Dr. Muhammad S. Ullah is an associate professor of electrical and computer engineering at Florida Polytechnic University. His research focuses are the modeling of RLC interconnects in high density integrated circuits and energy efficient electronic devices (TFET) for logic applications based on emerging 2-D nanomaterials (MoS2, Graphene, and CNT). He also worked on a neural network-based classification of deceptive and stress speech using non-linear spectral and cepstral features during his master’s study. In his Ph.D. dissertation, he investigated the high-speed very-large-scale integration (VLSI)interconnect and energy efficient electronic devices for emerging post-MOSFET and beyond silicon technologies.
Before joining Florida Poly, Ullah worked as a full-time lecturer from 2008 to 2011 in the Chittagong University of Engineering & Technology (CUET), Bangladesh. From 2011 to 2013, he worked as a teaching assistant at Purdue University Northwest. He began working as a full instructor at the University of Missouri-Kansas City while he pursued his doctoral degree. He has taught undergraduate courses in electrical circuits, digital logic designs, signals and systems, and graduate courses in advanced digital signal processing, introduction to VLSI designs, advanced VLSI designs, and emerging nanotechnology, including hands-on experience in MATLAB, Cadence Virtuoso, and HSPICE.
Ullah has served as a regular reviewer of many journals and conferences, including IEEE Transactions on very large scale integration systems, IEEE International Symposium on Circuits and Systems, IEEE Midwest Symposium on Circuits and Systems, Microelectronics Journal-Elsevier and Circuits, Systems and Signal Processing-Springer, and ASP Journal of Low Power Electronics.
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