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Title: Revolutionizing Indoor Location Speaker: Roy Want
Senior Research Scientist at Google
Abstract: Accurate indoor location (within 1 meter) has been the goal of the research community and industry since the 1990's. The new IEEE 802.11az protocol, recently published by the IEEE Standards Association (March 2023), brings us closer to that realization. This talk first provides an overview of the technologies that were originally envisaged to solve the problem, and why they had limited success. Second, it covers the spectrum of newer technology including: UWB, Bluetooth Channel-Sounding, and WiFi-6. The final part will provide an overview of the 802.11az protocol standard designed for accuracy, scalability and security; and most importantly, why it stands the best chance of providing a ubiquitous solution for the future.
Biography: Dr. Roy Want received his doctorate from Cambridge University, England in 1988, and is currently a Senior Research Scientist at Google. Previous positions include Sr. Principal Engineer at Intel Corporation, and a Principal Scientist at Xerox PARC. He holds the grade of ACM and IEEE Fellow. His research interests include mobile and ubiquitous computing, context-aware applications, and electronic identification. He has more than 30 years' experience working in the field of mobile computing. He served as: Editor-in-chief for IEEE Pervasive Computing from 2006-2009, Chair of the ACM SIGMOBILE executive committee from 2009-12, and received the ACM SIGMOBILE Outstanding Contributions Award (OCA) in 2019. He has authored or co-authored more than 85 publications, with 100+ issued patents in this area. For more information about Dr. Want's academic and industrial achievements see: https://en.wikipedia.org/wiki/Roy_Want.
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Penetrative AI: Making LLMs Comprehend the Physical World
Huatao Xu (Nanyang Technological University), Liying Han (UCLA), Qirui Yang (The Hong Kong University of Science and Technology), Mo Li (The Hong Kong University of Science and Technology and Nanyang Technological University), Mani Srivastava (University of California, Los Angeles & Amazon AWS AI Labs)
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Creating Edge AI from Cloud-based LLMs
Qifei Dong (Carnegie Mellon University), Xiangliang Chen (Carnegie Mellon University), Mahadev Satyanarayanan (Carnegie Mellon University)
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Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing
Mohammad Malekzadeh (Nokia Bell Labs), Fahim Kawsar (Nokia Bell Labs)
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Mobile AR Depth Estimation: Challenges & Prospects
Ashkan Ganj (Worcester Polytechnic Institute), Yiqin Zhao (Worcester Polytechnic Institute), Hang Su (Nvidia Research), Tian Guo (Worcester Polytechnic Institute)
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KAP: Kinetic Augmented Pill Bottle for Vibration-Based Medication Interaction Recognition
Dong Yoon Lee (University of California Merced), Yihong Li (University of California Merced), Yue Zhang (University of California Merced), Hao-Chuan Wang (University of California Davis), Alyssa Mae Weakley (University of California Davis), Shijia Pan (University of California Merced)
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SSS: Towards Autonomous Drone Delivery to Your Door Over House-Aware Semantics
Shengqing Xia (Purdue University), Junpeng Guo (Purdue University), Chunyi Peng (Purdue University)
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Offloading Operating System Functions to the Cloud
Zhiyao Ma (Yale University), Samantha Detor (Yale University), Lin Zhong (Yale University)
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Towards Multi-Stakeholder Clouds
Bohdan Borysei (University of Toronto), Stefan Saroiu (Microsoft), Eyal de Lara (University of Toronto)
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GPU Acceleration for Mobile Networking Simluations
Christoph Wagner (TUM), Fabian Sauter (TUM), Teemu Kärkkäinen (Intel), Jörg Ott (TUM)
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Challenges and opportunities in onboarding smart-home devices
Chixiang Wang (Dartmouth College), Liam Cassidy (Dartmouth College), Weijia He (Dartmouth College), Timothy J. Pierson (Dartmouth College), David Kotz (Dartmouth College)
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Self-powered Reconfigurable Intelligent Surfaces
Zhijian Liang (The Chinese University of Hong Kong), Guoliang Xing (The Chinese University of Hong Kong)
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Can IoT Devices be Powered up by Future Indoor Wireless Networks?
Tianxiang Li (UCLA), Mohammad Hossein Mazaheri (UCLA), Kalaivani Kamalakannan (UCLA), Haofan Lu (UCLA), Omid Abari (UCLA)
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Crowdotic: A Privacy-Preserving Hospital Waiting Room Crowd Density Estimation with Non-speech Audio
Forsad Al Hossain (Manning College of Information & Computer Sciences, University of Massachusetts Amherst), M Tanjid Hasan Tonmoy (Halıcıoğlu Data Science Institute, University of California San Diego), Andrew A. Lover (School of Public Health and Health Sciences, University of Massachusetts Amherst), George A. Corey (University Health Services, University of Massachusetts Amherst), Mohammad Arif Ul Alam (Miner School of Computer & Information Sciences, University of Massachusetts Lowell), Tauhidur Rahman (Halıcıoğlu Data Science Institute, University of California San Diego)
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ImpacTile: Tile-level Localization for the Visually Impaired using Structural Uniqueness
Cherry Kim (Yonsei University), Seongjin Wang (Yonsei University), Dongjun Kim (Yonsei University), Shijia Pan (University of California Merced), Jun Han (KAIST)
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Title: Seeking Truth About Power Speaker: Noah Klugman
Co-founder and the CEO of nLine
Abstract: The first paper for the GridWatch project was published at HotMobile in 2014; today, the direct evolution of this project is measuring power grid quality in over 10 countries, supporting government regulators, national utilities, universities, and international aid organizations. This talk tells the story of the last 10 years and distills lessons learned that are specific to the HotMobile community. Our 2014 paper addressed a deceptively simple question: Can you detect power outages with smartphones? To answer this we had to build a cross-disciplinary team; we bumped into significant and unexpected technical challenges; and we ended up pushing the cutting edge in ways that we didn’t set out to address. The talk concludes with a direct argument that depth can come from pursuing the “simple” problems that seem like they should have already been solved—but haven’t been.
Biography: Dr. Noah Klugman is a co-founder and the CEO of nLine, a 16-person, non-venture-funded company dedicated to improving the performance of the world’s critical infrastructure. He has spoken about energy reliability to governments, academics, NGOs, and electric utilities around the world. He received his doctorate from the University of California, Berkeley in 2021, co-advised by Prabal Dutta and Eric Brewer, where his thesis focused on developing techniques for low-cost, high-resolution power-outage measurements that would work well anywhere in the world. For this work he received the 2019-2020 Sevin Rosen Funds Award for Innovation. His broader interests include hanging out with his 8-month-old daughter and making robotic puppets. For more information about Noah’s work, see: noahklugman.com and nline.io.
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Lin Zhong
Moderator
Yale UniversityMahadev Satyanarayanan
Carnegie Mellon UniversityMani Srivastava
UCLARoy Want
GoogleEyal de Lara
University of Toronto -
Life is Plastic? Detecting the Presence of Micro-Plastics in Food and Drink Containers
Ngoc Thi Nguyen (University of Helsinki), Agustin Zuniga (University of Helsinki), Marko Radeta (University of Madeira), Huber Flores (University of Tartu), Petteri Nurmi (University of Helsinki)
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OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring
Julia Romero (University of Colorado Boulder), Andrea Ferlini (Nokia Bell Labs), Dimitris Spathis (Nokia Bell Labs), Ting Dang (Nokia Bell Labs), Katayoun Farrahi (University of Southampton), Fahim Kawsar (Nokia Bell Labs), Alessandro Montanari (Nokia Bell Labs)
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Neuron-Aware Brain-to-Computer Communication for Wireless Intracortical BCI
Hongyao Liu (City University of Hong Kong), Junyi Wang (City University of Hong Kong), Xi Chen (City University of Hong Kong), Jun Huang (City University of Hong Kong)
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Demystifying Secondary Radio Access Failures in 5G
Yanbing Liu (Purdue University), Junpeng Guo (Purdue University), Chunyi Peng (Purdue University)
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BeamArmor: Seamless Anti-Jamming in 5G Cellular Networks with MIMO Null-steering
Frederik Jonathan Zumegen (ETH Zurich), Ish Kumar Jain (University of California San Diego), Dinesh Bharadia (University of California San Diego)
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The Case for Boosting Mobile Application QoE via Smart Band Switching in 5G/xG Networks
Ahmad Hassan (University of Southern California), Wei Ye (University of Minnesota - Twin Cities), Jason Carpenter (University of Minnesota - Twin Cities), Anlan Zhang (University of Southern California), Shuowei Jin (University of Michigan), Ruiyang Zhu (University of Michigan), Feng Qian (University of Southern California), Z. Morley Mao (University of Michigan and Google), Zhi-Li Zhang (University of Minnesota - Twin Cities)