/dr-amit-kukker
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Department of Electrical and Computer Engineering

Faculty

Amit Kukker
Dr. Amit KukkerAssistant Professor

Department of Electrical and Computer Engineering College of Engineering

Experience 4 Years

mail
  • Teaching : 4 Years
  • Industry : -

Area of Interest

Biomedical Signal Processing, Nonlinear Control Systems, Optimization Techniques, Electrical Engineering Problems

Teaching Interests

Electrical Networks, Electrical Machines, Control Systems

  • Completed ‘Programming with MATLAB’ online course (June 2020)
  • Did one-day online course on ‘Introduction to Microsoft Excel’ (June 2020)
  • Participated in Webinar on ‘Managing Information Systems During and After Pandemic’ (May 2020)
  • Volunteered in Short Term Course on “Advances in Soft Computing Techniques for Solving Engineering Problems” (July 2017)
  • Participated in “Research Methodology and Scientific Writing” workshop (Mar, 2017)
  • Attended course on “Artificial Intelligence in Engineering Applications” (Dec, 2016)
  • Did a Short-Term course on Energy Management & Power Electronics through ICT (Feb, 2016)
  • Participated in “Biomedical Imaging-Techniques, Methodology & Clinical Applications Workshop” (Dec, 2015)
  • Took part in “Biometric and Privacy Protection Workshop” (Dec, 2013)
  • Reviewed a Journal Paper in Cognitive Neurodynamics, Springer (Jan 2021)
  • Received Certificate for Reviewing a Journal Paper in ‘Asian Journal of Advanced Research and Reports’ (May 2020)
  • Reviewed a Journal paper in ‘Scientific Reports’ (Oct., 2020)
  • Best Paper Award for “Neural Reinforcement Learning Classifier for Elbow, Finger and Hand Movements” (Feb2018)
  • Was selected as an Assistant Professor (Contractual) at NIT, Jalandhar (2016)
  • Certificate of Merit for achieving Third position in M. Tech (2014)
  • GATE qualified (2012) with a score of 347
Publications International Journal (s): 06 (SCI) 02 (Non-SCI) National Journals (s) : 0
International Conference (s): 7 National Conference (s): 2

Journals

  • Amit Kukker and Rajneesh Sharma, “A Genetic Algorithm assisted Fuzzy Q-Learning Epileptic Seizure Classifier” Computers and Electrical Engineering, Elsevier, 2021(SCI impact factor-3.818)
  • Amit Kukker and Rajneesh Sharma, “Stochastic Fuzzy Q-Learning for Robotic Manipulators”, Arabian Journal for Science and Engineering, Springer, 2021(SCI impact factor-2.334)
  • Amit Kukker and Rajneesh Sharma, “Modified Fuzzy Q-Learning based Classifier for Pneumonia and Tuberculosis”, Innovation and Research in BioMedical engineering,Elsevier, 2020 (SCI impact factor-1.856)
  • Amit Kukker, Rajneesh Sharma and Hasmat Malik, “An Intelligent Genetic Fuzzy Classifier for Transformer Faults”, IETE Journal of Research, Taylor & Francis, 2020 (SCI impact factor-2.33)
  • Amit Kukker and Rajneesh Sharma, “Genetic Algorithm Optimized Fuzzy Lyapunov Reinforcement Learning for Nonlinear Systems”, Arabian Journal for Science and Engineering, vol. 45, no. 3, pp. 1629-1638, 2020 (SCI impact factor-2.334)
  • Amit Kukker and Rajneesh Sharma, “Neural reinforcement learning classifier for elbow, finger and hand movements”, Journal of Intelligent & Fuzzy Systems, IOS Press, vol. 35, no. 5, pp. 5111-5121, 2018 (SCI impact factor-1.851)
  • Amit Kukker and Rajneesh Sharma, “JAYA- Optimized Fuzzy Reinforcement Learning Classifier for COVID-19 using CT Images ”, (Under Revision, IETE journal of Research, & Francis )
  • Amit Kukker and Rajneesh Sharma, “EEG Based Epilepsy Seizure Analysis and Classification Methods: An Overview”, IJCSE, Vol.7, Issue.8, pp.328-346, 2019
  • Kuljot Singh, Amit Kukker, “Comparative Study of Core Material’s for Solenoid Design With Maxwell Simulator”, ISST Journal of Electrical and Electronics Engineering,Vol.7, No.2, 2016

International Conferences

  • Nitin Singh, Rajneesh Sharma and Amit Kukker, “Wavelet Transform based Pneumonia Classification of Chest X-Ray Images”, International Conference on Computing, Power & Communication Technologies (GUCON), 2019
  • M. Kumar, Rajneesh Sharma and Amit Kukker, “EEG Signal Based Seizure Classification Using Wavelet Transform”, International Conference on Computing, Power & Communication Technologies (GUCON), 2019
  • Rajneesh Sharma and Amit Kukker, “Neural Reinforcement Learning based Identifier for Typing Keys using Forearm EMG Signals”, 9th International Conference on Signal Processing Systems (ICSPS), Nov. 2017
  • Lalit Kumar, Hasmat Malik, Rajneesh Sharma and Amit Kukker, “Wavelet and Hilbert Huang Transform based Transmission Line Fault Classification Model Using K-Nearest Neighbor Algorithm”, 4th International Conference on"Computing for Sustainable Global Development" March, 2017
  • Amit Kukker, Hasmat Malik and Rajneesh Sharma, “Empirical Mode Decomposition and Hilbert Huang Transform Based Decision Tree Approach for Forearm Movement Classification”, 4th International Conference on"Computing For Sustainable Global Development" March, 2017
  • Amit Kukker, Rajneesh Sharma, Hasmat Malik, “Forearm Movements Classification of EMG Signals Using Hilbert Huang Transform and Artificial Neural Networks”, IEEE 7th Power India International Conference (PIICON), 2016
  • Amit Kukker, DevendraRawat, Suresh Kumar, “Gas insulated substation: Application for substation reliability and efficiency”, International Conference on Advance Trends in Engg. & Technology, Aug. 2015

National Conferences

  • Amit Kukker , Shalabh Agarwal, Vikramjit Singh, M. S. Manna, “Fill/Seal Packaging Machine Using Pneumatic Technique”, Punjab Science Congress Conference, Fardikot, Punjab, 2013
  • P. Arya, Amit Kukke rand M. Kaur, “EMG Signal Features and Classification of Forearm Movements”, A Multi-Track National Conference (SLIETCON), 2019