Hello! I'm
Atick Faisal
I'm a Data Scientist, Computer Vision Researcher, and Software Developer
passionate about turning data and algorithms into impactful real-world solutions.
I currently work as a Data Scientist at Iberdrola and am pursuing a Ph.D. in Computer
Vision at Qatar University.
I hold both an M.Sc. and a B.Sc. in Electrical and Electronic Engineering from the
University of Dhaka, Bangladesh. My interests span data science, computer vision,
Android development, CI/CD automation, and embedded systems.
Projects
I am a robotics enthusiast and a native Android developer (Kotlin, Java) with experience in modern architectural components and MVVM design pattern. I have developed several mobile applications to communicate with IoT devices via Bluetooth, BLE, HTTP and MQTT protocols. I also have experience in design and deployment of Machine Learning based solutions for IoT devices.
Explore on GitHub
12V Solar Charge Controller PCB Design
A PCB design for solar charge controller with overcharging and overdischarging protection
PIC16F877A Programming and Interfacing
Implementation of different functionalities and interfacing using PIC16F877A microcontroller
SPWM Signal Generator using Arduino
Pure sine wave generation using SPWM technique for power inverter design with Arduino
Automatic I/V Dispenser Hardware
ESP32 Code for an automatic I/V dispenser framework targeted towards burn patients
Encryption Algorithms Implementation
Multiple symmetric encryption algorithm implementation in C and Kotlin.
Dynamic Programing Algorithms Implementation
Solving some competitive programming problems with Dynamic Programing and Kotlin
Logistic Regression Implementation in Plain C
Logistic Regression Classifier implementation in plain C to classify different iris flower variants
Publications
My research focuses on applying machine learning and deep learning techniques to solve real-world problems in healthcare, robotics, and IoT systems. I have published papers in reputable conferences and journals, exploring topics such as fall detection, gait analysis, and sensor-based human activity recognition.
View Publications