Assistant Professor (Ad-Hoc)

Mr P Udayaraju

Department of Computer Science and Engineering

Interests

  • Image Processing
  • Deep Learning
  • Internet of Things

Faculty Details

Education

2004

SKV High School
10th Class
Kuchipudi

2006

Sari Sai Jr College
Intermediate

2010

VR Siddhartha Engineering College
Vijayawada, Affiliated to Acharya Nagarjuna University, AP
B. Tech (CSE)

2014

SRKR Engineering College
Bhimavaram, Affiliated to JNTUK, AP
M.Tech (CST)

2024

Sathyabama Institute of Science and Technology, Chennai.
PhD (Pursuing)

Experience

  • 11 year 9 months of work experience as an Assistant Professor in SRKR Engineering College, Bhimavaram, Andhra Pradesh, India.

Research Interests

  • A combined U-Net and multi-class support vector machine learning models for diabetic retinopathy macula edema segmentation and classification DME.
  • Convolution neural network model for predicting various lesion-based diseases in diabetic macula edema in optical coherence tomography images.
  • A hybrid multilayered classification model with VGG-19 net for retinal diseases using optical coherence tomography images.
  • Early Diagnosis of Age-Related Macular Degeneration (ARMD) Using Deep Learning.
  • Developing a region-based energy-efficient IoT agriculture network using region- based clustering and shortest path routing for making sustainable agriculture environment.
  • Artificial neural network-based secured communication strategy for vehicular ad hoc network

Publications

 Journal Publication:
  • Mahesh I. Venkata, and P. Udaya Raju. "International Journal of Engineering Sciences & Research Technology Efficient Search Driven Over Boolean Retrieval Formulation.", IJESRT, Vol.4, Issue.11, pp.161-169, 2015.
  • Udayaraju, P., K. Suvarnavani, and Chandra Sekhar Vasamsetty. "Analysis of Different Bioinformatics Analytic Procedures in Biomedical Big Data Evaluation.", IJCSIS, Vol.14, S. Issue.1, pp.116-123, 2016.
  • Udayaraju P, Bharat Siva Varma P, Jeevana Sujitha M, “A survey of methods for genome functional analysis in comparative genomics”, International Journal of Engineering and Technology (UAE), Special Issue 12, Vol.7, pp. 681–688, 2018.
  • Appana Nagarjuna, Udayaraju Pamula. “Secure and access control data monitoring in vehicular ad HOC network”, International Journal of Innovative Technology and Exploring Engineering, Issue 8, Vol. 10, pp. 4145–4149, 2019.
  • M.Jeevana Sujitha, Udayaraju P, Kranthi V. “A review of different machine learning models to analyze collective behavior in social networks”, International Journal of Recent Technology and Engineering, Issue 7, Vol.6, pp. 799–804. 2019.
  • Saroja P, Udayaraju P, Sureesha B. “A survey on large scale bio-medical data implementation methods”, international Journal of Pharmaceutical Research, Issue 11, Vol. 1, pp. 649–656, 2019.
  • P. Udayaraju, Ragha veni J, Penmetsa Jahnavi, “Hierarchal Machine Learning Approach to Explore Automatic Seizure Detection in EEG”, Annals of RSCB, vol. 25, no. 7, pp. 765–779, Sep. 2021.
  • Maddala Janakidevi, T. V. K. P. Prasad, Pamula Udayaraju, “An Improved Deep Convolutional Neural Network (DCNN) for finding the Fish Freshness”, Annals of RSCB, vol. 25, no. 7, pp. 1341–1349, Nov. 2021.
  • Sekhar, B.V.D.S., Udayaraju, P., Kumar, N.U. et al. Artificial neural network-based secured communication strategy for vehicular ad hoc network. Soft Comput 27, 297–309 (2023) https://doi.org/10.1007/s00500-022-07633-4.
  • Reddy, V.P., Prasad, R.M., Udayaraju, P. et al. Efficient medical image security and transmission using modified LZW compression and ECDH-AES for telemedicine applications. Soft Comput 27, 9151–9168 (2023). https://doi.org/10.1007/s00500-023-08499-w.
  • Udayaraju P, Narayana TV, Vemparala SH, Srinivasarao C, Raju BSRK. GW- CNNDC: Gradient weighted CNN model for diagnosing COVID-19 using radiography X-ray images. Measur Sens. 2023 Jun; 27:100735. https://doi.org/10.1016/j.measen.2023.100735 . Epub 2023 Mar 20. PMID:
  • Priyanka, B., Udayaraju, P., Koppireddy, C.S., & Neethika, A. (2023). “Developing a region-based energy-efficient IoT agriculture network using region- based clustering and shortest path routing for making sustainable agriculture environment”, Measurement: Sensors, Vol. 27, Jun 2023. https://doi.org/10.1016/j.measen.2023.100734.
  • Udayaraju, P., Murthy, K.S., Jeyanthi, P. et al. A combined U-Net and multi-class support vector machine learning models for diabetic retinopathy macula edema segmentation and classification DME. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08690-z.
  • Udayaraju, P., Jeyanthi, P. & Sekhar, B.V.D.S. A hybrid multilayered classification model with VGG-19 net for retinal diseases using optical coherence tomography images. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08928-w.
  • Armghan, A., Lavadiya, S., Udayaraju, P., Alsharari, M., Aliqab, K., & Patel, S. K. (2023). Sickle-shaped high gain and low profile based four port MIMO antenna for 5G and aeronautical mobile communication. Scientific reports, 13(1), 15700. https://doi.org/10.1038/s41598-023-42457-8.
  • Kumar, L.K., Thatha, V.N., Udayaraju, P., Siri, D., Kiran, G.U., Jagadesh, B.N., & Vatambeti, R. (2024). Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis. IEEE Access, 12, 28972-28987.
  • H. Duraivelu, Dhamodharan, P. Udayaraju, Prakash, Murugesan, “Performance Comparison of Different Digital and Analog Filters Used for Biomedical Signal and Image Processing”, JITM, Vol. 16, Issue 1, 2024.
  • K. Durga Bhavani, T. Rajasri, N. Ramadevi, T.Srinivasa Rao, P. Udayaraju , T.Venkata Narayana, “Artificial Intelligence Classification for IT Ticketing Data Using Improved Feature Analysis Techniques”, Journal of Harbin Engineering University, Vol. 45, Issue 06, June 2024.

Research Papers Published in Conferences(3):

  • Udayaraju, P., Jeyanthi, P. (2022). Early Diagnosis of Age-Related Macular Degeneration (ARMD) Using Deep Learning. Intelligent Systems and Sustainable Computing. Smart Innovation, Systems and Technologies, vol 289. Springer, 2022, Singapore. https://doi.org/10.1007/978-981-19-0011-2_59.
  • Srinivasarao, T., Priyanka, B., Udayaraju, P., Narayana, T.V., Vinod Varma, C., Srinivas, L.V. (2023). An Integrated Learning Approach for Detecting Plant Diseases. In: Reddy, V.S., Prasad, V.K., Wang, J., Rao Dasari, N.M. (eds) Intelligent Systems and Sustainable Computing. ICISSC 2022. Smart Innovation, Systems and Technologies, vol 363. Springer, Singapore. https://doi.org/10.1007/978-981-99-4717-1_42.
  •  Udayaraju, P., Prasanth Kumar, G., Durga Bhavani, K., Vinod Varma, C., Narayana, T.V., Jahnavi, P. (2023). Secured Communication Strategy for Vehicular Ad-Hoc Network. In: Reddy, V.S., Prasad, V.K., Wang, J., Rao Dasari, N.M. (eds) Intelligent Systems and Sustainable Computing. ICISSC 2022. Smart Innovation, Systems and Technologies, vol 363. Springer, Singapore. https://doi.org/10.1007/978-981-99-4717-1_38.

Contact Details

  • E-mail id: udayaraju.p@srmap.edu.in
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