3 papers
cs.DC2025
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…
cs.LG2025
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…
math.OC2024
Sensor-Driven Predictive Vehicle Maintenance and Routing Problem with Time Windows
Iman Kazemian, Bahar Cavdar, Murat Yildirim
Advancements in sensor technology offer significant insights into vehicle conditions, unlocking new venues to enhance fleet operations. While current vehicle health management mode…