CV

Curriculum Vitae

Fahimeh Orvati Nia
College Station, TX | fahimehorvatinia@tamu.edu | Google Scholar | LinkedIn | GitHub

Education

PhD, Computer Engineering (In Progress)
Texas A&M University, College Station, TX
Jan 2025 – Present
Research Areas: AI, Computer Vision, Agricultural Imaging, Graph Neural Networks
Affiliated with Texas A&M AgriLife Research Institute

M.Sc., Electrical Engineering
University of Notre Dame, IN, USA
Aug 2023 – Jan 2025
Thesis: Time-series anomaly detection using GANs and pedestrian intention prediction with GNNs

B.Sc., Electrical Engineering (Control)
Amirkabir University of Technology, Tehran, Iran
Sept 2016 – Jan 2020

Experience

Research Assistant, Texas A&M AgriLife Research
Jan 2025 – Present
Working on computer vision and AI-based analysis of agricultural multispectral imagery.

Peer Reviewer, IEEE Control Systems Society Conferences
Reviewed submissions for:

American Control Conference (ACC) 2025
Conference on Control Technology and Applications (CCTA) 2025

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

Research Assistant, University of Tehran
Jan 2022 – June 2023
Worked on machine learning for the classification and clustering of musical instruments.

IoT Developer, NOICT Company, Tehran, Iran
July 2021 – Oct 2021
Developed wireless communication between IoT devices using the Zigbee protocol.

Selected Publications

Traffic-aware pedestrian intention prediction
Fahimeh Orvati Nia, Hai Lin
American Control Conference (ACC) 2025
arXiv:2507.12433

Neighborhood Feature Pooling for Remote Sensing Image Classification
Fahimeh Orvati Nia, Joshua Peeples, et al.
Under review at WACV 2026

Evaluating GAN-LSTM for Smart Meter Anomaly Detection in Power Systems
Fahimeh Orvati Nia, S. Salehi, J. Peeples
arXiv preprint arXiv:2601.09701, 2026

Integrating Multispectral Imaging and Low-Field Magnetic Resonance Imaging for Comprehensive Phenotyping of Horticultural Crops
A. McFarland, L. Rossi, F. Nia, J. Peeples, A. Svyanek
HORTSCIENCE 60 (7), 2025

Full publication list at Google Scholar

Skills

Languages & APIs: Python, C++, MATLAB, LaTeX
ML & CV Libraries: PyTorch, TensorFlow, Keras, OpenCV
Developer Tools: Git, Docker
Embedded Systems: STM32, Raspberry Pi, Arduino

Honors and Awards

National full undergraduate scholarship in Iran
Ranked top in Computational Intelligence and Communication Systems courses during B.Sc.
Top rank in Iranian National Entrance Exam for Master’s programs