Dr. Surekha  P

Dr. Surekha P

Associate Professor
Amrita School of Engineering, Bangalore, India


Highest Degree
Ph.D. in Computer Science and Data Processing from Anna University, India

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Area of Interest:

Computer Sciences
100%
Computational Intelligence
62%
Control Systems
90%
Digital Signal Processing
75%
Soft Computing
55%

Selected Publications

  1. Surekha, P., P. Gurudath, R. Prithvi and V.G. Ananth, 2018. Automatic license plate recognition using image processing and neural network. Ictact J. Image Video Processing, 8: 1786-1792.
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  2. Surekha, P., K.N. Namratha and B.M. Vijayalaxmi, 2018. Digital video watermarking using discrete wavelet transform and singular value decomposition technique. Int. J. Eng. Technol., 7: 6488-6493.
  3. Surekha, P. and S. Sumathi, 2015. A novel approach to solve unit commitment and economic load dispatch problem using IDE-OBL. J. Sci. Ind. Res., 74: 395-399.
  4. Surekha, P., N. Archana and S. Sumathi, 2012. An Integrated GA-ABC optimization technique to solve unit commitment and economic dispatch problems. Asian J. Sci. Res., 5: 93-107.
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  5. Surekha, P. and S. Sumathi, 2012. Solving economic load dispatch problems using differential evolution with opposition based learning. WSEAS Trans. Inf. Sci. Appl., 9: 1-13.
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  6. Surekha, P. and S. Sumathi, 2012. Performance comparison of optimization techniques on robust digital-image watermarking, against attacks. Applied Artif. Intell., 26: 615-644.
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  7. Sumathi, S., P. Surekha and S. Sumathi, 2012. An improved differential evolution algorithm for optimal load dispatch in power systems including transmission losses. Istanbul Univ. J. Electr. Electron. Eng., 11: 1379-1390.
  8. Surekha, P., P.R.A. Mohana and S. Sumathi, 2011. Planning, scheduling and optimizing job shop scheduling problem using genetic algorithm. Int. J. Artif. Intell. Syst. Mach. Learn., Vol. 3. No. 1. .
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  9. Surekha, P. and S. Sumathi, 2011. PSO and ACO based approach for solving combinatorial fuzzy job shop scheduling problem. Int. J. Comp. Tech. Appl., 2: 112-120.
  10. Surekha, P. and S. Sumathi, 2011. Optimization of pre-watermarked digital images using genetic algorithm. Int. J. Imaging Rob., 5: 59-79.
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  11. Surekha, P. and S. Sumathi, 2011. Implementation of genetic algorithm for a dwt based image watermarking scheme. ICTACT J. Soft Comput., 2: 244-252.
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  12. Surekha, P. and S. Sumathi, 2011. A self-adaptive fuzzy c-means based radial basis function network to solve economic load dispatch problems. Int. J. Comput. Appl., 25: 50-59.
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  13. Surekha, P. and S. Sumathi, 2011. Solution to the job shop scheduling problem using hybrid genetic swarm optimization based on (λ, 1)-interval fuzzy processing time. Eur. J. Sci. Res., 64: 168-188.
  14. Surekha, P. and S. Sumathi, 2011. Solution to multi-depot vehicle routing problem using genetic algorithms. World Appl. Program., 1: 118-131.
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  15. Surekha, P. and S. Sumathi, 2010. Solving fuzzy based job shop scheduling problems using GA and ACO. J. Emerg. Trends Comput. Inf. Sci., 1: 95-102.
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  16. Surekha, P. and S. Sumathi, 2010. Genetic algorithm and ant colony optimization for optimizing combinatorial fuzzy job shop scheduling problems. Int. J. Artif. Intell. Syst. Mach. Learn., Vol. 2. No. 9. .
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  17. Surekha, P. and S. Sumathi, 2010. Applications of computational intelligence paradigms: A survey. J. Software Project Manage. Qual. Assur. Int. Sci. Press, 1: 85-97.
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  18. Surekha, P. and S. Sumathi, 2010. An optimization approach to digital image watermarking based on GA and PSO. Int. J. Digital Image Process., Vol. 1. No. 2. .
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  19. Surekha, P. and S. Sumathi, 2010. A survey of computational intelligence techniques in industrial applications. Int. J. Adv. Eng. Appl., 1: 91-96.
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  20. Surekha, P. and S. Sumathi, 2010. Application of GA and PSO to the analysis of digital image watermarking process. Int. J. Comput. Sci. Emerging Technol., 1: 350-362.
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