Academics > Departments

Information Technology (IT)

Dr. Ravi Kumar Suggala

Assistant Professor |

Ph.D. : CSE, Centurion University of Technology and Management, Odisha – 2023.
M.Tech. : CSE, Jawaharlal Nehru Technological University, Kakinada- 2012.
M.Sc. : Information System, Andhra University College of engineering – 2004
B.C.A : Computer Science, Nagarjuna University – 2002

Teaching Experience : 19 Years
SVECW Employee ID : 1208
AICTE Registration ID : 1-459470963

  • Machine Learning
  • Deep Learning
  • Security
  • Full stack application Developer
  • ISTE Life Member
  • CSI
  • IEI
  • Ravi Kumar Suggala, Dr.M.Vamsi Krishna. (2019). A survey on prediction approaches for epidemic disease outbreaks based on social media data. International Journal of Advanced Trends in Computer Science and Engineering, 8(3), pp.897–908. doi:https://doi.org/10.30534/ijatcse/2019/86832019.
  • Ravi Kumar Suggala, M. Vamsi Krishna and Swain, S.K. (2023). Reliable Epidemic Outbreak Prevention in Opportunistic IOT Based On Optimized Block Chain. International Journal of Automation and Smart Technology, 13(1), pp.2410–2410. doi:https://doi.org/10.5875/ausmt.v13i1.2410.
  • Ravi Kumar Suggala, Krishna, M.V. and Swain, S.K. (2022). Health monitoring jeopardy prophylaxis model based on machine learning in fog computing. Transactions on Emerging Telecommunications Technologies. doi:https://doi.org/10.1002/ett.4497.
  • Ravi Kumar Suggala, Dr.Vamsi Krishna. and Dr. Swain Sangram.K. (2023). Discover the New Factor for Dengue Fever Outbreaks and Predicted using Bayes Network-PSO (BN-PSO). Journal of Information Science and Engineering, [online] 39(6), pp.1383–1401. doi:https://doi.org/10.6688/JISE.202311_39(6).0009.
  • Ravi Kumar Suggala., Krishna, M.Vamsi. and Swain, S.K. (2023). Automated outbreak prediction of epidemic diseases using Machine Learning based Global pre-emptive scheme. European Chemical Bulletin, 12(10), pp.1468–1489. doi:https://doi.org/10.48047/ecb/2023.12.10.099.
  • Ravi Kumar Suggala, Swain, S.K., M. Vamsi Krishna and Ramchandrapur (2021). Time Series Data based COVID-19 Prognostic using Support Vector Machine. International journal of engineering research and technology, 9(5).
  • Ravi Kumar Suggala, Vamsi, K. and Sangram Keshari, S. (n.d.). Deep Belief Neural Network (DBN) and Whale Optimization Algorithm (WOA) for the Prediction of Disease from EHR. TEST Engineering and management, 83(May – June 2020), pp.14268–14276.
  • Ravi Kumar Suggala, Vadrevu. P.K. and Gadiraju, T.V. (n.d.). Big Data Expansion and Challenges. International Journal of engineering Research and Technology, 4(34), pp.58–68.
  • Ravi Kumar Suggala, Vadrevu.P.K. And Gadiraju, T.V. (n.d.). Contemporary Energy Optimization for Mobile and Cloud Environment. International Journal of Computational Engineering Research, 6(09), pp.6–16
  • Achieved as NPTEL “ Elite ” Certificate on “Programming in C++ (8 Weeks) Course” in the Jul-Sept 2016 ,Conducted by IIT Kharagpur
  • Dr. Ravi Kumar Suggala attended the FDP on Power of visualization in analytics conducted by BVRIT Hyderabad on 16 Aug- 21 Aug 2023.
  • Dr. Ravi Kumar Suggala participated in a FDP on “Large Language Models in Artificial Intelligence ” conducted by Andhra Pradesh Information Technology Academy from 4th Oct 2023- 7th Oct 2023.
  • Dr. Ravi Kumar Suggala participated in two week Refresher Course on “Machine learning and Data Science” conducted by JNTUH from 11th Sept 2023- 25th Sept 2023.
  • Dr. Ravi Kumar Suggala participated in one week FDP on “Machine learning and Deep learning” conducted by Aditya Engineering college from 26th Dec 2023- 30th Dec 2023.
  • Dr. Ravi Kumar Suggala acted as a reviewer for the “18th INDIACom, 11th 2024 International Conference on Computing for Sustainable Global Development” in February 2024.
  • Dr. Ravi Kumar Suggala acted as a reviewer for the “Journal of Supercomputing.
  • Dr. Ravi Kumar Suggala reviewed a book Chapter titled “ Recognition of Corona Virus Disease (COVID-19) using Deep Learning Network” from BP International Publishers
  • Guest Lecture on Java Programming to Final Year Polytechnic students at Smt. B. Seetha Polytechnic College, Bhimavaram