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Ammara Naseem
Assistant Professor ^ Computer Vision%
Designation(s): Assistant Professor
Department(s): Computer Science, AI Enabling Technologies Research Center
Research Interests: Artificial intelligence, computer vision, image analysis, and signal processing.
Email: ammaranaseem.buic@bahria.edu.pk
Contact: +92 (051) 111 111 028
Ammara Nasim received her B.S. degree in Electrical Engineering from the National University of Sciences and Technology (NUST), Pakistan, and her M.S. degree in Electrical Engineering from the University of Engineering and Technology (UET), Taxila, with a specialization in signal and image processing. She is currently in the final stages of her Ph.D. in Computer Engineering, with a research focus on artificial intelligence and computer vision.
From 2012 to 2013, she worked as a Research Assistant at NUST, contributing to research on 3D echocardiographic image fusion. In 2013, she joined the Department of Electrical Engineering at Bahria University as a Laboratory Engineer. After completing her M.S., she rejoined the department as a Lecturer in 2017 and was promoted to Assistant Professor in 2021.
She has authored 17 research publications, including journal and conference papers, and has presented her work at several international forums. Her earlier research addressed colorectal cancer detection using artificial intelligence. Her current work focuses on automated threat detection in baggage X-ray imagery, utilizing transformer-based architectures, self-supervised learning, and knowledge distillation.
Her research interests include artificial intelligence, computer vision, image analysis, and signal processing.
Projects
- Automated OCT and VKG Report Generation Tool (under review)Funding: PKR 6.6 Million – AFIO Rawalpindi
- 3D Bioprinting for Skin Disease Detection – In collaboration with Rehman Medical Institute
- Timetable Scheduler with Variable Constraints – Deployed project with RMI
- Smart Surveillance & Facial Recognition Systems – Anomaly and emotion detection using AI
- FICS Platform Contribution – Evaluation and mentorship of national-level innovative tech projects
Punlications
- Ammara Nasim, Mahboob Anwar, Muhammad Owais, Samet Akcay, Divya Velayudhan, Muhammad Usman Akram, Mohammed Ghazal, Naoufel Werghi, Taimur Hassan, “Regressor Driven Incremental Instance Segmentation for Contraband Items Identification” Engineering Applications of AI ISI Indexed, [Impact Factor: 7.5]
- Ammara Nasim, Saad Mazhar Khan, Anum Abdus Salam, Arslan Shaukat, Taimur Hassan, Adeel M. Syed, And Muhammad Usman Akram, “Class and Data-Incremental Learning Framework for Baggage Threat Segmentation via Knowledge Distillation” IEEE access. ISI Indexed, [Impact Factor: 3.4]
- 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]
- 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]
Conference Publications:
- Ammara Nasim, Muhammad Usman Akram, Muhammad Belal Afsar khan ,Asad Mansoor Khan and Taimur Hassan , “A Cross-Domain Threat Screening and Localization Framework Using Vision Transformers and
Self-supervised Learning” in IEEE ICPR 2024, London, UK.
- Ammara Nasim , Zawar Khan , Taimur Hassan , Soyiba Jawed , Muhammad Usman Akram , Jahan Zeb “A Cross-domain Vision Transformer Based Framework for Baggage Threat Classification” in IEEE, ICCAE ,2024, Melbourne Australia.
- Ammara Nasim, Divya Velayudhan, Abdelfatah Hassan Ahmed, Taimur Hassan, Samet Akcay, Muhammad Usman Akram, Naoufel Werghi “Incremental Instance Segmentation for Cluttered Baggage Threat Detection”,in IEEE CIVEMSA,2023, Gammarth, Tunisia.
- Saad Mazhar Khan, Muhammad Usman Akram, Anum Abdul Salam, Ammara Nasim, A Robust Semantic Segmentation Framework for Baggage Threat Detection in ICETECC ,2025,Jamshoro, Pakistan.
- Aitzaz Saleem, Ammara Nasim, Maheen Khalid, Hassan Kazmi, “Development of EMD-based framework for modelling the effects of chiropractic care” IBCAST 2023, Pakistan.
- 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.
- 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.
- 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.
- 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.
- Taimur Hassan, Sidra Ghafoor and Ammara Nasim, “Fully automated identification of heart sounds for the analysis of cardiovascular pathology”, Future 5V, Islamabad, Pakistan.
- 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.
- Ammara Nasim, Muhammad Qamar, Kashif Rajpoot (2014), “Contrast 3D Echocardiographic Segmentation by image inversion”. INMIC 2014, Bahria University, Karachi Pakistan.
- Ammara Nasim, Aisha Gul Hafeez, Kashif Rajpoot, Muhammad Shahzad (2013), “Investigating 3D Echocardiography Image Fusion for Improving Image Quality”, IC4, PNEC, Karachi.
Publications
Journal Publications
[j10]
Yasmeen, U., Khan, M, A., Tariq, U., Khan, J, A., Asfand-E- Yar, M. (2022). Citrus Diseases Recognition Using Deep Improved Genetic Algorithm (CMC Tech Science), 3667-3684.
[j09]
Hussain, N., Khan, M, A., Tariq, U., Kadry, S., Asfandeyar, M., (2022). Multiclass Cucumber Leaf Diseases Recognition Using Best Feature Selection (CMC Tech Science), 3281-3294.
[j08]
Majid, A., Khan, M, A., Alhaisoni, M., Asfandeyar, M. (2022). An Integrated Deep Learning Framework for Fruits Diseases Classification (CMC Tech Science), 1387-1402.
[j07]
Asfand-e-yar, M., Ali, R. (2020). Semantic Integration of Heterogeneous Databases of same Domain using Ontology (IEEE Access), 77903-77919.
[j06]
Asfand-e-yar, M., Ali, R., Mushtaq, S. (2020). Semantic Classification of Business Ontology while Migrating Business (Multimedia tools and Appilcation-SPRINGER), 17903–17921.
[j05]
Henna, S., Sajeel, M., Bahir, F., Asfand-e-yar, M., Tauqir, M. (2017). A Fair Contention Access Scheme for Low-Priority Traffic in Wireless Body Area Networks (MDPI Sensors) 1- 21.
[j04]
Lodhi, M, A., Khan, M, M., Rahman, A., Asfand-e-yar, M., Bahir, F. (2017). Transient Multipath routing protocol for low power and lossy networks (KSII Transactions on IIS), 2000-2019.
[j03]
Zafar, R., Asfand-e-yar, M. (2016). Scheduling on Heterogeneous Multi-core Processors Using Stable Matching Algorithm (IJACSA), 505-509.
[j02]
Asfand-e-yar, M., Anjomshoaa, A., Weippl, E, R., Toja, A, M. (2010). Exploiting Ontology for Software License Agreements (IJSI) 89-100.
[j01]
Asfand-e-yar, M., Sher, M. (2004). Secure rout path Formation in Ad hoc On-demand Distance Vector Routing Protocol (ITJ), 142-145.
Conference Proceedings
[c10]
Rustum, I., Asfandeyar, M. (2022, April). An Ontology Model Approach for Cloud Service Level Agreement (SLAs), International Conference on Business Analytics for Technology and Security, (pp. 1-5). IEEE
[c09]
Tauseef, H., Asfand-e-yar, M. (2021, September). Extractive summarization of text using Supervised and Unsupervised techniques, International Conference on Natural Language Processing, (pp. 37-41), IEEE.
[c08]
Multani, M, K., Rahman, A., Asfand-e-yar, M., (2017, April). Partially Online Dynamic Bandwidth Allocation Algorithm for Hybrid TDM/WDM EPON, International conference on Smart Technologies, (pp. 902-906), IEEE.
[c07]
Paha, R., Asfand-e-yar, M. (2016, March). A Review of Cross-Platform binary compatibility using Dynamic Binary Translation, Proceedings of 1st National Conference on Emerging Trends and Innovations in Computing & Technology.
[c06]
Asfandeyar, M., Kucera, A., Pitner, T. (2014, February). Smart Buildings: Semantic Web Technology for Building Information Model and Building Management System, International conference on Data and Software Engineering (pp. 1-6). IEEE
[c05]
Asfandeyar, M., Kucera, A., Pitner, T. (2014, February). Smart Buildings: Semantic Web Technology (Location and Device Information); services for BIM, Proceedings of European IST Projects, The Quest for Excellence Towards 2020 (pp. 78-89). SCITEPRESS.
[c04]
Asfandeyar, M., Kucera, A., Pitner, T. (2014, February). Semantic Web Technology for Building Information Model, 9th International Conference on Software Engineering and Applications – Enterprise Applications (pp. 109-116). SCITEPRESS.
[c03]
Asfandeyar, M., Toja, A, M. (2013, March). Using Semantic Web to Enhance User understand-ability for Online Shopping License Agreement, International Conference on Information, Computing and Technology -EurAsia (pp. 233-242), LNCS Springer Verlag.
[c02]
Ahmad, M., Asfandeyar, M., Anjomshoaa, A., Khan, A., Toja, A, M. (2010, September). Towards an Ontology-Based Solution for Managing License Agreement Using Semantic Desktop, 5th International Conference on Availability, Reliability and Security (pp. 309-314), IEEE.