Jian-Bo Qu | Chemical Engineering | Best Researcher Award

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

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

Prof. Jian-Bo Qu πŸŽ“ 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) πŸ§ͺ, his expertise spans bioseparation media, drug delivery systems, and biomaterials πŸ§«πŸ’Š. He has published over 50 peer-reviewed papers πŸ“š, authored a book and book chapter πŸ“–, and holds 15 patents πŸ› οΈ. 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 πŸ§ͺ🧠.

Professional Profile

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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

  • πŸŽ“ 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.

  • πŸ… 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 πŸ“Š. His postdoctoral training and international exposure in Australia 🌏 enriched his research perspectives in polymer science and biomedical engineering πŸ§ͺ. He actively participates in peer review for high-impact journals 🧾 and serves as an expert evaluator for national and provincial science foundations πŸ›οΈ. Beyond publishing and patents, Prof. Qu contributes to academic leadership through his society memberships and textbook authorship πŸ“š. His multidisciplinary expertise and active engagement in research communities have made him a vital figure in modern chemical and materials science.

Research Focus CategoryΒ 

Prof. Jian-Bo Qu’s research focuses on several key categories within chemical and biomedical engineering πŸ”¬. His primary interest lies in bioseparation technology and separation process intensification πŸ§ͺ, essential for efficient protein purification and enzyme immobilization 🧬. He also works on biomaterials, including drug delivery systems, hemostatic agents, and wound healing hydrogels πŸ’ŠπŸ©Ή. 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

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

  • πŸŽ–οΈ Patent Holder of 15 innovative technologies in bioseparation and biomaterials

  • πŸ“š Book and Chapter Author in scientific publishing

  • πŸ§ͺ Peer Reviewer for top journals such as Analytical Chemistry, Chemical Engineering Journal, Macromolecules

  • 🧬 Member, Chinese Chemical Society

  • πŸ›οΈ 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

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

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

Dr. K. Lakshmi Prasanna πŸŽ“ 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 πŸ› οΈ. 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 πŸ”, 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 πŸ’‘. Her professional trajectory reflects a consistent commitment to academic excellence, technical rigor, and transformative innovation in electrical engineering. πŸš€

Professional Profile

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πŸ“š 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 πŸ“ˆ. 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 πŸ“˜βš™οΈ.

πŸ‘©β€πŸ« Professional ExperienceΒ 

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 πŸ”Œ. 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 πŸ”¬. Beyond teaching, her experience also includes proposal writing, technical documentation using LaTeX, and collaborative interdisciplinary projects, marking her as a well-rounded professional πŸŒπŸ“.

πŸ” Research InterestsΒ 

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 βš™οΈπŸ”. 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 πŸ§ πŸ“Š. 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 🌐⚑.

πŸ… Awards and Honors

Dr. Lakshmi Prasanna’s academic journey is marked by consistently high achievements and academic recognition πŸ†. 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 πŸŽ“. 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 πŸ₯‡. She continues to be acknowledged for her dedication, depth of knowledge, and clarity in delivering technical content.

Publications Top NotesΒ 

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.

βœ… ConclusionΒ 

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 βš‘πŸ’». Her collaborative spirit, adaptability to emerging tools, and constant pursuit of knowledge ensure her continued relevance and impact in the scientific community πŸ“šπŸš€. 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 πŸ”‹πŸ”¬.