The MSDS Research Thesis is a rigorous and innovative academic endeavor that allows students to delve deep into specific computer science domains through original research. Students identify research gaps, propose novel solutions, and validate their findings through implementation and experimentation. The thesis process spans two semesters, fostering skills essential for both academic and industrial research. Under the guidance of experienced faculty, students are encouraged to publish their work, contributing to the global research community. More details can be found here.
MSDS Theses from 2024
Machine Learning for disease cluster arrangement of mortality in patients with Diabetes Mellitus admitted to a hospital setting in Karachi, Pakistan, NAMRA AZIZ, Tariq Mahmood, Aysha Almas, Gerald S. Bloomfield, and Zainab Samad
MSDS Theses from 2023
PediatricCare PatternExplorer: A Fuzzy C-Means Based Framework for Mortality Analysis in the Pediatric ICU, Shiza Azam
A Framework of Mortality Prediction of PICU Patients using Ensemble and Deep Learning Methods, Muhammad Amin Ghias
Developing a Predictive System to model Cell Growth in Biopharmaceutical Production, Muhammad Salman Khan
Spatial temporal changes in neighborhoods to predict property prices using street-view images, Wasila Rehman
