With a background in computer science and cognitive sciences, I am currently conducting research in cognitive neuroscience, focusing on applying machine learning to mental health. I am seeking a PhD position to further develop innovative technologies in this field.
Master of Science in Cognitive Sciences
Institute for Cognitive Science StudiesGrade Average: 17.56/20
Thesis: Investigating Neural Signatures of Attentional Lapses in Awake Electroencephalography
Bachelor of Science in Computer Science
University of TehranGrade Average: 18.83/20
Thesis: Predicting Stress in Everyday Life Using Wearables and Machine Learning
Teacher Assistant
University of TehranCourse: Data Structures and Algorithms
Role: Helping students understand course material and grading assignments
Level: Bachelor's (Computer Science)
Python, MATLAB
EEG, ECG, fMRI, Behavioural
SPSS, R Studio
TensorFlow, Scikit-learn, PyTorch
OpenSesame
1. Jackson, M., & Taylor, E. (2018). To sing or not to sing? An open-source Python library to predict singing talent in children. Journal of Open Singers. https://doi.org/12.3456/78910
2. Jackson, M., & Houston, W. (in preparation). A systematic review of literature on using optical-based wearables to investigate stress in everyday life
Academic Distinction
Institute for Cognitive Science StudiesAchieved an A grade average, placing in the top 5% throughout my Master's program
Full Tuition Scholarship
University of TehranGranted for academic excellence throughout the Bachelor's program, covering all tuition expenses
Elite National Entrance Rank
Issued by National Organisation of Educational TestingAchieved 25th place among over 500,000 candidates in the Iranian nationwide undergraduate entrance examination
Enhancement of Cognitive Function Through Neurofeedback Training
Ferdowsi University of MashhadTopic: Investigating the Effectiveness of Real-time Neurofeedback Systems in Improving Attention and Cognitive Performance Using EEG Technology
15th International Conference on Advances in Biomedical Methods
Poster PresentationTopic: Preliminary Results of a New Technique for Artifact Removal in Photoplethysmography Heart Rate Sensors
Workshop: Mathematical Methods for Signal Processing
Iran University of Science and TechnologyTopics such as modern digital signal processing techniques, spectral estimation, the discrete Fourier transform, and various classical and advanced spectral estimates were covered
Course: Python for Data Science and Machine Learning Bootcamp
UdemyLibraries such as NumPy, Pandas, Matplotlib, Seaborn, SciPy, Scikit-learn, TensorFlow, Keras, Plotly, and PyTorch were covered
IELTS: 7.5