Dr. Saurabh Bhardwaj is an Associate Professor in Electrical and Instrumentation Engineering Department in Thapar Institute of Engineering and Technology. At present he is working as a visiting researcher at The Bradley Department of Electrical and Computer Engineering, Virginia Tech University, USA. Here his research theme is to develop the Neuro-inspired Deep Learning Algorithms and Systems with Their Applications in Biomedical Research.

He has received the Ph.D. degree in Instrumentation and Control Engineering from Netaji Subhas Institute of Technology (NSIT), New Delhi, India in 2013 and the M.E. degree in Instrumentation Engineering from Panjab University, Chandigarh in 2008.

Dr. Bhardwaj has about 19 years of teaching and research experience. The research interests of Dr. Saurabh Bhardwaj (Assoc. Prof., TIET) are focused on development and improvement of statistical and machine learning based solutions for the problems which involves recognition, classification, modelling and information retrieval

[1]    M. Jeevan, S. Bhardwaj, and M. Hanmandlu "An information set-based robust text-independent speaker authentication." Soft Computing 24.7 (2020): 5271-5287.                                                 (Impact Factor: 3.050

[2]    N. Saini, S. Bhardwaj, and R. Agarwal. "Classification of EEG signals using hybrid combination of features for lie detection." Neural Computing and Applications (2019): 1-11.                                           (Impact Factor: 4.680)

[3]    P. Bhola and S. Bhardwaj. "Clustering-based computation of degradation rate for photovoltaic systems." Journal of Renewable and Sustainable Energy 11, no. 1 (2019): 014701.                                            (Impact Factor: 1.575)

[4]    S. Srivastava, G. Chaudhary and S. Bhardwaj "Multi-scenario dataset for speaker recognition." Journal of Intelligent & Fuzzy Systems 34, no. 3 (2018): 1385-1392.                                                     (Impact Factor: 1.637)

 [5]    G. Chaudhary, S. Srivastava, S. Bhardwaj, " Feature Extraction Methods for Speaker Recognition: A Review." International Journal of Pattern Recognition and Artificial Intelligence, (2017).                     (Impact Factor: 1.110)

[6]    G. Chaudhary, S. Srivastava, S. Bhardwaj and S. Bhargava, “Fusion of palm-phalanges print with Palmprint and dorsal hand vein,” Applied Soft Computing, Elsevier, vol. 47, pp. 12-20, 2016.                           (Impact Factor: 5.472) 

[7]    S. Bhardwaj, S. Srivastava, M. Hanmandlu, J.R.P. Gupta, “GFM Based Methods for Text Independent Speaker Identification,” IEEE Transactions on Cybernetics, vol.43, pp. 1047-1058, 2013.             (Impact Factor: 11.079)

[8]    S. Bhardwaj, V. Sharma, S. Srivastava, O.S. Sastri, J.R.P. Gupta, S.S. Chandel, B. Bandyopadhyay, “Estimation of solar radiation using a combination of Hidden Markov Model and Generalized Fuzzy Model,” Solar Energy, Elsevier, vol. 93, pp. 43-54, 2013.             (Impact Factor: 4.674

[9]    S. Bhardwaj, S. Srivastava, J.R.P Gupta, “Pattern Similarity based model for Time Series Prediction,” Computational Intelligence, Wiley, vol. 31, pp. 106-131, 2013.                                               (Impact Factor: 0.704)