Dr. Narendra Kumar Rao Bangole
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Dr. Narendra Kumar Rao Bangole

Professor and HOD
Sree Vidyanikethan Engineering College, India

Highest Degree
Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technical University, India

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Biography

Mr. Bangole Narendra Kumar Rao is currently working as Associate Professor and Head of Department of Computer Science and Engineering at Sree Vidyanikethan Engineering College, Tirupati. He has completed his Master of Technology (2004) in Computer Science and Engineering, JNTU Anantapur. His area of interest focuses on Software Testing, Software Project Management, Embedded Systems, Operating Systems, and Internet of Things. He has published 14 research articles in journals and conferences. He is member of International Association of Computer Science and Information Technology (IACSIT), International Association of Engineers, and Computer Society of India, Indian Society for Technical Education, and Computer Science Teachers Association. He is also serving as member of editorial board in journals such as International Journal of Software Engineering, Egypt, International Journal of Communication and Computer Technologies, Ethiopia, International Journal of Electronics and Computer Science Engineering, India, and Society of Electronics and Computer Engineering Journal, India.

Area of Interest:

Computer Sciences
100%
Software Testing
62%
Operating Systems
90%
Software Project Management
75%
Embedded Systems
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Gurumurthy, S., R. Rajagopal and A. AjayAshar, 2019. Color blindness correction using augmented reality. Madridge J. Bioinform. Syst. Biol., 1: 740-742.
  2. Gurumoorthy, S., N.B. Muppalaneni, C. Sekhar and G.S. Kumari, 2019. Epilepsy analysis using open source EDF tools for information science and data analytics. Int. J. Commun. Syst., 10.1002/dac.4095.
    CrossRef  |  Direct Link  |  
  3. Rajagopal, R., S. Gurumurthy, H. Chachuliya and M. Deka, 2018. Personalized fitness program using k-means clustering. Int. J. Eng. Technol., 4: 740-742.
  4. Lalitha, A.T.K., M. Ismail and S. Gurumurthy, 2017. Design of an intelligent shopping basket using IoT. Int. J. Pure Applied Math., 114: 141-147.
  5. Gurumurthy, S., M. Ramu, B.D.K. Kumar and Joshnavi, 2017. Intelligent security system design for healthcare data in cloud through encryption mechanisms. Int. J. Digital Integr. Syst. Eng., 1: 1-13.
  6. Gurumurthy, S., K. Raja, Chandra and Sivaprakash, 2017. Intelligent design for sms module by ranked based pre-emptive job scheduling algorithm. Int. J. Elect. Instrument. Elect. Eng., 1: 1-7.
  7. Gurumurthy, S., 2017. Modern car parking system using microcontroller and smart intelligent application system techniques. Int. J. Eng. Res. Comput. Sci. Eng., 4: 161-164.
  8. Gurumurthy, S., 2016. Information of bug: Cohesive bug recording tool for Network Management System (NMS) serviceability. J. Opt. Commun. Electron., 2: 1-13.
  9. Gurumurthy, S., 2016. Design and implementation of safe multifactor verification for customer payment method using NFC. Int. J. Eng. Res. Comput. Sci. Eng., 2: 25-31.
  10. Gurumurthy, S., 2016. Design and implementation of computerizing dealership management software. J. Inform. Technol. Sci., 2: 1-13.
  11. Venkatesan, S. and S. Gurumurthy, 2015. Design and implementation of biometrics in networks. J. Technol. Adv. Scient. Res., 1: 226-234.
  12. Gurumurthy, S. and B.K. Tripathy, 2015. Perforamnce enhancement for automated analysis in human brain signal processing to finding Alzheimer’s syndrome using intelligent techniques. IIOAB J., 6: 43-49.
    Direct Link  |  
  13. Gurumurthy, S. and B.K. Tripathy, 2015. Classification and analysis of EEG brain signals for finding epilepsy risk levels using SVM. World Applied Sci. J., 33: 631-639.
  14. Gao, X.Z., S. Gurumurthy and S. Venkatesan, 2015. Improved CPU utilization using advanced fuzzy based CPU scheduling algorithm (AFCS). Int. J. Electr. Sci. Eng., 1: 1-5.
  15. Sravani, M., S. Sonwani and S.K. Gurumurty, 2014. Performance analysis of NI real time hypervisor using decision making algorithms. Int. J. Adv. Res. Comput. Commun. Eng., 3: 8630-8635.
  16. Rao, B.N.K. and A.R.M. Reddy, 2014. Frequent segment clustering of test cases for test suite reduction. WSEAS Trans. Comput., 13: 368-380.
    Direct Link  |  
  17. Rao, B.N.K. and A.R.M. Reddy, 2014. Frequent item test case clustering based test suite reduction. Mediterr. J. Comput. Networks, 10: 249-260.
  18. Janani, P., S. Gurumurthy and A. Nandhini, 2014. A study and survey of e-learning in modern world. Int. J. Applied Eng. Res., 9: 6799-6812.
  19. Gurumurthy, S.K., T.S. Shankar and N. Babu, 2014. Monitoring company status on single dashboard by using GRC. Int. J. Soft Comput. Eng., 4: 218-220.
  20. Gurumurthy, S., T.N. Babu and G.S. Shankar, 2014. An approach for security and privacy enhancing by making use of distinct clouds. Int. J. Soft Comput. Eng., 4: 214-217.
  21. Gurumurthy, S., N.C. Senthilkumar and M.R. Ghalib, 2014. A study of digital signal processing application for remote patient monitoring system using live EEG data transmission. Int. J. Applied Eng. Res., 9: 4683-4692.
  22. Bangole, N.K.R. and R.M.R. Ambati, 2014. Maximal Frequent Sequence Based Test Suite Reduction Through DU-Pairs. Comput. Sci. Tech., 2: 275-288.
    CrossRef  |  Direct Link  |  
  23. Rao, B.N.K., A.R.M. Reddy and B.B.K. Rao, 2013. Defect prediction in software entities classified in terms of level dependencies. Int. J. Sci. Res. Comput. Sci. Eng., 1: 20-25.
    Direct Link  |  
  24. Gurumurthy, S., V.S. Mahit and R. Ghosh, 2013. Analysis and simulation of brain signal data by EEG signal processing technique using MATLAB. Int. J. Eng. Technol., 5: 2771-2776.
    Direct Link  |  
  25. Gurumurthy, S., C. Ammu and B. Sreedevi, 2013. Age estimation and gender classification based on face detection and feature extraction. Int. J. Manage. Inform. Technol., 4: 134-140.
  26. Gurumurthy, S. and Valarmozhi, 2013. System design for baseline wander removal of ECG signals with emprical mode decomposition using MATLAB. Int. J. Soft Comput. Eng., 3: 85-92.
  27. Rao, B.N.K. and A.R.M. Reddy, 2012. Features of adaptive test suites. Int. J. Adv. Sci. Technol., 47: 33-42.
    Direct Link  |  
  28. Gurumurthy, S., M.A. Valarmozhi and M.M. Priya, 2012. Design and implementation of bit plane complexity segmentation using steganography in internet. Int. J. of Comput. Electron. Electr. Eng., 2: 21-25.
  29. Gurumurthy, S., A. Valarmozhi and M. Priya, 2012. Design and implementation of an intelligent network monitoring and management tool in internet and intranet. Int. J. Electron. Electr. Eng., 5: 83-89.
  30. Gurumurthy, S. and B.K. Tripathy, 2012. Design and implementation of face recognition system in MATLAB using the features of lips. Int. J. Intell. Syst. Applic., 4: 30-36.
    Direct Link  |  
  31. Gurumurthy, S., B.K. Tripathy and M. Priya, 2011. Study of image recognition using cellular associated artificial neural networks. Lecture Notes Eng. Comput. Sci., 2188: 514-518.
  32. Gurumurthy, S. and B.K. Tripathy, 2011. An optimal compressive approach for the analysis of electroencephalogram using artificial neural network. Int. J. Adv. Res. Comput. Sci., 2: 485-487.
  33. Valarmozhi, A., M. Priya and S. Gurumurthy, 2010. Effective cache placement in multi-hop wireless networks. Int. J. Network Commun. Eng., 2: 411-415.
    Direct Link  |  
  34. Gurumurthy, S., 2009. Neural network based recognition of human brain signals for finding brain diseases using intelligent system. J. Eng. Manage. Sci., 1: 83-87.