October 14, 2020
Automotive Radar – A Signal Processing Perspective on Current Technology and
Future Systems
6:30 PM PDT
Online Meeting
Speaker: Markus Gardill
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Overview
Radar systems are a key technology of modern vehicle safety
& comfort systems. Without doubt it will only be the symbiosis of Radar,
Lidar and camera based sensor systems which can enable advanced autonomous
driving functions soon. This presentation will introduce the topic with a
review on the fundamentals of FMCW radar and then dive into the details of
fast chirp FMCW processing. Starting with the fundamentals of target range
and velocity estimation based on the radar data matrix, the spatial dimension
available using modern single input multiple output (SIMO) and multiple input
multiple output (MIMO) radar systems will be introduced and radar processing
based on the radar data cube is discussed. Of interest is the topic of
angular resolution one of the key drawbacks which e.g. render Lidar systems
superior to radar in some situations. Consequently, traditional and modern
methods for direction of arrival estimation in FMCW radar systems are
presented. The talk concludes with an outlook on future system aspects such
as application of neural networks or over the air de ramping.
About the Speaker
Markus Gardill is professor for Satellite
Communication Systems at the chair of computer science VII robotics and
telematics at the university of Würzburg. He received the Dipl. Ing. and Dr.
Ing. degree in systems of information and multimedia technology/electrical
engineering from the Friedrich Alexander University Erlangen Nürnberg ,
Germany, in 2010 and 2015, respectively, where he was a research assistant,
teaching fellow, and later head of the team for radio communication
technology. Between 2015 and 2020 he was R&D engineer and research
cluster owner for optical and imaging metrology systems at Robert Bosch GmbH.
Later he joined InnoSenT GmbH as head of the group radar signal processing
& tracking, developing together with his team new generations of
automotive radar sensors for advanced driver assistance systems and
autonomous driving. His main research interest include radar and
communication systems, antenna (array) design, and signal processing
algorithms. His particular interest is space time processing such as e.g.
beamforming and direction of arrival estimation, together with cognitive and
adaptive systems. He has a special focus on combining the domains of signal
processing and microwave/electromagnetics to develop new approaches on
antenna array implementation and array signal processing. His further
research activities include distributed coherent/non coherent networks for
advanced detection and perception, machine learning techniques for spatial
signal processing, highly flexible software defined radio/radar systems, and
communication systems for NewSpace. Markus Gardill is member of the IEEE
Microwave Theory and Techniques Society (IEEE MTT-S). He is a Distinguished
Microwave Lecturer (DML) for the DML term 2018 2020 with a presentation on
signal processing and system aspects of automotive radar systems.
Presented by: IEEE Buenaventura Section - Microwave
Theory and Techniques Society Chapter
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October 22, 2020
Artificial Intelligence Applications to Modernize Cancer Surveillance
6:00 PM PDT
Online Meeting
Speaker: Georgia Tourassi
Meetings are free and open to the public. Announcement:
www.ieee-bv.org/flyer/2020-10-emb
Overview
Pathology reports are a primary source of information for
cancer registries which process high volumes of free-text reports annually.
Information extraction and coding is a manual, labor-intensive process. In
this talk I will discuss the latest artificial intelligence technologies,
presenting both theoretical and practical perspectives that are relevant to
natural language processing of clinical pathology reports for computational
cancer phenotyping. Using different deep learning architectures, I will
present benchmark studies for various information extraction tasks and
discuss their importance in supporting a comprehensive and scalable national
cancer surveillance program.
About the Speaker
Dr. Georgia (Gina) Tourassi is the Director of the
National Center for Computational Sciences at the Oak Ridge National
Laboratory. Concurrently, she holds appointments as an adjunct Professor of
Radiology at Duke University and the University of Tennessee and as a joint
UT-ORNL Professor of the Bredesen Center Data Science Program at the
University of Tennessee at Knoxville. Her scholarly work includes 13 US
patents and innovation disclosures and more than 250 peer-reviewed journal
articles, conference proceedings articles, editorials, and book chapters. She
is elected Fellow of the American Institute of Medical and Biological
Engineering, the American Association of Medical Physicists, and the
International Society for Optics and Photonics. She is Senior member and
Distinguished Lecturer of the IEEE Engineering in Medicine and Biology
Society. Her research interests include artificial intelligence in
biomedicine, biomedical informatics, clinical decision support, digital epidemiology,
and data-driven biomedical discovery. Dr. Tourassi holds a B.S. degree in
Physics from Aristotle University of Thessaloniki, Greece and a Ph.D. in
Biomedical Engineering from Duke University.
Presented by: IEEE Southern Alberta Section – Engineering
in Medicine and Biology Society Chapter
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Webinar Series from IEEE
• IEEE
AESS Distinguished Lecturer Series — IEEE Aerospace &
Electronic Systems Society
This initiative allows AESS to continue providing members with the
respected and reputable Distinguished Lecturer program. Registration is
completely free and will be limited to the first 100 registrants per event.
In the case you are unable to register, you can also attend the webinar
concurrently via Facebook Live, or access the webinar recording following the
event on the IEEE AESS
Resource Center.
– October 1: Radar Adaptivity: Antenna Based Signal Processing
Techniques
– October 8: Radar, Phased-Arrays, Metamaterials (Invisible
Man), Stealth, Ultra-Wideband, Cognitive Adaptive Arrays, MIMO, 5G
– October 12: New Concepts in Maritime Detection
– October 22: Deep Learning Based RF Target Classification:
Recent Results and Technical Challenges
– October 28: Target Tracking and Data Fusion: How to Get the
Most Out of Your Sensors
• IEEE CS
Build Your Career Series — IEEE Computer Society
Focus on topics such as effective communication, tips for email writing,
personal brand management, career transition and interviewing skills and so
on.
– October 21: Writing Confident, Efficient Emails
• IEEE
CS Distinguished Lecturer Series — IEEE Computer Society
Features discussions on such topics as MBSE with & without
Simulation, Cyber-Physical Security, Unconventional Computer Arithmetic,
Quantum Internet, among some of the selected topics.
– October 9: The Rise of the Quantum Internet
– October 16 & 17: Conference: Hot Topics in Cybersecurity
• IEEE-USA
Webinars
IEEE-USA’s vision is to serve the U.S. IEEE member by being the technical
professional's best resource for achieving lifelong career vitality and by
providing an effective voice on policies that promote U.S. prosperity.
– October 3: The Life of a Consultant
IEEE Buenaventura Recognized for Membership Development
IEEE Buenaventura Section has been recognized for 2020
Outstanding Membership Development. “You are to be commended for continuing
to grow IEEE membership in the Buenaventura Section, especially during this
very difficult time in our world and our lives”, said Andrejs Romanovs, IEEE
Membership Recruitment and Recovery Chair. The membership development goals
were developed based on the section’s three year performance.
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