Anam Mustaqeem

Work place: Department of Software Engineering, UET Taxila



Research Interests: Software, Software Organization and Properties, Image Processing, Medical Image Computing


Engr. Anam Mustaqeem, is MSc Scholar in Department of Software Engineering at University of Engineering and Technology Taxila. She completed her Bachelor’s degree in Software Engineering from University of Engineering and Technology Taxila in 2010. She has done extraordinary work in her four years degree of engineering. She is currently working on multimedia transmission over vehicular adhoc networks (VANETs). Her areas of interest are digital image processing, Medical Imaging, Software Quality Assurance, Wireless Networks and Adhoc Networks. She is trying hard to bring innovation in above mentioned fields.

Author Articles
Comparative Analysis of AODV and DSDV Performance in Vanets using NS-2

By Anam Mustaqeem Nadeem Majeed Muazzam Maqsood

DOI:, Pub. Date: 8 Jun. 2013

Vehicular ad-hoc networks (VANETs) form when vehicles are equipped with devices capable of short-range wireless communication. Vehicular Ad hoc networks involve motion of nodes depending on the mobility model chosen. Three important considerations in simulation of VANETs are mobility models, network simulator and the routing protocols. Selection of appropriate mobility model for evaluating routing protocol leads to efficient simulation results. Performance of routing protocols in VANETs can be measured using four metrics; bandwidth, packet loss, throughput and scalability. This research work is based on the simulation based analysis of Vehicular Ad- hoc networks using NS-2 as the network simulator. Performance evaluation of the protocols is conducted on the basis of four defined metrics and as conclusion is made according to the simulation results.

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Improvement in Quality of Software Architecture via Enhanced-Pattern Driven Architecture (EPDA)

By Muhammad Fahad Khan Kanwal Yousaf Anam Mustaqeem Muazaam Maqsood

DOI:, Pub. Date: 8 Nov. 2012

No doubt software plays an important role in improvement of our lives. Great demand of software makes software architecture more complex. Flaws in any software have direct impact on diverse fields of life (such as business, science, engineering etc). The main reason of any software failure is due to poor software architecture or quality attributes. This paper focuses on factors that affect the quality of software architectures and highlighted the major reason of the defects through questionnaire and survey. In the light of this survey a technique is proposed to improve the quality of any software architecture. The proposed architecture is Enhanced-Pattern driven architecture (EPDA). This architecture focuses on the improvement of design phase in any architecture. This will also help in resolving lots of problems which arise due to usage of different traditional architectural styles.

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An Efficient Brain Tumor Detection Algorithm Using Watershed & Thresholding Based Segmentation

By Anam Mustaqeem Engr Ali Javed Tehseen Fatima

DOI:, Pub. Date: 28 Sep. 2012

During past few years, brain tumor segmentation in magnetic resonance imaging (MRI) has become an emergent research area in the field of medical imaging system. Brain tumor detection helps in finding the exact size and location of tumor. An efficient algorithm is proposed in this paper for tumor detection based on segmentation and morphological operators. Firstly quality of scanned image is enhanced and then morphological operators are applied to detect the tumor in the scanned image.

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