Hershey, Pennsylvania
New York, New YorkBeijing, China

Mohit Dua

Mohit Dua received Ph.D. in the area of Automatic Speech Recognition from National Institute of Technology, Kurukshetra, India in 2018. He is presently working as Assistant Professor in Department of Computer Engineering at NIT Kurukshetra, India. He has more than 17 years of Teaching and Research experience. He is a member of Institute of Electrical and Electronics Engineers (IEEE), and life member of Computer Society of India (CSI) and Indian Society for Technical Education (ISTE). His research interests include Speech processing, Chaos based Cryptography, Information Security, Theory of Formal languages, Statistical modelling and Natural Language Processing. He has published approximately 60 research papers including abroad paper presentations including USA, Canada, Australia, Singapore, Mauritius and Dubai.

Publications

Securing Automatic Speaker Verification Systems Using Residual Networks
Securing Automatic Speaker Verification Systems Using Residual Networks
Nidhi Chakravarty, Mohit Dua. © 2025. 32 pages.
Spoofing attacks are a major risk for automatic speaker verification systems, which are becoming more widespread. Adequate countermeasures are necessary since attacks like...
Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security
Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security
Mohit Dua, Ankit Kumar Jain. © 2021. 355 pages.
The artificial intelligence subset machine learning has become a popular technique in professional fields as many are finding new ways to apply this trending technology into...
An Improved Approach for Multiple Image Encryption Using Alternate Multidimensional Chaos and Lorenz Attractor
An Improved Approach for Multiple Image Encryption Using Alternate Multidimensional Chaos and Lorenz Attractor
Mohit Dua, Shelza Dua, Priyanka Jaroli, Ankita Bisht. © 2021. 18 pages.
This chapter proposes a multiple image encryption method based on multi-dimensional chaotic equations. Four-dimensional differential chaotic equations of Lorenz attractor have...
K-Means and DNN-Based Novel Approach to Human Identification in Low Resolution Thermal Imagery
K-Means and DNN-Based Novel Approach to Human Identification in Low Resolution Thermal Imagery
Mohit Dua, Abhinav Mudgal, Mukesh Bhakar, Priyal Dhiman, Bhagoti Choudhary. © 2020. 13 pages.
In this chapter, a human detection system based on unsupervised learning method K-means clustering followed by deep learning approach You Only Look Once (YOLO) on thermal imagery...