Assistant Professor

Mr Boddu L V Siva Rama Krishna

Department of Computer Science and Engineering

Interests

  • Medical Data Analysis using Numerical Data and Image Data
  • Data Mining
  • Machine Learning
  • Deep Learning
  • Full Stack Web Application Development

Education

2012

Vishnu Institute of Technology, Bhimavaram, Andhra Pradesh
India

BTech

2014

SRKR Engineering College,Bhimavaram, Andhra Pradesh
India

MTech

2023

Annamalai University,Chidambaram,TamilaNadu
India

PhD

Experience

  • 2016 to 2023 – Assistant Professor – SRKR Engineering College, Bhimavaram, AP

Research Interest

  • Developing Predictive Models for Early Detection and Diagnosis of Chronic Diseases
  • Exploring the use of Convolutional Neural Networks (CNNs) for Processing Large-scale Genomic Datasets
  • Detecting Complex Patterns in Gene Expression
  • Providing Insights into Genetic Disease Mechanisms
  • Creating Personalized Medical Diagnosis Tools by Combining Machine Learning and Patient-specific Data
  • Memberships

  • IEEE Member
  • Publications

    • Chigurupati, S., Vegesna, K., Siva Rama Krishna Boddu, L. V., Nookala, G. K. M., & Mudunuri, S. B. (2019). NO SQL Approach for Handling Bioinformatics Data Using MongoDB. In Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2018, Volume 2 (pp. 281-287). Springer Singapore.
    • Boddu LV Krishna, V Mahalakshmi, Gopala Krishna Murthy Nookala, Modelling a stacked dense network model for outlier prediction over medical-based heart prediction data, Journal of High Speed Networks, IOS Press, vol. Pre-press, no. Pre-press, pp. 1-16, 2023.
    • Boddu LV Siva Rama Krishna, V Mahalakshmi, Gopala Krishna Murthy Nookala, A Comprehensive Analysis on Outlier Prediction using Learning Approaches, 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC), IEEE, pp-566-573.
    • Subbarao Gogulamudi1 , M.Ananyaa2 , P.Alekhya Savithri3 , Boddu L V Siva Rama Krishna4, Abating the Prediction time taken by Neural Networks using parallelization methods, International Journal of Control and Automation, Vol. 13, No. 4, (2020), pp. 676 – 683.
    • Buddaraju Revathi, B. N. V. Narasimha Raju, Boddu L. V. Siva Rama Krishna, Ajay Dilip Kumar Marapatla, and S. Suryanarayanaraju. “Efficient deep learning models for Telugu handwritten text recognition.” Indonesian Journal of Electrical Engineering and Computer Science , Vol. 36, No. 3, December 2024, pp. 1564~1572.
    • Kothapalli, Pavan Kumar Varma, Cheepurupalli Raghuram, and Boddu LV Siva Rama Krishna. "Enhancing Dyslexia Detection and Intervention through Deep Learning: A Comprehensive Review and Future Directions." Algorithms in Advanced Artificial Intelligence (2024): 249-256.
    • Saranya, V. S., Vijaya Krishna Sonthi, Prasanthi Boyapati, Boddu LV Siva Rama Krishna, Ganesh Naidu Ummadisetti, and P. V. Naresh. "An Iot Machine Learning Approach for Visually Impaired People Walking Indoors and Outdoors." International Journal of Intelligent Systems and Applications in Engineering 12, no. 6s (2024): 121-129.
    • Krishna, Boddu LV, V. Mahalakshmi, and Gopala Krishna Murthy Nookala. "Modelling a stacked dense network model for outlier prediction over medical-based heart prediction data." Journal of High Speed Networks Preprint (2023): 1-16.
    • Krishna, Boddu LV Siva Rama, V. Mahalakshmi, and Gopala Krishna Murthy Nukala. "A Stacking Model for Outlier Prediction using Learning Approaches." International Journal of Intelligent Systems and Applications in Engineering 12.2s (2024): 629-638.
    • Boddu L V Siva Rama Krishna, et al. 2023. A Dense Network Model for Outlier Prediction Using Learning Approaches. International Journal on Recent and Innovation Trends in Computing and Communication. 11, 11 (Dec. 2023), 548–559. DOI:https://doi.org/10.17762/ijritcc.v11i11.9993.
    • Krishna, Boddu LV Siva Rama, V. Mahalakshmi, and Gopala Krishna Murthy Nookala. "A Comprehensive Analysis on Outlier Prediction using Learning Approaches." 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC). IEEE, 2022.
    • Chigurupati, Swaroop, Kiran Vegesna, L. V. Siva Rama Krishna Boddu, Gopala Krishna Murthy Nookala, and Suresh B. Mudunuri. "NO SQL Approach for Handling Bioinformatics Data Using MongoDB." In Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2018, Volume 2, pp. 281-287. Springer Singapore, 2019.

    Patents Published:

    • Title of the invention : Title of the invention : Innovative Eye Deep-Net Multi-Class Retinal Disease Diagnosis with Deep Neural Networks (DNN) ( Application Number: 202541013853 A)
    • Title of the invention : Machine Learning Enhanced IoT Platform Form Patient Monitoring(Application Number: 202441062521 A)
    • Title of the invention : A Machine Learning Method For The Large Scale Of Evaluation Of Urban Visual Environment (Application Number: 202341047060 A)
    • Title of the invention : Multi Objective Optimization Technique For Task Scheduling In Cloud Computing Environment (Application Number: 202441000626 A)

    Contact Details

    • E-mail id:sivaramakrishna.b@srmap.edu.in
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