Publications

Published Samriddhi Matharu, Maryam Khazaei. A Data-Driven Analysis of Traffic Patterns in Downtown San Jose, California IEEE 13th Conference on Technologies for Sustainability, USA, 2026.

Published Amith Kamath Belman, Maryam Khazaei, Melody Moh. Adopting AI in Computing-Based Interdisciplinary Curricula for Workforce Readiness IEEE 5th Cyber Awareness and Research Symposium (CARS), USA, 2025.
Published Maryam Khazaei, Chirag Rudresh. Multi-Agent Path Planning and Optimization using Q-learning IEEE 8th International Conference on Intelligent Robotics and Control Engineering, 2025.
Published Maryam Khazaei, Matthew Morozov, Marcelo Kallmann. , Multi-Agent Lane Optimization in Cluttered Environments. ” IEEE Mechatronics & Robotics Engineering, France, 2025.

Published Maryam Khazaei, Matthew Morozov, Marcelo Kallmann. “ Optimizing Curvature and Clearance of Piecewise Bézier Paths.” IEEE International Conference on Control, Mechatronics and Automation (ICCMA), 2023.

Published Maryam Khazaei, Carlos Diaz Alvarenga, Marcelo Kallmann. “ Path Smoothing with Deterministic Shortcuts.” 2022 Sixth IEEE International Conference on Robotic Computing (IRC), December 2022.
Published Maryam Khazaei, Carlos Diaz Alvarenga, Marcelo Kallmann. “Deterministic Path Optimization in 2D.” 2022 IEEE 18th International Conference on Automation Science and Engineering, May 2022.
Published Maryam Khazaei, Lori Lewis. “A Review on Higher-Order Spline Techniques for Solving Burgers Equation Using Variation of B-Spline Techniques.” Advances in Applied and Engineering Mathematics Conference, August 2022.

Published Maryam Khazaei, Yeganeh Karamipour. “Numerical Solution of the Seventh Order Boundary Value Problems Using B-Spline Method.” Journal of Applied Mathematics and Physics, December 2021.

Published Maryam Khazaei, Jalil Rashidinia, Hassan Nikmarvani. “Spline Collocation Method for Solution of Higher Order Linear Boundary Value Problems.” TWMS Journal of Pure and Applied Mathematics, V.6, N.1, 2015, pp.38–47.

Research & Industry Experience

Coordinator for Advanced AI Certificate; Research Internship Advisor , SJSU Research Foundation Corporation - January 2025 to present
Vehicle Diagnostics Engineer, Rivian Automotive, Palo Alto, CA - May 2023 to August 2023
Doctoral Research Assistant, University of California, Merced - 2019 to November 2023
Student Supervision, Advised 6 graduate students and 6 undergraduate students on AI research and industry internship projects, SJSU - September 2024 - present

Multi-Agent Navigation & Path Planning - SJSU & UC Merced, 2019–2025
Led research on robot navigation and motion planning, resulting in 4+ IEEE publications. Developed and evaluated classical (RRT, Bezier curves, convex optimization) and learning-based approaches for collision-free and efficient multi-agent systems. Designed simulation-based evaluation pipelines with potential for sim-to-real transfer in robotic environments.
Machine Learning for Healthcare - SJSU, 2024–2025
Conducted statistical analysis and machine learning research on lung adenocarcinoma, Alzheimer’s disease, and heart disease datasets. Developed predictive models to support interpretable clinical risk assessment and healthcare decision-making.
Traffic & Environmental Analytics - SJSU, 2025
Developed machine learning models for traffic congestion analysis, urban pollution assessment, and disease prediction. Applied XGBoost, LightGBM, and interpretable analytics to generate data-driven insights.
Machine Learning, NLP & AI Projects - SJSU, 2025–2026
Supervised and mentored 10 undergraduate students on projects involving machine learning, reinforcement learning, natural language processing, artificial intelligence, and data analytics. Developed predictive systems and applied quantitative research methods to large-scale datasets for real-world applications.