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Azra Nazir
Assistant Professor
Profile Summary
Dr. Azra Nazir is an academician with a Ph.D. in Computer Science and Engineering from NIT Srinagar and over six years of teaching and research experience.
She holds an M.Tech from BITS Pilani and a B.Tech as a Gold Medallist from the Islamic University of Science and Technology.
Her research focuses on Artificial Intelligence applications in healthcare and smart agriculture, with expertise in IoT, edge intelligence, and intelligent systems.
Work Experience
Dr. Azra Nazir has over six years of teaching experience at institutions including NIT Srinagar, VIT Bhopal, Islamic University of Science and Technology, and Kashmir University.
She has contributed to teaching, research supervision, curriculum development, and academic administration while mentoring undergraduate and postgraduate students.
Educational Qualification
Ph.D., Computer Science and Engineering, National Institute of Technology Srinagar.
M.Tech, Birla Institute of Technology and Science, Pilani.
B.Tech, Islamic University of Science and Technology (Gold Medallist).
Research Interests
Internet of Things, Deep Learning at the Edge, Intelligent Transportation Systems, Distributed Learning, Explainable AI, Healthcare AI, Smart Agriculture, Cyber-Physical Systems.
Teaching Philosophy
Dr. Azra Nazir believes teaching is about inspiring students to explore, question, and understand knowledge beyond examinations.
She emphasizes value-based education that builds confidence, resilience, and the ability to solve real-world problems.
Courses Taught
Artificial Intelligence and Machine Learning, Formal Languages and Automata Theory, Compiler Design, Database Systems, Data Structures and Algorithms.
Awards and Achievements
Gold Medallist in B.Tech (2012), Islamic University of Science and Technology.
Recipient of funded research projects from JK DST and Best Paper Awards at national and international conferences.
Scholarly Activities
Dr. Azra Nazir actively researches Artificial Intelligence applications in healthcare, smart agriculture, and intelligent transportation systems.
She has published in SCI, Scopus, and Web of Science indexed journals on topics including DDoS detection, edge-fog computing, plagiarism detection, and explainable AI.
She participates in workshops and training programs in neural networks, robotics, and open-source technologies while mentoring student research.
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