- Maryam Valian, P Das, C Brodbeck, A comparison of reliability of the Source localization methods: NCRF vs. MNE, 19th WISE ANRC, McMaster University, CA, 2026
- (Awarded) Maryam Valian, P Das, C Brodbeck, Evaluating Trial-Size, Predictor Coding and Regularization effects in NCRF models for MEG Discrete Experiments, CAS Poster competition, McMaster, CA, 2025
- A Khanteymoori, M Olyaee, O Abbaszadeh, Maryam Valian , A novel method for Bayesian networks structure learning based on Breeding Swarm algorithm, Soft Computing 22 (9), 3049-3060, 2018
- Maryam Valian, A Khanteymoori, A method for structural learning in Bayesian Networks Based on particle swarm Optimization , Proceedings of 5th National Conference on Data Mining, IR, 2011
PhD Candidate
Maryam Valian
I am Maryam Valian, a PhD Candidate at McMaster University in the Computing and Software department. My work sits at the intersection of neuroscience and computer science, with a focus on computational approaches for understanding the brain.
About
My research is dedicated to uncovering the mysteries of the brain using computational methods. I am especially interested in work that connects rigorous technical methods with meaningful scientific questions.
Alongside research, teaching has been a central part of my academic path. I enjoy making complex computer science topics more accessible, engaging, and practical for students.
Research
Publications
Teaching
Teaching experience
Selected Teaching Experience
Sessional Instructor
2024, McMaster University, CA
COMPSCI 2GA3 — Computer Architecture
2012-2020, PNU University, IR
Formal Languages and Automata
2018-2020, AZU University, IR
Computer Networks and configurations
Teaching Assistant
2026, McMaster University, CA
COMPSCI 2CA3 — Automata and Computability
2025, McMaster University, CA
SFWRENG 4CN3 — Computational Modeling for Cognitive Neuroscience
2025, McMaster University, CA
SFWRENG 4HC3 — Human Computer Inerfaces
Teaching philosophy
I care about making computer science understandable, encouraging, and intellectually rewarding. My goal is to help students build confidence while developing strong technical foundations.