0009-0008-0359-893X About
Dr. Akhil Garg is currently working as an Associate Professor at School of Chemistry and Materials Science at XJTLU. Previously, he had worked at Mechanical Science and Engineering at Huazhong University of Science and Technology (HUST), China. He also taught course on “Battery failures” at China-European Union (EU) Institute of Cleaner and Renewable energy at HUST. He is also external advisory board member of BatCAT Project (about batteries) funded by EU. His PhD is from School of Mechanical and Aerospace Engineering from Nanyang Technological University, Singapore. During his PhD, he has worked jointly with Aerospace Industry, Rolls-Royce (UK), Singapore for 2 years on Artificial Intelligence and Robust Design optimization from the year 2010-2012. His main research interests includes Machine learning for battery synthesis; Genetic programming; AI-driven Topology optimization for cleaner energy; He has been listed in Stanford Elsevier World's Top 2% Scientists List for the last 2 years. He has experience of presiding over the Hubei NSFC (2023-2025) project on deep learning-driven topology optimization for battery cold plate design; Guangdong talent project (2016-2019); International academic project jointly with Queen Mary University of London (2022-2023) and St. Petersburg State University of Russia (2023-2024). He has published over 100 peer reviewed articles in this field and have scopus H-index of 47.
Employment
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XJTLU Associate Professor2025 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (267)
- A Novel Health Indicator-Based RBF-FGSPF Framework for Health Prognosis of Lithium-Ion Batteries in Dynamic Operating Conditions Save
- A Novel Method Based on Hybridization of Generative Adversarial Imputation Nets and SDAE-Kriging for RUL Prediction of Lithium-Ion Battery in Scenarios of Missing and Incomplete Data Save
- A Temperature Control Framework for Battery Based on Digital Twin Save
- A White-Box Equivalent Neural Network Ensemble for Health Estimation of Lithium-Ion Batteries Save
- A comprehensive review of thermal runaway for batteries: experimental; modelling, challenges and proposed framework Save
- Energy consumption modeling and optimization of an eVTOL aircraft: Integrating weight, motor, and battery dynamics Save
- Health Prognosis of Lithium-Ion Batteries using CNN-SVR Fusion Model for Dynamic Discharge Save
- Health-aware battery fast charging technique with zonal battery model using pulsed amplitude-width modulation and multi-step constant current constant voltage Save
- Inter-provincial disparities in the unity: unpacking the written and unwritten rules in China’s foreign faculty recruitment policies Save
- Multidisciplinary robust design optimization under combined parameter and surrogate model uncertainties: a new computational framework for sparse samples and extreme scenarios Save
- Performance study of cooling plates with single and double outlets for lithium-ion battery thermal management system based on topology optimization Save
- Topology optimization of cold plates for enhanced heat transfer in battery packs: A comparative study of various optimized designs and impact of hybrid nanofluids as coolant Save
- Transfer Adaptive Digital Twin for Cross-Domain State-of-Health Estimation of Li-Ion Batteries Save
- Transfer learning based topology optimization of battery cooling channels design for improved thermal performance Save
- A Novel Self-Reconfigurable Battery Pack Design with and without Active Cell Balancing Save
- A comprehensive numerical study based on topology optimization for cooling plates thermal design of battery packs Save
- A comprehensive study for evaluation of cell cooling coefficient of the batteries of fixed sizes and batteries with defects in manufacturing Save
- A novel feedback control algorithm for effective design of reconfigurable battery packs for electric vehicles Save
- A novel preheating systems for columnar lithium batteries for below zero degrees celsius environment based on topology optimization Save
- A topology optimization for design of double input-single output battery module liquid cooling plate with improved thermal performance Save