Dr. S. Tamil Selvi



Dr. S. Tamil Selvi
Designation: Associate Professor
Experience: 16 Years
Area of Interest: Application of evolutionary algorithms to power system engineering problems
Contact Address:Room no:EE23 / EEE block / Extension: 518
Email:tamilselvis@ssn.edu.in \ tamilselvi.manjuraj@gmail.com

Dr. S.Tamil Selvi is with the Department of Electrical and Electronics Engineering, SSN College of Engineering, TamilNadu, India, serving as an Associate Professor since 2016. She received the B.E. Degree with First Class in Electrical and Electronics Engineering, and the M.E. degree with Distinction in Power System Engineering from Madurai Kamaraj University, Madurai, India, in 1999 and 2002, respectively. She has successfully completed her Ph.D (Full Time) in distribution transformer design using evolutionary algorithms under Anna University in 2015. She has a GATE score of 85.53 Percentile. She has over 16 years of work experience including 10 years of teaching experience, 2 years of industry experience and 4 years of full time research experience. She has worked in various places including Sri Venkateswara College of Engineering, K.L.N College of Engineering, St. Joseph’s College of Engineering, Tagore Engineering College, Adhiparasakthi Engineering College and OnSpec Legend Information Systems.

She has published her research works in 12 Science Citation Indexed list of international Journals, and 3 international conferences. She has published two books and three chapters. She has also published her software code for NSGA-II, a multi objective evolutionary algorithm in ‘MATLAB Central’ to serve the research community. Her field of interest is evolutionary algorithms applications to power system operation, transformer design, and optimization problems.

List of International Research Publications:


  1. Tamil Selvi, S.Baskar, T.Sivakumar, L.Anandapadmanaban , “Evolutionary algorithm-based design optimization for right choice of transformer conductor material and stepped core”, “Electrical Engineering, Springer”, Vol. 101, Issue 1, pp 259–277, April 2019. https://doi.org/10.1007/s00202-019-00771-3, Online ISSN 1432-0487. Impact Factor: 1.269
    Listed in SCI Web of Science (Thomson Reuters), Scopus Indexed.
  1. Tamilselvi S, Karuppiah  N and Rajagopal Reddy B, “Capacity Fade Modeling of Li-Ion Battery using Evolutionary Algorithm”,E3S Web of Conferences, EDP Sciences Publisher,  Article No: 01026 , 87, PP: 1-8, February 2019. This paper was Presented  in “International Conference on Sustainable Energy and Future Electric Transportation (SeFet 2019)”, during  14th -16th Feb 2019 in Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad.
    Indexed in Scopus, CPCI (Web of Science).
  1. Tamilselvi S, Karuppiah  N, S. Muthubalaji, “Design of an efficient Battery Model using Evolutionary Algorithms”, Periodicals of Engineering and Natural Sciences, Vol.6, No.2, December 2018, pp. 265~282, DOI: 10.21533/pen.v6i2.269.   ISSN: 2303-4521
    Indexed in Scopus.
  1. Tamilselvi1, S.Baskar, L.Anandapadmanaban, V.Karthikeyan, S.Rajasekar, “Multi Objective Evolutionary Algorithm for Designing Energy Efficient Distribution Transformers” is accepted for publication in ‘Elsevier, Swarm and Evolutionary Computation’, Vol.42, pp: 109 -124, Jan 2018. Available in the
    link: https://doi.org/10.1016/j.swevo.2018.01.007
    ISSN: 2210-6502,  Impact Factor: 3.893.Listed in SCI Web of Science (Thomson Reuters), SCI Expanded, Scopus Indexed, Annexure –I
  1. Shanmugapriyan, N.Karupiah, S. Tamilselvi, “Optimum placement of multi type DG units for loss reduction in a radial distribution system considering the distributed generation, ‘Bulletin of the Polish Academy of Sciences: Technical Sciences’, Vol. 66, No. 3, pp: 345 – 354, 2018. DOI: 10.24425/123441, ISSN 2300-1917, Impact factor: 1.156,
    SCI Web of Science (Thomson Reuters), Scopus Indexed,
    Annexure –I, Serial No: 1740 (As on 2017 Dec updated list)
  1. Karthikeyan, S. Rajasekar, B. Chitti Babu, Praveen Yadav, P.Karuppanan, Haider A. F. Almurib, S.Tamilselvi, ‘HCC based interleaved boost converter with optimal switching frequency control of wind energy conversion system for DC micro grid application’, IET, The Journal of Engineering, Issue. 8, pp. 495–505, 2017. DOI:  10.1049/joe.2017.0241, Online ISSN2051-3305. 
    (JOE content is discoverable in Web of Science). Science Citation Index Expanded , Emerging Sources Citation Index (ESCI) – (Row No. in List attached -1475), Annexure –I, Serial No: 10560 (As on 2017 Dec updated list)
  1. Prabakaran S., Tamilselvi S., Ajay-D-Vimal Raj P., Sudhakaran M., Rajasekar S. (2018), ‘Solution for Multi-area Unit Commitment Problem Using PSO-Based Modified Firefly Algorithm’. In: Konkani A., Bera R., Paul S. (eds), Advances in Systems, Control and Automation, Lecture Notes in Electrical Engineering (LNEE), Vol- 442. pp 625-636, Publisher: Springer, Chapter First Online: 12 December 2017
    Presented in International conference  on  ‘Emerging trends and advances in electrical engineering and renewable energy (ETAEERE-2016)’, during 17th – 18th Dec 2016 at Sikkim Manipal Institute of Technology (SMIT), Majhitar, Sikkim, India.

            Scopus Indexed, https://doi.org/10.1007/978-981-10-4762-6_60
            Print ISBN 978-981-10-4761-9 ;  Online ISBN : 978-981-10-4762-6

  1. Tamilselvi, S.Baskar, L.Anandapadmanaban, K.Mohaideen Abdul Kadhar, P.R. Varshini, “Chaos-Assisted Multi Objective Evolutionary Algorithm to the Design of Transformer”, Soft Computing, Springer, Vol-21, Issue:19, pp:5675-5692, April 2016. ISSN:1432-7643, Impact factor: 2.472.  Available online: https://doi.org/10.1007/s00500-016-2145-7
    SCI Web of Science (Thomson Reuters), Scopus Indexed,
    Annexure –I, Serial No: 10208 (As on 2017 Dec updated list) 
  1. Tamilselvi, S. Baskar, “Modified parameter optimization of distribution transformer design using covariance matrix adaptation evolution strategy”, International Journal of Electrical Power and Energy Systems (ELSEVIER), volume 61, pp: 208 – 218, March 2014.
    ISSN: 0142-0615; SNIP: 2.694; Impact factor: 3.432.
    SCI Web of Science (Thomson Reuters), Scopus Indexed,
    Annexure: 1, Serial No: 3797 (Version: 2013-1.1)
  1. Tamilselvi, S. Baskar, “Covariance matrix adaptation evolutionary strategy for the solution of transformer design optimization problem”, Springer International Publishing Switzerland 2013, Part I, Lecture Notes in Computer Science, (LNCS) 8297, pp. 47–58, 2013.
    ISSN: 0302-9743, SNIP: 0.02.
    Annexure -2, Serial No: 14410 (Version: 2013.2.1)
  1. Baskar, P.Subbaraj, S.Tamilselvi, M.V.C.Rao “Genetic algorithm solution to generator maintenance scheduling with modified genetic operators”, – IEE ProceedingsIET Generation, Transmission, Distribution, Vol. 150, No. 1, pp. 56-60, January 2003.
    ISSN: 1751-8687; Impact factor: 2.213.
    SCI Web of Science (Thomson Reuters), Scopus Indexed,
    Annexure –I, Serial No: 4534, (As on 2017 Dec updated list) 
  1. Baskar, P.Subbaraj, S.Tamilselvi, M.V.C.Rao, “Genetic algorithm solution to Optimal Maintenance Scheduling (OMS) of generating units with modified genetic operators”,- Presented in 37th International Universities Power Engineering Conference, UPEC 2002 Proceedings, United Kingdom – Power System Operation and Control, Vol. 2, Session 4c – 7d, Oral Session – 5b, September 9-11, Staffordshire University, 2002. 

List of Chapter Publications:

  1. Prabakaran, S. Tamil Selvi, P. Ajay-D-Vimal Raj, M.Sudhakaran,  S.Rajasekar, “Solution for Multi-Area Unit Commitment Problem using PSO Based Modified Firefly Algorithm”, Avinash Konkani et al: ‘Advances In Systems, Control And Automation’, Vol. 442, pp:625-636, 2017. 
    Print ISBN:978-981-10-4761-9  https://doi.org/10.1007/978-981-10-4762-6_60
  1. Tamil Selvi, S. Baskar, S. Rajasekar published a Book chapter (chap-5) “An Intelligent Approach Based on Metaheuristic for Generator Maintenance Scheduling” in Book titled ‘Classical and Recent Aspects of Power System Optimization’, Pages: 99-136, Academic Press , © 2018 Elsevier Inc, First Edition, June 2018,  ISBN: 9780128124413. https://doi.org/10.1016/B978-0-12-812441-3.00005-7. Available online in the link: https://www.sciencedirect.com/science/article/pii/B9780128124413000057
  1. Tamil Selvi, S. Baskar, S. Rajasekar published a Book chapter (chap-17) “Application of Evolutionary Algorithm for Multiobjective Transformer Design Optimization” in Book titled ‘Classical and Recent Aspects of Power System Optimization’, Pages: 463-504, Academic Press , © 2018 Elsevier Inc, First Edition, June 2018, ISBN: 9780128124413. https://doi.org/10.1016/B978-0-12-812441-3.00017-3,  Available online in the link:

List of Book Publications:

  1. Srinivasan, S.Tamilselvi, “Power System Analysis”, Charulatha Publications, 2004
  2. Srinivasan, S.Tamilselvi, “High Voltage Engineering”, Charulatha Publications, 2004 

Publication in MATLAB CENTRAL: 

A MATLAB code is developed for Non-Dominated Sorting Genetic Algorithm – II which can solve any complex real world multi-objective constrained optimization problem. It is  published on-line at MATLAB CENTRAL to facilitate the researchers, (available in the link given below).

Rating by users (10):  5 out of 5 Stars; 85 weekly downloads on average. 


Invited Speaker in Workshop:

Delivered speech on ‘Transformer design issues and analysis’ from my research work titled, ‘Distribution transformer design optimization using evolutionary algorithms’, to transformer manufacturers and industrial customers, in the workshop “Distribution Transformers performance evaluation through testing and analysis, held at Central Power Research Institute (CPRI), Bangalore on September 5th, 2014. 

List of Research Works under Review:

  1. Sathyanarayanan, Karuppiah, Tamilselvi, “PIC controlled hardware model realization for Mitigating turbine stresses and regulation of frequency in thermal power plants”, submitted to “International Transactions on Electrical Energy Systems”, Wiley, Impact factor:1.619, ISSN:2050-7038.
  2. Varshini P R, Baskar S, Tamilselvi S, “Utopia constraint based Replacement in multi objective evolutionary algorithm applied to centralized FOPID Controller”, submitted to “Expert Systems with Applications”, Elsevier, Impact Factor: 3.768, ISSN: 0957-4174.
  3. Pon Ragothama Priya, S.Baskar, P.R. Varshini, S. Tamil Selvi, “Optimal allocation of Distribution Generation for long term planning by incorporating uncertainties of generators and loads using Evolutionary Multi Objective optimization”, submitted to “Applied Energy”, Elsevier, Impact Factor:7.9, ISSN: 0306-2619 

Scopus Database Link:


Google scholar citation link:


Research Gate citation link:


Workshops Organized:

  1. Organized and coordinated a one day workshop titled “Research Challenges and Innovation on Solar Energy Systems” on 4th August 2017, in the Department of EEE, SSN College of Engineering.
  2. Organized and coordinated a national level workshop titled “ Electromagnetic Design And Analysis Of Electrical Machines” on 3rd August 2018, in the Department of EEE, SSN College of Engineering. 

Teaching Experience:UG/PG Subjects Handled:

  • Analysis of Electrical Machines
  • Design of Electrical Apparatus
  • Power System Analysis
  • Transmission and Distribution
  • Electric Circuit Analysis
  • Control Systems
  • Network Analysis and Synthesis
  • Electrical Engineering
  • Power system Protection and switch gear
  • Electrical Machines I & II
  • Environmental science and engineering
  • Soft Computing Techniques 

Industrial Experience:

  • Work experience on bug fixing embedded projects on various Onspec controllers.
  • Experience in developing firmware patch code in assembly language.
  • Experience in developing Assembly Language Programming for 16 bit RISC Processors.
  • Knowledge in USB, ATA/ATAPI, and SCSI Protocols.
  • Knowledge in Architecture of Secure Digital, Memory Stick, and Compact Flash digital media.
  • Knowledge in Protocols used in Secure Digital, Memory Stick, and Compact Flash digital media.
  • Experience in NAND Flash Memory architecture and programming.
  • Hiring skilled developers and giving depth firmware training to the trainees for pushing them to the floor of product production.
  • Assessing performance of the firmware trainees periodically.
  • Hiring skilled testers and giving them basic hardware testing training.

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