Dr. Rajvardhan Jigyasu
Indian Institute of Technology Delhi, Guru Gobind Singh Indraprastha University, Netaji Subhas University of Technology
0000-0002-4451-5044
About
I am a dedicated academic and researcher specializing in Artificial Intelligence, Machine Learning, and the condition monitoring of electrical machines. I hold a Ph.D. in Electrical and Electronics Engineering from the National Institute of Technology (NIT), Delhi, where my research focused on applying machine learning for multiple fault detection and diagnosis in induction motors. My academic foundation is further strengthened by a Master’s in Electrical Engineering (Instrumentation and Control) from NITTTR Chandigarh and a B.Tech in Electrical and Electronics Engineering from SRMGPC, Lucknow.
My professional journey encompasses roles in academia and research. Currently, I serve as a Guest Faculty at both Guru Gobind Singh Indraprastha University and Netaji Subhas University of Technology, where I teach subjects in CSE,IT and EE Department. Previously, I worked as a Teaching Assistant at NIT Delhi and as an Assistant Professor at Shri Ramswaroop Memorial College of Engineering and Management.
With expertise in MATLAB, LabVIEW, and data acquisition systems, I have applied advanced computational techniques to enhance fault diagnosis processes. My research contributions include over 14 journal publications in high-impact journals and numerous conference presentations. I have also authored book chapters on machine learning applications for predictive maintenance.
As the inventor of an AI-driven emergency response system, a copyright technology utilizing NLP and real-time image processing, I am actively involved in technical committees of international conferences and have delivered expert lectures on machine learning. I am a member of IEEE Young Professionals and IEEE.
I am committed to advancing knowledge in my field through teaching, innovative research, and mentoring the next generation of electrical engineers. My vision is to bridge the gap between academic advancements and industrial applications, particularly in diagnostics and predictive maintenance of critical systems.
Employment
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Indian Institute of Technology Delhi Post Doctoral Research Associate2025 - Present
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Guru Gobind Singh Indraprastha University Guest Faculty2024 - 2025
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Netaji Subhas University of Technology Guest Faculty2024 - 2025
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National Institute of Technology Delhi Teaching Assistant (TA)2019 - 2024
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Shri Ramswaroop Memorial College of Engineering and Management Assistant Professor2018 - 2019
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Dr. M. C. Saxena Group of Colleges Lecturer2015 - 2016
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (28)
- An algorithmic recipe to construct Lyapunov functions for nonlinear sectors with quantization mismatch Save
- Efficient Rolling Bearing Fault Diagnosis with a CNN-SVM System Enabled by Automatic Cut-off Conditions for Small Sample Data Save
- Explainable Quantum-Neuromorphic Intelligence Save
- Data fusion-based multiple fault diagnosis of rotating machines using transfer learning Save
- Development of Bio-Based Polymer Composites for Sustainable Construction Materials Save
- ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications Save
- A Hybrid Feature Selection Based Machine Learning Model for Detection of Motor Faults Save
- Deep optimal feature extraction and selection-based motor fault diagnosis using vibration Save
- Hybrid Multi-model Feature Fusion-Based Vibration Monitoring for Rotating Machine Fault Diagnosis Save
- Machine Learning Based Incipient Fault Diagnosis of Induction Motor Save