Ammara Nasim
Last updated on May 12th, 2022

PERSONAL INFORMATION
Name Ammara Nasim
Email ammaranaseem.buic@bahria.edu.pk
Phone +92-51-9260002 Ext: 358
Research Area Digital Signal Processing

Communication Systems

Bio-medical Image Processing

Number of Publications 8
AFFILIATIONS
Designation Assistant Professor
Department Department of Electrical Engineering
University Bahria University Islamabad Campus
QUALIFICATION
DEGREE PASSING YEAR MAJORS UNIVERSITY
PhD. (Computer Engineering)  In Progress CEME,NUST, Islamabad
MS (Electrical Engineering)  2016  Telecommunication & Signal Processing CASE, UET Taxila
Bachelor of Electrical Engineering  2012  Electronics NUST
TEACHING EXPERIENCE
DESIGNATION FROM TO ORGANIZATION
Lecturer Jan 17 Present Bahria University Islamabad
Lab Engineer Jan 14 Jan 17 Bahria University Islamabad
Visiting Lab Engineer Feb 13 Dec 13 Bahria University Islamabad
Research Assistant Sep 12 June 13 NUST School of Electrical Engineering and Computer Sciences
PUBLICATIONS
Journal Publication:

  1. Samina Khalid, M. Usman Akram, Taimur Hassan, Ammara Nasim, Amina Jameel, (2017) “Fully automated robust system to detect retinal edema, central serous chorioretinopathy and age-related macular degeneration from optical coherence tomography images”, BioMedResearch International, ISI Indexed, [Impact Factor: 2.476]
  2. Imran Fareed Nizami, Muhammad Majid, Mobeen ur Rehman, Syed Muhammad Anwar, Ammara Nasim & Khawar Khurshid (2020), “No-reference image quality assessment using bag-of-features with feature selection”,Multimedia Tools and Applications ISI Indexed, [Impact Factor: 2.1]

Conference Publications:

  1. Ammara Nasim and Maryam Khalid “Analysis of Pipelined Fast Fourier Transform Processor Through Signal-to-Noise Ratio and delay characteristics” accepted in CSCE 2020.
  2. Fawad Hussain Naqvi, Salahuddin Ayubi, Ammara Nasim, Zeeshan Zafar, “Automated Gland Segmentation Leading to Cancer Detection for Colorectal Biopsy Images, Future of Information and Communication Conference (FICC) 2019,San Francisco USA.
  3. Abdul Wahab Arif, Ammara Nasim, Adeel M Syed and Taimur Hassan “Automated diagnosis of retinal Edema from optical coherence tomography images” CSCI ,2017, Las Vegas, USA.
  4. Mobeen-ur-Rahman, Farrukh Javed Gill, Ammara Nasim and Imran Farid Nizami “Mitosisdetection in breast cancer by inference of segmentation and bag of features”, CSCI ,2017, Las Vegas, USA.
  5. Ammara Nasim, Taimur Hassan, M. Usman Akram, Bilal Hassan, Muhammad Ali Shami “Automated identification colorectal gland sparsity from benign images “International Conference on Image Processing, Computer Vision and Pattern Recognition”,2017, Las Vegas, USA.
  6. Taimur Hassan, Sidra Ghafoor and Ammara Nasim, “Fully automated identification of heart sounds for the analysis of cardiovascular pathology”, Future 5V, Islamabad, Pakistan.
  7. Taimur Hassan, M. Usman Akram, Bilal Hassan, Ammara Nasim, Shafaat Ahmed Bazaz (2015), “Review of OCT and Fundus images for detecting Macular Edema”. IEEE 12th International Conference on Imaging Systems and Techniques. Macau China.
  8. Ammara Nasim, Muhammad Qamar, Kashif Rajpoot (2014), “Contrast 3D Echocardiographic Segmentation by image inversion”. INMIC 2014, Bahria University, Karachi Pakistan.
  9. Ammara Nasim, Aisha Gul Hafeez, Kashif Rajpoot, Muhammad Shahzad (2013), “Investigating 3D Echocardiography Image Fusion for Improving Image Quality”, IC4, PNEC, Karachi.

F.Y.P Supervised/ Co-supervised

  • Automated identification and grading of colorectal cancer through biopsy images
  • Automated identification of heart sounds from PCG signals (Co-supervisor)
  • Mitosis detection in breast cancer pathology images (Co-supervisor)
  • Observer based advertisement (Co-supervisor)

Courses Taught

  • Communication Systems
  • Digital Logic Design
  • Object Oriented Programming
  • Linear Control Systems
  • Mobile Communication Lab.
  • Computing Fundamentals (C++) Lab.
  • Object Oriented Programming Lab.
  • Signals and Systems
  • Digital Logic Design
  • Digital Signal Processing
  • Communication Systems