Pradeeban Kathiravelu

Profile photo of Pradeeban Kathiravelu
Assistant Professor
Computer Science & Engineering
ECB 308G
(907) 786-0619


Ph.D., Distributed Computing. Instituto Superior Técnico – Universidade de Lisboa (IST-ULisboa), Portugal and Université catholique de Louvain (UCLouvain), Belgium.
Dissertation: Software-Defined Systems for Network-Aware Service Composition and Workflow Placement.
M.Sc., Distributed Computing. Instituto Superior Técnico – Universidade de Lisboa (IST-ULisboa), Portugal and KTH Royal Institute of Technology, Sweden.
B.Sc., Computer Science & Engineering. University of Moratuwa, Sri Lanka.


Pradeeban Kathiravelu is an Assistant Professor in the Department of Computer Science and Engineering at University of Alaska Anchorage. He joined UAA in Fall 2023. Prior to joining UAA, he was a postdoctoral researcher at the Department of Biomedical Informatics, Emory University. His PhD and MSc were joint degrees funded by European Education and Culture Executive Agency (EACEA) under the European Union Erasmus+ / Erasmus Mundus scholarships.

His research interests are where distributed systems and biomedical informatics meet. His research focuses on networking and big data innovations for healthcare. He specifically investigates wide-area network optimizations for telehealth access and equity in rural Alaska and healthcare deserts globally. He also seeks to contribute to diverse topics related to the circumpolar north using his distributed computing expertise. He enjoys working on open-source projects and mentoring students in undergraduate research and in programs like Google Summer of Code.

Teaching Responsibilities

CSCE 365 Computer Networks
CSCE 465 Computer and Network Security

Research Interests

  • Software-Defined Systems and network softwarization
  • Telehealth access in remote regions
  • Healthcare big data integration
  • Internet measurements and network optimizations.
  • Service-Oriented Architecture (SOA).


  • 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. Special Issue on Computing in Telemedicine. 56(9), 39-49. August 2023.
  • 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.
  • 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.
  • 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.
  • Kathiravelu, P., Sarikhani, P., Gu, P., and Mahmoudi, B. Software-Defined Workflows for Distributed Interoperable Closed-Loop Neuromodulation Control Systems. In IEEE Access. 9, 131733-131745. September 2021.
  • 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.
  • Kathiravelu, P., Sharma, A., and Sharma, P. Understanding Scanner Utilization with Real-Time DICOM Metadata Extraction. In IEEE Access. Vol. 9, pp. 10621 – 10633. January 2021.

Career History/Work Experience

  • University of Alaska Anchorage, Anchorage, AK – Assistant Professor, Department of Computer Science and Engineering, 2023 to Present.
  • Emory University, Atlanta, GA – Postdoctoral Researcher, Department of Biomedical Informatics, 2019 – 2023.