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Dr. Venkata Ramana Gupta Nallagattla

Assistant Professor (Sl. Gd.), 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

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. Previously Worked at Prasad V. Potluri Siddhartha Institute of Technology (PVPSIT) (Autonomous) Vijayawada, Andhra Pradesh. He obtained his Ph. D. (CSE) from Acharya Nagarjuna University 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 26 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. He is Professional Member of ACM and Life Member of ISTE.,

Publications

Journal Article

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 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.
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 Kalpa Acharya-(Best researcher Award) on 5th , Sep ‘2021 by Bharath Education Excellence(BEE) Awards, Brain O Vision Solutions, Hyderabad.
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