Davood Shahrjerdi, PhD
Associate Professor, Dept. of Electrical and Computer Engineering
Member, NYU Wireless Research Center
NYU Tandon School of Engineering
Recent years have seen a rapid development of new nano-scale charge-based electronics for sensing and monitoring biochemical processes in the human body. For example, fast-scan cyclic voltammetry (FSCV) with micron-sized carbon sensors is a promising approach for monitoring serotonin (5-HT) signals in the brain. 5-HT is neurotransmitter that is known to modulate mood, cognition, memory, and numerous other physiological processes. The sensor performance using FSCV can be compromised by complex chemical reactions associated with the reduction and oxidation of 5-HT, posing considerable challenges to detection of 5-HT in vivo. Dr. Shahrjerdi’s team is developing graphitic sensors to characterize the complex electrochemistry of 5-HT under a wide range of measurement conditions. For example, they found that water plays a signiﬁcant role in driving side reactions during low-voltage FSCV measurements, leading to the observation of a well-deﬁned secondary redox couple associated with the redox reaction of tryptamine 4,5-dione. Remarkably, these side reactions can persist subsequent to the primary redox events associated with 5-HT. Their promises to lead to new FSCV protocols for more reliable 5-HT detection.
Davood Shahrjerdi received a Ph.D. degree in solid-state electronics from The University of Texas at Austin in 2008. Subsequently he held positions as Postdoctroal Research Scientist and Research Staff Member at the IBM T. J. Watson Research Center. In 2014 he joined NYU, where he was promoted from Assistant to Associate Professor in 2020. His work has been featured in various journals and conferences including Applied Physics Letters, Advanced Energy Materials, and IEEE Electron Device Meeting. He is the author and co-author of over 100 journal and conference papers. Additionally, he holds over 100 pending and issued patents. He is a Senior Member of IEEE and the recipient of several prestigious recognitions and awards, including IBM Master Inventor (2013), IBM Research Division award (2012), and IBM Outstanding Technical Achievement award (2012).