As the Club Administrator, I am responsible for managing AI-based projects, facilitating the collaboration and learning of the members, preparing the club for public events at the university, and handling administrative tasks.

Core Team Member of The AI Club Of SASTRA.

This internship encompassed a comprehensive study of PUF technology, from theoretical foundations to practical implementation. The work involved designing and implementing multiple PUF variants on FPGA platforms, including the Zedboard and Pynq-Z2. A rigorous evaluation process was conducted, collecting and analyzing large datasets of Challenge-Response Pairs (CRPs) to assess PUF performance. The project also delved into machine learning techniques to test the resilience of PUF designs against modeling attacks. Furthermore, a novel hybrid PUF design was proposed, integrating multiple PUF types with challenge obfuscation and state-based activation to enhance security.Throughout this internship, I gained invaluable hands-on experience in hardware security, FPGA design, and advanced data analysis techniques. I developed proficiency in using industry-standard tools such as Vivado and Vitis for hardware design and implementation. The process of collecting and analyzing large datasets honed my skills in data management and statistical analysis. Additionally, exploring machine learning models for PUF evaluation deepened my understanding of the intersection between hardware security and artificial intelligence. This internship has not only expanded my technical skills but also provided me with a holistic view of the research and development process in the field of hardware security.