Bringing Scalable Millimeter-Wave Networks and Applications to the Masses

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Bringing Scalable Millimeter-Wave Networks and Applications to the Masses


Internet-of-Things (IoT) systems play an integral role in our daily lives, and we are currently witnessing an explosion of the IoT ecosystem, which includes not only smartphones but also smart, ubiquitous objects embedded with communication, computation, and sensing capabilities. Emerging IoT systems, such as autonomous vehicles, immersive virtual and augmented reality, tactile internet, holoportation, and smart, connected buildings, promise to automate human lives at unprecedented levels this decade. However, such systems rely on two critical foundations: (1) Next-generation wireless network architectures that can serve billions of devices; and (2) Ubiquitous sensing techniques that enable the objects to be "truly smart" by understanding and interpreting the ambient conditions and micro-activities with high precision.

My research team has been building these two foundations. We design, develop, and deploy experimental data-driven computational and deep learning models to extract intelligence from wireless signals, which, in turn, enable ubiquitous sensing modalities and high-resilience and high-performance networks. In this talk, I will go through some of the design and prototyping of our current works that use extremely high-frequency millimeter-wave wireless to enable wire-like connectivity and reliability, and applications in healthcare and beyond-visions.



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  • Date: 15 Mar 2022
  • Time: 07:00 PM to 08:30 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
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Virtual Meetiing Information will be forwarded to registered attendees.

  • Starts 07 March 2022 12:01 AM
  • Ends 15 March 2022 05:01 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
  • No Admission Charge


  Speakers

Professor Sanjib Sur Professor Sanjib Sur

Topic:

Bringing Scalable Millimeter-Wave Networks and Applications to the Masses

Internet-of-Things (IoT) systems play an integral role in our daily lives, and we are currently witnessing an explosion of the IoT ecosystem, which includes not only smartphones but also smart, ubiquitous objects embedded with communication, computation, and sensing capabilities. Emerging IoT systems, such as autonomous vehicles, immersive virtual and augmented reality, tactile internet, holoportation, and smart, connected buildings, promise to automate human lives at unprecedented levels this decade. However, such systems rely on two critical foundations: (1) Next-generation wireless network architectures that can serve billions of devices; and (2) Ubiquitous sensing techniques that enable the objects to be "truly smart" by understanding and interpreting the ambient conditions and micro-activities with high precision.

My research team has been building these two foundations. We design, develop, and deploy experimental data-driven computational and deep learning models to extract intelligence from wireless signals, which, in turn, enable ubiquitous sensing modalities and high-resilience and high-performance networks. In this talk, I will go through some of the design and prototyping of our current works that use extremely high-frequency millimeter-wave wireless to enable wire-like connectivity and reliability, and applications in healthcare and beyond-visions.

Biography:

Sanjib Sur is an Assistant Professor in the Department of Computer Science and Engineering at the University of South Carolina, Columbia. He received his Ph.D. from the University of Wisconsin - Madison. His research interest lies in wireless systems and ubiquitous computing, and his research work has been regularly published in top conferences in these areas, especially ACM MobiCom, MobiSys, SIGMETRICS, USENIX NSDI, and IEEE INFOCOM. He is the recipient of ACM HotMobile Best Poster and Best Poster Runner-Up Awards in 2021 and President of India Gold Medal in 2012. Sanjib holds 8 US Patents with 8 more pending. He served as the TPC co-chair for IEEE STEERS 2021-2020 and ACM mmNets 2020.