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Title: V Ramgopal Rao: Innovator in Explosive Detection and Photo-Detection Technologies
Introduction
V Ramgopal Rao is a prominent inventor based in Mumbai, India. He has made significant contributions to the fields of explosive detection and photo-detection technologies. With a total of 2 patents, his work showcases innovative approaches to critical safety and detection systems.
Latest Patents
One of his latest patents is a "System and method of detecting explosive compounds based on rapid deflagration and differential micro-calorimetry." This explosive detection system is designed to identify explosive traces in a sample through a sophisticated detection unit and processing unit. The detection unit includes multiple heaters and resistance temperature detectors (RTDs) that measure changes in resistance due to heating, ultimately converting these measurements into a digital signal for processing.
Another notable patent is the "Micro electro mechanical system (MEMS) based wide-band polymer photo-detector." This polymer-based photo-detector is capable of responding to ultraviolet, visible, near, and mid-infrared radiation. It utilizes a single layer of polyvinyl alcohol (PVA) as the photoactive layer, enhancing its photoresponsivity by modifying its nano-morphology. The design minimizes localized heating effects, thereby increasing the detector's overall responsivity.
Career Highlights
V Ramgopal Rao has worked at the Indian Institute of Technology Bombay, where he has contributed to various research initiatives. His expertise in developing advanced detection systems has positioned him as a key figure in his field.
Collaborations
Throughout his career, he has collaborated with notable individuals such as Nitin S Kale and Nehul Gullaiya. These collaborations have further enriched his research and development efforts.
Conclusion
V Ramgopal Rao's innovative patents and contributions to detection technologies highlight his role as a leading inventor in his field. His work continues to impact safety and detection systems significantly.