Pradeeban Kathiravelu, Ph.D.

Pradeeban Kathiravelu, Ph.D.

Assistant Professor of Computer Science

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Pages

Posts

Future Blog Post

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images

Published in Journal of Digital Imaging (JDI), 2021

This paper presents the architecture of Niffler DICOM framework.

Citation: Kathiravelu, P., Sharma, P., Sharma, A., Banerjee, I., Trivedi, T., Purkayastha, S., Sinha, P., Cadrin-Chenevert, A., Safdar, N., and Gichoya, J. A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology Images. In Journal of Digital Imaging (JDI). 34(4), 1005-1013. August 2021. https://doi.org/10.1007/s10278-021-00491-w

Towards an Internet-Scale Overlay Network for Latency-Aware Decentralized Workflows at the Edge

Published in Elsevier Computer Networks, 2022

This paper presents Viseu, Virtual Internet Services at the Edge, a utility based on a decentralized Blockchain architecture.

Citation: Kathiravelu, P., Zaiman, Z., Gichoya, J., Veiga, L., and Banerjee, I. Towards an Internet-Scale Overlay Network for Latency-Aware Decentralized Workflows at the Edge. In Computer Networks (COMNET). 203, 108654. February 2022. https://doi.org/10.1016/j.comnet.2021.108654

CONTROL-CORE: A Framework for Simulation and Design of Closed-Loop Peripheral Neuromodulation Control Systems

Published in IEEE Access, 2022

This paper presents the CONTROL-CORE framework for the design and simulation of neuromodulation control systems.

Citation: Kathiravelu, P., Arnold, M., Fleischer, J., Yao, Y., Awasthi, S., Goel, A. K., Branen, A., Sarikhani, P., Kumar, G., Kothare, M. V., and Mahmoudi, B. CONTROL-CORE: A Framework for Simulation and Design of Closed-Loop Peripheral Neuromodulation Control Systems. In IEEE Access. 10, 36268-36285. March 2022. https://doi.org/10.1109/ACCESS.2022.3161471

Visualizing Scanner Utilization from MRI Metadata and Clinical Data

Published in IEEE Computer Magazine, 2023

This paper visualizes the MRI scanner utilization using DICOM metadata retrieved via Niffler, leveraging the dashboards developed with Eaglescope.

Citation: Kathiravelu, P., Li, N., Singi, N., Bhimireddy, A., Birmingham, R., Gichoya, J., Trivedi, H., Safdar, N., Sharma, A., and Sharma, P. Visualizing Scanner Utilization from MRI Metadata and Clinical Data. In IEEE Computer. 56(8), 68-76. August 2023. https://doi.org/10.1109/MC.2022.3228107

The Telehealth Dilemma - Healthcare Deserts Meet Internet's Remote Regions

Published in IEEE Computer Magazine. Special Issue on Computing in Telemedicine, 2023

Telehealth has increased healthcare and specialist access to patients in healthcare deserts, the regions with limited healthcare. Telehealth provides healthcare to patients remotely, connecting them from their homes or community clinics to healthcare practitioners in remote sites, typically through the Internet. Therefore, stable Internet access is a deciding factor for telehealth. We observe the internet latency's relation to healthcare deserts as preliminary work toward evaluating disparities in telehealth in practice.

Citation: Kathiravelu, P., Fonović, D., Grbac, T. G., Zaiman, Z., Veiga, L., Gichoya, J., Purkayastha, S., and Mahmoudi. B. The Telehealth Dilemma – Healthcare Deserts Meet Internet's Remote Regions. In IEEE Computer. 56(9), 39-49. August 2023. https://doi.org/10.1109/MC.2023.3252945

Network Measurements for Telehealth Optimizations. Understanding Internet Paths in Remote Regions

Published in Cluster Computing – The Journal of Networks Software Tools and Applications (CLUSTER), 2024

Telehealth primarily relies on the availability of reliable Internet connectivity. However, Internet access can be challenging in remote regions far from the major Internet hubs. Such poor connectivity can prevent access to telehealth, where there is a tremendous need due to limited local healthcare facilities. Border Gateway Protocol (BGP), the exterior gateway protocol of the Internet, is not optimized for performance or shortest path. However, understanding network paths in remote regions of the Internet can enable network architectures tailored for telehealth access in remote regions. This paper explores the Internet landscape in Alaska, a vast remote region in the USA as far as the Internet access is concerned. Our study reveals how the state's geography impacts internet connectivity and provides insights into global connection routes. Leveraging the capabilities of RIPE Atlas, we study the Internet ecosystem in the northern state on various metrics, such as route paths and latency. We consider our network measurements an early step towards understanding the network paths and performance in the circumpolar north and other remote regions. Such measurements pave the way for simulated algorithms that could optimize telehealth access. Using Internet measurements as a core building block, we present our integrated approach to telehealth optimizations through network measurements and understanding network paths.

Citation: Caballero, E. S., Ramirez, J., Alisetti, S. V., Almario, S., and Kathiravelu, P. Network Measurements for Telehealth Optimizations. Understanding Internet Paths in Remote Regions. In Cluster Computing – The Journal of Networks Software Tools and Applications (CLUSTER). December 2024. Accepted. Springer.

An Interactive Native History Web Map for Epidemic Diseases in Alaska

Published in IEEE Computer Magazine, 2025

Computer applications can revolutionize the learning of culture and heritage. Usability and their utility as learning aids are critical for such applications. Online maps offer a modern solution to the limitations of sharing history with young generations. This paper builds an interactive web map that provides a visual learning environment for the epidemic diseases in Alaska and their impact on the Alaska Native communities.

Citation: Kollander, M., Hollowood, R., Williams, M., and Kathiravelu, P.. An Interactive Native History Web Map for Epidemic Diseases in Alaska. In IEEE Computer. April 2025. https://doi.org/10.1109/MC.2025.3563833

A Serious Game for Dena’ina Language and Heritage

Published in IEEE Computer Magazine. Special Issue on Computing in Game, Film and Interactive Experience Technologies., 2025

Culturally sensitive education and place-based learning can facilitate the preservation of Indigenous history and culture revitalization. Research has shown the effectiveness of using serious games in active learning in various domains such as engineering, computer science, languages, history, and literature. This paper presents the research, design, and development of Dnigi, a serious game to facilitate learning Alaska Native Heritage, focusing on Dena'ina language and history. We envision Dnigi as a learning aid, targeting an undergraduate audience as developers and users.

Citation: Zhang, X., Wang, Y., Slawson, D., Williams, M., Boeckmann, R., and Kathiravelu, P. A Serious Game for Dena'ina Language and Heritage. In IEEE Computer. April 2025. https://doi.org/10.1109/MC.2025.3566359

Distributed Executions with CONTROL-CORE Integrated Development Environment (IDE) for Closed-loop Neuromodulation Control Systems

Published in Cluster Computing – The Journal of Networks Software Tools and Applications (CLUSTER), 2025

Design and execution of neuromodulation control systems studies are challenging as they consist of feedback loops and often need to compose studies from programs developed in different programming languages. In our previous work, we designed CONTROL-CORE as an open-source framework for simulating closed-loop peripheral neuromodulation control systems to address this need. We implemented its prototype as CONTROL-CORE-1.0 with support for building and running such studies locally and in a distributed manner. This paper presents CONTROL-CORE-2.0, the extended version of CONTROL-CORE, converting it into an integrated development environment (IDE) for neuromodulation control systems, addressing the identified shortcomings in the prior version in terms of performance, efficient use, and functionality. Our contributions facilitate the visual creation and execution of programs and studies from them, the distributed execution of those studies in a cluster or across organizations, and the curation of community-contributed studies and programs in a centralized repository.

Citation: Kathiravelu, P., Arnold, M., Vijay, S., Jagwani, R., Goyal, P., Goel, A.K., Li, N., Horn, C., Pan, T., Kothare, M. V., and Mahmoudi, B. Distributed Executions with CONTROL-CORE Integrated Development Environment (IDE) for Closed-loop Neuromodulation Control Systems. In Cluster Computing – The Journal of Networks Software Tools and Applications (CLUSTER). May 2025. Accepted. Springer.

talks

teaching