Degree | Discipline | Year | School |
---|---|---|---|
Postdoc | Computer Science | 2022 | HARVARD UNIVERSITY | Cambridge, MA, USA |
PhD | Computer Science (Dean's Distinguished Fellowship) | 2021 | UNIVERSITY OF CALIFORNIA, RIVERSIDE (UCR) | Riverside, CA, USA |
M.Tech | Advanced Electronics Systems (Quick Hire Fellowship, CSIR) | 2014 | CSIR – CENTRAL ELECTRONICS ENGINEERING RESEARCH INSTITUTE (CSIR-CEERI) | Pilani, India | |
B.Tech | Electronics and Telecommunications Engineering (University Topper) | 2012 | VEER SURENDRA SAI UNIVERSITY OF TECHNOLOGY (VSSUT, FORMERLY UCE) | BURLA, India |
Dr. Devashree Tripathy is an Assistant Professor in Computer Science and Engineering at Indian Institute of Technology, Bhubaneswar. Her research spans in Computer Architecture , High Performance Computing, Fault-Tolerance systems, performance and power-efficient designs for accelerators, and Machine Learning. Her current research focuses on ML for Systems and Systems for ML. Prior to joining IIT Bhubaneswar, Dr. Tripathy was a Postdoctoral Fellow in Computer Science at Harvard University in Harvard Architecture, Circuits, and Compilers Group. She is currently working as an Associate with Harvard University. She graduated from University of California, Riverside with PhD in Computer Science.
At IIT Bhubaneswar:
IITBBS-PG-CS6L009 - High Performance Computer Architecture (Spring 2023)
At Harvard University, USA:
Harvard-PG-CS249r - Tiny Machine Learning : Applied Machine Learning on Embedded IoT Devices (Fall 2022)
At University of California, USA:
UCR-UG-CS005 - Introduction To Computer Programming (Fall 2019)
UCR-PG-CS203 - Advanced Computer Architecture (Winter 2018, Winter 2019)
UCR-PG-CS213 - Multiprocessor Architecture and Programming (Spring 2018, Winter 2020)
At CSIR-CEERI Pilani, India:
CEERI-PG-2-219 - Advanced Signal and Image Processing (2014)
Subhra Jyotshna Dash (January 2023 - Present)
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