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Personal profile

Personal Statement

Doing a PhD in Machine Learning and Wireless Comms in the EEE Department of the University of Strathclyde. I'm interested in exploring the merits of Deep Learning for Automatic Modulation Classification (AMC) and implementing intelligent/reconfigurable receivers using Artificial Neural Networks (ANNs).

I've done a couple internships at the MathWorks as a development intern in the Signal Processing branch, where I worked in the FPGA Prototyping team on improving the SDR build workflow and writing example SDR applications.

External positions

Development Intern, MathWorks Inc

6 Feb 201712 May 2017

Keywords

  • Machine Learning
  • Software Defined Radio
  • Embedded Software
  • FPGA

Fingerprint Dive into the research topics where Shawn Kalade is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Quadrature phase shift keying Engineering & Materials Science
Demodulation Engineering & Materials Science
Learning systems Engineering & Materials Science
Phase shift keying Engineering & Materials Science
Radio systems Engineering & Materials Science
Learning algorithms Engineering & Materials Science
Modulation Engineering & Materials Science
Communication Engineering & Materials Science

Research Output 2018 2018

  • 1 Conference contribution book

Using sequence to sequence learning for digital BPSK and QPSK demodulation

Kalade, S., Crockett, L. & Stewart, R., 30 Apr 2018, (Accepted/In press) IEEE 5G World Forum. Piscataway, NJ: IEEE, 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
Quadrature phase shift keying
Demodulation
Learning systems
Phase shift keying
Radio systems