Dr. S. Ramakoteswara Rao is an Associate Professor of Electronics and Communication Engineering with over 15 years of teaching, research, and academic leadership experience. His expertise spans deep learning, medical image processing, IoT, wireless sensor networks, and intelligent signal processing systems. He has published extensively in SCI, Scopus, and IEEE-indexed venues and holds an Indian patent in AI-based substation monitoring systems, contributing significantly to applied research and technology-driven education.
Online Profiles
Dr. Rao maintains active research profiles on global academic platforms including Scopus Author ID (58637564000), Google Scholar, and ORCID (0009-0003-5073-0837), which collectively reflect his scholarly output, citation impact, peer-reviewed publications, and international research visibility.
Education
He completed his Ph.D. in Deep Learning from Annamalai University (thesis submitted, 2025), following an M.E. in Applied Electronics from Sathyabama University with a CGPA of 8.24, and a B.Tech in Electronics and Communication Engineering from JNTU Hyderabad, building a strong interdisciplinary foundation in electronics, communication systems, and artificial intelligence.
Research Focus
His research primarily focuses on deep learning architectures for medical image registration and segmentation, transformer-based neural networks, hyperspectral image analysis, IoT-enabled intelligent systems, wireless sensor networks, and optimization-based artificial intelligence algorithms for healthcare and smart infrastructure applications.
Experience
Dr. Rao is currently serving as an Associate Professor at DVR & Dr. HS MIC College of Technology (Autonomous, NAAC & NBA Accredited) since 2021, having previously worked as Assistant Professor and Head of the Department at reputed autonomous and affiliated engineering institutions, where he contributed to curriculum design, accreditation processes (NAAC, NBA, Autonomous), and academic governance.
Research Timeline & Research Contributions
His research journey evolved from signal processing and VLSI system design in the early phase to AI-driven medical imaging, IoT systems, and deep learning optimization models in recent years, resulting in high-impact Q1 journal publications and interdisciplinary conference proceedings addressing real-world healthcare and smart technology challenges.
Research Impact
Dr. Rao’s research has been published in high-impact SCI-Q1 journals such as Pattern Recognition and Biomedical Signal Processing and Control, with applications in Alzheimer’s detection, cardiac MRI analysis, and multimodal medical image registration, demonstrating strong translational value and global research relevance.
Innovation & Intellectual Property
He is the inventor of an Indian patent titled “GSM-based Substation Monitoring and Control System Using Artificial Intelligence” (2023), which integrates AI, IoT, and power system automation to enhance reliability, real-time monitoring, and intelligent fault detection in electrical substations.
Research Projects & Funding
Dr. Rao has actively contributed to institutionally supported research initiatives, student-driven innovation projects, and applied AI system development aligned with smart healthcare, IoT automation, and signal intelligence, supporting undergraduate and postgraduate research mentoring and proposal development.
Conference Contributions
He has presented and published research findings in IEEE international conferences and Scopus-indexed proceedings, contributing to academic discourse on AI-based optimization, medical imaging, and wireless communication systems, while also participating in technical sessions, peer review, and knowledge dissemination activities.
Academic Excellence
Dr. Rao is UGC-NET qualified (96.784 percentile, 2025), a recipient of multiple NPTEL Silver and Elite certifications, and a ratified faculty member under JNTUK across multiple years, reflecting consistent academic performance, teaching excellence, and national-level recognition.
Societal / Industry Contribution
His work bridges academia and industry through IoT-based healthcare systems, AI-enabled monitoring solutions, and curriculum modernization, while mentoring students toward employability, innovation, and socially relevant engineering solutions addressing healthcare, energy, and smart infrastructure needs.
Global Recognition
With publications in internationally reputed journals, active professional society memberships (ISTE, IETE, IAENG), and global research indexing, Dr. Rao’s work has gained international visibility and recognition within the AI, signal processing, and medical imaging research communities.
Publications
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Rao, S. R., et al., “An Intelligent Multimodal Medical Image Registration Using Hybrid Meta-Heuristic Optimization with Transformer-Based Residual U-Net,” Pattern Recognition, Elsevier, 2025, SCI-E, Q1, Impact Factor: 7.26.
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Rao, S. R., et al., “ATUN-MDC Image Registration: Performance Enhancement Using Adaptive Trans-U-Net with Multi-Dilated Convolution,” Biomedical Signal Processing and Control, Elsevier, 2025, SCI-E, Q1, Impact Factor: 4.65.
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Rao, S. R., et al., “IoT-Ready Energy-Autonomous Parking System,” AIP Conference Proceedings, 2025, Scopus Indexed, Q2.
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Rao, S. R., et al., “A Novel Image Registration and Hyperspectral Classification Method for Multi-Scale Image Segmentation,” AIP Conference Proceedings, 2025, Scopus Indexed, Q2.
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Rao, S. R., et al., “Alzheimer Image Registration Using Hybrid Random Forest and Deep Regression Network,” International Journal of Electrical and Electronics and Computer Science, 2024, Scopus Indexed, Q3.
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Rao, S. R., et al., “Improved Anomaly Detection in Wireless Sensor Networks Using AI-Based Optimization Tools,” IEEE ICAISS Conference Proceedings, 2023.
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Rao, S. R., “Segmentation of Blood Vessels and Optic Disk in Retinal Images Using SVM Classifier,” International Journal of Engineering Research & Technology.
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Rao, S. R., “Brain Tumor Detection in MRI Images Using Genetic Algorithm,” International Journal of Engineering Research & Technology.
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Rao, S. R., “A 32-Point FFT Using Vedic Mathematics,” International Journal of Engineering Research.
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Rao, S. R., “Efficiency of Reactive Routing Protocols for Wireless Sensor Networks,” International Journal of Computer Applications and Technology.
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Rao, S. R., “Patch-Based Coupled Dictionary Approach for Cardiac MRI Using SR Algorithm,” International Journal of Mechanical Engineering Research.
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Rao, S. R., “SRT Synchronization Protocol for Healthcare IoT,” International Journal of Research.
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Rao, S. R., “Optimization of Full Adder Cells Using HDL,” International Journal of Innovative Research in Technology.