Harinath Garudadri

 

 


 

Hari Garudadri recently moved from industry to academia to work on technologies that will (a) reduce the cost of healthcare delivery and (b) increase the reach of caregivers’ expertise to beyond hospital walls. Hari’s background is signal processing and he has practiced in diverse fields such as speech recognition, speech, audio and video compression, multimedia delivery in 3G/4G networks, low-power sensing and telemetry of physiological data, reliable body area networks (BAN), noise cancellation, and artifacts mitigation, among other areas. His contributions have been incorporated into cell phones and commercial networks. Hari has 40 granted patents (8 in BAN, 8 in audio, 6 in video, 4 in speech, 3 in biomedical signal processing, and 11 in voice recognition), and over 14 pending patents in biomedical signal processing and related areas. Prior to joining UCSD, Hari was at Qualcomm for 16 years in various roles, including multi-lingual speech recognition (English, Japanese, and Korean), speech and audio coding, and error resilient low power communications.

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Dec 12th 2016

Have you wondered how “Things” talk to each other and the cloud? Do you understand the alternatives for conveying latency-sensitive real time data versus reliable signaling data? Building on the skills from the Sensing and Actuation course, we will explore protocols to exchange information between processors. In this course, you will learn how VoIP systems like Skype work and implement your own app for voice calls and text messages.

Average: 7 (2 votes)
Nov 28th 2016

It is hard to imagine life without your Smartphone – you have come to rely on it so much – for your work; to stay in touch with family and friends; to capture and share those special moments; to find your way around in a new neighborhood. Did you ever wonder how and when all this happened? Or how and when GPS sensors came to be in your cell phone?

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Nov 28th 2016

Have you wondered how information from physical devices in the real world gets communicated to Smartphone processors? Do you want to make informed design decisions about sampling frequencies and bit-width requirements for various kinds of sensors? Do you want to gain expertise to affect the real world with actuators such as stepper motors, LEDs and generate notifications?

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Nov 28th 2016

Do you want to develop skills to prototype mobile-enabled products using state-of-the-art technologies? In this course you will build a hardware and software development environment to guide your journey through the Internet of Things specialization courses. We will use the DragonBoard™ 410c single board computer (SBC).

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Nov 21st 2016

Content is an eminent example of the features that contributed to the success of wireless Internet. Mobile platforms such as the Snapdragon™ processor have special hardware and software capabilities to make acquisition, processing and rendering of multimedia content efficient and cost-effective.

Average: 5.8 (4 votes)