Akhil Garg

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. 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 been awarded High Level Provincial Talent project in the year 2016 from Guangdong provincial government and Hubei ChuTian title from Hubei Government in the year 2023. 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 google scholar H-index of 32 and i-10 index of 85. He is Associate Editor of ASME Journal of Electrochemical Energy Conversion and Storage, Guest Editor of ASME Journal of Computing Information Science and Engineering, Associate Editor of International Journal of Ambient energy and Guest Editor of International Journal of Green Energy.

Application of AI methods for battery recycling; Machine learning for battery synthesis; Genetic programming; AI-driven Topology optimization for cleaner energy

Relevance of Research to Industry:
His research has actively deployed and developed artificial intelligence (AI) to solve critical challenges in the battery industry, particularly for electric vehicles (EVs). His research integrates machine learning (ML), deep learning, and AI-driven optimization to enhance battery performance, safety, and sustainability. He has developed AI-based thermal management systems using surrogate modeling and neural networks to optimize cooling efficiency and prevent overheating. His work on state-of-health (SoH) and state-of-charge (SoC) estimation employs advanced AI techniques, including CNN-LSTM hybrid models, transfer learning, and digital twin frameworks, enabling real-time battery diagnostics and predictive maintenance. Additionally, his team has applied AI-powered clustering and genetic algorithms to improve battery recycling processes, such as cell sorting and residual energy assessment. By combining multidisciplinary optimization with AI, his contributions provide industry-focused solutions for longer battery life, faster charging, and sustainable energy storage, bridging the gap between cutting-edge research and real-world applications.

My past students:

Li Shui (Master student 2016-2019): Famous battery company in Tianjian

Liu Yun (Master student 2017-2020): Got PhD offer with full scholarship at Hong Kong PolyTechnic University (HKPU), immediately after completing Master program under my guidance. He also received full CSC scholarship to pursue PhD at UTS Sydney, Australia.

Now Joining Assistant Professor at Beijing University of Technology, Zhuhai

Li Wei (PhD student 2017-2020): I co-supervised his PhD thesis at Huazhong University of Science and Technology, Wuhan. He received many National and International research paper awards including and is now working as Associate Professor at Hefei University of Technology, Hefei at China

my Other Master students (Lu Liezhi, Chen Peiru, etc) are now working at Huawei Ltd. in Wuhan.

Awards and Achievements 

1. ChuTian Title (Hubei Excellent Youth title) award by Hubei Provincial Government (January 2023)
2. Guangdong Superior Talent Award for excellent Research (Guangdong Yangfan) by Provincial government. (2016-2019)
3. Huazhong Scholar award by Huazhong University of Science and Technology for excellent citations index. (August 2019-December 2022)
4. Excellent Youth Talent Plan by Shantou University in the year 2018.
5. 2014-2015, Rated as “Far exceeded expectation” employee by Nanyang Technological University (NTU), Singapore
6. 2014, Post-Doctoral Fellowship by Ministry of Port and Authority (MPA), Singapore  
7. Awarded full Research Scholarship by Ministry of Education (MOE), Republic of Singapore for pursuing higher studies at Nanyang Technological University (NTU), Singapore.
8. 2010, Scored 98.6 percentile in National level Postgraduate examination (GATE) in India.  
9. 2010-2015, receives three International travel grants from NTU Singapore to attend overseas conferences

Key Editorial Position

1. Deputy Editor-in-Chief of IET Collaborative Intelligent Manufacturing (IET CIM, Wiley) SCI Journal
2. Associate Editor of ASME Journal of Electrochemical Energy Conversion and Storage (SCI indexed)
3. Guest Editor (GE) of American Society of Mechanical Engineers ASME Journal of Computing Information Science and Engineering (SCI indexed) titled “Digitalization and Automation of Energy Systems.”
4. Editor of Book Series “Engineering Applications of Computational Methods” (Springer) Publisher (EI indexed)
5. Guest Editor for Special Issue titled “Digitalization and Automation of Energy Systems” for International journal of Green energy (SCI indexed)
6. Guest Editor for Special Issue titled “Trends and Prospects in Lithium-Ion Batteries” for Batteries Journal (SCI indexed)

2018-2019 - Invited Lecture on "AI for Battery pack Design for electric vehicles" at University of Nottingham, Malaysia campus of UK.

2016-2019 - Courses on "Energy Storage Systems"; "AI and Optimization"; at Shantou University, Guangdong, China

2019-2025 - Course on "Principles of Scheduling; AI Algorithms" Huazhong University of Science and Technology, Wuhan, China

2023-2025 - "Battery Failures" at China-European Union (EU) Institute of Cleaner Energy, Huazhong University of Science and Technology, Wuhan, China

2026- AI in Materials Science (Starting-Sping Semester of 2026 at XJTLU) (Tentative)

2027-AI in Materials Science (Advanced) at XJTLU (Tentative)

Present experience:

(1) June 12, 2025- Present: Associate Professor at Department of Chemistry and Materials Science

Past experience:

(2) Associate Professor (ChuTian Scholar Title of Hubei Province) at Huazhong University of Science and Technology, Wuhan, China

(3) Faculty at CART at IIT Delhi

(4) Associate Professor (Guangdong Yangfan title award by Guangdong Province) at Shantou University, Guangdong, China

(5) Research Fellow of Nanyang Technological University, China