Amit Singhal



Responsive image
  • Profile
  • QualificationsPh.D., B.Tech + M.Tech (Dual Degree)
  • DesignationAssistant Professor
  • DivisionElectronics and Communications Engineering
  • E-Mailamit@nsut.ac.in

Biosketch

Dr. Amit Singhal completed his dual degree with B.Tech in Electrical Engineering and M.Tech in Information and Communication technology from IIT Delhi in 2009. He completed his Ph.D in Molecular Communication from IIT Delhi in 2016. He has a total teaching experience of more than 11 years. Prior to joining NSUT in June 2021, he has worked with JIIT Noida and Bennett University, Greater Noida. In addition to his degrees in the technical domain, he also holds a minor degree in Business Management, obtained from IIT Delhi in 2009.

Areas of Interest

Image Processing, Molecular Communications, Next generating communication technologies, Image retrieval, Theory and Applications of Fourier methods

Journal Publications (SCI):

1. B. Fatimah, P. Singh, A. Singhal and R. B. Pachori, “Efficient detection of myocardial infarction from single lead ECG signal,” Biomedical Signal Processing and Control, vol. 68, pp. 102678, July 2021.

2. A. Chaoub, M. Giordani, B. Lall, V. Bhatia, A. Kliks, L. Mendes, K. Rabie, H. Saarnisaari, A.

Singhal, N. Zhang and Sudhir Dixit, “6G for Bridging the Digital Divide: Wireless Connectivity

to Remote Areas,” IEEE Wireless Communications Magazine, (in press).

3. B. Fatimah, P. Singh, A. Singhal and R. B. Pachori, “Hand movement recognition from sEMG signals using Fourier decomposition method,” Biocybernetics and Biomedical Engineering, vol. 41, no. 2, pp. 690–703, April 2021.

4. P. Singh, A. Singhal, B. Fatimah, A. Gupta and S. D. Joshi, “AF-MNS: A novel AM-FM based

measure of non-stationarity,” IEEE Communications Letters, vol. 25, no. 3, pp. 990–994, March 2021.

5. V. K. Mehla, A. Singhal, P. Singh and R. B. Pachori, “An efficient method for identification of epileptic seizures from EEG signals using Fourier analysis,” Physical and Engineering Sciences in Medicine, pp. 1–14, March 2021.

6. A. Singhal, M. Agarwal and R. B. Pachori, “Directional local ternary co-occurrence pattern for natural image retrieval,” Multimedia Tools and Applications, pp. 1–20, February 2021.

7. V. K. Mehla, A. Singhal and P. Singh, “A novel approach for automated alcoholism detection using Fourier decomposition method,” Journal of Neuroscience Methods, vol. 346, pp. 108945, December 2020.

8. A. Singhal, P. Singh, B. Lall and S. D. Joshi, “Modeling and prediction of COVID-19 pandemic using Gaussian mixture model,” Chaos Solitons & Fractals, vol. 138, pp. 110023, September 2020.

9. B. Fatimah, P. Singh, A. Singhal and R. B. Pachori, “Detection of apnea events from ECG

segments using Fourier decomposition method,” Biomedical Signal Processing and Control, vol. 61, pp. 102005, March 2020.

10. A. Singhal, P. Singh, B. Fatimah and R. B. Pachori, “An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique,” Biomedical Signal Processing and Control, vol. 57, pp. 101741, March 2020.

11. M. Agarwal, A. Singhal and B. Lall, “Multi-channel local ternary pattern for content-based image retrieval,” Pattern Analysis and Applications, vol. 22, no. 4, pp. 1585–1596, November 2019.

12. M. Agarwal, A. Singhal and B. Lall, “3D local ternary co-occurrence patterns for natural, texture, face and bio medical image retrieval,” Neurocomputing, vol. 313, pp. 333–345, November 2018.

13. A. Singhal, R. K. Mallik, and B. Lall, “Performance analysis of amplitude modulation schemes for diffusion-based molecular communication,” IEEE Transactions on Wireless Communications, vol. 14, no. 10, pp. 5681–5691, October 2015.

14. A. Singhal, R. K. Mallik, and B. Lall, “Effect of molecular noise in diffusion-based molecular communication,” IEEE Wireless Communications Letters, vol. 3, no. 5, pp. 489–492, October 2014.

15. A. Singhal, R. K. Mallik, and B. Lall, “Molecular communication with Brownian motion and a positive drift: performance analysis of amplitude modulation schemes,” IET Communications, vol. 8, no. 14, pp. 2413–2422, September 2014.

 

arXiv preprints:

1. H. Saarnisaari, S. Dixit, M.-S. Alouini, A. Chaoub, M. Giordani et al., “6G White Paper on

Connectivity for Remote Areas,” arXiv:2004.14699, April 2020. [White paper published under 6G Flagship Programme, University of Oulu, Finland]

 

Conference Publications:

1. P. Singh, A. Singhal, B. Fatimah and A. Gupta, “An Improved Data Driven Dynamic SIRD model for Predictive Monitoring of COVID-19,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Canada, June 2021, pp. 1–5.

2. V. K. Mehla, A. Singhal and P. Singh, “EMD-based discrimination of mental arithmetic tasks from EEG signals,” in Proceedings of IEEE India Council International Conference (INDICON), Delhi, India, December 2020, pp. 1–4.

3. A. Singhal and M. Agarwal, “Gaussian local ternary co-occurrence pattern for image retrieval,” in Proceedings of National Systems Conference (NSC) on Innovative and Emerging Trends in Engineering Systems, Roorkee, India, December 2019, pp. 1–6.

4. M. Agarwal and A. Singhal, “DoG based local ternary pattern for image retrieval,” in Proceedings of the International Conference on Signal Processing and Communication (ICSC), Noida, India, March 2019, pp. 242–245.

5. M. Agarwal and A. Singhal, “Haar-like local ternary pattern for image retrieval,” in Proceedings of International Conference on Industrial and Information System, IIT Ropar, India, December 2018, pp. 158–162.

6. P. Singh, A. Singhal and S. D. Joshi, “Time-frequency analysis of gravitational waves,” in Proceedings of International Conference on Signal Processing and Communications (SPCOM 2018), IISc Bangalore, India, July 2018, pp. 197–201.

7. P. Singh, A. Singhal and S. D. Joshi, “An efficient ML frequency estimation of a sinusoid using the secant method,” in Proceedings of IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Bhubaneswar, Odisha, India, December 2017, pp. 1–4.

8. I. Srivastava, P. Singh, A. Singhal and A. Gupta, “Baseline wander and power-line interference removal from ECG signals using Fourier decomposition method,” in Proceedings of International Conference on Machine Intelligence and Signal Processing, Indore, India, December 2017, pp. 1–4.

9. P. Singh and A. Singhal, “Frequency estimation of a sinusoidal signal,” in Proceedings of the International Conference on Signal Processing and Communication (ICSC), Noida, India, December 2016, pp. 320–322.

10. A. Singhal, R. K. Mallik, and B. Lall, “Performance of amplitude modulation schemes for molecular communication over a fluid medium,” in Proceedings of the IEEE International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), Washington DC, USA, September 2014, pp. 785–789.

11. A. Singhal and B. Lall, “Novel signal processing approach for gait based human identification system,” in Proceedings of the International Conference on Signal Processing and Communication (ICSC), Noida, India, December 2013, pp. 197–201.

12. A. Singhal, S. Chaudhury, and S. Dutta Roy, “Shiksha: A novel architecture for Tele-teaching using handwriting as a perceptually significant temporal media,” in Proceedings of the First Indo-Japan Conference on Perception and Machine Intelligence (PerMIn), Kolkata, India, January 2012, LNCS 7143, pp. 137–144.