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Department of Electrical Engineering
Abhinoy Kumar Singh
Assistant Professor,
Department of Electrical Engineering
School of Engineering
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Education Details
Ph.D.: Electrical Engineering, Indian Institute of Technology Patna, 2016

B.Tech.: Electrical and Electronics Engineering, Cochin University of Science and Technology (CUSAT), Kerala, 2012.
Research Interests:
Estimation and Filtering, Target Tracking, Stochastic Processes.
Select Publications:
Journal Publications:
  1. Abhinoy Kumar Singh, Paresh Date and Shovan Bhaumik, “A modified Bayesian filter for randomly delayed measurements”, IEEE Transactions on Automatic Control, In Press, DOI: 10.1109/TAC.2016.2531418.

  2. Abhinoy Kumar Singh, Paresh Date and Shovan Bhaumik “A new algorithm for continuous-discrete filtering with randomly delayed measurements”, IET Control Theory & Applications. vol. 10, no. 17, pp. 2298-2305, Nov. 2016.

  3. Rahul Radhakrishnan, Abhinoy Kumar Singh, Shovan Bhaumik and Nutan Kumar Tomar “Multiple Sparse-grid Gauss-Hermite Filtering”, Applied Mathematical Modelling, vol. 40, no. 7-8, pp. 4441-4450, April 2016.

  4. Abhinoy Kumar Singh, Shovan Bhaumik and Paresh Date, “Quadrature filters for one-step randomly delayed measurements”, Applied Mathematical Modelling, vol. 40, no. 19-20, pp. 8296-8308, Oct. 2016.

  5. Abhinoy Kumar Singh and Shovan Bhaumik, “Higher-degree cubature quadrature Kalman filter”, International Journal of Control Automation and Systems, vol. 13, no. 5, pp. 1097-1105, Oct. 2015.
Book Chaptor:
  1. Rahul Radhakrishnan, Abhinoy Kumar Singh, Shovan Bhaumik and Nutan Kumar Tomar “Bearing-only tracking using sparse-grid Gauss-Hermite filter”, Springer, Advances in Intelligent systems and Computing, Vol. 343, pp. 349-356, 2015.
National and International Conference Publications:
  1. Abhinoy Kumar Singh and Shovan Bhaumik, “Nonlinear estimation using transformed Gauss-Hermite quadrature points’’, International Conference on Signal Processing, Computing and Control, Solan, India, pp. 1-4, 26-28 Sept., 2013.

  2. Abhinoy Kumar Singh and Shovan Bhaumik, “Quadrature filters for maneuvering target tracking’’, International Conference on Recent Advances and Innovation in Engineering, Jaipur, India, pp. 1-6, 9-11 May, 2014.

  3. Abhinoy Kumar Singh, Rahul Radhakrishnan and Shovan Bhaumik, “Nonlinear estimation with transformed cubature quadrature points’’, International Symposium on Signal Processing and Information Technology, Noida, India, 15-17 Dec., 2014.

  4. Abhinoy Kumar Singh and Shovan Bhaumik, “Tracking of low earth orbit satellite using cubature quadrature Kalman filter’’, International Symposium on Signal Processing and Information Technology, Noida, India, 15-17 Dec., 2014.

  5. Abhinoy Kumar Singh and Shovan Bhaumik, “Cubature Quadrature Kalman Filter for Maneuvering Target Tracking’’, International Conference on Smart Sensors and Application, Kuala Lumpur, Malaysia, 26-28 May, 2015.

  6. Abhinoy Kumar Singh and Shovan Bhaumik, “Improved high-degree cubature Kalman filter’’, Sensor Signal Processing for Defence, Edinburgh, United Kingdom, 9-10 Sep., 2015.

  7. Rahul Radhakrishnan, Abhinoy Kumar Singh, Shovan Bhaumik and Nutan Kumar, “IMM-cubature quadrature Kalman filter for manoeuvring target tracking’’, International Conference on Signal Processing, Informatics, Communication and Energy Systems, Kozhikode, India, pp. 1-5, 19-21 Feb., 2015.

  8. Rahul Radhakrishnan, Abhinoy Kumar Singh, Shovan Bhaumik and Nutan Kumar Tomar, “Quadrature filters for underwater passive bearings-only target tracking’’, Sensor Signal Processing for Defence, Edinburgh, United Kingdom, 9-10 Sep., 2015.

  9. Abhinoy Kumar Singh, Rahul Radhakrishnan, Shovan Bhaumik and Paresh Date, “Computationally efficient sparse-grid Gauss-Hermite filtering", Indian Control Conference, Guwahati, India, Accepted for publication.

  10. Ajay Kumar Yadav, Vikas Kumar Mishra, Abhinoy Kumar Singh and Shovan Bhaumik, “Unscented Kalman filter for arbitrary step randomly delayed measurements ", Indian Control Conference, Guwahati, India, Accepted for publication.

  11. Vikas Kumar Mishra, Abhinoy Kumar Singh, Rahul Radhakrishnan and Shovan Bhaumik, “Bayesian filters for parameter identification of Duffing oscillator", Ready for communication.
National and International Recognition:
  1. Grabbed the recognized Lee Woonchul Fellowship for pursuing post-doctoral research in South Korea (May 2016) and offered a post-doctoral position from Yonsei University (QS Ranking 112), South Korea.

  2. Offered a Research Position from Shanghai Jiao Tong University (QS Ranking 61), China.

  3. Biography selected in ‘Marquis Who’s Who in the world’ in 2016.
Recognized Presentations and Invited Lectures:
  1. Presented “Nonlinear filtering and its application to bearing only tracking problems”, in Naval Science & Technological Laboratory (NSTL), DRDO, Vishakhapattanam, India, 5th April, 2015.

  2. Delivered a lecture on “Improved filtering methods for nonlinear systems with randomly delayed measurements” in National Institute of Technology Patna, India on 18th Jan. 2016.
Session Chair:
  1. Chaired a session (Session 2B: Signal Processing) in “IEEE International Symposium on Signal Processing and Information Technology”.
Reviewer:
  1. IEEE Transactions on Automatic Control
  2. IEEE Signal Processing Letters
  3. International journal of control, Taylor & Francis
  4. Journal of Control Theory and Applications, Springer
  5. American control conference
Country Visited:
  1. Visited Kuala Lumpur, Malaysia for attending “International Conference on Smart Sensors and Application 2015”.
Executive Summary
Soon after completion of his PhD, Dr. Singh joined the Shiv Nadar University. He has a been an active researcher in the domain of estimation and filtering (mainly for nonlinear systems), target tracking etc. His list of publications includes the reputed names like the IEEE Transactions on Automatics Control, the IET Control Theory and Applications, the Applied Mathematical Modelling etc. He is reviewer to many reputed journals and conferences, in the fields of Control and Signal Processing. Looking at the fact that “Research for Human Welfare”, he is committed to implement the estimation and filtering techniques for estimating and predicting several possible diseases in the human body.
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