Dr. Vijo M Joy

Profile of Dr. Vijo M Joy

• MGU-UGP (Honours)Program 2024 - B.Sc.(Honours)Electronics Syllabus Revision Committee Internal Expert
• Appointed as HOD from 2011 onwards
• Ph.D in Artificial Intelligence with Thesis title as – “Optimized Designs for Adaptive Load Scheduling using Artificial Neural Network in an Isolated Power System”
• 16 publications in International Journals
• Good Experiences in AI based Robotics
• Served as the Resource person in National and International Seminars and AI based Workshops.
• Proficient in Designing, Developing and Implementing circuits and Neural Networks.
• 5+ years of experience as reviewer in international journals and reviewed 15+ papers.
• 50+ Embedded Projects developed/delivered using different advanced processors and controllers.
• 10+ projects completed using Rpi and python.
• Organized 2 National seminar and workshops.
• Excellent interpersonal, problem solving skills with zeal to innovate and have result oriented outcome

International Journal Published

• Vijo M Joy, Sivaraj K S, Tharanath R, and Haripriya M, “Realization of Artificial Neural Network in Simple Mathematical Pendulum Experiment”, Foundry Journal, Vol. 27 Issue 4, pp: 180-196, 2024. DOI:10.29014/FJ-1001-4977.89.1899. (Scopus Active and UGC Care Journal)
• Vijo M Joy, et.al., “Smart Stethoscope for Predictive Health Monitoring”, Gis Science Journal, Vol. 11, Issue 4, pp. 624-630, 2024. DOI: 20.18001.GSJ.2024.V11I4.24.41185373 (Scopus Active and UGC Care Journal)
• Vijo M Joy, et.al., “IoT Based Intelligent Care System”, International Journal of Emerging Technologies and Innovative Research, Vol.11, Issue 4, pp. 578-582, 2024. (UGC Approved).
• Vijo M Joy, et.al, “Ecopurify Oil Management System”, International Research Journal of Modernization in Engineering Technology and Science, Vol. 06, Issue:04, pp. 9393-9395, April-2024.
• Vijo M. Joy, et.al. “Crop-Optimized Greenhouse Control System” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol.13, Issue 4, pp. 774-777, 2024. DOI:10.15662/IJAREEIE.2024.1304044.
• Vijo M Joy, and S. Krishnakumar, “ANN Based Method for Efficient Power Management through Load Scheduling”, International Journal of Innovations in Science Engineering and Technology (IJISET), Vol. 1, No.1, pp. 115-118, 2023.
• Rohith Krishnan R, Vijo M Joy, and S. Krishnakumar, “Companion Modeling Versus Bode Plot Approach for the Design of Analog Circuits Containing Reactive Elements”, International Journal of Innovations in Science Engineering and Technology (IJISET), Vol. 1, No.1, pp. 123-128, 2023.
• Vijo M Joy , et.al.,, " Backpropagation neural network based adaptive load scheduling method in an isolated power system,", Bulletin of Electrical Engineering and Informatics, vol. 12, no. 5, Oct. 2023, pp. 3000-3007. (Scopus Indexed)
• Vijo M Joy , et.al.,, "Optimal Model for Effective Power Scheduling using Levenberg-Marquardt Optimization Algorithm," SSRG International Journal of Electrical and Electronics Engineering, vol. 9, no. 10, pp. 1-6, 2022. (Scopus Indexed)
• Vijo M Joy and S. Krishnakumar, “Modified artificial bee colony optimization algorithm for adaptive power scheduling in an isolated system”, Indonesian Journal of Electrical Engineering and Computer Science, vol. 21, no. 2, pp. 1168-1175, 2021. (Scopus Indexed)
• Vijo M Joy and S. Krishnakumar, “Optimal design of adaptive power scheduling using modified ant colony optimization algorithm”, International Journal of Electrical and Computer Engineering, vol. 10, no.1, pp. 738-745, 2020. (Scopus Indexed)
• Vijo M Joy and S. Krishnakumar, “A Modified Ant Colony Optimization Algorithm for Power Scheduling”, International Journal of Innovative Technology and Exploring Engineering, vol.8, no.11, pp. 1083-1088, 2019. (Scopus Indexed)
• Vijo M Joy and S. Krishnakumar, “Optimal Design of Power Scheduling using Artificial Neural Network in An Isolated Power System”, International Journal of Pure and Applied Mathematics, vol. 118, no. 8, pp. 289-294, 2018. (Scopus Indexed)
• Vijo M Joy and S Krishnakumar “Load Scheduling and Power Management based on ANN”, IEEE Xplore digital library, 978-1-5386-4304-4/18, 2018 IEEE.
• Vijo M Joy and S Krishnakumar, “ANN Based Load Scheduling Method for Power Management Systems”, International Journal of Electronics, Electrical, and Computational System, vol.6, no.10, pp. 310-313, 2017.
• Vijo M Joy and S Krishnakumar, “Efficient Load Scheduling Method For Power Management”, International Journal of Scientific & Technology Research, vol. 5, no.1, pp. 99-101, 2016.

Books/Chapters Published\ Edited

• Vijo M Joy, S. Krishnakumar “Efficient Load Scheduling Algorithm Using Artificial Neural Network in an Isolated Power System,” Inventive Computation Technologies, Smys et al.(Eds.): ICICIT 2019, Lecture Notes in Networks and Systems, vol. 98, pp. 615-621, Springer Nature, Switzerland AG, 2020. ISBN 978-3-030-33845-9
• Vijo M Joy and Joseph John “Leap Motion Sensor and RPi based Smart Writing Technology using Convolutional Neural Network” Recent Developments in Electronics and Communication Engineering, Dr. Jacob Abraham (Editor), Publisher: Innovation Online Trading Academy, Tamilnadu, India, 2022. ISBN 978-93-93622-12-9