Dr. Akhil Garg is currently an Associate Professor at the School of Chemistry and Materials Science, Xi'an Jiaotong-Liverpool University (XJTLU), China. He previously served at Huazhong University of Science and Technology (HUST), where he also taught "Battery Failures" at the China-EU Institute of Cleaner and Renewable Energy. He is an external advisory board member of the EU-funded BatCAT Project. He received his PhD from Nanyang Technological University (NTU), Singapore, where he worked jointly with Rolls-Royce (UK), Singapore, on AI and robust design optimization (2010–2012). He has also worked with Dr. Alexandra Warnecke, Head of R&D of HELLA Automotive Limited, Germany, to publish articles in top journals related to new energy vehicles, such as IEEE Transactions on Transportation Electrification. His research interests include machine learning for battery synthesis, genetic programming, AI-driven topology optimization for cleaner energy, and AI applications in new energy vehicles and battery thermal management. He has led multiple research projects, including the Hubei NSFC project on deep learning-driven topology optimization for battery cold plates (2024–2027), the Guangdong Yangfan Talent Project (2017–2019), and international collaborations with Queen Mary University of London (2022) and St. Petersburg State University (2023). He has been listed in the Stanford Elsevier World's Top 2% Scientists List for two consecutive years, has published over 240 peer-reviewed articles, and holds a Scopus H-index of 49.

Akhil Garg博士现任中国西安利物浦大学（XJTLU）化学与材料科学学院副教授。他曾任职于华中科技大学（HUST）机械科学与工程学院，并在华中科技大学中欧清洁与可再生能源学院讲授"电池失效"课程。他是欧盟资助的BatCAT项目的外部顾问委员会成员。他在新加坡南洋理工大学（NTU）获得博士学位，期间与罗尔斯·罗伊斯（英国）新加坡分公司联合从事人工智能与鲁棒设计优化研究（2010–2012年）。他还曾与德国海拉汽车有限公司研发总监Alexandra Warnecke博士合作，在新能源汽车领域的顶级期刊（如《IEEE交通电气化汇刊》）上发表论文。他的研究兴趣包括用于电池合成的机器学习、遗传编程、面向清洁能源的人工智能驱动拓扑优化，以及人工智能在新能源汽车和电池热管理中的应用。他主持了多项研究项目，包括湖北省自然科学基金项目（基于深度学习的电池冷板拓扑优化，2024–2027年）、广东省扬帆人才计划（2017–2019年），以及与伦敦玛丽女王大学（2022年）和圣彼得堡国立大学（2023年）的国际合作项目。他连续两年入选斯坦福-爱思唯尔全球前2%顶尖科学家榜单，发表同行评审论文240余篇，Scopus H指数为49。

His research interests include machine learning for battery synthesis, genetic programming, AI-driven topology optimization for cleaner energy, and AI applications in new energy vehicles and battery thermal management. He actively collaborates with industry leaders such as Rolls-Royce (UK) and HELLA Automotive (Germany) to translate cutting-edge AI research into practical solutions for battery health estimation, robust design optimization, and next-generation energy storage systems.

他的研究兴趣包括用于电池合成的机器学习、遗传编程、面向清洁能源的人工智能驱动拓扑优化，以及人工智能在新能源汽车和电池热管理中的应用。他积极与行业领军企业如罗尔斯·罗伊斯（英国）和海拉汽车（德国）合作，将前沿的人工智能研究成果转化为电池健康状态估计、鲁棒设计优化以及下一代储能系统的实际解决方案。 

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. Notably, he has published joint research with HELLA Automotive Limited (Germany) and Rolls-Royce (UK, Singapore) on AI-driven battery health estimation and robust design optimization, bridging academic innovation with industry-leading R&D. 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.

他的研究积极部署和开发了人工智能（AI）技术，以解决电池行业的关键挑战，特别是针对电动汽车（EV）的应用。他的研究整合了机器学习（ML）、深度学习以及AI驱动的优化方法，以提升电池的性能、安全性和可持续性。他利用代理模型和神经网络开发了基于AI的热管理系统，以优化冷却效率并防止过热。他在电池健康状态（SoH）和荷电状态（SoC）估算方面的工作采用了先进的AI技术，包括CNN-LSTM混合模型、迁移学习和数字孪生框架，实现了电池的实时诊断和预测性维护。值得注意的是，他与德国海拉汽车有限公司（HELLA Automotive Limited）以及罗尔斯·罗伊斯（Rolls-Royce，英国/新加坡）合作发表了关于AI驱动的电池健康状态估计和鲁棒设计优化的联合研究成果，架起了学术创新与行业领先研发之间的桥梁。此外，他的团队还应用了基于AI的聚类算法和遗传算法来改善电池回收流程，例如电池分选和剩余能量评估。通过将多学科优化与AI相结合，他的贡献为延长电池寿命、实现更快充电和可持续储能提供了面向行业的解决方案，弥合了前沿研究与实际应用之间的差距。

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.

• 连续两年入选斯坦福-爱思唯尔全球前2%顶尖科学家榜单。

• 受聘为欧盟资助的BatCAT项目（电池相关）外部顾问委员会成员。

• 湖北省政府授予"楚天学者"（湖北省优秀青年人才）称号（2023年1月）。

• 广东省政府授予"广东省优秀人才奖"（广东扬帆计划）（2016–2019年）。

• 华中科技大学授予"华中卓越学者"称号，以表彰其优秀引用指数（2019年8月 – 2022年12月）。

• 汕头大学"优秀青年人才计划"（2018年）。

• 2014–2015年，被新加坡南洋理工大学评为"远超预期"员工。

• 2014年，获得新加坡海事及港务管理局博士后研究奖学金。

• 获得新加坡共和国教育部全额研究奖学金，用于在新加坡南洋理工大学攻读更高学位。

• 2010年，在印度国家研究生入学考试（GATE）中取得98.6百分位数。

• 2010–2015年，三次获得新加坡南洋理工大学国际差旅资助，用于参加海外学术会议。
  
  English version

1. Listed in Stanford Elsevier World's Top 2% Scientists List for the last 2 years.
2. Recognized as external advisory board member of BatCAT Project (about batteries) funded by EU.
3. ChuTian Title (Hubei Excellent Youth title) award by Hubei Provincial Government (January 2023)
4. Guangdong Superior Talent Award for excellent Research (Guangdong Yangfan) by Provincial government. (2016-2019)
5. Huazhong Scholar award by Huazhong University of Science and Technology for excellent citations index. (August 2019-December 2022)
6. Excellent Youth Talent Plan by Shantou University in the year 2018.
7. 2014-2015, Rated as “Far exceeded expectation” employee by Nanyang Technological University (NTU), Singapore
8. 2014, Post-Doctoral Fellowship by Ministry of Port and Authority (MPA), Singapore  
9. Awarded full Research Scholarship by Ministry of Education (MOE), Republic of Singapore for pursuing higher studies at Nanyang Technological University (NTU), Singapore.
10. 2010, Scored 98.6 percentile in National level Postgraduate examination (GATE) in India.  
11. 2010-2015, receives three International travel grants from NTU Singapore to attend overseas conferences
    
    

Key Editorial Position in reputed journals

• IET Collaborative Intelligent Manufacturing（IET CIM，Wiley，SCI期刊） 副主编

• ASME Journal of Electrochemical Energy Conversion and Storage（SCI索引期刊） 副主编

• International Journal of Ambient Energy（Taylor & Francis，Scopus索引期刊） 区域主编

• Discover Vehicles（Springer） 编委会成员

• ASME Journal of Computing Information Science and Engineering（SCI索引期刊） 客座编辑，专刊主题："Digitalization and Automation of Energy Systems"（能源系统的数字化与自动化）

• "Engineering Applications of Computational Methods"（Springer出版社） 丛书编辑（EI索引）

• International Journal of Green Energy（SCI索引期刊） 客座编辑，专刊主题："Digitalization and Automation of Energy Systems"（能源系统的数字化与自动化）

• Batteries Journal（SCI索引期刊） 客座编辑，专刊主题："Trends and Prospects in Lithium-Ion Batteries"（锂离子电池的发展趋势与前景）

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. Regional Editor of International Journal of Ambient Energy (Taylor francis, Scopus indexed)
4. Editorial Board Member of Discover Vehicles (Springer).
5. 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.”
6. Editor of Book Series “Engineering Applications of Computational Methods” (Springer) Publisher (EI indexed)
7. Guest Editor for Special Issue titled “Digitalization and Automation of Energy Systems” for International journal of Green energy (SCI indexed)
8. 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）2025年6月12日 – 至今： 中国苏州西安利物浦大学（XJTLU）化学与材料科学学院副教授

（2）2019年8月 – 2025年5月： 副教授（湖北省楚天学者），中国武汉华中科技大学

（3）2016年3月 – 2019年7月： 副教授（广东省扬帆计划人才），中国广东汕头大学

（4）2014年9月 – 2016年3月： 研究研究员，新加坡南洋理工大学（NTU）

(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