Sensors and Machine Learning virtual meeting (SensMACH 2021)

SensMACH 2021 Program – Collaborative with the TinyML Phoenix Chapter
Tuesday, November 9th, 2021 (8:30AM to 11:30 AM MST)
Session Chair: Steve Whalley

8:30 – 8:40 Opening Remarks A. Spanias and Steve Whalley, Lightsense
8:40 – 8:50 The Tiny ML Foundation and the Phoenix TinyML Chapter, Evgeni Gousev, Qualcomm
8:50 – 9:20 Arizona Heat and the MaRTy Project, Ariane Middel, ASU AME & SCAI
9:20 – 9:35 Spatial AI on the edge, Erik Kokalj, Luxonis
9:35 – 9:50 TinyML technologies and Neuromorphic Computing, Katina Michael ASU SFIS & SCAI
9:50 – 10:05 Arizona Heat and Tiny ML R&D Opportunities, Suren Jauasuriya ASU AME & ECEE
10:05 – 10:20 Far-Field Speech Recognition at MCU-based Edge Device, Jongming Lee, NXP
10:20 – 10:35 On-Device Joint Human-Machine Decision Assessment for Remotely Operated Vehicles, Theo Theoharides, KIOS Center, UCy
10:35 – 10:50 IoT use-cases enabled by embedded machine learning using ultra-low power motion sensors, Dan Sadler, NXP
10:50 – 11:05 Mike Stanley, Machine Learning applied to Spectroscopy for Rapid Detection of Pathogens, Lighsense
11:05 – Discussion
11:30 – Adjourn

Date

November 9, 2021

Location

Virtual

Contact us

Schedule

Timezone: PDT

Sensors and Machine Learning virtual meeting (SensMACH 2021)

Steve WHALLEY, CEO

Strategic World Ventures

SensMACH in collaboration with tinyML Foundation announcing Sensors and Machine Learning virtual meeting (SensMACH 2021) on November 9th, 2021.

Registration is free but required.
SENSMACH registration will provide access to the SensMach program. Zoom URL will be provided after the registration.

Call for Participation: Industry – University Hybrid Meeting Sensors and Machine Learning
Industry-University Event, November 9, 2021, 7:30 am -10:30am PDT
Industry, ASU & TinyML PresentationsVirtual Meeting
Includes Tiny Machine Learning (TinyMLTM) Seminars

This is the 5th year we are holding this industry-university meeting.
The Program includes speakers from Qualcomm, NXP, Lightsense, Luxonis, and ASU.
Industry/UniversityTalks: TinyML, Sensors, IoT, TinyML and Arizona Heat
SENSMACH registration will provide access to the SensMach program. Zoom URLwill be provided after the registration.

Event Co-sponsored by ASU SenSIP Center (an NSF I/UCRC Site)
Contact: sensip@asu.edu

Industry-University Workshop on Sensors & Machine Learning In collaboration with the tinyML Foundation.

 

Evgeni GOUSEV, Senior Director

Qualcomm Research, USA

SensMACH in collaboration with tinyML Foundation announcing Sensors and Machine Learning virtual meeting (SensMACH 2021) on November 9th, 2021.

Registration is free but required.
SENSMACH registration will provide access to the SensMach program. Zoom URL will be provided after the registration.

Call for Participation: Industry – University Hybrid Meeting Sensors and Machine Learning
Industry-University Event, November 9, 2021, 7:30 am -10:30am PDT
Industry, ASU & TinyML PresentationsVirtual Meeting
Includes Tiny Machine Learning (TinyMLTM) Seminars

This is the 5th year we are holding this industry-university meeting.
The Program includes speakers from Qualcomm, NXP, Lightsense, Luxonis, and ASU.
Industry/UniversityTalks: TinyML, Sensors, IoT, TinyML and Arizona Heat
SENSMACH registration will provide access to the SensMach program. Zoom URLwill be provided after the registration.

Event Co-sponsored by ASU SenSIP Center (an NSF I/UCRC Site)
Contact: sensip@asu.edu

Industry-University Workshop on Sensors & Machine Learning In collaboration with the tinyML Foundation.

 

Ariane MIDDEL, Assistant Professor

Arizona State University

SensMACH in collaboration with tinyML Foundation announcing Sensors and Machine Learning virtual meeting (SensMACH 2021) on November 9th, 2021.

Registration is free but required.
SENSMACH registration will provide access to the SensMach program. Zoom URL will be provided after the registration.

Call for Participation: Industry – University Hybrid Meeting Sensors and Machine Learning
Industry-University Event, November 9, 2021, 7:30 am -10:30am PDT
Industry, ASU & TinyML PresentationsVirtual Meeting
Includes Tiny Machine Learning (TinyMLTM) Seminars

This is the 5th year we are holding this industry-university meeting.
The Program includes speakers from Qualcomm, NXP, Lightsense, Luxonis, and ASU.
Industry/UniversityTalks: TinyML, Sensors, IoT, TinyML and Arizona Heat
SENSMACH registration will provide access to the SensMach program. Zoom URLwill be provided after the registration.

Event Co-sponsored by ASU SenSIP Center (an NSF I/UCRC Site)
Contact: sensip@asu.edu

Industry-University Workshop on Sensors & Machine Learning In collaboration with the tinyML Foundation.

 

Erik KOKALJ, Software developer

Luxonis

SensMACH in collaboration with tinyML Foundation announcing Sensors and Machine Learning virtual meeting (SensMACH 2021) on November 9th, 2021.

Registration is free but required.
SENSMACH registration will provide access to the SensMach program. Zoom URL will be provided after the registration.

Call for Participation: Industry – University Hybrid Meeting Sensors and Machine Learning
Industry-University Event, November 9, 2021, 7:30 am -10:30am PDT
Industry, ASU & TinyML PresentationsVirtual Meeting
Includes Tiny Machine Learning (TinyMLTM) Seminars

This is the 5th year we are holding this industry-university meeting.
The Program includes speakers from Qualcomm, NXP, Lightsense, Luxonis, and ASU.
Industry/UniversityTalks: TinyML, Sensors, IoT, TinyML and Arizona Heat
SENSMACH registration will provide access to the SensMach program. Zoom URLwill be provided after the registration.

Event Co-sponsored by ASU SenSIP Center (an NSF I/UCRC Site)
Contact: sensip@asu.edu

Industry-University Workshop on Sensors & Machine Learning In collaboration with the tinyML Foundation.

 

Katina MICHAEL, Professor

Arizona State University

SensMACH in collaboration with tinyML Foundation announcing Sensors and Machine Learning virtual meeting (SensMACH 2021) on November 9th, 2021.

Registration is free but required.
SENSMACH registration will provide access to the SensMach program. Zoom URL will be provided after the registration.

Call for Participation: Industry – University Hybrid Meeting Sensors and Machine Learning
Industry-University Event, November 9, 2021, 7:30 am -10:30am PDT
Industry, ASU & TinyML PresentationsVirtual Meeting
Includes Tiny Machine Learning (TinyMLTM) Seminars

This is the 5th year we are holding this industry-university meeting.
The Program includes speakers from Qualcomm, NXP, Lightsense, Luxonis, and ASU.
Industry/UniversityTalks: TinyML, Sensors, IoT, TinyML and Arizona Heat
SENSMACH registration will provide access to the SensMach program. Zoom URLwill be provided after the registration.

Event Co-sponsored by ASU SenSIP Center (an NSF I/UCRC Site)
Contact: sensip@asu.edu

Industry-University Workshop on Sensors & Machine Learning In collaboration with the tinyML Foundation.

 

Suren JAYASURIYA, Assistant Professor

Arizona State University

SensMACH in collaboration with tinyML Foundation announcing Sensors and Machine Learning virtual meeting (SensMACH 2021) on November 9th, 2021.

Registration is free but required.
SENSMACH registration will provide access to the SensMach program. Zoom URL will be provided after the registration.

Call for Participation: Industry – University Hybrid Meeting Sensors and Machine Learning
Industry-University Event, November 9, 2021, 7:30 am -10:30am PDT
Industry, ASU & TinyML PresentationsVirtual Meeting
Includes Tiny Machine Learning (TinyMLTM) Seminars

This is the 5th year we are holding this industry-university meeting.
The Program includes speakers from Qualcomm, NXP, Lightsense, Luxonis, and ASU.
Industry/UniversityTalks: TinyML, Sensors, IoT, TinyML and Arizona Heat
SENSMACH registration will provide access to the SensMach program. Zoom URLwill be provided after the registration.

Event Co-sponsored by ASU SenSIP Center (an NSF I/UCRC Site)
Contact: sensip@asu.edu

Industry-University Workshop on Sensors & Machine Learning In collaboration with the tinyML Foundation.

 

Jongmin LEE, IoT Solutions Architect

NXP Semiconductor

SensMACH in collaboration with tinyML Foundation announcing Sensors and Machine Learning virtual meeting (SensMACH 2021) on November 9th, 2021.

Registration is free but required.
SENSMACH registration will provide access to the SensMach program. Zoom URL will be provided after the registration.

Call for Participation: Industry – University Hybrid Meeting Sensors and Machine Learning
Industry-University Event, November 9, 2021, 7:30 am -10:30am PDT
Industry, ASU & TinyML PresentationsVirtual Meeting
Includes Tiny Machine Learning (TinyMLTM) Seminars

This is the 5th year we are holding this industry-university meeting.
The Program includes speakers from Qualcomm, NXP, Lightsense, Luxonis, and ASU.
Industry/UniversityTalks: TinyML, Sensors, IoT, TinyML and Arizona Heat
SENSMACH registration will provide access to the SensMach program. Zoom URLwill be provided after the registration.

Event Co-sponsored by ASU SenSIP Center (an NSF I/UCRC Site)
Contact: sensip@asu.edu

Industry-University Workshop on Sensors & Machine Learning In collaboration with the tinyML Foundation.

 

Theocharis THEOCHARIDES, Associate Professor

University of Cyprus

SensMACH in collaboration with tinyML Foundation announcing Sensors and Machine Learning virtual meeting (SensMACH 2021) on November 9th, 2021.

Registration is free but required.
SENSMACH registration will provide access to the SensMach program. Zoom URL will be provided after the registration.

Call for Participation: Industry – University Hybrid Meeting Sensors and Machine Learning
Industry-University Event, November 9, 2021, 7:30 am -10:30am PDT
Industry, ASU & TinyML PresentationsVirtual Meeting
Includes Tiny Machine Learning (TinyMLTM) Seminars

This is the 5th year we are holding this industry-university meeting.
The Program includes speakers from Qualcomm, NXP, Lightsense, Luxonis, and ASU.
Industry/UniversityTalks: TinyML, Sensors, IoT, TinyML and Arizona Heat
SENSMACH registration will provide access to the SensMach program. Zoom URLwill be provided after the registration.

Event Co-sponsored by ASU SenSIP Center (an NSF I/UCRC Site)
Contact: sensip@asu.edu

Industry-University Workshop on Sensors & Machine Learning In collaboration with the tinyML Foundation.

 

Dan SADLER, Technical Program Manager

NXP

SensMACH in collaboration with tinyML Foundation announcing Sensors and Machine Learning virtual meeting (SensMACH 2021) on November 9th, 2021.

Registration is free but required.
SENSMACH registration will provide access to the SensMach program. Zoom URL will be provided after the registration.

Call for Participation: Industry – University Hybrid Meeting Sensors and Machine Learning
Industry-University Event, November 9, 2021, 7:30 am -10:30am PDT
Industry, ASU & TinyML PresentationsVirtual Meeting
Includes Tiny Machine Learning (TinyMLTM) Seminars

This is the 5th year we are holding this industry-university meeting.
The Program includes speakers from Qualcomm, NXP, Lightsense, Luxonis, and ASU.
Industry/UniversityTalks: TinyML, Sensors, IoT, TinyML and Arizona Heat
SENSMACH registration will provide access to the SensMach program. Zoom URLwill be provided after the registration.

Event Co-sponsored by ASU SenSIP Center (an NSF I/UCRC Site)
Contact: sensip@asu.edu

Industry-University Workshop on Sensors & Machine Learning In collaboration with the tinyML Foundation.

 

Mike STANLEY, Systems Engineer

Self-Employed

SensMACH in collaboration with tinyML Foundation announcing Sensors and Machine Learning virtual meeting (SensMACH 2021) on November 9th, 2021.

Registration is free but required.
SENSMACH registration will provide access to the SensMach program. Zoom URL will be provided after the registration.

Call for Participation: Industry – University Hybrid Meeting Sensors and Machine Learning
Industry-University Event, November 9, 2021, 7:30 am -10:30am PDT
Industry, ASU & TinyML PresentationsVirtual Meeting
Includes Tiny Machine Learning (TinyMLTM) Seminars

This is the 5th year we are holding this industry-university meeting.
The Program includes speakers from Qualcomm, NXP, Lightsense, Luxonis, and ASU.
Industry/UniversityTalks: TinyML, Sensors, IoT, TinyML and Arizona Heat
SENSMACH registration will provide access to the SensMach program. Zoom URLwill be provided after the registration.

Event Co-sponsored by ASU SenSIP Center (an NSF I/UCRC Site)
Contact: sensip@asu.edu

Industry-University Workshop on Sensors & Machine Learning In collaboration with the tinyML Foundation.

 

Steve WHALLEY, CEO

Strategic World Ventures

Stephen Whalley has 30+ years of experience in the semiconductor, MEMS, and sensors industries in various design, applications, ecosystem creation, marketing, and strategy management roles. He has a strong strategy and business acumen, as well as the ability to drive complex cross-industry initiatives and collaborative industry ecosystem building.
Steve’s career includes more than 25 years with Intel Corporation in pan-European and US functions, where he directed multiple product and technology development programs. He has led and served on multiple industry association and advisory boards in the semiconductor, MEMS, and sensors arenas impacting numerous successful technology developments such as USB, PCI, and others.
Steve earned a Bachelor of Science Degree in Electrical Engineering, graduating with Honors from the University of Salford, England. He also received a Master’s Degree in International Management from the American Graduate School of International Management at Arizona State University (“Thunderbird”) in Phoenix, Arizona.
Steve’s most recent roles have been with Microtech Ventures as a managing director for mergers and acquisitions and as a strategic consultant to SEMI’s MEMS and Sensors Industry Group (MSIG). He is currently serving on the tinyML Foundation Board of Directors and advising a number of high-tech startups.

Evgeni GOUSEV, Senior Director

Qualcomm Research, USA

Dr. Evgeni Gousev is a Senior Director of Engineering in Qualcomm Research. He leads HW R&D org in the Silicon Valley Center and is also responsible for developing ultra low power embedded computing platform, including always on machine vision AI technology. He has been with Qualcomm Technologies, Inc. since 2005 after joining from IBM T.J. Watson Research Center where he drove projects in the field of advanced silicon technologies. Evgeni serves as the Chairman of the Board for tinyML Foundation. In 2020, Dr. Gousev was inducted into the “Hall of Fame” of SEMI MEMS and Sensors Industry Group.

From 1993 to 1998, Dr. Gousev held academic professorship appointments with Rutgers University and Hiroshima University (1997). Evgeni holds a M.S. degree in Applied Physics and a Ph.D. in Solid-State Physics. He has co-edited 24 books and published 163 papers and is an inventor on more than 60 issued and filed patents.

Ariane MIDDEL, Assistant Professor

Arizona State University

Ariane Middel is an Assistant Professor in the School of Arts, Media & Engineering and the School of Computing & Augmented Intelligence at Arizona State University. Her research interests lie in the interdisciplinary field of urban climate with focus on climate-sensitive urban infrastructure in the face of extreme heat and climatic uncertainty. She directs the SHaDE Lab, which explores the “hot” topic in three dimensions: heat as it can be sensed by instruments; heat as it is experienced by humans; and heat as it can be modelled using microclimate simulations. She is the recipient of an NSF CAREER award on “Human Thermal Exposure in Cities” and currently serves on the Executive Board of the International Association of Urban Climate (IAUC).

Erik KOKALJ, Software developer

Luxonis

Software developer at Luxonis. Eric is an open-source enthusiast who loves coding, helping other engineers, solving challenges, and anything related to technology and science.

Katina MICHAEL, Professor

Arizona State University

Katina Michael is a professor at Arizona State University, a Senior Global Futures Scientist in the Global Futures Laboratory and has a joint appointment in the School for the Future of Innovation in Society and School of Computing and Augmented Intelligence. She is the director of the Society Policy Engineering Collective (SPEC) and the Founding Editor-in-Chief of the IEEE Transactions on Technology and Society. Katina is a senior member of the IEEE and a Public Interest Technology advocate who studies the social implications of technology. In 2020 she received the ICTO Golden Medal for lifetime achievement award for exceptional contributions to research in information systems. www.katinamichael.com

Suren JAYASURIYA, Assistant Professor

Arizona State University

Suren Jayasuriya is an assistant professor jointly between the departments of Arts, Media and Engineering (AME) and Electrical, Computer, and Energy Engineering (ECEE). Before, he was a postdoctoral fellow at the Robotics Institute at Carnegie Mellon University. He received his doctorate in 2017 from the ECE Department at Cornell University, and a bachelor’s in mathematics and in philosophy from the University of Pittsburgh in 2012. His research focuses on designing new types of computational cameras, systems, and visual computing algorithms that can extract and understand more information from the world around us.

Jongmin LEE, IoT Solutions Architect

NXP Semiconductor

Jongmin Lee is an IoT Solutions Architect in Edge Processing organization of NXP Semiconductor since 2016. His focus in current role is to develop state-of-the-art speech recognition solution for edge devices. He received his Ph.D. degree in Electrical Engineering from Arizona State University, Tempe, in 2017. He was a graduate research associate at the Sensor, Signal, and Information Processing (SenSIP) center at Arizona State University. His interests include signal processing and machine learning.

 

Theocharis THEOCHARIDES, Associate Professor

University of Cyprus

Theocharis (Theo) Theocharides is an Associate Professor in the Department of Electrical and Computer Engineering and the Research Director at the KIOS Research and Innovation Center of Excellence at the University of Cyprus. Theocharis received his Ph.D. in Computer Engineering from Penn State University, working in the areas of low-power computer architectures and reliable system design with emphasis on computer vision and computational intelligence applications. Theocharis was honored with the Robert M. Owens Memorial Scholarship in May 2005. He has been with the Electrical and Computer Engineering department at the University of Cyprus since 2006, where he directs the Embedded and Application-Specific Systems-on-Chip Laboratory and with the KIOS CoE since its inception in 2008. His research focuses on the design, development, implementation and deployment of low-power and reliable on-chip application-specific architectures, low-power VLSI design, real-time embedded systems design and exploration of energy-reliability trade-offs for Systems on Chip and Embedded Systems. His focus lies on acceleration of computer vision and artificial intelligence algorithms in hardware, geared towards edge computing, and in designing self-aware, evolvable edge computing systems. He serves on several organizing and technical program committees of various conferences and is currently serving as the Application Track Chair for DATE. Theocharis is a Senior Member of the IEEE, a member of the ACM, and an Associate Editor for IEEE Consumer Electronics magazine, ACM Transactions on Embedded Computing Systems, and the ETRI journal. He also serves on the Editorial Boards of IEEE Design & Test magazine.

Dan SADLER, Technical Program Manager

NXP

Dan Sadler received his PhD in Electrical Engineering from the University of Cincinnati in 2000 with a specialization in MEMS sensors and actuators. Dan began his career with Motorola Corporate Labs and spent approximately 10 years developing new products and technologies focusing on sensor implementation in cellphones, handheld radios, and accessory devices. Dan joined NXP / Freescale in 2010 and currently serves as a Product Line Manager for MEMS-based Motion Sensors. Dan supports and develops the sensor product line that serves the automotive security & convenience and Industrial / Medical markets.

Mike STANLEY, Systems Engineer

Self-Employed

Mike Stanley spent almost four decades in the semiconductor field at Motorola, Freescale and NXP in areas ranging from circuit design to machine learning. He is author/co-author of 8 patents, numerous publications, and is a contributor to Measurement, Instrumentation and Sensors Handbook, 2nd edition. Mike was inducted into the MEMS & Sensor Industry Group Hall of Fame in 2015 and is a Senior Member of the IEEE and IEEE Standard 2700-2014 contributor. He co-authored “Sensor Analysis for the Internet of Things”, published in 2018 by Morgan & Claypool Publishers. Mike continues his association with the Sensor, Signal & Information Processing Center (SenSIP) at A.S.U. and is one of the organizers for the Phoenix Chapter of the TinyML organization.

Schedule subject to change without notice.