Dr. Saif Nalband

Assistant Professor

Specialization

Biomedical Signal Processing, Machine Learning, Blockchain in healthcare

Email

saif.nalband@thapar.edu

Specialization

Biomedical Signal Processing, Machine Learning, Blockchain in healthcare

Email

saif.nalband@thapar.edu

Website:

https://saifnalband.github.io/

Education
•    PhD  from Birla Institute of Technology and Science, Pilani, K.K.Birla Goa Campus, Goa. (2018)
•    M. Tech from Rashtreeya Vidyalaya College of Engineering, Bengaluru. (2011)
•    B. E in Computer Engineering, University of Mumbai, Maharashtra. (2008)

Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar University Patiala, India (October, 2022 - present)
2.    Assistant Professor, Department of Computer Science and Engineering, Indian Institute of Information Technology Pune, India (January 2022- October, 2022)
3.    Assistant Professor, Department of Computer Science and Engineering, DY Patil International University, Akurdi, Pune, India.(July 2020 - December 2021) 
4.    Post Doctoral Researcher, INFANT Research Centre, University College of Cork (UCC), Cork, Ireland. (January 2019 – December 2019)
5.    Assistant Professor, Department of Computer Science and Engineering, Indian Institute of Information Technology Pune, India (July 2018- December, 2018)

Journal publications
1.    Saif Nalband, Aditya Sundar, A Amalin Prince, Anita Agarwal, “Feature selection and classification methodology for the detection of knee-joint disorders”, Computer methods and programs in biomedicine, Vol: 127, Pages: 94-104, 2016
2.    Saif Nalband, RR Sreekrishna, A Amalin Prince, “Analysis of knee joint vibration signals using ensemble empirical mode decomposition”, Procedia Computer Science, Vol:89 Pages:820-827 , 2016.
3.    Saif Nalband, Amalin Prince, Anita Agrawal, “Entropy-based feature extraction and classification of vibroarthographic signal using complete ensemble empirical mode decomposition with adaptive noise”, IET Science, Measurement & Technology, Vol: 12, Pages:350-359, 2017
4.    Saif Nalband, CA Valliappan, A Amalin Prince, Anita Agrawal, “Time- frequency based feature extraction for the analysis of vibroarthographic signals”, Computers & Electrical Engineering, Vol: 69, Pages: 720-731. 2018
5.    Mittal, Rakshit, A. Amalin Prince, Saif Nalband, Femi Robert, and Agastinose Ronickom Jac Fredo. "Low-power hardware accelerator for detrending measured biopotential data." IEEE Transactions on Instrumentation and Measurement Vol: 70 Pages:  1-9 2020
6.    Mittal, Rakshit, A. Amalin Prince, Saif Nalband, Femi Robert, and Agastinose Ronickom Jac Fredo. "Modified-MaMeMi filter bank for efficient extraction of brainwaves from electroencephalograms." Biomedical Signal Processing and Control Vol : 69 Pages : 102927, 2021.

International Conferences:
1.    E. Mascarenhas, S. Nalband, A. R. J. Fredo and A. A. Prince, "Analysis and Classification of Vibroarthrographic Signals using Tuneable ‘Q’ Wavelet Transform," 7th International Conference on Signal Processing and Integrated Networks (SPIN), 2020, pp. 65-70,
2.    S. A. Raurale, S. Nalband, G. B. Boylan, G. Lightbody and J. M. O’Toole, "Suitability of an inter-burst detection method for grading hypoxic-ischemic encephalopathy in newborn EEG," 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, pp. 4125-4128
3.    S. Nalband, C. A. Valliappan, R. G. A. A. Prince and A. Agrawal, "Feature extraction and classification of knee joint disorders using Hilbert Huang transform," 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2017, pp. 266-269
4.    R. R. Sreekrishna, S. Nalband and A. A. Prince, "Real time cascaded moving average filter for detrending of electroencephalogram signals," 2016 International Conference on Communication and Signal Processing (ICCSP), 2016, pp. 0745-0750

Technical Reports
1.    Omkar SN, Mahapatra DR, , Vanjare AM, Kulkarni KP, Nalband Saif . Methodology for Assessing and Quantifying Stability of Humans while Standing and During Gait on Stable and Unstable Platform. Report No: AE/ISTC/SNO/11/227/02 Bangalore: Department of Aerospace Engineering, Indian Institute of Science; 2011. 2011
 


 

 

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