Dr. Lokendra Singh

Assistant Professor

Dr. Lokendra Singh holds a Ph.D. in Mechanical Design from the Indian Institute of Technology (IIT) Mandi. During his doctoral research and beyond, he has worked extensively on non-destructive testing (NDT) methods. His research interests span acoustics, vibrations, machine design, and computer vision, with a strong focus on interdisciplinary applications.

He is particularly enthusiastic about experimental analysis in NVH domain using a wide range of sensors and data acquisition systems. Proficient in MATLAB and Python, he actively uses these tools for signal processing, simulation, and data analysis. He has also worked on deep learning-based methods for visual and vibration analysis.

Dr. Singh has expertise in IoT devices and computational technologies, and has published eight research papers (including journals, conferences, and book chapters), with several more under review or in preparation.

He has been involved in collaborative research with the Indian Air Force (Base Repair Depot, BRD-3, Chandigarh) for vibration detection in helicopters. At IIT Delhi, he worked as a Senior Project Scientist on a SIAM-sponsored project related to the Acoustic Vehicle Alerting System (AVAS) for electric two-wheelers. This project involved experimental trials at Automotive research association of India (ARAI, Pune) and international center for automotive testing (ICAT, Manesar).

His hands-on expertise includes working with advanced instruments such as laser vibrometers, sound level meters, a range of accelerometers, microphones, high-speed camera, and various DAQ (Data Acquisition) systems. He is also passionate about developing solutions using low-cost sensors, MEMS devices, and microprocessors.

In addition, he has experience using engineering software like LabVIEW, Simcenter, LISA, and SolidWorks. His current work focuses on mode shape identification and mode participation factor analysis using CV and low-cost sensor-based systems.

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