Many-objective performance enhancement in computing clusters. - A. S. M. Rizvi; Tarik Reza Toha; Siddhartha Shankar Das; Sriram Chellappan; A. B. M. Alim Al Islam (IPCCC, 2017)

Exploiting a Synergy between Greedy Approach and NSGA for Scheduling in Computing Clusters. - A. S. M. Rizvi; Tarik Reza Toha; Siddhartha Shankar Das; Sriram Chellappan; A. B. M. Alim Al Islam (NSysS, 2018)

Evolutionary algorithm using adaptive fuzzy dominance and reference point for many-objective optimization. - Siddhartha Shankar Das; Md Monirul Islam; Naheed Anjum Arafat (Swarm Evol. Comput., 2019)

V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. - Siddhartha Shankar Das; Edoardo Serra; Mahantesh Halappanavar; Alex Pothen; Ehab Al-Shaer (DSAA, 2021)

VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators. - Siddhartha Shankar Das; Mahantesh Halappanavar; Antonino Tumeo; Edoardo Serra; Alex Pothen; Ehab Al-Shaer (IEEE Big Data, 2022)

AGS-GNN: Attribute-guided Sampling for Graph Neural Networks. - Siddhartha Shankar Das; S. M. Ferdous; Mahantesh M. Halappanavar; Edoardo Serra; Alex Pothen (KDD, 2024)

SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks. - Siddhartha Shankar Das; Naheed Anjum Arafat; Muftiqur Rahman; S. M. Ferdous; Alex Pothen; Mahantesh M. Halappanavar (CoRR, 2025)