News

womens day 2024In commemoration of International Women’s Day, the Directorate of Student Affairs and the Directorate of HR collaborated to orchestrate a vibrant celebration on campus. The celebration witnessed Dr Shikha Jain, Director of Preservation and Community Design at DRONAH and Vice-President of ICOFORT, as its esteemed guest, alongside her were distinguished figures, including Vice Chancellor, Prof. Manoj K Arora; Associate Director of Faculty Affairs Prof. Sheela Singh; Professor of Liberal Arts, Dr Vandana Swami; and Associate Director of Student Affairs, Ms Revathi B.

Dr Sikha Jain, in her keynote address, reverberated with homage to the timeless strength inherent in women, drawing parallels with the archetype of Goddess Durga, symbolising courage, bravery, and compassion. She urged all attendees to embody these virtues and champion gender parity in every sphere of life.

Prof. Arora, in his speech, emphasised on the pivotal role women play in shaping our present and future, excelling across diverse domains from space exploration to entrepreneurship. Embracing this year’s theme, “Inspiring Inclusion,” he stated, “our dedication lies in cultivating a world where everyone appreciates and supports women’s contributions, ensuring they experience profound empowerment and a sense of belonging”.

The event also marked the launch of ‘Aditri-The Horizon of Hope,’ a transformative initiative aimed at empowering rural women, serving as a testament to the university’s commitment to fostering positive change. This pioneering endeavour was inaugurated by Mr Sidharth Shankar Tripathy, Director – Entrepreneurship and Innovation & Professor of Practice. The celebration reached its zenith with captivating performances by our talented staff, faculty and students, culminating in a joyous prize distribution for the Women’s Day competitions.

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Womens day Ramp walk

HarshaSRM University-AP is proud to congratulate Harsha, a brilliant PhD scholar from the Department of Physics, for her exceptional achievement at the National Symposium of Research Scholars on Metallurgy and Materials held at IIT Kanpur. Harsha secured the prestigious 2nd prize for her remarkable presentation titled “Tarnish Resistance Mechanism in Ag-4Cu-2.5Zn-1Ge Novel Alloy: A Comprehensive Experimental and Computational Analysis”.

The symposium, organised at IIT Kanpur, brought together some of the brightest minds in the field of metallurgy and materials research. Harsha’s presentation stood out among the impressive array of research papers, showcasing her expertise and dedication to pushing the boundaries of scientific exploration.

Her presentation focused on the intricate mechanism of tarnish resistance in the Ag-4Cu-2.5Zn-1Ge novel alloy. Through a comprehensive analysis that combined experimental and computational approaches, Harsha shed light on the factors influencing tarnish resistance in this unique alloy composition. Her findings have significant implications for the development of advanced materials with enhanced durability and longevity.

The symposium, which congregates the brightest minds in the field, was the perfect platform for Harsha to showcase her extensive research. Her work, which provides significant insights into the tarnish resistance mechanisms of novel silver alloys, has been recognised for its depth and scientific rigour.

The recognition received by Harsha at this prestigious national symposium is a testament to her exceptional research capabilities and the quality of education and mentorship provided at SRM University-AP. It highlights the university’s commitment to nurturing talent and fostering an environment conducive to groundbreaking research.

SRM University-AP extends its warmest congratulations to Harsha for this remarkable achievement. Her success serves as an inspiration to fellow students and researchers, encouraging them to pursue excellence in their respective fields of study.

Dr-Banee-SaswatIn a remarkable academic achievement, Dr Banee Bandana Das, Assistant Professor in Department of Computer Science and Engineering and Dr. Saswat Kumar Ram, Assistant Professor in Department of Electronics and Communication Engineering, have made significant contributions to the field of biometric security. Their paper, titled “Person Identification using Autoencoder-CNN Approach with Multitask-based EEG Biometric,” has been published in the esteemed ‘Multimedia Tools and Applications journal, which is recognised as a Q1 journal with an impressive impact factor of 3.6.

This pioneering work showcases a novel approach to person identification using electroencephalogram (EEG) data. The research leverages the power of Autoencoder-CNN models combined with multitask learning techniques to enhance the accuracy and reliability of EEG-based biometric systems.

The publication of this paper not only underscores the high-quality research conducted at SRM University-AP but also places the institution at the forefront of innovative developments in biometric technology. It is a testament to the university’s commitment to advancing scientific knowledge and providing its faculty with a platform to impact the global research community positively.

Abstract

In this research paper, we propose an unsupervised framework for feature learning based on an autoencoder to learn sparse feature representations for EEG-based person identification. Autoencoder and CNN do the person identification task for signal reconstruction and recognition. Electroencephalography (EEG) based biometric system is vesting humans to recognise, identify and communicate with the outer world using brain signals for interactions. EEG-based biometrics are putting forward solutions because of their high-safety capabilities and handy transportable instruments. Motor imagery EEG (MI-EEG) is a maximum broadly centered EEG signal that exhibits a subject’s motion intentions without real actions. The Proposed framework proved to be a practical approach to managing the massive volume of EEG data and identifying the person based on their different task with resting states.

The title of Research Paper in the Citation Format

Person identification using autoencoder-CNN approach with multitask-based EEG biometric. Multimedia Tools Appl (2024).

Practical implementation/social implications of the research

  1. To develop a personal identification system using MI-EEG data.
  2. This work is about an Autoencoder-CNN-based biometric system with EEG motor imagery inputs for dimensionality reduction and denoising (extracting original input from noisy data).
  3. The designed Autoencoder-CNN-based biometric architecture to model MI-EEG signals is efficient for cybersecurity applications.

Collaborations

  1. IIITDM, Kurnool, India
  2. National Institute of Technology, Rourkela, India
  3. University of North Texas, Denton, USA

Future Research Plan

In the future, different deep learning and machine learning methods can be merged to explore better performance in this EEG-based security field and other signal processing areas. We will investigate the robustness deep learning architectures to design a multi-session EEG biometric system.

Link to The Article

Prof.G S Vinod Kumar

The Department of Mechanical Engineering are excited to share a significant milestone achieved in the field of material science and metallurgy. Prof. G S Vinod Kumar, Professor and Head of the Department, has been granted a patent jointly with Titan Company, Bangalore, for the invention “METHOD OF MANUFACTURING LEAD-FREE BRASS” (Patent Grant Number: 452003). This industrial patent was created through a collaboration between SRM University-AP and Titan Company Limited.

This groundbreaking discovery not only transforms the manufacturing of lead-free brass, but it also highlights the collaborative spirit that drives advances in materials engineering.

Abstract

The present disclosure relates to a field of material science and metallurgy. In particular, the present disclosure discloses a method for manufacturing lead-free brass alloy. The method includes preparation of first master alloy by melting copper and a transition element, and a second master alloy by mixing molten zinc and molten copper. The lead-free brass is obtained by meting a predetermined proportion of the first master alloy and second master alloy along with elemental copper in a furnace under an argon atmosphere. The lead-free brass alloy is then subjected to a precipitation hardening process to improve hardness. The lead-free hard brass alloy containing titanium exhibits improved hardness in comparison to bare lead-free brass mainly due to the presence of intermetallic nanoscale precipitates, which are distributed throughout the lead-free brass matrix.

SRM University-AP continues pushing the limits of scientific discovery and industrial innovation.

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