Defended my PhD dissertation titled "Advancing Yield Predictions in Pinus taeda (L.): An Artificial Intelligence (AI) Approach Leveraging LiDAR-derived Individual Tree Crown (ITC) Metrics, Competition Indices (CI), and Satellite Remote Sensing Indices" at the Fralin Auditorium. Officially a doctorate! Read the update

Presented a poster at the OGIS Symposium based on the 2nd chapter of my dissertation, titled "Temporal Transferability Assessment of Individual Tree Volume in Pinus taeda (L.) Using Single-Date UAV-LiDAR and Machine Learning", and won the 2nd Prize!

My paper - 'Static Maps, Dynamic Threats: Re-evaluating U.S. Wildfire Risk with Spatiotemporal Clustering' accepted for publication at the Natural Hazards journal

My paper, titled 'Single-date LiDAR acquisition accurately predicts the yield of Pinus taeda (L.) over a 7-year timespan using machine learning' submitted to the Journal of Forestry Research

Presented my research titled 'Scalable Yield Forecasting for Loblolly Pine Plantations Using UAV-LiDAR and Machine Learning' at Remote Sensing seminar at Virginia Tech.

Paper on Mangrove species classification and salinity tolerance mapping in the mangrove region of Bangladesh using Google Earth Embedding dataset has been submitted to Discover Forests. The Preprint is available online.

Paper on plot-based yield prediction of Loblolly Pine using temporal open-source Sentinel-1 and 2 dataset submitted to the International Journal of Remote Sensing. The Preprint is available online.

Got featured on Forest Productivity Cooperative's quaterly newsletter. Read it here

Presented my poster titled 'Crowns, Competition, and Continuity: A Machine Learning Approach for Annual Yield Prediction of Pinus taeda (L.) Using UAV-LiDAR Data' at AGU 2025, held in New Orleans, LA. Take a look at the poster.

Presented my research titled 'Scalable Yield Forecasting for Loblolly Pine Plantations Using UAV-LiDAR and Machine Learning' at the Forest Modeling Research Cooperative Annual Meeting 2025, held at Blacksburg, VA.

My abstract titled 'Crowns, Competition, and Continuity: A Machine Learning Approach for Annual Yield Prediction of Pinus taeda (L.) Using UAV-LiDAR Data' got accepted for a poster presentation at AGU 2025, to be held in New Orleans, LA from December 15-19, 2025.

Attended the FPC Annual Meeting in Raleigh, NC. Presented my poster titled 'Predicting Yields of Pinus taeda (L.) with Open-Source Time-Series Sentinel 1 and 2 Data with Machine Learning and Neural Networks'. See me presenting. Look at the poster.

Submitted my article 'Static Maps, Dynamic Threats: Re-evaluating U.S. Wildfire Risk with Spatiotemporal Clustering' to the Natural Hazards journal. Read the preprint here.

Delivered a guest lecture for the Quantitative Systems & Inventory team of Weyerhaeuser Co. on my new publication.

Published a new article in Forest Ecology and Management. Read here.

Presented my research progress on the third chapter of my dissertation—using open-source satellite data within the AI framework for plot-level yield prediction of Loblolly Pine—at the OGIS Symposium. See me presenting.

Presented progress from the third chapter of my dissertation at the Department of Forest Resources and Environmental Conservation spring seminar series. See me presenting. Look at the presentation.

Invited to present at the Blue Ridge SAF Chapter Meeting 2025. My presentation focused on using AI with remote sensing to predict yields of Loblolly Pine. See me presenting. Look at the presentation.