Mahboob Khan Mohammed
Male
College Station, TX, United States
Graduate Teaching Assistant Texas A&M University
Texas A&M University-Kingsville Corpus Christi, Texas Area
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Points
30
Problem solved
3
Solutions submitted
30
Contest Rating
Education
Texas A&M University-Kingsville
Master of Science (MS) , Electrical and Electronics Engineering
Texas A&M University
Work experience
Graduate Teaching Assistant
Texas A&M University , Texas, United States
Feb 2016 - May 2017 - (1 year and 4 months)
• Conduct 4 hours per week of Lab instruction for undergrad students.
• Aid in reviewing exams, term papers, and grading assignment.
• Assist in research for development and improvement of Kalman filter algorithm through IEEE papers.
• Troubleshoot, debug and resolve errors while performing Lab projects on HSC12 microprocessor’s development board (Aka Dragon junior).
Teaching Assistant
Texas A&M University
Projects
Noise cancellation using Machine Learning
Jan 2017 - Apr 2017 - (4 months)
An RLS is a machine learning algorithm, best for applications like Active noise cancellation. In this project, RLS Algorithm chip is designed on TMS320C6713 DSK board for noise cancellation.
Skills
Python
matlab
Publications
System Identification using adaptive filter with recursive least square algorithm (Machine Learning)
13 Mar, 2017
In this research, the Recursive Least Squares(RLS) algorithm is implemented on TMS320C6713 DSK (DSP Starter Kit) with an adaptive filter to identify an unknown system. An RLS Algorithm is a machine learning algorithm which finds out best minima based on the mean square error (MSE).
Publisher: American Society of Engineering Education - Gulf Southwest, Annual Conference 2017