Toggle navigation
Distributed Intelligent Systems Laboratory
Home
Team
News
Research
Publications
Preprints
Reed, Ahmed, Ghasemi, Jiang, and Ramanan, "Decentralized Operations of Decarbonized Chemical Plants with Renewable-driven Transmission Systems",
arXiv preprint arXiv:2606.22973
(2026) —
Under review at Electrical Power Systems Research
Link
Shahid, Ramanan, Fili, Hu, and Haim, "CoSMeTIC: Zero-Knowledge Computational Sparse Merkle Trees with Inclusion-Exclusion Proofs for Clinical Research",
arXiv preprint arXiv:2601.12136
(2026) —
Under review at ACM Transactions on Privacy and Security
Link
Ramanan, Yamana, 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 Transactions on Dependable and Secure Computing
Link
Yamana, Ramanan, Islam, and Alugula, "PRECISE: Private Regulatory Compliance for Cyberattack Detection on Critical Infrastructure Systems",
arXiv preprint arXiv:2508.08190
(2025) —
Under review at ACM Transactions on Privacy and Security
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 IEEE Transactions on Automation Science
Link
Peer-Reviewed Conference Publications
Aftabi, Li, and Ramanan, "PINPOINT: A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems",
IEEE International Conference on Machine Learning Applications (ICMLA)
(2026),
Link
Rane, Ramanan, Ramesh, and Deep, "Learning to Learn in Manufacturing: Bayesian Meta-Learning for Design Transferability",
54th SME North American Manufacturing Research Conference
(2026),
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",
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
Vo, Chowdhury, Ramanan, Yildirim, and Tutuncuoglu, "Harnessing the Full Potential of RRAMs through Scalable and Distributed In-Memory Computing with Integrated Error Correction",
Nature Communications Engineering
(2026),
Link
Kazemian, Yildirim, and Ramanan, "Attention is All You Need to Optimize Wind Farm Operations and Maintenance",
INFORMS Journal on Data Science (Special Issue: Dual Edge of AI)
(2026),
Link
Kazemian, Yildirim, and Ramanan, "AttenMfg: An Attention Network Based Optimization Framework for Sensor-Driven Operations & Maintenance in Manufacturing Systems",
International Journal of Production Economics
(2026),
Link
Altinpulluk, Altinpulluk, Ramanan, Paulson, Qiu, Babinec, and Yildirim, "Catalyzing deep decarbonization with federated battery diagnosis and prognosis for better data management in energy storage systems",
Cell Reports Physical Science
(2024),
Link
Ramanan, Yildirim, Gebraeel, and Chow, "Differentially Private Decentralized Generator Maintenance and Operations for Power Networks",
IEEE Transactions on Control of Network Systems
(2022),
Link
Ramanan, Li, and Gebraeel, "Blockchain-based decentralized replay attack detection for large-scale power systems",
IEEE Transactions on Systems, Man, and Cybernetics: Systems
(2021),
Link
Ramanan, Yildirim, Gebraeel, and Chow, "Large-scale maintenance and unit commitment: A decentralized subgradient approach",
IEEE Transactions on Power Systems
(2021),
Link
Ramanan, Yildirim, Chow, and Gebraeel, "An asynchronous, decentralized solution framework for the large scale unit commitment problem",
IEEE Transactions on Power Systems
(2019),
Link
Ramanan, Kamath, and Song, "Indigo: an in situ distributed gossip framework for sensor networks",
International Journal of Distributed Sensor Networks
(2015),
Link
Patents
Paritosh P. and Nagi Z., "Blockchain-based decentralized computing",
(2022),
Link