Specialization

Bio Medical Instrumentation

Email

misingh@thapar.edu

Moon Inder Singhis currently Associate Professor in the Electrical and Instrumentation Engineering Department, Thapar Institute of Engineering & Technology, Patiala. Moon Inder obtained his M.Tech. in 2004. He has completed his Ph.D in 2018. He has about 12 years of teaching. His current area of research interest includes Embedded Systems, Digital Signal Processing, Digital Electronics, Emotion recognition and cognition enhancement.

• Broad Research Area:Biomedical Signal Processing
• Phone/Mobile Number:9855051314
• Email ID:misingh@thapar.edu

Education

Academic Experience

Service Activities (within and outside the institution)

• Hostel Warden (Hostel A) TIET, Patiala from 2016-2019
• Training and Placement officer at BBSBEC, Fatehgarh Sahib for 2005-2006

List of Publications:

• J. Panchal, M. I. Singh, K. S. Sandha, and M. Singh, “Multi-database EEG integration for subject-independent emotion recognition in brain–computer interface systems,” Mathematics, vol. 14, no. 3, p. 474, 2026.
• J. Panchal, M. I. Singh, M. Singh, and K. S. Sandha, “Design and validation of low-cost, portable impedance analyzer system for biopotential electrode evaluation and skin/electrode impedance measurement,” Sensors, vol. 25, no. 12, p. 3688, 2025.
• J. Panchal, K. S. Sandha, M. I. Singh, and M. Singh, “Rapid fabrication technique for dry electrocardiography electrodes using carbon nanotube/polydimethylsiloxane composite,” Journal of Electronic Materials, pp. 1–13, 2024.
• M. I. Singh, “Impact of project-based learning and think-pair-share interventions on UG students of engineering,” European Chemical Bulletin, vol. 12, no. 4, 2023.
• Singh and M. Singh, “Transition of emotions from the negatively excited state to positive unexcited state: An ERP perspective,” Metrology and Measurement Systems, pp. 405–423, 2022.
• M. I. Singh and M. Singh, “Emotion recognition: An evaluation of ERP features acquired from frontal EEG electrodes,” Applied Sciences, vol. 11, no. 9, p. 4131, 2021.
• M. I. Singh and M. Singh, “Development of emotion classifier based on absolute and differential attributes of averaged signals of visually stimulated event-related potentials,” Transactions of the Institute of Measurement and Control, vol. 42, no. 11, pp. 2057–2067, 2020.
• M. I. Singh and M. Singh, “Development of low-cost event marker for EEG-based emotion recognition,” Transactions of the Institute of Measurement and Control, 2015, doi: 10.1177/0142331215620698.
• M. I. Singh and M. Singh, “Development of a real-time emotion classifier based on evoked EEG,” Bio-cybernetics and Biomedical Engineering, vol. 37, no. 3, pp. 498–509, 2017.