Yaswanth Narikamalli
Assistant Professor
- Teaching
About
Yaswanth Narikamalli is an enthusiastic and dedicated academician with a strong foundation in both industry and teaching. He holds an M.Tech in Internet of Things from JNTUA. With prior experience as a Software Engineer at Yalamanchili Engineering Pvt. Ltd., Yaswanth transitioned into academia with a passion for shaping future technologists. He has been serving as an Assistant Professor since July 2023, teaching undergraduate students in areas such as Java, Internet of Things (IoT), Cloud Computing, Software Engineering, Open Source Technologies, and Database Management Systems. His teaching approach emphasizes practical learning, industry relevance, and student engagement. He actively mentors students through hands-on workshops and technical activities that bridge the gap between academia and industry. Yaswanth has actively contributed to research with publications indexed in Springer and Web of Science (WoS), reflecting his commitment to advancing knowledge in emerging technologies. His research interests primarily focus on Machine Learning, Deep Learning, and Data Science, with an emphasis on real-world applications. He is known for his positive attitude, curiosity, and commitment to continuous learning, making him a valuable contributor to the academic community.
Assistant Professor, Kristu Jayanti Deemed to be University, 2024 - 2025
Assistant Professor, QIS College of Engineering and Technology, Ongole, 2023 - 2024
Web Development Trainer, Triveni Degree College, Vijayawada, 2022 - 2023
Software Engineer, Yalamanchili Engineers Pvt Ltd, 2020 - 2021
Problem Solving with C
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AI-Driven Biomedical Image Analysis: Advancements and Applications in Healthcare, 2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), Coimbatore, India, 2025, pp. 1673-1678, doi: 10.1109/ICoICI65217.2025.11254353.
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AI in Blockchain Security: Detecting Anomalies in Smart Contracts, 2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), Coimbatore, India, 2025, pp. 126-135, doi: 10.1109/ICoICI65217.2025.11254779.
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Graph Neural Networks and Hybrid Deep Learning for Personalized Anomaly Detection and Health Risk Forecasting in IoT Healthcare Infrastructures, 2025 International Conference on Computing and Communications (COMPUTINGCON), Talegaon, India, 2025, pp. 1-6, doi: 10.1109/COMPUTINGCON64838.2025.11377074.
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Enhancing Digital Forensic Security: A Secure Storage Model with Authentication and Optimal Key Generation Based Encryption, 2025 2nd International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT), Warangal, India, 2025, pp. 1-7, doi: 10.1109/ICRTEECT67512.2025.11448873.
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MULTIVERSE AI SUITE: Integration of Chabot, Image generator and Language Translator, 2025 2nd International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT), Warangal, India, 2025, pp. 1-7, doi: 10.1109/ICRTEECT67512.2025.11448761.
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EHA-LNN: Optimized light gradient-boosting machine enabled neural network for cancer detection using mammography, Biomedical Signal Processing and Control, Volume 105, 2025, 107540, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2025.107540.
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Early knee osteoarthritis classification using distributed explainable convolutional neural network with local interpretable model-agnostic explanations, Engineering Research Express, Vol.6 Issue 4, December 2024
Education
M.Tech (IoT), JNTUA, 2023
B.Tech, Andhra University, 2020