Sajid Mahmud

According to our database, Sajid Mahmud authored at least 4 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

HalluMat: Detecting Hallucinations in LLM-Generated Materials Science Content Through Multi-Stage Verification.

Bhanu Prakash Vangala, Sajid Mahmud, Pawan Neupane, Joel Selvaraj, Jianlin Cheng

CoRR, December, 2025

2022

Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data Challenge.

Sajid Mahmud, Elham Soltanikazemi, Frimpong Boadu, Ashwin Dhakal, Jianlin Cheng

CoRR, 2022

Multi-head attention-based U-Nets for predicting protein domain boundaries using 1D sequence features and 2D distance maps.

Sajid Mahmud, Zhiye Guo, Farhan Quadir, Jian Liu, Jianlin Cheng

BMC Bioinform., 2022

2021

High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function.

Mu Gao, Peik Lund-Andersen, Alex Morehead, Sajid Mahmud, Chen Chen, Xiao Chen, Nabin Giri, Raj S. Roy, Farhan Quadir, T. Chad Effler, Ryan Prout, Subil Abraham, Wael R. Elwasif, Nicholas Quentin Haas, Jeffrey Skolnick, Jianlin Cheng, Ada Sedova

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021