Tomsk, Russia
Salif Kanté
Research Engineer — Applied AI & Electromagnetic Compatibility
Engineer in the Department of Television and Control at TUSUR University, working between applied machine learning and computational electromagnetics — and building the web platforms that make those methods usable.
Read moreAbout
Background
I was born and raised in Bamako, Mali. From 2017 to 2022 I studied in Tunisia, completing an undergraduate degree in computer science followed by a master’s degree in data science and engineering.
I began with C and Java before moving into web and AI technologies. During my studies I completed several professional internships and contributed to production projects in Tunisia; between 2022 and 2023 I taught programming to students at private universities in Mali.
In late 2023 I moved to Tomsk, Russia. I now work as an engineer in the Department of Television and Control at TUSUR University, in the Fundamental Research on Electromagnetic Compatibility laboratory, alongside doctoral work in artificial intelligence and machine learning.
My work sits between applied machine learning and computational electromagnetics: deep-learning tools for antenna current prediction, hybrid semi-analytical methods for enclosure shielding, and distributed platforms for electromagnetic modelling and simulation.
Position
Affiliation
- Position
- Engineer — Department of Television and Control
- University
- Tomsk State University of Control Systems and Radioelectronics (TUSUR)
- Research laboratory
- Fundamental Research on Electromagnetic Compatibility
- Doctoral work
- Artificial intelligence and machine learning
- Based in
- Tomsk, Russia
Research
Publications & conferences
Papers presented at Russian and international scientific meetings.
- Tomsk, Russia
Hybrid semi-analytical method for evaluating the shielding effectiveness of enclosures, based on the equivalent-circuit method and modified nodal analysis
Scientific Session of TUSUR
Original title: Гибридный полуаналитический метод оценки эффективности экранирования корпусов на основе метода эквивалентных схем и модифицированного метода узловых потенциалов
- Saint Petersburg, Russia
Hybrid semi-analytical method for analyzing the effectiveness of enclosure shielding, combining equivalent circuits and modified nodal analysis
XIV Congress of Young Scientists, ITMO University
- Tomsk, Russia
Distributed web-based platform for EM modeling and simulation
Scientific Session of TUSUR
- Saint Petersburg, Russia
A deep learning-based tool for dipole antenna current prediction and visualization
XIV Congress of Young Scientists, ITMO University
Co-authored preprint
Ninth author, through the IA Mali research community.
Read on arXiv(arXiv:2506.02443)Work
Selected projects
Applications and interfaces built during studies, internships and teaching.
Web interfaces & sites
HTML · CSS · Bootstrap · JavaScript · jQuery · React
Django applications
Python · Django
MERN applications
MongoDB · Express · React · Node.js
Laravel applications
PHP · Laravel
Machine learning & model deployment
Python · Machine learning · Flask · Streamlit
Skills
Technical practice
Technologies used in research, teaching and delivered projects.
Programming languages
- Python
- JavaScript
- PHP
- Java
- C
- C++
- SQL
- HTML
- CSS
Machine learning
- TensorFlow
- Deep learning
- Machine learning with Python
- Spark MLlib
Big data
- Hadoop
- Hive
- Apache Spark
- Beeline
- Cloud storage clusters
Web development
- React
- Next.js
- Node.js
- Express
- MongoDB
- Django
- Laravel
- Flask
- Streamlit
- Bootstrap
- jQuery
Cloud & tooling
- AWS
- Git
- Vercel
Research methods
- Electromagnetic compatibility
- Equivalent-circuit method
- Modified nodal analysis
- Enclosure shielding analysis
- Antenna current prediction
Credentials
Certifications, communities & languages
Certifications
CDOSS
- Big Data Analytics with Hive Query Language and Beeline
- Managing Big Data in a Hadoop Cluster
- Hadoop Cluster Installation and Administration
- Machine Learning with Spark
- Machine Learning with Python
- Deep Learning with Python
Coursera
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
- Analyzing Big Data with SQL
- Managing Big Data in Clusters and Cloud Storage
- AWS Cloud Technical Essentials
Contact
Get in touch
Open to research collaboration and to contributing to serious technology projects.