Prof. Dr. Lijun You | Engineering | Best Researcher Award

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Prof. Dr. Lijun You | Engineering | Best Researcher Award

Professor at South China University of Technology, China

Prof. Lijun You, a leading scholar in food science, currently serves as a professor at the School of Food Science and Engineering, South China University of Technology (SCUT). With over two decades of academic and research engagement, he has carved a specialized niche in polysaccharide science—exploring their degradation pathways, molecular structures, biofunctions, and biomedical applications. His international exposure includes a formative research stint at Cornell University, USA. He has authored more than 160 peer-reviewed publications, garnering over 8,000 citations and achieving an impressive h-index of 53. His investigations span from seaweed-derived polysaccharides to their transformative impact on skin health, inflammation, gut ecology, and wound repair. As department director since 2016 and professor since 2020, he has guided both institutional growth and scientific inquiry. Prof. You’s innovative contributions not only advance polysaccharide-based therapeutics but also position him as a recognized authority in food bioactives and functional biomaterials research.

Professional Profile 

Education

Prof. Lijun You’s educational journey began and flourished at South China University of Technology, where he earned both his bachelor’s (2001–2005) and doctoral degrees (2005–2010) in Food Science. His doctoral research laid a strong foundation for his future exploration of polysaccharides and their multifaceted applications in health and medicine. To complement his domestic training, he expanded his academic horizon internationally by spending a year (2009–2010) at Cornell University, USA, as a non-degree scholar. There, he gained vital exposure to advanced methodologies and interdisciplinary food science paradigms. This combination of strong local grounding and international perspective has deeply informed his research philosophy and academic rigor. His educational path is emblematic of a scholar committed to lifelong learning, cross-border collaboration, and translational research. This fusion of technical depth and global awareness has propelled Prof. You into the forefront of food biochemistry and polysaccharide innovation.

Professional Experience

Prof. Lijun You’s professional ascent within the South China University of Technology is marked by leadership, mentorship, and research excellence. Since joining the School of Food Science and Engineering, he has taken on progressive responsibilities, culminating in his promotion to full professor in 2020. He assumed the role of Department Director of Food Science in 2016, where he continues to oversee academic strategy, curriculum development, and collaborative research initiatives. Prof. You’s administrative acumen complements his scientific pursuits, allowing him to foster a research-driven academic culture within the department. Through his leadership, SCUT’s food science program has gained visibility in polysaccharide research and international academic networks. His career reflects a rare synergy of educator, manager, and innovator—advancing both the scholarly community and institutional reputation. His professional milestones underscore a dedication to excellence, from teaching and mentoring to groundbreaking explorations in bioactive compounds and functional materials.

Research Interests

At the heart of Prof. Lijun You’s scientific mission lies an intense focus on polysaccharides—complex carbohydrates with vast therapeutic potential. His research encompasses four interconnected domains: the controlled degradation of seaweed polysaccharides, detailed analysis of their molecular architecture, the examination of their bioactive roles (notably in anti-photoaging, anti-inflammatory functions, and gut microbiota modulation), and the development of polysaccharide-based hydrogels for biomedical uses like wound healing. His multidisciplinary work bridges food science, biochemistry, pharmacology, and materials engineering, offering insights into the therapeutic potential of natural biopolymers. By decoding structure–function relationships, Prof. You reveals how polysaccharides can serve as nutraceuticals and advanced wound-care agents. His contributions have shaped not just scholarly discourse, but also future prospects in functional foods and regenerative medicine. With over 8,000 citations and a publication record of 166 scientific articles, his research continues to guide the field toward innovative health-promoting solutions grounded in food-derived compounds.

Awards and Honors

While specific awards and honors are not listed, Prof. Lijun You’s distinguished citation metrics—over 8,000 citations and an h-index of 53—stand as testament to his widespread recognition in the global research community. These achievements suggest a strong impact across scientific disciplines, especially within polysaccharide and functional food research. His selection for an international academic exchange at Cornell University indicates peer recognition of his potential early in his career. In addition, his longstanding leadership as department director reflects institutional confidence in his strategic vision and academic leadership. His frequent publication in high-impact journals and sustained research output also imply numerous internal and external acknowledgments. Though formal accolades are not detailed here, Prof. You’s academic footprint and leadership roles highlight a scholar whose work has earned both national and international esteem, reinforcing his role as a key contributor to the advancement of food science and health-related biomaterials.

Publications Top Notes

  • Title: Effect of degree of hydrolysis on the antioxidant activity of loach (Misgurnus anguillicaudatus) protein hydrolysates
    Authors: L. You, M. Zhao, C. Cui, H. Zhao, B. Yang
    Year: 2009
    Citations: 377
    Source: Innovative Food Science & Emerging Technologies, 10(2), 235–240

  • Title: Changes in the antioxidant activity of loach (Misgurnus anguillicaudatus) protein hydrolysates during a simulated gastrointestinal digestion
    Authors: L. You, M. Zhao, J.M. Regenstein, J. Ren
    Year: 2010
    Citations: 365
    Source: Food Chemistry, 120(3), 810–816

  • Title: In vitro antioxidant activity and in vivo anti-fatigue effect of loach (Misgurnus anguillicaudatus) peptides prepared by papain digestion
    Authors: L. You, M. Zhao, J.M. Regenstein, J. Ren
    Year: 2011
    Citations: 363
    Source: Food Chemistry, 124(1), 188–194

  • Title: Optimization for ultrasound extraction of polysaccharides from mulberry fruits with antioxidant and hyperglycemic activity in vitro
    Authors: C. Chen, L.J. You, A.M. Abbasi, X. Fu, R.H. Liu
    Year: 2015
    Citations: 315
    Source: Carbohydrate Polymers, 130, 122–132

  • Title: Purification and identification of antioxidative peptides from loach (Misgurnus anguillicaudatus) protein hydrolysate by consecutive chromatography and electrospray ionization-MS/MS
    Authors: L. You, M. Zhao, J.M. Regenstein, J. Ren
    Year: 2010
    Citations: 257
    Source: Food Research International, 43(4), 1167–1173

  • Title: Transforming insect biomass into consumer wellness foods: A review
    Authors: D. Sun-Waterhouse, G.I.N. Waterhouse, L. You, J. Zhang, Y. Liu, L. Ma, J. Gao, …
    Year: 2016
    Citations: 233
    Source: Food Research International, 89, 129–151

  • Title: Characterization of polysaccharide fractions in mulberry fruit and assessment of their antioxidant and hypoglycemic activities in vitro
    Authors: C. Chen, L.J. You, A.M. Abbasi, X. Fu, R.H. Liu, C. Li
    Year: 2016
    Citations: 221
    Source: Food & Function, 7(1), 530–539

  • Title: Structural characterisation of polysaccharides from Tricholoma matsutake and their antioxidant and antitumour activities
    Authors: L. You, Q. Gao, M. Feng, B. Yang, J. Ren, L. Gu, C. Cui, M. Zhao
    Year: 2013
    Citations: 210
    Source: Food Chemistry, 138(4), 2242–2249

  • Title: Optimization of microwave-assisted extraction of Sargassum thunbergii polysaccharides and its antioxidant and hypoglycemic activities
    Authors: B. Ren, C. Chen, C. Li, X. Fu, L. You, R.H. Liu
    Year: 2017
    Citations: 209
    Source: Carbohydrate Polymers, 173, 192–201

  • Title: Characterization, antioxidant and immunomodulatory activities of polysaccharides from Prunella vulgaris Linn
    Authors: C. Li, Q. Huang, X. Fu, X.J. Yue, R.H. Liu, L.J. You
    Year: 2015
    Citations: 207
    Source: International Journal of Biological Macromolecules, 75, 298–305

Conclusion

Prof. Lijun You represents a dynamic blend of academic excellence, international perspective, and scientific innovation in the realm of food science and engineering. His deep specialization in polysaccharide chemistry and bioactivity has driven meaningful contributions to health sciences, particularly in areas like gut health, skincare, and tissue repair. With a foundation built at SCUT and refined at Cornell, his education and professional pathway reflect global competence and leadership. As a professor and department director, he mentors the next generation of scientists while steering research initiatives with clarity and purpose. His prolific publication record and high citation index underscore a lasting impact on scholarly literature. Though specific awards are not enumerated, the scope and influence of his work stand as accolades in themselves. Prof. You continues to shape the future of functional foods and biopolymer applications, offering innovative solutions that blend traditional knowledge with cutting-edge science.

Lei Liu | Engineering | Best Researcher Award

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Prof. Lei Liu | Engineering | Best Researcher Award

Professor at Zhejiang University, China

Prof. Liu Lei is a Young Profenications, information theory, and signal processing. Liu received his Ph.D. in Communication and Information Systems from Xidian University and enriched his academic foundation as a visiting scholar at NTU Singapore. His postdoctoral and research appointments span SUTD, CityU Hong Kong, and JAIST Japan. Honored under ZJU’s Hundred Talents Program, he actively leads in editorial and conference roles. With a track record of cutting-edge research, Prof. Liu has authored 39+ high-impact journal articles and continues to influence future innovations in modern channel coding and massive MIMO. 🧠📡

Professional Profile 

🎓 Education

Prof. Liu Lei began his academic journey in 2011 at Xidian University, earning his Ph.D. in Communication and Information System in March 2017. During his doctoral studies, he broadened his expertise with a prestigious exchange opportunity at Nanyang Technological University (NTU), Singapore (2014–2016), where he engaged with globally renowned researchers in the field of Electrical and Electronic Engineering. This international exposure shaped his foundational understanding of statistical signal processing and message-passing algorithms. His academic pursuits combined rigorous theoretical knowledge with practical algorithmic development, laying the groundwork for his future innovations in wireless communication systems and information theory. 📘🌍🎓

💼Experience 

Prof. Liu Lei has cultivated a rich academic career across leading global institutions. He began as a Postdoctoral Research Fellow at SUTD, Singapore (2016–2017), followed by a Research Fellow role at City University of Hong Kong (2017–2019). He then served as Assistant Professor at JAIST, Japan (2019–2023), achieving top research rankings among faculty. Since 2023, he has been a Tenure-Track Young Professor and Doctoral Supervisor at Zhejiang University. His expertise spans message passing, compressed sensing, and channel coding. Prof. Liu has been active in IEEE conferences, serving in key editorial and chairing roles, and is a notable reviewer for top-tier journals. 🌏📚🏫

🏆 Awards & Honors

Prof. Liu Lei has received several prestigious accolades for his research excellence. In 2023, he was honored with the Young Star Award and the Best Poster Award at the 30th Chinese Institute of Electronics Conference on Information Theory (CIEIT), recognizing his impactful contributions to information theory. His dedication to academic rigor earned him the Exemplary Reviewer Award from IEEE Transactions on Communications in 2020, an honor bestowed on less than 2% of reviewers. These distinctions underscore his leadership in developing cutting-edge algorithms and his commitment to advancing wireless communication systems. 🥇🎖️🏅

🔬 Research Focus 

Prof. Liu’s research focuses on the development of high-performance algorithms and theoretical frameworks in wireless communications. His interests include Message Passing Theory, Statistical Signal Processing, Compressed Sensing, Modern Channel Coding, and Information Theory. He is especially noted for innovations in Approximate Message Passing (AMP) and Orthogonal AMP (OAMP) algorithms. His work aims to optimize capacity and performance in massive MIMO, NOMA, and RIS-aided systems. Prof. Liu’s vision integrates theoretical depth with engineering applications, contributing to next-generation communication systems with greater efficiency, robustness, and scalability. 📡📊🔍

🛠️ Skills 

Prof. Liu Lei has extensive expertise in 📶 wireless communication, particularly in emerging technologies such as massive MIMO, NOMA, mmWave, and Integrated Sensing and Communication (ISAC) systems. His work contributes to optimizing spectral efficiency and network reliability in next-generation wireless networks.

In the field of 📐 signal processing, he is highly skilled in compressed sensing and advanced channel estimation techniques, which enhance data recovery and transmission accuracy in complex environments.

His foundation in 📊 information theory is robust, focusing on coding theory, achievable rates, and capacity optimization, all critical to efficient communication system design.

Prof. Liu is also a specialist in 🧮 message passing algorithms, including AMP, OAMP, GAMP, and GVAMP, which he applies to both theoretical models and practical systems.

He leverages 🔗 machine learning tools such as neural networks and variational inference to improve signal decoding.

In addition, he is experienced in 📚 academic publishing and 🧑‍🏫 teaching, mentoring students in both foundational and advanced courses.

📚 Publications Top Note 

  1. Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems

    • 🧑‍🤝‍🧑 Authors: C. Huang, L. Liu, C. Yuen, S. Sun

    • 📰 Journal: IEEE Transactions on Signal Processing

    • 🔢 Citations: 161

    • 📅 Year: 2018

  2. Capacity-Achieving MIMO-NOMA: Iterative LMMSE Detection

    • 🧑‍🤝‍🧑 Authors: L. Liu, Y. Chi, C. Yuen, Y.L. Guan, Y. Li

    • 📰 Journal: IEEE Transactions on Signal Processing

    • 🔢 Citations: 151

    • 📅 Year: 2019

  3. User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled IoT

    • 🧑‍🤝‍🧑 Authors: Z. Zhang, Y. Li, C. Huang, Q. Guo, L. Liu, C. Yuen, Y.L. Guan

    • 📰 Journal: IEEE Internet of Things Journal

    • 🔢 Citations: 149

    • 📅 Year: 2020

  4. Gaussian Message Passing for Overloaded Massive MIMO-NOMA

    • 🧑‍🤝‍🧑 Authors: L. Liu, C. Yuen, Y.L. Guan, Y. Li, C. Huang

    • 📰 Journal: IEEE Transactions on Wireless Communications

    • 🔢 Citations: 140

    • 📅 Year: 2019

  5. Convergence Analysis and Assurance for Gaussian Message Passing in Massive MU-MIMO Systems

    • 🧑‍🤝‍🧑 Authors: L. Liu, C. Yuen, Y.L. Guan, Y. Li, Y. Su

    • 📰 Journal: IEEE Transactions on Wireless Communications

    • 🔢 Citations: 108

    • 📅 Year: 2016

  6. Practical MIMO-NOMA: Low Complexity and Capacity-Approaching Solution

    • 🧑‍🤝‍🧑 Authors: Y. Chi, L. Liu, G. Song, C. Yuen, Y.L. Guan, Y. Li

    • 📰 Journal: IEEE Transactions on Wireless Communications

    • 🔢 Citations: 84

    • 📅 Year: 2018

  7. Memory AMP

    • 🧑‍🤝‍🧑 Authors: L. Liu, S. Huang, B.M. Kurkoski

    • 📰 Journal: IEEE Transactions on Information Theory

    • 🔢 Citations: 83

    • 📅 Year: 2022

  8. Orthogonal AMP for Massive Access in Channels with Spatial and Temporal Correlations

    • 🧑‍🤝‍🧑 Authors: Y. Cheng, L. Liu, L. Ping

    • 📰 Journal: IEEE Journal on Selected Areas in Communications

    • 🔢 Citations: 68

    • 📅 Year: 2021

  9. Capacity Optimality of AMP in Coded Systems

    • 🧑‍🤝‍🧑 Authors: L. Liu, C. Liang, J. Ma, L. Ping

    • 📰 Journal: IEEE Transactions on Information Theory

    • 🔢 Citations: 53

    • 📅 Year: 2021

  10. On Orthogonal AMP in Coded Linear Vector Systems

    • 🧑‍🤝‍🧑 Authors: J. Ma, L. Liu, X. Yuan, L. Ping

    • 📰 Journal: IEEE Transactions on Wireless Communications

    • 🔢 Citations: 39

    • 📅 Year: 2019

  11. A New Insight into GAMP and AMP

    • 🧑‍🤝‍🧑 Authors: L. Liu, Y. Li, C. Huang, C. Yuen, Y.L. Guan

    • 📰 Journal: IEEE Transactions on Vehicular Technology

    • 🔢 Citations: 31

    • 📅 Year: 2019

  12. Over-the-Air Implementation of Uplink NOMA

    • 🧑‍🤝‍🧑 Authors: S. Abeywickrama, L. Liu, Y.C. Yuhao, Chi

    • 📰 Conference: IEEE Globecom

    • 🔢 Citations: 31

    • 📅 Year: 2018

  13. Asymptotically Optimal Estimation for Sparse Signal with Arbitrary Distributions

    • 🧑‍🤝‍🧑 Authors: C. Huang, L. Liu, C. Yuen

    • 📰 Journal: IEEE Transactions on Vehicular Technology

    • 🔢 Citations: 28

    • 📅 Year: 2018

🏁 Conclusion

Dr. Lei Liu exemplifies the qualities of a Best Researcher Award recipient: depth in theoretical research, breadth in global experience, and excellence in teaching and mentorship. His leadership roles, prolific output, and rising trajectory within academic and engineering communities make him a model scholar in the communications field. While areas like applied innovation and interdisciplinary expansion offer room for growth, his current achievements already place him at the forefront of his domain.

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

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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

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📚 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 🔋🔬.

Elżbieta Jarzębowska | Engineering | Best Researcher Award

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Prof. Elżbieta Jarzębowska | Engineering | Best Researcher Award

Prof. Elżbieta Jarzębowska at Warsaw University of Technology, Poland

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

Professional Profile:

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🔹 Education and Experience 

🎓 Education

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

  • 📚 Specialization in control and mechanics of constrained systems

💼 Experience

  • 🏫 Professor at Warsaw University of Technology

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

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

  • 🎓 Visiting researcher at Cranfield University, UK

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

🔹 Professional Development 

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

🔹 Research Focus 

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

🔹 Awards and Honors 

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

Publication Top Notes

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

  • Journal: Chemical Physics Letters

  • Year: 2018

  • DOI: 10.1016/j.cplett.2018.04.056

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

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

  • Journal: Journal of Rare Earths

  • Year: 2016

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

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

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

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

  • Journal: Archives of Metallurgy and Materials

  • Year: 2015

  • DOI: 10.1515/amm-2015-0278

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

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

  • Journal: Archives of Metallurgy and Materials

  • Year: 2014

  • DOI: 10.2478/amm-2014-0278

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

6. Influence of Milling Media on Mechanically Exfoliated MoS₂

  • Journal: Nanomaterials and Nanotechnology

  • Year: 2014

  • DOI: 10.5772/59903

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

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

  • Journal: Journal of Crystal Growth

  • Year: 2014

  • DOI: 10.1016/j.jcrysgro.2014.01.061

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

8. Nanobainitic Structure Recognition and Characterization Using Transmission Electron Microscopy

  • Journal: Archives of Metallurgy and Materials

  • Year: 2014

  • DOI: 10.2478/amm-2014-0277

  • Focus: Characterization of nanostructured steels via TEM.

9. HRTEM and LACBED of Zigzag Boundaries in GaN Epilayers

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

Conclusion:

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

Farshad Nobakhtkolour | Engineering | Best Researcher Award

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Mr. Farshad Nobakhtkolour | Engineering | Best Researcher Award

Researcher at K.N.Toosi University of Technology, Iran

Farshad Nobakht-Kolur 🎓 is a passionate civil engineer specializing in marine structures and offshore renewable energy 🌊⚡. He earned his M.Sc. in Coasts, Ports, and Marine Structures from K. N. Toosi University of Technology and his B.Sc. in Civil Engineering from Shahrood University 🏫. Farshad’s research focuses on floating structures, marine hydrodynamics, and aquaculture engineering 🚢🌱. He has published multiple journal papers and served as a peer reviewer 📚🖋️. A top-ranked student throughout his academic journey 🏆, he continues to contribute actively to the marine engineering community through research, reviews, and professional memberships 🤝.

Professional Profile:

Orcid

Scopus

🔵 Education and Experience 

  • 🎓 M.Sc. in Coasts, Ports, and Marine Structures – K. N. Toosi University of Technology (2016-2019)

  • 🎓 B.Sc. in Civil Engineering – Shahrood University of Technology (2009-2013)

  • 🏫 Diploma in Mathematics and Physics – Bagher-al-Olum High School (2005-2009)

  • 👨‍🏫 Teaching Assistant – Shahrood University of Technology (Statics & Steel Structures Courses)

  • 🧪 Researcher – Published papers in top marine and fluid mechanics journals

  • 📑 Conference Presenter – Marine Industries Conference and academic workshops

🔵 Professional Development 

Farshad Nobakht-Kolur has actively contributed to professional growth through memberships and peer reviewing 🛠️📖. He is a member of the Iranian Coastal and Marine Structural Engineering Association (ICOMSEA) 🌐, and The American Society for Nondestructive Testing (ASNT) 🧪🔍. Farshad has reviewed articles for prestigious journals like Ocean Engineering and Journal of Modern Green Energy ✍️📘. His commitment to continuous learning and sharing knowledge is evident through his workshop presentations, paper publications, and involvement with academic and industrial bodies 🌟. Farshad’s work bridges the gap between theoretical research and real-world marine engineering solutions 🌊🔗.

🔵 Research Focus Category 

Farshad Nobakht-Kolur’s research focus lies in marine and offshore engineering 🌊🔧. His primary interests include floating wind turbines, floating solar islands, offshore renewable energy structures, and aquaculture engineering 🌱⚡. He specializes in fluid-structure interaction, experimental modeling, and numerical simulation 🧪💻. Farshad’s work emphasizes sustainable marine structures like floating seaweed farms and hybrid platforms that support renewable energy production and food security 🌿🔋. Through advanced physical modeling and hydrodynamic analysis, he contributes innovative solutions to the growing demands of the offshore and marine industry 🚢🌍.

🔵 Awards and Honors 

  • 🥇 First rank – Best Graduate M.Sc. Students in Marine Engineering, Iranian Marine Industries Organization, 2022

  • 🥈 Second rank – Top MSc Students in Marine Structure Engineering, 2019

  • 🧠 Top 1% – MSc Entrance Exam of Universities, 2016

  • 🎓 Top 10% – B.Sc. Students in Civil Engineering, 2013

  • 🧠 Top 1% – University Entrance Exam, 2009

  • 🎖️ Top 10 – High School Graduates, 2009

Publication Top Notes

  1. Effects of soft marine fouling on wave-induced forces in floating aquaculture cages: Physical model testing under regular waves

    • Journal: Ocean Engineering

    • Date: October 2021

    • DOI: 10.1016/j.oceaneng.2021.109759

    • Focus: How soft biofouling (like algae and soft marine growth) changes the forces exerted on aquaculture cages when regular waves hit them, using physical model tests.

  2. Hydrodynamic forces in marine-fouled floating aquaculture cages: Physical modelling under irregular waves

    • Journal: Journal of Fluids and Structures

    • Date: August 2021

    • DOI: 10.1016/j.jfluidstructs.2021.103331

    • Focus: Similar to above but testing under irregular waves (more realistic sea conditions), focusing on how fouling affects hydrodynamic forces.

  3. Wave attenuation/build-up around and inside marine fouled floating aquaculture cages under regular wave regimes

    • Journal: Journal of Ocean Engineering and Marine Energy

    • Date: February 24, 2021

    • DOI: 10.1007/s40722-021-00186-y

    • Focus: Investigating wave energy behavior—whether it’s dampened (attenuated) or amplified (build-up)—around/inside fouled cages during regular waves.

  4. Experimental Modelling of Biofouling Effects on the Regular and Irregular Waves Load in Aquaculture Cages

    • Institution: K. N. Toosi University of Technology

    • Type: Dissertation/Thesis

    • Year: 2019

    • DOI: 10.13140/RG.2.2.28208.48644

    • Focus: The early foundational work by Farshad Nobakht-Kolur, focusing on both regular and irregular waves and their loading effects on biofouled cages, likely forming the base for the later journal papers.

Conclusion

Farshad Nobakht-Kolur demonstrates all the qualities of a promising and impactful researcher: scientific excellence, originality, practical application of research, international publication record, and community engagement.
In my opinion, he is a highly suitable and strong candidate for the Best Researcher Award — particularly within the fields of marine structures, offshore engineering, and renewable energy systems.

Guanwei Jia | Engineering | Best Researcher Award

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Dr. Guanwei Jia | Engineering | Best Researcher Award

Associate Professor at Henan University, China

Guanwei jia (born in 1982) is an associate professor at the School of Physics and Electronics, Henan University, China. He holds a BSc in Electronic Information Engineering (2006), an MSc in Mechanical Engineering (2012), and a Ph.D. in Mechanical Engineering from Beihang University (2018). His research focuses on hydrogen-blended natural gas pipeline transportation and energy storage. By Spring 2025, he has 38 publications indexed in Web of Science. His contributions aim to enhance energy efficiency and sustainable energy solutions, making him a key figure in the field of energy engineering. 🔬⚡

Professional Profile:

Orcid

Education & Experience 🎓📜

  • BSc in Electronic Information Engineering – 2006 🎓📡

  • MSc in Mechanical Engineering – 2012 🛠️📊

  • Ph.D. in Mechanical Engineering (Beihang University) – 2018 🎓⚙️

  • Associate Professor, Henan University – Present 🎓🏛️

Professional Development 🚀🔍

Guanwei jia has significantly contributed to energy research, particularly in hydrogen-blended natural gas pipeline transportation and energy storage. His work integrates advanced mechanical engineering techniques with sustainable energy solutions. With 38 Web of Science-indexed publications, his research provides insights into energy optimization and pipeline safety. He collaborates with industry and academia to advance clean energy technologies. As an associate professor, he mentors students and leads research projects, fostering innovation in energy sustainability. His efforts in alternative energy solutions contribute to global efforts for a cleaner and more efficient energy future. 🔬⚡🌍

Research Focus 🔬⚡

Guanwei jia specializes in hydrogen-blended natural gas transportation and energy storage, addressing key challenges in pipeline safety, efficiency, and sustainability. His research explores how hydrogen integration in natural gas pipelines enhances energy efficiency while reducing carbon emissions. By leveraging mechanical engineering principles, he aims to develop secure and cost-effective storage solutions. His studies help advance the transition toward renewable energy, making natural gas pipelines adaptable for future hydrogen-based energy systems. His findings are valuable for energy infrastructure development, ensuring a safer, cleaner, and more efficient energy network for the future. ⚙️🌍⚡

Awards & Honors 🏆🎖️

  • 38 Web of Science-indexed publications 📑🔍

  • Recognized for contributions to hydrogen-blended gas research ⚡🔬

  • Active mentor and researcher in energy storage solutions 🎓📚

  • Key collaborator in sustainable energy initiatives 🌍🔋

Publication Top Notes

  1. “Water Vapour Condensation Behaviour within Hydrogen-Blended Natural Gas in Laval Nozzles”

    • Authors: Not specified in the provided information.

    • Journal: Case Studies in Thermal Engineering

    • Publication Date: March 2025

    • DOI: 10.1016/j.csite.2025.106064

    • Summary: This study investigates how water vapor condenses in hydrogen-blended natural gas as it flows through Laval nozzles. Understanding this behavior is crucial for optimizing nozzle design and ensuring efficient operation in systems utilizing hydrogen-enriched natural gas.​

  2. “Simulation Study on Hydrogen Concentration Distribution in Hydrogen Blended Natural Gas Transportation Pipeline”

    • Authors: Not specified in the provided information.

    • Journal: PLOS ONE

    • Publication Date: December 3, 2024

    • DOI: 10.1371/journal.pone.0314453

    • Summary: This research employs simulations to analyze how hydrogen distributes within natural gas pipelines when blended. The findings provide insights into maintaining consistent hydrogen concentrations, which is vital for pipeline safety and efficiency.​

  3. “Numerical Simulation of the Transport and Thermodynamic Properties of Imported Natural Gas Injected with Hydrogen in the Manifold”

    • Authors: Not specified in the provided information.

    • Journal: International Journal of Hydrogen Energy

    • Publication Date: February 2024

    • DOI: 10.1016/j.ijhydene.2023.11.178

    • Summary: This paper presents numerical simulations examining how injecting hydrogen into imported natural gas affects its transport and thermodynamic properties within a manifold. The study aims to inform strategies for integrating hydrogen into existing natural gas infrastructures.​

  4. “Performance Analysis of Multiple Structural Parameters of Injectors for Hydrogen-Mixed Natural Gas Using Orthogonal Experimental Methods”

    • Authors: Not specified in the provided information.

    • Journal: Physics of Fluids

    • Publication Date: November 1, 2023

    • DOI: 10.1063/5.0175018

    • Summary: This study evaluates how various structural parameters of injectors influence the performance of hydrogen-mixed natural gas systems. Using orthogonal experimental methods, the research identifies optimal injector designs to enhance efficiency and reliability.​

  5. “Ultrasonic Gas Flow Metering in Hydrogen-Mixed Natural Gas Using Lamb Waves”

    • Authors: Not specified in the provided information.

    • Journal: AIP Advances

    • Publication Date: November 1, 2023

    • DOI: 10.1063/5.0172477

    • Summary: This paper explores the application of Lamb waves in ultrasonic gas flow metering for hydrogen-mixed natural gas. The research demonstrates the effectiveness of this non-contact method in accurately measuring gas flow, which is essential for monitoring and controlling gas distribution systems.

Conclusion

While Guanwei Jia has made valuable contributions to the field of hydrogen energy and pipeline transportation, his suitability for a Best Researcher Award would depend on additional factors such as citations, research impact, industry collaborations, patents, and leadership in major projects. If he has demonstrated exceptional influence beyond publications—such as shaping energy policies, leading significant projects, or achieving high citation impact—he would be a strong candidate for the award.

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. 🌍🔬

Professional Profile 

Education & Experience 🎓🔧

  • Ph.D. in Material Physics and Chemistry (2019-2024) 📚

    • 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) 🏗️

    • 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) 🏭

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

  • Work Experience 👨‍🏫

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

Professional Development 🚀

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. 📈🔬💡

Research Focus 🔍

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. ⚙️🛠️📊

Awards & Honors 🏆

  • Chinese Government Scholarship (2015-2018) 🇨🇳
  • Institute of Metal Research Scholarship, CAS (2019-2024) 🏅

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.

Jian-Fei Sun | Engineering | Best Researcher Award

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

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

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

PROFILE

Orcid Profile

Scopus Profile

Educational Details

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

Professional Experience

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

Research Interest

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

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

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

Research Innovations

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

Top Notable Publications

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

Citations: 0

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

Citations: 2

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

Citations: 5

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

Citations: 0

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

Citations: 1

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

Citations: 0

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

Citations: 9

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

Citations: 2

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

Citations: 7

Conclusion

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

 

 

 

Sowon Choi | Engineering | Women Researcher Award

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Dr. Sowon Choi | Engineering | Women Researcher Award

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

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

PROFILE

Orcid Profile

Educational Details

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

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

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

Professional Experience

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

Research Interest

 

AI-driven project management and analysis of unstructured text data

Big data applications in EPC project management

Strategic and marketing planning within the engineering and technology sectors

Top Notable Publications

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

Authors: To be determined

Journal: Sustainability

Date: 2024-03-27

DOI: 10.3390/su16072770

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

Authors: To be determined

Journal: Energies

Date: 2024-03-23

DOI: 10.3390/en17071536

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

Authors: To be determined

Journal: Energies

Date: 2023-09-30

DOI: 10.3390/en16196907

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

Authors: To be determined

Journal: Electronics

Date: 2023-06-01

DOI: 10.3390/electronics12112504

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

Authors: To be determined

Journal: Sustainability

Date: 2023-05-07

DOI: 10.3390/su15097676

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

Authors: To be determined

Journal: Energies

Date: 2023-05

DOI: 10.3390/en16114271

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

Authors: To be determined

Journal: Sustainability

Date: 2023-04-08

DOI: 10.3390/su15086393

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

Authors: To be determined

Journal: Sustainability

Date: 2023-04-06

DOI: 10.3390/su15076319

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

Authors: To be determined

Journal: Sustainability

Date: 2022-08-12

DOI: 10.3390/su141610010

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

Authors: To be determined

Journal: Sustainability

Date: 2022-06-06

DOI: 10.3390/su14116938

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

Authors: To be determined

Journal: Sustainability

Date: 2021-09

DOI: 10.3390/su131810384

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

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

Journal: Energies

Date: 2021-07-30

DOI: 10.3390/en14154632

Conclusion

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

 

 

 

Lakshakoti Bochu | Engineering | Best Researcher Award

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Lakshakoti Bochu | Engineering | Best Researcher Award

Orcid Profile

Educational Details:

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

Technical Skills 

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

Work Experience

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

Top Notable Publications

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

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

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

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

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

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

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

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

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

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