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Dr. Venkata Ramana Gupta Nallagattla

Assistant Professor (Sl. Gd.), Department of Computer Science and Engineering, School of Computing, Amaravati

Qualification: M. Tech., Ph. D., APSET 2012
nv_ramana@av.amrita.edu
ORCID ID
Google Scholar Profile
Scopus Author ID
Research Interest: Computer Networks, Underwater Computer Networks, WSN, ML, DL, Image Processing

Bio Publications Qualifications FDP / Workshops Invited Talks Patents Membership Awards
Bio

Dr. Venkata Ramana Gupta Nallagattla has been working as Assistant Professor (Sl. Gd.) in the Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Amaravati Campus Since 2024. He obtained his Ph.D.(CSE) from ANU and M. Tech. (Computer Science and Technology with specialization in computer Networks) from Andhra University College of Engineering, Visakhapatnam, AP. Qualified in APSET 2012. He had more than 29 Years of teaching experience. He had published Various Research Papers in SCI, Scopus as well as in reputed International Journals and Conferences. His areas of interest are Underwater Computer Networks, Computer Networks and Security, WSN, ML, DL, Image Processing.

Publications

Journal Article

Year : 2026

A novel knee osteoarthritis disease segmentation using multiresolution attentive-unet and classification using hybrid vision transformer with meerkat clan algorithm

Cite this Research Publication : Venkata Ramana Gupta Nallagattla, S. Thangam, K.Venkata Subba Reddy, G.Joel Sunny Deol, Guru Kesava Dasu Gopisetty, S.Harihara Gopalan, A novel knee osteoarthritis disease segmentation using multiresolution attentive-unet and classification using hybrid vision transformer with meerkat clan algorithm, Biomedical Signal Processing and Control, Elsevier BV, 2026, https://doi.org/10.1016/j.bspc.2025.109249

Publisher : Elsevier BV

Year : 2025

Blockchain-enabled IoT framework with energy-efficient machine learning for scalable and secure smart cities

Cite this Research Publication : Venkata Ramana Gupta Nallagattla, Amrita Rai, S. Thangam, G. Joel Sunny Deol, Abburi Srirama Kanaka Ratnam, J. Nageswara Rao, A. Santhi Mary Antony, K. Balasubramanian, Shamimul Qamar, Blockchain-enabled IoT framework with energy-efficient machine learning for scalable and secure smart cities, Sustainable Computing: Informatics and Systems, Elsevier BV, 2025, https://doi.org/10.1016/j.suscom.2025.101212

Publisher : Elsevier BV

Year : 2025

A Novel SegNet Segmentation with MobileNet Brain Tumor Classification Using MRI Images

Cite this Research Publication : G. Joel Sunny Deol, Pullagura Indira Priyadarsini, VenkataRamana Gupta Nallagattla, K. Amarendra, Koteswararao Seelam, B. Ramya Asa Latha, A Novel SegNet Segmentation with MobileNet Brain Tumor Classification Using MRI Images, SN Computer Science, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s42979-025-04013-1

Publisher : Springer Science and Business Media LLC

Year : 2024

A Multimodal Face and Fingerprint Authentication System Using Fuzzy Set Exponential Water Wave Optimization

Cite this Research Publication : G. Joel Sunny Deol, Pullagura Indira Priyadarsini, VenkataRamana Gupta Nallagattla, K. Amarendra, Koteswararao Seelam, B. Ramya Asa Latha, A Multimodal Face and Fingerprint Authentication System Using Fuzzy Set Exponential Water Wave Optimization, Journal of The Institution of Engineers (India): Series B, Vol : 105, Issue-3, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s40031-024-01073-4

Publisher : Springer Science and Business Media LLC

Year : 2023

Optimizing student engagement in edge-based online learning with advanced analytics

Cite this Research Publication : Rasheed Abdulkader, Firas Tayseer Mohammad Ayasrah, Venkata Ramana Gupta Nallagattla, Kamal Kant Hiran, Pankaj Dadheech, Vivekanandam Balasubramaniam, Sudhakar Sengan, Optimizing student engagement in edge-based online learning with advanced analytics, Array, Elsevier BV, 2023, https://doi.org/10.1016/j.array.2023.100301

Publisher : Elsevier BV

Year : 2019

Problematic Observations using Firefly Algorithm and its Variants

Cite this Research Publication : N. Venkata Ramana Gupta, Dr. Ramesh Makala, "Problematic Observations using Firefly Algorithm and its Variants," International Journal of Innovative Technology and Exploring Engineering, Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, ISSN: 2278-3075, Volume-9 Issue-2, 2019, https://doi.org/10.35940/ijitee.a4013.129219

Publisher : Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Conference Proceedings

Year : 2026

Adaptive E-Learning Path Recommendation System Using Probabilistic Reinforcement Learning and Generative AI Explanations

Cite this Research Publication : Alekhya Duggirala, Bhagyasree Yadlapalli, Vishnu Sai Nerella, Venkata Ramana Gupta Nallagattla, Adaptive E-Learning Path Recommendation System Using Probabilistic Reinforcement Learning and Generative AI Explanations, 2026 International Conference on Emerging Systems and Intelligent Computing (ESIC), IEEE, 2026, https://doi.org/10.1109/esic68176.2026.11496299

Publisher : IEEE

Year : 2025

A Multi-Feature Attention-Based CycleGAN for Sonar-to-Visual Domain Translation and Optimized YOLOv8-Based Underwater Object Detection

Cite this Research Publication : Rallabandi Devi Uma, Venkata Ramana Gupta Nallagattla, A Multi-Feature Attention-Based CycleGAN for Sonar-to-Visual Domain Translation and Optimized YOLOv8-Based Underwater Object Detection, 2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST), IEEE, 2025, https://doi.org/10.1109/giest66547.2025.11387233

Publisher : IEEE

Year : 2025

Leveraging Machine Learning Techniques for Intrusion Detection System Using UNSW-NB15 Dataset

Cite this Research Publication : V.S.R. Pavan Kumar Neeli, Venkata Ramana Gupta Nallagattla, Leveraging Machine Learning Techniques for Intrusion Detection System Using UNSW-NB15 Dataset, 2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST), IEEE, 2025, https://doi.org/10.1109/giest66547.2025.11387588

Publisher : IEEE

Conference Paper

Year : 2023

A Medical Model Built on Machine Learning to Evaluating the Relationship between the Depression and Living Standards

Cite this Research Publication : Suggala PragnaSri, Venkata Ramana Gupta Nallagattla, Shaik Ajajunnisa, Amarendra K, Pinninti Bhanu Phanindra, Sriram Parvathaneni, A Medical Model Built on Machine Learning to Evaluating the Relationship between the Depression and Living Standards, 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), IEEE, 2023, https://doi.org/10.1109/iccmc56507.2023.10083677

Publisher : IEEE

Year : 2022

Li-Fi Enables Reliable Communication of VLT for Secured Data Exchange

Cite this Research Publication : N. Venkata Ramana Gupta, G. Rajeshkumar, S. Arun Mozhi Selvi, Sudhakar Sengan, Arjun Subburaj, S. Priyadarsini, Rajasekar Rangasamy, "Li-Fi Enables Reliable Communication of VLT for Secured Data Exchange, Smart Innovation, Systems and Technologies," Springer Nature Singapore, Vol : 289, Issue 1,PP : 213-220, https://doi.org/10.1007/978-981-19-0011-2_20

Publisher : Springer Nature Singapore

Year : 2022

Convolutional Neural Networks based Enhanced Forest Monitoring System for Early Fire Detection

Cite this Research Publication : Adarsh Chatragadda, Sai Harsha Vardhan Chalasani, Nagasupriya Challa, N. Venkata Ramana Gupta, Prasanna Pravallika Oleti, K Amarendra, Convolutional Neural Networks based Enhanced Forest Monitoring System for Early Fire Detection, 2022 7th International Conference on Communication and Electronics Systems (ICCES), IEEE, 2022, https://doi.org/10.1109/icces54183.2022.9835783

Publisher : IEEE

Qualifications
  • M. Tech. (CSTCN)
  • Ph. D. (CSE)
  • APSET 2012
FDP / Workshops
  1. Attended NITTTR-Chennai PDP on “Emotional Intelligence” , 28-11-22 to 02-12-2022.
  2. Attended NITTTR-Chandigarh FDP on “Enhancing Research Capabilities for Academic Career Progression”, 05-09-2022 to 09-09-2022.
  3. Attended NITTTR-Chennai Professional Development Programme(PDP) on “Academic Leadership & Motivation”, 13-6-2022 to 17-06-2022.
  4. Completed NPTEL Certification on Accreditation and Outcome Based Learning on 25-09-2021.
  5. Participated in AICTE – STTP on “Practicing Cloud Computing with AWS” , Dept. of CS & IT and CSE, K L Deemed to be Univerisyt during 20-09-2021 to 25-09-2021.
Invited Talks
  • Acted as Resource person for delivering Hands-on Workshop on “Network Simulator3” NS3 Tool, at RVR & JC College of Engineering, Guntur.
Patents
  1. Patent published on “Prediction of Disease Using A Machine Learning Classifier on A Big Data Environment in Healthcare Communities”, for Patent No. 202141058627 dated 16-12-2021, published on 31-12-2021.
  2. Patent Published on “Mobile Equipment and A Modelling Method Using Natural Mating Algorithm (NMA)”, for patent No. 201741046420 dated 22-12-2017, published on 28-06-2019.
Membership
  • Professional Member of Association for Computing Machinery(ACM),USA
  • Life Member Indian Society for Technical Education (ISTE).
Awards
  • Received Certificate for exceptional contribution as college SPOC in Smart India Hackathon, 2025, Ministry of Education, Govt. of India.
  • Received Kalpa Acharya-(Best researcher Award) on 5th , Sep ‘2021 by Bharath Education Excellence(BEE) Awards, Brain O Vision Solutions, Hyderabad.
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