Siddhartha Shankar Das
About me:
I am a Ph.D. student in the Department of Computer Science at Purdue University. I received my Master's and Bachelor's degrees from the Department of Computer Science (CSE) at the Bangladesh University of Engineering and Technology (BUET). I started my career as a Lecturer at BUET in 2014. I am currently on study leave from the position.
Email address: das90@purdue.edu, siddhartha047@gmail.com
Google Scholar: https://scholar.google.com/citations?user=kTAFl2yYe6QC&hl=en
Research Interests
My interests lie broadly in Machine Learning and Graph Algorithms. I am particularly interested in Graph Neural Networks (GNN) and deep Learning and their relevant problems. My earlier works were on Evolutionary Computation and Many-Objective Optimization.
Awards and News Media
Notable Publications
Siddhartha Shankar Das, S M Ferdous, M. Halappanavar, E. Serra, and A. Pothen. 2024. AGS-GNN: Attribute-guided Sampling for Graph Neural Networks. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’24), August 25–29, 2024, Barcelona, Spain. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3637528.3671940
Siddhartha Shankar Das, E. Serra, M. Halappanavar, A. Pothen and E. Al-Shaer,“V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities,” 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), pp. 1-12, https://doi.org/10.1109/DSAA53316.2021.9564227 [Best Paper]
Siddhartha Shankar Das, A. Dutta, S. Purohit, E. Serra, M. Halappanavar, and A. Pothen, “Towards automatic mapping of vulnerabilities to attack patterns using large language models.” 2022 IEEE International Symposium on Technologies for Homeland Security (HST). IEEE, 2022. https://doi.org/10.1109/HST56032.2022.10025459 [Best paper]
Siddhartha Shankar Das, M. Halappanavar, A. Tumeo, E. Serra, A. Pothen, and E. Al-Shaer. “VWC-BERT: Scaling vulnerability–weakness–exploit mapping on modern AI accelerators.” In 2022 IEEE International Conference on Big Data (Big Data), pp. 1224-1229. IEEE, 2022. https://doi.org/10.1109/BigData55660.2022.10020622
K. Panchal, Siddhartha Shankar Das, L. Torre, J. Miller, R. Rallo, and M. Halappanavar. “Efficient Clustering of Software Vulnerabilities using Self Organizing Map (SOM).” In 2022 IEEE International Symposium on Technologies for Homeland Security (HST), pp. 1-7. IEEE, 2022. https://doi.org/10.1109/HST56032.2022.10025443
Das, Siddhartha Shankar, Md Monirul Islam, and Naheed Anjum Arafat. "Evolutionary algorithm using adaptive fuzzy dominance and reference point for many-objective optimization." Swarm and evolutionary computation 44 (2019): 1092-1107. https://doi.org/10.1016/j.swevo.2018.11.003
Rizvi, Asm, Tarik Reza Toha, Siddhartha Shankar Das, Sriram Chellappan, and ABM Alim Al Islam. "Many-objective performance enhancement in computing clusters." In 2017 IEEE 36th International Performance Computing and Communications Conference (IPCCC), pp. 1-2. IEEE, 2017. https://doi.org/10.1109/PCCC.2017.8280491
sm Rizvi, A., Tarik Reza Toha, Siddhartha Shankar Das, Sriram Chellappan, and ABM Alim Al Islam. "Exploiting a Synergy between Greedy Approach and NSGA for Scheduling in Computing Clusters." In 2018 5th International Conference on Networking, Systems and Security (NSysS), pp. 1-8. IEEE, 2018. https://doi.org/10.1109/NSysS.2018.8631376
Research Projects
Scaling GNN:
Edge Disjoint Graph Sampling for Graph Neural Networks (GNN)
Feature-based Spectral Sampling for Graph Neural Network (GNN})
Scalable Graph Sparsification based on feature diversity
Supervised Graph Construction, Regular/Balanced Graph Construction, Graph Neural Network
A Many-objective Evolutionary Approach Using Fuzzy Dominance With Bidirectional Bias
Siddhartha Shankar Das, Monirul Islam, Naheed Anjum Arafat
[pdf][code]
Submitted as Undergraduate Thesis
A Grid Based Many-Objective Evolutionary Algorithm using Fuzzy Fitness
Siddhartha Shankar Das, Naheed Anjum Arafat, Monirul Islam
[pdf][code]
Best poster award: 3rd in 2nd undergraduate thesis poster presentation, 2014 (out of 53 submissions)
Implementation of document image Segmentation algorithm for handwritten OCR
Siddhartha Shankar Das
[presentation][code]
Advanced Image Processing Course, 2016
A short survey on Near-Duplicate Video detection and retrievalSiddhartha Shankar Das
[presentation][pdf]
High Dimensional Data management Course, 2016
Analysis of Advertisement fraudulent activities (click fraud, impression fraud etc)
based on our implementation of a large-scale Advertisement service system, that loads millions of ads daily into different news portal of Bangladesh (prothom alo, bdnews, bangla tribune, bikroy )
[code] Siddhartha Shankar Das, Azad Salam
[report]
Details of other projects can be found here
Current and recent collaborators: Mahantesh Halapanavar, Proteek Chandan Roy (Michigan State University), Sriram Cheppallan (University of South Florida)