A Deep Learning Framework for Time-Series Processing-Microstructure-Property Prediction. - Yuwei Mao; Mahmudul Hasan 016; Claire Songhyun Lee; Muhammed Nur Talha Kilic; Vishu Gupta; Wei-Keng Liao; Alok N. Choudhary; Pinar Acar; Ankit Agrawal 001 (ICMLA, 2023)

Enhancing Deep Neural Network Classification Performance Through Novel Weight Initialization: t-SNE Supported Walsh Matrix Approach. - Muhammed Nur Talha Kilic; Vishu Gupta; Yuwei Mao; Kewei Wang 002; Alec Peltekian; Alok N. Choudhary; Wei-keng Liao; Ankit Agrawal 001 (ICMLA, 2024)

Tackling the Nonlinearity Problem in Inverse Modeling: Mixture Density Network-Backed Quantized AutoEncoder. - Muhammed Nur Talha Kilic; Yuwei Mao; Vishu Gupta; Alok N. Choudhary; Wei-keng Liao; Ankit Agrawal 001 (ICMLA, 2024)

Deep Learning Based Inverse Modeling for Materials Design: From Microstructure and Property to Processing. - Kewei Wang 002; Yuwei Mao; Mahmudul Hasan 016; Md Maruf Billah; Muhammed Nur Talha Kilic; Vishu Gupta; Wei-Keng Liao; Alok N. Choudhary; Pinar Acar; Ankit Agrawal 001 (ICMLA, 2024)

Simultaneously improving accuracy and computational cost under parametric constraints in materials property prediction tasks. - Vishu Gupta; Youjia Li; Alec Peltekian; Muhammed Nur Talha Kilic; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (J. Cheminformatics, 2024)

Towards Space Group Determination from EBSD Patterns: The Role of Deep Learning and High-throughput Dynamical Simulations. - Alfred Yan; Muhammed Nur Talha Kilic; Gert Nolze; Ankit Agrawal 001; Alok N. Choudhary; Roberto dos Reis; Vinayak P. Dravid (CoRR, 2025)