News

[Sep '22] I have started my full time position as a R&D Signal Processing and Machine Learning Engineer at Myant.

[Aug '22] I was a co-organizer and instructor at the 3-day workshop titled "Modulation Spectrum Signal Processing: Applications in Speech, Biomedical, and Cybersecurity" organized by INRS-EMT in collaboration with Federal University of Pernambuco, Recife, Brazil.

[Jun '22] Our paper detailing the recent innovations in modulation spectrum for wearable device analysis titled "Modulation Spectral Signal Representation for Quality Measurement and Enhancement of Wearable Device Data: A Technical Note" has been published in Sensors and is now available here.

[May '22] I received my graduate degree at INRS convocation. Luckily the ceremony was in person and I was able to attend!

[May '22] I was part of the jury for poster presentations at the 8th Annual Perform Center Research Conference, 2022.

[Oct '21] I presented the challenge objective for the HackMedTech Challenge held by Ryerson University. The event had universities from all over Canada participating including McGill University, University of British Columbia to name a few. I was also involved in mentoring the students during the challenge and was on the final decision making jury.

[Nov '21] I have started working on a new collaboration with McGill University and Dr. Jonathan Afilalo on development of frailty detection algorithms using AI and 12-lead ECG signals.

[Sep '21] I have moved to Toronto for the full time post-doctoral internship at Myant Inc

[Aug '21] I started my postdoctoral internship at Myant related to smart textiles and AI.

[July '21] I successfully defended my Ph.D. thesis titled "Physiological Features for Mental State Monitoring in Real Life Conditions ". The video of the thesis presentation can be found here.

[May '21] Our paper titled "Human Mental State Monitoring in the Wild: Are We Better Off with Deeper Neural Networks or Improved Input Features?" [video] was nominated for the best paper award.

[Oct '20] I received the IEEE Brain Prize (1st place) at the BR4IN.IO hackathon at 2020 IEEE Systems Man & Cybernetics conference. Our team proposed a novel pipeline using modulation spectrum features for optimizing motor imagery prediction in stroke patients in less than 24 hours! Our winning presentation can be found here.