Amit Kukker

Assistant Professor (Contractual)

Specialization

Control Systems

Email

amit.kukker@thapar.edu

Specialization

Control Systems

Email

amit.kukker@thapar.edu

Biography

Mr. Amit Kukker is working with EIED Department, Thapar Institute of Engineering and Technology, Patiala. He has submitted his Ph.D thesis in ADAPTIVE INTELLIGENT CLASSIFICATION AND CONTROL FOR BIO-MEDICAL AND NON-LINEAR CONTROL SYSTEMS from NSIT, University of Delhi in December 2019. His research interests include Biomedical Signal Processing, Non-Linear Control Systems and Optimization Techniques.

Education

  • Ph.D Thesis submitted (NSIT, University of Delhi) in ICE Division
  • M.Tech in ICE Division, SLIET (Longowal); First class (8.96 CGPA)
  • B.Tech in Electrical Engineering, JECRC, RTU; First class (69.71%)

Experience: Total Teaching Experience 3 years 7 months

  • November 2010 – May 2012: Lecturer, EEE Department, SIET, Hanumangarh.
  • July 2014 – August 2016: Assistant Professor, EE Department, JECRC, Jaipur.

Teaching Interests:

  • Electrical Networks
  • Electrical Machines
  • Power Systems
  • Control Systems

Research Interest:

  • Biomedical Signal Processing
  • Non-Linear Control Systems
  • Optimization Techniques

Publications:

Journals

  1. Amit Kukker and Rajneesh Sharma, “Neural reinforcement learning classifier for elbow, finger and hand movements”, Journal of Intelligent & Fuzzy Systems, IOS Press, 2018 (SCI impact factor-1.637)
  2. Amit Kukker and Rajneesh Sharma, “Genetic Algorithm‑Optimized Fuzzy Lyapunov Reinforcement Learning for Nonlinear Systems”, Arabian Journal for Science and Engineering, pp. 1-10, Sept. 2019 (SCI impact factor-1.518)
  3. Amit Kukker, Rajneesh Sharma and Hasmat Malik, “An Intelligent Genetic Fuzzy Classifier for Transformer Faults” (Accepted in IETE Journal of Research)
  4. Amit Kukker and Rajneesh Sharma, “EEG Based Epilepsy Seizure Analysis and Classification Methods: An Overview”, IJCSE, Vol.7, Issue.8, pp.328-346, Aug 2019)
  5. 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, December 2016

International Conferences

  1. Amit Kukker, Devendra Rawat, Suresh Kumar, “Gas insulated substation: Application for substation reliability and efficiency”, International Conference on Advance Trends in Engg. & Technology, Aug. 2015
  2. 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
  3. 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
  4. 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
  5. 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
  6. M. Kumar, Rajneesh Sharma and Amit Kukker, “EEG Signal Based Seizure Classification Using Wavelet Transform”, International Conference on Computing, Power & Communication Technologies (GUCON), 2019
  7. 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

National Conferences

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

Achievement, Awards and Recognitions

  • Best paper award for “Neural Reinforcement Learning Classifier for Elbow, Finger and Hand Movements” in February 2018
  • Certificate of merit for achieving third position in M. Tech (2014)
  • Gate Qualified in year 2012

Message to Students & Community

You are not defined by your failures, you are empowered by them.