Aditya Bettadapura Email and Phone Number

Project: Contextual detection and classification of EEG Epileptiform Transients.Advisor: Dr. Robert J. SchalkoffExploring ways to develop machine learning algorithms to extract and classify contextual information from EEG signal data. It involves feature detection and extraction, pattern recognition and finally machine learning to automate the process.

Performed grading duties for Systems Programming in C and Computer Systems Engineering courses. Responsibilities also included helping undergrads with coding projects, answering their queries and debugging sessions.

- Primarily involved in the development Autosar MCAL drivers for Freescale PowerPC SOCs. Also performed Unit testing on various modules using EUnit testing framework. Worked on C, Shell scripting, GHS, Windriver DIAB, and Codewarrior compilers. - Performed CR Analysis, Reviewed hardware Errata and suggested software workarounds for many issues.- Performed Code analysis using LDRA suite. Revamped the code of various modules to maximize code coverage and maximized compliance to MISRA coding standards. - Automated several build procedures and LDRA testing by writing shell scripts and reduced workload for the entire team.- Worked alongside Freescale Europe and North America divisions to assess and develop feature additions on FLASH, GPT, ICU, and MCU Autosar drivers. - Successfully handled many escalations and addressed critical functionality issues in legacy code by providing Hot-fixes and Patch releases.- Worked on Boot time optimization for IMX35 SOC. Accelerated boot time from 37 seconds to 11 seconds. - Responsible for creating linux board support packages for Freescale IMX27, IMX33, IMX35 and IMX53 applications processors based on customer requirement.- Explored various memory testing algorithms including – Walking Ones, March, Galloping diagonal, and Address test and developed a memory test suite for an Automotive Center Stack Display Unit.