Fahimeh Orvati Nia

Fahimeh Orvati Nia

Texas A&M University

I’m a PhD student in Computer Engineering at Texas A&M University, advised by Dr. Joshua Peeples, and affiliated with the Advanced Vision and Learning Lab (AVLL). I earned my Master’s degree in Electrical Engineering from the University of Notre Dame in 2025 and my Bachelor’s degree in Electrical Engineering from Amirkabir University of Technology in 2020.

Research Focus

Looking ahead, I aim to develop smart, automated plant phenotyping systems that support data-driven agriculture.

Publications

Plant Phenotyping Pipeline
A Data-Driven Image Extraction and Analysis Pipeline for Plant Phenotyping in Controlled Environments
Fahimeh Orvati Nia, Joshua Peeples, Seth C Murray, Andrew McFarland, and colleagues
bioRxiv (Under revision to Plant Phenome Journal), 2026
Integrating Multispectral Imaging and Low-Field Magnetic Resonance Imaging for Comprehensive Phenotyping of Horticultural Crops
A. McFarland, L. Rossi, Fahimeh Orvati Nia, J. Peeples, A. Svyanek
HORTSCIENCE, 2025
TPEC 2026
Evaluating GAN-LSTM for Smart Meter Anomaly Detection in Power Systems
Fahimeh Orvati Nia, S. Salehi, J. Peeples
TPEC 2026
WACV 2026 Workshop
Neighborhood Feature Pooling for Remote Sensing Image Classification
Fahimeh Orvati Nia, Joshua Peeples, et al.
WACV 2026 Workshop on Earth Observation
ACC 2025
Traffic-aware pedestrian intention prediction
Fahimeh Orvati Nia, Hai Lin
American Control Conference (ACC), 2025

Certifications

Honors and Awards

Talks and Presentations

Experience

Research Assistant
Texas A&M AgriLife Research
Jan 2025, Present

Teaching Assistant
University of Notre Dame
Fall 2023, Spring 2024
Courses: Introduction to Electrical Engineering, Signals and Systems

Peer Reviewer
LXAI-NeurIPS 2025, IEEE RA-L, ICRA 2026, ACC 2025, CCTA 2025

Student Mentoring

Chloe Tiley, Sophia Martinez-Badillo, Michael Morse, Amran Kassaye, Nazar Oladepo