Parsa Nooralinejad



I'm a PhD student at the University of California-Davis working with Dr. Hamed Pirsiavash. My PhD focuses on Machine Learning, specially computer vision.

Computer Engineer, ML Researcher, & Software Developer.

Here are some basic info about me:

  • Full Name: Parsa Nooralinejad Eslamloo
  • Advisor: Dr. Hamed Pirsiavash
  • City: Davis, CA, USA
  • Degree: Ph.D.
  • Email:


C/C++ 97%
Java 85%
Javascript 80%
GoLang 75%
php 75%
HTML 100%
CSS 85%
React Native 75%
ReactJS 85%
NodeJS 75%
TensorFlow 80%
PyTorch 90%
NumPy 85%
Pandas 55%
DJango 85%
SQL 75%
Verilog 75%
ESP chips 85%
AVR microcontrollers 85%
FPGAs 65%



Parsa Nooralinejad

Currently, PhD student at the University of California-Davis, working with Dr. Hamed Pirsiavash. My expertise lies with in Applied Machine Learning algorithm design for multi agent, self-supervised, few shot, active, and continual learning with focus on computer vision.

  • Davis, CA


Ph.D. of Computer Science

2022 - Present

University of California-Davis, Davis, CA

Transferred with my advisor, I started my research on multi-agent continual learning in UCD.

Ph.D. of Computer Science

2021 - 2022

University of Maryland-Baltimore County, Baltimore, MD

Started my work with Dr. Pirsiavash in the field of computer vision on Self-Supervised and Low-budget active learning. I studied at the UMBC for one year before I transferred to UCD with my advisor.


2008 - 2015

Allame Helli Highschool (NODET), Tehran, IR

Professional Experience

Graduate Assistant

2022 - Present

UCD, Davis, CA

  • Teaching Assistant for ECS271 (Machine Learning and Discovery)
  • Research Assistant in UCDVision lab.

Research Intern

Jun 2022 - Sep 2022

Apple Inc, Seattle, WA

  • Summer Internship in Apple AI/ML team
  • Worked on a project to boost Vision Transformers Performance

Graduate Assitant

2021 - 2022

University of Maryland-Baltimore County, Baltimore, MD

  • Teaching Assisntant for Data Structure course
  • Teaching Assisntant for Artificial Intelligence Course
  • Teaching Assisntant for Discrete Mathematics Course
  • Research Assisntant for UMBC Vision Lab, Under Dr H Pirsiavash


2015 - 2020

Tehran, IR

  • Worked on several websites for different companies
  • Marketing specialist in Behshafa company
  • Designed and implemented Web-based attendance and inventory software
  • Designed and implemented wifi based cctv system using esp32 micro computers


Here are some of my publications

PRANC: Pseudo RAndom Networks for Compacting deep models

ICCV 2023

Sparsity and heterogeneous dropout for continual learning in the null space of neural activations


NOLA: Networks as Linear Combination of Low Rank Random Basis


BrainWash: A Poisoning Attack to Forget in Continual Learning

CVPR 2024

A simple baseline for low-budget active learning


TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training



I work from home most of the time but on campus, you can find me here:


Academic Surge, Room 2078, UC Davis, Davis, CA 95616