Jamia Millia Islamia (JMI) Professor has been granted patent for material purity device. Prof.Munna Khan from the electrical engineering department. along with his team has been granted the patent for the device they created. The device is method and apparatus for Analytical Characterisation and Identification of Materials. The device efficiently examines the purity of several materials. It has marked a great advancement in the field of healthcare.
The groundbreaking device, can prove to be a game-changer in the healthcare sector. It is designed to efficiently check the purity of materials in solid, fluid, and powder forms.
This patent marks the sixth patent in the field of healthcare for Professor Khan. This device utilizes resonance technology to analyse the material accurately. The procedure incorporates generating forced vibrations into the material using a V-Shaped solid quartz strip with piezoelectric transducers, capturing the resulting acoustic signals and examining theme through a machine learning model.
The device is significant advancement because:
It is simpler and cost-effective
It is much safer alternative to other methods
It has reduced risks to harmful radiations
The officiating Vice Chancellor of JMI, gave best wishes to the professor Khan and his team, including Dr Kashif I K Sherwani, Dr Md Qaiser Reza, Dr Shaila P S M A Sir Deshmukh, and Dr Ashok Kumar Salhan. All are from the electrical engineering department. In addition, Dr Salhan as well. He served as Scientist G at the Defence Institute of Physiology and Sciences (DIPAS)
Jamia Millia Islamia is a central university located in Delhi. The patent marks an important advancement in the field of healthcare and is a benchmark for the university as well.The university hopes to partner up with the industries to commercialise the technology.It aims to ensure the hard work of Prof.Khan , and his inventions reach the wider market and contribute to better healthcare outcomes on a global scale.
Prof. Munna Khan and his team from JMI's electrical engineering department.
Analyzing the purity of materials in solid, fluid, and powder forms.
It uses resonance technology and machine learning to analyze acoustic signals.
Simpler, cost-effective, safer, and reduces harmful radiation risks.
It marks a significant advancement in healthcare technology and could lead to commercialization and improved healthcare outcomes.