activity
20152026
most citedA DICOM Framework for Machine Learning Pipelines against Real-Time Radiology Images

23 citations · 27 across the 8 of their papers we have counts for

collaborators

11 papers

physics.optics2026

Electromagnetic Field of an Oscillating Point Charge Measured by a Transversely Comoving Observer

Ruben Canora, Shengwang Du

We investigate the electromagnetic field produced by a harmonically oscillating point charge and measured by a spatially separated observer undergoing the same motion. We evaluate…

cs.DC2020

Latency-Sensitive Web Service Workflows: A Case for a Software-Defined Internet

Pradeeban Kathiravelu, Peter Van Roy, Luís Veiga +1

The Internet, at large, remains under the control of service providers and autonomous systems. The Internet of Things (IoT) and edge computing provide an increasing demand and pote…

eess.IV2020★ 23 cited

A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology Images

Pradeeban Kathiravelu, Puneet Sharma, Ashish Sharma +7

Executing machine learning (ML) pipelines in real-time on radiology images is hard due to the limited computing resources in clinical environments and the lack of efficient data tr…

cs.DB2019

Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources

Pradeeban Kathiravelu, Yusuf Nadir Saghar, Tushar Aggarwal +1

The diversity of data management systems affords developers the luxury of building systems with heterogeneous systems that address needs that are unique to the data. It allows one…

cs.DB2018★ 1 cited

On-Demand Big Data Integration: A Hybrid ETL Approach for Reproducible Scientific Research

Pradeeban Kathiravelu, Ashish Sharma, Helena Galhardas +2

Scientific research requires access, analysis, and sharing of data that is distributed across various heterogeneous data sources at the scale of the Internet. An eager ETL process…

cs.NI2017

SD-CPS: Taming the Challenges of Cyber-Physical Systems with a Software-Defined Approach

Pradeeban Kathiravelu, Luís Veiga

Cyber-Physical Systems (CPS) revolutionize various application domains with integration and interoperability of networking, computing systems, and mechanical devices. Due to its sc…

cs.DC2016★ 2 cited

An Elastic Middleware Platform for Concurrent and Distributed Cloud and MapReduce Simulations

Pradeeban Kathiravelu

Cloud Computing researches involve a tremendous amount of entities such as users, applications, and virtual machines. Due to the limited access and often variable availability of s…

cs.PL2016

JikesRVM: Internal Mechanisms Study and Garbage Collection with MMTk

Pradeeban Kathiravelu, Xiao Chen, Dipesh Dugar Mitthalal +1

High Level Language Virtual Machines is a core topic of interest for the researchers who are into virtual execution environments. As an open source virtual machine released to 16 u…

cs.DC2016

A FIRM Approach to Software-Defined Service Composition

Pradeeban Kathiravelu, Tihana Galinac Grbac, Luís Veiga

Service composition is an aggregate of services often leveraged to automate the enterprise business processes. While Service Oriented Architecture (SOA) has been a forefront of ser…

cs.NI2016

SENDIM for Incremental Development of Cloud Networks

Pradeeban Kathiravelu, Luís Veiga

Due to the limited and varying availability of cheap infrastructure and resources, cloud network systems and applications are tested in simulation and emulation environments prior…

cs.NI2015★ 1 cited

Not Every Flow is Equal: SMART Discrimination in Redundancy

Pradeeban Kathiravelu, Luís Veiga

Software-Defined Data Centers (SDDC) extend virtualization, software-defined networking and systems, and middleboxes to provide a better quality of service (QoS). While many networ…