Hi! I am Bakshree Mishra and I am a 4th year PhD Candidate in the Department of Computer Science at the University of Illinois, Urbana-Champaign. My primary area of interest is in computer architecture for next-gen algorithms and computations, and I work under the supervision of Prof. Sarita Adve.
I am highly interested in hardware-software for emerging workloads in areas including, but not restricted to, extended reality (XR) and machine learning (MLSys). My recent research has involved evaluating and addressing bottlenecks in fine-grained acceleration of workloads in various domains (XR, autonomous driving and ML) using on-chip heterogeneous accelerators in shared memory SoCs.
Prior to this, I worked as a Machine Learning Engineer + IP Logic Design Engineer at Intel, where I worked on analyzing ML algorithms and accelerating them in hardware. I have created custom architectures for CNNs as well as traditional ML classifiers, as well as created a Context Aware Voice/NLP agent. On the hardware side, I have owned and designed modules going into both FPGA and SOCs.
I completed my undergrad at College of Engineering and Technology, Bhubaneswar and my Masters from National Institute of Technology, Rourkela, majoring in Computer Science. My Masters research on Real-time computer vision-based Pedestrian Detection Systems was conducted under the supervision of Prof. Bansidhar Majhi.
Updates
June 2024: | Our work, "Taming the Acceleration Tax: Enabling New Opportunities for Fine-Grained, Disaggregated Accelerator-Level Parallelism", got accepted into PACT 2024! That's over 2 years hard work, systems design and research on actual hardware. Many congratulations to my co-authors and especially grateful for my advisor's faith in our work! |
May 2024: | I will be interning with the RAD team at Bellevue this summer! I am excited to work with John Alsop, Michael Boyer and Mike Ignatowski on tackling interesting research problems! |
Nov 2022: | I passed my oral Qualifying Examinations Fall '22! Many thanks to my advisor and my colleagues in my lab and research group for their guidance and support! |
Sep 2022: | I was listed among Teachers Ranked as Excellent for my stint as a TA for CS225 (Introduction to Data Structures and Algorithms with C++). Thank you! |
Jun 2022: | Our patent application on "Graph Reordering and Tiling Techniques", filed along with my amazing colleagues+co-inventors at Intel, Bangalore, got published! [Pub. No. US202/015632A1] |
May 2022: | Attended the ADA Symposium 2022 at University of Michigan, Ann Arbor. |
Apr 2022: | Attended the Grad Cohort - Women workshop organized by Computing Research Association, where I got to interact with peers and leaders in Computer Science Research. |
Aug 2021: | August 4th was my last day at Intel, Bangalore. Thank you for a great learning experience! Also excited to share that I will be joining the University of Illinois, Urbana Champaign later this month to pursue a PhD in Computer Science! |
Jun 2021: | Filed two patents applications with co-inventors at Intel! Pub.Nos.: US2021/0319022A1 and US2021/031832A1 |
Apr 2021: | Presented poster and paper at Intel HSPE Techbuzz '21 (Intel-internal conference), and won best paper in track! Thank you! |
Jan 2021: | Was awarded Prolific Innovator Award (Intel Division Recognition Award) at Intel HSPE TechBuzz Q1 '21. Thank you! |
Dec 2020: | Named as one of the Top 50 Intel India employee volunteers of 2019! Thank you! |
Dec 2019: | Received Intel Departmental Recognition Award for category Spirit of HSPE! Thank you! |
Nov 2019: | Paper on our work on hardware acceleration of ML and CV algorithms got accepted at EAI Endorsed Transactions on Cloud Systems! [Paper] |
Sep 2019: | Presented our paper on "Edge Acceleration of Computer Vision and Deep Learning Algorithms on the Edge using OpenCL" at IEEE WinTechCon 2019, Bangalore! Talk slides can be found here. |
Jun 2019: | Received Intel Departmental Recognition Award for my contributions to setting up demos at Customer Experience Center at Intel Bangalore. Thank you! |
May 2019: | Presented live demonstration of our work on custom accelerators for machine learning algorithms at Intel DTTC 2019 at Portland, OR! |
Apr 2019: | Two papers and a live demo were selected for Intel Design & Test Technology Conference (DTTC) 2019. I will be traveling to Portland, Oregon, to present our demo! |
Jun 2017: | Won 2nd runners' up in Intel India WIN Hackathon on Inclusion Day with our solution to help the visually challenged: NAINA - Alarm Identification and Navigation Aid. Thank you! |
Jun 2017: | Joined Intel as Machine Learning Engineer. |
May 2017: | End of internship at Intel and culmination of my Master's study at NIT Rourkela. My thesis was titled "Real-Time Pedestrian Detection System Using OpenCL-Based FPGA Acceleration". |
May 2016: | Moved to Bangalore and joined Intel as Graduate Technical Intern to conduct research on hardware exploration of compute intensive algorithms |
Jul 2015: | Joined NIT Rourkela for Master's studies, advised by Prof. Bansidhar Majhi |