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Dr. Dasari Naga Vinod

Assistant Professor, Department of Electronics and Communication Engineering, Amrita School of Engineering, Chennai Campus

Qualification: B.Tech., M.Tech., Ph.D.
Research Interest: IoT, Embedded Systems, Image Processing, Machine Learning, Deep Learning

Bio

Dr. Dasari Naga Vinod currently serves as an Assistant Professor in the Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai Campus.

He has more than four years of Teaching and Research Experience. He has published 8+ Research Articles in Peer-reviewed International Journals (SCI, SCIE, and Scopus-indexed journals) with the highest Impact Factor of 5.6 and 4 Book Chapters. In addition to that, he has published 3 Indian Patents and attended various International Conferences, Faculty Development programs, Workshops, and Training Programs. Presently, he is an Active Reviewer for Peer-reviewed journals. He has been an active IEEE member since 2022.

Publications

Conference Proceedings

Year : 2026

Transfer Learning Models for Robust Cardamom Leaf Disease Detection

Cite this Research Publication : Dasari Naga Vinod, Rahul S G, Vijay Kumar Gowda B N, P. Dharmesh, A. Mohan, Ch. Siva Krishna Reddy, Transfer Learning Models for Robust Cardamom Leaf Disease Detection, 2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing (ICAUC), IEEE, 2026, https://doi.org/10.1109/icauc68182.2026.11440981

Publisher : IEEE

Year : 2025

CNNs for Early Detection of Plant Diseases: A Deep Learning Perspective

Cite this Research Publication : Dasari Naga Vinod, R. Sai Revanth, B. Bhaskar, P. Jaya Prakash, CNNs for Early Detection of Plant Diseases: A Deep Learning Perspective, 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), IEEE, 2025, https://doi.org/10.1109/icmcsi64620.2025.10883238

Publisher : IEEE

Year : 2025

Transforming Ophthalmology: A CNN-Based Mechanism for Diabetic Retinopathy Screening

Cite this Research Publication : Dasari Naga Vinod, N. Sai Varshini, M. Shukriya, G. Sai Manusha, Transforming Ophthalmology: A CNN-Based Mechanism for Diabetic Retinopathy Screening, 2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T), IEEE, 2025, https://doi.org/10.1109/icpc2t63847.2025.10958749

Publisher : IEEE

Year : 2025

Hybrid CNN-LSTM Framework for Accurate Seismic Event Prediction

Cite this Research Publication : Dasari Naga Vinod, N Kapileswar, Judy Simon, Padmavathi B, Phani Kumar Polasi, Hybrid CNN-LSTM Framework for Accurate Seismic Event Prediction, 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS), IEEE, 2025, https://doi.org/10.1109/icmlas64557.2025.10968633

Publisher : IEEE

Year : 2025

Enhancing Battery Durability: Early Life Cycle Prediction Through Machine Learning

Cite this Research Publication : Dasari Naga Vinod, N Kapileswar, Judy Simon, Aarthi Elaveini M, Phani Kumar Polasi, Enhancing Battery Durability: Early Life Cycle Prediction Through Machine Learning, 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS), IEEE, 2025, https://doi.org/10.1109/icmlas64557.2025.10967909

Publisher : IEEE

Year : 2024

An Intelligent Emotion Recognition System based on Speech Terminologies using Artificial Intelligence Assisted Learning Scheme

Cite this Research Publication : N. Kapileswar, Judy Simon, K. Kavitha Devi, Phani Kumar Polasi, Dasari Naga Vinod, Chappagadda Harish, An Intelligent Emotion Recognition System based on Speech Terminologies using Artificial Intelligence Assisted Learning Scheme, 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), IEEE, 2024, https://doi.org/10.1109/iconstem60960.2024.10568813

Publisher : IEEE

Year : 2024

Riddance of Weed Using an Agri-Robot Employed by Arduino and ESP32 CAM

Cite this Research Publication : Dasari Naga Vinod, B. Bhaskar, B. Ravi Teja, A. Kamalesh, Riddance of Weed Using an Agri-Robot Employed by Arduino and ESP32 CAM, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2024, https://doi.org/10.1109/icccnt61001.2024.10724013

Publisher : IEEE

Book Chapter

Year : 2025

Unveiling Potato Leaf Diseases: A Deep Learning Approach for Identification

Cite this Research Publication : Dasari Naga Vinod, S. V. L. Sai Neha, N. Sai Varshini, M. Shukriya, Unveiling Potato Leaf Diseases: A Deep Learning Approach for Identification, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-96-2299-3_6

Publisher : Springer Nature Singapore

Year : 2025

Leveraging Predictive Analytics for Fertilizer Application and Crop Yield Optimization

Cite this Research Publication : Dasari Naga Vinod, G. Mahesh, D. Keerthi Priya, G. V. Madhulika Vaneswari, Leveraging Predictive Analytics for Fertilizer Application and Crop Yield Optimization, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-96-4148-2_37

Publisher : Springer Nature Singapore

Year : 2025

Future Effectual Aspects of Surveillance at LoC: A Systematic Analysis of Smart Sensors, IoT and Drones

Cite this Research Publication : Dasari Naga Vinod, R. Asha, G. Kavitha, N. Kapileswar, Judy Simon, Polasi Phani Kumar, Future Effectual Aspects of Surveillance at LoC: A Systematic Analysis of Smart Sensors, IoT and Drones, Lecture Notes in Electrical Engineering, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-95-0269-1_29

Publisher : Springer Nature Singapore

Year : 2019

Intelligent Farming With Surveillance Agribot

Cite this Research Publication : Dr. Tripty Singh and Vinod, D. Naga, “Intelligent Farming With Surveillance Agribot”, in Applications of Image Processing and Soft Computing Systems in Agriculture, IGI Global, 2019.

Publisher : Applications of Image Processing and Soft Computing Systems in Agriculture, IGI Global, 2019.

Journal Article

Year : 2025

Optimizing Geographical Weather Data Structures Using IoT and Discriminant Models

Cite this Research Publication : , Optimizing Geographical Weather Data Structures Using IoT and Discriminant Models, International Journal of Civil Engineering, Seventh Sense Research Group Journals, 2025, https://doi.org/10.14445/23488352/ijce-v12i8p108

Publisher : Seventh Sense Research Group Journals

Year : 2024

Four wave mixing, average amplified spontaneous emission, and channel spacing effects on the optical transceiver systems based on multi pumped Raman amplifiers

Cite this Research Publication : Ramachandran Thandaiah Prabu, Judy Simon, Nellore Kapileswar, Dasari Naga Vinod, Phani Kumar Polasi, Hazem Hazem Ali Emam, Four wave mixing, average amplified spontaneous emission, and channel spacing effects on the optical transceiver systems based on multi pumped Raman amplifiers, Journal of Optical Communications, Walter de Gruyter GmbH, 2024, https://doi.org/10.1515/joc-2024-0040

Publisher : Walter de Gruyter GmbH

Year : 2024

Validation and Performance Contrast of Deep Neural Network Based Mechanism for Real-Time Automatic Safety Helmet Detection

Cite this Research Publication : Dasari Naga Vinod, Kapileswar N, Judy Simon, Phani Kumar Polasi, Padmavathi B, Partho Adhikari, Validation and Performance Contrast of Deep Neural Network Based Mechanism for Real-Time Automatic Safety Helmet Detection, International Journal of Electrical and Electronics Engineering, Seventh Sense Research Group Journals, 2024, https://doi.org/10.14445/23488379/ijeee-v11i5p110

Publisher : Seventh Sense Research Group Journals

Year : 2024

Prognosis of COVID-19 Using Ultrasound Scans Augmented by Generative Adversarial Networks

Cite this Research Publication : , Prognosis of COVID-19 Using Ultrasound Scans Augmented by Generative Adversarial Networks, International Journal of Intelligent Engineering and Systems, The Intelligent Networks and Systems Society, 2024, https://doi.org/10.22266/ijies2024.0831.45

Publisher : The Intelligent Networks and Systems Society

Year : 2023

COVID-19-The Role of Artificial Intelligence, Machine Learning, and Deep Learning: A Newfangled

Cite this Research Publication : Dasari Naga Vinod, S. R. S. Prabaharan, COVID-19-The Role of Artificial Intelligence, Machine Learning, and Deep Learning: A Newfangled, Archives of Computational Methods in Engineering, Springer Science and Business Media LLC, 2023, https://doi.org/10.1007/s11831-023-09882-4

Publisher : Springer Science and Business Media LLC

Year : 2023

Machine Learning Based Solar Photovoltaic Power Forecasting: A Review and Comparison

Cite this Research Publication : Jwaone Gaboitaolelwe, Adamu Murtala Zungeru, Abid Yahya, Caspar K. Lebekwe, Dasari Naga Vinod, Ayodeji Olalekan Salau, Machine Learning Based Solar Photovoltaic Power Forecasting: A Review and Comparison, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2023, https://doi.org/10.1109/access.2023.3270041

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2023

Elucidation of infection asperity of CT scan images of COVID-19 positive cases: A Machine Learning perspective

Cite this Research Publication : Dasari Naga Vinod, S.R.S. Prabaharan, Elucidation of infection asperity of CT scan images of COVID-19 positive cases: A Machine Learning perspective, Scientific African, Elsevier BV, 2023, https://doi.org/10.1016/j.sciaf.2023.e01681

Publisher : Elsevier BV

Year : 2021

Fully automated unified prognosis of Covid-19 chest X-ray/CT scan images using Deep Covix-Net model

Cite this Research Publication : Dasari Naga Vinod, B. Rebecca Jeyavadhanam, Adamu Murtala Zungeru, S.R.S. Prabaharan, Fully automated unified prognosis of Covid-19 chest X-ray/CT scan images using Deep Covix-Net model, Computers in Biology and Medicine, Elsevier BV, 2021, https://doi.org/10.1016/j.compbiomed.2021.104729

Publisher : Elsevier BV

Year : 2021

Fully automated unified prognosis of Covid-19 chest X-ray/CT scan images using Deep Covix-Net model

Cite this Research Publication : Dasari Naga Vinod, B. Rebecca Jeyavadhanam, Adamu Murtala Zungeru, S.R.S. Prabaharan, Fully automated unified prognosis of Covid-19 chest X-ray/CT scan images using Deep Covix-Net model, Computers in Biology and Medicine, Elsevier BV, 2021, https://doi.org/10.1016/j.compbiomed.2021.104729

Publisher : Elsevier BV

Year : 2020

Data science and the role of Artificial Intelligence in achieving the fast diagnosis of Covid-19

Cite this Research Publication : Dasari Naga Vinod, S.R.S. Prabaharan, Data science and the role of Artificial Intelligence in achieving the fast diagnosis of Covid-19, Chaos, Solitons & Fractals, Elsevier BV, 2020, https://doi.org/10.1016/j.chaos.2020.110182

Publisher : Elsevier BV

Conference Paper

Year : 2022

Correlation and Causation in the Perspective of COVID-19: An Empirical Study on Canonical Correlation Analysis

Cite this Research Publication : Dasari Naga Vinod, Casper K. Lebekwe, Adamu Murtala Zungeru, D. Menaka, Correlation and Causation in the Perspective of COVID-19: An Empirical Study on Canonical Correlation Analysis, 2022 International Conference on Smart Applications, Communications and Networking (SmartNets), IEEE, 2022, https://doi.org/10.1109/smartnets55823.2022.9993985

Publisher : IEEE

Year : 2020

IoT Inflated Defense Surveillance Entity Applying Human Intelligence via Faster R-CNN: An Approach

Cite this Research Publication : Dasari Naga Vinod, S.R.S. Prabaharan, IoT Inflated Defense Surveillance Entity Applying Human Intelligence via Faster R-CNN: An Approach, 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), IEEE, 2020, https://doi.org/10.1109/icecce49384.2020.9179223

Publisher : IEEE

Year : 2018

Autonomous Agricultural Farming Robot in Closed Field

Cite this Research Publication : D. N. Vinod and Dr. Tripty Singh, “Autonomous Agricultural Farming Robot in Closed Field”, 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information Communication Technology (RTEICT). IEEE, Bangalore, India, 2018.

Publisher : 3rd IEEE International Conference on Recent Trends in Electronics, Information& Communication Technology- RTEICT2018

Academic Qualifications
2019– 2022 Ph.D. (Electronics and Communication Engineering) – Admitted through GATE-2016 SRM Institute of Science and Technology, Chennai, Tamil Nadu. Dissertation Title: Investigations on Fast Prognosis and Asperity Identification of COVID-19 Using Radiography Images Enabled by Applied Intelligence.
2016 – 2018 M. Tech. (Embedded Systems) – Admitted through GATE-2016 Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, Karnataka.
2012 – 2016 B.Tech (Electronics and Communication Engineering) Tenali Engineering College, affiliated to JNTU – Kakinada, Andhra Pradesh.
Professional Appointments
27 May 2026 to Present Assistant Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai Campus
02, February 2022 – 25, May 2026 Assistant Professor, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (Category-1, Deemed to be University; NAAC: A++ Grade), Chennai, Tamil Nadu, India.
Additional Roles & Responsibilities Carried
  • Programming Club Coordinator – Organized Programming Contests for students. (AY: 2022-2023) at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai.
  • NBA and NAAC Coordinator – Department data collection and PPT preparation (AY: 2022-2026) at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai.
  • FAAR Coordinator – Faculty FDP/Events/Webinars/STTP data collection              (AY: 2022-2023), at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai.
  • Deputed as a Personal Secretary to the Dean – School of Electrical and Communication (April 2023 – May 2026) at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai.
  • One of the Tech Gurus for Vel Tech – AICTE – IDEA Lab – Organizing Events like Workshops / STTP / FDP. (April, 2025 – May 2026)
Awards & Recognitions
  1. GATE (Graduate Aptitude Test in Engineering) – 84 Percentile in April 2016.
  2. Obtained a Research Award worth Rs 25,000/- for a high-impact-factor publication for the CY: 2023 at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu.
  3. Received Research Development Fund worth Rs 75,000/- for the CY: 2023 at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu.
  4. Obtained a Research Award worth Rs 10,000/- for the CY: 2024 at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu.
  5. Obtained a Research Award worth Rs 12,500/- for the CY: 2025 at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu.
Technical Skills
  • MATLAB
  • Arduino
  • Anaconda-Jupyter
  • Weka
  • Google Colab
  • Keil
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