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
- Multimodal AI and vision-language models for grounded image understanding and segmentation
- Deep learning and self-supervised representation learning for limited-label data
- Generative AI and deep neural architectures, including CNNs, vision transformers, GANs, and LSTM and sequence models
- Foundation models, efficient model adaptation, and mixture-of-experts methods
- End-to-end machine learning and data analysis pipelines, from preprocessing and feature extraction to evaluation, visualization, and deployment
- Computer vision for segmentation, classification, detection, tracking, and keypoint estimation
- Predictive modeling and anomaly detection for image, multispectral, time-series, and spatiotemporal data
- Scientific AI and decision-support systems for agriculture, remote sensing, energy, and human behavior analysis
Publications
Fahimeh Orvati Nia, Joshua Peeples, Seth C Murray, Andrew McFarland, and colleagues
bioRxiv (Under revision to Plant Phenome Journal), 2026
Fahimeh Orvati Nia, S. Salehi, J. Peeples
TPEC 2026
Fahimeh Orvati Nia, Joshua Peeples, et al.
WACV 2026 Workshop on Earth Observation
Fahimeh Orvati Nia, Hai Lin
American Control Conference (ACC), 2025
Software & Projects
Precision Plant Phenotyping, a web application that brings the plant-phenotyping data-analysis pipeline online, letting researchers and scientists run image extraction and analysis directly in the browser.
Built and deployed end to end (Vue.js, JavaScript, Python, REST API, Docker, Nginx, and AWS on Amazon EC2 with S3 storage). Live at
precisionplantphenotyping.com.
Certifications
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
