华中科技大学机械科学与工程学院 副教授
联系方式
邮箱：akhilgarg@hust.edu.cn
个人主页：http://mse.hust.edu.cn/info/1151/1542.htm
研究方向
储能系统设计
计算智能方法
制造系统设计
拓扑优化设计
科研项目
[1]广东省“扬帆计划”引进紧缺拔尖人才项目，2017.01-2019.12
代表性成果
[1] Garg A, Shankhwar K, Jiang DZ, Vijayaraghavan V, Panda BN, Panda SS. An evolutionary framework in modelling of multi-output characteristics of the bone drilling process. Neural Comput Appl. 2018;29:1233-41.
[2] Garg A, Li JH, Hou JJ, Berretta C, Garg A. A new computational approach for estimation of wilting point for green infrastructure. Measurement. 2017;111:351-8.
[3] Garg A, Lam JSL, Panda BN. A hybrid computational intelligence framework in modelling of coal-oil agglomeration phenomenon. Appl Soft Comput. 2017;55:402-12.
[4] Garg A, Vijayaraghavan V, Zhang J, Lam JSL. Robust model design for evaluation of power characteristics of the cleaner energy system. Renew Energ. 2017;112:302-13.
[5] Garg A, Lam JSL, Gao L. Energy conservation in manufacturing operations: modelling the milling process by a new complexity-based evolutionary approach. J Clean Prod. 2015;108:34-45.
[6] Garg A, Lam JSL. Improving environmental sustainability by formulation of generalized power consumption models using an ensemble based multi-gene genetic programming approach. J Clean Prod. 2015;102:246-63.
[7] Garg A, Vijayaraghavan V, Lam JSL, Singru PM, Gao L. A molecular simulation based computational intelligence study of a nano-machining process with implications on its environmental performance. Swarm Evol Comput. 2015;21:54-63.
[8] Garg A, Tai K, Lee CH, Savalani MM. A hybrid M5 '-genetic programming approach for ensuring greater trustworthiness of prediction ability in modelling of FDM process. J Intell Manuf. 2014;25:1349-65.
[9] Garg A, Vijayaraghavan V, Mahapatra SS, Tai K, Wong CH. Performance evaluation of microbial fuel cell by artificial intelligence methods. Expert Syst Appl. 2014;41:1389-99.
[10] Garg A, Garg A, Tai K, Sreedeep S. An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopes. Eng Appl Artif Intel. 2014;30:30-40.
荣誉奖励
[1]SCI期刊Frontiers of Mechanical Engineering颁发的“年度最佳论文奖”，2018年
[2]IPRoMM国际会议最佳论文奖，2016年
社会兼职
Engineering Applications of Artificial Intelligence, Journal of Cleaner Production, Chemometrics and Intelligent Laboratory Systems, Measurement等国际学术期刊优秀审稿人
