个人简介
姓 名：Aakash Kumar
学历学位：研究生/博士
职务：长春理工大学中山研究院 科研教师
电子邮件：akb0787@yahoo.com
研究领域：无人驾驶车辆与人工智能、深度学习、机器学习
Aakash Kumar博士，目前为未来光场与智慧城市实验室实验室核心成员。 他分别获得中国科学技术大学工学博士学位和中国科学技术大学工程硕士学位，目前在长春理工大学中山研究院从事博士后研究工作。
教育经历
2022年，毕业于中国科学技术大学，获工学博士学位。
2017年，毕业于中国科学技术大学，获工学硕士学位。
2013年, 汉语水平 (HSK-4), 安徽师范大学, 中国
2011年，毕业于巴基斯坦信德大学，电子工程学本科士学位。
其他资格：
2012 年，研究生评估测试 (GAT) 认证，巴基斯坦。
2011年，在巴基斯坦巴基斯坦钢铁厂实习。
职称与职务
2023年06月-至今, 长春理工大学中山研究院 博士后.
2022年12月-2023年06月, 机电工程学院，广州城建学院， 助教
2021年03月-2022年10月, COSIMA.AI, 美国，深度学工程.
2012年09月-2013年03月, Japan Internationals, 数据科学家, 巴基斯坦.
2011年09月-2012年05月, The Pioneers College main campus, 讲师, 巴基斯坦.
研究方向
自动驾驶、计算机视觉、机器学习与深度学习应用、机器视觉、医学影像
奖项及荣誉
全额中国政府奖学金（2013-2017）
全额资助的CAS-TWAS总统奖学金（2017-2021）
指导与教学
本科生：Python语言基础、机器学习与深度学习基础、专业英语。
研究生：专业英语、深度学习与应用、无人机计算机视觉。
代表性论文
在国内外发表学术论文共计15余篇，其中SCI收录10篇，EI收录5篇。部分学术论文如下：
Aakash Kumar, Shifeng Wang, Ali Muhammad Shaikh, Hazrat Bilal, Bo Lu, Shigeng Song, Building on Prior Lightweight CNN Model Combined with LSTM-AM
Framework to Guide Fault Detection in Fixed-wing UAVs, International Journal of Machine Learning and Cybernetics.
Aakash Kumar, Baoqun Yin, Ali Muhammad Shaikh, Munawar Ali, Wenyue Wei, CorrNet: Pearson Correlation based Pruning for Efficient Convolutional
Neural Networks, International Journal of Machine Learning and Cybernetics, Vol. 13, 3773–3783 (2022). https://doi.org/10.1007/s13042-022-01624-5.
Aakash Kumar, Baoqun Yin, Ajeet Kumar Bhatia, Aneel Kumar Bhatia, Avinash Rohra, Structure Level Pruning of Efficient Convolutional Neural
Networks with Sparse Group LASSO, International Journal of Machine Learning and Computing, Vol. 12, No. 5, September 2022.
Aakash Kumar, Ali Muhammad Shaikh, Yun Li, Hazrat Bilal, Baoqun Yin, Pruning filters with L1-norm and capped L1-norm for CNN
compression, Applied Intelligence, Vol. 51, 1152–1160 (2021). https://doi.org/10.1007/s10489-020-01894-y.
Yun Li, Luyang Wang, Sifan Peng, Aakash Kumar, Baoqun Yin，Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks，Lecture Notes in Computer Science(), vol 11728. Springer, Cham. https://doi.org/10.1007/978-3-030-30484-3_22.
Hazrat Bilal, Baoqun Yin, Aakash Kumar, Munawar Ali, Jing Zhang & Jinfa Yao , Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach. Soft Comput 27, 4029–4039 (2023). https://doi.org/10.1007/s00500-023-07923-5.
Munawar Ali, Baoqun Yin, Hazrat Bilal, Aakash Kumar, Ali Muhammad Shaikh & Avinash Rohra, Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-16852-2.
Munawar Ali; Baoqun Yin; Aakash Kumar; Ali Muhammad Sheikh; Hazrat Bilal, Reduction of Multiplications in Convolutional Neural Networks, 2020 39th Chinese Control Conference (CCC), DOI: 10.23919/CCC50068.2020.9188843.
Ajeet Kumar Bhatia, Ju Jiang, Aakash Kumar, Syed Awais Ali Shah, Avinash Rohra, Zhen ZiYang, Adaptive preview control with deck motion compensation for autonomous carrier landing of an aircraft, International Journal of Adaptive Control and Signal Processing 35 (5), 769-785.
Hazrat Bilal; Baoqun Yin; Jawad Khan; Luyang Wang; Jing Zhang; Aakash Kumar, Real-time lane detection and tracking for advanced driver assistance systems, 2019 Chinese control conference (CCC), 6772-6777.
Sifan Peng, Baoqun Yin, Xiaoliang Hao, Qianqian Yang, Aakash Kumar & Luyang Wang, Depth and edge auxiliary learning for still image crowd density estimation. Pattern Anal Applic 24, 1777–1792 (2021). https://doi.org/10.1007/s10044-021-01017-4.
Muhammad Hunain Memon, Aakash kumar, Muhammad Hammad Memon, Syeda Munazza Marium, Jalaluddin Khan, Security and Privacy Issues of Medical Systems in Wireless Sensor Networks: A Survey, Asian Journal of Convergence in Technology, VOL 5 NO 3 (2019): VOLUME 5 ISSUE 3.
Muhammad Hunain Memon; Muhammad Hammad Memon; Aakash kumar; Syeda Munazza Marium; Jalaluddin Khan, Prototype of Smart Trainable Robotic Arm, 2019 IEEE 5th International Conference for Convergence in Technology (I2CT), DOI: 10.1109/I2CT45611.2019.9033778.
社会职务
学术期刊审稿人: <The Journal of Big Data>, <Neural Processing Letters>, <International Journal of Machine Learning and Cybernetics>
Aakash Kumar, Ph.D., postdoctroal researcher, Zhongshan Institute of Changchun University of Science and Technology, the core member of the Lab for Autonomous Vehicle and Optoelectronic Device. He received the Doctor of Engineering Degree from the University of Science and Technoloy of China, P.R China and the Master of Engineering Degree from University of Science and Technology of China, P.R China, respectively. He was trained as visiting scholar in Changchun University of Science and Technology, China. He was honored as a 1000 graduate scholar by The Word Academy of Sciences (TWAS). He finished 3 projects as a team member. He has published over 15 articles and 4 as first author.
Education and Training
2022, received the degree of Doctor of Engineering, University of Science and Technology of China (USTC), China.
2017, received Master's degree in Engineering, USTC, China.
2013, Diploma in Chinese Language (HSK-4), Anhui Normal University, China
2011, received Bachelor's degree in Electronic Engineering, University of Sindh, Pakistan.
Other qualification:
2012, Graduate Assessment Test (GAT) Certification, Pakistan.
2011, worked as an Internee at Pakistan Steel Mills, Pakistan.
Academic/Industrial Title and Position:
2023/06-present, Postdoctroal Researcher, Zhongshan Institute of Changchun University of Science and Technology, China.
2022/12-2023/06, Teaching Assistant, School of Electrical and Mechnical Engineering, Guangzhou City Construction College, China.
2021/03-2022/10, Deep Learning Engineer, COSIMA.AI, NY City, USA.
2012/09-2013/03, Data Scientist, Japan Internationals, Pakistan.
2011/09-2012/05, Lecturer, The Pioneers College main campus, Pakistan.
Awards and Honors
Fully Funded Chinese Government Scholarship (2013-2017)
Fully Fundded CAS-TWAS Presidential Fellowship(2017-2021)
Research Interests:
Autonomous Vehicle, Computer Vision, Machine Learning and Deep Learning Application, Machine Vision, Medical Imaging
Supervision
1) Ph.D. candidate in Autonmous Vehicle Technology and AI; (Available for 0-1 international candidates per year)
2) Master candidates in Autonmous Vehicle Technology and AI; (Available for 0-1 international candidates per year)
3) Ph.D. candidates in Computer Vison Tasks; (Available for 0-1 international candidates per year)
4) Master candidates in Computer Vison Tasks; (Available for 0-1 international candidates per year)
To whom it may concern: the graduate student who applies my supervision please be aware that the majority period of your study is required to be performed at Zhongshan city, Guangdong province, China.
E-mail Address: akb0787 A T yahoo.com
Teaching Modules
Teaching and taught modules since 2011:
For undergraduate students: Fundamental of Python Language, Basics of Machine leaning and Deep Leanring, Professional English.
For graduate students: Professional English, Deep Leanring and Applications, Computer Vision for UAVs.
Supervised and supervising: 2 PhD students.
Selected Papers:
Aakash Kumar, Shifeng Wang, Ali Muhammad Shaikh, Hazrat Bilal, Bo Lu, Shigeng Song, Building on Prior Lightweight CNN Model Combined with LSTM-AM
Framework to Guide Fault Detection in Fixed-wing UAVs, International Journal of Machine Learning and Cybernetics.
Aakash Kumar, Baoqun Yin, Ali Muhammad Shaikh, Munawar Ali, Wenyue Wei, CorrNet: Pearson Correlation based Pruning for Efficient Convolutional
Neural Networks, International Journal of Machine Learning and Cybernetics, Vol. 13, 3773–3783 (2022). https://doi.org/10.1007/s13042-022-01624-5.
Aakash Kumar, Baoqun Yin, Ajeet Kumar Bhatia, Aneel Kumar Bhatia, Avinash Rohra, Structure Level Pruning of Efficient Convolutional Neural
Networks with Sparse Group LASSO, International Journal of Machine Learning and Computing, Vol. 12, No. 5, September 2022.
Aakash Kumar, Ali Muhammad Shaikh, Yun Li, Hazrat Bilal, Baoqun Yin, Pruning filters with L1-norm and capped L1-norm for CNN
compression, Applied Intelligence, Vol. 51, 1152–1160 (2021). https://doi.org/10.1007/s10489-020-01894-y.
Yun Li, Luyang Wang, Sifan Peng, Aakash Kumar, Baoqun Yin，Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks，Lecture Notes in Computer Science(), vol 11728. Springer, Cham. https://doi.org/10.1007/978-3-030-30484-3_22.
Hazrat Bilal, Baoqun Yin, Aakash Kumar, Munawar Ali, Jing Zhang & Jinfa Yao , Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach. Soft Comput 27, 4029–4039 (2023). https://doi.org/10.1007/s00500-023-07923-5.
Munawar Ali, Baoqun Yin, Hazrat Bilal, Aakash Kumar, Ali Muhammad Shaikh & Avinash Rohra, Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-16852-2.
Munawar Ali; Baoqun Yin; Aakash Kumar; Ali Muhammad Sheikh; Hazrat Bilal, Reduction of Multiplications in Convolutional Neural Networks, 2020 39th Chinese Control Conference (CCC), DOI: 10.23919/CCC50068.2020.9188843.
Ajeet Kumar Bhatia, Ju Jiang, Aakash Kumar, Syed Awais Ali Shah, Avinash Rohra, Zhen ZiYang, Adaptive preview control with deck motion compensation for autonomous carrier landing of an aircraft, International Journal of Adaptive Control and Signal Processing 35 (5), 769-785.
Hazrat Bilal; Baoqun Yin; Jawad Khan; Luyang Wang; Jing Zhang; Aakash Kumar, Real-time lane detection and tracking for advanced driver assistance systems, 2019 Chinese control conference (CCC), 6772-6777.
Sifan Peng, Baoqun Yin, Xiaoliang Hao, Qianqian Yang, Aakash Kumar & Luyang Wang, Depth and edge auxiliary learning for still image crowd density estimation. Pattern Anal Applic 24, 1777–1792 (2021). https://doi.org/10.1007/s10044-021-01017-4.
Muhammad Hunain Memon, Aakash kumar, Muhammad Hammad Memon, Syeda Munazza Marium, Jalaluddin Khan, Security and Privacy Issues of Medical Systems in Wireless Sensor Networks: A Survey, Asian Journal of Convergence in Technology, VOL 5 NO 3 (2019): VOLUME 5 ISSUE 3.
Muhammad Hunain Memon; Muhammad Hammad Memon; Aakash kumar; Syeda Munazza Marium; Jalaluddin Khan, Prototype of Smart Trainable Robotic Arm, 2019 IEEE 5th International Conference for Convergence in Technology (I2CT), DOI: 10.1109/I2CT45611.2019.9033778.
Reviewer
<The Journal of Big Data>, <Neural Processing Letters>, <International Journal of Machine Learning and Cybernetics>