Amar Basu,
Professor, Electrical and Computer Engineering
Amar Basu, Ph.D. is a professor of Electrical and Computer Engineering, with a joint appointment in Biomedical Engineering at Wayne State University. He received the M.S.E. and Ph.D. degrees in Electrical Engineering (Circuits and Microsystems) and the M.S. degree in Biotechnology from the University of Michigan Ann Arbor. Upon graduation, he joined Wayne State University, where he is PI of the Microfluidics and Bioinstrumentation Lab, and director of the Wayne State Nanofabrication Facility. His overall research interests are in building translatable lab-on-a-chip and microelectronic systems for biotech and biomedicine. One trajectory of work is in multiphase microfluidic systems, including droplet-based digital assays, particle and cell sorting, novel sensing methods using interfacial phenomena, and computer vision applied to cytometry. Another trajectory includes wearable sensors for health monitoring, and portable systems for environmental monitoring. He is the lead PI for a grant that will acquire one of the first industry-scale 2 photon nanoscale 3d printing system to North America.
Amar has served as the track chair of Micro and Nanotechnologies at the Society of Laboratory Automation and Screening (SLAS), track chair of microfluidics/emerging sensors in IEEE Sensors and IEEE Transducers. He currently serves on the editorial board of SLAS Technology Journal, and Frontiers in Lab on a Chip Technologies. From 2015-2016 He was a visiting research scientist at Intel Corporation and at the Aston Mass Spectrometry Lab under Prof. Graham Cooks. He was VP of Engineering and Digital Assays at Bioelectronica during entrepreneurial leave in 2017-2019 and continues to work with the company to develop Hypercell computer vision single cell sorting technology. The Hypercell platform won the SLAS best new product award in 2020, and the Innovation Showcase award from the International Society for Advancement of Cytometry (ISAC) in the same year. The TRACE wearable sensor, developed by his lab and being commercialized through TRACE Biometrics, won the poster pitch competition at the 2024 National Insitutes on Aging A2 symposium as the most promising new technology for healthy aging.
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