Preprints

Vo, Chowdhury, Ramanan, Yildirim, and Tutuncuoglu, "Harnessing the Full Potential of RRAMs through Scalable and Distributed In-Memory Computing with Integrated Error Correction", arXiv preprint arXiv:2508.13298 (2025) — Under review at Nature Communications Engineering Link
Ramanan, Islam, and Alugula, "zkSTAR: A zero knowledge system for time series attack detection enforcing regulatory compliance in critical infrastructure networks", arXiv preprint arXiv:2510.23060 (2025) — Under review at IEEE Conference on Security and Privacy 2026 Link
Ramanan, Islam, and Alugula, "Differential Privacy for Regulatory Compliance in Cyberattack Detection on Critical Infrastructure Systems", arXiv preprint arXiv:2508.08190 (2025) — Under review at IEEE Conference on Security and Privacy 2026 Link
Kazemian, Yildirim, and Ramanan, "Attention is All You Need to Optimize Wind Farm Operations and Maintenance", arXiv preprint arXiv:2410.24052 (2024) — Under review at INFORMS Journal on Data Science Link
Kazemian, Yildirim, and Ramanan, "AttenMfg: An Attention Network Based Optimization Framework for Sensor-Driven Operations & Maintenance in Manufacturing Systems", arXiv preprint arXiv:2503.18780 (2025) — Under review at International Journal of Production Economics Link
Kazemian, Ramanan, and Yildirim, "An Automated Data Engineering Pipeline for Time Series Classification Via Text Embeddings", arXiv preprint arXiv:2505.14802 (2025) — Under review at ICLR 2026 Link
Aftabi, Li, and Ramanan, "A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems", arXiv preprint arXiv:2310.06948 (2023) Link

Peer-Reviewed Conference Publications

Vo, Chowdhury, Ramanan, Tutuncuoglu, Yang, Qiu, and Yildirim, "From GPUs to RRAMs: Distributed In-Memory Primal-Dual Hybrid Gradient Method for Solving Large-Scale Linear Optimization Problem", accepted to SIAM Conference on Parallel Processing 2026 (2026), Link
Mohanty, Mohamed, Ramanan, and Gebraeel, "Federated Granger Causality Learning For Interdependent Clients With State Space Representation", International Conference on Representation Learning (ICLR) 2025 (2025), Link
Chowdhury, Vo, Ramanan, Yildirim, and Tutuncuoglu, "The Lynchpin of In-Memory Computing: A Benchmarking Framework for Vector-Matrix Multiplication in RRAMs", IEEE/ACM International Conference on Neuromorphic Computing 2024 (2024), Link
Islam, Vo, and Ramanan, "SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems", 2024 IEEE International Conference on Big Data (BigData) (2024), Link
Li, Ramanan, Gebraeel, and Paynabar, "Deep learning based covert attack identification for industrial control systems", 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) (2020), Link
Glusa, Boman, Chow, Rajamanickam, and Ramanan, "Asynchronous one-level and two-level domain decomposition solvers", Domain Decomposition Methods in Science and Engineering XXV 25 (2020), Link
Ramanan and Nakayama, "BAFFLE : Blockchain based Aggregator Free Federated Learning", IEEE International Conference on Blockchain, 2020 (2020), Link
Ramanan, Yildirim, Chow, and Gebraeel, "Asynchronous decentralized framework for unit commitment in power systems", International Conference on Computer Science 2017, Procedia Computer Science (2017), Link
Kamath, Song, Ramanan, Shi, and Yang, "Dristi: Distributed real-time in-situ seismic tomographic imaging", 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM) (2015), Link
Kamath, Ramanan, and Song, "Distributed randomized Kaczmarz and applications to seismic imaging in sensor network", 2015 International Conference on Distributed Computing in Sensor Systems (2015), Link
Ramanan, Kamath, and Song, "NetTomo: A tomographic approach towards network diagnosis", 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM) (2015), Link
Ramanan, Gaikwad, and Vidyadharan, "Achieving connectivity in an Unstructured Wireless Sensor Network using Optimal Assignment of Mobile Nodes", (l), Link

Journal Publications

Patents