Associate Professor, Vignan’s Institute of Information Technology, India
Dr. Achanta Sampath Dakshina Murthy is a dynamic academician and innovator currently serving as a Senior Associate Professor in the Department of ECE and Head of Vignan’s Centre for Innovations & Startups at Vignan’s Institute of Information Technology (A), Visakhapatnam 📍. With a strong foundation in electronics and communication engineering , he has carved a niche in interdisciplinary research focusing on biomedical image processing, IoT, and human motion analysis. His visionary leadership in innovation ecosystems is evident through his roles in startup incubation, curriculum development, and R&D strategy 💡. Dr. Murthy is also a prolific researcher, boasting 70+ publications, multiple patents 🧠, and editorial roles across reputed journals. His work on AI-powered gait analysis systems demonstrates his dedication to inclusive technological solutions for the physically challenged ♿. A mentor, reviewer, and award-winning educator, he exemplifies excellence in blending academic rigor with practical impact .
Professional Profile
Scopus
ORCID
Google Scholar
📘 Education
Dr. Murthy holds a Ph.D. in Image Processing from KL University, Andhra Pradesh (2023) . He earned his M.Tech in Digital Electronics and Communication Systems in 2015 and B.Tech in Electronics and Communication Engineering in 2013, both from JNTU Kakinada . His academic journey began with an Intermediate (M.P.C) in 2009 from the Board of Intermediate, A.P. and Class X (CBSE) in 2007 🏫. His continuous pursuit of excellence in education forms the foundation of his pioneering work in research and teaching .
💼 Experience
Dr. Murthy brings over a decade of experience, including 9 years in academia and 1 year in industry 🏭. He has served as Assistant, Associate, and now Senior Associate Professor at Vignan’s Institute of Information Technology (A), Visakhapatnam since 2016 👨🏫. Beyond teaching, he leads as the Head of the Vignan Centre for Innovations & Startups, and has held leadership roles like Associate Dean of R&D and IQAC Coordinator . His experience in Nirmala Industries and involvement in institutional development highlight his blend of academic, administrative, and industrial perspectives .
🔍 Research Focus
Dr. Murthy’s research centers on cutting-edge domains like Human Motion Analysis, Biomedical Image & Video Processing, and the Internet of Things (IoT) 🧬. His notable Ph.D. work developed AI-based gait analysis systems to prevent falls in physically challenged individuals, integrating wearable IoT sensors with machine learning algorithms like HMDTW, ANFIS, and PTBO . With 70+ research papers, 20+ awards, and several grants—including STPI and seed funds—he has built a robust research portfolio . His innovations, such as “Smart Shoe–Better Walking for Future,” exemplify translational research that bridges healthcare and technology . His work contributes to smart assistive technology, healthcare diagnostics, and predictive analytics, positioning him as a trailblazer in applied AI and IoT-driven solutions for human well-being .
🏅 Awards & Honors
Dr. Murthy is the recipient of numerous national and international honors, including the “Innovative Researcher of the Year 2024” 🥇, “STEM Best Research Award 2024” , and the prestigious Dr. A.P.J. Abdul Kalam National Academician Award 🧑🚀. He’s been celebrated with multiple Sastra Awards and Young Scientist recognitions across years . Institutions like Vignan’s and international bodies in the UK, Germany, and the US have acknowledged his exceptional contributions to research, innovation, and teaching . With over 20 awards and 100+ certificates of appreciation, Dr. Murthy exemplifies excellence, impact, and commitment in every dimension of academic life .
Publications Top Notes
An Automated Detection of Heart Arrhythmias Using Machine Learning Technique: SVM
Authors: CU Kumari, ASD Murthy, BL Prasanna, MPP Reddy, AK Panigrahy
Journal: Materials Today: Proceedings, Volume 45, Pages 1393–1398
Year: 2021
Citations: 228
📘 Summary:
This paper presents a machine learning-based system for the automated detection of heart arrhythmias using Support Vector Machine (SVM) algorithms. The study leverages ECG datasets to train and validate the model, achieving high classification accuracy in detecting irregular heartbeat patterns. The proposed system contributes significantly to early diagnosis and risk mitigation in cardiac care through non-invasive, real-time monitoring techniques.
AI-Oriented Competency Framework for Talent Management in the Digital Economy: Models, Technologies, Applications, and Implementation
Author: A. Khang
Publisher: CRC Press
Year: 2024
Citations: 63
📘 Summary:
Although Dr. Murthy is not listed as an author in this title, it appears in the list. This book outlines how Artificial Intelligence can transform talent management strategies in organizations operating within the digital economy. It discusses competency modeling, AI tools, and frameworks for workforce development. (Note: Please confirm Dr. Murthy’s involvement, as his name does not appear in the author list here.)
An IoT-Based Agriculture Maintenance Using Pervasive Computing with Machine Learning Technique
Authors: S Kailasam, SDM Achanta, P Rama Koteswara Rao, R Vatambeti, et al.
Journal: International Journal of Intelligent Computing and Cybernetics, Volume 15, Issue 2, Pages 184–197
Year: 2022
Citations: 61
📘 Summary:
This research introduces an IoT-driven smart agriculture model integrated with pervasive computing and machine learning algorithms. It monitors and manages agricultural parameters such as soil moisture, temperature, and irrigation efficiency. The system utilizes real-time data collection and predictive analytics to optimize farming practices, thereby enhancing productivity and sustainability in agriculture .
Implementation of Online and Offline Product Selection System Using FCNN Deep Learning: Product Analysis
Authors: MN Mohammad, CU Kumari, ASD Murthy, BOL Jagan, K Saikumar
Journal: Materials Today: Proceedings, Volume 45, Pages 2171–2178
Year: 2021
Citations: 53
📘 Summary:
This paper presents a product recommendation system using Fully Connected Neural Networks (FCNN) to support both online and offline retail environments. The model analyzes user behavior and product features to provide intelligent suggestions. The deep learning approach improves product visibility, customer satisfaction, and market analysis in e-commerce platforms .
A Wireless IoT System Towards Gait Detection Technique Using FSR Sensor and Wearable IoT Devices
Author: SDM Achanta
Journal: International Journal of Intelligent Unmanned Systems, Volume 8, Issue 1, Pages 43–54
Year: 2020
Citations: 50
📘 Summary:
This solo-authored paper by Dr. Murthy explores a wearable IoT-based solution for gait analysis using Force Sensitive Resistor (FSR) sensors. The system helps detect mobility patterns and abnormalities, primarily aimed at elderly and physically challenged individuals. It highlights the role of smart health devices in preventive diagnostics and rehabilitation .
📌 Conclusion
Dr. Achanta Sampath Dakshina Murthy is a distinguished academic, visionary innovator, and dedicated mentor who continues to push the boundaries of research and education . His commitment to societal advancement through intelligent healthcare systems and academic excellence makes him a role model in the scientific community . Through his leadership in startup incubation, research development, and student mentorship, he shapes the future of innovation in India and beyond . With a passion for continuous learning and contribution, Dr. Murthy stands as a beacon of interdisciplinary impact and scholarly inspiration .
