Mr. Muthurasu N | Video Analytics | Best Researcher Award
Assistant Professor SRM IST, Vadapalani campus India
Muthurasu Nallappan is an innovative Assistant Professor at SRM Institute of Science & Technology, Chennai. With a passion for fostering academic development, he specializes in technology-based curriculum delivery and assessment tools. He is dedicated to enhancing student learning and success through innovative teaching methods and collaborative curriculum development.
Profile
Education 🎓
Muthurasu holds a Ph.D. in Surveillance Video Analytics (2024) and a Master of Engineering in Computer Science and Engineering (2014) from SRM Institute of Science and Technology and Anna University, respectively. He completed his Bachelor of Engineering in Computer Science and Engineering from Anna University in 2011, showcasing a strong academic foundation in his field.
Experience 👨🏫
Since 2014, Muthurasu has been serving as an Assistant Professor at SRM Institute of Science & Technology. He has implemented innovative teaching methods, built strong rapport with students, and contributed significantly to curriculum revision and campus activities. His efforts have promoted a positive university image and enhanced student engagement in both classroom and distance learning environments.
Research Interest 🔬
Muthurasu’s research interests include machine learning, content-based video retrieval, and anomaly detection using deep learning. He is also focused on database and data analytics, continually exploring new methods to enhance the efficiency and effectiveness of technology in education and research.
Awards 🏆
Muthurasu has been recognized with several awards, including the Best Paper Award during his Master’s studies. His innovative contributions to research and teaching have earned him accolades and patents, highlighting his dedication to advancing knowledge and technology.
Publications Top Notes 📚
Nallappan, Muthurasu & Velswamy, Rajasekar. (2024). Exploring Deep Learning-Based Content-Based Video Retrieval with Hierarchical Navigable Small World Index and ResNet-50 Features for Anomaly Detection. Expert Systems with Applications, 247, 123197. Cited by 10.
Narain, Ramaswamy & Siddhant, R. & Barath, Vimanthann & Pearline, Anubha & Nallappan, Muthurasu. (2023). Classification of Retinal Images Using Self-Created Penta-Convolutional Neural Network. Procedia Computer Science, 187-196. Cited by 5.
Arokiaraj, P. & Sandeep, D.K. & Vishnu, J. & Nallappan, Muthurasu. (2023). Movie Recommendation System Using Machine Learning. Procedia Computer Science, 398-406. Cited by 7.
K. Thiagarajan, A. Bansal and N. Muthurasu. (2023). Sentimental Analysis on Media. International Conference on Recent Advances in Science and Engineering Technology (ICRASET), pp. 1-5. Cited by 8.
Nallappan, Muthurasu & Siva, Sanjeev & Chatterjee, Supratik. (2021). Entity Analysis and Centralization. Cited by 6.
