Chief Technology Officer
ASI Consulting Group
Shin Taguchi is CTO for ASI Consulting Group LLC. He is a Master Black Belt in Six Sigma and Design for Six Sigma (DFSS) and was one of the world authorities in developing the DFSS program at ASI CG, an internationally recognized training and consulting organization, dedicated to improving the competitive position of industries. He is the son of Dr. Genichi Taguchi, developer of new engineering approaches for robust technology that have saved American industry hundreds of millions of dollars.
Over the last thirty years, Mr. Taguchi has trained more than 100,000 engineers around the world in quality engineering, product/process optimization, and robust design techniques, Mahalanobis-Taguchi System, known as Taguchi MethodsTM. Some of the many clients he has helped to make products and processes Robust include: Ford Motor Company, General Motors, Delphi Automotive Systems, DaimlerChrysler, ITT, Kodak, Lexmark, Goodyear Tire & Rubber, General Electric, Miller Brewing, The Budd Company, Westinghouse, NASA, Texas Instruments, Xerox, Hyundai Motor Company, TRW and many others. In 1996, Mr. Taguchi developed and started to teach a Taguchi Certification Course. Over 360 people have graduated to date from this ongoing 16-day master certification course.
Mr. Taguchi is a Fellow of the Royal Statistical Society in London, and is a member of the Institute of Industrial Engineering (IIE) and the American Society for Quality (ASQ); Mr. Taguchi is a member of the Quality Control Research Group of the Japanese Standards Association (JSA) and Quality Engineering Society of Japan. He is an editor of the Quality Engineering Forum Technical Journal and was awarded the Craig Award for the best technical paper presented at the annual conference of the ASQ. Mr. Taguchi has been featured in the media through a number of national and international forums, including Fortune Magazine and Actionline (a publication of AIAG). Mr. Taguchi co-authored “Robust Engineering” published by McGraw Hill in 1999. He has given presentations and workshops at numerous conferences, including ASQ, ASME, SME, SAE, and IIE. He is also a Master Black Belt for DFSS, Design for Six Sigma.
Mr. Taguchi holds a Bachelor of Science degree in Industrial Engineering and Statistics from the University of Michigan and trains and consults with many major corporations worldwide.Phillip Smith
Technology & Architecture
DTE Energy CompanyPrabha Sundaravadivel
Electrical Engineering Department
University of Texas at Tyler, Tyler, TX
The use of wearable sensors for monitoring our daily activities has become inevitable in today’s world. The increasing trend of using wearable sensors for monitoring various physiological signals has helped researchers to advance the research in the development and application of wearable computing systems. In addition to having an active lifestyle, the emotional well-being of a person is important in maintaining a healthier balanced life. The Internet of Things (IoT) helps in connecting the real-world devices to the cloud, which helps in advancing the computing capacity of each framework. In the healthcare industry, IoT-based frameworks, called Internet of Medical Things (IoMT), offers a promising solution for reducing healthcare costs and improve quality of life with minimal visit to doctors. Using IoMT, patients can monitor their health on a daily-basis and healthcare providers are able to start an early intervention if needed. The basic components of the IoMT frameworks are simple sensors which can collect and convert a user’s physiological signs into electrical signals that are sent wirelessly to a central device. One or more sensors are integrated in a framework to monitor specific physiological conditions based on the needs of the user. In 2018 there were about 3.7 million connected medical devices and per reports by Allied Market Research, the IoT healthcare market is expected to reach $136.8 Billion worldwide by 2021. The healthcare industry is estimated to contribute up to 30% of the world’s stored data. About 80 megabytes of imaging and electronic medical record (EMR) data are generated for each patient each year. The amount of healthcare data produced more than doubles each year and is expected to reach a trillion gigabytes soon, as per a report by Grand View Research, Inc. The healthcare industry is estimated to contribute up to 30% of the world’s stored data. About 80 megabytes of imaging and electronic medical record (EMR) data are generated for each patient each year. The amount of healthcare data produced more than doubles each year and is expected to reach a trillion gigabytes soon. This talk will focus on utilizing the frontiers of computing, that helps us design efficient application-specific IoMT architectures.
About the Speaker:
Dr. Prabha Sundaravadivel received her Ph.D. Degree in Computer Science and Engineering at the University of North Texas, Denton, Texas in 2018. Her research interests are focused on developing application-specific architectures for Smart healthcare and Smart Cities, Affective computing for healthcare, mixed-signal IC Design, VLSI Design, and Reconfigurable Systems for the Internet of Things. Before starting her Ph.D., at the Smart Electronic Systems Laboratory (SESL) in UNT, she earned her Bachelors of Technology (B. Tech) in Electronics and Communication from SRM University, Chennai, India, in 2011 and Masters of Technology (M.Tech) in VLSI design from VIT University, India, in 2015. Currently, she is employed as an Assistant Professor in the Department of Electrical Engineering at UT Tyler since Fall 2018. She manages a diverse group of Grad, Undergrad and High School student researchers as the Director of Intelligent Systems Laboratory (ISL) at UT Tyler. She has been involved in outreach activities in East Texas to broaden the participation in STEM. Recent efforts include delivering a talk titled, “Its all about Sensors” in the Tyler museum, for “STEM Like a Girl 2019” event. She has been an invited Speaker in the Grace Hopper Celebration for Women in Computing (GHC) 2019. She founded the student organization, “IoT Students Club”, to improve the implementation skills of Undergraduate students. She has been recognized as a “Faculty Scholar” in GHC 2019. She received, “Teaching & Learning Award 2019”, for introducing innovative teaching techniques in the Undergraduate Curriculum.