Mirna presented her research at a student poster session organized as part of the College of Science and Engineering Advisory Council meeting on Friday, November 15, 2024, in Ingram Hall 2nd floor front lobby.

Tanzina Akter Tani and Jelena Tešić published a journal paper on "Advancing Retinal Vessel Segmentation With Diversified Deep Convolutional Neural Networks" on IEEE Access. Follow the published paper here.

Debojyoti Biswas and Jelena Tešić published a journal paper on "Binarydnet53: a lightweight binarized CNN for monkeypox virus image classification" on Signal, Image and Video Processing. Follow the published paper here.

Debojyoti Biswas and Jelena Tešić published a journal paper on "Domain Adaptation with Contrastive Learning for Object Detection in Satellite Imagery" on IEEE Transactions on Geoscience and Remote Sensing. Follow the published paper here.

Tanzina presented her poster "Semantic segmentation for retinal blood Vessel images." at 3rd TxST Analytics Showcase. Her poster won Panelist choice award in graduate student category.

TXST graduate students collaborate for NASA mission to the International Space Station. See the news details here.

Muhieddine Shebaro, Lia Nogueira de Moura and Jelena Tešić published a journal paper on "Improving association discovery through multiview analysis of social networks" on Springer Nature Social Analysis and Mining. Follow the published paper here.

Debojyoti Biswas and Jelena Tešić published a journal paper on "Unsupervised domain adaptation with debiased contrastive learning and support-set guided pseudo labeling for remote sensing images" on IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Follow the published paper here.

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.

Mirna Elizondo, Rasim Musal, June Yu, Jelena Tešić published a conference paper on "Long COVID Challenge: Predictive Modeling of Noisy Clinical Tabular Data" in the 11th IEEE International Conference on Healthcare Informatics at Houston, Texas. 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).

Debojyoti Biswas, M M Mahabubur Rahman, Ziliang Zong and Jelena Tešić published a paper on "Improving the Energy Efficiency of Real-time DNN Object Detection via Compression, Transfer Learning, and Scale Prediction" in the 16th IEEE International Conference on Networking, Architecture, and Storage 2022, Philadelphia.

Debojyoti Biswas and Jelena Tešić's paper on "Small Object Difficulty (SOD) Modeling for Objects Detection in Satellite Images" got accepted for oral presentation in the 14th IEEE International Conference on Computational Intelligence and Communication Networks (CICN).

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 .

Departmentof Energy (DoE) funded $150,000 Research and Development Partnership Pilot project with Salah Faroughi as the PI, and Jelena Tešić and John Tiefenbacher as the co-PIs until Aug 31 2024.

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.

Debojyoti Biswas, M M Mahabubur Rahman, Ziliang Zong and Jelena Tešić's paper on " Improving the Energy Efficiency of Real-time DNN Object Detection via Compression, Transfer Learning, and Scale Prediction" got accepted at16th IEEE International Conference on Networking, Architecture, and Storage 2022, Philadelphia.

Maria Tomasso, Lucas J Rusnak, Jelena Tešić published a paper on "Advances in Scaling Community Discovery Methods for Signed Graph Networks" in the Journal of Complex Networks.

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.

Ph.D. student Maria Tomasso presented the "Cluster boosting and data discovery in social networks" poster at the 37th ACM Symposium on Applied Computing (SAC '22) conference.

Master student June Yu presented the poster at the Texas State Analytics Showcase

Jelena Tešić presented the posteron the learning loss impact modeling TX Public Schools in the 2022 Health Scholar 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.

George Strauch (B.Sc. 2021) presented "Overhead Projection Approach For Multi-Camera Vessel Activity Recognition" at the IEEE Big Data REU 2021 Symposium. [paper] [slides]

Muhieddine Shebaro (Ph.D. student) presented FakeNews task submission at MediaEval 2021 workshop: [paper] and [slides].

Yuxiao Zhou (Ph.D. student) presented NewsImages task at MediaEval 2021 workshop: [paper] and [slides].

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 conference.

Lucas Rusnak and Jelena Tešić's seminal findings on "Characterizing attitudinal network graphs through frustration cloud" were published in Data Mining and Knowledge Discovery Journal.

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] and [slides]

Dr. Tešić presented "Computing with Words in Maritime Piracy and Attack Detections Systems" paper at International Conference on Human Computer Interaction

Maria Tomasso and Eric Hull are scheduled to present at TXST Innovation Lab @ SxSW 2020, [event] [poster]

Dr. Tešić advised Texas State Faculty on pivotal decision making in their career paths.

Data Lab students Maria Tomasso and Eric Hull were featured in Texas State University Research Spotlight. [screenshot]

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.