Ahana Roy Choudhury, Ph.D.
Assistant Professor of Computer Science
- College of Science & Mathematics
Department of Computer Science & Engineering Technology
Education:
- Ph.D. in Computer Science, Florida State University (2021)
- M.S. in Computer Science, Florida State University (2018)
- B. Tech in Computer Science and Engineering, West Bengal University of Technology, West Bengal, India (2013)
Teaching Interests:
- Functional Programming in various languages (C, Java, & Python)
- Discrete Structures
- Senior year capstone projects involving AI-based classification project
- AI, ML, & Computer Vision
Research Interests:
- Artificial Intelligence & Machine Learning
- Computer Vision
- Medical Imaging
Recent Publications:
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Ahana Roy Choudhury, Radu Paul Mihail, Sorin Dan Chiriac: Using Ultra-Sound Images and a Multi-Task, Explainable Approach for Thyroid Cancer Detection. - BIBE 2024: 1-8
- Ahana Roy Choudhury, Krishnapriya Kottakkal Sugathan, Chase E Vaughan, Radu P Mihail: How do Low-Level Image Features affect CNN-Based Face Detector Accuracy? – IEEE SMC 2023
- Ahana Roy Choudhury, Radu Paul Mihail, Sorin Dan Chiriac: Prediction of Thyroid Malignancy using Contextual semantic Interpretability from Sonograms – BIOIMAGING 2023: 94 – 101
- Ahana Roy Choudhury, Praveen Palanisamy, Bimal Mehta, Balinder Malhi: Self-Localization of a Drone using Multi-Modal Data and Deep Neural Networks - The Twenty-Seventh International Symposium on Artificial Life and Robotics 2022 (AROB 27th 2022
- Ahana Roy Choudhury, Sachin R. Jambawalikar, Piyush Kumar, Venkata Sumanth Reddy Bommireddy: Distortion Removal and Deblurring of Single-Shot DWI MRI Scans - International Workshop on Machine Learning for Medical Image Reconstruction, P 65-75, Springer 2021