School of Engineering
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Kunal Mukherjee
Assistant Professor of Materials Science and Engineering
BioKunal Mukherjee is an assistant professor in Materials Science and Engineering at Stanford. He has been an assistant professor in the Materials department at UC Santa Barbara (2016-2020), held postdoctoral appointments at IBM TJ Watson Research Center (2016) and MIT (2015), and worked as a transceiver engineer at Finisar (2009-2010).
The Mukherjee group specializes in semiconductors that emit and detect light in the infrared. Our research enables better materials for data transmission, sensing, manufacturing, and environmental monitoring. We make high-quality thin films with IV-VI (PbSnSe) and III-V (GaAs-InAs/GaSb) material systems and spend much of our time understanding how imperfections in the crystalline structure such as dislocations and point defects impact their electronic and optical properties. This holds the key to directly integrating these semiconductors with silicon and germanium substrates for new hybrid circuits that combine infrared photonics and conventional electronics. -
Amar Mukunda
Masters Student in Engineering, admitted Winter 2024
BioAmar Mukunda pursued his Master's degree in Energy and Infrastructure Engineering. Amar's overall focus is developing strategies to meet America's 21st century energy and infrastructure needs while alleviating poverty the country's most economically challenged communities. Amar's degree is focused on both the technical engineering aspects of a broad range of zero carbon technologies as well as the finance and legal aspects of building large energy projects.
Amar previously served Assistant Director of Roca, one of Maryland's premier gun violence prevention programs, where he ran the organization's workforce development and and education teams. Through his role at Roca Amar was a Bloomberg fellow at Johns Hopkins University working on understanding gun violence and addiction from a public health perspective. From 2015-2016 Amar was a Fulbright Scholar researching artificial intelligence and machine learning in the field of natural language processing. He graduated from Amherst College Magna Cum Laude in 2015 with majors in Computer Science and Geology.
