Anji Reddy Polu | Experimental Methods | Editorial Board Member

Published on by High Energy Physics

Assist . Prof . Dr . Anji Reddy Polu | Experimental Methods | Editorial Board Member

Assistant Professor, BVRIT HYDERABAD College of Engineering for Women , India

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🧑‍🎓 Early Academic Pursuits

Dr. Anji Reddy Polu embarked on his academic journey with outstanding performance in the sciences. e earned his B.Sc. with a remarkable 87.7%, securing 1st rank at Hindu College, under Acharya Nagarjuna University. Continuing his excellence, he pursued M.Sc. in Physics from Dr. H S Gour Central University, where he stood 3rd in the university, securing 75.3%. His passion for materials science led him to complete his Ph.D. in Physics (2008–2013) from the same university, under the guidance of Prof. Ranveer Kumar, with a dissertation on “Synthesis and Characterization of Some Polymer Electrolytes for Electrochemical Device Applications”.

🧪 Research Experience and Expertise

Dr. Reddy’s research journey took a significant leap with his Post-Doctoral Fellowship at Sogang University, South Korea (2014–2016), focusing on polymer electrolytes for Li-ion batteries under Prof. Hee-Woo Rhee. Prior to this, he served as a Post-Doctoral Fellow at VIT University, India, working on solid polymer electrolytes for Mg-ion and Zn-ion batteries. His expertise spans organic-inorganic hybrid (POSS) nanocomposites, metal-ion batteries (Li, Na, Mg, Zn, K), and nanoionic liquids, emphasizing energy storage and conversion devices.

👨‍🏫 Teaching Experience

With a rich teaching background, Dr. Reddy has served in various esteemed institutions:

  • BVRIT Hyderabad (2021–Present) – Associate Professor

  • Malla Reddy Engineering College (2019–2021) – Assistant Professor

  • Vardhaman College of Engineering (2016–2018) – Assistant Professor

  • K L University (2012–2013) – Assistant Professor

  • St. Ignatius Degree & PG College (2006–2008) – Lecturer

He is deeply committed to student development and has been a key contributor to curriculum enrichment and academic mentoring.

🔬 Contributions and Research Focus

Dr. Reddy’s research focus centers around solid-state battery technologies, especially:

  • Solid Polymer Electrolytes (SPEs)

  • Hybrid Nanocomposites

  • Electrochemical device applications

He has been instrumental in developing novel materials for Li-ion, Na-ion, Zn-ion, and Mg-ion batteries, with a keen interest in green energy solutions and nanotechnology applications. His work is known for its practical applications and industrial relevance.

🧠 Technical & Research Skills

He possesses advanced skills in:

  • Electrochemical Impedance Spectroscopy (EIS)

  • Cyclic Voltammetry (CV)

  • XRD, DSC, TGA, FTIR, SEM, TEM, AFM, POM

  • Battery analysis using WBCS3000 series

  • Glove box handling, planetary ball milling, and spin coating

These competencies enable him to perform cutting-edge experimental research in material science and battery technology.

📊 Patents and Innovations

Dr. Reddy is a prolific inventor with 9 patents to his name, filed in India and South Korea, covering solid-state electrolytes, nanocomposites, and energy storage innovations, such as:

  • Solid Polymer Electrolyte for Solid-State Zinc-ion Battery

  • Robotic Trash Disposal System

  • Hybrid Nanocomposite Solid Polymer Electrolyte

His patents are a testament to his innovative approach and practical impact in clean energy technologies.

🏅 Awards and Honors

Dr. Reddy has received numerous accolades, including:

  • Featured in Stanford University’s World’s Top 2% Scientists List (2022–2024)

  • Best Researcher Award – 2021

  • Albert Nelson Marquis Lifetime Achievement Award (2017–2019)

  • Best Speaker and Best Poster Awards

  • Outstanding Reviewer (Elsevier, 2015)

  • DAAD, CSIR, INSA travel grants

  • UGC-RFSMS Fellow, D.S. Kothari Fellowship awardee
    These honors reflect his international reputation and dedication to research excellence.

📈 Academic Citations and Influence

With high-impact publications and a steady stream of citations, Dr. Reddy is recognized globally in the field of solid polymer electrolytes and battery technology. His interdisciplinary research has contributed to advancements in energy storage systems that are vital for sustainable technologies.

🌟 Legacy and Future Contributions

As a scholar, teacher, and innovator, Dr. Anji Reddy Polu continues to shape the future of energy storage research. His commitment to academic excellence, mentorship, and technological innovation promises a lasting legacy in the materials science and electrochemical energy domains. Moving forward, he aims to expand his research into next-generation batteries, explore biopolymer-based systems, and foster global collaborations to tackle energy challenges.

Top Noted Publications

Enhancing ionic conductivity, mechanical stability and electrochemical properties simultaneously by integrating POSS-PEG13.3 hybrid nanoparticles into PEO-NaClO4 solid polymer electrolytes

  • Authors: Anji Reddy Polu, Pramod K. Singh, Aseel A. Kareem, Shufeng Song, Serguei V. Savilov, M.Z.A. Yahya, Markus Diantoro, Firdaus Mohamad Hamzah, S.N.F. Yusuf, Faisal Islam Chowdhury
    Journal: Chemical Physics Impact
    Year: 2025

Impact of tetracyanoethylene plasticizer on PEO based solid polymer electrolytes for improved ionic conductivity and solid-state lithium-ion battery performance

  • Authors: Anji Reddy Polu, Kwangmin Kim, Aseel A. Kareem, Dongkyu Kim, Shufeng Song, Serguei V. Savilov, Pramod K. Singh
    Journal: Journal of Power Sources
    Year: 2025

Performance enhancement of PEO: LiDFOB based nanocomposite solid polymer electrolytes via incorporation of POSS-PEG13.3 hybrid nanoparticles for solid-state Li-ion batteries

  • Authors: Anji Reddy Polu, Shufeng Song, Aseel A. Kareem, Serguei V. Savilov, Pramod K. Singh, Mekala Venkanna, Chava Sunil Kumar
    Journal: Journal of Physics and Chemistry of Solids
    Year: 2025

Enhancing the Properties of PEG-Based Solid Polymer Electrolytes with TiO2 Nanoparticles for Potassium Ion Batteries

  • Authors: Anji Reddy Polu, Faisal Islam Chowdhury, Pramod K. Singh, Markus Diantoro, Firdaus Mohamad Hamzah
    Journal: Chemical Physics Impact
    Year: 2025

Fast-charging heterogeneous ether-ester lithium metal batteries enabled by 12 μm-thick trilayer separator

  • Authors: Fengkun Wei, Shengxian Wang, Serguei V. Savilov, Anji Reddy Polu, Pramod K. Singh, Ning Hu, Shufeng Song
    Journal: Journal of Membrane Science
    Year: 2025

Jie Tian | Experimental methods | Best Researcher Award

Published on by High Energy Physics

Prof. Jie Tian | Experimental methods | Best Researcher Award

Dr. Jie Tian is a distinguished Professor at the Institute of Acoustics, Chinese Academy of Science, Beijing, China. He holds a Ph.D. in Automatic Control from Beijing Institute of Technology (2002) and a Bachelor’s degree in Automatic Control from Northwestern Polytechnic University (1995). His primary research focus lies in the fields of underwater information and signal processing and classification & image processing.

👨‍🎓Profile

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🎓 Early Academic Pursuits

Dr. Tian’s academic journey began at Northwestern Polytechnic University, where he earned his Bachelor’s degree in Automatic Control in 1995. Building on this foundation, he pursued his Ph.D. at Beijing Institute of Technology, specializing in Automatic Control. His studies laid the groundwork for his deep engagement with signal processing and image processing algorithms, disciplines that continue to define his career today.

💼 Professional Endeavors

Dr. Tian’s professional career spans over two decades, marked by significant contributions to both academia and research. He is currently a Professor at the Institute of Acoustics, Chinese Academy of Science, where he has worked since 2002. His career trajectory includes a Postdoctoral fellowship and Associate Professorship at the same institution, where he developed theoretical algorithms for image processing and worked extensively on information processing systems. His transition from postdoc to professor reflects his growing influence in his field, particularly in the domain of underwater acoustic communication networks and image classification.

🔬 Contributions and Research Focus

Dr. Tian’s research contributions are far-reaching and impactful. His expertise includes underwater information processing, with a particular focus on underwater object classification, and sonar image processing. Notable areas of his work include:

  • Cross-layer routing protocols for underwater acoustic communication networks.
  • Deformable residual networks and transfer learning for underwater object classification in SAS images.
  • Deep neural networks for classification in high-resolution sonar images.

His focus on advanced algorithms such as deep neural networks and SVM-based techniques has helped push forward the frontiers of image classification and signal processing in challenging underwater environments.

🧑‍🏫 Teaching Experience

Dr. Tian is not only a researcher but also a dedicated educator. As a Professor, he has mentored countless students and guided the next generation of researchers in the Institute of Acoustics. His expertise in image processing and signal processing provides students with valuable insights into cutting-edge technologies, preparing them for careers in academic research and industry applications.

🔮 Legacy and Future Contributions

Dr. Tian’s work has already left a lasting impact on underwater imaging and signal processing. Looking ahead, his future contributions are likely to expand into AI-driven underwater communication systems and real-time processing algorithms, further advancing the practical applications of his research. His continued focus on image processing algorithms and deep learning will undoubtedly lead to more innovative breakthroughs that enhance the capabilities of underwater technologies, benefiting both scientific exploration and practical communication systems.

Publications Top Notes

  • Cross-Layer Routing Protocol Based on Channel Quality for Underwater Acoustic Communication Networks
    Authors: He, J., Tian, J., Pu, Z., Wang, W., Huang, H.
    Journal: Applied Sciences (Switzerland)
    Year: 2024
  • Underwater Object Classification in SAS Images Based on a Deformable Residual Network and Transfer Learning
    Authors: Gong, W., Tian, J., Liu, J., Li, B.
    Journal: Applied Sciences (Switzerland)
    Year: 2023
  • Underwater Object Classification Method Based on Depthwise Separable Convolution Feature Fusion in Sonar Images
    Authors: Gong, W., Tian, J., Liu, J.
    Journal: Applied Sciences (Switzerland)
    Year: 2022
  • Underwater objects classification method in high-resolution sonar images using deep neural network
    Authors: Zhu, K., Tian, J., Huang, H.
    Journal: Shengxue Xuebao/Acta Acustica
    Year: 2019
  • Small Underwater Objects Classification in Multi-View Sonar Images Using the Deep Neural Network
    Authors: Zhu, K., Tian, J., Huang, H.
    Journal: Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
    Year: 2020