SensorComm CEO Dr. Kamil Agi discusses application of machine learning (ML) and artificial intelligence (AI) to new IoT-based climate change technologies
San Francisco, CA – 15 December 2021 – SensorComm Technologies, Inc. (the “Company”, “SensorComm” or “SCT”) with offices in New Mexico and California (USA), is pleased to announce the Company’s President & CEO, Kamil Agi, Ph.D., was invited to speak at the Forward Research & Innovation Summit 2021 in Puerto Rico (the “Summit”) on the application of machine learning (ML) and artificial intelligence (AI) to new IoT-based climate change technologies for the transportation and energy sectors.
New climate change technology was presented in Dr. Agi’s talk “Machine Learning (ML) and AI to Provide Actionable Intelligence for IoT Systems Addressing Climate Change” in which he discussed how big data analytics combined with the Internet-of-Things (IoT) has implications across all industries. Over 700 attendees participated in the December 10, 2021 Summit.
Part I of Dr. Agi’s talk presented a new IoT-based methane sensor system being developed in cojunction with the University of New Mexico (UNM). The output sensor electronics leverage ML/AI algorithms to identify/differentiate/quantify multiple sources of methane emission (anthropogenic vs. agricultural vs. wetland) using SensorComm’s smart IoT platform to significantly simplify the challenge of mitigation.
Part II of Dr. Agi’s talk demonstrated how pollution from the transportation sector is one of the largest contributors to the existential threat of climate change. Currently, individual polluters (i.e. vehicles driven) are not being identified. As a result, mitigation solutions (e.g. from car/truck manufacturers) intended to address lower emission regulations remain relatively ineffective. A smart IoT pollution monitoring system for vehicles developed by SensorComm (called Wi-NOx™) is helping to solve that problem. Installed at the tailpipe, Wi-NOx™ provides key stakeholders with real-time business intelligence by capturing the NOx footprint of individual vehicles (and drivers) to deliver fuel, greenhouse gas (GHG) and air quality diagnostics. The analytics on the time-series data from individual vehicles helps prioritize repairs, replacements, and/or transitions to renewable energy sources (e.g. electric) enabling governments, cities and transit authorities to accelerate planning and infrastructure changeover.
Dr. Agi concluded: “the opportunity to leverage machine learning (ML) and artificial intelligence (AI) algorithms is not only in how the data is collected (sensors), but also in how that data is converted to information, and then to actionable intelligence.”
About SensorComm Technologies: SensorComm is building a better, more sustainable world with smart IoT solutions for transportation, healthcare and energy. We provide Wi-NOx™ pollution monitoring systems for vehicles, Data-Centric Care™ for COVID-19 (EvexiaBand™) and emission sensing for natural gas infrastructure. Our systems provide information and intelligence leading to efficiencies that enable individuals to make smarter choices for themselves, and the world around them.
Video: Dr. Kamil Agi Speaks at Forward Research & Innovation Summit
Title: Machine Learning (ML) and AI to Provide Actionable Intelligence for IoT Systems Addressing Climate Change Conference: Forward Research & Innovation Summit | December 10, 2021 | Puerto Rico Author: Kamil Agi, Ph.D. | President & CEO | SensorComm Technologies, Inc.