Sepand Ali Madad Soltani
Email: sepand.a.m.soltani@gmail.com | Website: https://sepandsoltani.github.io/
Education
K.N. Toosi University of Technology
Tehran, Iran
Bachelor of Science in Electrical Engineering
Anticipated in August 2023
Concentration: Electronics Engineering
GPA: 16.26/20 (Last two years: 17.29/20)
GPA 4.0 scale: 3.37 (Last two years: 3.72)
Research Interests
- Machine learning and artificial intelligence
- Neuroscience
- Biomedical Engineering
Bachelor Thesis
MedVisPy: Python-Based Medical Image Analysis Software
- Developed "MedVisPy" a Python-based medical image analysis software, from scratch utilizing Python, VTK,
and PyQt5 packages.
- Implemented a user-friendly Python console and multiple interactive tools, including a shape tool, text
tool, ruler tool, and two selection tools (polygon selection and intelligent scissor tool) for extracting
Regions of Interest (ROIs) from 3D medical images.
- Enabled users to import custom modules and plugins, extending the functionality of MedVisPy for additional
processing and actions.
- Conducted thorough testing and debugging to ensure the stability, reliability, and performance of the
software.
- Documented the software design, implementation details, and user guide to facilitate user experience.
- Developed and successfully shipped the MedVisPy software for Linux and Windows
Research Experience
Detection of Alzheimer's Disease Patients using Deep Neural Network based on fMRI Functional
Connectivity
Summer 2022 (Ongoing)
- Studied the previous works on this subjects for finding the gap (Still early stages of the project)
- Preproccesed the raw fMRI data using the FSL library
Skills
- Programming Language: Python, C++, MATLAB, VHDL, AVR C
- Software: PSpice, Proteus design suite, Altium Designer, FMRIB FSL library, PyQt, Visualization
Toolkit (VTK)
- Hardware: Arduino, Various wireless communication modules (BLE, RF, GSM, IR and ESP8266)
- Language: Persian(Native), English(Fluent), French(Intermediate-A2)
- Online Courses and Certificates: Certificate of MATLAB from Sharif University, Certificate
of Altium Designer from K.N. Toosi University of Technology
Academic Projects
Automated fMRI Preprocessing and Timeseries Extraction Pipeline for Large Datasets using FSL in Python
Summer 2022
- Implemented brain extraction from structural reference MR image
- Implemented fMRI preprocessing including motion correction,slice timing correction,spatial smoothing and
co-registration
- Implemented ROI timeseries extraction based on any atlases
- Implemented multiprocessing for all steps
Tetris AI bot using Deep Reinforcement Learning
Summer 2022 (Ongoing)
- Developed the game from scratch using C++
- Created a custom C++ to Python API for the game using Pybind11 library
- Developed a Deep Q learning agent for training the AI 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++
- Added game functionalities, menus and text rendering capabilities to the engine
- Designed and implemented the game of Tetris using the said engine in Object Oriented C++
Implementation of Synthesizable A* Search Algorithm in FPGA-VHDL
Spring 2021
- Developed a synthesizable VHDL code for A* algorithm capable of solving any 10x10 mazes
- Developed a python script for generating random mazes
- Simulated and tested the algorithm for solving random mazes using VHDL test bench
Smart Temperature Detection PCB Circuit Design
Summer 2020
- Designed circuit schematic and PCB layout using Altium designer
(Key components: ATMEGA64 and SIM800C)
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
ETS, University of Quebec
Montreal, Canada
Remote Research Assistant Internship
Winter 2022
- Assisted in a project aiming to predict multiple cognitive traits and performances based on EEG
using Deep Convolutional Neural Networks
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)