I'm Abdul Mazid, an Assistant Professor at the School of Computer Science, Engineering, and Technology at Bennett University. With over 7 years of experience in teaching various Computer Science courses, I have developed a deep passion for research and education.My primary research interests lie in machine learning, federated learning, and IoT security. I am committed to exploring innovative solutions and advancing knowledge in these exciting fields. My academic journey has provided me with extensive hands-on experience in developing and implementing machine learning and deep learning models using frameworks like TensorFlow and Keras. I specialize in predictive modeling, information retrieval, pattern recognition, and image detection.I am well-versed in artificial neural networks, including convolutional neural networks (CNN) and recurrent neural networks (RNN), and have practical experience in enhancing IoT device security through various deep learning models. Proficient in programming languages such as Python, R, and C, I leverage libraries like NumPy and Pandas to extract insights and drive data-driven decision-making.I am actively seeking opportunities to collaborate with like-minded professionals and organizations to push the boundaries of machine learning and IoT security.