Aswani Devi Aguru – Computer Science – Women Researcher Award

Aswani Devi Aguru - Computer Science & Engineering - Women Researcher Award

NIT warangal - India

EARLY ACADEMIC PURSUITS

Aswani Devi Aguru began her academic journey with a Bachelor's degree in Computer Science & Engineering from IIIT Basara, India. Excelling in her studies, she continued her education with a Master's degree from JNTU Kakinada, where she earned a remarkable CGPA of 9.32 and was awarded a Gold Medal. Her academic prowess led her to pursue a Ph.D. in Computer Science & Engineering from the prestigious National Institute of Technology, Warangal, where she is currently in pursuit of advanced research.

PROFESSIONAL ENDEAVORS

With a strong foundation in computer science, Aguru has embarked on a professional journey marked by research and innovation. She has served as a Junior Research Fellow (JRF), contributing significantly to projects focused on cutting-edge technologies such as Deep Learning, Cryptography, Blockchain, and Internet of Things (IoT). Her role in developing real-time solutions, including a prototype for text-to-speech conversion for the visually impaired using deep learning, demonstrates her commitment to leveraging technology for societal benefit.

CONTRIBUTIONS AND RESEARCH FOCUS ON COMPUTER SCIENCE & ENGINEERING

Aguru's research focus spans several interdisciplinary domains, including cybersecurity, computer vision, and blockchain technology. Her notable contributions include the development of lightweight intrusion detection mechanisms, trust-based blockchain systems, and innovative frameworks for securing IoT networks. Her research papers have been published in reputable journals and presented at international conferences, showcasing her expertise in addressing contemporary challenges in the field of computer science & engineering.

IMPACT AND INFLUENCE

Aguru's work has left a significant impact on academia and industry, with her research findings contributing to the advancement of cybersecurity protocols, blockchain-enabled solutions, and IoT applications. Her collaborations with peers and co-guidance of projects have facilitated knowledge dissemination and skill development among students and professionals alike. Through lectures and workshops, she has shared her insights and expertise, inspiring the next generation of researchers and practitioners in the field computer science & engineering.

ACADEMIC CITATIONS

Aguru's research publications have garnered citations from peers and experts in the field, underscoring the relevance and significance of her contributions. Her work has been cited in reputable journals and conferences, indicating its recognition and influence within the academic community.

LEGACY AND FUTURE CONTRIBUTIONS

Aswani Devi Aguru's legacy lies in her dedication to advancing the frontiers of computer science & engineering through rigorous research, innovative solutions, and knowledge dissemination. Her future contributions are poised to further propel the field forward, addressing emerging challenges and harnessing the potential of disruptive technologies for societal impact. With her expertise in cryptography, blockchain, and cybersecurity, she remains at the forefront of transformative research, shaping the future of technology-enabled solutions in a rapidly evolving digital landscape.

NOTABLE PUBLICATION

Smart Contract Based Next-Generation Public Key Infrastructure (PKI) Using Permissionless Blockchain.  2022 (1)

A Lightweight DDoS Detection Mechanism in IoT Networks using Entropy and Expectation of Packet Size.  2022 (1)

Swathi – ARTIFICIAL INTELLIGENCE – Best Researcher Award

Swathi - ARTIFICIAL INTELLIGENCE - Best Researcher Award

PANIMALAR ENGINEERING COLLEGE - India

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS:

Swathi.S stands as a dedicated and motivated individual, poised to leverage her educational background and skills to impart knowledge. With a focus on both modern and traditional teaching approaches, she is committed to fostering skill development in learners.

PROFESSIONAL ENDEAVORS:

Her academic journey includes a Ph.D. in Computer Science and Engineering from Anna University, where her provisional confirmation showcases a commitment to advancing knowledge. With a master's degree from P.A College of Engineering and Technology and a bachelor's degree from Dr.N.G.P Institute of Technology, Swathi.S has built a strong academic foundation.

CONTRIBUTIONS AND RESEARCH FOCUS:

Swathi.S has ventured into the realm of academia with roles ranging from Lecturer to Assistant Professor in various esteemed institutions. Her current position as an Assistant Professor in Artificial Intelligence and Data Science at Panimalar Engineering College reflects her evolving research focus and dedication to staying at the forefront of technological advancements.

IMPACT AND INFLUENCE:

Attending a plethora of Faculty Development Programs (FDP) and workshops, Swathi.S ensures she stays abreast of the latest trends. Her active participation in conferences and seminars, both national and international, underscores her commitment to academic growth and networking.

ACADEMIC CITES:

While specific details about academic citations are not provided, Swathi.S's continuous engagement in FDPs and attendance at conferences indicate a proactive approach to staying connected with the academic community. This involvement likely contributes to her academic citations indirectly.

LEGACY AND FUTURE CONTRIBUTIONS:

Swathi.S's journey has been marked by a series of FDPs, workshops, and conferences, laying the groundwork for a legacy of continuous learning and knowledge dissemination. Her current position in the field of Artificial Intelligence positions her for impactful future contributions.

ARTIFICIAL INTELLIGENCE FOCUS:

Swathi.S has demonstrated a keen interest in Artificial Intelligence, evident from her current role and the repeated participation in FDPs related to AI. Her future contributions are likely to make significant strides in the field of Artificial Intelligence.

NOTABLE PUBLICATION

Recurrent Neural Network for Human Action Recognition using Star Skeletonization.  2019 (3)