Mahsa Azarshab

Ph.D. student in Computer Science at the University at Albany (SUNY), with a Bachelor's degree in Electrical Engineering (Telecommunications) and a Master's in Industrial Engineering (Macro Systems). Experienced in data mining, machine learning, deep learning, and noisy label learning. Proven background as a Teaching Assistant and Research Assistant, demonstrating strong analytical skills and dedication to advancing computational research.

Introduction to Data Science in Python, 2022, University of Michigan, Coursera

• 2019, Ranked 32nd among approximately 8,000 participants in nation-wide entrance exam of M.Sc. Studies in Industrial Engineering (Economic and Social Systems branch), Iran.
• 2022, Ranked 2nd among 31 graduated students in M.Sc., Iran University of Science and Technology, Iran.
• 2022, Offered Straight admission to the Ph.D. program as an exceptional talent by Iran University of Science and Technology, Iran.

• Date of Birth: 09/30/93
• Gender: Female
• Nationality: Iranian

1. Reject Inference as a Noisy Label Detection and Counterfactual Correction Task.

2. Research Hotspots and Global Mapping of Publications in the Role of Artificial Intelligence in Cancer: A Bibliometric Study.

3. The AI Diagnostician: Improving Medical Diagnosis with Artificial Intelligence.

4. An enhanced Teaching-Learning-Based Optimization (TLBO) with Grey Wolf Optimizer (GWO) for text feature selection and clustering, Under Submission.

5. Meta-analysis Research Hotspots and Global Mapping of Publications in the Role of Artificial Intelligence in Cancer: A Bibliometric Study.

6. An Intelligent Fuzzy Logic Based Traffic Controller.

• Artificial Intelligence
• Data Science
• Machine Learning
• Deep Learning