34 citations · 67 across the 22 of their papers we have counts for
7 papers · 1 filter
Decarbonization of Steam Cracking for Clean Olefins Production: Optimal Microgrid Scheduling
Saba Ghasemi Naraghi, Tylee Kareck, Lingyun Xiao +3
Ethylene is one of the most ubiquitous chemicals and is predominantly produced through steam cracking. However, steam cracking is highly energy- and carbon-intensive, making its de…
zkSTAR: A zero knowledge system for time series attack detection enforcing regulatory compliance in critical infrastructure networks
Paritosh Ramanan, Sathwik Yamana, H. M. Mohaimanul Islam +1
Industrial control systems (ICS) form the operational backbone of critical infrastructure networks (CIN) such as power grids, water supply systems, and gas pipelines. As cyber thre…
From GPUs to RRAMs: Distributed In-Memory Primal-Dual Hybrid Gradient Method for Solving Large-Scale Linear Optimization Problem
Huynh Q. N. Vo, Md Tawsif Rahman Chowdhury, Paritosh Ramanan +4
The exponential growth of computational workloads is surpassing the capabilities of conventional architectures, which are constrained by fundamental limits. In-memory computing (IM…
Harnessing the Full Potential of RRAMs through Scalable and Distributed In-Memory Computing with Integrated Error Correction
Huynh Q. N. Vo, Md Tawsif Rahman Chowdhury, Paritosh Ramanan +2
Exponential growth in global computing demand is exacerbated due to the higher-energy requirements of conventional architectures, primarily due to energy-intensive data movement. I…
PRECISE: Private Regulatory Compliance for Cyberattack Detection on Critical Infrastructure Systems
Sathwik Yamana, Paritosh Ramanan, H. M. Mohaimanul Islam +1
Industrial control systems are a fundamental component of critical infrastructure networks (CIN) such as gas, water, and power. With the growing risk of cyberattacks, regulatory co…
Text embedding models can be great data engineers
Iman Kazemian, Paritosh Ramanan, Murat Yildirim
Data engineering pipelines are essential - albeit costly - components of predictive analytics frameworks requiring significant engineering time and domain expertise for carrying ou…