Arshia Ilaty

• Developed a comprehensive evaluation framework for synthetic healthcare data across diverse dimensions: bias and fairness, diversity, quality, privacy, and machine learning (ML) usability, ensuring robust performance across metrics
• Conducted empirical evaluations using GANs, Auto-variational encoder, diffusion-based models, Recurrent neural network, and transformer-based models for synthetic data generation

• Program and develop novel Android/IOS application in the Flutter platform for high-resolution imaging in open-pit mines using drones GitHub Link
• Use socket programming to build and release a mobile application to localize people during a disaster in order to guide them to a safety zone
• Develop a database schema and integrated it with the API server using MongoDB for data storage
• Collaborate with the UI/UX designer and bridge the gap between UI/UX design and technical implementation

• Conducted in-depth data analysis, utilizing data wrangling, cleaning, and manipulation techniques to generate meaningful insights
• Created visually compelling data visualizations using Tableau and Matplotlib to communicate research findings to stakeholders and team members
• Researched and gained a deep understanding of data modeling and data warehousing concepts and explored cutting-edge big data technologies such as Hadoop and Spark
• Utilized version control systems such as Git to effectively collaborate with team members and maintain organization and accuracy in research projects

COVID-19 Prediction using Machine Learning

I developed a machine learning-based prediction model for COVID-19 using the Johns Hopkins University Center for Systems Science and Engineering dataset. Using Python and deep learning techniques such as RNN and LSTM, I built a prediction model that could forecast the number of COVID-19 cases, deaths, and recoveries for different regions around the world GitHub Link

Twitter Watch

Built a system that tracks tweets and replies of some specific accounts from a specific date onwards and extracts some information. I used REST APIs to provide information about the accounts, including the conversation threads, active audiences, and sentiment analysis

Telco Customer Churn (IBM)

Executed end-to-end machine learning on the Telco Customer Churn dataset, involving data cleaning, visualization, and categorical-to-numeric transformation. Assessed six machine learning algorithms, optimizing the Gradient Boosting Classifier for an 80% accuracy, 6% higher than the baseline. Emphasized the iterative nature of the process, adapting to evolving problem dynamics.

Spearheaded the design and implementation of a comprehensive Fake News Detection System

Utilizing machine learning techniques and social network analysis to assess the credibility of media posts on social media platforms. Developed modules for text analysis, URL consistency checks, and network analysis, enhancing the system's ability to identify and mitigate the spread of misinformation.

More

Implemented Time Series Data analysis using recurrent neural networks (RNNs) in both PyTorch and TensorFlow frameworks. Explored patterns like seasonality and cycles present in time series data, vital in fields like finance, economics, and weather forecasting. Utilized TensorFlow's tf.keras.layers.RNN API, employing various RNN cell types (Basic RNN, LSTM, GRU) for sequential data analysis. Demonstrated stock price prediction using Google Colaboratory, showcasing real-time series data analysis.

Developed an AutoEncoder-based anomaly detection model for Google Ads time-series data, minimizing downtime. Established role-based alerts for on-call engineers to enhance response efficiency.

Developed and implemented a machine learning solution to detect and flag potential bot accounts on social media platforms, addressing deep class imbalance through oversampling and intelligent batching strategies, and evaluating model performance based on metrics such as accuracy, false positives, false negatives, and fairness across groups.

• Farama-Foundation/Gymnasium
• LibCEED
• MOLE

University of California, Irvine

• COMPSCI 189 - Project in Bioinformatics - Dr. J. Zhang - Spring 2026
• COMPSCI 257 - Brain-Inspired Computing - Dr. Mohsem Imani - Winter 2025

San Diego State University

• CS 150 - Introductory Computer Programming (JAVA) - Fall 2024 - 4 Sections (Over 100 Students)
• CS 160 - Intermediate Computer Programming - Fall 2024

University of Nevada, Reno College of Engineering

• CPE 201 - Digital Design - Fall 2023 - 3 Sections (Over 75 Students)
• CS 447-677 - Analysis of Algorithms - Dr. Monica Nicolescu - Fall 20222 and Spring 2023 - Over 120 Students (Core Course)

University of Tabriz, Iran

• Computer Communication Networks
• Computer Networks Lab

• Secured competitive funding from ZIP Launchpad at SDSU by identifying a critical market gap in pet health monitoring and waste management. Led development of AI-powered robotics system that automates waste collection while extracting health insights, creating a solution for 90.5 million U.S. households with pets and addressing $1.5B market opportunity.
• Solved detection accuracy problems in variable lighting and weather conditions by implementing a computer vision system. The engineering approach incorporated thermal imaging and multispectral analysis to achieve 98% detection accuracy across day/night conditions, enabling reliable %waste identification regardless of environmental factors.
• Addressed pet owners' inability to monitor health indicators by designing an IoT platform with cloud analytics for remote diagnostics. System processes waste composition data to detect early signs of health issues, successfully identifying markers for diabetes, kidney disease, and digestive disorders, with 92% sensitivity providing critical early warning capabilities for preventative veterinary care.

• 1. Reviewer, IEEE Conference on Cognitive Machine Intelligence (CogMI) 2025
• 2. Reviewer, ACM/IEEE Conference on Human Aspects of Software Engineering (CHASE) 2025
• 3. Reviewer, GenAI4Health NeurIPS 2025
• 4. Researcher at Oregon State University under Dr. Bahman Abbasi's Supervision
  • Gain hands-on research experience in model predictive controls and machine learning within thermal fluids sciences.
  • Explore the mathematical foundations of machine learning approaches and contribute to optimizing algorithm performance parameters.
• 5. Data Collector for the Human-Computer Interaction Lab at UNR
• 6. Serve as a Nevada Undergraduate Research Award (NURA) Reviewer, applying criteria aligned with NSF rubrics to rigorously evaluate research proposals, assess project viability, and allocate funding to innovative research endeavors, ensuring impactful contributions to academic and scientific advancements

• [2025] James & Mary Crouch Memorial Scholarship (SDSU)
• [2024] Presidential Research Fellowship (UCI/SDSU)
• [2023] Outstanding International Graduate Student Scholarship
• [2023] WAAIME Scholarship winner
• [2023] Graduate Students Association Travel Award
• [2017] Ranked within the top 1% among more than 295.000 students in the nationwide university entrance exam for B.S degree

• Data Analysis with Python
• Google Data Analytics Capstone: Complete a Case Study
• Text Mining and Analytics
• Data Visualization with Python

• Cisco Certified Network Associate (CCNA)
• Cisco Certified Network Professional (CCNP)

• MikroTik Certified Network Associate (MTCNA)
• MikroTik Certified Routing Engineer (MTCRE)
• MikroTik Certified Traffic Control Engineer (MTCTCE)
• MikroTik Certified User Management Engineer (MTCUME)
• MikroTik Certified Wireless Engineer (MTCWE)
• MikroTik Certified IPv6 Engineer (MTCIPv6E)

• Member of Aztec Robotics
• Member of the SDSU ACM Club
• Member of SIAM (Society for Industrial and Applied Mathematics)
• Member of SDSU AI CLUB - SDSU
• Member of the Society for Mining, Metallurgy, and Exploration(SME)
• President of the Mountaineering Club
• Treasurer of the Iranian Association Club
• Member of the Cybersecurity Club
• Member of the UNR ACM Club
• Member of the UNR 3D Printing Club
• Member of the John Mackay Club
• Member of the International Student Organization
• Member of the UNR Tennis Club