Mandeep Singh

About

Dr. Mandeep Singh is currently Professor and Former Head in the Electrical and Instrumentation Engineering Department, Thapar Institute of Engineering & Technology, Patiala. Dr Singh obtained his Ph.D. in Tele-Cardiology, Master of Engineering in Computer Science and Bachelor of Engineering in Electronics (Instrumentation & Control). Dr Singh is a BEE Certified Energy Auditor and an Empanelled Consultant for PAT Scheme. Dr Singh has more than twenty five years of teaching experience. His current area of research interest includes Biomedical Instrumentation, Energy Conservation, Alternative Medicine and Cognition Engineering. In addition to his regular responsibilities, he has served Thapar Institute of Engineering & Technology as Faculty Advisor (Electrical) for more than eight years. Dr Singh has successfully handled two research projects with DIPAS-DRDO related to fatigue detection and wireless monitoring of ambulatory subjects and is currently leading a three year research project of development of physiological sensors in collaboration with Virginia Tech University (USA).

Employment

• Thapar Institute of Engineering and Technology Professor
  1995 - Present

Education

• Thapar University PhD (Tele-Cardiology)
  ? - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (26)

• Multi-Database EEG Integration for Subject-Independent Emotion Recognition in Brain–Computer Interface Systems
  Mathematics 2026 DOI: 10.3390/math14030474
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• Visualizing Relaxation in Wearables: Multi-Domain Feature Fusion of HRV Using Fuzzy Recurrence Plots
  Sensors 2025 DOI: 10.3390/s25134210
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• Design and Validation of Low-Cost, Portable Impedance Analyzer System for Biopotential Electrode Evaluation and Skin/Electrode Impedance Measurement
  Sensors 2025 DOI: 10.3390/s25123688
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• Rapid Fabrication Technique for Dry Electrocardiography Electrodes Using Carbon Nanotube/Polydimethylsiloxane Composite
  Journal of Electronic Materials 2024 DOI: 10.1007/s11664-024-10919-y
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• Exploring different computational methods for the High-Frequency band of HRV to capture information related to RSA
  Biomedical Signal Processing and Control 2023 DOI: 10.1016/j.bspc.2023.104802
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• A Multimodal Feature Fusion Framework for Sleep-Deprived Fatigue Detection to Prevent Accidents
  Sensors 2023 DOI: 10.3390/s23084129
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• TRANSITION OF EMOTIONS FROM THE NEGATIVELY EXCITED STATE TO POSITIVE UNEXCITED STATE: AN ERP PERSPECTIVE
  Metrology and Measurement Systems 2022 DOI: 10.24425/mms.2022.140030
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• Emotion recognition: An evaluation of ERP features acquired from frontal EEG electrodes
  Applied Sciences (Switzerland) 2021 DOI: 10.3390/app11094131
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• 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 2020 DOI: 10.1177/0142331220904889
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• Automated classification of non-motor mental task in electroencephalogram based brain-computer interface using multivariate autoregressive model in the intrinsic mode function domain
  Biomedical Signal Processing and Control 2018 DOI: 10.1016/j.bspc.2018.02.016
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