CPS: Small: Collaborative Research: Dynamical-Network Evaluation and Design Tools for Strategic-to-Tactical Air Traffic Flow Management
Yan Wan
Lead PI:
Yan Wan
Abstract
The objective of the research is to develop tools for comprehensive design and optimization of air traffic flow management capabilities at multiple spatial and temporal resolutions: a national airspace-wide scale and one-day time horizon (strategic time-frame); and at a regional scale (of one or a few Centers) and a two-hour time horizon (tactical time-frame). The approach is to develop a suite of tools for designing complex multi-scale dynamical networks, and in turn to use these tools to comprehensively address the strategic-to-tactical traffic flow management problem.
Performance Period: 09/01/2010 - 08/31/2014
Institution: University of North Texas
Sponsor: National Science Foundation
Award Number: 1035386
CPS: Small: Collaborative Research: Dynamical-Network Evaluation and Design Tools for Strategic-to-Tactical Air Traffic Flow Management
Sandip Roy
Lead PI:
Sandip Roy
Abstract
The objective of the research is to develop tools for comprehensive design and optimization of air traffic flow management capabilities at multiple spatial and temporal resolutions: a national airspace-wide scale and one-day time horizon (strategic time-frame); and at a regional scale (of one or a few Centers) and a two-hour time horizon (tactical time-frame). The approach is to develop a suite of tools for designing complex multi-scale dynamical networks, and in turn to use these tools to comprehensively address the strategic-to-tactical traffic flow management problem.
Performance Period: 09/01/2010 - 08/31/2014
Institution: Washington State University
Sponsor: National Science Foundation
Award Number: 1035369
CPS: Small: Sensor Lattices
Steven Lavalle
Lead PI:
Steven Lavalle
Abstract
Using the newly introduced idea of a sensor lattice, this project conducts a systematic study of the "granularity'' at which the world can be sensed and how that affects the ability to accomplish common tasks with cyber-physical systems (CPSs). A sensor is viewed as a device that partitions the physical world states into measurement-invariant equivalence classes, and the sensor lattice indicates how all sensors are related.
Performance Period: 09/01/2010 - 09/30/2016
Institution: University of Illinois at Urbana-Champaign
Sponsor: National Science Foundation
Award Number: 1035345
CPS: Medium: Collaborative Research: Architecture and Distributed Management for Reliable Mega-scale Smart Grids
Co-PI:
Abstract
The objective of this research is to establish a foundational framework for smart grids that enables significant penetration of renewable DERs and facilitates flexible deployments of plug-and-play applications, similar to the way users connect to the Internet. The approach is to view the overall grid management as an adaptive optimizer to iteratively solve a system-wide optimization problem, where networked sensing, control and verification carry out distributed computation tasks to achieve reliability at all levels, particularly component-level, system-level, and application level.
Performance Period: 09/15/2010 - 08/31/2012
Institution: University of Illinois at Urbana-Champaign
Sponsor: National Science Foundation
Award Number: 1035340
CPS: Medium: Collaborative Research: Body Area Sensor Networks: A Holistic Approach from Silicon to Users
David Wentzloff
Lead PI:
David Wentzloff
Abstract
Body Area Sensor Networks: A Holistic Approach from Silicon to Users The objective of this research is to develop new principles and techniques for adaptive operation in highly dynamic physical environments, using miniaturized, energy-constrained devices. The approach is to use holistic cross-layer solutions that simultaneously address all aspects of the system, from low-level hardware design to higher-level communication and data fusion algorithms to top-level applications. In particular, this work focuses on body area sensor networks as emerging cyber-physical systems.
Performance Period: 10/01/2010 - 09/30/2013
Institution: University of Michigan Ann Arbor
Sponsor: National Science Foundation
Award Number: 1035303
CPS: Small: Fundamental Limitations for Classes of Cooperative Multi-Agent Systems
Abstract
The objective of this research is to study such properties of classes of cooperative multi-agent systems as stability, performance, and robustness. Multi-agent systems such as vehicle platoons and coupled oscillators can display emergent behavior that is difficult to predict from the behavior of individual subsystems. The approach is to develop and extend the theory of fundamental design limitations to cover multi-agent systems that communicate over both physical and virtual communication links.
Performance Period: 09/15/2010 - 08/31/2015
Institution: University of Michigan Ann Arbor
Sponsor: National Science Foundation
Award Number: 1035271
Robust Capacity-Constrained Scheduling and Data-Based Model Refinement for Enhanced Collision Avoidance in Low-Earth Orbit
Jeffrey Anderson
Lead PI:
Jeffrey Anderson
Abstract
The objective of this research is to improve the ability to track the orbits of space debris and thereby reduce the frequency of collisions. The approach is based on two scientific advances: 1) optimizing the scheduling of data transmission from a future constellation of orbiting Cubesats to ground stations located worldwide, and 2) using satellite data to improve models of the ionosphere and thermosphere, which in turn are used to improve estimates of atmospheric density.
Performance Period: 09/15/2010 - 08/31/2014
Institution: University Corporation For Atmospheric Research
Sponsor: National Science Foundation
Award Number: 1035250
CPS: Medium: Collaborative Research: Robust Capacity-Constrained Scheduling and Data-Based Model Refinement for Enhanced Collision Avoidance in Low-Earth Orbit
Dennis Bernstein
Lead PI:
Dennis Bernstein
Co-PI:
Abstract
The objective of this research is to improve the ability to track the orbits of space debris and thereby reduce the frequency of collisions. The approach is based on two scientific advances: 1) optimizing the scheduling of data transmission from a future constellation of orbiting Cubesats to ground stations located worldwide, and 2) using satellite data to improve models of the ionosphere and thermosphere, which in turn are used to improve estimates of atmospheric density.
Dennis Bernstein

 

Professor Bernstein's interest include identification, estimation, and control for aerospace applications. His research has focused on active noise and vibration control, as well as attitude control for space applications. His current interests are in the theory and application of nonlinear system identification, large-scale state estimation for data assimilation, and adaptive control. He is directorof the Noise, Vibration, and Motion Control Laboratory, which includes instrumentation and testbeds for control applications. A 6-degree-of-freedom electric shaker table under all-digital control is used for vibration and motion control applications. Facilities are available for implementing and testing algorithms for active noise and vibration control. Current research is focusing on adaptive command following and disturbance rejection algorithms for systems with uncertain dynamics and unknown disturbance spectra. He is co-director (with Ilya Kolmanovsky) of the Attitude Dynamics and Control Laboratory. In this laboratory, a triaxial air bearing is used to develop and implement adaptive control algorithms for spacecraft applications. He was Editor-in-Chief of the IEEE Control Systems Magazine from 2003 to 2011.

ProfBernstein has authored more than 200 journal papers and 350 conference papers. He is the author of Matrix Mathematics, which is published by Princeton University Press. (A review of Matrix Mathematics can be downloaded from:http://www.siam.org/news/news.php?id=125) Matrix Mathematics - Errata and Addenda

Performance Period: 09/15/2010 - 08/31/2014
Institution: University of Michigan Ann Arbor
Sponsor: National Science Foundation
Award Number: 1035236
CPS: Small: The Roles of Communications in Lane Merging Systems
Abstract
Vehicle automation has progressed from systems that monitor the operation of a vehicle, such as antilock brakes and cruise control, to systems that sense adjacent vehicles, such as emergency braking and intelligent cruise control. The next generation of systems will share sensor readings and collaborate to control braking operations by looking several cars ahead or by creating safe gaps for merging vehicles. Before we allow collaborative systems on public highways we must prove that they will do no harm, even when multiple rare events occur.
Nicholas Maxemchuk

Nicholas F. Maxemchuk

 

Education

·      Ph.D. Doctor of Philosophy, Systems Engineering, University of Pennsylvania, May 1975.

·      M.S. Moore School of Electrical Engineering, University of Pennsylvania, May 1970.

·      B.S. Bachelor of Electrical Engineering, The City College of New York, June 1968. (Graduated Magna Cum Laude).

 

Academic Experience

·      2001 - Present  Full Professor  Columbia University

·      2008 - Present  Chief Researsher        IMDEA Networks, Madrid

·      University of Melbourne, Visiting Academic Oct. 99.

·      Opponent: KTH Sweden, June 1997.

·      Department Visiting Committee, Comp. Sci., University of Texas at Austin 1989-92.

 

Non-Academic Experience

·      2009-2012    Consultant      NYC MTA

·      2008    Chief Scientist Telcordia

·      2007-2010       Consultant      Bell Labs, Murray Hill, NJ

·      Technical Advisory Board -  start-upEnrichnet 2000-2002

·      1996 - 2001     Technology Leader       AT&T Research Labs

·      Technical Advisory Board start-up - BrightLink Networks 1998->2001

·      1984 - 1996     Department Head AT&T Bell Laboratories

·      1976 - 1984     MTS     Bell Labs

·      1968 - 1976     MTS     RCA David Sarnoff Res. Cntr.

 

Current Membership in Professional Organizations

·      IEEE, Eta Kappa Nu and Tau Beta Pi

 

Honors and Awards

·      2006 IEEE Koji Kobayashi Award for Computer and Communications

·      1997 William R. Bennett Prize Paper Award for S. Low, N. F. Maxemchuk, S. Paul, "Anonymous Credit Cards and Its Collusion Analysis," IEEE Trans. on Networking, dec. 1996, vol. 4, no.6, pp 809-816

·      1996 R&D 100 Award for "Document Copying Deterrent System"

·      1989 Elected Fellow of the IEEE

·      1988 Leonard G. Abraham Prize Paper Award, for N. F. Maxemchuk, "Routing in the Manhattan Street Network," IEEE Trans. on Commun., May 1987, vol. COM-35, no. 5, pp. 503-512., also s elected for IEEE ComSoc 50th anniv. iss.

·      Selected for IEEE ComSoc 50th anniv. iss., and included in the DQDB standard, E. L. Hahne, A. K. Choudhury, N. F. Maxemchuk, "DQDB Networks With and Without Bandwidth Balancing," IEEE Trans. on Commun., Vol. 40, No. 7, July 1992, pp 1192-1204

Performance Period: 09/01/2010 - 08/31/2014
Institution: Columbia University
Sponsor: National Science Foundation
Award Number: 1035178
CPS: Medium: Collaborative Research: Enabling and Advancing Human and Probabilistic Context Awareness for Smart Facilities and Elder Care
Anind Dey
Lead PI:
Anind Dey
Abstract
The objective of this research is to enable cyberphysical systems (CPS) to be context-aware of people in the environment and to use data from real-world probabilistic sensors.
Performance Period: 09/15/2010 - 08/31/2014
Institution: Carnegie Mellon University
Sponsor: National Science Foundation
Award Number: 1035152
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