Lijun Chen | Engineering | Best Researcher Award

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Prof. Lijun Chen | Engineering | Best Researcher Award

Professor at Northeast Electric Power University, China

Professor Lijun Chen is a seasoned academic and applied researcher at Northeast Electric Power University, bringing over three decades of expertise in automation, thermophysical measurement, and power plant monitoring systems. 🚀 With early technical training at Fuji Electric (Japan) and a strong industrial foundation at Dalian Huaying High-Tech Co., he seamlessly bridges theory with real-world application. His scholarly portfolio boasts 50+ journal publications 📚 (with 20+ indexed by EI and others in SCI), and six national invention patents that reflect his innovation-driven mindset. ⚙️ He has led multiple national and provincial projects, combining academic research with industrial consulting to optimize thermal power systems. A Senior Member of the China Metrology Society, his dedication is evident through a career filled with impactful collaborations, cutting-edge research, and enduring contributions to the energy sector. 🔧 His work continues to empower sustainable and efficient energy technologies across China and beyond. 🌏

Professional Profile 

Scopus

🎓 Education

Professor Lijun Chen’s educational journey is deeply rooted in engineering excellence. 🌱 He enhanced his technical knowledge through automation testing training at Fuji Electric, Japan (1991–1992), where he gained exposure to international standards and modern industrial practices. This early international training laid the groundwork for a future in advanced automation and instrumentation. He continued sharpening his skills with hands-on industry experience before entering academia. 📐 His educational pursuits were not just theoretical but focused on practical solutions for real-world problems in power systems. His academic foundation, supplemented by immersive industrial exposure, uniquely positions him as a knowledge leader in thermophysical measurement and energy systems. 🔋 The fusion of global learning and domestic execution in his educational journey symbolizes his balanced and forward-thinking approach to engineering education and research. 📊

👨‍💼 Professional Experience

Professor Chen’s professional voyage is an exemplar of bridging industry with academia. 🏭 From 1995 to 1997, he worked at Dalian Huaying High-Tech Co., developing automation solutions for complex power systems. Following this, from 1997 to 2001, he continued innovating at the Institute of Electronic Engineering Technology, sharpening his expertise in electronic control. Since 2001, he has been a cornerstone of the School of Automation Engineering at Northeast Electric Power University. 🧑‍🏫 There, he has led or collaborated on numerous high-impact projects, integrating research with engineering applications. His leadership in thermal power plant control systems has shaped provincial-level R&D initiatives and academic–industry partnerships. 🧠 His work with national and horizontal industry projects exemplifies how academic insight can directly solve operational challenges in the energy sector. 🔌

🔬 Research Interest

Lijun Chen’s research is centered on cutting-edge thermal measurement and automation in power engineering. 🌡️ His core interests span thermophysical parameter estimation, combustion optimization, and defect detection in high-frequency electromagnetic equipment. 🔎 These focus areas have significant industrial value, particularly in enhancing the efficiency, safety, and reliability of thermal power plants. His work addresses critical challenges in energy management and environmental control, making his innovations especially relevant in the current era of carbon reduction and sustainable engineering. 🌍 Professor Chen’s ability to combine hardware innovation with control algorithms demonstrates his multi-disciplinary reach across automation, electronics, and thermodynamics. His projects often involve both modeling and experimental validation, ensuring practical applicability. 📊 His collaborations with institutes and enterprises are further proof of his commitment to solving industry-grade problems with scientifically sound solutions. ⚛️

🏅 Award and Honor

Throughout his illustrious career, Professor Chen has been recognized with multiple provincial science and technology awards, a testament to the real-world impact of his work. 🏆 His patents—six granted at the national level—underscore his creative contributions to the field of power system automation and thermal engineering. 📜 His consistent participation in government-funded and industry-sponsored projects not only highlights his technical capability but also his leadership in driving research innovation. He is a Senior Member of the China Metrology Society and plays a notable role in the Jilin Province Electrical Engineering Society, reflecting his influence in professional circles. 🤝 His efforts have significantly elevated the performance of thermal power systems, earning him peer recognition and respect. His honors are not just awards—they are reflections of decades of dedicated research, innovation, and service to the field. 🔧💡

📚 Publications Top Note 

1. Title: The Feasibility Study on Pulverized Coal Mass Concentration Measurement in Primary Air of Plant Using Fin Resonant Cavity Sensor
Authors: Hao Xu, Yiguang Yang, Lijun Chen, Hongbin Yu, Junwei Cao
Year: 2024
Type: Conference Paper
Source: IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Citations: 0 (as of the latest data)
Summary:
This study explores the application of a fin resonant cavity sensor to measure the mass concentration of pulverized coal in the primary air system of power plants. The authors designed and experimentally validated a resonant cavity-based sensor for real-time and high-flow environment monitoring. Results indicate the method’s strong potential for improving combustion efficiency and operational safety in thermal power systems.

2. Title: Research on Finite-Time Consensus of Multi-Agent Systems
Authors: Lijun Chen, Yu Zhang, Yuping Li, Linlin Xia
Year: 2019
Type: Journal Article
Source: Journal of Information Processing Systems (JIPS)
DOI: 10.3745/JIPS.01.0039
Citations: 1 (confirmed from source journal; citation count may vary on other platforms)
Summary:
This paper proposes a novel consensus protocol that enables finite-time convergence in second-order multi-agent systems. By incorporating the gradient of a global cost function into the standard consensus model, the authors enhance coordination speed and robustness among agents. Theoretical analysis using Lyapunov functions, homogeneity theory, and graph theory supports the method’s effectiveness. Simulations demonstrate superior performance in leader–follower scenarios.

✅ Conclusion 

In conclusion, Professor Lijun Chen exemplifies the model of a research-driven innovator and dedicated academic. 📘 With a career spanning research, teaching, consultancy, and invention, he has contributed immensely to the advancement of thermal power automation and measurement systems. His ability to transform theoretical concepts into tangible industrial solutions highlights his value as both a scholar and engineer. 🔬 His multi-patented technologies and SCI-indexed publications reflect a commitment to quality, while his work with industry partners showcases practical relevance. With unwavering focus and passion for thermodynamics, automation, and sustainability, Professor Chen continues to shape the future of smart thermal energy systems in China and beyond. 🌱 His legacy is one of bridging knowledge with innovation, inspiring a new generation of researchers and engineers. 🌟

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.

Jian-Bo Qu | Chemical Engineering | Best Researcher Award

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Prof. Jian-Bo Qu | Chemical Engineering | Best Researcher Award

Dean at China University of Petroleum (East China), China

Prof. Jian-Bo Qu 🎓 is a distinguished researcher and full professor at the China University of Petroleum (East China) 🏫. With a PhD from the Chinese Academy of Sciences (2009) 🧪, his expertise spans bioseparation media, drug delivery systems, and biomaterials 🧫💊. He has published over 50 peer-reviewed papers 📚, authored a book and book chapter 📖, and holds 15 patents 🛠️. As an active member of the Chinese Chemical Society 🧬 and reviewer for top-tier journals 🧾, Prof. Qu continues to contribute cutting-edge innovations in analytical chemistry and biomedical engineering 🧪🧠.

Professional Profile

Scopus

Suitability For Best Researcher Award -Prof. Jian-Bo Qu

Prof. Jian-Bo Qu is an established scholar in the field of chemical and biomedical engineering, with a strong interdisciplinary profile that bridges bioseparation, biomaterials, and drug delivery systems. His career demonstrates a blend of innovation, leadership, and international exposure. With over 50 publications, 15 patents, and leadership in 15+ funded projects (including national-level grants), he clearly meets and exceeds the standard criteria for a high-impact researcher.

Education & Experience

  • 🎓 PhD in Chemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences (2009)

  • 🌍 Visiting Scholar, University of New South Wales, Australia (2015–2016) under Prof. Martina Stenzel

  • 🏫 Full Professor, College of Chemistry and Chemical Engineering, China University of Petroleum (East China)

  • 🧬 Reviewer for journals like Macromolecules, Chemical Engineering Journal, Analytical Chemistry, etc.

  • 🏅 Project Leader of 15+ funded research projects including 3 by the National Natural Science Foundation of China

Professional Development

Prof. Qu’s professional development reflects a trajectory of excellence and continuous growth 📊. His postdoctoral training and international exposure in Australia 🌏 enriched his research perspectives in polymer science and biomedical engineering 🧪. He actively participates in peer review for high-impact journals 🧾 and serves as an expert evaluator for national and provincial science foundations 🏛️. Beyond publishing and patents, Prof. Qu contributes to academic leadership through his society memberships and textbook authorship 📚. His multidisciplinary expertise and active engagement in research communities have made him a vital figure in modern chemical and materials science.

Research Focus Category 

Prof. Jian-Bo Qu’s research focuses on several key categories within chemical and biomedical engineering 🔬. His primary interest lies in bioseparation technology and separation process intensification 🧪, essential for efficient protein purification and enzyme immobilization 🧬. He also works on biomaterials, including drug delivery systems, hemostatic agents, and wound healing hydrogels 💊🩹. His recent studies have explored smart nanomaterials for targeted cancer therapy, contributing to advancements in personalized medicine 🧠🎯. Additionally, Prof. Qu’s work on functional polymers and composite materials plays a pivotal role in bridging materials science with biomedical applications.

Awards & Honors

  • 🏅 Principal Investigator of 15+ research projects, including 3 funded by the National Natural Science Foundation of China

  • 🎖️ Patent Holder of 15 innovative technologies in bioseparation and biomaterials

  • 📚 Book and Chapter Author in scientific publishing

  • 🧪 Peer Reviewer for top journals such as Analytical Chemistry, Chemical Engineering Journal, Macromolecules

  • 🧬 Member, Chinese Chemical Society

  • 🏛️ Evaluator, National and Provincial Natural Science Foundation committees.

Publication Top Notes

Hierarchically Three-Dimensional Bicontinuous Monoliths: Fabrication Strategies, Mechanisms, Functionalization, and Applications

  • Year: 2025

  • Summary: This review article explores the fabrication methods, mechanisms, functionalization strategies, and diverse applications of hierarchically three-dimensional bicontinuous monoliths. These materials are characterized by interconnected porous structures, offering enhanced surface areas and tunable properties suitable for applications in catalysis, separation processes, and biomedical fields.

Two Antihypertensive and Antioxidant Peptides Derived from Alaska Pollack (Theragra chalcograma) Skin: In Silico, In Vitro, and In Vivo Investigation

  • Year: 2025

  • Summary: This study identifies two novel peptides from Alaska pollack skin with dual antihypertensive and antioxidant activities. Through in silico, in vitro, and in vivo analyses, the peptides demonstrated significant angiotensin-converting enzyme (ACE) inhibitory effects and antioxidant properties, suggesting their potential as functional ingredients in nutraceuticals and functional foods.

Biotin@DpaZn Molecules Enabled Efficient Enrichment of N-Phosphopeptides under Neutral Conditions

  • Year: 2025

  • Summary: This article presents the development of Biotin@DpaZn molecules for the efficient enrichment of N-phosphopeptides under neutral conditions. The method enhances the identification of N-phosphorylation sites, facilitating the exploration of protein functions and signaling pathways in various biological systems.

Hydrophilic Interaction Liquid Chromatography-Based Enrichment Method for Deciphering the N-Phosphorylated Proteome Landscape

  • Year: 2025

  • Summary: This research introduces a hydrophilic interaction liquid chromatography (HILIC)-based strategy for enriching N-phosphopeptides under neutral conditions. The method significantly increases the identification of N-phosphorylation sites, providing insights into the N-phosphoproteome landscape across different biological samples, including Escherichia coli and HeLa cells.

Dual-mode and Multiplex Lateral Flow Immunoassay: A Powerful Technique for Simultaneous Screening of Respiratory Viruses

  • Year: 2025

  • Summary: This study develops a dual-mode and multiplex lateral flow immunoassay for the simultaneous detection of multiple respiratory viruses. The assay combines colorimetric and fluorescence signals, offering a rapid, cost-effective, and user-friendly platform for point-of-care diagnostics.

Conclusion

Prof. Jian-Bo Qu exemplifies the qualities of a top-tier researcher: impactful innovation, academic leadership, international collaboration, and dedication to scientific advancement. His extensive contributions to chemical engineering and biomedical applications make him a highly suitable recipient of the Best Researcher Award. His profile not only reflects past achievements but ongoing potential to shape the future of interdisciplinary scientific research.

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

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 🔋🔬.

Prof. Dr. Jian Chen | Engineering | Best Researcher Award

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Prof. Dr. Jian Chen | Engineering | Best Researcher Award

Associate Researcher at Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, China

Dr. Jian Chen 🎓, an accomplished Associate Research Fellow at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences 🏛️, brings over 20 years of rigorous academic and professional experience. With a steadfast foundation in Communication Engineering and a doctorate in Mechanical and Electrical Engineering, Dr. Chen has contributed extensively to the scientific community 📚. His scholarly portfolio includes 39 academic articles, 3 granted patents 🧠🔧, and active participation as an editorial board member and reviewer for 25 prominent journals, including SCI and EI indexed publications 🌐. His consistent commitment to research, innovation, and peer-review excellence marks him as a dedicated scholar in the field of optics and fine mechanics. His career trajectory is a testimony to persistence, insight, and global scientific collaboration 🌟.

Professional Profile 

ORCID Profile

🎓 Education

Dr. Jian Chen’s academic journey 🌱 began at Jilin University, where he pursued both his Bachelor’s (2001–2005) and Master’s (2005–2007) degrees in Communication Engineering 🛰️. Driven by a passion for applied science, he later obtained his Doctorate in Mechanical and Electrical Engineering from the University of Chinese Academy of Sciences (2011–2014) ⚙️. His studies reflect a rare combination of precision communication systems and multi-disciplinary engineering expertise 🧠. This robust academic progression laid the intellectual groundwork for his future research in optics, electromechanics, and fine instrumentation. The strong theoretical foundations combined with practical insight enabled him to tackle cutting-edge challenges in optics and engineering technologies with a holistic mindset 📘🔬.

🧑‍🔬 Professional Experience

Since 2007, Jian Chen has served as an Associate Research Fellow at the prestigious Changchun Institute of Optics, Fine Mechanics and Physics, CAS 🏢. Over 14 years, he has cultivated deep expertise in electromechanical systems, optical instrumentation, and advanced mechanics 💡. His work is not just academic; it holds tangible value, evidenced by his 3 granted patents 🔍📑. Dr. Chen also stands out as a peer-review gatekeeper—serving on the editorial boards of 25 respected journals, including those indexed by SCI and EI 🧾📖. His research environment fosters both independent innovation and collaborative exploration, positioning him as a central contributor to China’s optics and precision mechanics research domain 🔧🌍.

🔬 Research Interest

Jian Chen’s research interests orbit around the convergence of optics, mechanical design, and electrical systems 🔭⚙️. His studies delve into fine optical mechanics, signal processing, and advanced instrumentation, where accuracy meets innovation 💡🔧. He has a keen focus on integrating communication systems with mechanical-electrical interfaces, aiming to improve efficiency, precision, and reliability across applied research platforms 📡🔍. Through over 39 academic publications and patent filings, he continually addresses real-world problems with scientifically grounded solutions. His passion lies in turning theoretical concepts into functional technologies, especially those impacting optics and information transfer systems 🚀. Dr. Chen’s vision includes pushing boundaries in smart optical devices and advancing China’s high-tech research infrastructure 📈.

🏆 Award and Honor

With a track record of consistent scholarly output, Jian Chen has earned high regard in his field 🌟. His appointment as an Editorial Board Member and reviewer for 25 journals, including SCI and EI indexed ones 🏅📘, speaks volumes about his recognition in the global academic community. This role is both prestigious and demanding, requiring sharp insight, peer leadership, and deep subject-matter expertise 🧠✒️. The successful granting of 3 patents in his field further confirms his inventive spirit and commitment to practical innovation. While specific awards are not listed, the honors bestowed upon him through editorial responsibilities, patents, and research publications reflect a career shaped by excellence, discipline, and global relevance 🧬🕊️.

Publications Top Notes

1. Multihop Anchor-Free Network With Tolerance-Adjustable Measure for Infrared Tiny Target Detection

This paper introduces a multihop anchor-free network designed to detect tiny infrared targets in complex backgrounds. The proposed method employs a tolerance-adjustable measure to enhance detection accuracy without relying on predefined anchor points. This approach improves the detection of small targets that are easily obscured by background noise.

2. A Novel Equivalent Combined Control Architecture for Electro-Optical Equipment: Performance and Robustness

This study proposes a novel equivalent composite control structure for electro-optical equipment. The architecture aims to balance tracking performance and robustness by adjusting the time coefficient of the compensation loop. The paper analyzes the impact of this adjustment on system dynamics, providing insights into optimizing performance without compromising stability.

3. CA-U2-Net: Contour Detection and Attention in U2-Net for Infrared Dim and Small Target Detection

This paper presents CA-U2-Net, an enhanced version of U2-Net tailored for detecting infrared dim and small targets. By integrating contour detection and attention mechanisms, the model achieves a detection rate of 97.17%, maintaining accurate target shapes even in challenging conditions.

4. A POCS Super Resolution Restoration Algorithm Based on BM3D

This research combines the Projection Onto Convex Sets (POCS) method with BM3D filtering to enhance super-resolution image restoration. The approach addresses the noise sensitivity of traditional POCS by incorporating BM3D’s denoising capabilities, resulting in improved restoration quality for low-resolution images affected by various noise types.

🧾 Conclusion

Dr. Jian Chen’s career is a synthesis of academic strength, research innovation, and peer leadership 📚🌟. From earning degrees in communication and electromechanical engineering to publishing influential papers and contributing patented solutions, his journey underscores a rare dedication to the advancement of science and technology 🌐. His service as a reviewer and editor across 25 journals illustrates not only his expertise but also the respect he commands among peers. Jian Chen exemplifies what it means to be a scholar-practitioner—someone who not only explores ideas but also brings them to life 🔬💡. With two decades of impact in optics and mechanical systems, his legacy is both intellectual and tangible, influencing future researchers and technologies across the globe 🌏📈.

Tieliang Zeng | Electrical Engineering | Excellence in Researcher Award

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Mr. Tieliang Zeng | Electrical Engineering | Excellence in Researcher Award

Master’s Degree Candidate at The Electrical Engineering College, Guizhou University, China

Tieliang Zeng, a passionate and emerging researcher, is currently pursuing his master’s degree at the Electrical Engineering College, Guizhou University. With a sharp focus on power electronics, his specialization lies in parameter identification of power electronic converters using digital twin technology 🔧🧠. As part of his academic journey, he has contributed to the Guizhou Provincial Key Technology R&D Program ([2024] General 049) and has successfully published one SCI-indexed paper in an MDPI journal 📄. Though early in his career, Tieliang’s commitment to innovation and technical precision is evident through his focused academic work. His field of study is essential to developing smarter, more efficient power systems 🌐⚡. As a budding scholar with a futuristic vision, he aims to expand his research through collaboration, scientific rigor, and practical application. Zeng is certainly a name to watch in the rapidly evolving domain of intelligent electrical systems and digital modeling technologies. 🚀🔬

Professional Profile

ORCID Profile

🎓 Education 

Tieliang Zeng embarked on his higher education journey with an enduring curiosity for electrical systems and smart technologies ⚡📘. He is currently a master’s degree candidate at the Electrical Engineering College of Guizhou University, one of China’s respected institutions in engineering education. His academic path has been defined by a commitment to technical depth and an interest in bridging physical systems with digital simulations through digital twin frameworks 🖥️🔄. With courses covering power electronics, control systems, and system modeling, Tieliang has built a solid theoretical and practical base to support his research. His continuous engagement with both classroom knowledge and real-world problems reflects his drive to excel academically 🎯📚. He is particularly focused on mastering advanced tools and methods for parameter identification in complex converter systems, which forms the foundation of his graduate thesis and current research endeavors. Tieliang’s academic foundation is both robust and forward-thinking. 🧠🧮

💼 Professional Experience 

As a young professional rooted in academia, Tieliang Zeng has initiated his professional journey through research-intensive roles and scholarly projects 🧑‍🔬🔌. His main involvement lies with the Guizhou Provincial Key Technology R&D Program, where he contributes to solving real-world challenges in power electronics through modeling and parameter extraction techniques 📊🔍. Although he has not yet ventured into large-scale consultancy or industrial projects, his participation in a government-funded initiative is a strong testament to his applied research capabilities. Tieliang’s work often involves digital simulations, hardware experimentation, and analytical evaluations – skills that mirror the evolving demands of modern electrical engineering 🌐🔋. Despite being early in his career, his focused technical contributions and publishing experience underscore his potential to make meaningful impacts in both academic and industrial settings in the near future. He’s actively shaping himself as a future innovator in digital twin-based power systems. 🛠️📈

🔬 Research Interests 

Tieliang Zeng’s research compass is firmly directed toward parameter identification in power electronic converters, a core challenge in creating accurate digital twin models 🔄⚡. His exploration dives deep into understanding the dynamic behavior of power systems and how virtual replicas can be developed to monitor, simulate, and control them in real time 🌍🧪. This specialized interest enables improved performance, predictive maintenance, and enhanced design processes in modern electrical infrastructure. His methodology often blends simulation tools, mathematical modeling, and real-world data analysis to ensure accuracy and adaptability 🧠📐. With the energy sector moving rapidly toward smart and autonomous systems, Tieliang’s work is aligned with the global shift toward digitalization and sustainability 🔋🌱. He is eager to refine these models further, enabling high-efficiency and fault-tolerant systems. By focusing his research within this transformative domain, he contributes to the foundational knowledge necessary for tomorrow’s power solutions. 🧬📡

🏆 Awards and Honors 

While Tieliang Zeng has not formally listed any academic awards or honors as of now, his inclusion in a key provincial R&D project and the successful publication of an SCI-indexed paper reflect a merit-based recognition of his talent and research abilities 🧾🏅. Being part of a selective and competitive government-funded research program is in itself an acknowledgment of his capabilities as a skilled researcher 🎯🎓. These achievements at an early stage signal his potential to receive future distinctions as his academic and professional journey unfolds. His scholarly persistence and contribution to innovative topics like digital twins in power systems are laying the groundwork for academic excellence and institutional accolades. With such a trajectory, awards and honors seem to be only a matter of time. His current achievements already reflect a commendable level of discipline, originality, and technical maturity 🌟📘.

Publications Top Notes

  • Title: Digital Twin-Based Multi-Parameter Coordinated Identification Method for Three-Phase Four-Leg Converter

  • Authors: Tieliang Zeng, et al.

  • Journal: Electronics

  • Year: 2025

  • DOI: 10.3390/electronics14102002

  • ISSN: 2079-9292

  • Source: MDPI – Electronics Journal

Conclusion 

In conclusion, Tieliang Zeng stands as a dedicated and promising figure in the field of electrical engineering, particularly in the niche domain of digital twin-based parameter identification for power converters 🔌🧠. As a master’s student with strong research orientation, he is already contributing to meaningful scientific discourse through government-supported projects and peer-reviewed publications 📚💡. Although at the early stages of his career, his focused efforts, analytical mindset, and technical competence set a solid foundation for impactful research and future innovation. Tieliang’s ambitions clearly resonate with the global move toward smart grid solutions and digital infrastructure, positioning him as a valuable asset to both academia and industry 🌍🔬. His journey reflects the beginning of a career with significant potential, where theory and practical application merge to solve complex power challenges. With continued dedication and collaboration, Tieliang Zeng is poised to advance the next wave of digital electrical technologies. 🚀🔧

Chenxia Wang | Civil Engineering | Best Researcher Award

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Prof. Chenxia Wang | Civil Engineering | Best Researcher Award

Professor (Doctoral Supervisor) at Inner Mongolia University of Science and Technology, China

Dr. Chenxia Wang (Ph.D.) is a highly accomplished professor of Civil Engineering at the Inner Mongolia University of Science and Technology 🇨🇳. With a strong academic background and over two decades of teaching and research experience, Dr. Wang specializes in recycled concrete and concrete durability 🧱🔬. She earned her Ph.D. in Civil Engineering from Nanjing University of Aeronautics and Astronautics in 2015 🎓, following earlier degrees from Inner Mongolia University of Science & Technology and Lanzhou University of Technology.

Throughout her academic career, Dr. Wang has steadily progressed through the academic ranks—from Assistant Professor in 2002 to Full Professor in 2024 📈. Her research is widely published in top-tier journals and focuses on the mechanical behavior and durability of recycled concrete under adverse conditions like freeze-thaw cycles and corrosion 🌨️🔩.

She is a member of multiple prestigious committees and editorial boards and serves as an expert advisor in construction safety and waste management initiatives 🏗️♻️. A two-time recipient of the First Prize for Outstanding Papers at the Inner Mongolia Natural Science Conference, she is known for her rigorous and applied research, significantly impacting green construction and sustainable civil engineering 🌍🧪.

Professional Profile:

Orcid

Scopus

🔹 Education & Experience 

🎓 Education

  • 📘 Ph.D. in Civil Engineering – Nanjing University of Aeronautics and Astronautics, 2015

  • 📗 M.Sc. in Civil Engineering – Inner Mongolia University of Science & Technology, 2006

  • 📙 B.Eng. in Civil Engineering – Lanzhou University of Technology, 2001

💼 Academic Experience

  • 👩‍🏫 Professor, Civil Engineering, Inner Mongolia Univ. of Science & Technology (2024–Present)

  • 🧑‍🏫 Associate Professor (2013–2023)

  • 🧑‍🏫 Lecturer (2007–2012)

  • 👨‍🔬 Assistant Professor (2002–2007)

🔹 Professional Development 

Dr. Chenxia Wang has consistently advanced her professional capabilities through active involvement in expert committees, editorial work, and project leadership 📘💼. She is a recognized expert of the Inner Mongolia Autonomous Region’s Construction Industry Association and serves as a member of multiple national technical committees, including those on Rock and Concrete Fracture, Recycled Concrete, and Steel-Concrete Structures 🧱🔗. Her professional development is evident in her role as an executive council member of the Solid Waste Subcommittee of the Chinese Ceramic Society, promoting sustainable construction materials and methods ♻️🏗️.

In addition to technical memberships, she contributes to academic publishing as an editorial board member for the Journal of Applied Mechanics 📚🖋️. Dr. Wang is also a designated expert in construction safety for large projects in Baotou City, and is actively involved in regional standardization and energy conservation efforts 🏢⚡. Her numerous funded research projects from NSFC and regional foundations underscore her leadership in advancing recycled concrete technologies and durability solutions in civil engineering 🧪🔍.

Her commitment to both research and professional service places her at the intersection of science, engineering application, and policy development, making her a key figure in promoting environmentally responsible infrastructure in China 🇨🇳🌍.

🔹 Research Focus Category 

Dr. Chenxia Wang’s research lies in the interdisciplinary field of Sustainable Civil Engineering, with a particular emphasis on Recycled Concrete and Concrete Durability 🏗️♻️. Her work addresses pressing environmental and structural challenges by exploring the mechanical and bonding behavior of recycled aggregate concrete under extreme environmental conditions such as freeze-thaw cycles and chloride-induced corrosion ❄️🔩.

A key focus area is the ontological relationship between recycled concrete and corroded reinforcement, including bond-slip behavior and microstructural evolution 📉🔍. She also investigates self-repairing capabilities of cracked concrete through microbial techniques like MICP (Microbially Induced Calcite Precipitation) 🧬🧫.

Dr. Wang has integrated materials science, structural engineering, and sustainability to offer innovative solutions to reduce construction waste and improve the lifespan of civil infrastructure 🌱🏛️. Her numerous experimental studies and modeling efforts have made significant contributions to the understanding and practical use of recycled materials in construction, advancing the goal of green and durable infrastructure development 🔬🧱.

This research aligns with global sustainability objectives and helps bridge the gap between traditional engineering practices and emerging green technologies 🌍🧪.

🔹 Honors and Awards 

🏆 Honors & Awards

  • 🥇 First Prize – Outstanding Paper, Inner Mongolia Natural Science Annual Conference (2021, 2022)

  • 🥈 Second Prize – 25th National Structure Engineering Conference Excellent Paper (2016)

  • 🌐 CNKI Overseas Impact – Recognized for Excellent Paper in International Focused Publications

Publication Top Notes

1. Effects of salt-freeze erosion on the bonding properties of stirrup-confined recycled concrete and steel bars

  • Journal: Journal of Building Structures

  • Date: 2023-11-05

  • DOI: 10.14006/j.jzjgxb.2023.S2.0044

  • Summary: Investigates how salt-freeze erosion affects bond strength between stirrup-confined recycled concrete and steel bars. Results show that erosion significantly reduces bonding capacity, and stirrup confinement helps mitigate damage.

2. Study on mechanical properties and durability of steel slag concrete under different replacement rates

  • Journal: Journal of Yangtze River Scientific Research Institute

  • Date: 2023-10-17

  • DOI: 10.11988/ckyyb.20221223

  • Summary: Examines mechanical strength and durability of concrete with varying steel slag replacement rates. Moderate replacement enhances strength and resistance, but excessive content negatively impacts performance.

3. Bond behavior between section steel and concrete in partially encased composite structural members

  • Journal: Construction and Building Materials

  • Date: 2023-10-12

  • DOI: 10.1016/j.conbuildmat.2023.132521

  • Summary: Analyzes the interface bonding performance in composite members with partial steel encasement. Findings support improved design strategies for better bond behavior and load transfer efficiency.

4. Effect of silica fume on salt-freeze resistance and microstructure of recycled concrete

  • Journal: Journal of Yangtze River Scientific Research Institute

  • Date: 2023-07-20

  • DOI: 10.11988/ckyyb.20230063

  • Summary: Evaluates the role of silica fume in improving salt-freeze resistance. Silica fume significantly refines the pore structure, reduces permeability, and enhances durability.

5. Experimental study on frost resistance of recycled aggregate concrete based on the concentration of composite salt solution

  • Journal: Journal of Yangtze River Scientific Research Institute

  • Date: 2023-05-30

  • DOI: 10.11988/ckyyb.20221709

  • Summary: Investigates how different salt solution concentrations influence frost resistance. Higher salt concentrations lead to greater damage, highlighting the need for optimized mix design in cold regions.

6. Bond Performance of Corroded Steel Reinforcement and Recycled Coarse Aggregate Concrete after Freeze-Thaw Cycles

  • Journal: Sustainability

  • Date: 2023-04-28

  • DOI: 10.3390/su15076122

  • Summary: Assesses the bond strength degradation of corroded steel embedded in recycled concrete after freeze-thaw cycles. Corrosion accelerates bond loss, but confinement and proper mix design reduce deterioration.

7. Microstructure and damage evolution model of steel slag fine aggregate concrete under freeze-thaw environment

  • Journal: Chinese Journal of Applied Mechanics

  • Date: 2023-04-03

  • DOI: 10.11776/j.issn.1000-4939.2024.03.011

  • Summary: Proposes a microstructure-based damage model for steel slag concrete under freeze-thaw. Simulation results align well with experimental data, aiding future durability predictions.

8. Uniaxial compressive stress-strain test of steel slag coarse aggregate concrete

  • Journal: Journal of Shenyang Jianzhu University

  • Date: 2022-11-15

  • DOI: 10.11717/j.issn:2095-1922.2022.06.17

  • Summary: Studies stress-strain behavior of steel slag aggregate concrete under uniaxial loading. Concrete shows good load-bearing capacity, and the stress-strain relationship provides basis for structural analysis.

9. Experimental study on stress-strain curve of recycled concrete after composite salt freezing

  • Journal: Journal of Building Structures

  • Date: 2022-11-05

  • DOI: 10.14006/j.jzjgxb.2022.S1.0039

  • Summary: Tests stress-strain curves of recycled concrete after exposure to composite salt freeze. Results show strength loss and ductility reduction, underlining the importance of salt-resistance improvements.

10. Stress-slip constitutive relationship of bond between steel bar and recycled concrete in salt-freezing environment

  • Journal: Journal of Building Structures

  • Date: 2022-11-05

  • DOI: 10.14006/j.jzjgxb.2022.S1.0040

  • Summary: Establishes a stress-slip model for steel bar-recycled concrete bond under salt-freeze conditions. Model accurately reflects degradation effects and helps predict performance in coastal and cold climates.

Conclusion:

Dr. chenxia wang exemplifies the qualities of a Best Researcher Award recipient through her sustained, impactful research on recycled concrete durability, a field critical to environmental sustainability in civil engineering. Her combination of scientific innovation, practical applications, professional leadership, and recognized excellence positions her as an outstanding candidate for such an award. Her work not only advances academic knowledge but also contributes significantly to improving sustainable construction practices in China and beyond.

Fubo Cao | Civil Engineering | Best Researcher Award

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Prof. Fubo Cao | Civil Engineering | Best Researcher Award

Professor at Inner Mongolia University of Science and Technology, China

Dr. Fubo Cao 🎓 is a distinguished Professor of Civil Engineering at the Inner Mongolia University of Science & Technology in Baotou, China 🇨🇳. With a strong academic foundation and decades of experience, he has carved a niche in the domain of structural engineering, especially in recycled concrete, PEC (Prefabricated Embedded Components), and structural reliability 🏗️. His career began after earning a B.Eng. from Baotou University of Iron and Steel in 1998, followed by an M.Sc. from IMUST in 2003, and a Ph.D. from Nanjing University of Aeronautics and Astronautics in 2017. He further enriched his expertise with a VS Civil Engineering degree from The University of Alabama in 2020 🌍. Dr. Cao has held multiple academic ranks, from Assistant Professor to full Professor, and also serves as Vice Director of the Institute of Architectural Science 🧱. His commitment to applied research is evident in his numerous funded projects and scholarly publications 📚. A dedicated mentor and active member of various professional committees, Dr. Cao is a driving force in sustainable civil engineering practices ♻️. His work has been recognized with multiple prestigious awards for scientific and technological progress 🏆.

Professional Profile:

Orcid

Scopus

🔹 Education & Experience 

📚 Education:

🧑‍🏫 Academic Appointments:

  • 👨‍🏫 Assistant Professor, IMUST – 2003–2004

  • 👨‍🏫 Lecturer, IMUST – 2004–2009

  • 👨‍🏫 Associate Professor, IMUST – 2010–2017

  • 👨‍🏫 Professor, IMUST – 2018–Present

🧑‍💼 Administrative Appointment:

  • 🏢 Vice Director, Institute of Architectural Science, IMUST – 2016–Present

🔹 Professional Development 

Dr. Fubo Cao has demonstrated consistent professional growth throughout his career in academia and engineering innovation 🧗‍♂️. His leadership as Vice Director of the Institute of Architectural Science at IMUST shows his commitment to shaping civil engineering education and research 🏛️. As an active member of several professional bodies, including the Inner Mongolia Energy Conservation Association and CSCS-ASCCS, Dr. Cao contributes to advancing industry standards and academic excellence 🔍. He also serves as an Executive Council Member for two major committees: the Solid Waste Subcommittee of the Chinese Ceramic Society and the Steel Structure Quality Safety Testing and Appraisal Committee under the China Steel Structure Association 🏗️. His professional journey is marked by interdisciplinary collaborations and funded projects that address real-world engineering challenges—particularly in enhancing the performance of recycled concrete and corrosion-affected structures ♻️🔧. His research achievements have been consistently shared through high-impact journal publications and national competitions 📰. Dr. Cao’s mentoring of student teams in structural design contests has earned accolades, promoting hands-on learning and innovative thinking 🎓👷. Through these diverse roles and efforts, he remains a pillar of civil engineering advancement both in China and internationally 🌍.

🔹 Research Focus Category 

Dr. Fubo Cao’s research falls under the category of Sustainable Structural Engineering 🏗️♻️. His primary focus is on recycled concrete, exploring its mechanical properties, durability, and bond-slip behavior with steel reinforcement—especially under freeze-thaw cycles and corrosion conditions ❄️🔩. These studies are crucial in the development of eco-friendly construction materials that can withstand harsh environments. He also delves into PEC (Prefabricated Embedded Components) and their seismic performance, enhancing the resilience and efficiency of modular construction methods 🌍🧱. Another significant strand of his work involves structural reliability analysis, ensuring long-term safety and performance of civil structures 📈🏠. With a number of projects funded by national and regional science foundations, Dr. Cao combines experimental testing with theoretical modeling to create practical solutions for modern engineering challenges 🔬🛠️. His contributions support China’s sustainable development goals by promoting the reuse of construction waste and improving infrastructure resilience. His research not only advances academic knowledge but also has tangible impacts on engineering practice and environmental conservation 🌱🔧.

🔹 Awards and Honors 

🏆 Awards and Honors:

  • 🥇 First Prize, Excellent Paper – 16th Annual Conference of Natural Sciences, Inner Mongolia, 2021

  • 🥈 Second Prize, Excellent Paper – 16th Annual Conference of Natural Sciences, Inner Mongolia, 2021

  • 🥇 First Prize – Baotou Science and Technology Progress Award, 2014

  • 🏅 Excellent Mentor – Inner Mongolia Student Structure Design Competition, 2012–2017

  • 🥇 First Prize – National College Student Structure Design Competition, 2009, 2012

  • 🥈 Second Prize – Inner Mongolia Science and Technology Progress Award, 2009

Publication Top Notes

1. Shrinkage and Mechanism Analysis of Fully Recycled Mortar

  • Journal: Architectural Structures

  • Date: 2024-11-05

  • DOI: 10.19701/j.jzjg.20220904

  • Citation: Fubo Cao (2024). Shrinkage and Mechanism Analysis of Fully Recycled Mortar. Architectural Structures.

  • Explanation: This paper investigates the shrinkage behavior of mortars made entirely from recycled materials, analyzing the internal mechanisms that cause shrinkage to help improve the durability and stability of sustainable construction materials.

2. Effect of Salt Freeze Erosion on Bond Performance Between Stirrup-Confined Recycled Concrete and Steel Reinforcement

  • Journal: Journal of Building Structures 

  • Date: 2023-11-05

  • DOI: 10.14006/j.jzjgxb.2023.S2.0044

  • Explanation: This study explores how salt-induced freeze–thaw cycles affect the bonding between steel bars and recycled concrete, particularly in elements with stirrup confinement—critical for structural safety in cold, saline environments.

3. Study on Mechanical Properties and Durability of Steel Slag Concrete under Different Substitution Rates

  • Journal: Journal of Yangtze River Scientific Research Institute

  • Date: 2023-10-17

  • DOI: 10.11988/ckyyb.20221223

  • Explanation: This paper evaluates how replacing natural aggregates with steel slag at various percentages influences the mechanical strength and long-term durability of concrete.

4. Bond Behavior Between Section Steel and Concrete in Partially Encased Composite Structural Members

  • Journal: Construction and Building Materials

  • Date: 2023-10-12

  • DOI: 10.1016/j.conbuildmat.2023.132521

  • Explanation: The study analyzes how well steel sections bond with surrounding concrete in composite structures, which is essential for ensuring load-bearing integrity in mixed-material buildings.

5. Effect of Silica Fume on Salt Freeze Resistance and Microstructure of Recycled Concrete

  • Journal: Journal of Yangtze River Scientific Research Institute

  • Date: 2023-07-20

  • DOI: 10.11988/ckyyb.20230063

  • Explanation: Silica fume is examined as an additive to enhance the freeze–thaw resistance and modify the microstructure of recycled concrete, thus improving its environmental durability.

6. Experimental Study on Frost Resistance of Recycled Aggregate Concrete Based on Composite Salt Solution Concentration

  • Journal: Journal of Yangtze River Scientific Research Institute

  • Date: 2023-05-30

  • DOI: 10.11988/ckyyb.20221709

  • Explanation: Investigates how recycled aggregate concrete performs under freeze–thaw cycles when exposed to different concentrations of salt solutions, mimicking real-world environmental conditions.

7. Bond Performance of Corroded Steel Reinforcement and Recycled Coarse Aggregate Concrete after Freeze-Thaw Cycles

  • Journal: Sustainability

  • Date: 2023-04-28

  • DOI: 10.3390/su15076122

  • Explanation: This study explores how corrosion and freeze–thaw damage affect the bonding performance between steel bars and recycled aggregate concrete, contributing to structural lifespan prediction.

8. Microstructure and Damage Evolution Model of Steel Slag Fine Aggregate Concrete Under Freeze-Thaw Environment

  • Journal: Acta Mechanica Sinica

  • Date: 2023-04-03

  • DOI: 10.11776/j.issn.1000-4939.2024.03.011

  • Explanation: Focuses on how microstructural damage evolves in concrete containing steel slag fine aggregates under freeze–thaw conditions, offering insights into modeling deterioration.

9. Uniaxial Compressive Stress-Strain Test of Steel Slag Coarse Aggregate Concrete

  • Journal: Journal of Shenyang Jianzhu University (Natural Science Edition)

  • Date: 2022-11-15

  • DOI: 10.11717/j.issn:2095-1922.2022.06.17

  • Explanation: Presents stress–strain data under uniaxial compression for concrete incorporating steel slag coarse aggregates, essential for structural modeling.

10. Full Stress-Strain Curve Test of Recycled Concrete after Composite Salt Freezing

  • Journal: Journal of Building Structures

  • Date: 2022-11-05

  • DOI: 10.14006/j.jzjgxb.2022.S1.0039

  • Explanation: Reports on the full stress–strain behavior of recycled concrete subjected to composite salt and freeze–thaw, aiding in constitutive model development.

11. Bond Stress–Slip Constitutive Relationship Between Steel Bar and Recycled Concrete in Salt-Freezing Environment

  • Journal: Journal of Building Structures

  • Date: 2022-11-05

  • DOI: 10.14006/j.jzjgxb.2022.S1.0040

  • Explanation: Models the bond-slip interaction between reinforcement and recycled concrete under salt freezing, essential for seismic and structural safety.

12. Study on Bond Performance Between Corroded Reinforcement and Recycled Concrete After Freeze–Thaw

  • Journal: Journal of Building Structures

  • Date: 2022-11-05

  • DOI: 10.14006/j.jzjgxb.2022.S1.0041

  • Explanation: Focuses on how corrosion and environmental damage jointly influence reinforcement-concrete bond strength in recycled materials.

13. Bond-Slip Behavior of PEC Columns with Expansive Agent

  • Journal: Journal of Building Materials

  • Date: 2022-07-27

  • DOI: 10.3969/j.issn.1007-9629.2022.11.010

  • Explanation: Studies the bond–slip properties of concrete columns with expansive agents to improve joint integrity in precast or repaired structures.

14. Mechanical Properties and Damage Model of Recycled Concrete After Freeze–Thaw Cycles

  • Journal: Industrial Construction

  • Date: 2021-06-30

  • DOI: 10.13204/j.gyjzG20091704

  • Explanation: Provides a damage model for recycled concrete degraded by freeze–thaw cycling, aiding in structural analysis and design.

15. Effect of Rice Husk Ash and Metakaolin on Properties of Recycled Concrete

  • Journal: Industrial Construction

  • Date: 2021-03-22

  • DOI: 10.13204/j.gyjzg20031602

  • Explanation: Investigates how using pozzolanic materials like rice husk ash and metakaolin can improve the mechanical and durability properties of recycled concrete.

Conclusion

Dr. Fubo Cao is a leading researcher in structural engineering with a specialized focus on sustainable and resilient construction materials, particularly recycled concrete. His scientific output, project leadership, and awards strongly support his candidacy for a Best Researcher Award. He embodies the qualities of innovation, impact, and sustained contribution to engineering science.

V.G. Saranya | Engineering | Best Researcher Award

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Mrs. V.G. Saranya | Engineering | Best Researcher Award

Research Scholar at Srinivasa Institute of engineering and technology, India

V.G. Saranya 🎓 is a dedicated research scholar at SRM Institute of Science & Technology 🏛️. She earned her B.E. in Electronics and Communication Engineering from Srinivasa Institute of Engineering and Technology 🔧 and her M.E. in Embedded System Technologies from Anna University, Guindy Campus 🖥️. Currently pursuing her Ph.D. 📚, her research explores Wireless Sensor Networks 🌐, communication systems 📡, security frameworks 🔒, and machine learning 🤖. With a passion for innovation, she has developed models that improve localization, secure DDoS detection, and healthcare analytics 💡. She actively contributes to smart and sustainable tech solutions 🌱.

Professional Profile:

Scopus

🔹 Education & Experience

  • 🎓 B.E. in Electronics and Communication Engineering – Srinivasa Institute of Engineering and Technology, Anna University

  • 🎓 M.E. in Embedded System Technologies – College of Engineering, Guindy, Anna University (2016)

  • 🧪 Ph.D. in Progress – SRM Institute of Science & Technology

  • 👩‍💻 Research Experience – Wireless Sensor Networks, Communication Systems, Network Security & Machine Learning

  • 🧠 Technical Expertise – Hybrid models, IoT-RFID integration, DDoS prevention systems, clustering algorithms

🔹 Professional Development

V.G. Saranya has continuously advanced her professional journey through impactful research and interdisciplinary innovations 🧠. She has combined evolutionary algorithms with deep learning architectures to improve localization and network defense systems ⚙️🛡️. Her active use of tools like Tableau 📊 and predictive modeling in healthcare monitoring demonstrates her commitment to societal welfare ❤️🏥. Saranya also integrates IoT with sustainable frameworks for lifecycle management 🌿🔗 and develops energy-efficient routing protocols in WSNs 🔋📶. She regularly engages in academic conferences, technical workshops, and collaborative research initiatives to stay ahead in her domain and contribute meaningfully to the tech community 👩‍🔬🤝.

🔹 Research Focus Category 

V.G. Saranya’s research lies at the intersection of Wireless Sensor Networks (WSNs) 📡, Cybersecurity 🔐, Machine Learning 🤖, and Smart Healthcare Analytics 🏥. Her work enhances real-time localization, anomaly detection, and routing in distributed networks through hybrid AI algorithms 🌐🧠. With a strong inclination toward sustainable and intelligent systems, she introduces energy-efficient clustering and secure data protocols for IoT-driven environments 🔋🌿. Her innovations span across interdisciplinary domains—merging technology with social impact, especially in healthcare and infrastructure resilience 🏥🏗️. Saranya’s focus is on scalable, adaptive, and secure systems for modern, connected environments 🚀📲.

🔹 Awards & Honors 

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  • 🏅 Received Best Paper Award at a National Conference on Emerging Technologies

  • 🥇 Recognized for Outstanding Research Contribution in IoT and WSNs by SRMIST

  • 🎖️ Participated in Innovation Challenge Hackathon with distinction

  • 🏆 Awarded Research Grant for interdisciplinary project on Healthcare

Publication Top Notes

  • Title: TDOA-based WSN localization with hybrid covariance matrix adaptive evolutionary strategy and gradient descent distance techniques

  • Authors: V.G. Saranya, K. Sekhar, Karthik

  • Journal: Alexandria Engineering Journal (AEJ)

  • Year: 2025

  • DOI: 10.1016/j.aej.2024.12.091

Conclusion

V.G. Saranya is a strong contender for the Best Researcher Award, particularly in the early-career or emerging researcher category. Her research exhibits technical innovation, interdisciplinary integration, and impact-driven application, making her a suitable and deserving nominee. Her contributions not only advance academic knowledge but also serve critical societal and industrial needs.

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.