Publications

2025

[1] Sirisha Velampalli, Balancing Innovation and Tradition: Real-Time, Interactive Learning with LightRAG and Dual-Factor PageRank, The International FLAIRS Conference, FLAIRS-38

2023

[1] Sirisha Velampalli, Chandrasekhar Muniyappa (2023). GraphRank Pro+: Advancing Talent Analytics Through Knowledge Graphs and Sentiment-Enhanced Skill Profiling. In Proceedings of the Computing Conference (COMP '24) London, United Kingdom. 

2022

[1] Velampalli, Sirisha, Chandrashekar Muniyappa, and Ashutosh Saxena. "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, no. 2 (2022). 

2021

[1] Prakash, Ved, and Sirisha Velampalli. "Pothole Detection Using Deep Convolutional Neural Network." In Advances in Information and Communication: Proceedings of the 2021 Future of Information and Communication Conference (FICC), Canada, Volume 2, pp. 602-612. Springer International Publishing, 2021. 

[2] Velampalli, Sirisha. "Compressing Graph Data by Leveraging Domain Independent Knowledge." In The International FLAIRS Conference Proceedings, vol. 34. 2021. 

2020

[1] Srilaya, and Sirisha Velampalli. "Cryptography: the key technology for security management." International Journal of Research and Analytical Reviews 7, no. 1 (2020). 

[2] Pamidiparthi, Sandeep, and Sirisha Velampalli. "Cryptographic algorithm identification using deep learning techniques." In Evolution in Computational Intelligence: Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 1, pp. 785-793. Springer Singapore, 2021.

2019 

[1] Sirisha Velampalli, Lenin Mookiah & William Eberle, Discovering Suspicious Patterns Using a Graph Based Approach, The 32nd International Conference of the Florida AI Research Society (FLAIRS), May 19 – 22, 2019, Florida, USA

[2] Velampalli, Sirisha, and Ashutosh Saxena. "A Graph-Based Approach for IP Network Analysis." In Computing and Network Sustainability: Proceedings of IRSCNS 2018, pp. 195-202. Springer Singapore, 2019. 

2018

[1] Sirisha Velampalli, Lenin Mookiah & William Eberle, Discovering Suspicious Patterns Using a Graph-Based Approach, Visual Analytics Science and Technology (VAST), 21-26 October 2018, Berlin, Germany

[2] Sirisha Velampalli, Siddani Bhaskara Rao, Ashutosh Saxena , Proposals of Graph Based Ciphers using Matrix Algebra and Minimum Spanning Trees, National Workshop on Cryptology, September 5-7, 2018, Hyderabad, India.

[3] Srilaya, Sriperumbuduru, and Sirisha Velampalli. "Performance evaluation for DES and AES algorithms-an comprehensive overview." In 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), pp. 1264-1270. IEEE, 2018. 

[4] 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”, 6-7 February, 2020

[5] Sirisha Velampalli, Murthy V Jonnalagedda. Frequent SubGraph Mining Algorithms: Framework, Classification, Analysis, Comparisons. Data Engineering and Intelligent Computing. Springer, Singapore, 2018. 327-336.

2017

[1] Velampalli, Sirisha, and Murthy V. Jonnalagedda. "Graph based knowledge discovery using MapReduce and SUBDUE algorithm." Data & Knowledge Engineering 111 (2017): 103-113. 

[2] Velampalli, Sirisha, and William Eberle. "Novel graph based anomaly detection using background knowledge." In The thirtieth international flairs conference. 2017. 

[3] Velampalli, Sirisha, Lenin Mookiah, and William Eberle. "Detecting Vehicular Patterns Using a Graph-Based Approach." In 2017 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 209-210. IEEE, 2017.

[4] Velampalli, Sirisha, and V. R. Murthy Jonnalagedda. "Minimum Description Length (MDL) Based Graph Analytics." In Proceedings of the First International Conference on Computational Intelligence and Informatics: ICCII 2016, pp. 99-106. Springer Singapore, 2017. 

[5] Velampalli, Sirisha, and VR Murthy Jonnalagedda. "Intelligent Computing for Skill-Set Analytics in a Big Data Framework—A Practical Approach." In Proceedings of the First International Conference on Intelligent Computing and Communication, pp. 267-275. Springer Singapore, 2017. 

2016 

[1] Sirisha Velampalli & William Eberle. Novel Application of MapReduce and Conceptual Graphs. Computational Science and Computational Intelligence (CSCI), 2016, International Conference on. IEEE, 2016. DOI: 10.1109/CSCI.2016.0211, USA

[2] Sirisha Velampalli, Murthy V Jonnalagedda, B.R.Doraswamy Naick, Large Digital Library using Distributed Storage: Hadoop, 2nd National Conference on Librarianship in the Contemporary world in the context of Emerging Technologies, UCEK, JNTUK, Kakinada, 23-24 September, 2016

[3] Sirisha Velampalli, Murthy V Jonnalagedda, Analytics through statistics for computer science curriculum, First A.P. Science Congress, Sri Venkateswara University, Tirupati, January, 21-23 January, 2016

2015

[1] Velampalli, Sirisha. "Learning Analytics for Course Management in Computer Science Curriculum--A Novel Visualization and Summarization Approach." In 2015 IEEE Seventh International Conference on Technology for Education (T4E), pp. 81-82. IEEE, 2015.