Publications
Journal Articles, Conference Papers & Invited Tutorials: 2015–2026
Publications
Journal Articles, Conference Papers & Invited Tutorials: 2015–2026
2026
Velampalli, S., & Gamidi, R. Explainable Hierarchical Graph Neural Networks for Structured Decision Modeling. FLAIRS-39. DOI: 10.32473/flairs.39.1.141615
KN, G., Velampalli, S., & Badri, P. R. (2026). When One Model Is Not Enough: Twin Training for Prioritized Decisions. The International FLAIRS Conference Proceedings, 39(1). https://doi.org/10.32473/flairs.39.1.141616
2025
Velampalli, S. LLM-Assisted Automatic Feature Extraction for Document Understanding and Analytics. Invited Tutorial, 25th ACM Symposium on Document Engineering (DocEng 2025), University of Nottingham, UK.
Muniyappa, C., & Velampalli, S. Context-Based Fake News Detection Using a Graph-Based Approach: A COVID-19 Use-Case. CSAIDE '25, pp. 717–722. DOI: 10.1145/3729706.3729819
Velampalli, S. Balancing Innovation and Tradition: Real-Time, Interactive Learning with LightRAG and Dual-Factor PageRank. FLAIRS-38.
2024
Velampalli, S., & Muniyappa, C. GraphRank Pro+: Advancing Talent Analytics Through Knowledge Graphs and Sentiment-Enhanced Skill Profiling. Computing Conference (COMP '24), London, UK.
2022
Velampalli, S., Muniyappa, C., & Saxena, A. Performance evaluation of sentiment analysis on text and emoji data using end-to-end, transfer learning, distributed and explainable AI models. Journal of Advances in Information Technology, 13(2).
2021
Prakash, V., & Velampalli, S. Pothole Detection Using Deep Convolutional Neural Network. FICC 2021, Vol. 2, pp. 602–612. Springer.
Velampalli, S. Compressing Graph Data by Leveraging Domain Independent Knowledge. The International FLAIRS Conference, Vol. 34.
Pamidiparthi, S., & Velampalli, S. Cryptographic Algorithm Identification Using Deep Learning Techniques. FICTA 2020, Vol. 1, pp. 785–793. Springer.
2020
Srilaya, & Velampalli, S. Cryptography: The Key Technology for Security Management. International Journal of Research and Analytical Reviews, 7(1).
Velampalli, S. Scaling Minimum Description Length (MDL) Encoding to Graphs in a Big Data Framework Using MapReduce. Prof. C R Rao Birth Centenary Conference on Statistics and Applications.
2019
Velampalli, S., Mookiah, L., & Eberle, W. Discovering Suspicious Patterns Using a Graph Based Approach. FLAIRS-32, Florida, USA.
Velampalli, S., & Saxena, A. A Graph-Based Approach for IP Network Analysis. IRSCNS 2018, pp. 195–202. Springer.
2018
Velampalli, S., Mookiah, L., & Eberle, W. Discovering Suspicious Patterns Using a Graph-Based Approach. IEEE VAST 2018, Berlin, Germany.
Velampalli, S., Rao, S. B., & Saxena, A. Proposals of Graph Based Ciphers using Matrix Algebra and Minimum Spanning Trees. National Workshop on Cryptology, Hyderabad.
Srilaya, S., & Velampalli, S. Performance Evaluation for DES and AES Algorithms — A Comprehensive Overview. IEEE RTEICT 2018, pp. 1264–1270.
Velampalli, S., & Jonnalagedda, M. V. Frequent SubGraph Mining Algorithms: Framework, Classification, Analysis, Comparisons. Data Engineering and Intelligent Computing, pp. 327–336. Springer.
2017
Velampalli, S., & Jonnalagedda, M. V. Graph based knowledge discovery using MapReduce and SUBDUE algorithm. Data & Knowledge Engineering, 111, 103–113.
Velampalli, S., & Eberle, W. Novel Graph Based Anomaly Detection Using Background Knowledge. FLAIRS-30.
Velampalli, S., Mookiah, L., & Eberle, W. Detecting Vehicular Patterns Using a Graph-Based Approach. IEEE VAST 2017, pp. 209–210.
Velampalli, S., & Jonnalagedda, V. R. M. Minimum Description Length (MDL) Based Graph Analytics. ICCII 2016, pp. 99–106. Springer.
Velampalli, S., & Jonnalagedda, V. R. M. Intelligent Computing for Skill-Set Analytics in a Big Data Framework — A Practical Approach. ICIC 2016, pp. 267–275. Springer.
2016
Velampalli, S., & Eberle, W. Novel Application of MapReduce and Conceptual Graphs. IEEE CSCI 2016, USA. DOI: 10.1109/CSCI.2016.0211
Velampalli, S., Jonnalagedda, M. V., & Naick, B. R. D. Large Digital Library using Distributed Storage: Hadoop. 2nd National Conference on Librarianship, JNTUK Kakinada.
Velampalli, S., & Jonnalagedda, M. V. Analytics through Statistics for Computer Science Curriculum. First A.P. Science Congress, SVU Tirupati.
2015
Velampalli, S. Learning Analytics for Course Management in Computer Science Curriculum — A Novel Visualization and Summarization Approach. IEEE T4E 2015, pp. 81–82.