【IEEE DLP-1】
2017年8月3日(四)14:00~15:00
墾丁福華渡假飯店1樓
Exploiting Data-driven Inference Towards Low-energy Implementations in Intelligent Sensors
Prof. Naveen Verma (Princeton University, USA)
Abstract
For designers of sensor systems, faced with increasingly severe resource constraints (energy, area, bandwidth reliability), the focus on inferences from sensor data, rather than the sensor data itself, is a VERY liberating thing. While sensor data may express inferences of interest through extremely complex correlations, we now know quite broadly that these can be effectively modeled and analyzed through data-driven algorithms. What is liberating is that research in low-power systems is showing that not only can such algorithms be effectively mapped to resource-constrained implementations, but in fact such algorithms can actually relax the implementations themselves. As an example, I describe how data-driven learning enables us to select inference functions and/or parameters that are preferred from the perspective of low-energy implementation and further enables the implementations to exhibit substantially imperfect behaviors. Then, I look at how this can be exploited within systems architectures to alleviate traditional pain points (sensor acquisition, data conversion, memory operations). Measured results from several custom integrated-circuit prototypes are presented.
Biography
Naveen Verma received the B.A.Sc. degree in Electrical and Computer Engineering from the University of British Columbia, Vancouver, Canada in 2003, and the M.S. and Ph.D. degrees in Electrical Engineering from Massachusetts Institute of Technology in 2005 and 2009 respectively. Since July 2009 he has been with the Department of Electrical Engineering at Princeton University, where he is currently an Associate Professor. His research focuses on advanced sensing systems, including low-voltage digital logic and SRAMs, low-noise analog instrumentation and data-conversion, large-area sensing systems based on flexible electronics, and low-energy algorithms for embedded inference, especially for medical applications. Prof. Verma is a Distinguished Lecturer of the IEEE Solid-State Circuits Society, and serves on the technical program committees for ISSCC, VLSI Symp., DATE,
and IEEE Signal-Processing Society (DISPS). Prof. Verma is recipient or co-recipient of the 2006 DAC/ISSCC Student Design Contest Award, 2008 ISSCC Jack Kilby Paper Award, 2012 Alfred Rheinstein Junior Faculty Award, 2013 NSF CAREER Award, 2013 Intel Early Career Award, 2013 Walter C. Johnson Prize for Teaching Excellence, 2013 VLSI Symp. Best Student Paper Award, 2014 AFOSR Young Investigator Award, 2015 Princeton Engineering Council Excellence in Teaching Award, and 2015 IEEE Trans. CPMT Best Paper Award.
【IEEE DLP -2】
2017年8月3日(四)14:00~15:00
墾丁福華渡假飯店1樓
CMOS Microelectronics for DNA detection using Ion-Sensitive Field Effect Transistors
Dr. Pantelis Georgiou (Imperial College London, UK)
Abstract
In the last decade, we have seen a convergence of microelectronics into the world of healthcare providing novel solutions for early detection, diagnosis and therapy of disease. This has been made possible due to the emergence of CMOS technology, allowing fabrication of advanced systems with complete integration of sensors, instrumentation and processing, enabling design of miniaturised medical devices which operate with low-power. This has been specifically beneficial for the application areas of DNA based diagnostics and full genome sequencing, where the implementation of chemical sensors known as Ion-Sensitive Field Effect Transistors (ISFETs) directly in CMOS has enabled the design of large-scale arrays of millions of sensors that can conduct in-parallel detection of DNA. Furthermore, the scaling of CMOS with Moore’s law and the integration capability with microfluidics has enabled commercial efforts to make full genome sequencing affordable and therefore deployable in hospitals and research labs.
In this talk, I present how my lab is advancing the areas of DNA detection and rapid diagnostics through the design of CMOS based Lab-on-Chip systems using ISFETs. I will first introduce the fundamentals and physical properties of DNA as a target molecule and how it can be detected using different modalities through the use of CMOS technology. I will then present methods of design of ISFET sensors and instrumentation in CMOS, in addition to the challenges and limitations that exist for fabrication, providing solutions to allow design of large-scale ISFET arrays for real-time DNA amplification and detection systems. I will conclude with the presentation of state of the art CMOS systems that are currently being used for genomics and point-of-care diagnostics, and the results of our latest fabricated multi-sensor CMOS platform for rapid screening of infectious disease.
Biography
Pantelis Georgiou currently holds the position of Senior Lecturer at Imperial College London within the Department of Electrical and Electronic Engineering. He is the head of the Bio-inspired Metabolic Technology Laboratory in the Centre for Bio-Inspired Technology; a multi-disciplinary group that invents, develops and demonstrates advanced micro-devices to meet global challenges in biomedical science and healthcare.
His research includes ultra-low power micro-electronics, bio-inspired circuits and systems, lab-on-chip technology and application of micro-electronic technology to create novel medical devices. One of his key research focuses is on new technologies for treatment of diabetes such as the artificial pancreas but also develops novel lab-on-chip technology using CMOS with application in diagnostics for infection and control of antimicrobial resistance (AMR), in addition to wearable technologies for rehabilitation of chronic conditions such as osteoarthritis.
Dr. Georgiou graduated with a 1st Class Honours MEng Degree in Electrical and Electronic Engineering in 2004 and Ph.D. degree in 2008 both from Imperial College London. He has conducted pioneering work in diabetes technology and is now leading the project forward for the development of the first bio-inspired artificial pancreas for treatment of Type I diabetes. In addition to this, he made significant contributions to the development of integrated chemical-sensing systems in CMOS. He has pioneered the development of the Ion-sensitive Field effect Transistor (ISFET), an integrated pH sensor which is currently being used in next generation DNA sequencing machines. In 2013 he was awarded the IET Mike Sergeant Achievement Medal for his outstanding contributions to engineering and development of the artificial pancreas.
Dr Georgiou is a senior member of the IEEE and IET and serves on the BioCAS and Sensory Systems technical committees of the IEEE CAS Society.
He is also the CAS representative on the IEEE sensors council and an associate editor in the IEEE TBioCAS and Sensors Journals. Within the IET he also serves on the awards and prizes committee.