Hossein Miri Lavasani
Assistant Professor, Case Western Reserve University
Hossein Miri Lavasani is currently an assistant professor in the department of EECS at Case Western Reserve University working on low power adaptive circuits for smart sensor nodes within IoT. He received his Ph.D. degree from Georgia Institute of Technology in 2010 where he worked on the development of gigahertz MEMS-CMOS reference oscillators under the supervision of Prof. Farrokh Ayazi. His work on low power interface circuits for MEMS and sensors has resulted in dozens of high-ranking journal articles and conference papers including in the JSSC, JMEMS, ISSCC, RFIC, and IEDM.
Hossein is a senior member of IEEE and currently serves on the technical program committee of IEEE CICC. He and his student have won the best student paper award at 2017 IEEE CSICS for their work on an energy-efficient 10Gbps LVDS-compatible receiver in SiGe BiCMOS. In addition to that, Hossein is the recipient of Connection One Research Fellowship at ASU in 2002. He has several years of industry experience in top semiconductor companies specializing in RF and analog IC design such as Broadcom and Qualcomm Inc. resulting in 6 issued and several pending U.S. and international patents.
The Fourth Industrial Revolution (FIR) is characterized by a fusion of technologies that is blurring the lines between the physical, digital and biological spheres, collectively referred to as cyber-physical systems. Internet of Things (IoT) is considered a revolutionary technological platform supporting data communication in such systems. However, the ever-increasing size of this global network has led to the exponential growth of the data traffic (> 1.4× per year) in recent years, requiring miniaturized low power transceivers with high data throughput not feasible with conventional radio frequency circuit design techniques. In addition to high-speed data communication, reliable low power wireless connectivity is needed to link billions of intelligent objects at a low cost within the global distributed network. To overcome these challenges, a revolution/paradigm shift in circuit design is needed.
This presentation focuses on the development of a true IoT-compatible network consisting of high-speed data transceivers, smart sensors, microelectromechanical (MEM) devices, and low power cognitive radios. I will present ideas on efficient high-speed data communication as well as ultra-low power radios whose application help overcome obstacles in creating a low cost universal platform to integrate sensors with low power RF circuits. I will also discuss innovative low power interface circuits for MEM resonators needed for high-performance low-power clocks used in such radios. Finally, I will discuss the emerging trend to add AI functionality to various objects within this smart network which facilitates intelligent human-machine interaction and creates a truly cognitive network.