Supervision of Masters level (M. Tech) Project

1. Microcontroller based bi-phase modulation of ECG signal: 2006 (published in Proceedings of International Conference MS'07 India)

2.  Implementation of CSTR Batch Process in Yokogawa CS3000 DCS: 2008 (published in Proceedings of NCMTEE 2009 National Seminar)

3. Microcontroller based on-off control of temperature process: 2009

4. A PC-based measurement scheme using microcontroller (8051) as front end: 2009 

5. Time-plane feature extraction of digitized ECG: 2010 (Publihed in Proceedings of 2011 International conference on Emerging Applications of Information Technologies, EAIT)

6. Development of a USB based Data acquisition system: 2010

7. Multi-lead acquisition and analysis of ECG signal: 2011

8. Microcontroller based offline QRS detection technique: 2011

9. Wavelet based denoising and QRS detection of ECG: 2012 (published in Proceedings of UGC sponsored national seminar on "Applied Sciences in Bioinformatics", 2012)

10. ECG feature extraction, compression and classification: 2012 (joint guidance)

11. Real-time QRS detection using standalone embedded system: 2012

12. Implementing PI control of a real process using LABVIEW: 2012 (joint guidance)

13. Application of wireless system for data communication among various working machines and the process control (Level 1 & 2) systems located at stationary control room for coke oven battery of an integrated steel plant: 2013

14. Feature extraction from ECG signal and validation using BIOPAC software: 2013

15. Development of ECG and PPG database using BIOPAC software and analysis of HRV: 2013

16. Development of ECG and PPG database, de-noising and R-peak detection from ECG signal and their validation using BIOPAC software.: 2013 (joint guidance)

17: Developing a portable short range ECG monitoring system using ISM band communication: 2014 (Published in Proceedings of 2014 IEEE Global Humanitarian Technology Conference (GHTC)-South Asia Satellite)

18. Analysis of Photoplethysmogram signal using soft computing techniques: 2015 (Published in Proceedings of IEEE Int Conf on Research in Computational Intelligence and Communication Networks, 2015)

19. Electrocardiogram Compression using Discrete wavelet Transform: 2016 (Published in International Conference on Computational Science and Engineering (ICCSE), 2016). 

20. A Wireless temperature measurement system with GSM based annunciation facility: 2016 (Published in 2017 International Conference on Communication and Signal Processing, ICCSP) 

21. Study of Motion artifact on Finger Photoplethysmogram and signal processing technique for its reduction: 2017 (Published in proceedings of 2017 First International Symposium on Signal and Image Processing) 

22. Electrocardiogram compression technique with optimal reconstruction quality: 2017.

23. Quality Controlled Compression of Multilead Electrocardiogram Using Principal Component Analysis and Machine Learning Approach: 2018 (Published in proceedings of First IEEE Conference on Applied Signal Processing, 2018)

24. Photoplethysmogram signal quality assessment and recovery of missing data using machine learning approach: 2018 (Published in proceedings of 2019 IEEE R10 Symposium, TENSYMP).

25. Intelligent model for link constrained optimal Electrocardiogram compression: 2019 (Published in proceedings of 2020 IEEE R10 Symposium, TENSYMP) .

26. Machine learning based model for Human blood pressure measurement using cardiovascular signals: 2020

27. Modeling of ECG for cardiovascular simulator development: 2020.

28. Physiology based non-invasive mental stress detection using machine learning technique: 2021 (published in Proceedings of International Conference on Technology, Research, and Innovation for BEtterment of Society (TRIBES – 2021) .

29. Mental Stress Detection Using Biomedical Signals and its Hardware Based Validation: 2021 (published in Measurement Science & Technology Journal, IoP Scinece).

29. A machine learning approach for PPG signal quality assessment and its hardware implementation: 2021 (published in Measurement Science & Technology Journal, IoP Scinece).

30. An Intelligent Resource-Optimized Hardware Implementation for Multi-Class Arrhythmia Prediction: (2022) (published in part, IEEE Transactions on Instrumentation and Measurement and IEEE UPCON2022, India) .

31. Multiclass Signal Quality Assessment of Electrocardiogram using Machine Learning Technique: (2022) (published in IEEE Silchar Sub-section conference proceedings, SILCON2022, India IoP Scinece) .