Analyzing and Predicting Player Performance in a Quantum Cryptography Serious Game. - Dilanga Abeyrathna; Srikanth Vadla; Vidya Bommanapally; Mahadevan Subramaniam; Parvathi Chundi; Abhishek Parakh (GALA, 2018)

Learning Objects Based Adaptive Textbooks with Dynamic Traversal for Quantum Cryptography. - Vidya Bommanapally; Mahadevan Subramaniam; Abhishek Parakh; Parvathi Chundi; Venkata Meghana Puppala (iTextbooks@AIED, 2020)

Self-supervised Learning Approach to Detect Corrosion Products in Biofilm images. - Vidya Bommanapally; Md Ashaduzzman; Milind Malshe; Parvathi Chundi; Mahadevan Subramaniam (BIBM, 2021)

Using Deep Learning Super-Resolution for Improved Segmentation of SEM Biofilm Images. - Md Ashaduzzman; Vidya Bommanapally; Mahadevan Subramaniam; Parvathi Chundi; Jawahar Kalimuthu; Suvarna Talluri; Ramana Gadhamshetty (BIBM, 2022)

Leveraging Weak annotations for Deep learning tasks on Biofilm Images. - Vidya Bommanapally; Md Ashaduzzman; Mahadevan Subramaniam; Suvarna Talluri; Venkataramana Gadhamshetty (BIBM, 2022)

Self-Supervised Scribble-based Segmentation of Single Cells in Biofilms. - Vidya Bommanapally; Mahadevan Subramaniam; Suvarna Talluri; Venkataramana Gadhamshetty; Juneau Jones (BIBM, 2023)

Machine Learning-Assisted Optical Detection of Multilayer Hexagonal Boron Nitride for Enhanced Characterization and Analysis. - Md Hasanur Rahman 004; Vidya Bommanapally; Dilanga Abeyrathna; Md Ashaduzzman; Manoj Tripathi; Mahzuzah Zahan; Mahadevan Subramaniam; Venkataramana Gadhamshetty (BIBM, 2023)

Embedding a Problem Graph into Serious Games for Efficient Traversal Through Game Space. - Vidya Bommanapally; Mahadevan Subramaniam; Abhishek Parakh (FIE, 2023)

COINS: Counting Cones Using Inpainting Based Self-supervised Learning. - Vidya Bommanapally; Amir Akhavanrezayat; Quan Dong Nguyen; Mahadevan Subramaniam (EMBC, 2024)