Amir Hosein Asaadi

About

I am reciving my Master Shaheed Rajaee university(Tehran, Iran), and currently doing neuroimaging research under the supervision of Dr. Reza Ebrahimpour and Dr.S. Hamid Amiri.

I use GLMs to better understand the brain activities in high and low cognitive load while continues multimedia is being played. My main interest is using computational method to do model-driven research on neural data. In addition, I'm intrested in develping and improving methods of analayzing neuroimaging data.

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

About
Bio
Education and teaching
Skills
Publication
Projects
CV

asaadi.amir [at] gmail [dot] com
twitter

Bio

See my English/Persian blog.

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, and Fuzzy sytesm, 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 availbe 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
5ft 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 continues EEG data

I have great experience working with EEG data while studying the dynamic 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 mTRF toolbox to run cross validation and finding best temporal response function to predict real data. I have learned these by EEGLAB and CNSP workshops.

Working with fMRI and ECOG data

In Neuromatch Academy summer school I had chance to do projecs with an International teams and TAs, We have had team work together, to learn a little about litreture and special concesrs about each kind of data, then load them in Google Colab and try to look and model them with tools such as MNE-Python and scikit-learn.

Publication

Manuscript titled:

Effects of cognitive load on encoding model of brain response to auditory and linguistic stimuli in educational multimedia

Help in editing of published paper titled:

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

Projects

Title	Supervisor(s)	Stage	Methods
Effect of cognitive load on Audio Envelope and Word Frequency	Dr. Reza Ebrahimpour Dr. S. Hamid Amiri Dr. Alireza Bosagh Zadeh	manuscript in preparation	EEGLAB, mTRF toolbox
Effect of cognitive load on Semantic Dissimilarity, try multivariate and decoding models.	Dr. Reza Ebrahimpour Dr. S. Hamid Amiri Dr. Alireza Bosaghzadeh	doing analysis	EEGLAB, mTRF toolbox
Comparing cortical brain activity from real and imaginary movements of hand (Miler dataset - ECOG)	Dr. Vladimir Litvak Dr. Samuel Zibman Mohammad Rabiei	presented in NMA	MNE python
Predicting activities of V4 area from natural images. (Kay dataset - fMRI)	Dr. Ehsan Rezayat Raul Hernandez	presented in NMA	scikit learn
Persian hand written digits recognition using machine learning and deep learning tools	Dr. Reza Ebrahimpour	Passed	python
Bachelor finial project: Making an educational multimedia and a hand book for python in Persian	Dr. Samira Noferesti	Published	Latex, Making educational multimedia
Online library management system	maktabkhooneh.org	Passed	Django