RedHawks Cyber Research is my research team dedicated to research-based initiatives in the field of cybersecurity. Our team caters to cybersecurity holistically. I serve as the lead researcher for this initiative alongside a group of talented individuals.
Leveraging NLP and state-of-the-art machine learning techniques to detect and mitigate phishing email threats.
Comprehensive activity analysis of public financial mobile applications to identify security vulnerabilities.
Developing a machine learning-powered framework for detecting DDoS attacks in IoT device networks.
Meet my incredible RedHawks team, where we collaboratively explore diverse security techniques, tactics, and professional practices in the field of cybersecurity, while also honing our skills to tackle CTFs more effectively. Our focus lies in advancing security research, both in foundational principles and the application of technology to address complex cybersecurity challenges.
The undergraduate thesis project focuses on developing a server-based system to accurately measure and control the position and angle of a DC motor. The research involves hardware schematic design, user interface development, JSON data parsing for calculations, and real-time communication between the server and the machine.
Created a Python (Flask) based receiving and processing server to handle data from the motor controller. The server effectively processed incoming data, providing accurate position and angle measurements. Notably, the system allowed dynamic adjustments to be made to these values, enabling real-time control and interaction with the motor controller.
Supervised by Prof. Dr. Golam Sarowar