Research area: - More than two and half decades of dedicated experience in the realm of applied Research and Development. An experienced professional with expertise in smart material-based actuator development, control systems, signal processing, and AI/ML-based SMA modeling.
- Smart Material-Based Actuator Development for diverse applications including automobile, prosthetics, and precision micro-positioning using AI/ML techniques for enhancing their reliability and functionality.
- Control Systems: Designing and implementing control systems (PC-based and independent embedded controller) to ensure precision and efficient technology for various engineering applications.
- Signal Processing: Expertise in signal processing techniques, contributing to the enhancement of data analysis and system performance.
- AI/ML-Based Modeling: Applied artificial intelligence and machine learning techniques-based model and optimize of smart material actuators for superior performance.
- Development of various Instruments for different areas including medical, safety & security, analytical instrumentation, prosthetic and automobile industries etc.
- Notable accomplishments are securing of eight patents, successful completion of more than thirty R&D projects, noteworthy publications in peer-reviewed research journals and conferences.
- Guidance and Mentorship: Currently guiding four research scholars towards their Ph.D., and two research scholars have been awarded Ph.D. degree to their contributions.
- Successful licensing of two technologies to the industry, facilitating their commercialization and real-world applications.
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Selected Publications: - Bhargaw, Hari N; Botre, B A; Singh,Samarth; Hashmi, SAR; Akabar, SA; Sinha, Poonam, Performance analysis of constant current heated antagonistic Shape Memory Alloy actuator using differential resistance measurement technique, Smart Materials and Structures, IOP Publication, Vol. 30, Issue 12, 2021: 125031, https://doi.org/10.1088/1361-665X/ac32e7
- Hari N. Bhargaw, Samarth Singh, B. A. Botre, and Poonam Sinha. Differential resistance-based self-sensing recurrent neural network model for position estimation and control of antagonistic Shape Memory Alloy Actuator, Engineering Research Express, IOP Publication, vol. 3(4), 2021: 04501 https://doi.org/10.1088/2631-8695/ac310d
- Bhargaw, Hari N.; Singh, Samarth; Botre, Bhausaheb; Akbar, S A; Hashmi, S A R; Sinha, Poonam Deep Neural Network based physics inspired model of self-sensing displacement estimation for antagonistic Shape Memory Alloy actuator, IEEE Sensors Journal, IEEE Xplore Vol. 22 (4), pp. 3254-3262, 15, doi: 10.1109/JSEN.2022.3141190
- H. N. Bhargaw, M Ahmed, P Sinha, Thermo-electric behavior of NiTi shape memory alloy, Transactions of Nonferrous Metals Society of China, 2013 Vol 23, Issue 8, pp 2329-2335
- S.A.R. Hashmi, H. Chandra Prasad, R. Abishera, H. N. Bhargaw, Ajay Naik., Improved recovery stress in multi-walled-carbon-nanotubes reinforced polyurethane, Materials and Design, 2014, Vol. 67 pp. 792-500.
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