Publications

1. Shivin Srivastava, Jussi Keppo, Ek Hong Lim, Pan Jieming, Aaron Thean. “AI-Driven Optimization Framework for Next-Generation Semiconductor Manufacturing: From Digital Twins to Self-Optimizing Process.” AI4X 2025, Singapore

1. Shivin Srivastava, and Vaibhav Rajan. "ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units." IEEE Journal of Biomedical and Health Informatics, 2023.

1. Shivin Srivastava and Vaibhav Rajan. " A Deep Learning Model for Risk Prediction and Subtyping with Temporal Clinical Data." Workshop on Information Technologies and Systems, 2022.

1. Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, and Vaibhav Rajan. "Clustering Aware Classification for Risk Prediction and Subtyping in Clinical Data." Journal of Biomedical Informatics, 2024. Under Review

1. Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, and Bryan Hooi. "Memstream: Memory-based streaming anomaly detection." Proceedings of the ACM Web Conference 2022, 2022, pp. 610-621.

1. Poonam Goyal, Jagat Sesh Challa, Shivin Shrivastava, and Navneet Goyal. "Anytime frequent itemset mining of transactional data streams." Big Data Research, vol. 21, 2020, p. 100146.

1. Shivin Srivastava, and Ashutosh Bhatia. "On the learning capabilities of recurrent neural networks: A cryptographic perspective." 2018 IEEE International Conference on Big Knowledge (ICBK), 2018, pp. 162-167.

1. Poonam Goyal, Jagat Sesh Challa, Shivin Shrivastava, and Navneet Goyal. "AnyFI: An anytime frequent itemset mining algorithm for data streams." 2017 IEEE International Conference on Big Data (Big Data), 2017, pp. 942-947.

1. Harsh Sinha, Shivin Srivastava, and Yash Sinha. "Studying the Role of Kinect as a Multi-Sensory Learning Platform for Children." Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018, pp. 251-254.

1. Shivin Srivastava. "Extracting Addresses from Unstructured Text Using Bi-directional Recurrent Neural Networks." 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018, pp. 1511-1513.

1. Lavika Goel, Nilay Jain, and Shivin Srivastava. "A novel PSO based algorithm to find initial seeds for the k-means clustering algorithm." Proceedings of the international conference on communication and computing systems ICCCS, 2016, vol. 2016, pp. 159-163, 2017.