Reaearch Interest - DevOps, Data Structures, Automata & Quantum Computing

Journal Articles -

• Published a paper in IEEE Journal at BARTIK100 2nd International Conference on Networks, Intelligence and Computing (ICONIC-2024) with the title: “Automated and Interpretable Detection of Multiple Eye Diseases Using a Deep Learning”.
• Published a paper in IEEE Journal at International Conference on Communication, Computer Sciences and Engineering (IC3SE-2024) with the title: “Novel Architecture and Comparative Study for Deep Learning-Based Segmentation of 3D Brain MRI Images using SegNet, V-Net, and U-Net”.
• Published a paper in International Conference on Robotics, Automation, and Intelligent Computing (ICRAIC 2K24) titled: “Automated and Interpretable Detection of Multiple Eye Diseases Using a Deep Learning.” Indexed in: Scopus, Web of Science (WOS), ISSN: 0094-243X.
• Published a paper in International Conference on Recent Trends in Blockchain, Artificial Intelligence and Metaverse (ICRTBAM-2023) on the topic: “Artificial Intelligence Approaches for Enhanced Diagnosis of Breast Cancer: A Critical Review”.

Books -

• Published chapters in CRC Press, Taylor & Francis Group, LLC, USA, 2022 For the Chapter titled “Significant role of IOT in agriculture for Smart Farming” Published in the Edited Book entitled “IoT and AI for Sustainable Living - A Practical Handbook”. (Chapter-3)
• Published chapters in CRC Press, Taylor & Francis Group, LLC, USA, 2022 For the Chapter titled “Online Recommendation using ML and NLP” Published in the Edited Book entitled “IoT and AI for Sustainable Living - A Practical Handbook”. (Chapter-7)

Awards & Honours -

• MEITY Research grant under Visvesvaraya Ph.D. Scheme (2015-2021)
• TEQIP grant for research work presentation in IEEE ICICI Conference at Coimbator 2017.

Conferences -

• Visited Govt. colleges as an Expert for Internet of Things.
• Visited Govt. colleges as an Expert for DevOps.
• Co-convener in National Conference “Advanced Technology in Computer Science and Mathematics Trends (ATCSMT’15)”

Patent - Patent on “A method of predicting Financial Crisis based on Deep Learning”.