Ms. Sumra Khan
Designation
Lecturer
Department
- Faculty of Information Technology, Department of Computer Science
Specialization
Machine Learning and Deep Learning
Qualifications
MS (Computer Science), Bahria University, Karachi
Quick Links
Teaching Experience
Salim Habib University, Karachi, Pakistan
Lecturer, Department of Computer Science
Feb 2023 – Present
Muhammad Ali Jinnah University, Karachi, Pakistan
Lecturer, Department of Computer Science
Mar 2021 – Feb 2023
SSAT Degree College, Karachi, Pakistan
Lecturer Computer Science
May 2016 – Mar 2021
Courses Taught
1, Operating System
2, Programming Fundamentals
3, Object Oriented Programming
4, Artificial Intelligence
Research Interest
1, Learning: Predictive modeling and classification in healthcare.
2, Explainable AI (XAI): Enhancing interpretability in medical image analysis.
3, Clustering Techniques: Density-based algorithm.
4, Healthcare Informatics: Leveraging AI for improved patient outcomes and personalized medicine.
Selected Publications
12/01/2023
Investigating novice developers’ code commenting trends using machine learning techniques
Code comments are considered an efficient way to document the functionality of a particular block of code. Code commenting is a common practice among developers to explain the purpose of the code in order to improve code comprehension and readability.
04/05/2022
Fuzzy density-based clustering for medical diagnosis
Clustering is an effective technique for identifying patterns and structures in labeled and unlabeled datasets in the medical sector. Density-based clustering is a sophisticated machine learning technique for identifying distinctive patterns in large datasets.
12/01/2024
Density peaks clustering based on Gaussian fuzzy neighborhood with noise parameter
Density peak clustering (DPC) is an effective clustering method known for its robustness, non-iterative nature, and hybrid approach. However, it is not without limitations:(a) the determination of the cutoff distance (d c) relies on human experience, which can significantly impact the clustering outcome;
01/06/2024
Survey dataset on mental health in tech professionals from open sourcing mental health surveys
The dataset presented here was created by combining surveys conducted by Open Sourcing Mental Illness, a non-profit organization, from 2017 to 2021. The primary objective of the surveys was to assess the prevalence of mental health concerns among individuals employed in the technology sector and to gauge their attitudes toward mental health in the workplace.
