I am a native of Jammu and Kashmir, India. I have completed my BSc degree with Physics, Mathematics and Electronics as the major subjects, followed by an  MSc degree in Mathematics, from the University of Kashmir, India.  Subsequently, I completed my PhD degree in Mathematics, from the University of Kashmir, South Campus, India in the year 2022. Presently, I am working as a Postdoc Fellow at the Department of Computer Science and Engineering, Indian Institute of Technology Bombay. My broad field of research is Harmonic Analysis and my research interests include Fourier Analysis, Wavelet Theory, Sampling Theory, Filtering Theory and Mathematical Signal Processing, in general.  Nevertheless, I have also worked as a Junior Research Fellow (JRF) in the major research project entitled Fractional Wavelet Analysis: Theory and Applications funded by the Science and Engineering Research Board of the Department of Science and Technology, Government of India during the period 2018-2021. During my six-year-long research career, I have worked on some of the prolific research problems on the subject of Fourier and wavelet transforms. As of now, I have co-authored about twenty research articles, which have been published (or communicated) in diverse international journals of repute. Most importantly, I have co-authored a monograph with my PhD supervisor, entitled Wavelet Transforms: Kith and Kin bearing ISBN 9781032007960.  The book is published by the CRC Press and is the first of its kind dealing with the notion of continuous wavelet transforms, together with their erstwhile and subsequent chronological developments. Besides, I am also an occasional columnist for several English dailies with circulations in different parts of the country.

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PHD RESEARCH WORK


The title of my PhD thesis is An Analysis of the Stockwell Transforms in Different Time-frequency Domains. It is imperative to mention that the Stockwell transform (S-transform) was introduced by R.G. Stockwell in 1996 as a bridge between the short-time Fourier transform and the wavelet transform. Owing to its relationship with the wavelet transform, the Stockwell transform is also referred to as the phase-corrected wavelet transform. In the thesis work, we have accomplished two major objectives: First, we investigated upon the Stockwell transform beyond the conventional Fourier domain by introducing the notions of the fractional Stockwell transform and the linear canonical Stockwell transform; these novel Stockwell transforms are demonstrated to have optimized concentrations in the time-frequency plane, which makes them befitting for the class of signals which do not completely reveal their characteristics within the Fourier domain. Second, we extended the Stockwell transform to the higher-dimensional domains via two fundamental approaches; one relying upon the higher-dimensional analyzing functions and the other based on the concept of projections by invoking the well-known Radon transform. The thesis also embodies applications of the proposed work to different aspects of signal processing and it is demonstrated that the newly proposed Stockwell transforms outperform the classical tools of time-frequency analysis, including the short-time Fourier transform, wavelet transform, as well as the classical Stockwell transform. 


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