Ms. Robina Rasid
Ms. Robina Rasid, a dedicated Lecturer, brings a wealth of expertise and passion to the academic landscape. Her primary focus lies in the realms of Project Management, Requirements Analysis, and Data Science. As an educator, Ms. Robina imparts her knowledge in courses such as Software Engineering, Software Project Management, and Database Systems. With a commitment to nurturing the next generation of professionals, she blends theoretical concepts with practical insights, equipping her students with the skills needed to thrive in the dynamic field of software development and project management. Ms. Robina Rasid stands as a guiding force, inspiring her students to excel in their academic pursuits and fostering a deep appreciation for the intricacies of software engineering.
Performance analysis of peer-to-peer overlay architectures for Mobile Ad hoc Networks, in Proceedings of IEEE 5th International Conference on Emerging Technologies · Oct 1, 2009A survey of Branch Prediction Methodologies in Proceedings of Fast Annual Graduate Workshop Apr 1, 2009Power Aware Compilation –A Survey Un-published · Jan 1, 2010
An automated System for Brain Tumor Detection from MR Images, Poster in MedInfo, by IMCC international council on medical & care compunetics · Jan 1, 2010Classification and Segmentation of Brain Tumor using Texture Analysis in proceedings of ACM Indexed WSEAS conference, University of Cambridge, UK · Feb 1, 2010Wavelets Based Facial Expression Recognition Using a Bank of Neural Networks in proceedings of IEEE Indexed FutureTech, Busan (Korea) · May 1, 2010Texture Analysis Based Facial Expression Recognition Using a Bank of Bayesian Classifiers in proceedings of IEEE indexed ICIET · Jun 1, 2010Wavelets Based Facial Expression Recognition Using a Bank of Support Vector Machines, In [SC-SI] Bio-inspired computing for Hybrid Information Technology Journal, Impact Factor 1.328 · Jan 1, 2011
Digital Image Processing, Artificial Intelligence, Machine Learning, Emotion Recognition, Medical Image Processing