LinkedIn Profile
A short resume
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Open in new tab Courses Taken:
University of Rochester
| Computer Science | Engineering |
| CSC 446: Machine Learning CSC 448: Statistical Speech & Lang. Proc. CSC 576: Modern Approach to Big Data |
ECE 440: Introduction to Random Process ECE 446: Digital Signal Processing ECE 492: Network Science in Big Data Era |
The University of Memphis
| Mathematics | Computer Science | Engineering |
| Intro to Statistical Theory Linear Algebra Inference Theory Multivariate Statistical Methods Intro to Real Analysis 1 Bayesian Inference |
Topics in Data Mining Human Computer Interaction Cognitive Science Seminar Algorithms/Problem Solving |
Random Signals & Noise Multimedia Info Proc. Pattern Recognition Image Processing Digital Signal Processing Prolog/Intelligent Syst. Information Theory + project/thesis/dissertation credits |
Undergrad Level
Basic Electrical Engineering, Electrical Circuits, Analog Electronics, Digital Electronics, Electromagnetic Field Theory, Electrical Machines, Electrical Measurements and Instrumentation, Communication Engineering, Electrical Power Transmission and Distribution, Electrical Engineering Materials, Control System Engineering, Power System Engineering, Power and Industrial Electronics, Switchgear and Protection, Microwave Engineering, Microprocessor and Microcomputer, Advanced Microprocessor and Microcomputer
Also,
Various Engineering Mathematics, Programming, Numerical Methods, and other Introductory Engineering (Civil, Mechanical) Courses
Massive Open Online Courseware (MOOC): Coursera
Computer Vision – The Fundamentals
Image and video processing: From Mars to Hollywood with a stop at the hospital
Udacity