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SRM University-AP has been bestowed with the Excellence in Enabling Research Environment (Science) award at the 16th International Education Leadership & Skill Development Summit held at Hotel Shangri-La, New Delhi, on May 26, 2023. The award ceremony was organised by ASSOCHAM – National Council on Education. Prof. Ranjit Thapa, Dean-School of Engineering and Sciences; Dr Mahesh Kumar Ravva, Assistant Dean-Research; and Mr Pankaj Belwariar, Director-Communications, received the award from Shri. Kunwar Shekhar Vijendra, Chairman-ASSOCHAM – National Council on Education and Prof. Rajita Kulkarni – Co-Chairperson- ASSOCHAM – National Council on Education.

‘‘Our appetite for research and innovation is always ongoing, and such recognitions are huge fuel for the numerous discoveries that can happen at the interface of science and research. I am proud to say that we are involved in fundamental and pure research; inter-disciplinary and cross-disciplinary research; applied and translation research; innovation and entrepreneurship,’’ commented Honourable Vice Chancellor Prof. Manoj K Arora in response to the award.

Prof. Ranjit Thapa, Dean-School of Engineering and Sciences, said SRM University-AP had created an incredible research ecosystem through a robust research infrastructure, laboratories, and research Centres of Excellence. ‘‘Being at the receiving end of such awards is a great honour for a nascent university. We are confident to make many more impactful innovations and contribute to the country’s development,’’ Dr Mahesh Kumar Ravva, Assistant Dean-Research, added.

SRM University-AP has 72 sponsored research and industrial consultancy projects with a total outlay of Rs. 28.11 Crores. Among the 128 published patents, 5 have been granted. The research environment is anchored by Eight Interdisciplinary Research Centres of Excellence. The faculty of SRM University-AP have been recently awarded 10 projects worth 2.50 crores from the Science and Engineering Research Board (SERB-SURE). The university has constructed two state-of-the-art research buildings to house more than 50 research laboratories and COEs. In another one-year time, the university will also have a research and industrial park on the campus. The varsity has developed into an ideal platform that vitalises intellectual exploration, diversity of perspectives, ingenious research advancements and inventive industry endeavours.

The summit was organised in the context wherein the use of technology coupled with innovation is potent to improve education, develop ingenuity, empower people, bolster governance, and stimulate the effort to achieve the human development goal for the country. ASSOCHAM is the oldest industry association serving the nation since 1920. ASSOCHAM bridges the industry and government on policy and regulations, ease of business and educational issues. The awards are being conferred in recognition of the significant efforts made by higher education institutions. Over 20 subcategories were awarded among the three main categories.

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The Department of Mathematics is glad to announce that the project of Dr Sandeep Kumar Verma, Assistant Professor, titled “Investigation and development of wavelet transform and its applications in the framework of fractional Dunkl transform”, has been selected to be funded by DST, Govt. of India under SERB-SURE Scheme, securing an approved grant of 20.13 Lacs. Dr Sandeep Kumar Verma is the Principal Investigator of the project.

Title of the Project: Investigation and development of wavelet transform and its applications in the framework of fractional Dunkl transform

Approved Grant: 20.13 Lacs (As per university calculation)

Funded by: DST, Govt. of India under SERB-SURE Scheme

PI: Dr Sandeep Kumar Verma, Assistant Professor, Department of Mathematics

Project Summary: Dunkl operators are differential-difference operators associated with finite reflection groups in a Euclidean space. Dunkl transform is attracting widespread interest and giving us new perspectives on familiar topics from Harmonic Analysis and Partial Differential Equations. The fractional Dunkl transform (FRDT), which is introduced with one extra parameter, is the generalization of the well-known signal processing operations, such as the Fourier transform (FT), the fractional Fourier transform (FRFT), the Fresnel transform, Hankel transforms, fractional Hankel transforms, and the Dunkl transform. The FRDT will also find applications in the solution of optical systems, filter design, time-frequency analysis, and many others. The wavelet transforms (WT), which has had a growing importance in optics and signal processing, has been shown to be a successful tool for time-frequency analysis and image processing. It has found many applications in time-dependent frequency analysis of short-transient signals, data compression, optical correlators, sound analysis, representation of fractal aggregates, and many others.

The fractional wavelet transforms (FRWT) based on the fractional Fourier transform, which generalizes the classical wavelet transform, has proven potentially useful for signal processing, data compression, pattern recognition, and computer graphics. Thus, fractional wavelet transform gives more flexibility for time-frequency analysis than the usual wavelet transforms. As a generalization of the WT, a novel fractional Dunkl wavelet transform (FRDWT) can combine the advantages of the WT and the FRDT, i.e., it will be a linear transformation without cross-term interference and will be capable of providing multiresolution analysis and representing signals in the fractional domain. Simultaneously, compared to the Dunkl transforms, FRDT is more flexible for its one extra degree of freedom and can be used frequently in time-frequency analysis and non-stationary signal processing. Inspired by the fractional wavelet transform (FRWT), we introduce the concept of the (FRDWT), combining the idea of FRDT and WT. The proposed transform will not only inherit the advantages of multiresolution analysis of the WT, but also will have the capability of signal representations in the fractional Dunkl transform domain. Compared with the existing WT, the fractional Dunkl wavelet transform can offer signal representations in the time-fractional-frequency plane in the FRDT domain.

The Education Paper

The Education Paper