Program Accomplishments

Cohort Time Frame Type Accomplishment Details
Cohort 1 Publication E. Cardenas, C. Shorten, T.M. Khoshgoftaar, and B. Furht, “A Comparison of House Price Classification with Structured and Unstructured Text Data,” Conference Proceedings of FLAIRS-35 Conference, 2022.
Cohort 1

Poster Presentation 

35th International FLAIRS Conference, May 16th 2022

Presentation by Erika Cardenas "A Comparison of House Price Classification with Structured and Unstructured Text Data"
Cohort 1 Provisional Patent  H. Kalva, V. Adzic, B. Furht, A. Krause, M.E.H. Elmon, and A. Perera, “Systems and Methods for Region Packing Based Compression,” Provisional patent 1097-072USP1, 2022.
Cohort 2

Poster Presentation 

NRT Annual Meeting at Virginia Tech, October 2022

Presentation by Juan Merlos, "Region Based Encoder for Video Coding for Machines"
Cohort 2 Award Award of $5,000 to NRT Trainee, Yherzon Chura Ruiz, Business Pitch Competition, 2nd Place. He launched a company called aDubb’s, whose mission is to empower end-consumers of media content to access automatically generated dubs in their language of choice. This model is breaking the language barriers so that users have access to foreign language media with the help of proprietary AI models and systems
Cohort 2 Provisional Patent  H. Kalva, V. Adzic, B. Furht, A. Krause, M.E.H. Eimon, and A. Perera, “Systems and Methods for Video Packing, Encoding, and Decoding for Machine-Based Applications,” Provisional patent 1097-083USP1, 2023.
Cohort 2 Provisional Patent  H. Kalva, V. Adzic, J. Merlos, and B. Furht, “DCT Filtering for MAP in Video Coding for Machines,” Provisional patent 1097-086USP1, 2023.
Cohort 2 Provisional Patent J. Merlos, H. Kalva, V. Adzic, and B. Furht, “Content Adaptive Multi-Scale Layer Filtering, Provisional patent 1097-0100USP1, 2023.
Cohort 2 Conference Presentation for Provisional Patent presented at the VCM Standard Committee Meeting, Geneve, Switzerland, July 2023. J. Merlos, H. Kalva, V. Adzic, and B. Furht, “DCT-based Filtering for Improving Machine Task Performance, Provisional patent.
Cohort 2 Publication

C. Garbin, N. Marques, and O. Marques, “Machine learning for predicting opioid use disorder from healthcare data: a systematic review” Computer Methods and Programs in Biomedicine (2023) https://doi.org/10.1016/j.cmpb.2023.107573 

Publication (Full text)

Cohort 3

Poster Presentation 

NRT Annual Meeting at Tempe, Arizona, October 29-31, 2023 Arizona State University

Presentation by Yherzon Chura Ruiz from Cohort 2. "Breaking the Language Barriers in Media on the Internet - aDubb"
Cohort 3

Presentation of Publication 

ICERI2023 Conference in Spain - Nov 13-15 2023

Report on NSF-Funded Graduate Traineeship in Data Science Technologies and Applications.  B. Furht, R. Tappen, T. Khoshgoftaar, H. Kalva, O. Marques, X. Zhu, J. Jang, M.T. Jan, N. Romance, and M. Pinto Florida Atlantic University.

Appears in: ICERI2023 Proceedings
Publication year: 2023   doi: 10.21125/iceri.2023.1292

Cohort 3 Publication 

Mohamed AA, Marques O. "Diagnostic Efficacy and Clinical Relevance of Artificial Intelligence in Detecting Cognitive Decline". Cureus. 2023 Oct 13;15(10):e47004. doi: 10.7759/cureus.47004. PMID: 37965412; PMCID: PMC10641267.

Publication (Full Text)

Cohort 3
(Trainee from Cohort 2)
Patent Application

"Decoded Frame Augmentations for Video Coding for Machines", Hari Kalva, Borko Furht, Velibor Adzic, Juan Merlos.
Application Serial No. US 63/524,455

Cohort 3 Publication

Elishakoff I, Zauder V. “IKEA Effect” and project-based instruction in intermediate strength of materials course. International Journal of Mechanical Engineering Education. 2024;0(0). doi:10.1177/03064190241254033

Publication (Full Text)

Cohort 3 
(Trainees from Cohort 1 &  2)
Award

NRT Trainees Win 2nd Place at AI Hackaton, Engineers Week Event 2024 - $3,000 prize for the team - Congratulations Juan Merlos, trainee from Cohort 2, and Ashan Perera, trainee from our first cohort!

Cohort 4
(Trainee from Cohort 3)

Award

NRT Trainee, Vinicius T Salgado received NSF Travel Award.

Cohort 4

Poster Presentation 

NRT Annual Meeting at Arlington, VA      October 21-23, 2024

Presentation by Vinicius T Salgado, “Text to Video Generators: Evaluation and Applications”.

Cohort 4

Publication 

Research paper submitted to the journal of Big Data. This paper is a collaboration from trainee Ethan Curtis and Dr. Khoshgoftaar. The paper is a survey on machine learning techniques for healthcare insurance fraud detection called:  "A review of distinct machine learning classifiers for healthcare fraud detection". 

DOI: 10.1186/s40537-025-01295-3

Publication (Full Text) 

Cohort 4

Platform Presentation/Invited Talk

Microscopy & Microanalysis Conference at
Salt Lake City, Utah  July 27-31, 2025

Presentation by Alejandra Coronel-Zegarra, on Coral Mineralization. A research collaboration with the Chemistry Department, applying data science and analytics to support her project. Trainee won a 2025 M&M Student Award.

Cohort 4

Conference Proceedings Publication 

The abstract submitted by Alejandra Coronel-Zegarra was published as a conference proceedings.

Alejandra Coronel-Zegarra, Edward De La Uz, Diannelle Lacambra-Rivera, Paul Smeets, Joshua Voss, Youli Li, Phillip Kohl, Vivian Merk, Multiscale Chemistry and Structure of Stony Coral Tissue Loss Disease Lesions, Microscopy and Microanalysis, Volume 31, Issue Supplement_1, July 2025, ozaf048.403, https://doi.org/10.1093/mam/ozaf048.403

Cohort 5 
(Trainee from Cohort 4)

Publication

The paper from Alejandra Coronel-Zegarra's Direct Independent Research course completed as part of the NRT program was accepted into the Journal of Structural Biology.

Coronel-Zegarra A, Knaub JL, Merk V, Pandya A. Leveraging deep learning semantic segmentation for imaging coral skeletons. J Struct Biol. 2026 Mar 10:108313. doi: 10.1016/j.jsb.2026.108313. Epub ahead of print

Cohort 5 

Award

September 19 through Saturday, September 20, 2025

NRT trainee Vinceline Bertrand participated in the 2025 Tech Hub 24-Hour Hackathon, where she and her team placed 2nd overall, earning a $1,500 award and the opportunity to interview with CITY Furniture and NextEra/FPL. In addition, her team received the Best App Award, which included React Miami tickets valued at $500.

Cohort 5

Award

FAU’s WAVE program has awarded NRT trainee Vinceline Bertrand $500 in support of further developing her hackathon-winning app. The WAVE program is a research and entrepreneurial competition that challenges students to propose and advance innovative solutions addressing real-world societal problems.

Cohort 5

Award

NRT trainees Adriel Marie Abad, Vinceline Bertrand, and Nikki Leali earned first place at the Agentic AI Hackathon hosted by FAU’s Department of Electrical Engineering and Computer Science.

Cohort 5

Recognition

NRT Trainee Vinceline Bertrand was selected to participate in the Spring 2026 Hacking 4 Defense (H4D) Program. 

Traveled to Germany where she had the opportunity to beta test a physical training AI-assisted app for soldiers in a live setting on a military base.

Cohort 5

Recognition

NRT Trainee Vinceline Bertrand was accepted into FAU Runway Venture Program. 

Cohort 5

Recognition

NRT Trainee Vinceline Bertrand selected to be a speaker at the annual tech conference React Miami. A premier software development conference.

Cohort 5

Publication (Submitted/ Under review)

Research paper submitted for publication by Richelle Williams with professor Fernando Koch.

"A Scan-Based Analysis of Internet-Exposed IoT Devices Using Shodan Data"

https://arxiv.org/abs/2602.15263

Cohort 5

Award

NRT Trainee, Nikki Leali received NSF Travel Award.

Cohort 5

Conference Proceedings (Submitted/ Under review)

Research paper submitted for publication by Vinceline Bertrand to MICCAI. (Pending title and status)

Cohort 5

Conference Proceedings (Submitted/ Under review)

Research paper submitted for publication by Vinceline Bertrand to ICML. (Pending title and status)

Cohort 5

Poster Presentation 

NRT Annual Meeting at Golden, CO      March 22-24, 2026

Presentation by Nikki Leali, “OnCourse: Multi-Agent AI System for Academic Planning".