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Fozia Hameed
2006-2008
Master of Science: Computer Science
81.20%, CGPA - 3.52/4
Sep 2011- Ongoing
Lecturer
King Khalid University, Saudi Arabia
CS subjects -Graduate Students
Feb 2010-April 2011
Lecturer
Islamabad Model College for Girls, F-6/2, Pakistan
Taught C, C++, Data Bases, Software Engineering, Networks, Object oriented Programming Languages To undergraduate Students
Lecturer
Global College of Sciences
Taught Computer Scince to Intermediate level
Aug -Dec 2008
EXPERIENCE
Intern
Elixir Technologies,Islamabad
Developed several scripts on Rational Robot
Jul-Sep 2006
EXPERIENCE
2021
•State of the Art in Neural Networks and their Applications, Academic Press, 2021
Nazia Hameed, Antesar Shabut, Fozia Hameed, Silvia Cirstea, Alamgir Hossain, Chapter 7 - Achievements of neural network in skin lesions classification, Editor(s): Ayman S. El-Baz, Jasjit S. Suri, , Pages 133-151, ISBN 9780128197400.
2019
•International Conference on Computing, Electronics & Communications Engineering (iCCECE), London, United Kingdom, 2019
N. Hameed, A. Shabut, F. Hameed, S. Cirestea and A. Hossain, "An Intelligent Inflammatory Skin Lesions Classification Scheme for Mobile Devices," , pp. 83-88
PUBLICATIONS
2019
•Computers 2019
Hameed, N.; Hameed, F.; Shabut, A.; Khan, S.; Cirstea, S.; Hossain, A. An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions. , 8, 62.
2010
IEEE Second International Conference on Computational Intelligence, Modelling and Simulation,2010
Gulam Kassem, Imran Ahmed, Fozia Hameed, Asif Zakariya,” TCP Variants: An Overview”,
PUBLICATIONS
IMPROVING POSE ESTIMATION FOR THE DETECTION OF STROKE
Objective 1: Develop a novel pose-estimation model to approximate the location of obscured landmarks.
RESEARCH
Objective 2: Refine the developed model to find a minimal solution that maintains sufficient model performance whilst minimising the computational cost.
Objective 3: Use the model to identify symptoms of stroke during standard neurological examinations; namely impaired upper limb coordination and unilateral weakness in the upper limbs.