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Name : Dr. Shihabudheen K V

Department : Electrical & Electronics Engineering

Designation : Assistant Professor

Dr. Shihabudheen K. V. accured PhD from Department of Electrical Engineering, IIT Roorkee, India during 2014-2018. He received the B.Tech degree in 2010 from the Department of Electrical and Electronics Engineering, Mar|Athanasius College of Engineering, Kothamangaam, Kerala, India. He is received M.Tech (Instrumentation &Control) degree from National Institute of Technology, Calicut, Kerala. His research interests include soft computing, Neuro-fuzzy systems, Power system and intelligent control.


Office Phone:

Mobile: 7895717079


Department of Electrical & Electronics Engineering, TKMCE


  • PhD in Electrical Engineering (Specialization: Machine Learning & System control) from IIT Roorkee during 2014-2018
  • M. Tech in Electrical Engineering (Instrumentation & Control) from NIT Calicut during 2010-2012
  • B. Tech in Electrical & Electronics Engineering from M G university, Kerala during 2006-2010

Professional Experience

  • 3+ year teaching experience.

Research Interest

  • Soft computing
  • System & Control
  • Intelligent Control System
  • Renewable energy harvesting & Control

Ongoing PhDs.

  • (Phd Supervisor-KTU approved)

Consultancy and Sponsored Projects

    Awards and Honours

    • Best paper Award in 42th IEEE National Systems Conference (NSC) held at Agra, New Delhi, 2017.
    • Gold medal Award for top rank holder,Department of Electrical Engineering, National Institute of Technology, Calicut

    Membership in Professional Bodies

    • IEEE

    Duties and Responsibilities

    • TKMCE
    • IQAR department co-ordinator
    • ---------------------------------------
    • MESCE
    • M. Tech thesis co-ordinator
    • M. Tech course co-ordinatoe
    • University lab exam department co-ordinator
    • Industrial Institute Interaction cell co-ordinator
    • AEEE co-ordinator

    Teachng History

    • From 2nd August 2018 - Assistant Professor, Department of Electrical and Electronics Engineering @ TKM College of Engineering, Kollam, Kerala, India
    • From 10th June 2012 to 21st July 2018- Assistant Professor, Department of Electrical and Electronics Engineering @ MES College of Engineering, Kuttipuram, Kerala, India

    Courses and Training Attended

    • Five day workshop on "Deep Learning", NIT Calicut, 2018
    • Workshop on "Design and Installation of Roof top solar power plants" TKMCE, 2018
    • Short term course on “Deep Learning and Applications” IIT Kanpur, 2017
    • GIAN short term course on “Advanced Sliding Mode Control and Estimation for Real Complex Systems of the 21st Century” IIT Roorkee, 2017
    • GIAN short term course on “Robotic Systems Modeling and Control” IIT Roorkee, 2017
    • Seminar on “Plagiarism and impact of Research”, IIT Roorkee, 2017
    • QIP workshop on “Introduction to Tools and Techniques for Big Data Analysis”, IIT Roorkee, 2015
    • Short term course on “ Professional development” UGC Academic Staff college, Calicut University, 2012
    • Faculty orientation programme “Gurukulam”, MES College of Engineering, Kuttipuram, 2013
    • Workshop on “PLC and SCADA” SMEC Authomation, Kochi, 2009

    International Journals:

    • K.V. Shihabudheen and G.N. Pillai, “Regularized extreme learning adaptive neuro-fuzzy algorithm for regression and classification,”Knowledge-Based Systems, vol. 127, pp. 100-113, 2017. (Elsevier, SCI, Impact factor: 4.529)
    • K.V. Shihabudheen and G.N. Pillai, “Recent advances in Neuro-fuzzy system: A survey,”Knowledge-Based Systems, vol-152, pp.136-162 (Elsevier, SCI, Impact factor = 4.529)
    • K.V. Shihabudheen, G.N. Pillai and B. Peethambaran, “Prediction of landslide displacement with controlling factors using extreme learning adaptive neuro-fuzzy inference system (ELANFIS),”Applied Soft Computing, vol. 61, pp. 892-904, 2017. (Elsevier, SCI, Impact factor: 3.541)
    • K.V. Shihabudheen, M. Mahesh and G.N. Pillai, “Particle swarm optimization based extreme learning neuro-fuzzy system for regression and classification,”Expert Systems with Applications, vol. 92, pp. 474-484, 2018. (Elsevier, SCI, Impact factor: 3.928)
    • K.V. Shihabudheen, S. K. Raju and G. N. Pillai, “Control for Grid connected DFIG based wind energy system using adaptive neuro-fuzzy technique,”International Transactions on Electrical Energy Systems, e2526 (Wiley, SCI, Impact factor: 1.085)
    • K.V. Shihabudheen and B. Peethambaran, “Landslide displacement prediction technique using improved neuro-fuzzy system,” Arabian Journal of Geosciences, vol.10, pp. 502, 2017. (Springer, SCI, Impact factor: 0.955)
    • K.V. Shihabudheen, S. K. Raju and G. N. Pillai, “Neuro-fuzzy based intelligent control of DFIG wind energy system with distribution networks,”Electric power components and systems(Accepted on 26th May 2018,Taylor & Francis, SCI, Impact factor: 1.22)
    • Peethambaran, B., Anbalagan, R. &Shihabudheen, K.V, “Landslide susceptibility mapping in and around Mussoorie Township using fuzzy set procedure, MamLand and improved fuzzy expert system-A comparative study,”Natural Hazards (2018)., SCI, Impact factor: 1.901)

    International Conference:

    • Gowri Balachandran, Nafeesa.K, Shihabudheen KV, "Fuzzy Controller based Energy Management of Hybrid System " IEEE Sponsored 4TH International Conference for Convergence in Technology (I2CT) 2018, Mangalore ,karnataka,India
    • K. V. Shihabudheen and G. N. Pillai, "Wind and solar irradiance prediction using improved neuro-fuzzy systems," IEEE World Congress on Computational Intelligence, Rio de Janeiro, Brazil, pp. 1-7, 2018
    • G. N. Pillai and K. V. Shihabudheen, “Wind Speed Forecasting Using Empirical Mode Decomposition and Regularized ELANFIS,” IEEE Symposium Series on Computational Intelligence (SSCI), (IEEE SSCI 2017), Hawaii, USA, pp. 1-7, 2017.
    • K. V. Shihabudheen and G. N. Pillai, “Extreme Learning ANFIS Control of a Flexible Link Manipulator,” 14th IEEE India Council International Conference (INDICON), IIT Roorkee, pp. 1-6, 2017.
    • Biju G. M., Shihabudheen K V and G. N. Pillai, “Chaotic Time Series Prediction Using ELANFIS,” 6th International Conference On Computer Applications in Electrical Engineering-Recent Advances (CERA), IIT Roorkee , pp. 473-478, 2017
    • Shihabudheen KV, Nimmi George, Chinmaya K A, Jose Thankachan "Stability Control and Trajectory Tracking of Two Wheeled Mobile Manipulator" 12th IEEE India international conference INDICON, Delhi,pp. 1-6, 2015
    • K. V. Shihabudheen and G. N. Pillai, "Internal model control based on extreme learning ANFIS for nonlinear application," IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES),NIT Calicut, 2015, pp. 1-5.
    • K. V. Shihabudheen and G. N. Pillai, "Evolutionary fuzzy extreme learning machine for inverse kinematic modeling of robotic arms," 39th IEEE National Systems Conference (NSC), New Delhi, 2015, pp. 1-6.
    • Shihabudheen KV, Nimmi George, Dileep G "Applying H-infinity for Stability Control in Two Wheeled Mobile Manipulator," IEEE International Conference on Soft Computing Techniques & Implementations, India, pp. 46-51, 2015
    • Shihabudheen KV, Jose Thankachan, Chinmaya K A "SDRE Control of Flexible Beam Manipulator" " IEEE International Conference on Soft Computing Techniques & Implementations, India, pp.148-154, 2015
    • Roshin R, Shihabudheen K V “Mathematical Modeling of Flexible Beam- A Comparative Study” IEEE International Conference of Control Communication and Computing (ICCC), Page(s):325 - 330, Dec. 2013
    • Shihabudheen KV, Jeevamma Jacob “ Composite Control of Flexible Link Flexible Joint Manipulator” IEEE International Conference INDICON, Page(s): 827- 831, 2012