Hi! I am Bakshree Mishra and I am a 2nd 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.
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.
| 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|