Dr. Anish Chand Turlapaty

Graduate student Research Award Spring 2010, Mississippi State University Centers and Institutes, Mississippi State University
Graduate Research Assistant of the Year Fall 2010 Geosystems Research Institute, Mississippi State University
Travel grant under the International travel scheme, Summer 2018, Science and Engineering Research Board, Department of Science and Technology, Gov. of India
Travel grant from IEEE to attend IGARSS Summer 2009 University of Cape Town, Cape Town, South Africa.
Assistantship from ASPRS to attend ASPRS 2009. Spring 2009 Baltimore, MD
Silver Medal for Distinction in Mathematics Spring 1999

Feature Analysis for Classification of Physical Actions using surface EMG Data. Turlapaty, A. C. and Gokaraju, B., IEEE Sensors Journal, 2019.
SVM based Classification Of sEMG Signals using Time Domain Features for the Applications towards Arm Exoskeletons. N. Amamcherla, A. Turlapaty and B. Gokaraju ACM Advances in Robotics, IITM, Chennai, India, 2019.

A Machine Learning System for Classification of EMG Signals to Assist Exoskeleton Performance. N. Amamcherla, A. Turlapaty and B. Gokaraju IEEE Applied Imagery Pattern Recognition Workshop (AIPR), , Washington, DC, USA, 2018.
"Shape Parameter Estimation for K-Distribution Using Variational Bayesian Approach, 2018 ,, 2018, pp. 243-247. A. C. Turlapaty IEEE Statistical Signal Processing Workshop (SSP), Freiburg, Germany, 2018.

Data fusion of multi-source satellite data sets for cost-effective disaster management studies. B. Gokaraju, R. A. A. Nóbrega, D. A. Doss, A. C. Turlapaty and R. C. Tesiero SoutheastCon Charlotte, NC, 2017
Approximations to detectors for Gaussian targets in compound Gaussian clutter using MIMO radar . Turlapaty, A.C. Twenty-third National Conference on Communications (NCC),,IITM, Chennai, 2017

"Multi-Parameter Estimation in Compound Gaussian Clutter by Variational Bayesian," in . Turlapaty A. and Jin, Y. IEEE Transactions on Signal Processing , vol. 64, no. 18, pp. 4663-4678, Sept.15, 2016
Gabor filter based entropy and energy features for basic scene recognition. A. C. Turlapaty, H. K. Goru and B. Gokaraju, 2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, 2016, pp. 1-4.
"Integration of intrusion detection and web service alarm for home automation system using ‘ARM’ microprocessor," . B. Gokaraju, D. Yessick, J. Steel, D. A. Doss and A. C. Turlapaty, SoutheastCon 2016,, Norfolk, VA, 2016, pp. 1-2

Sequential Bayesian parameter estimation by cognitive radar with multi-antenna arrays,,. Turlapaty, A. C. and Jin, Y. IEEE Transactions on Signal Processing, vol.63, no.4, pp.974-987, Feb.15, 2015
Comprehensive review of evolution of satellite sensor specifications against speedup performance of pattern recognition algorithms in remote sensing. Gokaraju, B., Bhushan, S., Anantharaj, V., Turlapaty, A.C., and Doss, D. A. 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, 2015, pp. 1-8
"Change detection analysis of tornado disaster using conditional copulas and Data Fusion for cost-effective disaster management," . Gokaraju, B., Turlapaty, A. C., Doss, D. A., King, R. L., and Younan, N. H. 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR),, Washington, DC, 2015, pp. 1-8.
"Multi-parameter estimation for cognitive radar in compound Gaussian clutter", , . . Turlapaty, A. C., Jin, Y. International Conference on Acoustics, Speech, and Signal Processing 2015, Brisbane, Australia, 2015.

ACADEMICS