Page 23 - ASME IDETCCIE 2017 Program

Keynote Sessions
• Servo-controlled levelling of large man-lifts (Access platforms).
• Closed-loop Frequency and Power regulation of multi-phase
water turbines.
• High speed gauge control systems for aluminum rolling.
• Numerous servo-actuations systems for F1 –and the development
of unconventional technology for power steering and fly by wire
braking.
Martin’s interest in Motorsport extends beyond work and he is also a keen
competitor in Historic Motorsport events in his Brabham BT21.
CIE KEYNOTE Monday, August 7
11:00am–12:00pm
Gahl Berkooz
Acorns Room 1
“Data, Analytics, and Internet of Things: The Perfect Storm and Some
Grand Challenges”
Abstract: “Data and Analytics” is a unique engineering business practice.
Unlike mechanical, aerospace, or electrical engineering the state of
practice in industry is ahead of the theoretical foundations provided by
academic research. This state of affairs is dictated by the tremendous
business opportunities afforded by the underlying technologies. I will
discuss the state of the art in Data and Analytics practice, and elucidate
some of its drivers and complexity factors. I will close by describing some
“Grand Challenges” – engineering problems that practitioners in industry
are attempting to solve, yet lack a rigorous framework to support their
solution.
Biography: Gahl Berkooz is the Chief Data and Analytics Officer for Acorns,
whose mission is to make Americans financially empowered by financial
literacy, saving, and investing. Prior to Acorns, he was Chief of Analytics for problems to her research, which has been published in Management
General Motors’ Global Connected Customer Experience Division. At GM
he was responsible for all Analytical Data Sets, Analytics, and Data Science
required to delight customers with the best customer experience in the
industry. Prior, he established the Information Management and Analytics
function at Ford Motor Company. He built the function to over 100
professionals, and delivered close to $2 Billion of savings and cost
avoidance in business operations. He holds a Ph.D. in Applied Mathematics
from Cornell University, a Six Sigma Black Belt, and is a graduate of
Harvard Business School’s General Management Program.
IDETC/CIE
DAC KEYNOTE
Monday, August 7
9:10am–10:50am
Room 1
“Data-Driven Engineering Design”
Abstract: Data has always been an integral part of the engineering design
process. We use this basic and unfiltered information to create knowledge,
which in turn informs our engineering design decisions. Yet, the
miniaturization of electronics, the Internet of Things, and social media
provides engineers with access to a plethora of data in forms, volumes,
and acquisition rates not previously encountered. To most effectively
make use of this data, the design engineering research community must
understand how to most effectively transition this data into actionable
design knowledge. This keynote session will include a panel of
distinguished speakers who will address a wide variety of opportunities
that include the acquisition and analysis of unstructured data from various
sources, handling large volumes of data that must be searched and
understood, and synthesizing data in a way that leads to better engineered
products. Speakers discussing the frontier of Data-Driven Engineering
Design will include Kemper Lewis (University at Buffalo), Eleanor Feit
(Drexel), Ritesh Khire (84.51°), and a set of lightning talks by early-career
members of the Design Automation Conference.
INVITED SPEAKERS
Elea McDonnell Feit
Drexel University
Biography: Elea McDonnell Feit is an Assistant Professor of Marketing at
Drexel University and a Senior Fellow of Marketing at The Wharton School
at the University of Pennsylvania. Her research focuses on leveraging
customer data to make better product design and advertising decisions,
particularly when data is incomplete, unmatched or aggregated. Much of
her career has focused on developing new quantitative methods and
bringing them into practice, first working in product design at General
Motors, then commercializing new methods at the marketing analytics
firm, The Modellers, and most recently as the Executive Director of the
Wharton Customer Analytics Initiative, where she built the academic-
industry partnership program. She brings a rich understanding of industry
Science and the Journal of Marketing Research. She enjoys making
analytics and statistics accessible to a broad audience and has recently
co-authored a book on R for Marketing Research and Analytics with
Chris Chapman. She regularly teaches popular tutorials and workshops
for practitioners on digital marketing, marketing experiments, marketing
analytics in R, discrete choice modeling and hierarchical Bayes methods
as well as undergraduate, MBA and MS Business Analytics classes at
Drexel and Wharton. She holds a PhD in Marketing from the University
of Michigan, an MS in Industrial Engineering from Lehigh University and
a BA in Mathematics from the University of Pennsylvania.
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