Amir Hosein Asaadi

About

I'm researcher at Sharif Brain Center and currently studying decision making. I received my Master's under the supervision of Dr. Reza Ebrahimpour and Dr.S. Hamid Amiri.

I used GLMs to better understand the brain activities in high and low cognitive load while continuous multimedia is being played. My main interest is using computational methods to do model-driven research on neural data. In addition, I'm interested in developing and improving methods of analyzing neuroimaging data.

In my spare time, I enjoy watching the night sky, hiking/cycling in nature, and learning.

Bio

News

• My first article titled "Effects and prediction of cognitive load on encoding model of brain response to auditory and linguistic stimuli in educational multimedia" was published in scientific reports journal. (21 April 2024)
• I defend my master's thesis titled "The relation between brain activities and educational multimedia properties" on 2023-02-19 with Great degree

Education and teaching

Academic Qualification

• MSc in AI at shahid Rajaee University(Tehran, Iran)

  2019 - 2022 [content] Machine learning, Evolutionary computation, Stochastic process, Pattern recognition, multi-agent system, Image processing, Fuzzy systems, and Neural networks.

• B.Sc. in Computer Engineering at Sistan and Baluchestan University(Zahedan, Iran)

  2013 - 2017 [content] Minor change with the given link, the original is available on request.

Teaching Experience

• NeuromatchAcademy, a computational neuroscience crash course (teaching assistant) (15 days)

  Online course, 2022
  [content] Topics covered: Modeling practice, Model fitting, GLMs, Dimensionality reduction, Bayesian statistics, Linear dynamical systems, Markov process, Decision making, Hidden Markov models, Kalman filter, Optimal control, Markov decision process, Reinforcement learning, Modeling real neuron, Modeling neuronal networks using Wilson-Cowan model, Causality, Deep learning (with Pytorch), Autoencoders
  [course page]
  [certificate]

• Machine Learning
• Advanced Computer Programming, two times
• Computer Fundamentals and Programming, three times

Additional Education and Workshops

• Cognition and Natural Sensory Processing Initiative (CNSP) 2022-2021
• Symposium for Cognitive Auditory Neuroscience (SCAN) 2021
• 5th International Conference on cutting edge methods in clinical and cognitive neurophysiology research - CuttingEEG - 2021
• EEGLAB workshop - instructor: Ali Motie Nasrabadi
• Cognitive Neuroscience Competition Sadra 2020
• 9th Iranian Brain Mapping Congress - IHBM 2020

Skills

Analysis of continuous EEG data

I have great experience working with EEG data while studying the dynamics and topography of neural components. First I use EEGLAB and its plugins such as Clean Rawdata ASR, ICLabel, and Adjust to preprocess the data then I use the mTRF toolbox to run cross-validation and find the best temporal response function to predict real data. I have learned these by EEGLAB and CNSP workshops.

Working with fMRI and ECOG data

Publication

Manuscript titled:

• Effects and prediction of cognitive load on encoding model of brain response to auditory and linguistic stimuli in educational multimedia
• Application of machine learning techniques to classify EEG signals in subjective pleasure ratings during varying daylight illuminance conditions within VR

Help in the editing of published paper titled:

• Assessment of Instantaneous Cognitive Load Imposed by Educational Multimedia using EEG Signals

Projects