Below you can find a basic list of my publications, presentations and posters and links to the respective journals and information. Much of this can be viewed on my Google Scholar’s page https://scholar.google.com/citations?user=Q-DpviYAAAAJ&hl=en

Recovery of alumina nanocapacitors after high voltage breakdown

Nature: https://www.nature.com/articles/s41598-017-01007-9

Ratiometric analysis of optical coherence tomography–measured in vivo retinal layer thicknesses for the detection of early diabetic retinopathy

Journal of BioPhotonics: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5673522/

Improving extreme weather events detection with light-weight neural networks

AdsorbRL: Deep Reinforcement Learning for Inverse Catalyst Design

Tunneling Real-Space Transfer Transistor Circuit Model

DLT Enabled Database

ICLR 2023 Rwanda: Tackling Climate Change with Machine Learning: Global Perspectives and Local Challenges: https://arxiv.org/pdf/2304.00176.pdf

NeurIPS '23 Workshop:  AI for Accelerated Materials Design: https://openreview.net/forum?id=MNfVMjsL7S or https://arxiv.org/abs/2312.02308

Ideals: https://www.ideals.illinois.edu/items/80085/bitstreams/210399/data.pdf

North East Database Day 2019: https://mitdbg.github.io/nedbday/2019/#posters