Archit Bhatnagar

Archit Bhatnagar

CSE PhD at UMich

About Me

I am a first year PhD student in CSE at the University of Michigan advised by Prof. Ang Chen. My research interests lie broadly at the intersection of systems/networking and security.

Prior to this, I was a researcher at National University of Singapore (NUS), where I worked with Prof. Ben Leong on programmable networks & internet fairness. I received my Bachelor's in Computer Science from BITS Pilani, India.

I completed my Bachelor's thesis at Systems & Networking lab at NUS under Prof. Chan Mun Choon.

If you feel interested in knowing more about my work, feel free to checkout my Resume.

News

Publications

P4EAD: Securing the In-band Control Channels on Commodity Programmable Switches.
Archit Bhatnagar*, Xin Zhe Khooi*, Cha Hwan Song, Mun Choon Chan

EuroP4 2023 | *equal contribution

Towards Accelerating the 5G Centralized Unit with Programmable Switches.
Xin Zhe Khooi, Archit Bhatnagar, Satis Kumar Permal, Nishant Budhdev, Cha Hwan Song, Mun Choon Chan

SIGCOMM 2023 (Poster)

Experience

 
 
 
 
 
Nus
Research Assistant
Systems & Networking Lab
Aug 2023 - Present NUS, Singapore
  • Worked on using programmable switches for augmenting scalable in-network fairness and usinf ns-3 for validating the models.
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    Nus
    Research Intern
    Systems & Networking Lab
    Jan - June 2023 NUS, Singapore
  • Worked on securing in-band control channels by implementing authenticated encryption(based on ASCON cipher-suite) on programmable switches.
  • Worked on offloading certain 5G Centralized Unit utilities onto Tofino switches, improving the CU processing latency by 80x. Work published as a SIGCOMM poster.
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    Samsung
    Intern
    Samsung Research Institute
    June 2022 - July 2022 Delhi, India
  • Worked on USB Video Class(UVC) Specifications for webcams, USB cameras and streaming devices.
  • Integrated support for temporary video class formats(H.264) in UVC 1.1 as a part of Device Solutions Grp.
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    LiveSmart
    Research Intern
    LiveSmart(AI-Healthcare Startup)
    Feb 2022 - May 2022 Remote
  • Developed a vision-based model to detect joint mobility problems among seniors using Gait recognition.
  • Reviewed & designed motion characteristics to help detect such mobility problems with a 96% accuracy.
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    CSIR-CEERI
    Research Intern
    CSIR-CEERI
    May 2021 - Jul 2021 Chennai,India (Remote)
  • Implemented Local Binary Patterns (CLBP & MRELBP) using Tensorflow for texture classification.
  • Improved the model accuracy further from 86% to 91% using Bilinear CNNs with AlexNet backbone.

    • Skills

    c
    C/C++
    P4
    P4
    python
    Python
    verilog-logo
    Verilog-HDL
    Tensorflow_logo
    TensorFlow
    matlab
    MATLAB

    Contact

    • architb (at) umich (dot) edu
    • DM Me