Econometric and Regression Analysis
Time Period:
Conducted econometric and regression analysis on a demographic dataset to investigate the effect of gender on academic performance.
Posts by Collection
learnjourneys
portfolio
Clustering, Association, and Frequent Pattern Mining
Time Period:
Wrote a detailed report on data analysis of a drug consumption-related dataset, focusing on factors affecting drug consumption in Connecticut, USA.
Sentiment Analysis on Audio Recordings
Time Period:
Identification and extraction of features followed by a mathematical background of some popular machine learning methods and their performance evaluation.
Course Project on ISS Tracking and Velocity Measurement
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Using real-time captured instances and tools like Tracker and ImageJ, the velocity of ISS was predicted.
Course Group Project on Arrhythmia Detection through ECG
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Implemented software capable of detecting different arrhythmia types through ECG data.
Panel Data and Tobit Analysis on Health Care Dataset
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Using a german healthcare dataset which is of panel data nature, we explored the research question What are the factors that determine the number of recent doctor or hospital visits of an individual?
Reinforcement Learning Algorithms on Tic-Tac-Toe
Time Period:
This project, part of CS 6314: Dynamic Programming and Reinforcement Learning, aimed to train an agent capable of playing various forms of Tic-Tac-Toe, including 2D and 3D versions.
CS 5302: Generative AI for Natural Language and Speech Processing
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This project, part of CS 5302: Generative AI for Natural Language and Speech Processing, an application that can interpret, translate, and vocalize spoken language in real-time, and is specifically catered for patient-doctor conversations
publications
Digital Literacy App Development
Built a Digital Literacy app using shiny framework in R under the supervision of Dr.Ihsan Ayub Qazi
Recommended citation: Ayesha Ali, Agha Ali Raza, Ihsan Ayyub Qazi. (2023). "Validated digital literacy measures for populations with low levels of internet experiences." Development Engineering. 8(2023). https://www.sciencedirect.com/science/article/pii/S2352728523000015
Mathematical Inequalities with Applications to Data Science
Worked on a semester long project on compiling detailed, concise notes on prominent mathematical inequalities and their applications to fields of data science, information theory etc under the supervision of Dr.Hassan Mohy-Ud-Din
Unrolled Optimization & Matrix Completion
Worked on Model Based Deep Learning under the supervision of Dr.Muhammad Tahir
Theory and Practice of Diffusion Models in Medical Imaging and Inverse Problems
Collaborating with Dr. Hassan Mohy-ud-Din to explore the theoretical and practical applications of diffusion models in medical imaging and inverse problems. This ongoing research encompasses an extensive survey of recent advancements and methodologies to tackle complex challenges in medical contexts.
Interpretable and Controllable Diffusion Models for Signal Processing and Semantic Correspondence
Research project focused on developing interpretable and controllable diffusion models with applications to signal processing and semantic correspondence, under the guidance of Dr. Muhammad Tahir.
talks
Talk 1 on Relevant Topic in Your Field
Time Period:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Time Period:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Assitantship
Undergraduate Course: ECON 221 - Intermediate Macroeconomics, Department of Economics, 2022
TA of Professor Usman Elahi
Capacity Building and Training on Data Management & Analysis Using STATA.
Workshop, Hotel One, Mall Road, 2022
Conducting a 5-day per week STATA workshop for government statistical officers.
Teaching Assitantship
Graduate/MPhil Course: EDUX 562: Data Lab, School of Education, 2023
TA of Professor Ahmad Ayub
Teaching Assitantship
Graduate Course: CS 535/EE 514: Machine Learning, School of Science and Engineering, 2024
TA of Professor Momin Ayub Uppal
Teaching Assistantship
MS Course: ACTA 6304: Advanced Machine Learning, Suleman Dawood School of Business, 2024
TA of Professor Momin Ayub Uppal