15 August, 2024

My team’s paper, ‘A deep learning pipeline for the palaeographical dating of ancient Greek papyrus fragments’ was presented by my colleague Dr. Graham West at the Machine Learning for Ancient Languages (ML4AL) Workshop at the upcoming 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). https://www.ml4al.com/

24 June, 2024

I’m pleased to announce that my team’s paper, ‘A deep learning pipeline for the palaeographical dating of ancient Greek papyrus fragments’ was accepted to the Machine Learning for Ancient Languages (ML4AL) Workshop at the upcoming 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). https://www.ml4al.com/

1 June, 2024

I am proud to be serving on the Machine Learning for Ancient Languages Workshop Program Committee at ACL 2024 (https://www.ml4al.com/index.html)

30 May, 2024

Presented my team’s paper, ‘Smart Digital Edition Management: A Blockchain Framework for Papyrology’ at ACM SIGMIS CPR

4 May, 2024

Graduated with a PhD in Computational Science & and MS in Computer Science from MTSU

24 April, 2024

Today I successfully defended my dissertation, ‘Advancing Digital Papyrology: Machine Learning and Blockchain Tools for Modernizing the Study of Ancient Greek Manuscripts’

18 March, 2024

I’m proud to have represented MTSU and my research team at the ACM Conference on Intelligent User Interfaces, Past Meets Future Workshop in Greenville, SC with our submission, ‘Towards a Platform for AI-Assisted Papyrology.’’ There were many great talks and I met many excellent people. The accepted papers can be found at https://lnkd.in/eCNjHnNE

7 February, 2024

I’m happy to announcy that our paper, ‘Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri’ was published in the Journal of Data Mining and Digital Humanities (https://jdmdh.episciences.org/10297)

4 February, 2024

I’m happy to share that my dataset AL_PUB is now available on Kaggle! AL_PUB is a large scale image dataset for AI/ML use cases. Each image is an ancient Greek character on papyrus. The dataset was created using crowdsourced annotations from the Ancient Lives Project, of over 12,000 papyrus fragment images. Each fragment is from the Oxyrhynchus Papyri collection. It has only been on Kaggle for a few days and someone has already trained a vision transformer on the data. Please check it out if you’re interested! https://lnkd.in/gWGzyBz7