Rahul Panat is an associate professor in the Department of Mechanical Engineering at Carnegie Mellon University. He received his M.S. in Mechanical Engineering from the University of Massachusetts, Amherst, and his Ph.D. in Theoretical and Applied Mechanics from the University of Illinois at Urbana-Champaign (UIUC). After his Ph.D., Panat worked at Intel Corporation, Chandler, AZ, for a decade in the area of microprocessor manufacturing research and development (2004-2014). His work at Intel included research on next generation high density interconnects, thinning of Si, 3-D packaging, and lead-free and halogen-free ICs. He won several awards for his work at Intel, including an award for developing manufacturing processes for the world's first fully green IC chip in 2007. He moved to academics in 2014 and joined the Washington State University, Pullman, before moving to Carnegie Mellon in 2017.
At Carnegie Mellon, Panat works on micro-scale additive manufacturing and its applications to biomedical devices and energy materials. Specifically, his group works on high performance biosensors, biomonitoring devices, and brain-computer interfaces. The process development side focuses on using fundamentals of mechanics to enable new manufacturing processes that lead to structures with enhanced functionality. The application side focuses on bringing the advances in microfabrication to the field of biomedical engineering in order to create devices that can benefit the public health. He recently developed the fastest known COVID-19 antibody test with high sensitivity due to a unique, 3D printing technology and an electrochemical reaction.
- Russell V Trader Career Development Professorship, CMU, 2021
- Struminger Teaching Fellowship, CMU, 2019
- Divisional recognition award at Intel for tape-out and production of Intel’s first six core Xeon® server microprocessor, 2008
- Technology and Manufacturing Group (TMG) excellence award for innovation in packaging to achieve $2.6 billion in package, assembly and test savings, 2008
- Divisional recognition award at Intel for developing manufacturing process for world’s first fully green (halogen free and lead free) integrated circuit (IC) chip, 2007
- Lean Six Sigma Green Belt Certification at Intel, 2014
- Henry L. Langhaar Graduate Award, University of Illinois at Urbana, 2004
- Stanley J. Weiss Outstanding Dissertation Award, University of Illinois at Urbana 2004
- Dissertation Completion Fellowship 2003-04, University of Illinois at Urbana
- Materials Research Society (MRS) Gold Medal, 2002
- Mavis Memorial Fund Scholarship Award, 2002 and 2003, University of Illinois at Urbana
- Research Fellowship, TAM Department, University of Illinois at Urbana (1999–2000)
Engineering Design I: Methods and Skills
Developing a 10-second COVID-19 antibody test
Advanced Manufacturing Using Nanoscale 3D Printing
Hands-on Product Design: Advanced Mechanical Design course
2004 Ph.D., Theoretical and Applied Mechanics, University of Illinois at Urbana-Champaign
1999 MS, Mechanical Engineering, University of Massachusetts at Amherst
1997 BS, Mechanical Engineering, Pune University
- 3D printing
- additive manufacturing
- advanced manufacturing
- biomedical devices
- biomedical engineering
- brain-computer interfaces
- devices and material manipulation
- digital twins
- materials for energy efficiency
- materials science & engineering
- medical device manufacturing
- medical devices
- micro/nano manufacturing
- microstructural science
- neural probes
- pathogen detection
Nanoprinting electrodes for customized treatments of disease
Researchers pioneer the CMU Array—a customizable, 3D nano-printed, ultra-high-density microelectrode array platform for next-generation brain-computer interfaces to treat neurological disorders.
Drop by drop: MXene in complex 3D device architectures
3D architectures of MXene can increase the energy storage density of lithium-ion batteries and supercapacitors, but there hasn’t been a reliable manufacturing method to build these configurations.
Breaking barriers in medicine
A team of mechanical engineering researchers has used additive manufacturing and nanotechnology to detect increasingly tiny levels of biomarkers.
Testing the durability of new probes
Mihir Lovalekar found a way to combine his interest in neurology with his major in mechanical engineering by getting involved with undergraduate research and the CMU Array.
Engineering faculty awarded professorships
Engineering faculty Peter Adams, Elizabeth Dickey, Carlee Joe-Wong, Pulkit Grover, Alan McGaughey, Rahul Panat, and Douglas Weber were awarded professorship titles in February and March 2021.
Rapid COVID-19 detection with nanoparticle 3D printing
MechE’s Rahul Panat’s biosensing platform for rapid COVID-19 detection was featured in an article in Materials Today.
Panat quoted on rapid COVID test
MechE’s Rahul Panat was quoted in MedicalExpo on a rapid COVID test that he and his team developed.
Imagine a 10-second COVID-19 antibody test—we’re on our way
Carnegie Mellon University researchers reveal fastest known COVID-19 antibody test with high sensitivity due to a unique, 3D printing technology and an electrochemical reaction.
Pick your own project
Whether CMU engineering teams are given a week or a whole semester, their projects are always innovative and exciting.
Finding Genius Podcast
Panat on Finding Genius Podcast
MechE’s Rahul Panat was a guest on the Finding Genius Podcast; he discussed his work in microscale additive manufacturing, microelectronics, and 3D printing.
Panat receives grant to develop neural probes
MechE’s Rahul Panat is developing a new class of neural probes to map the brain. Current probes are fragile, expensive, and lack the needed resolution. Panat proposes using an aerosol jet printing technique to create high-density neural probes, which would increase access to brain tissue, allow quick prototyping, and open new avenues of treatment. For this project, he received a $1.95 million grant from the National Institutes of Health.
3D printing nanoparticle neural probes
Rahul Panat has received a R01 grant from the NIH to use a low-cost, rapid additive manufacturing method to create a new class of high-density neural probes to record neurological data.