Teaching Faculties
Dr. Praveen Kumar Shukla
Assistant Professor (Selection Grade) Department of IoT and Intelligent Systems
- praveen.shukla@jaipur.manipal.edu
- 7999517129, 9752179515
- PHD, NIT RAIPUR,2021
- M.TECH., VIT UNIVERSITY, 2015
- B.E., RAJIV GANDHI PROUDYOGIKI VISHWAVIDYALA, BHOPAL,2012
- Brain Computer Interfacing
- Machine Learning
- IOT
- Outstanding thesis & dissertation award by CIEMA
- Achieved Best Paper Award in IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2022 Gwalior).
- Achieved Best Paper Award 3rd international conference on computational intelligence and knowledge economy (ICCIKE-Dubai 2023).
- Co- Coordinator for Time Table
- Member of Budget Team
- Praveen Kumar Shukla, Rahul Kumar Chaurasiya and Shrish Verma, "Performance Improvement of P300-based Home Appliances Control Classification using Convolution Neural Network" published in Biomedical Signal Processing Control (BSPC)-Elsevier, 63, 102220, 2021. (https://doi.org/10.1016/j.bspc.2020.102220)
- Praveen Kumar Shukla, Rahul Kumar Chaurasiya and Shrish Verma, "A P300-based Thresholding-Free Approach for State Detection in Home Environment Applications" Published in IEEE sensor Journal- IEEE, 21(15), 16927-16936. (10.1109/JSEN.2021.3078512).
- Praveen Kumar Shukla, Rahul Kumar Chaurasiya and Shrish Verma, "Brain-computer interface-based single-trial P300 detection for home environment application" published in Institution of Engineering and Technology (IET) Electronics Latter, 56(25), 1392-1395.2020 ( https://doi.org/10.1049/el.2020.2488).
- Praveen Kumar Shukla, Rahul Kumar Chaurasiya and Shrish Verma, "Single-channel Region- based speller for Controlling Home Appliances" published in International Journal of E-Health and Medical Communications (IJEHMC), Volume 11, Issue 4, 2020.(DOI: 10.4018/IJEHMC.2020100105)
- "• Narendra khatri, Guduru Dhanush, Sandeep Kuma, Praveen Kumar Shukla, "A comprehensive review of machine vision systems and artificial intelligence algorithms for the detection and harvesting of agricultural produce" Scientific African, (2023): e01798 (https://doi.org/10.1016/j.sciaf.2023.e01798). "
