IEEE - Aerospace and Electronic Systems - November 2019 - 7

2019 Aerospace & Electronics Systems Society Distinguished Lecturers
Contact: Lorenzo Lo Monte, Vice President ± Education
All AESS Chapters and IEEE Sections are encouraged to take advantage of the AESS Distinguished Lecturer and Tutorial Program for their regular or special meetings,
allowing them to select from an outstanding list of truly distinguished speakers who are experts in the technical fields of the society. The AES Society will pay reasonable
VSHDNHU¶VH[SHQVHVIRUHFRQRP\-class travel, lodging and meals, with the inviting IEEE AES chapter expected to cover 50% of the speaker's expenses. SSHDNHU¶VH[SHQVHV
involving travel wholly within North America or within the European Union can generally be approved to be covered up to $1,000 USD. Expenses involving extensive
international travel can be approved to be covered up to $2,000 USD. The Society encourages arrangements whereby more than one lecture is presented in a single trip,
and costs in such situations will be considered on a case by case basis. Non-IEEE entities (such as universities, research organizations, and companies) are certainly
eligible to contact speakers directly. If a speaker agrees to give the non-IEEE lecture, the AESS has no responsibilities for any arrangements or costs regarding the lecture,
and the inviting organization is required to pay all of the speaker's expenses as mutually agreed between the speaker and the organization. Speakers are advised to keep
the VP Education apprised of all their Distinguished Lectures, whether or not financial support from the Society is involved. The procedure for obtaining a speaker is as
follows: If a Chapter or Section has an interest in inviting one of the speakers, it should first contact the speaker directly in order to obtain his or her agreement to give
the lecture. After this is accomplished, the Chapter or Section must notify the AESS VP for Education, Lorenzo Lo Monte, lorenzo.lomonte.us@ieee.org, by sending in
a DL Request Form. If financial support from the AESS is required IRUWKHVSHDNHU¶VH[SHQVHVKHRUVKHPXVWVXEPLWDQHVWLPDWHWRWKH$(6693IRU(GXFDWLRQEHIRUH
incurring any expenses. This estimate must be provided at least 45 days before the planned meeting to provide time for feedback from the VP for Education and for
changes if needed. The VP for Education must provide written authorization to proceed.

Onboard Adjustable Learning Rates for
Autonomous Space Vehicle Proximity Operations

Radar Adaptivity: Antenna Based Signal
Processing Techniques

Robert C. Rassa, Raytheon Company
rcrassa@raytheon.com

Maruthi R. Akella, University of Texas at Austin
makella@mail.utexas.edu

Alfonso Farina
alfonso.farina@outlook.it

Target Tracking and Data Fusion: How to Get the
Most out of Your Sensors

Robust Adaptive Array Processing for Radar

Optimum Co-Design for Spectrum Sharing
Between MIMO Radar and MIMO
Communication Systems

Yaakov Bar-Shalom, University of Connecticut
ybs@engr.uconn.edu

Over-The-Horizon Radar: Fundamental
Principles, Signal Processing and Emerging
Applications

High-Level Information Fusion Theory,
Models and Representations

Giuseppe Fabrizio, Defence Science & Technology
Organisation

Erik P. Blasch, US Air Force Research Lab
erik.blasch@gmail.com

joe.fabrizio@dsto.defence.gov.au

On Radar Privacy in Shared Spectrum Scenarios
Multidimensional Sparse Fourier Transform and
Application to Digital Beamforming Automotive
Radar
Athina Petropulu, Rutgers University
athinap@rutgers.edu

Sea and Land Clutter Statistical Analysis and
Modeling

Cooperative Control and Resilient Operations of
Unmanned Vehicles

Advanced Techniques of Radar Detection in NonGaussian Background

Distributed Kalman Filter Design and Applications

Fundamentals of Inertial Navigation
Fundamentals of Inertial Aiding

Sensor selection for Multistatic Radar Networks

Michael S. Braasch
braaschm@ohio.edu

Maria Sabrina Greco, University of Pisa
m.greco@ieee.org

Zhihua Qu, University of Central Florida
qu@ucf.edu

Phased-Arrays and Radar

The Challenge of Waveform Diversity

MIMO Demystified and Its Conventional
Equivalents

Bistatic & Multistatic Radar

Characterization and Mitigation of Multipath in
GNSS

Metamaterial Advances for Radar and
Communications
Around the World in 60 Minutes
Eli Brookner, Raytheon Company (Retired)
eli.brookner@gmail.com

Hugh D. Griffiths, University College London
h.griffiths@ieee.org
Multistatic Exploration: Introduction to Modern
Passive Radar and Multistatic Tracking & Data
Fusion

National Missile Defense

Tracking and Sensor Data Fusion: Methodological
Framework and Selected Applications

Larry Chasteen, University of Texas - Dallas
chasteen@utdallas.edu

Wolfgang Koch, Fraunhofer FKIE
wolfgang.koch@fkie.fraunhofer.de

Is There a Royal Road to Robustness?

Feature Object Extraction: Evidence Accrual
Applied to Information Assurance and Other
Problems

MIMO Radar: Snake Oil or Good idea?
Never Trust a Simulation without a Simple
Back-of-the-Envelope Calculation that explains it
Nonlinear Filters with Particle Flow
Real World Data Fusion
Frederick E. Daum, Raytheon Company
frederick_e_daum@raytheon.com

Navigation: The Road to GPS and Getting
Beyond It
Kathleen Kramer, University of San Diego
kramer@sandiego.edu
Radar Systems Prototyping

Ultra Wideband Surveillance Radar

History and Future of Radar and EW

Mark E. Davis, Independent Consultant
medavis@ieee.org

Lorenzo Lo Monte, Telephonics
lorenzo.lomonte.us@ieee.org

Space Avionics and Scientific Instruments for
Unmanned Space Missions
Walter D. Downing, Southwest Research Institute
walt.downing@swri.org

Inertial System and GPS Technology Trends
Navigation Sensors and Systems in GNSS
Degraded and Denied Environments (Or How I
Learned to Stop Worrying About GPS)
George T. Schmidt
gtschmidt@alum.mit.edu
Inside Apollo: Heroes, Rules and Lessons Learned
in the Guidance, Navigation, and Control (GNC)
System Development
How it Works ± UAV Technology Overview
+RZLW¶V8VHG± UAV Applications and Business
Opportunities
+RZLW¶V0DQDJHG± UAV Policies and Regulations
A Course for New Drone Operators
Vince Socci
socci@ieee.org
A Primer on Various Approaches to Data
Association
Maximum-Likelihood Methods in Target Tracking
and Fundamental Results on Trackability
Distributed Detection and Data Fusion
Peter Willett, University of Connecticut
willett@engr.uconn.edu



Knowledge Based Radar Signal and Data
Satellite Navigation and Sensing: A Match Made in Processing
Heaven
Radio Frequency Tomography
Y. Jade Morton, University of Colorado, Boulder
jade.morton@colorado.edu

Business Case for Systems Engineering: Is Systems
Engineering Effective?
Dated: November 2019

Cooperative and Distributed Guidance

Space Time Adaptive Processing
Michael C. Wicks, University of Dayton
mwicks1@udayton.edu
IEEE - Aerospace and Electronic Systems - November 2019

Table of Contents for the Digital Edition of IEEE - Aerospace and Electronic Systems - November 2019
