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Dr. Thangavelu S.

Assistant Professor, School of Computing, Coimbatore

Qualification: MCA, Ph.D
s_thangavel@cb.amrita.edu
Research Interest: Database Technologies, Evolutionary Algorithms

Bio

Dr. Thangavelu S. currently serves as Assistant Professor (SG) at School of Computing, Coimbatore Campus. His areas of research include Evolutionary Algorithms and Database Technologies.

Publications

Journal Article

Year : 2020

IoT Based Approach for the Increased and Improved sales for the Brick and Mortar Stores

Cite this Research Publication : R. Giridhararajan, Vasudevan, S. K., and Dr. Thangavelu S., “IoT Based Approach for the Increased and Improved sales for the Brick and Mortar Stores”, International Journal of Advanced Trends in Computer Science and Engineering, vol. 9, pp. 3048-3052, 2020.

Publisher : International Journal of Advanced Trends in Computer Science and Engineering

Year : 2020

AI approach with increased accuracy to extract the tabular content from PDF and Image files

Cite this Research Publication : Dr. Shriram K Vasudevan, M, V. Krishna Ki, Sini Raj P., and Dr. Thangavelu S., “AI approach with increased accuracy to extract the tabular content from PDF and Image files”, International Journal of Advanced Trends in Computer Science and Engineering, vol. 9, pp. 1013-1019, 2020.

Publisher : International Journal of Advanced Trends in Computer Science and Engineering

Year : 2019

Multi-objective evolutionary algorithm based approach for solving rfid reader placement problem using weight-vector approach with opposition-based learning method

Cite this Research Publication : S. S. Shinde, K., D., Dr. Thangavelu S., and Dr. Jeyakumar G., “Multi-objective evolutionary algorithm based approach for solving rfid reader placement problem using weight-vector approach with opposition-based learning method”, International Journal of Recent Technology and Engineering, vol. 7, pp. 177-184, 2019.

Publisher : International Journal of Recent Technology and Engineering

Year : 2019

Scalarizing functions in solving multi-objective problem-an evolutionary approach

Cite this Research Publication : D. Vasumathi and Dr. Thangavelu S., “Scalarizing functions in solving multi-objective problem-an evolutionary approach”, Indonesian Journal of Electrical Engineering and Computer Science, vol. 13, no. 3, pp. 974-981, 2019.

Publisher : Indonesian Journal of Electrical Engineering and Computer Science

Year : 2018

A Comprehensive Study and Analysis of LEACH and HEED Routing Protocols for Wireless Sensor Networks – With Suggestion for Improvements

Cite this Research Publication : A. Gandhi, Kumari, V., and Dr. Thangavelu S., “A Comprehensive Study and Analysis of LEACH and HEED Routing Protocols for Wireless Sensor Networks – With Suggestion for Improvements”, Indonesian Journal of Electrical Engineering and Computer Science, vol. 9, no. 3, pp. 778 - 783, 2018.

Publisher : Indonesian Journal of Electrical Engineering and Computer Science

Year : 2018

Multi focus region-based image fusion using differential evolution algorithm variants

Cite this Research Publication : K. C. Haritha and Dr. Thangavelu S., “Multi focus region-based image fusion using differential evolution algorithm variants”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 579-592, 2018.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Year : 2017

A proposal for mitigating fishermen killing in indian sea borders through technology – maritime boundary identification device

Cite this Research Publication : A. Sn, Dr. Shriram K Vasudevan, Prashant R. Nair, Dr. Thangavelu S., and Rmd, S., “A proposal for mitigating fishermen killing in indian sea borders through technology – maritime boundary identification device”, Indonesian Journal of Electrical Engineering and Computer Science, vol. 6, pp. 704-710, 2017.

Publisher : Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science,

Year : 2015

Performance Analysis of Variants of Differential Evolution on Multi-Objective Optimization Problems

Cite this Research Publication : A. V., Praveen, V., and Dr. Thangavelu S., “Performance Analysis of Variants of Differential Evolution on Multi-Objective Optimization Problems”, Indian Journal of Science and Technology, vol. 8, no. 17, pp. 1-6, 2015.

Publisher : Indian Journal of Science and Technology

Year : 2015

Population variance based empirical analysis of the behavior of differential evolution variants

Cite this Research Publication : Dr. Thangavelu S., Dr. Jeyakumar G., and Dr. Shunmuga Velayutham C., “Population variance based empirical analysis of the behavior of differential evolution variants”, Applied Mathematical Sciences, vol. 9, pp. 3249-3263, 2015.

Publisher : Applied Mathematical Sciences

Year : 2015

An investigation on mixing heterogeneous differential evolution variants in a distributed framework

Cite this Research Publication : Dr. Thangavelu S. and Dr. Shunmuga Velayutham C., “An investigation on mixing heterogeneous differential evolution variants in a distributed framework”, International Journal of Bio-Inspired Computation, vol. 7, pp. 307-320, 2015.

Publisher : International Journal of Bio-Inspired Computation, Inderscience Publishers

Year : 2015

Combining different differential evolution variants in an island based distributed framework–an investigation

Cite this Research Publication : Dr. Thangavelu S. and Dr. Shunmuga Velayutham C., “Combining different differential evolution variants in an island based distributed framework–an investigation”, Advances in Intelligent Systems and Computing, vol. 320, pp. 593-606, 2015.

Publisher : Advances in Intelligent Systems and Computing

Year : 2010

Taguchi method based parametric study of generalized generation gap genetic algorithm model

Cite this Research Publication : Dr. Thangavelu S. and Dr. Shunmuga Velayutham C., “Taguchi method based parametric study of generalized generation gap genetic algorithm model”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6466 LNCS, pp. 344-350, 2010.

Publisher : Lecture Notes in Computer Science

Conference Paper

Year : 2020

Performance Analysis of Differential Evolution Algorithm Variants in Solving Image Segmentation

Cite this Research Publication : V. SandhyaSree and Dr. Thangavelu S., “Performance Analysis of Differential Evolution Algorithm Variants in Solving Image Segmentation”, in Computational Vision and Bio-Inspired Computing, Cham, 2020.

Publisher : Computational Vision and Bio-Inspired Computing, Springer International Publishing

Year : 2019

Feature Selection in Cancer Genetics using Hybrid Soft Computing

Cite this Research Publication : Dr. Thangavelu S., S., A., Naetra, K. C., A.C., K. S., and Lasya, V., “Feature Selection in Cancer Genetics using Hybrid Soft Computing”, in 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2019.

Publisher : 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)

Year : 2019

Evolutionary Computing Approaches for Solving Multi-Objective and Many-Objective Optimization Problems: A Review

Cite this Research Publication : S. S. Shinde, Dr. Thangavelu S., and Dr. Jeyakumar G., “Evolutionary Computing Approaches for Solving Multi-Objective and Many-Objective Optimization Problems: A Review”, in 2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA), 2019.

Publisher : 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA)

Year : 2019

Introductory programming using non-textual modalities – An empirical study on skill assessment using rainfall problem

Cite this Research Publication : Dr. Thangavelu S., Rao, V., Shyamala, C. K., and Velayutham, C. S., “Introductory Programming Using Non-Textual Modalities - An Empirical Study on Skill Assessment Using Rainfall Problem”, in 2019 IEEE Global Engineering Education Conference (EDUCON), 2019, vol. April-2019, pp. 867-871.

Publisher : IEEE Global Engineering Education Conference, EDUCON

Year : 2017

Influence of R&D and IPR regulations on the performance of IT firms in India: An empirical analysis using Tobin’s Q approach

Cite this Research Publication : S. Thangavelu and Jyotishi, A., “Influence of R&D and IPR regulations on the performance of IT firms in India: An empirical analysis using Tobin's Q approach”, in SIGMIS-CPR 2017 - Proceedings of the 2017 ACM SIGMIS Conference on Computers and People Research, 2017, pp. 161-168.

Publisher : SIGMIS-CPR 2017 - Proceedings of the 2017 ACM SIGMIS Conference on Computers and People Research, Association for Computing Machinery,

Year : 2017

Image fusion using evolutionary algorithms: A survey

Cite this Research Publication : K. C. Haritha, Dr. Jeyakumar G., and Dr. Thangavelu S., “Image fusion using evolutionary algorithms: A survey”, in 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, Sri Eeshwar College of Engineering, 2017.

Publisher : 2017 4th International Conference on Advanced Computing and Communication Systems,

Conference Proceedings

Year : 2015

Theoretical Analysis of Expected Population Variance Evolution for a Differential Evolution Variant

Cite this Research Publication : Dr. Thangavelu S., Dr. Jeyakumar G., Balakrishnan, R. M., and Dr. Shunmuga Velayutham C., “Theoretical Analysis of Expected Population Variance Evolution for a Differential Evolution Variant”, Computational Intelligence in Data Mining (In Smart Innovation, Systems and Technologies), vol. 32. Smart Innovation, Systems and Technologies, Springer, pp. 403–416, 2015.

Publisher : Computational Intelligence in Data Mining (In Smart Innovation, Systems and Technologies)

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