Sampath Jayarathna
Scholar

Sampath Jayarathna

Google Scholar ID: OkEoChMAAAAJ
Associate Professor of Computer Science, Old Dominion University. ONR Faculty Fellow, NSWC
data scienceneuro-information retrievaleye trackingdigital library@WebSciDL
Citations & Impact
All-time
Citations
1,785
 
H-index
20
 
i10-index
35
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Recipient of 2021 NSF CAREER award; Sabbatical at NASA Langley Research Center, Spring/Summer 2025; ONR Senior Faculty Fellow at Naval Surface Warfare Center, Dahlgren, Dam Neck Activity, Summer 2024; Received NSF Award: Doctoral Symposium Support for JCDL 2023; Received Virginia Space Grant Consortium Innovate Project Grant; ODU Provost's Award for Outstanding Undergraduate Research Mentor; NSF MSI Proposal with Bowie State University got funded; NSF REU Site got Funded; Excited to receive a $75k equipment award from COVA-CCI; NSF S&CC-PG award; ODUAA New Faculty 2021 award; Best Student Paper Award at IEEE IRI 2019; Best Paper Award at MerCon 2019; Invited talks at NASA Langley and Mitre Corp.
Research Experience
  • Joined the faculty at Old Dominion University in 2018; Tenure-track faculty at Cal Poly Pomona (2016-2018).
Education
  • Ph.D. in Computer Science from Texas A&M University in 2016, advised by Frank Shipman; M.S. in Computer Science from Texas State University in 2010, advised by Oleg Komogortsev; B.S. in Computer Science (First Class) from University of Peradeniya, Sri Lanka in 2006.
Background
  • Research interests lie in the use and development of data science, information retrieval, and machine learning techniques for effective and efficient adaptive information access. Leverages cross-disciplinary approaches to capture user intent dynamically during information-seeking behaviors and contributes to the fundamental understanding of human-information interaction by looking at how people locate and use information. Enjoys connecting the dots between disciplines and exploring computational techniques to build user models from large-scale user interaction data. Applies methods in areas ranging from perception, cognition, and psycho-physiological measurements (e.g., EEG, eye tracking, and wearable devices) by probing the thoughts of people conducting searches, simulating presumed cognitive functions with computational algorithms, and observing information behavior in everyday tasks.
Miscellany
  • Personal interests include reading, movies, and TV shows.
Co-authors
0 total
Co-authors: 0 (list not available)