CV

Education

• B.Tech in Electronics and Communication Engineering, SRM Institute of Science and Technology, 2016 - Now
• 12th Grade (Computer Science), Arsha Vidya Mandir, 2014 - 2016

Work experience

• Fall 2019: Research Intern
  • Healthcare Technology Innovation Centre
  • Duties included: Conducting research on the applications of Machine Learning to Physiological signals
  • Supervisor: Mr. Preejith SP
• Summer 2018 - Summer 2020: Undergraduate Research Assistant
  • Solarillion Foundation
  • Duties included: Pursuing Research in Embedded Systems and Machine Learning
  • Supervisor: Mr. Vineeth Vijayaraghavan

Skills

• Programming Languages:
  • Python
  • Arduino
  • Embedded C
  • Matlab
  • Verilog
  • VHDL
• Domains:
  • Machine Learning
  • Deep Learning
  • Embedded Systems
  • Signal Processing

Publications

Low-Cost Wearable Gesture Recognition System with Minimal User Calibration for ASL

S. S. Ahmed, H. Gokul, P. Suresh and V. Vijayaraghavan, "Low-Cost Wearable Gesture Recognition System with Minimal User Calibration for ASL," 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Atlanta, GA, USA, 2019, pp. 1080-1087.

Gait Recovery System for Parkinson’s Disease using Machine Learning on Embedded Platforms

Robust Modelling of Reflectance Pulse Oximetry for SpO2 Estimation

End-to-End Deep Learning for Reliable Cardiac Activity Monitoring using Seismocardiograms

WaDeNet: Wavelet Decomposition based CNN for Speech Processing