Bio-Sketch: 

Prof. (Dr.) M. Gangadharappa did B.Tech in Electronics and Communication from Delhi College of Engineering, University of Delhi. Obtained his M.Tech degree from Indian Institute of Technology (IIT) Kanpur and Ph.D. degree from Delhi Technological University on thesis titled, “Real Time Analysis of Video Behaviour Profiling”. Earlier he worked as Assistant Professor, ECE for a period of 9 years with Indira Gandhi Delhi Technical University for Women (IGDTUW) formerly the constituent college of GGIP University, New Delhi. Having experience of more than 10 years as Engineer in Doordarshan, Prasar Bharti, Broadcasting Corporation of India, Ministry of Information and Broadcasting, New Delhi. He is a member of professional bodies like IEEE, IETE, ISTE. He is having rich administrative experience, worked as Head of Office (HOO) with AIACTR Govt. of NCT of Delhi, Nodal Officer RTI etc.

He is also serving as the Director, AIACTR Incubation and Research Foundation, Geeta Colony, Delhi. Working as President, Institution’s Innovation Council (IIC), an initiative of Ministry of Education, Government of India. He delivered expert lectures in All India Radio/ Doordarshan, AICTE/TEQUIP sponsored FDP programmes, conferences, National Seminars etc.

Areas of Research Interest: Image and Video signal processing, Artificial Intelligence and Machine Learning, Mobile and Wireless Communication.

Selected Publications:

a. M. Gangadharappa, Rajiv Kapoor, Hirdesh Dixit., “An Efficient Hierarchical 16-QAM Dynamic Constellation to Obtain High PSNR Reconstructed Images under Varying Channel Conditions”, IET Communications journal (ISSN: 1751-8628, SCI/SCIE Journal with Impact Factor: 1.664), vol.10, Issue 2, pp.139-147, 2016. https://doi.org/10.1049/iet-com.2015.0693

b. P Kansal, A Kumar, M Gangadharappa, “Optimized Extreme Learning Machine for Intelligent Spectrum Sensing in 5G systems”, Journal of Communications Technology and electronics (ISSN: 1064-2269, SCI/SCIE Journal with Impact Factor: 0.529), vol. 66, No. 3, pp. 322-332, 2021. https://doi.org/10.1134/S1064226921040045

c. Parnika Kansal, M Gangadharappa, A Kumar, “An Efficient Composite Two-Tier Threshold Cooperative Spectrum Sensing Technique for 5G Systems”, Arabian Journal for Science and Engineering (ISSN: 2193-567X, SCIE Journal with Impact Factor 2.334), 2021.  https://doi.orgk/10.1007/s13369-021-05938-4

Publications in International Journal

 

Publications in National Journal

 

Publications in National Conferences

 

Publications in International Conferences

 

Books/Book Chapters

Parnika Kansal, M Gangadharappa, Ashwni Kumar, “Terahertz E-Healthcare System and Intelligent Spectrum Sensing based on Deep Learning”, Accepted for Publication in Springer Book Publication: “Advances in Terahertz Technology and its Applications”. ISBN-13: 9789811657306, Publisher: Springer (Springer Verlag, Singapore), Publication Date: November 2021

P. Kansal, M. Gangadharappa, A Kumar, “A Novel Dual Threshold Weighted Feature Detection for Spectrum Sensing in 5G systems”, Published 29 August 2021, Part of Advances in Intelligent Systems and Computing Book Series, Volume-1394, SPRINGER, Singapore, pp.171-182. https://doi.org/10.1007/978-981-16-3071-2_16 Print ISBN: 978-981-16-3070-5, Online ISBN: 978-981-16-3071-2

Routledge - Taylor & Francis Group, “Artificial Intelligence Approach in Video Summarization” , Edited by Prof. Amita Dev, Prof. Arun Sharma, Prof. S. S. Agrawal, IGDTUW, 2021