Musheer
I have been pursuing my PhD research on developing AI chips to accelerate deep learning algorithms (e.g., convolutional neural networks ) with specified hardware since Sep.2021. I got my master's degree in Jun.2021, in which I designed an event-driven pixels readout architecture for accelerating image processing by reducing the dataflow and removing redundancy. The proposed circuit responds to the active pixel and bypasses the passive one on the acquired image. I got experience in digital circuit design for FPGAs and ASIC implementation, C++, Matlab, Cadence tools, Vivado and Quartus Design Suites. As the graduation project for my Bachelor's degree (Sep. 2010 - Jul. 2015), I worked with a team to develop an animated education environment for anatomy teaching based on Augmented Reality technology. I got experience in Python programming, C++, 3D animation and GUI development.
I taught the following courses : Object Oriented Programming (Java), and Data Processing Techniques (Java)
Two years of teaching courses in programming languages and software development (e.g., Programming Fundamentals (C++), Principle of Artificial Intelligence, Database Systems, Data Structure and Algorithms, etc.).
I taught the following courses during 1700 total hours (Approximately): Web Technology I (HTML and CSC) and Web Technology II (PHP and SQL)
My research interest during my Ph.D. study includes Deep Learning Accelerators, Energy-Efficient Deep Learning Algorithms, and Brain-Inspired Neuromorphic Chips.
I got my master's degree in computer science and technology major with an accumulative grade of 87.86% (very good). My research work involved both hardware and software design skills, including Front-end programming (Verilog, C++, Matlab, and Python)
I got my bachelor's degree in 2015 in Information Technology Engineering major with an accumulative grade of 92.13% (Excellent with honors). It was 5 years of extensive courses and related projects based on various programming languages such as Python,
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