Spring Section Conference
Thursday, April 7, 2011 5pm - 9pm
IEEE Southeastern Michigan Section
We are very pleased to present the following invited presentations at the Nanotechnology Conference.
for the full conference schedule.
For keynote speaker information, see the
For some background information, see the Introduction to the Technical Topics page.
The advanced program booklet is also available as a
Geoscience & Remote Sensing Society
Smart Lakes = Great Lakes: Using Technology to Advance Resource Management
The Great Lakes ecosystem, the largest freshwater system in the world, is a dynamic and complex
interaction of biological, chemical and physical components that is not yet fully understood. Observing
systems, including sensors, stations, networks and field data collection are the primary means for
gathering information on the chemical, biological and physical characteristics of the Great Lakes
ecosystem. These observations are used in a host of monitoring programs to take the pulse of
the Great Lakes, assess natural variability, drive ecosystem forecasting models, and assess the progress of restorations efforts.
Great Lakes Observing System (GLOS) is a nonprofit organization established to advance the
coordination of the extensive Great Lakes regional observing network of people, processes and
technology that work together to maximize access to critical, real-time and historical information
about the Great Lakes and St. Lawrence River system for use in managing, safeguarding and
understanding these immensely valuable freshwater resources. GLOS coordinates Great Lakes
observations, information technology, data delivery products, and related services by developing
a broad network of members and providing a forum for collaboration and communication. Through its
role as a data management facilitator, GLOS makes a broader suite of data available to scientists,
resource managers, decision-makers and other data users, allowing them to develop a more complete
characterization of our Great Lakes by collecting and bringing data together to be used with
other data sets, in models, and in data visualization products.
Kelli Paige is the Project Coordinator for The Great Lakes Observing System (GLOS). She
is originally from Chicago where she received her BA in Public Policy from
and worked as a Watershed Project Coordinator with Friends of the Chicago River. She went on
to get her MS in Resource Ecology and Management from the University of Michigan and has
previously worked for The Nature Conservancy as an Outreach Coordinator in Toledo, Ohio.
|Dr. Candace and|
Dr. John Suriano
MOM Knows Best: How Method of Moments Can Solve Today's Complex World Problems
Math Goes Green: How the Method of Moments (MOM) Is The Original Green Math!
Dr. Candace and Dr. John Suriano
Come to this session to find out how the Method of Moments (MOM) is truly
Green math. Method of moments is a classic numerical tool used by antenna engineers. We will
attempt to demonstrate that the Method of Moments (MOM) is a SIMPLE numerical technique for solving
many different physical problems, particularly in electromagnetics. MOM is useful for studying
systems in which the reaction of each part is dependent upon the reaction of each other part. Examples
include charge distributions on objects, radiation and impedance of antennas, electromagnetic fields in
dielectric or permeable materials, asteroid positions around the Millenium Falcon, and reaction of
the stock market. The basics of the Moment Method will be presented with more emphasis on practical explanation than on scary equations.
Candace Suriano is a graduate of
GMI Engineering and Management Institute
(BSME) and has graduate
(MSME, MSE) and the
University of Dayton
(Ph.D.). She is the author of numerous papers on electromagnetic compatibility and chaired an antennas and probes workshop at several
IEEE EMC symposia. Her interests are in the areas of electromagnetic compatibility and electromagnetic
modeling. Candace is a mom with interests in MOM.
John Suriano is a graduate of
GMI Engineering and Management Institute
(BSEE) and has graduate
(MSME, Ph.D.). He supervises an EMC laboratory for
Nidec Motors and Actuators
in Auburn Hills, Michigan. He has interests in electric motors and electromagnetic modeling.
Industry Applications Society - Power Engineering Society
|Dr. Tomy Sebastian
Industrial Electronics Society - Power Electronics Society
Influence of the Advances in Power Electronics, Electromagnetic Actuators and Control in Automotive Steering Systems
Dr. Tomy Sebastian, IEEE Fellow
Developments in control and power electronics and in electric machines are fuelling the application
of Electrical Drives in automobiles. This is especially true in automotive steering systems where
conventional hydraulic based systems are being replaced by electromechanical systems. In addition to
providing the basic function of directional control, these systems are focusing more on comfort, fuel
economy, and active safety. This presentation will discuss the impact of the electrical motor drives on steering system technologies.
Tomy Sebastian received the Ph.D. degree from the
University of Toronto, Canada, in 1986. He was
with the R&D Center of Black and Decker in Towson MD from 1987-1992. Since 1992 he has been working
at the Innovation Center of Nexteer Automotive in Saginaw, MI, where he is currently the Chief Scientist. He also
taught several courses on Power Electronics, Motor Drives and Advances Motor Design at
University of Maryland, College Park, MD,
The Ohio State University
, Columbus, OH and University of Toronto, Ontario, Canada at various times.
Dr. Sebastian is a Fellow of IEEE. He is co-recipient of an IEEE Industry Application Society Transactions
first-prize paper award. He is the recipient of the 2010 IEEE Industry Applications Society Outstanding Achievement
award. He was the General Chair for the First IEEE Energy Conversion Congress and Exposition (IEEE ECCE 2009) held in San Jose, CA.
Control Systems Society
Improved Fuel Economy by Eliminating Idle Speed Spark Retard for Lean Burn Applications
Reduced engine idle speed reduces fuel consumption but requires active idle
speed control (ISC) to avoid stalls due to accessory load disturbances. For
gasoline engines, spark advance is used in conjunction with air flow for the
idle speed control. However, for spark control to be effective the nominal
spark timing has to be retarded from the optimal timing to allow spark to
increase torque. This offsets the fuel consumption benefit from lower speeds.
During lean homogenous operating modes, Fuel Assisted ISC (FA-ISC) uses
fuel to increase torque (similar to diesel and gasoline stratified charge)
eliminating the need for the retarded nominal spark. The engine then
operates close to optimal spark and the lean air fuel limit for optimal fuel
Jim Kerns, a Senior Engineer at Ford Motor Company, has spent the last 35 years
working on improvements to powertrain and emission controls as well as on board
diagnostics. Currently, he is working in Powertrain Controls Research and
Development where he has been a central figure in the design of the current
generation of air fuel control and diagnostics at Ford Motor. Other work has
included algorithm design for controlling active aero devices and lean burn air fuel
control. To date, he has been granted 59 U.S. patents and has several others
pending. Jim has a B.S. in Mechanical Engineering from the University of
Michigan, and a M.S in Systems and Controls form Wayne State University.
Aerospace & Electronic Systems Society - Communications Society
One Company's Trek for Enabling Employee Owned Smartphones in the Enterprise
Randy Nunez, Ford Enterprise Technology-Research
A number of trends that are causing companies to look more closely at the use
of individual-liable (employee-owned) smartphones for business purposes. This presentation
will discuss Ford's journey in using employee-owned devices in the enterprise. The
presentation will include reasons behind the effort, key highlights of the journey, a
description of the current program, and conclude with recommendations.
Randy Nunez works in Ford's Enterprise Technology-Research organization as the technical
lead for the Mobile Computing workstream, where he is responsible for researching mobile computing
technology trends, executing proofs-of-concepts for technology prove-out, publishing internal
technical briefs, and delivering technology presentations to all levels of IT. Randy has a
BSEE with a concentration in Telecommunications.
Vehicular Technology Society
USA" aired on TV in 1958.
|GM Firebird II 1956|
and GM Firebird III 1959
Vehicle Automation - Then and Now
The dream of automated highways has been publicized since 1939. Interest and research has continued
thorough out the years up to the present time.
The GM Firebird II (1956) and Firebird III (1959) turbine future cars were designed to operate on an
automated highway envisioned by General Motors. Walt Disney, in 1958, hosted the "The Magic Highway - USA" segment
on his weekly Television show "Walt Disney's Wonderful World of Color"
The National Automated Highway demonstration that took place in San Diego in 1997 successfully
demonstrated that the technology exists to build automated vehicles and highways but do people
want to fund the construction and do they feel comfortable about using it? What is the Federal
Government and governments around the world is doing to study vehicle automation? What decisions
are already planned and what is the timing?
Bob will describe:
- Some of the history of Automated Highways
Bob's involvement in the National Automated Highway Demonstration in 1997
Factors influencing automated features that have evolved since the demonstration in 1997
How vehicle to vehicle communication will influence our future vehicles by using Dedicated Short Range Radio (DSRC) for vehicle to vehicle (V2V), vehicle to infrastructure (V2I) and infrastructure to vehicle (I2V).
Bob is engaged in Sales and Marketing for companies involved in high technology people, products and services. Currently Bob represents Alpine Electronics Laboratories for EMC and environmental testing, Ingenium EMC Testing Laboratory, Fortune Personnel Consultants of Troy a recruiting company, Meridian Industries an electronics manufacturing company, Sales and Marketing Insight his strategic marketing company, and Intrass a Vehicle-to-Vehicle communications company.
Bob is a corporate officer in the Intrass Corporation, which is a startup company involved in patented 5.9 GHz Dedicated Short Range Radio (DSRC) technology for Vehicle-to-Vehicle (V2V) communications that accomplish vehicle collision warning applications.
Bob is Chairman of the SAE J2735 DSRC Vehicle Safety Subcommittee and is a member of the SAE J2735 DSRC Standard Technical Committee that has written the interoperability standard for V2V communication so vehicle manufacturers may communicate with each other.
Bob spent 12 years at Eaton in various technical and marketing positions. The majority of Bob's time at Eaton was spent in the VORAD Division working on collision warning, adaptive cruise control and blind spot warning using 24 GHz and 77GHz radar. Bob was Technical Lead for Eaton's participation in the National Automated Highway Demonstration in 1997. Bob earned his Six Sigma Black Belt while at Eaton.
Bob serves the IEEE South Eastern Michigan Region and the EMC Society as Marketing Chairman and is working on several projects for IEEE International EMC Society. Bob was Marketing Chairman for the International Electromagnetic Compatibility Symposium at Detroit Cobo Center in August of 2008. Bob is also Marketing Chairman for the Professional Ski Instructors of America / American Association of Snowboard Instructors Central Division and a member of their Board of Directors. Bob is a Level II Certified and Advanced Accredited ski instructor.
Bob Graduated from Ferris State University with a Bachelor of Science Degree in Business and an Associate in Arts Degree while studying Engineering.
Signal Processing Society - Circuits & Systems Society - Information Theory Society
|Dr. Iqbal Husain
Chapter 1 (1st of 2 speakers)
Electric Motor Drives and Power Electronics for Electric/Hybrid Vehicles and Renewable Energy Systems
Dr. Iqbal Husain
Iqbal Husain is a Professor of Electrical and Computer Engineering at The University of Akron, Akron, Ohio. He
received the B.Sc. degree from Bangladesh University of Engineering and Technology, Bangladesh, and the
M.S. and Ph.D. degrees from Texas A&M University, College Station, Texas, in 1987, 1989 and 1993,
respectively. Dr. Husain's research interests are in the areas of control and modeling of electrical drives, design of
electric machines, development of power conditioning circuits, microinverters for distributed power generation, inverter
controls for grid synchronization, and modeling of electric and hybrid vehicle systems. He has worked extensively for
the development of SR and PM motor drives for various automotive and industrial applications. He manages the electric
and hybrid vehicle program at the University of Akron. He is the past chairman of the IEEE-IAS Electric Machines Committee, the
current Technical Program Committee Co-Chair of the Energy Conversion Congress & Expo (ECCE), and a member of
the Steering Committee for the IEEE-PEV conference. Dr. Husain received the 2006
SAE Vincent Bendix Automotive Electronics Engineering Award, the
2004 College of Engineering Outstanding Researcher Award, the 2000 IEEE Third Millennium Medal, the
1998 IEEE-IAS Outstanding Young Member award, and several IEEE-IAS prize paper awards. He became an IEEE Fellow in 2009.
Signal Processing Society - Circuits & Systems Society - Information Theory Society
|Dr. Le Yi Wang
Chapter 1 (2nd of 2 speakers)
Real-Time Modeling and Identification of Battery Systems for Enhanced Battery Management
Dr. Le Yi Wang
Renewable energy generation, vehicle electrification, and smart grids rely critically on energy storage
devices for enhancement of operations, reliability, and efficiency. Battery systems consist of many
battery cells, whose characteristics are different even when they are new, and change with time and
operating conditions due to a variety of factors such as aging, operational conditions, and chemical
property variations. Their effective management requires high fidelity models. This talk will present
some recent advancement on adaptive estimation of SOC (state of charge), modeling and identification
algorithms for battery models that capture individualized characteristics of each battery cell and produce
updated models in real time, and estimation of cell voltages without cell-level sensors. We will show that
typical battery models may not be identifiable. Unique battery model structures require modified input/output
expressions, and standard least-squares methods will encounter identification bias. Modified model
structures and identification algorithms are devised to resolve these issues. System identifiability,
algorithm convergence, identification bias, and bias correction mechanisms are rigorously established. A
typical battery model structure is used to illustrate utilities of the methods.
Le Yi Wang received the Ph.D. degree in electrical engineering from
McGill University, Montreal, Canada,
in 1990. Since 1990, he has been with
Wayne State University, Detroit, Michigan, where he is currently a
Professor in the Department of Electrical and Computer Engineering. His research interests are in the areas
of complexity and information, system identification, robust control, H-infinity optimization, time-varying
systems, adaptive systems, hybrid and nonlinear systems, information processing and learning, as well as
medical, automotive, communications, power systems, and computer applications of control methodologies. He was
a keynote speaker in several international conferences. He serves on the IFAC Technical Committee on Modeling,
Identification and Signal Processing. He was an Associate Editor of the
IEEE Transactions on Automatic Control and several other journals, and currently is an Editor of the Journal of System Sciences and Complexity and
an Associate Editor of Journal of Control Theory and Applications.
Systems, Man, & Cybernetics Society
Low energy routing, distance to empty and green planning for battery electric vehicle
This presentation discusses application concepts for solving the problems of range
anxiety, green routing and green planning for battery electric vehicles. Key to these
applications is a method of predicting the amount of energy the vehicle will consume at any
time or location along a given route. Inputs include factors such as driver behavior, weather,
vehicle interactions, traffic control and topography. Predictions must provide a reasonably accurate
forecast of energy consumption as well as a useful representation of the accuracy of the
forecast. Applications are needed that present the expected cost and the range of certainty of the expected cost.
Mr. MacNeille is currently leading a project for estimation of in-use energy consumption for
electric vehicles. During graduate school at Case Western Reserve University he developed
forecasting models for earthquake prediction. Since then he has worked on modeling molecular
structures, combustion simulations, sheet metal forming simulations, robot and coordinate measuring
machine path planning simulation and traffic simulation. He has also worked on developing
spoken dialog systems for human-machine interfaces and implementation of special purpose computing
architectures from massively parallel systems to embedded vehicle processors. Mr. MacNeille is an
inventor on over 26 patents, published more that 20 papers and has recently received a
Technical Achievement Award for work on the Emotive Driver Advisory System (EDAS).
Robotics & Automation Society
Sustainable Manufacturing Research: Challenges and Opportunities
In the last 30 years, the automotive industry has been focused on improving the energy
efficiency and performance of vehicles; however, because of increasing energy costs, it has
now become just as important to increase the efficiency by which vehicles are manufactured. An
essential step towards improving energy efficiency is to first identify opportunities through
measurement of energy consumption followed by development and implementation of advanced
technologies. This presentation will focus on the role of manufacturing research in the
area of sustainability and the environment through an integrated approach to plant facilities and processes.
Jorge Arinez is currently a staff researcher in the Manufacturing Systems Research Lab at the
General Motors R&D Center. His research interests include the real-time monitoring, control,
and quality of manufacturing systems with a focus on energy efficiency of plant operations.
Inexpensive Highly Parallel Computing on the Desktop
This talk will focus on using the Nvidia CUDA technology to realize robust, high throughput parallel
algorithms at bargain prices [one can put 512 cpus to work in parallel within a PC enclosure for as
little as $400]. The increased throughput from CUDA can enable more robust solutions in many disciplines: signal
and image processing, bioinformatics, CAD, and other engineering oriented, computation-bound areas. CUDA is an
evolving yet robust technology but realizing its potential is not a straightforward task. In the presentation I explain
that typically one needs to turn algorithms inside-out in order to realize them in the CUDA parallel universe
and how to go about that. If time permits I can include examples from image processing.
Mr. Morgenstern is a systems engineer whose career has focused on developing successful products and systems that
integrate sensors with image and/or signal processing. He has developed algorithms for the automatic extraction of
information from a diverse set of sensors including multiband video cameras, FLIRs, multispectral scanners, LIDAR and
other 3D imagers, Radar, Synthetic Aperture Radar, medical EKG, medical ultrasound, UV and XRay. He was a part of the core
team that developed the Black Beam Interferometer for 3D inspection of high quality surfaces. He has worked in remote
sensing, industrial inspection, space observation and military sensing. He participated in the design of the Thematic
Mapper. Lately he has developed algorithms on massively parallel computers and also on GPGPU parallel
systems. Mr. Morgenstern holds BS degree from the University of Michigan in Physics and a MS degree in Systems
Engineering from the University of Michigan School of Engineering. Mr. Morgenstern is a member of IEEE and SPIE.
Antennas & Propagation Society - Electron Devices Society - Microwave Theory and Techniques Society
|Dr. Tal Carmon
Harnessing Radiation Pressure
Tal Carmon, Ph.D., Assistant Professor, University of Michigan, Ann Arbor, MI, USA
I will report on our recent experimental results in exciting mechanical modes
from 50 MHz to 11 GHz in silica micro-spheres. The vibration is excited with light and
is opening a new way to control optical devices. Applications include local oscillators and sensors.
Dr. Tal Carmon is an Assistant Professor at the Optics and Photonic center at
University of Michigan, Ann Arbor where he uses the pressure that light applies to
control photonic-MEMS. He received his PhD from the
Israel Institute of technology and
is the recipient of the
Air Force Young Investigator Award.