Fahimeh Orvati Nia’s Homepage

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

Computer vision for 2D multispectral plant phenotyping
Image classification and feature aggregation (pooling)
Machine learning for agricultural imaging and decision support
Human behavior modeling and pedestrian intent prediction

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

Publications

ACC 2025

Traffic-aware pedestrian intention prediction

Fahimeh Orvati Nia, Hai Lin

American Control Conference (ACC), 2025

WACV 2026 Workshop

Neighborhood Feature Pooling for Remote Sensing Image Classification

Fahimeh Orvati Nia, Joshua Peeples, et al.

WACV 2026 Workshop on Earth Observation

TPEC 2026

Evaluating GAN-LSTM for Smart Meter Anomaly Detection in Power Systems

Fahimeh Orvati Nia, S. Salehi, J. Peeples

TPEC 2026

Certifications

Neural Networks and Deep Learning, DeepLearning.AI (Coursera), Oct 21, 2021
Machine Learning, Stanford University (Coursera), Oct 17, 2021

Honors and Awards

Top rank in Iranian National Entrance Exam for Master’s programs
PlantCV Workshop + NAPPN 2026 Travel Award

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