Salma Asif
-
Senior Lecturer
- salma.asif@case.edu.pk
Senior Lecturer at Sir Syed CASE Institute of Technology. This profile contains relevant information about the faculty member. For any queries or further information, please feel free to reach out using the contact details provided above. The department is committed to supporting students and visitors with their questions and academic needs.
Ms. Salma Asif is serving as a Senior Lecturer in the Department of Computer Science at Sir Syed CASE Institute of Technology since 2025. She is currently pursuing a Ph.D. in Computer Science at FAST NUCES, Islamabad, where she has worked as a Ph.D. Fellow in the Artificial Intelligence Diagnostic Laboratory. She contributed to the project “Virtual Biopsy for Classification, Outcome Prediction, and Treatment Planning of Brain Tumors (ViCOT)”, carried out in collaboration with Aga Khan University and Hospital, and funded by the HEC Grand Challenge Fund. She also brings industry experience in the healthcare sector and has delivered multiple AI training sessions as an instructor at institutions including Aga Khan University and Hospital, NUST, COMSATS, FAST NUCES, and Innovista. Her research interests span computer vision, medical image processing, natural language processing, artificial intelligence, and deep learning.
Degree
Specialization
University
Year
PhD
Computer Science
FAST NUCES Islamabad
Continue
MS
Computer Science
COMSATS University Islamabad
2019
BS
Computer Science
International Islamic University Islamabad
2014
Designation
Company
From
To
Senior Lecturer
Sir Syed CASE Institute of Technology, Islamabad
September 2025
Present
PhD. Fellow
Artificial Intelligence Lab, FAST NUCES Islamabad
November 2022
30th June 2025
ML Engineer
SLOSH AI Solutions
December 2021
August 2022
Research Scholar
Medical Imaging and Diagnostic Lab, National Center of Artificial Intelligence, COMSATS University Islamabad.
February 2021
August 2021
Senior Computer Teacher
Islamabad Model College for Girls
January 2018
January 2021
Computer Teacher
Islamabad Model School for Girls
September 2014
September 2016
Title
Description
Medical Imaging
Involves developing computational techniques to analyze and interpret medical scans (e.g., MRI, CT) for disease detection, diagnosis, treatment planning, and patient outcome prediction. Generate the medical reports.
Computer Vision
Focuses on enabling machines to interpret and understand visual data from the world, with applications in object detection, image classification, segmentation, and scene understanding.
Deep Learning
Explores neural network–based models to automatically learn complex patterns from large datasets, driving advancements in vision, language, and decision-making tasks.
Natural Language Processing
Deals with designing algorithms that enable computers to understand, interpret, and generate human language, supporting applications such as text analysis, translation, and conversational AI.
Year
Awarding Organization
Description
2022
Coursera
AI For Everyone
2022
Coursera
Natural Language Processing with Classification and Vector Spaces
2022
Coursera
Deep Learning with PyTorch: Image Segmentation
Title
Organization
From
To
N/A
N/A
N/A
N/A
Courses Taught
- N/A
Key Publications (Journals & Books)
Asif, Salma, Ahmad Raza Shahid, Kiran Aftab, and Syed Ather Enam. "Integrating the prior shape knowledge into deep model and feature fusion for topologically effective brain tumor segmentation." IEEE Access (2025).
Aftab, Kiran, Salma Asif, Ansar Rahman, Ummul Wara, Faryal Raees, Ahmad Raza Shahid, Amna Farrukh et al. "AB093. Pixel-wise classification of glioma using deep learning for accurate tumour mapping on magnetic resonance imaging." Chinese Clinical Oncology 13, no. Suppl 1 (2024): AB093-AB093.
Key Publications (Conferences & Workshops)
Asif, Salma, Khadija Ambreen, Hina Iftikhar, Hasan Nasir Khan, Rubab Maroof, and Nadeem Javaid. "Energy management in residential area using genetic and strawberry algorithm." In International conference on network-based information systems, pp. 165-176. Cham: Springer International Publishing, 2017.
Iftikhar, Hina, Salma Asif, Rubab Maroof, Khadija Ambreen, Hasan Nasir Khan, and Nadeem Javaid. "Biogeography based optimization for home energy management in smart grid." In International conference on network-based information systems, pp. 177-190. Cham: Springer International Publishing, 2017.
Khan, Hasan Nasir, Hina Iftikhar, Salma Asif, Rubab Maroof, Khadija Ambreen, and Nadeem Javaid. "Demand side management using strawberry algorithm and bacterial foraging optimization algorithm in smart grid." In International Conference on Network-Based Information Systems, pp. 191-202. Cham: Springer International Publishing, 2017.
Ambreen, Khadija, Rabiya Khalid, Rubab Maroof, Hasan Nasir Khan, Salma Asif, Hina Iftikhar, and Nadeem Javaid. "Implementing critical peak pricing in home energy management using biography based optimization and genetic algorithm in smart grid." In international conference on broadband and wireless computing, communication and applications, pp. 560-569. Cham: Springer International Publishing, 2017.
Maroof, Rubab, Hasan Nasir Khan, Khadija Ambreen, Hina Iftikhar, Salma Asif, and Nadeem Javaid. "Residential Area Power Management Using Genetic Algorithm and Biogeography Based Optimization in Smart Grid." In International Conference on Network-Based Information Systems, pp. 759-769. Cham: Springer International Publishing, 2017.