centre for advanced studies in electronics science & technology


Center for Advanced Studies in Electronics Science and Technology (CASEST)

Prof. Samrat L. Sabat



Office Centre for Advanced Studies in Electronics Science and Technology,University of Hyderabad,Hyderabad,Telengana,500046
Personal web page
Qualification Ph.D

Research Areas

  • Digital Signal Processing
  • Cognitive Radio
  • Digital VLSI Design
  • FPGAbased System on Chip Design

Member of Professional Bodies

Assocate Fellow: Telengana Academy of Sciences

Sponsored / Consultancy Projects

  •  Development of effective Wireless Sensor Network system for water quality and quantity monitoring (AquaSense)- 01-01-2014 to 30-06-17, (Co-PI)
  •  Real time validation of denoising algorithm in digital phase estimator card- RCI, DRDO, 28-10-2013 to 27 -04-2015
  • Swarm Intelligence for Optimization – DST- 2008 – July 2012
  •  MESFET Model Parameter Extraction using Particle Swarm Optimization – DRDO- 2008-2011
  •  Noise Modeling of Fiber Optics Gyroscope Signal and implementation of Wavelet based denoising algorithm in FPGA, DRDO- 2008-2011
  •  Prototype development of WSN based Adaptive Water Quality Monitoring System (AQuaMon) , DST- 2008-10, (Co-PI)
  •  Swarm Intelligent based resource allocation and data routing in cognitive radio network , DST- 2008-11, (Co-PI)

Publications and Patents

Total Publications: Journal + Conference proceedings: 90

Selected Journal Publications

  •  Mundla Narasimhappa, Arun D. Mahindrakar , Vitor Campagnolo Guizilini, Marco Henrique Terra, and Samrat L. Sabat, MEMS Based IMU Drift Minimization:  Sage Husa Adaptive Robust Kalman Filtering” IEEE Sensors (Accepted), doi:   10.1109/JSEN.2019.2941273
  •  Siva Rama Krishna, Samrat L. Sabat, and Mamidipudi Ghanashyam Krishna, The design of broad band anti-reflection coatings for solar cell applications, The Europian Journal of Applied Physics, 77(1), 2017, article no-10301. 
  •  Narasimhappa, M., J.Nayak, H.M.Terra, Samrat L. Sabat, ARMA model based adaptive unscented fading Kalman filter for reducing drift of fiber optic gyroscope, Sensors & Actuators: A. Physical , Vol. 251, Nov 2016, pp. 42-51, ISSN- 0924-4247, IF-2.2
  •  Swetha, N., Sastry, P.N., Rao, Y.R., Samrat L Sabat. Fast Sequency-Ordered Complex Hadamard Transform based Parzen Window Entropy detection for Spectrum Sensing in Cognitive Radio Networks, IEEE Communications Letters, 20 (7), art. no. 7450152, pp. 1401-1404, 2016, ISSN-1089-7798, IF-1.29
  •  Narasimhappa, M., Samrat L. Sabat, Nayak, J “Fiber Optic Gyroscope signal de-noising using an adaptive robust Kalman filter, IEEE sensors journal , IEEE Sensors Journal, 16 (10), art. no. 7421970, pp. 3711-3718. 2016 ISSN: 1530-437X, IF1.88
  •  Swetha, N., Sastry, P.N., Rao, Y.R., Samrat L Sabat. Parzen window entropy based spectrum sensing in cognitive radio Computers and Electrical Engineering, Computer and Electrical Engineering,Volume 52, May 2016, Pages 379–389, ISSN: 0045-7906.IF- 1.08
  •  Sunil D.K. Samrat L Sabat, Blind SNR estimation for M-ARY FSK signal using Covariance technique, AEU International Journal of Electronics and Communications, Volume 70, Issue 10, October 2016, Pages 1388–1394, ISSN-1434-8411, IF-0.786
  •  James Eyebe Fouda, Bertrand Bodo, Guy MD Djeufa, Samrat L Sabat, Experimental chaos detection in the Duffing oscillator, Communications in Nonlinear Science and Numerical Simulation, Volume 33, April 2016, Pages 259-269, ISSN: 1007-5704, IF 2.56
  •  S. Srinu, Samrat L Sabat , Optimal Multinode Sensing in a Malicious Cognitive Radio Network, IEEE Systems, 9(3), Pages 855-864,2015, ISSN-1932-8184.,IF1.74
  •  Narasimhappa, M.,Samrat L Sabat, Nayak, J, An adaptive sampling strong tracking Scaled Unscented Kalman filter for denoising the FOG drift signal, . IET Science, Measurement & Technology, Volume 9, Issue 3, 1 May 2015, Pages 241-249, ISSN-1350-2344, IF 0.59
  •  James Eyebe Fouda, Samrat L Sabat A multiplierless hyperchaotic system using coupled Duffing oscillators, Communications in Nonlinear Science and Numerical Simulation, 20(1), 24-31, (2015), ISSN: 1007-5704, IF 2.56 .
  •  Coelho, L.d.S., Klein, C.E., Samrat L Sabat,., Mariani, V.C Optimal chiller loading for energy conservation using a new differential cuckoo search approach,.  Energy Vol. 75 (1) October 2014, Pages 237–243, ISSN: 0360-5442, IF 4.15.
  •  Anumandla, K.K., Peesapati, R., Samrat L Sabat Field programmable gate array implementation of spectrum allocation technique for cognitive radio networks, Computers and Electrical Engineering, Volume 42, February 2015, Pages 178–192, ISSN: 0045-7906, IF 1.008 .
  •  Peesapati, R., Anumandla, K.K., Kudikala, S., Samrat L Sabat, Comparative study of system on chip based solution for floating and fixed point differential evolution algorithm, Swarm and Evolutionary Computation, vol 19, December 2014, Pages 68–81, ISSN: 2210-6502, IF-2.96 .
  •  Rangababu Peesapati, Samrat L Sabat, Karthik K. P. Narasimhappa M., Giribabu N. And J. Nayak, FPGA-based embedded platform for fiber optic gyroscope signal denoising, International Journal of Circuit theory and applications , 42(7), pp.744-757, (2014 ), ISSN (Online)- 1097-007X, IF 1.21.
  •  James Eyebe Fouda, Effa, F. Ali, Samrat L Sabat A modified 0-1 test for chaos detection in oversampled time series observations, International Journal of Bifurcation and Chaos, 24(5), 1450063, (2014), ISSN- 0218-1274 , IF-1.01 .
  •  Srinu, S., Samrat L Sabat, Multinode sensing with forward error correction and differential evolution algorithms for noisy cognitive radio networks Computers and Electrical Engineering, 40(4), pp. 1090-1100, (2014), ISSN-0045-7906, IF 1.08 .
  • Armand Eyebe Fouda, J.S., Yves Effa, J., Samrat L Sabat,, Ali, M. A fast chaotic block cipher for image encryption Communications in Nonlinear Science and Numerical Simulation 19 (3) PP. 578 – 588(2014), ISSN: 1007-5704, IF 2.56
  •  Mini S, Siba K. Udgata, Samrat L Sabat, Sensor Deployment and Scheduling for Target Coverage Problem in Wireless Sensor Networks, IEEE sensors, 14 (3) PP. 636 – 644, 2014, ISSN-1530-437X, IF-1.85.
  •  Narasimhappa, M., Samrat L Sabat,., Peesapati, R., Nayak, J. An innovation based random weighting estimation mechanism for denoising fiber optic gyro drift signal (2014) Optik 125 (3) PP. 1192 – 1198, (2014), ISSN- 0030-4026 , IF-0.76
  •  A.Kiran Kumar , Rangababu Peesapati, Samrat L Sabat, Siba Udgata. Ajith Abraham, ‘FPGA based Differential Evolution Co-processor : A case study of spectrum allocation in cognitive radio network. IET Computer & Digital Techniques, 7 (5) PP. 221 – 234, (2013), ISSN-1751-8601, IF-0.36
  •  Rangababu Peesapati, Samrat L Sabat, A.Kiran Kumar, K.P Karthik, J.Nayak,Design and Implementation of a Realtime Co-Processor for Denoising Fiber Optic Gyroscope signal , Digital Signal Processing, 23 (5) PP. 1813 – 1825, (2013), ISSN-1051-2004, IF-1.49
  •  Srinu, S., Samrat L Sabat. Cooperative wideband sensing based on entropy and cyclic features under noise uncertainty (2013) IET Signal Processing, 7 (8), pp. 655-663., ISSN-1751-9675, IF-0.69
  •  S. Srinu, Samrat L Sabat , Cooperative wideband sensing based on cyclostationary features with multiple malicious user elimination, AEU International Journal of Electronics and Communications, 67 (8) PP. 702 – 707,(2013), ISSN-1434-8411, IF-0.69
  •  Rangababu Peesapati, Samrat L Sabat, K.P Karthik, J.Nayak,N. Giribabu Efficient Hybrid Kalman Filter for denoising Fiber Optic Gyroscope Signal, Optik 124 (20) PP. 4549 – 4556 (2013), ISSN- 0030-4026 , IF-0.76 .
  •  S. Srinu, Samrat L Sabat, “Effective Cooperative Wideband Sensing using Energy detection under Suspicious Cognitive Radio Network” Computers and Electrical Engineering, 39 (4) PP. 1153 – 1163, (2013), ISSN-0045-7906, IF 1.08 .
  •  S. Srinu, Samrat L Sabat, “Cooperative Wideband Spectrum Sensing in Suspicious Cognitive Radio Network” IET Wireless Sensor Systems, 3 (2) PP. 153 – 161,(2013), ISSN-2043-6386. SNIP: 0.990
  •  A.Kiran Kumar , Rangababu Peesapati, Samrat L Sabat, Siba Udgata, SoC based floating point implementation of differential evolution algorithm using FPGA, Design Automation for Embedded Systems, 16(4), PP. 221-240, (2012), ISSN-0929-5585 , IF-0.24 .
  • S. Srinu, Samrat L Sabat, “FPGA Implementation and performance study of Spectrum Sensing based on Entropy Estimation using cyclostationary features for Cognitive Radio Network”, Computers and Electrical Engineering, 38(6), ,PP 1658–1669. (2012), ISSN-0045-7906, IF 1.08 .
  • Samrat L Sabat, Siba K Udgata, Leandro dos s Coehello, A.Abraham. Dispersive harmony search algorithm for MESFET model parameter extraction, International Journal of Innovative Computing, Information and Control, 8(6), pp. 4249-4262, (2012),ISSN-1349-4198, IF 1.6 .
  •  Layak Ali, Samrat L Sabat and Siba K. Udgata, Particle swarm optimization with stochastic ranking for constrained numerical and engineering benchmark problems, International Journal of Bio-Inspired Computation (IJBIC), Inderscience Publishers. 4(3), pp. 155-166 (2012), ISSN-1758-0366, IF-1.68
  •  Mini S, Siba K. Udgata, Samrat L Sabat, A Heuristic for Target Coverage Problem in Wireless Sensor Networks, Adhoc and wireless sensor network. Vol.13, No 3-4, pp.251-269 (2011),ISSN-1551-9899, IF-0.47 . 
  •  Samrat L Sabat, Layak Ali, S.K.Udgata, Integrated Learning Particle swarm optimizer, Applied Soft Computing, 11(1), pp. 574-584. (2011),ISSN-1568-4946, IF 2.67 .
  •  Samrat L Sabat, S.K.Udgata, Ajith Abraham: Artificial bee colony algorithm based small signal parameter extraction of MESFET, Engineering application of Artificial Intelligence , 23(5), PP. 689-694.(2010), ISSN-0952-1976, IF-2.36 .
  •  Samrat L Sabat, Siba.K.Udgata, K.P.N.Murthy, MESFET small signal Model Parameter extraction using Quantum Particle swarm Optimization . Microelectronics reliability , 50(2), pp.199-206.(2010), ISSN-0026-2714, IF-1.21 .
  • Samrat L Sabat, Leandro dos Santos Coelho, Ajith Abraham, MESFET DC Model Parameter extraction using quantum Particle Swarm optimization, Microelectronics reliability-49(6), pp 660-666.(2009), ISSN-0026-2714, IF-1.21 .
  • Samrat L Sabat, Layak Ali, Hyperspherical Accelerated effect Particle swarm optimizer, Applied Softcomputing. 9(13), pp. 906-917.(2009),ISSN-1568-4946, IF 2.67.