October
3, 2017
Ventura County Energize California Program
Pizza and Networking: 6:00 PM
Interactive Session: 6:30 PM
Facilitator: Kelly Ferguson
Free admission. Register at www.ieee-bv.org/meet/2017-10-ent
Abstract
LACI
– What We Do – We convene and engage the energy industry:
·
Serve as Southern California’s information hub for industry information,
connections, and news.
·
Curate, host, and promote industry events across the region.
·
Collaborate with partners to identify regional energy needs, pilot new
technologies, and funnel energy innovation into Southern California,
including underserved communities.
·
Stimulate and support entrepreneurship and economic development by
facilitating collaboration, investment, and networking.
About the
Speaker
Kelly Ferguson is the Director of Santa
Barbara and Ventura Counties Energize California Program, an initiative of
the Los Angeles Cleantech Incubator (LACI). She works to accelerate clean
energy development by convening and connecting the energy industry, and by
supporting energy entrepreneurs and startups access the business and
technical resources they need to bring new technology to market.
Prior
to LACI, Kelly worked with the Santa Ynez Band of Chumash Indians as their
Environmental Director where she engaged with diverse stakeholders and
jurisdictions to enhance the tribe’s capacity to protect its natural
resources. She was also an elected advocate for the 30-federally recognized
tribes in Southern California to the U.S. EPA to strengthen Tribal environmental
and public health programs and address regional resource needs.
A
native Santa Barbaran, Kelly received her Master’s in Environmental Science
and Management from UCSB’s Bren School and GPMP from the Technology
Management Program.
Location
Hub101
Cal Lutheran Center for Entrepreneurship
31416 Agoura Road
Westlake Village, CA 91361
(map)
Presented by: IEEE Buenaventura
Entrepreneurship Group
October
7, 2017
Girls Make Tech with Heart – IEEE Buenaventura Fall STEM Event
Use science, technology, engineering and math to care for the people you
love.
10:00 AM to 2:30 PM
Event is free of charge. Capacity limited to 120 girls and
120 parents. Lunch will be provided.
Registration required: www.ieee-bv.org/stem
Girls in middle school (typically age 10 to 14) will become scientists and engineers for a day. The
workshops will include experiments with imaging, virtual reality, sensors,
bioengineering, or robotics. – Full!
Parents can attend a concurrent program
with a mix of hands on experiences that can be duplicated at home and
discover the future that awaits their daughters in Science, Technology,
Engineering and Math (STEM).
Girls
can participate without parents attending. All girls will be under the
supervision of mentors.
This
event is organized by the IEEE Buenaventura Section, with the gracious
hospitality of La Reina High School and Middle School in Thousand Oaks.
Share ideas and build projects that
improve the lives of your family and friends.
Location
La Reina High School and Middle School
106 West Janss Road
Thousand Oaks, CA 91360
Flyer (PDF)
October
11, 2017
NASA Swarmathon: Taking Swarm Robotics To Mars
Pizza and Networking: 6:30 PM
Presentation: 7:00 PM
Speaker: Jason T. Isaacs
Free admission. Register at www.ieee-bv.org/meet/2017-10-cs
Abstract
The
next phase of the NASA Mars Exploration Program involves sending a spacecraft
to Mars and returning it safely to Earth. The first passengers on such a
mission will not be human astronauts but Mars rovers instead. The success of
this mission requires theses rovers to locate and retrieve local resources on
Mars. This process is referred to as In-situ resource utilization (ISRU).
Technologies are needed to allow a large group of autonomous rovers to find
and collect materials such as ice which can be converted into hydrogen fuel
to power the return journey. Toward this long term goal NASA through a
cooperative agreement between the NASA Minority University Research and
Education Program (MUREP) and the University of New Mexico in partnership
with the NASA KSC Swamp Works has developed a national competition called the
Swarmathon where teams of students develop foraging and collection algorithms
for a swarm of rovers. In this seminar I will discuss the CSU Channel Islands
participation in the NASA Swarmathon Competition and our approach to
addressing these challenging problems.
About the
Speaker
Dr. Jason T. Isaacs received the Ph.D.
degree in electrical and computer engineering from the University of
California, Santa Barbara, CA, USA, in 2012 under the supervision of
Professor Joăo Hespanha.
He
received a B.S. degree in electrical engineering from the University of
Kentucky in 1999. Upon graduation he spent the next six years working as a
motion control development engineer for Lexmark International Incorporated
focusing on the paper feeding systems of inkjet printers. He spent a summer
as a research intern in the Sensor Fusion group at the U.S. Army Research
Laboratory in Adelphi, MD, USA, in 2008. Upon completion of his Ph.D. in
March 2012, he continued at UCSB as a postdoctoral scholar where he led a
three year applied research project sponsored through the Institute for
Collaborative Biotechnologies.
Dr.
Isaacs is currently an assistant professor of Computer Science at California
State University, Channel Islands. His research interests include multiagent
control systems, UAV path planning, localization and mapping, and sensor
networks. His teaching interests include control systems, linear systems, and
robotics with a specific interest in introducing feedback control and mobile
robotics to early undergraduate and high school students to stimulate their
interest in these subjects.
Location
CLU – Gilbert Sports and Fitness Center, 2nd Floor, Room
253
California Lutheran University
130 Overton Court
Thousand Oaks, CA 91360
(map)
Parking: Free parking is available in the
lot east of the Gilbert building. Additional free parking is available in the
lot on the southwest corner of Olsen and Mountclef. Do not park in the
faculty/staff/reserved lots.
Presented by: IEEE Buenaventura
Computer Society Chapter
October
24, 2017
MIMO Radar: Fundamentals, Sparse Sensing and its Application in Autonomous
Driving (Part II)
Pizza and Networking: 6:30 PM
Presentation: 7:00 PM
Speaker: Shunqiao Sun
Free admission. Register at www.ieee-bv.org/meet/2017-10-edcas
Abstract
Radar not only has found widespread application in advanced driver assistance
systems (ADAS) but also is one of the key technologies to enable
environmental perception in autonomous driving. Compared with LiDAR and
camera, radar technology provides reliable measurements of range, velocity
and angle information of obstacles surrounding vehicle in all kinds of
weather conditions. Unlike the traditional phased-array radar system which
transmits via its antenna array a single waveform with different phase shift,
multiple-input multiple-output (MIMO) radar can transmit multiple waveforms
that may be chosen freely. As compared to traditional radar system with the
same number of transmit and receive antennas, MIMO radar achieves
significantly improved spatial resolution by exploiting waveform diversity.
Due to its advantages, MIMO radar technology has been widely used in designing
millimeter-wave radar sensors for ADAS and self-driving cars.
The
Part I talk will focus on the fundamentals of MIMO radar as well as novel
MIMO radar approaches with the emerging sparse sensing techniques. This talk
will cover the radar basics, MIMO radar architecture and waveform design,
sparse sensing methods in MIMO radar including compressive sensing (CS) based
MIMO radar as well as novel MIMO radar approach using matrix completion (MC).
The
Part II talk (October) will focus on the role of radar in autonomous driving
and various aspects of automotive radar signal processing techniques. This
talk will cover the radar system requirements and architecture for autonomous
driving, principles of frequency-modulated continuous-wave (FMCW) radar, high
resolution angle finding methods, “smart” radar sensors with machine
learning, as well as unique problems associated with automotive radars for
autonomous driving such as pedestrian detection.
About the Speaker
Dr. Shunqiao Sun received his
Ph.D. degree in Electrical and Computer Engineering from Rutgers, The State
University of New Jersey in Jan. 2016. He is currently with the radar core
team of Delphi Electronics & Safety, Agoura Hills, CA, where he is
working on advanced radar signal processing and machine learning algorithms
for self-driving cars. In the past, he held internships at Cisco Systems and
Mitsubishi Electric Research Labs (MERL). His research interests lie at the
interface of statistical and sparse signal processing with mathematical
optimizations, MIMO radar, machine learning, and smart sensing in complex
environments. Dr. Sun is winner of the 2016 IEEE Aerospace and Electronic
Systems Society Robert T. Hill Best Dissertation Award for his thesis “MIMO
Radars with Sparse Sensing”.
Location
Skyworks Solutions
649 Lawrence Drive
Newbury Park, CA 91320
(Not the main building; please use link to arrow that
pinpoints building)
Presented by: IEEE Buenaventura ED/CAS,
ComSoc, and AESS Chapters
Flyer (PDF)
October
26, 2017
Detector Electronics for NASA's Next Generation Space Telescopes JWST and
WFIRST
Pizza and Networking: 6:30 PM
Presentation: 7:00 PM
Speaker: Markus Loose
Free admission. Register at www.ieee-bv.org/meet/2017-10-ips
Abstract
To
continue the success story of the Hubble Space Telescope, NASA together with
international partners has been building the James Webb Space Telescope
(JWST), with a scheduled launch date of October 2018. More recently, NASA has
started the development of the Wide-Field Infrared Survey Telescope (WFIRST)
to specifically examine the phenomenon of dark energy. Both telescopes will
observe the universe in the infrared part of the electromagnetic spectrum,
utilizing specialized detector technology and instrumentation. The
presentation will provide an overview of the telescopes and the associated
science, followed by a discussion of the design challenges and customized
solutions to the problem of detecting the faint light of distant galaxies.
Low-temperature electronics including CMOS -based image sensor readouts and
low power ASICs have been instrumental in achieving the noise and sensitivity
performance requirements of the on-board cameras and spectrographs.
About the
Speaker
Dr. Markus Loose is President and Chief
Scientist at Markury Scientific, Inc. He received his Diploma degree in
Physics and his Ph.D. degree in
Applied Physics from University of Heidelberg, Germany. He has held
scientific and management positions at the Institute for High Energy Physics
in Heidelberg, Germany, and at Teledyne Imaging Sensors in Camarillo,
California. Dr. Loose has over 20 years of experience in the field of image
sensor technology for both scientific and commercial applications. He has developed
several new types of CMOS imaging sensors including high dynamic range
logarithmic camera chips and high definition video sensors. He has also
designed the HAWAII-2RG readout integrated circuit and the SIDECAR ASIC, both
key components for NASA’s James Webb Space Telescope, the Hubble Space
Telescope, and for many ground-based observatories. Most recently, Dr. Loose
has been working on developing a new control ASIC and improved detectors for
the WFIRST telescope.
Location
Hub101
Cal Lutheran Center for Entrepreneurship
31416 Agoura Road
Westlake Village, CA 91361
(map)
Presented by: IEEE Buenaventura
Photonics Society Chapter
Flyer (PDF)
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