Digital Image Processing and Pattern Recognition – Strong understanding of algorithms, image analysis techniques, and pattern classification methods.

Machine Learning and Deep Learning – Skilled in applying modern ML/DL models to real-world problems with a solid grasp of theoretical foundations.

Demonstrated proficiency in teaching foundational courses such as Computer Organization, Discrete Mathematical Structures, Business Analytics, Probability and Statistics, and Queuing Theory.

Experienced in delivering core Computer Science subjects including Data Structures, Object-Oriented Programming with Java, Web Technologies, Cloud Computing, and Virtualization, with an emphasis on conceptual clarity and practical application.