Machine Intelligence Research Labs (MIR Labs) - Global Network for Innovation and Research Excellence

Dr.Kantipudi MVV Prasad
Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune 412115, India , Hyderabad
Regular Member
Personal Web Site: http://kmpteachingportfolio.weebly.com/
Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1844
Short Biography
A Result-oriented leader and a team player with cross-functional experience of Signal Processing and Machine Learning Research, Training, Corporate Communication and Education Management of more than 09 Years. An effective communicator with exceptional presentation skills & abilities in leading cross-cultural teams handling Corporate Relations and Machine learning Research forums. Conducted Key Training Workshops on • Open Source Tools for education • Signal Processing and Machine Learning focused topics. • Educational Technology, etc. Traits: Self Initiator, Fast learner, High energy, Team Player and a Leader having an Optimistic Attitude!
List of top 5 publications in the last 5 years
Nagababu, G., Puppala, H., Pritam, K., & Prasad, K. M. (2022). Two-stage GIS-MCDM based algorithm to identify plausible regions at micro level to install wind farms: A case study of India. Energy, 123594. https://doi.org/10.1016/j.energy.2022.123594 T, V., Velamuri, S., Kantipudi, M. P., & Viriyasitavat, W. (2022). An intelligent robust cascaded control scheme for renewable energy based microgrid. Expert Systems, e12980. https://doi.org/10.1111/exsy.12980 Kantipudi, M. V. V., Sandeep Kumar, and Ashish Kumar Jha. "Scene Text Recognition Based on Bidirectional LSTM and Deep Neural Network," Computational Intelligence and Neuroscience, vol. 1, no. 1, pp.1-11, 2021, doi: https://doi.org/10.1155/2021/2676780 . S. Shitharth, K. M. Prasad, K. Sangeetha, P. R. Kshirsagar, T. S. Babu and H. H. Alhelou, "An Enriched RPCO-BCNN Mechanisms for Attack Detection and Classification in SCADA Systems," in IEEE Access, vol. 9, pp. 156297-156312, 2021, doi: 10.1109/ACCESS.2021.3129053. H. B, J. Moses C and M. Kantipudi, "VLSI Architectures of Booth Multiplication Algorithms – A Review", International Journal of Computing and Digital Systems, vol. 11, no. 1, pp. 265-275, 2022, doi: https://dx.doi.org/10.12785/ijcds/110122 . M. Kantipudi, S. Vemuri and V. Sanipini, "Deep Learning-based Image Super-resolution Algorithms - A Survey", International Journal of Computing and Digital Systems, vol. 11, no. 1, pp. 413-421, 2022, doi: https://dx.doi.org/10.12785/ijcds/110134 Kantipudi MVV Prasad., Mosesa, C. J., Aluvalu, R., & Gouda, G. T. (2021). Impact of Covid-19 on Indian Higher Education. Library Philosophy and Practice, 1-11. V. U. Maheswari, R. Aluvalu, M. P. Kantipudi, K. K. Chennam, K. Kotecha and J. R. Saini, "Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques," in IEEE Access, vol. 10, pp. 54980-54990, 2022, doi: 10.1109/ACCESS.2022.3176451.
List of top 5 academic activities during the last 5 years
Delivered an expert talk on “Time-series data analysis using machine learning (ML) approach”, 25^th June 2021 at Virtual Summer School on Recent Trends in Computational Intelligence and Internet of Things organized by IEEE CIS Society Gujarat Chapter and Department of Electrical Engineering, School of Technology, Pandit Deendayal Energy University. Delivered an expert talk on “IoT Enabling Technologies”, 05^th June 2021 Organized by Vindhya Institute of Technology and Science (VITS), Satna, M.P. Google Cloud Certified Associate Cloud Engineer, Series ID: 34112, Certification ID: F1AJZw Completed a Architecting with Google Compute Engine Specialization under Google Cloud Trainer Program through Coursera Platform.(Public Profile)