Rate My Professor T Nagarajan

Dr. T. Nagarajan serves as Professor and Head of the Department of Computer Science and Engineering, as well as Associate Dean of the School of Engineering, at Shiv Nadar University Chennai. With more than 30 years of professional experience, comprising 23 years in teaching and 7 years in research, he has held significant academic leadership roles. Prior to joining Shiv Nadar University in 2021, he was Professor and Head of the Department of Information Technology at SSN College of Engineering from 2009 to 2021, and Professor there from 2006 to 2009. Earlier positions include Post-Doctoral Fellow at INRS, University of Quebec, Montreal, Canada from 2005 to 2006, Senior Project Officer at IIT Madras from 2004 to 2005, Teaching Assistant at IIT Madras from 2000 to 2004, Assistant Professor and Head at PMC Tech, Thanjavur from 1995 to 2000, and Senior Lecturer at PMC Tech from 1992 to 1995.

He holds a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Madras in 2004 and an M.E. from Madurai Kamaraj University in 1992, along with a Post-Doctoral Fellowship from the National Institute of Scientific Research, Montreal, Canada. His research specializations encompass Automatic Speech Recognition, Text-to-Speech Synthesis, Speech Signal Processing, Acoustic Modeling, Machine Learning, and Music Signal Processing. In recognition of his contributions to Tamil computing, particularly developing a lightweight HMM-Based speech synthesizer and various applications, he received the Chief Minister’s Award for Tamil Computing in 2020 from the Government of Tamil Nadu. Dr. Nagarajan has a prolific publication record with 47 journal papers, 82 conference papers, and 12 book chapters. Notable works include “Higher order statistics-driven magnitude and phase spectrum estimation for speech enhancement” in Computer Speech & Language (2024), “Chirp Group Delay-Based Onset Detection in Instruments with Fast Attack” in Circuits, Systems, and Signal Processing (2023), “Data Augmentation Techniques for Transfer Learning-Based Continuous Dysarthric Speech Recognition” in Circuits, Systems, and Signal Processing (2023), “Multi-level single-channel speech enhancement using a unified framework for estimating magnitude and phase spectra” in IEEE/ACM Transactions on Audio, Speech, and Language Processing (2020), and “A Weighted Speaker-Specific Confusion Transducer-Based Augmentative and Alternative Speech Communication Aid for Dysarthric Speakers” in IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018).