Brief Profile

Experienced Assistant Professor specializing in Computer Science with expertise in Cloud Computing and Machine Learning. Skilled in R, Microsoft Azure, and AWS. Passionate about creating engaging learning experiences through active-learning strategies and educational tools. Strong background in curriculum development, online teaching, and student evaluation. Throughout my career, I have taught a diverse range of courses, including Object-Oriented Programming Language, Microcontroller using Arduino, Web Development, Interface Design using CSS, Web Programming using PHP, and Cloud Computing. I have a proven track record of effectively communicating course objectives, employing active-learning techniques, and evaluating student progress. In addition to my teaching roles, I have contributed to the field through my research endeavors. I have published papers in reputable journals, including Cluster Computing, Concurrent Engineering: Research and Applications, Journal of Parallel and Distributed Computing, Modern Physics Letters B, and Expert Systems. My research focuses on prediction-based resource scheduling techniques, flood prediction in cloud environments, and intelligent heart disease prediction in the cloud. I am deeply committed to staying updated with the latest advancements in computer science. I actively participate in professional meetings, conferences, and workshops to enhance my knowledge and expand my network. I am constantly seeking new opportunities to apply my expertise in computer science education and research. Let's connect to explore collaborations in the areas of computer science, cloud computing, and machine learning.