Conclusion

In conclusion, Dr. K. Lakshmi Prasanna stands as a beacon of innovation, diligence, and academic integrity in the realm of electrical engineering and high voltage research 🌟. Her journey from a stellar student to a dynamic researcher and dedicated educator is marked by technical excellence, innovative research, and a passion for teaching 🎯. With deep expertise in MATLAB/Simulink, transformer modeling, and non-intrusive diagnostics, she contributes meaningfully to the future of smart and resilient power systems ⚡💻. Her collaborative spirit, adaptability to emerging tools, and constant pursuit of knowledge ensure her continued relevance and impact in the scientific community 📚🚀. As she continues to explore new horizons in diagnostics and system modeling, her work promises to empower more efficient and intelligent energy systems of tomorrow 🔋🔬.

Khushboo Singh | Engineering | Best Researcher Award

Posted on 24/04/202524/04/2025 by Physicist Particle

Dr. Khushboo Singh | Engineering | Best Researcher Award

Research Fellow at University of Technology Sydney, Australia

Dr. Khushboo Singh 🎓🔬 is a Postdoctoral Research Fellow at the University of Technology Sydney 🇦🇺. With 10+ years of experience in academia, defence, and industry, she specializes in high-power millimetre-wave antennas 🚀📡. Her collaboration with the Defence Science and Technology Group (DSTG) has earned her national recognition, including the prestigious Eureka Prize 🏆. Passionate about cutting-edge tech, she also works on space, maritime, and mobile satellite communication systems 🌌🌊📶. A dedicated mentor and leader, Dr. Singh actively supports women in STEM 💪👩‍🔬 while advancing Australia’s research landscape through innovation and excellence 🌟.

Professional Profile:

Scopus

Google Scholar

🔹 Education & Experience

🎓 Education:

📍 Ph.D. in Electrical & Electronics Engineering | Macquarie University, Australia | 2021
📍 M.Sc. (Research) in Electronics & Communication | LNMIIT, India | 2014 | CPI: 9/10
📍 B.Tech in Electronics & Communication | SHIATS, India | 2012 | CPI: 9.7/10

💼 Experience:

👩‍🔬 Postdoctoral Research Fellow | UTS | Nov 2023 – Present
👩‍🏫 Research Associate | UTS | Nov 2020 – Oct 2023
🌏 Visiting Researcher | IIT-Kanpur | Mar – May 2023
🧠 Technical Researcher | Electrotechnik Pty Ltd. | Nov 2019 – Mar 2020
🎓 Casual Tutor | Macquarie University | 2017, 2024
👩‍🏫 Guest Lecturer | Swami Rama Himalayan University | 2015 – 2016
👩‍🏫 Assistant Professor | Pratap Institute, India | 2014 – 2015

🔹 Professional Development

Dr. Singh is a passionate leader in research and professional mentoring 🌟. She serves as a mentor in multiple STEM programs 👩‍🔬🤝 including Women in Engineering and WiSR at UTS, encouraging female participation in science and technology 👩‍💻👩‍🔬. As award chair for the 2025 Australian Microwave Symposium 🏅 and a past session organizer for major IEEE and EuCAP conferences, she actively contributes to the global antenna research community 🌐📡. She also provides project supervision, peer reviews, and guidance to students and engineers, playing a key role in shaping future tech talent and research direction 🚀🧑‍🔬.

🔹 Research Focus

Dr. Singh’s research centers on high-power, metasurface-based millimetre-wave antennas 📡⚡ with beam-steering and in-antenna power-combining features. Her work has major applications in defence, space, maritime, and satellite communications 🛰️🚢. She collaborates with Australia’s Defence Science and Technology Group (DSTG) to design antennas suited for compact, power-constrained environments 🛠️. Her contributions enable better surveillance, radar, and communication systems in mission-critical scenarios 🎯. She is also exploring inter-satellite link antennas and intelligent surfaces for next-gen wireless communication 🌐📶, cementing her role at the intersection of advanced electromagnetics, microwave engineering, and national security defense systems 🛡️.

🔹 Awards & Honors

🏆 Awards & Honors:

🥇 Winner – 2024 ICEAA – IEEE APWC Best Paper Award
🏅 Winner – 2023 Eureka Prize for Outstanding Science for Safeguarding Australia
👏 Finalist – 2025 AUS SPACE Academic Research Team of the Year
👩‍🚀 Finalist – 2024 ADM Women in Defence (R&D Category)
🧪 Finalist – 2022 UTS Vice-Chancellor’s Award for Research Excellence
⭐ Top 200 Reviewer – IEEE Transactions on Antennas & Propagation (2023)
🥇 Winner – 2019 IEEE NSW Outstanding Student Volunteer
💰 Winner – CHOOSEMATHS Grant by AMSI & BHP Foundation (2017)
🎓 Scholarships – iRTP (2017–2020), LNMIIT Research Stipend (2012–2014)

Publication Top Notes

📘 1. Controlling the Most Significant Grating Lobes in Two-Dimensional Beam-Steering Systems with Phase-Gradient Metasurfaces

Authors: K. Singh, M.U. Afzal, M. Kovaleva, K.P. Esselle
Journal: IEEE Transactions on Antennas and Propagation
Volume/Issue: 68(3), Pages 1389–1401
Year: 2019
Citations: 86
DOI: 10.1109/TAP.2019.2940403
Highlights:
- Introduced techniques to control dominant grating lobes in 2D beam-steering.
- Employed phase-gradient metasurfaces to steer beams without complex feed networks.
- Achieved low sidelobe levels and improved directivity.
- Combined analytical modeling with full-wave electromagnetic simulations.

📗 2. Designing Efficient Phase-Gradient Metasurfaces for Near-Field Meta-Steering Systems

Authors: K. Singh, M.U. Afzal, K.P. Esselle
Journal: IEEE Access
Volume: 9, Pages 109080–109093
Year: 2021
Citations: 34
DOI: 10.1109/ACCESS.2021.3102204
Highlights:
- Focused on near-field applications such as wireless power transfer.
- Proposed a method to optimize phase response for compact metasurfaces.
- Improved phase accuracy and minimized aperture size.
- Demonstrated via simulations and measured prototypes.

📙 3. State-of-the-Art Passive Beam-Steering Antenna Technologies: Challenges and Capabilities

Authors: F. Ahmed, K. Singh, K.P. Esselle
Journal: IEEE Access
Volume: 11, Pages 69101–69116
Year: 2023
Citations: 28
DOI: 10.1109/ACCESS.2023.3285260
Highlights:
- Comprehensive review of passive beam-steering technologies.
- Covers reconfigurable metasurfaces, mechanical rotation, and tunable materials.
- Discusses energy efficiency, low-cost manufacturing, and practical limitations.
- Key insight for researchers targeting 6G, IoT, and wearable tech.

📕 4. Evaluation Planning for Artificial Intelligence-Based Industry 6.0 Metaverse Integration

Author: K. Singh
Conference: Intelligent Human Systems Integration (IHSI 2023)
Year: 2023
Citations: 27
DOI: 10.1007/978-3-031-28032-0_40
Highlights:
- Discusses AI-driven frameworks for integrating Industry 6.0 with the metaverse.
- Addresses human-system interaction, digital twins, and smart automation.
- Proposes an evaluation roadmap for real-time metaverse-industrial synergy.
- Useful for future cyber-physical systems and smart manufacturing.

📒 5. Accurate Optimization Technique for Phase-Gradient Metasurfaces Used in Compact Near-Field Meta-Steering Systems

Authors: K. Singh, M.U. Afzal, K.P. Esselle
Journal: Scientific Reports (Nature Publishing Group)
Volume: 12, Article 4118
Year: 2022
Citations: 20
DOI: 10.1038/s41598-022-08057-8
Highlights:
- Developed a precise numerical optimization technique for metasurface design.
- Reduced phase errors, enabling high-accuracy near-field beam control.
- Achieved better performance in compact and portable systems.
- Practical for radar, medical imaging, and wireless power applications.

Conclusion

Dr. Khushboo Singh exemplifies the qualities of an outstanding researcher — innovative, impactful, and committed to scientific excellence. Her exceptional track record in antenna technology for defense and space applications, combined with her leadership in mentoring and research supervision, makes her a standout candidate for the Best Researcher Award. Her research is not only scientifically robust but also socially and nationally significant, particularly in safeguarding technological frontiers of Australia.

She is a role model for aspiring researchers, especially women in STEM, and a worthy recipient of such an honor.

Bernardine Chidozie | Engineering | Best Researcher Award

Posted on 20/11/202420/11/2024 by Physicist Particle

Mrs, Bernardine Chidozie, University of Aveiro, Portugal

Mrs. Bernardine Chidozie is a dedicated researcher and PhD student fellow at the University of Aveiro, Portugal, focusing on digital transformation, simulation modeling, and supply chain optimization, especially in the context of Industry 4.0 and 5.0. Her research employs simulation-based methods and digital tools to improve decision-making and operational performance in complex systems, such as healthcare and sustainable supply chains.

PROFILE

Orcid profile

Educational Details

With an academic foundation in engineering, Mrs. Chidozie has contributed significantly to projects like the “Sustainable Supply Chain Management Model for Residual Agroforestry Biomass,” utilizing a web platform to support her research, which began in 2022. Her publications explore the impact of digitalization on supply chains, including the optimization of biomass supply chains for sustainability. She has authored books like Simulation-Based Approaches to Enhance Operational Decision Support in Healthcare 5.0 and published articles in notable journals, such as Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix.

Professional Experience

Professionally, Mrs. Chidozie has been involved in various research and consultancy projects, including industry-relevant studies that analyze the role of simulation and digital transformation in optimizing supply chains. She is an active member of the Council for the Regulation of Engineering in Nigeria (COREN) and collaborates on initiatives that bridge research and real-world applications. Her primary goal is to create innovative, technology-driven strategies to enhance sustainability, efficiency, and resilience in industrial and healthcare sectors.

Research Interests

Digital transformation, simulation modeling, supply chain optimization, Industry 4.0 and 5.0 applications, sustainable biomass supply chains, healthcare systems improvement, and decision-support systems.

Top Notable Publications

Chidozie, B.C. (2024). Highlighting Sustainability Criteria in Residual Biomass Supply Chains: A Dynamic Simulation Approach. Sustainability, Published: 2024-11-07, DOI: 10.3390/su16229709, Source: Crossref.

Chidozie, B.C. (2024). Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix: A Methodical Approach. Logistics, Published: 2024-10-18, DOI: 10.3390/logistics8040107, Source: Crossref.

Chidozie, B.C. (2024). The Importance of Digital Transformation (5.0) in Supply Chain Optimization: An Empirical Study. Production Engineering Archives, Published: 2024-03-01, DOI: 10.30657/pea.2024.30.12, Source: Crossref.

Chidozie, B.C. (2024). Analytical and Simulation Models as Decision Support Tools for Supply Chain Optimization – An Empirical Study. The 17th International Conference Interdisciplinarity in Engineering (book chapter), DOI: 10.1007/978-3-031-54671-6_15, ISBN: 9783031546709, Source: Crossref.

Chidozie, B.C. (2024). Impacts of Simulation and Digital Tools on Supply Chain in Industry 4.0. The 17th International Conference Interdisciplinarity in Engineering (book chapter), DOI: 10.1007/978-3-031-54664-8_43, ISBN: 9783031546648, Source: Crossref.

Chidozie, B.C. (2024). Simulation-Based Approaches to Enhance Operational Decision-Support in Healthcare 5.0: A Systematic Literature Review. (book chapter), DOI: 10.1007/978-3-031-38165-2_78, Source: Crossref.

Conclusion

Mrs. Bernardine Chidozie’s research achievements, particularly her focus on digital transformation and sustainable supply chains, make her a suitable candidate for the Best Researcher Award. Her work is relevant and impactful, addressing key challenges in Industry 4.0 and Healthcare 5.0. Her publications, ongoing projects, and industry involvement illustrate her dedication to advancing sustainability and efficiency across industries, marking her as a distinguished researcher in her field.

Dongmin Shin | Engineering | Best Researcher Award

Posted on 19/11/202419/11/2024 by Physicist Particle

Assist. Prof. Dr. Dongmin Shin, Gyeongsang National University, South Korea

Dongmin Shin, Ph.D., is an Assistant Professor of Smart Energy and Mechanical Engineering at Gyeongsang National University, South Korea. His expertise encompasses mechanical system reliability and energy solutions, backed by extensive experience in research and academia at institutions like KIMM and KAIST.

PROFILE

Orcid profile

Educational Details

Dr. Shin holds a Ph.D. in Mechanical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), completed in August 2019, where he also earned his M.S. in Ocean System Engineering in February 2015. His foundational studies began at Hanyang University, where he received a B.S. in Mechanical Engineering in 2013, with a break for military service from 2008 to 2010.

Professional Experience

Dr. Shin joined Gyeongsang National University as an Assistant Professor in September 2022. Prior to this, he was a Post-doctoral Researcher at the Korea Institute of Machinery & Materials (KIMM), focusing on reliability assessment in mechanical systems. His academic journey includes roles at KAIST, where he served as a Research Assistant Professor at the Institute for Security Convergence Research, and at Kunsan National University as a Research Professor within the Shipbuilding & Ocean Equipment Industry Empowerment Center. Additionally, he has experience as a Teaching and Research Management Assistant at KAIST, supporting courses in Fluid Mechanics, Numerical Analysis, and mechanical practice, and assisting with 2-D and 3-D wave tank research.

Research Interests

Dr. Shin’s research interests lie in mechanical system reliability, smart energy systems, ocean engineering, and fluid mechanics, with applications in mechanical system safety and energy efficiency.

Top Notable Publications

“Design Analysis Using Evaluation of Surf-Riding and Broaching by the IMO Second Generation Intact Stability Criteria for a Small Fishing Boat”

Authors: Not provided

Year: 2024

Journal: Journal of Marine Science and Engineering

DOI: 10.3390/jmse12112066

“Numerical Study on Compact Design in Marine Urea-SCR Systems for Small Ship Applications”

Authors: Not provided

Year: 2023

Journal: Energies

DOI: 10.3390/en17010187

“Numerical analysis of thermal and hydrodynamic characteristics in aquaculture tanks with different tank structures”

Authors: Not provided

Year: 2023

Journal: Ocean Engineering

DOI: 10.1016/j.oceaneng.2023.115880

“Evaluation of Parametric Roll Mode Applying the IMO Second Generation Intact Stability Criteria for 13K Chemical Tanker”

Authors: Not provided

Year: 2023

Journal: Journal of Marine Science and Engineering

DOI: 10.3390/jmse11071462

“Wave-induced vibration of a fully submerged horizontal cylinder close to a free surface: a theory and experiment”

Authors: Not provided

Year: 2022

Journal: Ships and Offshore Structures

DOI: 10.1080/17445302.2021.1950344

“Assessment of Excessive Acceleration of the IMO Second Generation Intact Stability Criteria for the Tanker”

Authors: Not provided

Year: 2022

Journal: Journal of Marine Science and Engineering

DOI: 10.3390/jmse10020229

Conclusion

Assist. Prof. Dr. Dongmin Shin’s strong educational background, extensive professional experience, innovative research contributions, commitment to teaching and mentoring, and effective research management make him a highly suitable candidate for the Best Researcher Award. His achievements across academia, applied research, and project management reflect the qualities recognized by this award, underscoring his potential to continue contributing meaningfully to engineering and research fields.

Jian-Fei Sun | Engineering | Best Researcher Award

Posted on 04/11/202404/11/2024 by Physicist Particle

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

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

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

PROFILE

Orcid Profile

Scopus Profile

Educational Details

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

Professional Experience

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

Research Interest

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

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

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

Research Innovations

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

Top Notable Publications

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

Citations: 0

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

Citations: 2

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

Citations: 5

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

Citations: 0

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

Citations: 1

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

Citations: 0

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

Citations: 9

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

Citations: 2

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

Citations: 7

Conclusion

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

Sowon Choi | Engineering | Women Researcher Award

Posted on 30/10/202430/10/2024 by Physicist Particle

Dr. Sowon Choi | Engineering | Women Researcher Award

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

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

PROFILE

Orcid Profile

Educational Details

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

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

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

Professional Experience

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

Research Interest

AI-driven project management and analysis of unstructured text data

Big data applications in EPC project management

Strategic and marketing planning within the engineering and technology sectors

Top Notable Publications

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

Authors: To be determined

Journal: Sustainability

Date: 2024-03-27

DOI: 10.3390/su16072770

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

Authors: To be determined

Journal: Energies

Date: 2024-03-23

DOI: 10.3390/en17071536

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

Authors: To be determined

Journal: Energies

Date: 2023-09-30

DOI: 10.3390/en16196907

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

Authors: To be determined

Journal: Electronics

Date: 2023-06-01

DOI: 10.3390/electronics12112504

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

Authors: To be determined

Journal: Sustainability

Date: 2023-05-07

DOI: 10.3390/su15097676

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

Authors: To be determined

Journal: Energies

Date: 2023-05

DOI: 10.3390/en16114271

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

Authors: To be determined

Journal: Sustainability

Date: 2023-04-08

DOI: 10.3390/su15086393

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

Authors: To be determined

Journal: Sustainability

Date: 2023-04-06

DOI: 10.3390/su15076319

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

Authors: To be determined

Journal: Sustainability

Date: 2022-08-12

DOI: 10.3390/su141610010

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

Authors: To be determined

Journal: Sustainability

Date: 2022-06-06

DOI: 10.3390/su14116938

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

Authors: To be determined

Journal: Sustainability

Date: 2021-09

DOI: 10.3390/su131810384

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

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

Journal: Energies

Date: 2021-07-30

DOI: 10.3390/en14154632

Conclusion

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

Masahiro Nishida | Impact Engineering | Best Researcher Award

Posted on 18/10/202418/10/2024 by Physicist Particle

Dr. Masahiro Nishida | Impact Engineering | Best Researcher Award

Prof. Masahiro Nishida, Nagoya Institute of Technology, Japan

Prof. Masahiro Nishida, currently a professor at Nagoya Institute of Technology, specializes in mechanical engineering with a focus on dynamic responses in solid structures, hypervelocity impacts, and the mechanical behavior of advanced and heterogeneous materials. He holds a Ph.D. from Tokyo Institute of Technology and has been active in academia since 1996, publishing over 60 papers in his field. He also serves as the General Manager of the Quality Innovation Techno-Center at Nagoya Institute of Technology.

PROFILE

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 “Evaluation Method of Mechanical Properties for Material by Phase-Sensitive Acoustic Microscope”.

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 Luleå University of Technology, Sweden, in 2009.

Research Interest

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 poly‐3‐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.

Alex Chandraraj | Engineering | Excellence in Research

Posted on 05/09/202416/09/2024 by Physicist Particle

Dr. Alex Chandraraj | Engineering | Excellence in Research

Dr. Alex Chandraraj, Kieluniversity, Germany

Dr. Alex Chandraraj is a post-doctoral fellow at Christian-Albrechts-Universität zu Kiel, Germany. He holds a Ph.D. in Physics, specializing in condensed matter physics and materials science. His research focuses on advanced materials, nanostructures, and their applications in renewable energy technologies. Dr. Chandraraj has authored several peer-reviewed publications in prestigious scientific journals and has presented his work at international conferences. He is dedicated to exploring innovative solutions to global energy challenges through material science.

PROFILE

Orcid Profile

Educational Details

Dr. Chandraraj earned his Ph.D. in Chemistry, specializing in electro-catalysis, from the Centre for Nano and Soft Matter Sciences, Bangalore, in 2022. His thesis, titled “Nanomaterials for Electrochemical Water Activation,” was supervised by Dr. Neena Susan John. He also holds an M.Sc. (2014) and B.Sc. (2012) in Chemistry from S.T. Hindu College, Nagercoil, affiliated with Manonmaniam Sundaranar University, where he was a university rank holder in both degrees.

Professional Experience

Dr. Alex Chandraraj has extensive experience in the field of electro-catalysis, having worked on various research projects focused on advanced nanomaterials and sustainable energy applications. Since February 2024, he has been a Post-doctoral Fellow at Christian-Albrechts-Universität zu Kiel, Germany, where he focuses on modifying nickel surfaces through wet-chemical deposition as part of the PrometH2eus project. His work aims to enhance the performance of nickel-based catalysts for energy-efficient applications. Prior to this, from August 2023 to January 2024, he was a Guest Researcher at the same institution, where he investigated oxide interface structures under real-time reaction conditions using operando surface X-ray diffraction techniques. Between February 2022 and July 2023, he served as a Project Associate at the Centre for Nano and Soft Matter Sciences in Bangalore, where he developed and characterized high-valent nickel-based electrocatalysts for urea electrolysis, emphasizing hydrogen production and energy efficiency. Additionally, as a Research Associate from August 2022 to January 2023, Dr. Chandraraj contributed to the development of nanomaterials for catalytic processes and renewable energy applications. His diverse research background underscores his expertise in electro-catalysis and nanomaterials for clean energy technologies.

Research Interest

Dr. Alex Chandraraj’s research focuses on electro-catalysis and advanced nanomaterials, with a particular emphasis on sustainable energy solutions. His work explores the use of nanomaterials and metal oxides in water splitting and electrochemical water activation, aiming to improve the efficiency of hydrogen production through oxygen and hydrogen evolution reactions. He is also deeply involved in urea electrolysis, where he investigates high-valent nickel-based catalysts to develop cost-effective and energy-efficient processes for hydrogen production from urea-based waste. Additionally, Dr. Chandraraj’s research addresses nitrate and oxygen reduction reactions by tuning metal oxidation states in catalyst systems, optimizing their performance for environmental and energy applications. His broader goal is to innovate in renewable energy by developing advanced nanomaterials and surface modifications that enhance the efficiency and durability of catalysts used in clean energy technologies.

Top Notable Publications

“Role of active redox sites and charge transport resistance at reaction potentials in spinel ferrites for improved oxygen evolution reaction”