Fri 10.28.22
12:00P EDT/9:00A PDT | 1 Hour 30 Minute Event
Fri 10.28.22
12:00P EDT/9:00A PDT
1 Hour 30 Minute Event
Fri 10.28.22
12:00P EDT/9:00A PDT | 1 Hour 30 Minute Event
Fri 10.28.22
12:00P EDT/9:00A PDT
1 Hour 30 Minute Event
ABSTRACT
The world’s roads see over 50 million injuries and 1.35 million fatalities every year. This talk will describe how mobile sensing, signal processing, machine learning, and behavioral science can improve road safety by making people better drivers. I’ll discuss several challenges in achieving this goal, as well as learnings from successful deployments in multiple countries. I will also talk about our journey from academic research to commercial practice, in going from the CarTel research project at MIT to Cambridge Mobile Telematics (CMT), the leading telematics and analytics provider in the world today.
ABOUT THE SPEAKER
Hari Balakrishnan is the Fujitsu Professor of Computer Science & AI at MIT. His research is in networked and mobile computing systems, with current interests in networking, sensing, and perception for sensor-equipped mobile devices connected to cloud or edge services. In 2010, based on the CarTel project, he co-founded Cambridge Mobile Telematics (CMT). CMT’s mission is to make the world’s roads and drivers safer. Using mobile sensing and IoT, signal processing, machine learning, and behavioral science, CMT’s platform measures driving behavior to improve driving behavior and reduce risk, provides crash alerts and roadside assistance, and creates a smooth connected claims process. Today, CMT is the world’s leading telematics and analytics provider, serving millions of users in 17 countries by partnering with insurers (including powering telematics programs at 21 of the top 25 US insurers), rideshares, automotive manufacturers, personal safety providers, and more.
Balakrishnan received his PhD in 1998 from the EECS Department at UC Berkeley, which named him a Distinguished Alumnus in 2021, and a BTech in Computer Science in 1993 from IIT Madras, which named him a Distinguished Alumnus in 2013. He was inducted into the US National Academy of Engineering (2015) and to the American Academy of Arts and Sciences (2017). His honors include the ACM SIGCOMM Award for lifetime contributions (2021), the IEEE Kobayashi Computers and Communications Award (2021), the Infosys Prize for Engineering and Computer Science (2020), and the ACM doctoral dissertation award for Computer Science (1998). He has received several best-paper awards including six test-of-time awards for papers with long-term impact. He has graduated 26 PhD students and 10 postdocs, who have made their mark in research and industry at leading universities and companies.
Location: Richards hall 300
ABSTRACT
The world’s roads see over 50 million injuries and 1.35 million fatalities every year. This talk will describe how mobile sensing, signal processing, machine learning, and behavioral science can improve road safety by making people better drivers. I’ll discuss several challenges in achieving this goal, as well as learnings from successful deployments in multiple countries. I will also talk about our journey from academic research to commercial practice, in going from the CarTel research project at MIT to Cambridge Mobile Telematics (CMT), the leading telematics and analytics provider in the world today.
ABOUT THE SPEAKER
Hari Balakrishnan is the Fujitsu Professor of Computer Science & AI at MIT. His research is in networked and mobile computing systems, with current interests in networking, sensing, and perception for sensor-equipped mobile devices connected to cloud or edge services. In 2010, based on the CarTel project, he co-founded Cambridge Mobile Telematics (CMT). CMT’s mission is to make the world’s roads and drivers safer. Using mobile sensing and IoT, signal processing, machine learning, and behavioral science, CMT’s platform measures driving behavior to improve driving behavior and reduce risk, provides crash alerts and roadside assistance, and creates a smooth connected claims process. Today, CMT is the world’s leading telematics and analytics provider, serving millions of users in 17 countries by partnering with insurers (including powering telematics programs at 21 of the top 25 US insurers), rideshares, automotive manufacturers, personal safety providers, and more.
Balakrishnan received his PhD in 1998 from the EECS Department at UC Berkeley, which named him a Distinguished Alumnus in 2021, and a BTech in Computer Science in 1993 from IIT Madras, which named him a Distinguished Alumnus in 2013. He was inducted into the US National Academy of Engineering (2015) and to the American Academy of Arts and Sciences (2017). His honors include the ACM SIGCOMM Award for lifetime contributions (2021), the IEEE Kobayashi Computers and Communications Award (2021), the Infosys Prize for Engineering and Computer Science (2020), and the ACM doctoral dissertation award for Computer Science (1998). He has received several best-paper awards including six test-of-time awards for papers with long-term impact. He has graduated 26 PhD students and 10 postdocs, who have made their mark in research and industry at leading universities and companies.
Location: Richards hall 300
ABSTRACT
The world’s roads see over 50 million injuries and 1.35 million fatalities every year. This talk will describe how mobile sensing, signal processing, machine learning, and behavioral science can improve road safety by making people better drivers. I’ll discuss several challenges in achieving this goal, as well as learnings from successful deployments in multiple countries. I will also talk about our journey from academic research to commercial practice, in going from the CarTel research project at MIT to Cambridge Mobile Telematics (CMT), the leading telematics and analytics provider in the world today.
ABOUT THE SPEAKER
Hari Balakrishnan is the Fujitsu Professor of Computer Science & AI at MIT. His research is in networked and mobile computing systems, with current interests in networking, sensing, and perception for sensor-equipped mobile devices connected to cloud or edge services. In 2010, based on the CarTel project, he co-founded Cambridge Mobile Telematics (CMT). CMT’s mission is to make the world’s roads and drivers safer. Using mobile sensing and IoT, signal processing, machine learning, and behavioral science, CMT’s platform measures driving behavior to improve driving behavior and reduce risk, provides crash alerts and roadside assistance, and creates a smooth connected claims process. Today, CMT is the world’s leading telematics and analytics provider, serving millions of users in 17 countries by partnering with insurers (including powering telematics programs at 21 of the top 25 US insurers), rideshares, automotive manufacturers, personal safety providers, and more.
Balakrishnan received his PhD in 1998 from the EECS Department at UC Berkeley, which named him a Distinguished Alumnus in 2021, and a BTech in Computer Science in 1993 from IIT Madras, which named him a Distinguished Alumnus in 2013. He was inducted into the US National Academy of Engineering (2015) and to the American Academy of Arts and Sciences (2017). His honors include the ACM SIGCOMM Award for lifetime contributions (2021), the IEEE Kobayashi Computers and Communications Award (2021), the Infosys Prize for Engineering and Computer Science (2020), and the ACM doctoral dissertation award for Computer Science (1998). He has received several best-paper awards including six test-of-time awards for papers with long-term impact. He has graduated 26 PhD students and 10 postdocs, who have made their mark in research and industry at leading universities and companies.
Location: Richards hall 300
ABSTRACT
The world’s roads see over 50 million injuries and 1.35 million fatalities every year. This talk will describe how mobile sensing, signal processing, machine learning, and behavioral science can improve road safety by making people better drivers. I’ll discuss several challenges in achieving this goal, as well as learnings from successful deployments in multiple countries. I will also talk about our journey from academic research to commercial practice, in going from the CarTel research project at MIT to Cambridge Mobile Telematics (CMT), the leading telematics and analytics provider in the world today.
ABOUT THE SPEAKER
Hari Balakrishnan is the Fujitsu Professor of Computer Science & AI at MIT. His research is in networked and mobile computing systems, with current interests in networking, sensing, and perception for sensor-equipped mobile devices connected to cloud or edge services. In 2010, based on the CarTel project, he co-founded Cambridge Mobile Telematics (CMT). CMT’s mission is to make the world’s roads and drivers safer. Using mobile sensing and IoT, signal processing, machine learning, and behavioral science, CMT’s platform measures driving behavior to improve driving behavior and reduce risk, provides crash alerts and roadside assistance, and creates a smooth connected claims process. Today, CMT is the world’s leading telematics and analytics provider, serving millions of users in 17 countries by partnering with insurers (including powering telematics programs at 21 of the top 25 US insurers), rideshares, automotive manufacturers, personal safety providers, and more.
Balakrishnan received his PhD in 1998 from the EECS Department at UC Berkeley, which named him a Distinguished Alumnus in 2021, and a BTech in Computer Science in 1993 from IIT Madras, which named him a Distinguished Alumnus in 2013. He was inducted into the US National Academy of Engineering (2015) and to the American Academy of Arts and Sciences (2017). His honors include the ACM SIGCOMM Award for lifetime contributions (2021), the IEEE Kobayashi Computers and Communications Award (2021), the Infosys Prize for Engineering and Computer Science (2020), and the ACM doctoral dissertation award for Computer Science (1998). He has received several best-paper awards including six test-of-time awards for papers with long-term impact. He has graduated 26 PhD students and 10 postdocs, who have made their mark in research and industry at leading universities and companies.
Location: Richards hall 300
