News & Events
Muhieddine Shebaro and Jelena Tešić presented a poster on "Identifying Stable States of Large Signed Graphs" at ACM Web Conference (PhD Symposium) and INSA Sunbelt. Follow the published paper here
Deniel Payan and Jelena Tešić presented a poster on "Identifying Learning Loss in Texas Students and the Impacts of Recovery Spending" at Health Scholar Showcase 2023. Follow the event here
Deniel Payan and Jelena Tešić presented a poster on "Learning Loss recovery after Covid-19 panedemic in texas public schools" at 2023 CHERR health research program, Texas State University. Follow the event here
M M Mahabubur Rahman presented a poster on "Evaluating Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for High-dimensional Image Feature Search" at 2022 IEEE International Conference on Big Data in Osaka, Japan (virtual presentation).
M M Mahabubur Rahman presented a workshop paper on "Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for Large Descriptor Databases" at BigData'22 7th Workshop on Advances in High Dimensional (AdHD) in Osaka, Japan (virtual presentation).
Debojyoti Biswas presented work on "Small Object Difficulty (SOD) Modeling for Objects Detection in Satellite Images" at 14th IEEE CICN conference in Saudi Arabia (virtual presentation).
Data Lab team participated in the SyData
2022. Jelena Tešić was an invited speaker (slides
): Debojyoti presented poster
on domain adaptation, Mo presented poster
on multi-modal analysis of Twitter at scale; and June presented poster
on scalable data science integration and modeling pipeline and Daniel demoed open source dashboard
for identifying resilience in Texas education .
Texas Department of Transportation (TxDOT) funded $451,875 for a 3-year project "Artificial Intelligence for Pavement Condition Assessment from 2D/3D Surface Images" with Dr. Feng Wang, Civil Engineering as the PI, and Dr. Jelena Tešić as the co-PI.
Muhieddine Shebaro, Jason Oliver, Tomiwa Olarewaju, Jelena Tešić's short paper on "DL-TXST Fake News: Enhancing Tweet Content Classification with Adapted Language Models" got published at MediaEval 2021
. See the accepted paper.
Jelena Tešić presented the benchmark effort "NewsImages: Addressing the Depiction Gap with an Online News Dataset for Text-Image Rematching" at the ODS track of ACM MMSys'22
in Athelone, Dublin. See the published paper
Master student June Yu presented the poster
at the Texas State Analytics Showcase
Data Lab received two RTX A6000 48GB GPUs as a gift from NVIDIA. The gift will support the research in developing a high-recall low-noise deep learning system for localizing objects from 20,000 x 20,000 pixel overhead images at various scales from a variable distance.
Ph.D. student Haitao Hong presented the paper "Automated Pavement Crack Detection with Deep Learning Methods: What Are Main Factors and How to Improve the Performance? Transportation Research Record, 2022" at the Transportation Research Board (TRB) 101th Annual Meeting in Washington, D.C. in January 2022.
Lia Nogueira (M.Sc. 2020) presented "pytwanalysis: Twitter Data Management And Analysis at Scale" at IEEE SNAMS 2021
conference. See the accepted paper
Ghadeer Alabandi (Ph.D. student) presented "Discovering and Balancing Fundamental Cycles in Large Signed Graphs" paper
at the International Supercomputing SC '21
Jelena Tešić has received NAWCAD NAVAIR SBIR Phase 2.5 AT grant extension for $199,708 . Data Lab was awarded the subcontract for their advances in implementing novel indexing, re-identification, and class discovery algorithms for large overhead imagery (Prime: Mayachitra Inc.)
Andrew Magill (Ph.D. student) presented FakeNews task submission at Media Eval 2020
workshop meeting. Data Lab team placed 2nd place for coarse classification and 10th place for fine classification. [paper]
Maria Tomasso and Eric Hull are scheduled to present at TXST Innovation Lab @ SxSW 2020, [event] [poster]
Data Lab students Maria Tomasso and Eric Hull were featured in Texas State University Research Spotlight
Dr. Jelena Tešić presents Data Lab research on Maritime Object Localization and Identification at Office of Naval Research Meeting.
Dr. Jelena Tešić presents the paper
at the Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, SPIE vol. 11006, Apr 2019, Baltimore, MD.
Nicholas Warren (B.Sc. 2019) presents the paper
at the the IEEE 4th International Conference on Collaboration and Internet Computing (CIC), Pages 246-255, Oct 2018 Philadelphia, PA.
Dr. Tešić has received $327,147 for Naval Air Warfare Center Aircraft Division (NAWCAD) NAVAIR SBIR Phase 2.5 Accelerated Transition project ``Object Cueing Using Biomimetic Approaches to Visual Information Processing,’’ subcontract, Prime: Mayachitra Inc.