About Me

Hi! I am Ainesh Bakshi, a Research Fellow at Rutgers, New Brunswick. In Fall 2017, I will be starting a PhD in Computer Science at Carnegie Mellon. My research interests lie in the intersection of Algorithms and Machine Learning.
Previously, I interned in the Search and Discoverabiltiy Group at Bloomberg and the Machine Learning and Optimization group at Microsoft Research. I have also been involved with research in External Memory Algorithms and their application to File Systems.

Publications

  • A. Conway, A. Bakshi, Y. Jiao, Y. Zhan, M. Bender, W. Jannen, R. Johnson, B. Kuzmaul, D. Porter, J. Yuan, M. Farach-Colton,"How to Fragment your File System", ;login: magazine, vol. 42(2), 2017.
  • A. Conway, A. Bakshi, Y. Jiao, W. Jannen, Y. Zhan, J. Yuan, M. Bender, R. Johnson, B. Kuzmaul, D. Porter, M. Farach-Colton,"File Systems fated for Senescence? Nonsense, Says Science!", Proceedings of the 15th USENIX Conference on File and Storage Technologies (FAST '17), Santa Clara, CA, February 2017.
  • R. Aggarwal, A. Bakshi, “Non Dominated Sorting Genetic Algorithm for Chance Constrained Supplier Selection Model with Volume Discounts” ACIIDS, Lecture Notes in Computer Science pp. 465–474, Apr 2014.
  • A. Bakshi, K. Goel and Raunaq. Vohra, “A Novel Feature Selection and Extraction Technique for Classification” ICFHR 2014, pp. 104-109.
  • R. Sant, N. Kulkarni, A. Bakshi, K. Goel, and S. Kapur, “Autonomous Robot Navigation: Path Planning on a Detail-Preserving Reduced-Complexity Representation of 3D Point Clouds” ICVS 2013, pp. 173–182, Jun 2013.
  • Posters

  • A. Bakshi, K. Goel and Raunaq. Vohra, “A Novel Feature Selection and Extraction Technique for Classification” SMC 2014, pp. 4033–4034, Oct 2014.
  • A. Bakshi, Kostas Bekris, "Human Robot Interaction: Machine Vision and End Effector Control" 10th Annual Aresty Undergraduate Research Symposium, Rutgers.