Curriculum Vitae

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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


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


Computer Science 373: Programming a Robotic Car