M A U Shariff is a highly accomplished and dedicated Computer Science scholar currently pursuing a Ph.D. at the University of Nebraska–Lincoln. With a stellar academic record, having achieved a perfect GPA of 4.0, Shariff has specialized in cutting-edge fields like AI, Machine Learning, Deep Learning, Computer Vision, Quantum Computing, and the Design & Analysis of Algorithms. His educational journey began at Port City International University in Chattogram, Bangladesh, where he earned a Bachelor’s degree in Computer Science & Engineering, graduating with an impressive GPA of 3.99. Shariff’s thesis on “Bangladeshi Regional Dialects Identification using a Novel GLDNN Hybrid Model” underscores their innovative approach to solving complex problems and their commitment to advancing technology for societal benefit.

In addition to his academic pursuits, Shariff has gained significant professional experience as a Graduate Teaching Assistant and Graduate Research Assistant at the University of Nebraska–Lincoln, where he teaches Data Structures and Algorithms and engage in research on networking architectures under the guidance of Dr. Byrav Ramamurthy. His previous roles include working as a Teacher Consultant and Coding Instructor for CODINGAL in Bengaluru, where he enhanced students’ problem-solving skills, and as an Assistant Programmer at Arena Web Security in Dhaka, focusing on software development and technical specifications. Shariff’s contributions to the field are further highlighted by their published research, including a paper on predicting air quality index using deep learning, which has garnered 40 citations to date. His diverse technical skill set encompasses programming languages like C, Java, and Python, as well as frameworks such as React and Node, making them a versatile and impactful member of the computer science community.