"What you think, you become. What you feel, you attract. What you imagine, you create". -Gautam Buddh
About Me:
I have recently joined Rakuten Mobile Inc. in Tokyo after completing my Ph.D. from the Indian Institute of Technology Hyderabad, India, and Swinburne University of Technology, Australia, in a joint program under the supervision of Dr. Antony Franklin A. and Dr. Jiong Jin. During my Ph.D., I worked on the optimization of video services, including 360-degree videos for the wireless networks using the Mobile Edge Computing (MEC). My research interests lie in Mobile Edge Computing (MEC), Wireless Networks, Multimedia Services, and Machine Learning. Currently, I am working on HD-Map and Federated Learning (FL) applications in autonomous driving through C-V2X.
Education:
PhD | Indian Institue of Technology Hyderabad, India & Swinburne University of Technology, Melbourne, Australia | 2015-2021 |
M.Tech. | Sardar Vallabbhai National Institute of Technology, Surat, India | 2011-2013 |
B.Tech. | Gautam Buddh Technical University, Uttar Pradesh, India | 2007-2011 |
Work Experience:
Teaching Assistant | Indian Institue of Technology Hyderabad, India | 2015-2019 |
Asst. Professor | Parul Institute of Engineering and Technology, Vadodara, Gujarat, India | 2013-2015 |
Others:
Research Internship | University of Tokyo, Japan | 2016 |
Publications:
- Shashwat Kumar, A. Franklin A, J. Jin and Y. -n. Dong, "Seer: Learning-Based 360-degree Video Streaming for MEC-Equipped Cellular Networks," in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2023.3257403.
- Shashwat Kumar et al., "5G on the Roads: Latency-optimized Federated Analytics in the Vehicular Edge," in IEEE Access, doi: 10.1109/ACCESS.2023.3301330.
- Shashwat Kumar et al., "5G on the roads: optimizing the latency of federated analysis in vehicular edge networks," NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, Miami, FL, USA, 2023, pp. 1-5, doi: 10.1109/NOMS56928.2023.10154348.
- Shashwat Kumar et al., "Federated learning for vehicular coordination use cases," NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, Miami, FL, USA, 2023, pp. 1-6, doi: 10.1109/NOMS56928.2023.10154405.
- Shashwat Kumar, Lalit Bhagat, Antony Franklin, Jiong Jin, "Multi-Neural Network based Tiled 360° Video Caching with Mobile Edge Computing," Journal of Network and Computer Applications (JNCA), May 2022.
- Jyoti Tiwari, Shashwat Kumar, Antony Franklin A., "A Prediction-based Online Cost Optimization Algorithm for 5G Vertical," IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) 2021. (Best paper award)
- Saurabh S. Dange, Shashwat Kumar, Antony Franklin A., "Content-Aware Optimization of Tiled 360° Video Streaming Over Cellular Network, " International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) 2021. [PDF]
- S. Kumar, S. V. Doddala, A. A. Franklin, J. Jin, "Ran-aware adaptive video caching in multi-access edge computing networks", Journal of Network and Computer Applications 168 (2020). [PDF]
- Shashwat Kumar, Doddala Sai Vineeth, Antony Franklin A.,"Edge Assisted DASH Video Caching Mechanism for Multi-access Edge Computing", IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) 2018. [PDF]
- Shashwat Kumar and Antony Franklin A.,"Consolidated Caching with Cache Splitting and Trans-rating in Mobile Edge Computing Networks", IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) 2017. [PDF]
- Shashwat Kumar, Himank Gupta, and Antony Franklin A.,"Experimental Evaluation of YouTube Performance on MPTCP-based LTE-WLAN Integration" , IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) 2017. [PDF]