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Dr. Kamala Kumari Duru

Assistant Professor(Sr.Gd), Department of Electronics and Communication Engineering, School of Engineering, Amaravati

Qualification: Ph.D, M.Tech., B.Tech.
k_kamala@av.amrita.edu
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Bio

Dr. Kamala Kumari Duru is an Assistant Professor in the Department of Electronics and Communication Engineering at Amrita Vishwa Vidyapeetham, Amaravati Campus, with 9 years of teaching experience and 20 research publications. She received her Ph.D. in Electronics and Communication Engineering from SRM University-AP in 2023. Her doctoral research, titled “Development of an Optimal Safe Charging Approach for Lithium-Ion Cells in E-Mobility Applications,” focused on developing optimal and safe charging strategies for lithium-ion batteries in electric mobility applications.

Her research interests include lithium-ion battery modelling and characterization, optimal and safe charging methods for lithium-ion batteries, and Machine Learning and Deep Learning for battery applications. Her work focuses on battery parameter estimation, Equivalent Circuit Models, SOC/SOH estimation, battery degradation prediction, thermal analysis, and intelligent fast-charging strategies for electric vehicle applications.

Publications

Conference Proceedings

Year : 2026

Integrating LSTM-RNN and Transfer Learning to Enhance ECM Parameter Estimation for Lithium-Ion Batteries

Cite this Research Publication : Siva Kumari Orsu, HimaBindu Garikapati, Kamala Kumari Duru, Sujith Kalluri, Integrating LSTM-RNN and Transfer Learning to Enhance ECM Parameter Estimation for Lithium-Ion Batteries, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), IEEE, 2026, https://doi.org/10.1109/i3ctcon68242.2026.11507900

Publisher : IEEE

Year : 2026

Online Machine Learning Framework for Early-State SoH Prediction in Lithium Iron Phosphate Batteries

Cite this Research Publication : HimaBindu Garikapati, Siva Kumari Orsu, Kamala Kumari Duru, Sujith Kalluri, Online Machine Learning Framework for Early-State SoH Prediction in Lithium Iron Phosphate Batteries, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), IEEE, 2026, https://doi.org/10.1109/i3ctcon68242.2026.11507975

Publisher : IEEE

Year : 2025

Estimation of Parameters in a Lithium-Ion Battery 2RC Model Through a Hybrid Optimization Approach

Cite this Research Publication : Kamala Kumari Duru, Amrutha Tadisetty, Preethi Rasagna Chanamala, Lavanya Neela, Sujith Kalluri, Estimation of Parameters in a Lithium-Ion Battery 2RC Model Through a Hybrid Optimization Approach, 2025 International Conference on Information, Implementation, and Innovation in Technology (I2ITCON), IEEE, 2025, https://doi.org/10.1109/i2itcon65200.2025.11210545

Publisher : IEEE

Year : 2025

Monitoring Parkinson’s Disease in the IoT-Cloud Framework Using Voice Data with a Random Forest Classifier

Cite this Research Publication : Kamala Duru, Venkata Jahnavi Kosuri, Harika Gadiparthi, Sai Yogita CH, Vineela Chandra Dodda, Lakshmi Kuruguntla, Monitoring Parkinson’s Disease in the IoT-Cloud Framework Using Voice Data with a Random Forest Classifier, 2025 5th International Conference on Artificial Intelligence and Signal Processing (AISP), IEEE, 2025, https://doi.org/10.1109/aisp68263.2025.11396267

Publisher : IEEE

Journal Article

Year : 2025

Co-modification of NCM-622 via Mg 2+ in situ doping and LiBO 2 /B 2 O 3 surface coating: a pathway to design high-voltage cathodes for lithium-ion batteries

Cite this Research Publication : Praneash Venkatachalam, Kamala Kumari Duru, Sambasivam Sangaraju, Asha Anish Madhavan, Pilgun Oh, Pardha Saradhi Maram, Sujith Kalluri, Co-modification of NCM-622 via Mg 2+ in situ doping and LiBO 2 /B 2 O 3 surface coating: a pathway to design high-voltage cathodes for lithium-ion batteries, Sustainable Energy & Fuels, Royal Society of Chemistry (RSC), 2025, https://doi.org/10.1039/d4se01297f

Publisher : Royal Society of Chemistry (RSC)

Year : 2025

High performance crack-free single crystalline NCM-622 via Mg-doping as a high voltage cathode for lithium-ion batteries

Cite this Research Publication : Praneash Venkatachalam, Giridharan Balakrishnan, Ranjith Krishna Pai, Yogesh Dadaso Dange, Kamala Kumari Duru, Sambasivam Sangaraju, Pardha Saradhi Maram, Sujith Kalluri, High performance crack-free single crystalline NCM-622 via Mg-doping as a high voltage cathode for lithium-ion batteries, Journal of Power Sources, Elsevier BV, 2025, https://doi.org/10.1016/j.jpowsour.2025.238155

Publisher : Elsevier BV

Year : 2025

Optimal Charging of Lithium‐Ion Batteries: An Electro‐Thermal Model Approach Using Maximum Possible Optimization

Cite this Research Publication : Kamala Kumari Duru, Praneash Venkatachalam, Syed Ali Hussain, Asha Anish Madhavan, Sangaraju Sambasivam, Sujith Kalluri, Optimal Charging of Lithium‐Ion Batteries: An Electro‐Thermal Model Approach Using Maximum Possible Optimization, Advanced Theory and Simulations, Wiley, 2025, https://doi.org/10.1002/adts.202500320

Publisher : Wiley

Year : 2024

Lithium-ion battery parameter estimation based on variational and logistic map cuckoo search algorithm

Cite this Research Publication : Tasadeek Hassan Dar, Satyavir Singh, Kamala Kumari Duru, Lithium-ion battery parameter estimation based on variational and logistic map cuckoo search algorithm, Electrical Engineering, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s00202-024-02580-9

Publisher : Springer Science and Business Media LLC

Year : 2024

LiNbO3 coating on Mg-doped NCM-622 cathode—a dual modification to enhance the electrochemical performance at higher voltage for lithium-ion batteries

Cite this Research Publication : Praneash Venkatachalam, Kamala Kumari Duru, Murali Rangarajan, Sambasivam Sangaraju, Pardha Saradhi Maram, Sujith Kalluri, LiNbO3 coating on Mg-doped NCM-622 cathode—a dual modification to enhance the electrochemical performance at higher voltage for lithium-ion batteries, Journal of Solid State Electrochemistry, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s10008-024-05863-0

Publisher : Springer Science and Business Media LLC

Year : 2023

Delineating the importance of simultaneous Zr4+ doping and ZrO2 coating on NCM-622: A pathway to facilitate high-performance cathodes for lithium-ion batteries

Cite this Research Publication : Praneash Venkatachalam, Kamala Kumari Duru, Murali Rangarajan, Sambasivam Sangaraju, Pardha Saradhi Maram, Sujith Kalluri, Delineating the importance of simultaneous Zr4+ doping and ZrO2 coating on NCM-622: A pathway to facilitate high-performance cathodes for lithium-ion batteries, Journal of Materials Science, Springer Science and Business Media LLC, 2023, https://doi.org/10.1007/s10853-023-09216-6

Publisher : Springer Science and Business Media LLC

Year : 2023

Critical Perspective on the Industry‐centred Engineering of Single‐Crystalline Ni‐rich Cathodes

Cite this Research Publication : Praneash Venkatachalam, Chanakya Karra, Kamala Kumari Duru, Pardha Saradhi Maram, Sangaraju Sambasivam, Hua Kun Liu, Sujith Kalluri, Critical Perspective on the Industry‐centred Engineering of Single‐Crystalline Ni‐rich Cathodes, ChemNanoMat, Wiley, 2023, https://doi.org/10.1002/cnma.202200548

Publisher : Wiley

Year : 2022

Perspective—Challenges and Benchmarking in Scale-Up of Ni-Rich Cathodes for Sodium-Ion Batteries

Cite this Research Publication : Praneash Venkatachalam, Chanakya Karra, Kamala Kumari Duru, Pardha Saradhi Maram, Asha Anish Madhavan, Sujith Kalluri, Perspective—Challenges and Benchmarking in Scale-Up of Ni-Rich Cathodes for Sodium-Ion Batteries, Journal of The Electrochemical Society, The Electrochemical Society, 2022, https://doi.org/10.1149/1945-7111/ac8248

Publisher : The Electrochemical Society

Year : 2022

Equivalent Circuit Model Parameters Estimation of Lithium-Ion Batteries Using Cuckoo Search Algorithm

Cite this Research Publication : Kamala Kumari Duru, Praneash Venkatachalam, Chanakya Karra, Asha Anish Madhavan, Sangaraju Sambasivam, Sujith Kalluri, Equivalent Circuit Model Parameters Estimation of Lithium-Ion Batteries Using Cuckoo Search Algorithm, Journal of The Electrochemical Society, The Electrochemical Society, 2022, https://doi.org/10.1149/1945-7111/aca6a5

Publisher : The Electrochemical Society

Year : 2021

Perspective—application-driven industrial-scale manufacturing of Li/Na-Ion battery cathodes: current status and future perspective

Cite this Research Publication : Karra, Chanakya, Praneash Venkatachalam, KK Duru, Pardha Saradhi Maram, Asha Anish Madhavan, and Sujith Kalluri. "Perspective—application-driven industrial-scale manufacturing of Li/Na-Ion battery cathodes: current status and future perspective." Journal of The Electrochemical Society 168, no. 5 (2021)

Year : 2021

Perspective—Application-Driven Industrial-Scale Manufacturing of Li/Na-Ion Battery Cathodes: Current Status and Future Perspective

Cite this Research Publication : Chanakya Karra, Praneash Venkatachalam, Kamala Kumari Duru, Pardha Saradhi Maram, Asha Anish Madhavan, Sujith Kalluri, Perspective—Application-Driven Industrial-Scale Manufacturing of Li/Na-Ion Battery Cathodes: Current Status and Future Perspective, Journal of The Electrochemical Society, The Electrochemical Society, 2021, https://doi.org/10.1149/1945-7111/abfab6

Publisher : The Electrochemical Society

Year : 2021

Critical Insights Into Fast Charging Techniques for Lithium-Ion Batteries in Electric Vehicles

Cite this Research Publication : Kamala Kumari Duru, Chanakya Karra, Praneash Venkatachalam, Sai Akhil Betha, Asha Anish Madhavan, Sujith Kalluri, Critical Insights Into Fast Charging Techniques for Lithium-Ion Batteries in Electric Vehicles, IEEE Transactions on Device and Materials Reliability, Institute of Electrical and Electronics Engineers (IEEE), 2021, https://doi.org/10.1109/tdmr.2021.3051840

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Conference Paper

Year : 2022

IoT Based Humidity, Temperature, and Gas Monitoring Using Arduino UNO

Cite this Research Publication : Saifuddin Ahmed Shaik Mohammed, Akhil Aluri, Kamala Duru, Praneash Venkatachalam, Chanakya Karra, Sujith Kalluri, IoT Based Humidity, Temperature, and Gas Monitoring Using Arduino UNO, ECS Transactions, The Electrochemical Society, 2022, https://doi.org/10.1149/10701.6435ecst

Publisher : The Electrochemical Society

Year : 2022

Lithium-Ion Battery Model Parameters Estimation Using Equivalent Circuit Model for E-mobility Applications

Cite this Research Publication : Kamala Duru, Praneash Venkatachalam, Chanakya Karra, Asha Anish Madhavan, Karthikeyan Elumalai, Sujith Kalluri, Lithium-Ion Battery Model Parameters Estimation Using Equivalent Circuit Model for E-mobility Applications, ECS Transactions, The Electrochemical Society, 2022, https://doi.org/10.1149/10701.7485ecst

Publisher : The Electrochemical Society

Qualifications
  • Ph.D. in Electronics and Communication Engineering, SRM University- AP, 2023
  • M.Tech. in Electronics and Communication Engineering, BVC Engineering College, 2015
  • B.Tech. in Electronics and Communication Engineering, V. R. Siddhartha Engineering College, 2011

 

Experience

Total Teaching Experience: 9 Years

Her teaching experience covers Electronics and Communication Engineering and interdisciplinary areas related to computing, artificial intelligence, machine learning, and energy-storage technologies.

Research
  • 20 research publications in international journals and conferences
  • Research contributions in lithium-ion batteries, battery modelling, fast charging, energy storage, and AI/ML-based battery applications
  • Published research in journals including IEEE Transactions on Device and Materials Reliability, Journal of The Electrochemical Society, ChemNanoMat, and Sustainable Energy & Fuels

Current Research Focus

AI/ML-based battery modelling, parameter estimation, degradation prediction, and intelligent fast-charging strategies for electric vehicle applications.

Awards
  • Emerging Researcher Award, from the OPTICA OSA Student Chapter, SRM University-AP in 2022
  • Academic excellence Award, GPW Nellore in 2018

Membership

  • IEEE, IETE, Optica
Research Interest
  1. Modelling, Parameter Estimation, and Characterization of Lithium-Ion Batteries
  2. Optimal, Fast, and Safe Charging Strategies for Lithium-Ion Batteries
  3. Machine Learning and Deep Learning for Battery Modelling, State Estimation, and Energy Management
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