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RF Test and Measurement Circuits and Systems with Agricultural, Environmental, and Biomedical Sensor Applications
Thursday, February 4, 2016 - 3:30pm to 4:30pm
Public Welcome – Discussion and refreshments following
Speaker: Byul Hur
Abstract: RF integrated circuits (ICs) and systems have become an essential part of modern electronics. Cost effective tests and validations of RF ICs are now more important for IC design, test, and production engineers. RF tests can be expensive and complicated. Automatic Test Equipment (ATE) enables wafer and package level tests for these RF ICs. This ATE approach requires expensive equipment and devices to perform the various tests including the RF tests. In addition to the ATE approach, compact sized RF test circuits can be embedded into the ICs to aid testing of the ICs or systems. This presentation includes a brief review and introduction to the ATE and embedded RF tests. In addition, the RF test and measurement technology can be applied to various areas of research and development (R&D). The current progress of Agricultural, Environmental, and Biomedical sensor applications is introduced in this presentation along with future R&D plans in these areas.
Byul Hur received the B.S. degree in electronics engineering from Yonsei University, Seoul, Korea, in 2000, and the M.S. and Ph.D. degrees from the University of Florida, Gainesville, FL, USA, in 2007 and 2011, respectively. Since 2011, he has been a Postdoctoral Associate with the Department of Electrical and Computer Engineering, University of Florida. Also, he is currently a lecturer in the Department of Electrical and Computer Engineering, University of Florida. He is a recipient of the 2014 Technology Innovator Award from the Office of Technology, University of Florida (UF) and is an inventor or co-inventor in 10 patents and UF invention disclosures. He has over four years’ ECE industry experience. His current research interests include mixed-signal/RF circuit design and test, as well as wireless system development. He possesses extensive skills and advanced research and development experience in hardware and software.
Tuesday, February 2, 2016 - 3:00pm to 4:00pm
214A Engineering South
Refreshments and discussion to follow.
Speaker: Dr. Duy H. N. Nguyen
Abstract: The ubiquitous deployment of wireless infrastructure provides a wide range of wireless applications with different and diverse quality of service requirements. However, the rapid increase in the number of wireless subscribers and the demand for higher throughput, coverage and robustness are putting a lot of pressures on current and future wireless networks. These requirements have been the driving forces in the development of many important physical layer inventions for better utilization of the radio spectrum. Although 4G Long-Term Evolution (LTE) and 4.5G LTE-Advanced networks can support data rate at hundreds of megabits per second, future 5G networks will need a paradigm shift in wireless technologies to keep pace with the data explosion. When wireless networks become more mature and complex, most network design problems can hardly be solved using the traditional centralized approach. Moreover, centralized network design approach, which was successfully applied to engineer the wireless cellular network, may not be directly applicable to many emerging infrastructure-less wireless networks. Distributed spectrum allocation and low-complexity signal processing techniques are keys to the revolution of wireless technologies from 4.5G to 5G networks. In this talk I will cover two enabling technologies for dynamic resource allocation in 4.5G networks, namely coordinated multipoint transmission/reception and “small-cell" heterogeneous networks. Then some of the most promising wireless technology candidates for the next-generation 5G networks, including full duplex radios and millimeter wave communications, will be presented.
Duy H. N. Nguyen received the B.Eng. degree (with First Class Honors) from Swinburne University of Technology, Hawthorn, Victoria, Australia, in 2005, the M.Sc. degree from University of Saskatchewan, Saskatoon, SK, Canada, in 2009, and the Ph.D. degree from McGill University, Montréal, QC, Canada, in 2013, all in electrical engineering. From September 2013 to August 2015, he was a Research Associate at the Department of Electrical and Computer Engineering, McGill University and a Postdoctoral Research Fellow at the Institut National de la Recherche Scientifique (INRS), Université du Québec, Montréal, QC, Canada. From September 2015 to November 2015, he was a Research Assistant at the Department of Electrical and Computer Engineering, University of Houston. Since December 2015, he has been a Postdoctoral Research Fellow at the Wireless Networking and Communications Group (WNCG), The University of Texas at Austin. His research interests include signal processing for communications, resource allocation in wireless networks, convex optimization, and game theory.
Open to the public
Friday, January 29, 2016 - 3:00pm to 4:30pm
201 B Engineering South
Refreshments and discussion to follow
The world is becoming saturated with sensors that produce large amounts of data, but the salient question is how to extract useful and actionable information from these sensors. Because it is often inefficient to directly process vast amounts of raw data, an emerging theme in current research is "doing more with less." By exploiting existing structure in the data, we can efficiently extract useful information while reducing the technological requirements on processing systems. In this talk, I will present two applications (1. Detecting RF White Space and 2. Passive Radar) in which we can extract useful information from acquired data more efficiently than traditional approaches. In RF white space detection, we exploit the sparsity of spectrum usage to alleviate the requirements on the analog-to-digital converters (ADC) used in such systems, while in passive radar we exploit existing signal sources, such as digital television transmitters, so that we do not have to provide a power-hungry RF transmitter.
Andrew Harms received the B.S. degree (summa cum laude) in Electrical Engineering from the University of Notre Dame in 2008 and the Ph.D. in Electrical Engineering from Princeton University in 2013. He is currently a post-doc researcher at Duke University working with Prof. Jeffrey Krolik. Additionally, he has spent time at Air Force Research Labs working on non-linear estimation problems and at AT&T Labs working on detection of wireless television signals. His research interests include statistical signal processing, efficient sampling and processing of signals, information theory, and signal processing for radar systems.
The public is welcome
Presenter: Anqi (Andrew) Zhang, PhD
Energy-Efficient Data Collection in Wireless Sensor Networks Using Probabilistic Sleep Scheduling and Compressive Sensing
Presenter: Aram Al Muhana, MS Student
Presenter: Dr. Matthew Perry, Microsoft
Presenter: Ashish Wani, MS student
Presenter: Guan (Gary) Xu, PhD Student