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Late Dr. G. Jayachandran Nair (Memorial Page)

Distinguished Professor, Department of Electronics and Communication Engineering, School of Engineering, Amritapuri

Qualification: BSc, MSc, Ph.D
gjnair@am.amrita.edu
Research Interest: Biomedical Engineering, Communication, Digital Signal Processing, Theoretical, Experimental and Computational Seismology, Wireless Sensor Networks (WSN)

Bio

Dr. G. Jayachandran Nair received his Ph. D. in Electronics from Mumbai University.

Dr. G. Jayachandran Nair joined the Department of Atomic Energy, BARC from 12th batch in 1968 and has ever since been involved in research and developement work in the field of theoretical, experimental, computational and strategic seismology. He served as head Seismology Division, BARC, Mumbai. His major contributions are , new autoregressive deconvolution methods, real time rock-burst monitoring system, digitally communicating seismic array, participation in Pokhran I and II explosions, Vsat based national seismic network and real time Seismic Data Centre and microzonation methods. He has used the novel AR deconvolution method for extracting the features of Sino-Soviet explosions which has become his doctoral work dissertation. He was a visiting scientist to Blacknet, AWRE, Aldermaton,UK Atomic Energy for one year. He was also visiting scientist at Seismic Centres at FOA,Sweden , International Seismic Centre, UK and Seismic Centres in China.

He has designed and installed a PDP11/34 based strata stability monitoring system at Champion Reef Gold mines, KGF, Karnataka and latter developed and installed a 386 based underground rock burst monitoring system at Mysore North Fold region Kolar Gold mines at a depth of 3km, in 80s. As a planned activity under the IX plan he developed and installed a wireless digitally communicating array of seismometers with central recording system ,at Gauribidnur Karnataka. Under the X plan, he has installed a nation wide three component wide band network with real time VSAT communication to Seismic Data Centre at Trombay. The system and software for field systems and Data Centre was indigenously developed and tuned for real time streaming data with high reliability. For events in Indian region this systems reports the events much prior to International seismic data centres. The system also gives a first level tsunami potential for oceanic events and near real time sea level measurements from SOI tide gauges.

His interests are in the fields of biomedical signal processing especially EEG signals of epileptic patients, brain controlled computer interface and speech signal processing. He has spent many years in teaching in Training school BARC ,guiding PhD students for IITB, Mumbai and Bangalore University and as a member in academic council of Roorkee University.

He is also a member of the committee for tsunami mitigation and modeling measures required for DAE installations. He is also involved in the development of wireless sensor networks for application in seismology like monitoring slope stability and land slides . He was a member of International union of geodesy and geophysics, Shanti Swaroop Bhatnagar award committee, and the DST committee for earth science in addition to some state and departmental committees. He has published over 60 publications in international and Indian journals.

Publications

Conference Paper

Year : 2017

Classification of EEG based control using ANN and KNN-A comparison

Cite this Research Publication :
Poorna S. S., Baba, P. M. V. D. Sai, G. Ramya, L., Poreddy, P., Aashritha, L. S., G.J. Nair, and Renjith, S., “Classification of EEG based control using ANN and KNN-A comparison”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017

Publisher : 2016 IEEE International Conference on Computational Intelligence and Computing Research,

Year : 2015

Emotion recognition using multi-parameter speech feature classification

Cite this Research Publication : Poorna S. S., Jeevitha, C. Y., Nair, S. J., Santhosh, S., and G.J. Nair, “Emotion recognition using multi-parameter speech feature classification”, in Proceedings - 2015 International Conference on Computers, Communications and Systems, ICCCS 2015, 2015, pp. 217-222

Publisher : Proceedings - 2015 International Conference on Computers, Communications and Systems

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