About Me

I am a Researcher at National University of Singapore(NUS) working under the guidance of Prof. Ben Leong. I recently completed my Bachelor's in Computer Science from BITS Pilani, India. Most recently, I have been working on using Programmable switches for Network security, Fairness(& Congestion Control) and 5G network offloading.

Previously, I was a research intern at Systems & Networking lab at NUS under Prof. Chan Mun Choon. I have also been affiliated to AI/ML Lab BITS, Pilani under the supervision of Dr. Kamlesh Tiwari where I worked on some industry-sponsored research projects.

If you feel interested in knowing more about my work, please download my Resume.

Interests
  • Systems & Networking
Education

  • B.E. Computer Science, 2023

    Birla Institute of Technology and Science, Pilani

Skills

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

Experience

 
 
 
 
 
Nus
Research Assistant
Systems & Networking Lab
Aug 2023 - Present NUS, Singapore
  • Working on using programmable switches for augmenting scalable in-network fairness and usinf ns-3 for validating the models.
    •  
     
     
     
     
    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.
    •  
     
     
     
     
    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.
    •  
     
     
     
     
    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.
    •  
     
     
     
     
    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.

    • Publications

    SIGCOMM 2023 (Poster) 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

    Contact