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a Physics graduate student at Osaka University with a deep interest in intersection of Quantum Computing and Machine learning.

🎓 Education

Osaka University (2023-Present): Currently a Master Student (M.S.) in Physics.

Osaka University (2019-2023): Completed a Bachelor of Science (B.S.) in Physics.

Tokyo University of Foreign Studies (2018-2019): Completed an intensive one-year Japanese language program at Japanese Language Center for International Students (JLC).

🏢 Professional Work

PaMeLa Co., Ltd. (2021/8-2024/3): Worked on developing deep learning algorithms for EEG-based pain evaluation.

Kishiwada City Board of Education (2020): Worked as a Persian-Japanese interpreter for secondary schools in Kishiwada City, Osaka perfecture , Japan.

Ehsan Alizadeh Kashtiban's Projects

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

autodot icon autodot

Machine learning enables completely automatic tuning of a quantum device faster than human experts

b1530a_control icon b1530a_control

C++ script to control WGFMU module from Keysight B1500 semiconductor device parameter analyzer

customtkinter icon customtkinter

A modern and customizable python UI-library based on Tkinter

deeplabcut icon deeplabcut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

deeplsd icon deeplsd

Implementation of the paper "DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients"

deepxde icon deepxde

A library for scientific machine learning and physics-informed learning

documentation icon documentation

The documentation content home for https://docs.quantum.ibm.com.

eeg-transformer icon eeg-transformer

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

gymnasium icon gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

models icon models

Models and examples built with TensorFlow

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