DEPARTMENT OF Electronics and Communication

Educational Qualifications:

• B. Tech – (Electronics & Communication) MG University (2006-2010)
• M. Tech –  (Opto Electronics & Communication) CUSAT (2010-2012)
• PhD– Jodhpur National University (2013-2017)

RESEARCH INTEREST:

• Image Processing
• Indoor Navigation
• Robotics

WORK EXPERIENCE:

• Assistant Professor: 3 year 6 months, Sahrdaya, Thrissur – June 2012 to Dec 2015.
• Assistant Professor: 1 year 11 months , ASIAT, Ernakulam – Jan 2016 to Dec 2017.
• Assistant Professor: 7 years, and continuing, MITS, Ernakulam – Jan 2018 to Present

COURSE OFFERED:

Theory

• Optical Communication
• Robotics
• Basic Electronics
• Sustainable Engineering
• Professional Ethics
• Digital Image Processing

Laboratory

• Microcontroller Lab
• Scientific Computing Lab
• Project Phase-I&II

PUBLICATIONS:

• Arunkant A Jose, Rishikesh, P.H., Shaju, S. (2023). Mitigation of RSSI Variations Using Frequency Analysis and Kalman Filtering. In: Kumar, A., Ghinea, G., Merugu, S., Hashimoto, T. (eds) Proceedings of the International Conference on Cognitive and Intelligent Computing. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-19-2358-6_22

• Arunkant A Jose, Rishikesh, P. H., & Shaju, S. (2022). Development of smartphone-based indoor navigation system using BLE nodes for the workforce in Industry 4.0 through a digital map interface. Nucleation and Atmospheric Aerosols. https://doi.org/10.1063/5.0110025

• “Highly parallel implementation of retina image enhancement on GPU to enable faster execution”, ARPN Journal of Engineering and Applied Sciences, VOL. 10, NO. 17  9/1/2015  pp. 7684-7686 ,  ISSN 1819-6608. 

• “Retinal Fundus Image Enhancement using accelerated parallel implementation on GPU” in International Journal of Engineering Research and General Science Volume 3, Issue 3, May-June 2015, ISSN 2091-2730. 

• ”Face Detection And Tracking  At  Different  Angles  In  VideoUsing  Optical Flow”, in ARPN   Journal   of   Engineering and   Applied Sciences Vol. 10, No. 17, September 2015. ISSN 1819-6608.

• “Retinal fundus image enhancement using CUDA enabled GPU NVIDIA GT 720M”, in International Journal For Technological Research In Engineering, (ETEBMS – November 2016), ISSN 2347 – 4718.

List of projects completed indicating briefly title, sponsoring agency, duration and outcome of project.