About Me

About Me

I’m Fahimeh Orvati Nia, a PhD student in Computer Engineering at Texas A&M University, where I specialize in artificial intelligence, computer vision, and machine learning. My journey in academia has been driven by a deep passion for using cutting-edge technology to solve real-world challenges.

My Current Work

Currently, my research focuses on:

  • Image Processing and Computer Vision: I am working on innovative techniques for plant growth and phenotyping, leveraging advanced AI models to analyze and predict plant development patterns.
  • Generative AI: I explore applications of generative adversarial networks (GANs) for anomaly detection and data generation tasks.
  • Graph Neural Networks: My previous work includes developing GNN-based systems for pedestrian intention prediction, with applications in smart cities and autonomous systems.

My Background

I completed my Master of Science in Electrical Engineering at the University of Notre Dame, where I delved into:

  • Building GAN-based systems for detecting anomalies in time-series data.
  • Applying graph neural networks for predictive modeling in human behavior.

Prior to that, I earned my Bachelor of Science in Electrical Engineering (Control) from Amirkabir University of Technology, where I gained a strong foundation in systems modeling and control theory.

Skills & Expertise

Here are some of the areas where I excel:

  • Programming: Python, MATLAB, TensorFlow, PyTorch, C++.
  • AI & Machine Learning: Generative AI, Graph Neural Networks, Deep Learning Models.
  • Embedded Systems: Raspberry Pi, STM32, Arduino.
  • Computer Vision Tools: OpenCV, image preprocessing, and feature extraction.

Beyond Research

Outside of academics, I enjoy:

  • Collaborating with interdisciplinary teams to tackle complex problems.
  • Teaching and Mentoring: Sharing knowledge and empowering others to explore the fascinating world of AI.
  • Exploring New Ideas: I am always curious about integrating technology into fields like public health, neuroscience, and robotics.

Why I Do What I Do

I believe that technology is a tool for empowerment, and I am committed to using my skills to make a positive impact in the world. Whether it’s improving agricultural systems, enhancing public safety, or advancing medical research, my goal is to bridge the gap between innovation and application.

Connect with Me

If you’re interested in learning more about my work or collaborating, feel free to reach out: