Hesam Akbari
Teaching Fellow
University of North Texas
Department of Information Science
Email: Hesam.Akbari@unt.edu
Teaching
Teaching Experience
- DTSC 3020 - Introduction to Computation with Python, 1 course.
- INFO 4670 - Data Analysis and Knowledge Discovery, 1 course.
University of North Texas
Research
Published Intellectual Contributions
- Akbari, H., Sadiq, M.T., Siuly, S., Li, Y., Wen, P. (2021). An Automatic Scheme with Diagnostic Index for Identification of Normal and Depression EEG Signals. Lecture Notes in Computer Science. 59-70. Springer International Publishing. https://doi.org/10.1007/978-3-030-90885-0_6
- Akbari, H., Korani, W., Ding, J., Rostami, R., Kazemi, R. (2024). TOP-EEG: a robust software to predict the outcomes of therapies for depression using EEG signals in DGMD domain. International Conference on Neural Information Processing (ICONIP2024).
- Akbari, H., Korani, W., Ding, J., Rostami, R., Kazemi, R. (2024). UNT-AT: A Robust Software to Predict the Outcome of Depression Therapies Using EEG Signals. International Conference on Neural Information Processing (ICONIP2024).