Nature and also to simulate large-scale feedback networks in cells with analog electronic supercomputers. Thus, his work has led to a novel and fundamental analog circuits approach to the fields of synthetic biology and systems biology, both of which are highly important in the future of biotechnology and medicine and . For example, the synthesis of biofuels, chemicals, energy, molecular and cellular sensors, network drug design, treatments for cancer, diabetes, auto-immune, infectious, and neural diseases can all impacted be impacted by his fundamental work on analog synthetic and systems biology. Sarpeshkar's work on glucose powered medical implants has been featured in the Economist, WIRED, and Science News and was highlighted by Scientific American among 2012's top scientific breakthroughs . Professor Sarpeshkar's work on a hybrid analog-digital circuit that mimics feedback networks in the brain has appeared on the cover of the journal Nature and has received wide media attention . His work on an ultra-low-power analog cochlear-implant processor for the deaf has had wide impact and been featured in articles in the New York Times , Technology Review, and IEEE Spectrum, as has his work on ultra-low-power brain-machine interfaces for the blind and paralyzed and for cardiac and non-invasive monitoring. His group holds several first and best world records in the fields of medical devices, medical electronics, ultra low power, analog, and bio-inspired design . He has authored more than 139 technical publications and is an inventor on more than forty two awarded patents. He is the inventor of the RF Cochlea, a rapid radio-frequency spectrum analyzer inspired by the human ear . His book Ultra Low Power Bioelectronics: Fundamentals, Biomedical Applications, and Bio-inspired Systems is published by Cambridge University Press and provides a broad and deep treatment of the fields of analog, ultra low power, biomedical, biological, energy-harvesting and bio-inspired design. It is based on a course that Sarpeshkar has taught at MIT for many years, which emphasizes how the universal language of analog circuits provides a pictorial and intuitive method for analyzing differential equations in physics, chemistry, biology, engineering, and medicine. He has won the Junior Bose award and the Ruth and Joel Spira award for excellence in teaching at MIT. Sarpeshkar has received several awards including the NSF Career Award, the ONR Young Investigator Award, the Packard Fellows Award, and the Indus Technovator Award. He is a Fellow of the IEEE and a Fellow of the National