Speaker: Prof. L. Richard Carley
Title: Successive Approximation and Time Interleaving for Sub-90nm CMOS ADCs
Host: Dr. Andrey Andrenko
Date and Time: 14:00-15:00, March 7, 2016
Venue: JRI S103
Abstract: In the early days of MOS integrated circuits (way back in the 1970’s),getting any kind of accurate analog-to-digital converter (ADC) to work was very challenging. Designers only had depletion-mode and enhancement-mode NMOS transistors to work with; and, getting even modest analog voltage gain was quite difficult. The successive approximation ADC, which does not require an amplifier (just a comparator), took off as a dominant ADC architecture in those early days of MOS. Then, as CMOS took hold in the 1980’s, many other ADC architectures took over and successive approximation became just one of many possible choices.
As CMOS process technology scales below gate lengths of 28nm and below, achieving analog voltage gain is again becoming a major challenge. In part, the more three dimensional nature of a very short channel MOSFET results in drain induced barrier lowering that typically drops the maximum gain of a single transistor amplifier down into the 5-10X range. Further, because the power supply voltages have dropped down to 1V or below, adding cascode transistors to increase voltage gain is also difficult. In this talk, the successive approximation ADC architecture will be reviewed. Two very different 45nm CMOS ADC designs that were developed in my group at Carnegie Mellon will be described. The first ADC adopts digital error correction techniques to increase the accuracy of the basic successive approximation ADC to over 11 bits. The second ADC to be described develops strategies for achieving extremely high sampling rates (over 2GS/s) using time interleaving of successive approximation ADCs. The conclusion of this talk is that the characteristics of deeply scaled CMOS technologies have caused a re-emergence of the popularity of successive approximation ADCs.
Introduction on the Speaker: L. Richard Carley received an S.B. in 1976, an M.S. in 1978, and a Ph.D. in 1984, all from the Massachusetts Institute of Technology. He joined Carnegie Mellon University in Pittsburgh Pennsylvania in 1984, and in March 2001, he became the STMicroelectronics Professor of Engineering. Dr. Carley’s research interests include design, modeling and analysis of hardware and algorithms related to data communications networks, human/cyber networks, and data storage devices. The technologies he applies to these systems include analog and RF integrated circuit design in deeply scaled CMOS technologies and novel nano-electro-mechanical device design and fabrication. Dr. Carley has been granted 26 patents, authored or co-authored over 120 technical papers, and authored or co-authored over 20 books and/or book chapters. He has won numerous awards including Best Technical Paper Awards at both the 1987 and the 2002 Design Automation Conference (DAC). In 1997, Dr. Carley co-founded the analog electronic design automation startup Neolinear which was acquired by Cadence in 2004.
Speaker: Prof. KATHLEEN M. CARLEY
Title: Dynamic Network Analysis
Host: Dr. Andrey Andrenko
Date and Time: 15:20-16:20, March 7, 2016
Venue: JRI S103
Abstract: Traditionally network science has focused on small networks of who talks to whom. While this approach is good at understanding who has power in an organization, it does not help explain how task groups should be designed, or who is important in social media, or who is important in what location. Dynamic network analysis is an extension of the traditional social networks to high dimensional time varying networks. In this talk, the notion of dynamic network analysis is introduced and then examples of its use in analyzing organizational and social media data are provided. New metrics for dynamic network analysis and tools for conducting such analyses are described.
Introduction on the Speaker: Experience Dr. Carley is a Professor of Computer Science in the Institute for Software Research, IEEE Fellow, and Director of the Center for Computational Analysis of Social and Organizational Systems at Carnegie Mellon University. She joined Carnegie Mellon in 1984 as Assistant Professor Sociology and Information Systems. In 1990 she became Associate Professor of Sociology and Organizations, in 1998 Professor of Sociology, Organizations, and Information Technology, and in 2002, attained her current role as Professor of Computation, Organization, and Society. She is also the CEO of Carley Technologies Inc. aka Netanomics.
Dr. Carley’s research combines cognitive science, sociology, and computer science to address complex social and organizational issues. Her most notable research contribution was the establishment of Dynamic Network Analysis (DNA) – and the associated theory and methodology for examining large high-dimensional time variant networks. Her research on DNA has resulted in tools for analyzing large-scale dynamic networks and various multi-agent simulation systems. Her group has developed tools for extracting sentiment, social and semantic networks from social media and other textual data (AutoMap), simulating epidemiological models (BioWar), simulating covert networks (DyNet), and simulating changes in beliefs and practice given information campaigns (Construct). Her ORA system is one of the premier network analysis and visualization engines supporting geo-temporal analysis of social network and meta-network data. It is used worldwide and at several of the combatant commands. Illustrative projects include assessment of IRS outreach activities, assessment of impact of NextGen on airline re-rerouting, counter-terrorism modeling, counter-narcotics modeling, assessment of design of public-health departments, mapping the global cyber-attack network, and social media based assessment of crises such as Benghazi, Darfur, and the Arab Spring.
Education Dr. Carley received SB degrees in Economics and in Political Science from M.I.T., and a PhD degree in Sociology from Harvard University.
Publications Among Dr. Carley’s many scientific publications, she co-authored papers “Destabilizing Terrorist Networks” (2003), “Social Network Monitoring of Al-Qaeda” (2007), “Findings from an organizational network analysis to support local public health management” (2008), “Who was Where, When? Spatiotemporal Analysis of Researcher Mobility in Nuclear Science” (forthcoming), “Social Networks, Social Media, Social Change” (forthcoming) , “Rapid Modeling and Analyzing Networks Extracted from Pre-Structured News Articles” (2012), “What if Wireless Routers were Social? Analyzing Wireless Mesh Networks from a Social Networks Perspective” (forthcoming), “BioWar: Scalable Agent-based Model of Bioattacks” (2006).
Honors Dr. Carley is an IEEE Fellow. She is the recipient of the Allen Newell award for research excellence. She has served as President of the North American Association for Computational and Organizational Simulation (2003-2004) and of the Mathematical Sociology Section of the American Sociological Association (1999-2000). She received the Lifetime Achievement Award from the Sociology and Computers Section of the ASA (2001). In 2011 she received the Simmel Award for advances in the area of social networks from INSNA and became a senior member of the IEEE. She has served as a Task Force Member of the Defense Science Board and of Geographic Information Science Panel of the Strategic Command. She has served on a committee and several panels of the National Research Council including ones on the military, big data, and geo-spatial analytics and was a member of the DHS-HSSTAC.