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Profile Details
Subject Matter Expertise
Services
Writing
Technical Writing,
Copywriting
Research
Market Research,
Systematic Literature Review,
Secondary Data Collection
Data & AI
Statistical Analysis,
Algorithm Design-Non ML,
Data Visualization
Product Development
Formulation
Work Experience
Deep Learning | Machine Learning | Data Science
Cosima.ai
March 2021 - Present
Machine learning Expert
Upwork Global Inc
March 2020 - Present 
Deep Learning Researcher
Cosima.AI
March 2021 - October 2022
Dataanalyst
Japan International
April 2012 - May 2013
Education
Doctor of Philosophy (Ph.D)
University of Science and Technology of China
September 2017 - December 2021
MS Computer Science
University of Science and Technology of China
September 2014 - July 2017
Certifications
Publications
JOURNAL ARTICLE
Aakash Kumar, Lei Zhang, Hazrat Bilal, Shifeng Wang, Ali Muhammad Shaikh, Lu Bo, Avinash Rohra, Alisha Khalid (2025). DSQN: Robust path planning of mobile robot based on deep spiking Q-network . Neurocomputing.
Aakash Kumar, Shifeng Wang, Ali Muhammad Shaikh, Hazrat Bilal, Bo Lu, Shigeng Song (2024). 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.
CorrNet: pearson correlation based pruning for efficient convolutional neural networks <head>
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</head> . International Journal of Machine Learning and Cybernetics.
Structure Level Pruning of Efficient Convolutional Neural Networks with Sparse Group LASSO @article{2022, doi = {10.18178/ijmlc.2022.12.5.1111}, url = {https://doi.org/10.18178%2Fijmlc.2022.12.5.1111}, year = 2022, month = {sep}, publisher = {{EJournal} Publishing}, volume = {12}, number = {5}, title = {Structure Level Pruning of Efficient Convolutional Neural Networks with Sparse Group {LASSO}}, journal = {International Journal of Machine Learning and Computing}} . International Journal of Machine Learning and Computing.
Sifan Peng and Baoqun Yin and Xiaoliang Hao and Qianqian Yang and Aakash Kumar and Luyang Wang(2021). Depth and edge auxiliary learning for still image crowd density estimation . Pattern Analysis and Applications. Springer Science and Business Media {LLC}
Ajeet Kumar Bhatia and Ju Jiang and Aakash Kumar and Syed Awais Ali Shah and Avinash Rohra and Zhen ZiYang(2021). Adaptive preview control with deck motion compensation for autonomous carrier landing of an aircraft . International Journal of Adaptive Control and Signal Processing. 35. (5). p. 769--785. Wiley
Aakash Kumar, Ali Muhammad Shaikh, Yun Li, Hazrat Bilal, Baoqun Yin(2021). Pruning filters with L1-norm and capped L1-norm for CNN compression . Applied Intelligence. 51. (2). p. 1152--1160. Springer Science and Business Media {LLC}
CONFERENCE PAPER
Aakash Kumar, Avinash Rohra, Shifeng Wang, Naveed Ahmed, Lu Bo, Ali Muhammad Shaikh (2025). DCGMDL: Deep Conditional Generative Model for Dictionary Learning in Supervised Classification . 2025 24th International Symposium INFOTEH-JAHORINA (INFOTEH).
(2020). Reduction of Multiplications in Convolutional Neural Networks . 2020 39th Chinese Control Conference (CCC).
(2019). Real-Time Lane Detection and Tracking for Advanced Driver Assistance Systems . 2019 Chinese Control Conference (CCC).
BOOK CHAPTER
(2019). Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks . Lecture Notes in Computer Science.
Ratings and Comments
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