Computational Signal Processing

Ever wondered how Apple’s approach to computing is different from Samsung? Or how images, videos and game graphics are rendered? Or even how to effectively leverage Machine Learning and Deep Learning and where it would feature in solving a signal processing problem? Well this seminar has the answers!

SPIRAL’s first event on Computational Signal Processing will allow you to bridge the gap between the abstract Signal Processing concepts you have learnt so far and the practical ways in which you can use these methods in conjunction with advanced computational techniques like Machine Learning and Deep Learning. This seminar is the ideal place for you to get an idea of what this entails with live practical demonstrations of all the concepts you have learnt so far covering all aspects of data from analog to digital and beyond.

Speaker: 
Aaron Celestine Prakash (VIII Semester ECE)
9 years as a Music Creator
7 years working on Audio System Design and Speaker Box Design (2 systems designed)
Conducted the seminar on Audio Signal Processing and Audio System Design (Nov 2022)

Ongoing journal publication in the field of audio signal processing
Research intern in the Centre for Robotics, Automation and Intelligent Systems working on signal processing for cochlear implant patients