publications

Journal papers

1. S K Pandey, H S Shekhawat, S R M Prasanna, Multi-Cultural Speech Emotion Recognition using Language and Speaker Cues.  Biomedical Signal Processing and Control Journal. 2023

2.  H S. Shekhawat, Correlation and Subtraction, College Mathematics Journal. DOI: 10.1080/07468342.2022.2045151

3.  Deepika Gupta and H S Shekhawat, Artificial Bandwidth Extension Using Deep Neural Network and H∞ sampled-data control theory, Journal of Speech Communication, 2021, https://doi.org/10.1016/j.specom.2021.08.004

4.  Deepika Gupta, H S Shekhawat, R Sinha, A New Framework for Artificial Bandwidth Extension using H∞ Filtering,  Journal of Circuits, Systems, and Signal Processing. https://doi.org/10.1007/s00034-021-01925-0

5.  Sandeep Pandey, HS Shekhawat, SRM Prasanna, Attention Gated Neural Network Architectures for Speech Emotion Recognition,  Biomedical Signal Processing and Control Journal, 2022. https://doi.org/10.1016/j.bspc.2021.103173

6.  S K Pandey, H S Shekhawat, S R M Prasanna, S Bhasin,  R Jasuja, A deep tensor-based approach for automatic depression recognition from speech utterances, Plos one, 2022.

7. H. S. Shekhawat, Frequency Truncated Discrete-Time System Norm, in IEEE Control Systems Letters, vol. 4, no. 3, pp. 590-595, July 2020.

8.  H. S. Shekhawat and G. Meinsma. A sampled-data approach to optimal relaxed causal sampling. Mathematics of control, signals, and systems, vol. 33, pages 669–705 2021  doi.org/10.1007/s00498-021-00297-9 

9.  Deepika Gupta and H S Shekhawat, High-band Feature Extraction for Artificial Bandwidth Extension Using Deep Neural Network and H∞ optimisation. IET Signal Processing Journal, vol 14, no. 10, pp. 783-790, Dec 2020.

10.  H. S. Shekhawat and S. Weiland. A locally convergent Jacobi iteration for tensor decompositions. Multidimensional Systems and Signal Processing, 29(3), 1075-1094, 2018.

11. H. S. Shekhawat and G. Meinsma. A sampled-data approach to optimal non-causal downsampling. Mathematics of control, signals and systems, 27(3):277-315, 2015.

12. G. Meinsma and H. S. Shekhawat. Frequency-truncated system norms. Automatica, 47(8):1842-1845, 2011. doi:10.1016/j.automatica.2011.05.004

 Submitted papers/chapters:

1. B. Tripathi, H.S. Shekhawat, Siep Weiland. Tensor-based empirical interpolation method and its application in model reduction. 

2. D. Gupta and H. S. Shekhawat. Artificial Bandwidth Extension using Frequency Shifting, H ∞ Optimization, and Deep Neural Network. 

3. S. M. Mishra, H. S. Shekhawat, J. Pidanic, G. Trivedi. FPGA Implementation of Energy Efficient and Noise Resilient Adaptive LIF Neuron for SNN.

4. R. Parlikar, K. Bagali, V. S. Sreeraj, H. S. Shekhawat, G. Venkatasubramanian.

Advancing Data Science: A New Ray of Hope to Mental Health Care. 

 Conference papers:

• 1. H S Shekhawat, Shodhan Rao, Nesterov Acceleration of the Jacobi Iteration for Tensor Singular Value Problems. 21st International Conference on Numerical analysis and Applied Mathematics, Greece 2023.

  2. S K Pandey, M Nirgunkar, H S Shekhawat, A Longitudinal Study of the Emotional Content in Indian Political Speeches, IHCI-2022, Tashkent.

  3. D Gupta, H S Shekhawat. Artificial Bandwidth Extension Using H∞ Optimization, Deep Neural Network,and Speech Production Model, SPCOM, 2022, IISC Bangalore, India

  4. SM Mishra, HS Shekhawat, G Trivedi, P Jan, Z Nemec, "Design and Implementation of a Low Power Area Efficient Bfloat16 based CORDIC Processor", RADIOELEKTRONIKA-2022, Slovakia. 

  5. SM Mishra, A Tiwari, HS Shekhawat, P Guha, G Trivedi, P Jan, Z Nemec, "Comparison of Floating-point Representations for the Efficient Implementation of Machine Learning Algorithms", RADIOELEKTRONIKA-2022, Slovakia. 

  6. S K Pandey, H S Shekhawat, S Bhasin, R Jasuja, and S R M Prasanna, Alzheimer’s Dementia Recognition using Multimodal Fusion of Speech and Text Embeddings, IHCI-2021, Kent State University, USA. (Best paper runner up award for the overall conference)

  7. A Kumar, B J Choi, S K Pandey, S Park, S Choi, H S Shekhawat, W De Neve, M Saini, SRM Prasanna, and D Singh, “Exploring Multimodal Features and Fusion for Time-Continuous Prediction of Emotional Valence and Arousal,” Proc. International Conference on Intelligent Human Computer Interaction (IHCI), Kent, Ohio, USA, Dec. 2021. (Best session  paper award)

  8. Sharu Goel, Sandeep K Pandey, H S Shekhawat, Analysis of Emotional Content in Indian Political Speeches, IHCI2020, South Korea.

  9. D. Gupta, H.S. Shekhawat, Artificial Bandwidth Extension Using H∞ Optimization. Proc. Interspeech 2019, 3421-3425.

  10. B Sehgal,  H S Shekhawat, SK Jana. Automatic Radar Target Identification Using Radar Cross Section Fluctuations and Recurrent Neural Networks. Tencon 2019, India.

  11.  S Pandey,  H S Shekhawat, S R M Prasanna. Emotion Recognition from Raw Speech using Wavenet. Tencon 2019,  India

  12. S Pandey,  H S Shekhawat, S R M Prasanna. Deep Learning Techniques for Speech Emotion Recognition : A Review. Radioelektronika. 2019,  Czech Republic.

  13.  D Gupta, H S Shekhawat.  Artificial Bandwidth Extension Using the H ∞ Optimization and Speech Production Model.  Radioelektronika, 2019, Czech Republic.

  14. B Sehgal, H S Shekhawat, S K Jana. Automatic Target Recognition Using Recurrent Neural Networks. International Conference on Range Technology (ICORT),2019, India.

  15.  S Pandey, J Sarfaraz , S R M Prasanna, H S Shekhawat. Speaker Identification Using Tensor Decomposition of Acoustic Models. Tencon, 2018, South Korea. 

  16.  H. S. Shekhawat. Discrete frequency truncated system norm. In MTNS Symposium, July 2016, USA. 

  17.  H. S. Shekhawat and S. Weiland. A novel computational scheme for low rank approximations of tensors. ECC, 2015, Austria. 

  18.  H. S. Shekhawat and S. Weiland. On the problem of low-rank approximation of tensors. In MTNS Symposium, 2014, Netherlands. 

  19.  H. S. Shekhawat and G. Meinsma. L 2 and L∞ optimal downsampling from system theoretic viewpoint. In MTNS Symposium, 2012, Australia.  

  20.  H. S. Shekhawat and G. Meinsma. Optimal relaxed causal sampler using sampled-data system theory. In MTNS Symposium, 2012, Australia. 

  21.  G.Meinsma and H. S. Shekhawat. Truncated norms and limitations on signal reconstruction. In MTNS Symposium, 2010, Hungary.