Moumita Kamal

Moumita Kamal is a PhD student at Tennessee Technological University (TTU) specializing in Computer Science with a focus on Data Science.2 Here are some key details about her:

Academic Background

Moumita is currently pursuing her doctoral degree at TTU, where she is engaged in research activities as a Student Researcher.2 Her research interests include Machine Learning, Cybersecurity, and Malware Analysis and Detection.3

Research and Publications

Kamal has been involved in academic research and has published work in her field. She co-authored a paper titled "Beyond Size and Accuracy: The Impact of Model Compression on Fairness" which was presented at the International FLAIRS Conference.1 This research explored how different methods of model compression affect the fairness and bias of machine learning models.4

Skills and Expertise

• Strong programming skills in Java, Python, and C++2
• Excellent communication abilities2
• Experience in data science and machine learning techniques3
• Knowledge of cybersecurity and malware analysis3

Teaching Experience

Moumita has also gained teaching experience at TTU. She has been listed as an instructor for computer science courses, indicating her involvement in academic instruction alongside her research pursuits.5

Professional Presence

Kamal maintains a professional presence on platforms like LinkedIn, where she shares updates about her work and engages with the tech community.6 Her involvement in various aspects of computer science, from research to teaching, demonstrates her commitment to the field and her ongoing professional development as a student researcher at Tennessee Technological University.