IdentityAs an educator in the rapidly evolving field of computer science, my teaching philosophy is rooted in fostering a deep understanding of the lessons I have learned during my research rather than focusing solely on textbook knowledge. I aim to inspire and motivate students to learn from my experiences and apply their knowledge to real-world challenges.
I am a teacher and engineer. I have completed my PhD in the domain of AI/ML. My research in developing a novel unsupervised machine learning framework for medical image analysis directly informs my teaching. I incorporate my research findings into the discussions, providing students with insights into current trends and challenges in the field.
Involving students in research projects can enhance their learning experience and
inspire them to pursue research careers. I aim to mentor students in their research endeavours, guiding them through the process of formulating research questions, conducting experiments, and presenting their findings.
I recognize that students come from diverse backgrounds and possess a wealth of ideas that can solve real-world problems. Therefore, I strive to create an inclusive learning environment where students can apply these ideas in areas such as patent filing and research proposal writing. I encourage peer-to-peer collaboration and idea-sharing, fostering a collaborative atmosphere that enhances understanding and retention of knowledge.
