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Sepand AliMadadSoltani

Villeurbanne, France | +33 (0)6 49 55 25 42
sepand.alimadadsoltani@etu.univ-lyon1.fr | https://sepandsoltani.github.io

Education

University of Claude Bernard, Lyon 1 Lyon, France
Master II in Medical Device Engineering Fall 2024-Ongoing
10,000€ Excellence Scholarship Recipient; Awarded for Excellent Academic Background

K.N. Toosi University of Technology Tehran, Iran
4 Year Bachelor of Science in Electrical Engineering 2018-2023
Concentration: Biomedical Engineering
GPA: 16.33/20 (Last two years: 17.29/20)

Research Interests

• Machine learning and Artificial Intelligence in Health
• MRI
• Neuroimaging
• 3D Rendering and Visualization in Medical Applications

Bachelor Thesis

MedVisPy: Python-Based Medical Image Analysis Software with an Interactive Tissue Boundary Segmentation Tool Spring-Summer 2023

• Developed "MedVisPy", a Python-based medical image analysis software, from scratch utilizing Python, VTK, and PyQt libraries
• Demonstrated proficiency in utilizing VTK for advanced visualization and manipulation of medical images
• Implemented multiple interactive tools (ruler, shapes, and text insertion tools)
• Developed an image processing algorithm for tissue boundary detection and integrated it in a smart interactive scissor tool for fast semi-automatic tissue segmentation
• Enabled users to import custom plugins to extend the functionality of the software based on their needs
• Successfully shipped the software for Linux and Windows operating systems

Skills

• Programming Language: Python, C++, MATLAB, QML, CMake, Bash
• Software and Tools: Tensorflow, FMRIB FSL, GNU/Linux, Git, Qt Framework, Visualization Toolkit (VTK)
• Language: Persian (Native), English (TOEFL: Overall: 101/120, R: 27, L:27, S:23, R:24), French (Beginner-A2)

Academic Projects

Image-based Persian and English Character Sequence Recognition using Recurrent Convolutional Neural Networks(RCNN) Winter 2023

• Implemented the network based on a paper using the Tensorflow library in Python
• Synthesized images of Persian text of different variety
• Applied data augmentation techniques such as rotating, translating, adding distortion, and adding noise to images
• Successfully trained the model for both languages using the self-made synthesized Persian dataset and public English datasets
• Achieved +85% accuracy for both languages

Exploring Possibility of Alzheimer's Disease Detection using Deep Neural Network based on fMRI Functional Connectivity Maps and Time-series Data Fall 2022-Winter 2023

• Pre-processed and processed raw fMRI and MRI data from the ADNI database using the FSL library to extract time-series data to calculate functional connectivity maps of the subjects' brains
• Studied the previous works on this subject to find the gap
• Experimented with RCNN & CNN networks using Tensorflow to extract temporal and spatial features from images
• Gained hands-on experience with image pre-processing, neural network architecture, and deep learning principles
• Although a full model was not achieved, a lot of experience and insight were gained into medical imaging and deep learning concepts deep learning concepts

Automated fMRI Pre-processing and Time-series Extraction Pipeline for Large Datasets using FSL in Python Summer 2022

• Implemented brain extraction from structural reference MR image
• Implemented fMRI pre-processing including motion correction, slice timing correction, spatial smoothing, and co-registration
• Implemented atlas-based ROI time-series extraction
• Enabled parallel processing to accelerate computation for large datasets
• Utilized the program for processing fMRI data from the ADNI dataset

Tetris player bot using Deep Reinforcement Learning Summer 2022

• Developed the game from scratch using C++
• Created a custom C++ to Python API for the game using the Pybind11 library
• Developed a Deep Q learning agent for training the AI player to learn how to play the game

The Game of Tetris with a Custom Game Engine Using OpenGL in C++ Spring 2022

• Developed a custom 2D graphics renderer completely from scratch using the OpenGL graphics API in C++
• Implemented user input handling, navigatable menus, and text rendering capabilities to the engine
• Designed and implemented the game of Tetris using the said engine in Object Oriented C++

Calculating the Magnetic Field Caused by a Spherical Solenoid Winter 2019

• Derived the formula for the magnetic field caused by a spherical solenoid
• Calculated and graphed the magnetic field on multiple plates
• Integrated the graphs and the calculator in a custom GUI developed using MATLAB App Designer

Work Experience

TECVICO Vancouver, Canada (Remote)
Medical Image Visualization Software (Freelance Project) Summer 2023

• Created a Python-based medical analysis software focusing on user-friendliness and user experience
• Designed and implemented a workflow user interface for bioinformatics analysis and processing using the Qt framework
• Worked with a team of engineers to integrate various machine learning algorithms into the workflow
• Designed and integrated a medical image visualizer using VTK
• Integrated multiple visualization tools and pipelines such as colormaps, image thresholding and interactive segmentation

Razeq Co. Tehran, Iran
Electronics Engineer Internship Summer 2021

• Researched the design and development process of a parametric speaker (directional speaker) and examined the feasibility of manufacturing it
• Implemented smart presence detection and remote-control support for the monitor stand in Valiasr Street Museum
• Developed and assembled various hardware for installation in Iran's pavilion in Dubai Expo 2020 (Electric control panel, wiring, lighting and presence detection system)