Best Paper

BackDoor: Making Microphones Hear Inaudible Sounds
Nirupam Roy, Haitham Hassanieh, Romit Roy Choudhury (University of Illinois at Urbana Champaign)

Advance Program Schedule at a Glance

Time Monday, June 19th Tuesday, June 20th Wednesday, June 21st Thursday, June 22nd Friday, June 23rd
0800 Workshops:
PhD Forum,
Women's Workshop
Breakfast, Registration Breakfast, Registration Breakfast, Registration Workshops:
Digital Biomakers,
Embedded and Mobile Deep Learning
0845 Opening Remarks
0900 Keynote
Pattie Maes
(MIT Media Lab)
SIGMOBILE Outstanding Contribution Award
Norman Abramson
(University of Hawaii)
Invited Talk
David Chu (Google)
0930 Session VII
1000 Coffee Break Coffee Break
1030 Session I Session IV
1050 Coffee Break
1130 SIGMOBILE Test of Time Presentation Awards Session VIII
1150 Invited Talk
Thyaga Nandagopal (NSF)
1230 Lunch Lunch Lunch
1330 Invited Talk
Matthai Philipose (Microsoft Research)
1345 Session V Invited Talk
Minkyong Kim (Samsung)
1400 Session II
1415 Session IX
1500 Coffee Break Coffee Break
1530 Invited Talk
David Erickson (Cornell)
Session VI Conference End
1600 Session III
1700 Banquet and tour of the Old Fort Niagara
1730 Welcome
Demo/Poster (with reception)

Program Outline

Mon., June 19
 08:00 – 09:00 Breakfast and registration
 09:00 – 10:30 Workshop sessions (PhD Forum, WPA, WearSys, Women’s Workshop)
 10:30 – 11:00 Coffee break
 11:00 – 12:00 Workshop sessions
 12:00 – 13:30 Lunch
 13:30 – 15:00 Workshop sessions
 15:00 – 15:30 Coffee break
 15:30 – 17:00 Workshop sessions
 17:30 – 20:00 Conference welcome reception
Tues., June 20
 08:00 – 08:45 Breakfast and registration
 08:45 – 09:00 Opening Remarks
 09:00 – 10:00 Keynote (Chair: Tanzeem Choudhury): "Augmenting the Human Experience", Pattie Maes (MIT Media Lab)
 10:00 – 10:30 coffee break
 10:30 – 11:50 Session I - Acoustic Sensing (Chair: Nic Lane)
 11:50 – 12:20 Invited Talk: NSF PAWR program: Advancing Wireless Systems Research”, Thyaga Nandagopal (NSF)
 12:20 – 13:30 Lunch
 13:30 – 14:00 Invited Talk: “AI as (Mobile) Systems: Challenges in the Abstraction, Execution and Application of Deep Networks”, Matthai Philipose, Microsoft Research
 14:00 – 15:00 Session 2 - Deep Learning on Mobiles (Chair: Matthai Philipose)
 15:00 – 15:30 Coffee Break
 15:30 – 16:00 Invited Talk: “NutriPhone and FeverPhone - Mobile enabled biomedical diagnostics”, David Erickson (Cornell)
 16:00 – 17:30 Session 3 - Light Sensing and Communications (Chair: Xia Zhou)
 17:30 – 19:30 Poster/demo session with a reception (drinks and hors d'oeuvres)
Wed., June 21
 08:00 – 09:00 Breakfast and registration
 09:00 – 10:00 SIGMOBILE Outstanding Contribution Award (Chair: Edward Knightly): “ALOHA to the Web”, Norman Abramson (University of Hawaii)
 10:00 – 10:30 Coffee Break
 10:30 – 11:30 Session 4 - Security and Privacy I (Chair: Kyle Jamieson)
 11:30 – 12:40 SIGMOBILE Test of Time Presentation Awards (Chair: Venkat Padmanabhan)
 12:40 – 13:40 Lunch
 13:40 – 15:00 Session 5 - RF Sensing (Chair: Lin Zhong)
 15:00 – 15:30 Coffee Break
 15:30 – 16:50 Session 6 - Offloading and Sharing (Chair: Robin Kravets)
 17:00 Banquet and tour of the Old Fort Niagara
Thurs., June 22
 08:00 – 09:00 Breakfast and registration
 09:00 – 9:30 Invited Talk: “The Virtual Reality of Mobile Computing” , David Chu, Google
 09:30 – 10:50 Session 7 - Wearables and CPS (Chair: Aruna Balasubramanian)
 10:50 – 11:20 Coffee Break
 11:20 – 12:40 Session 8 - Mobile Performance (Chair: Rajesh Krishna Balan)
 12:40 – 13:45 Lunch
 13:45 – 14:15 Invited Talk: "IoT, Smart Appliances and Smart Home: Ready for Prime Time?", Minkyong Kim (Samsung)
 14:15 – 15:35 Session 9 - Security and Privacy II (Chair: Ardalan Amiri Sani)
Fri., June 23
 08:00 – 09:00 Breakfast and registration
 09:00 – 10:30 Workshop sessions (DigitalBiomarker, DroNet, Mobile Deep Learning)
 10:30 – 11:00 Coffee break
 11:00 – 12:00 Workshop sessions
 12:00 – 13:30 Lunch
 13:30 – 15:00 Workshop sessions
 15:00 – 15:30 Coffee break
 15:30 – 17:00 Workshop sessions



Tuesday, June 20, 9:00 – 10:00

Chair: Tanzeem Choudhury (Cornell)

Pattie Maes (MIT Media Lab)

Title: Augmenting the Human Experience


We are turning into cyborgs. Kids in de developed world typically get their first smart phone around the age of 14 and soon after they become inseparable from their device. The device functions as an external brain with users relying on it to remember information and answer questions rather than using their internal problem solving and memorizing capabilities. Unfortunately the way in which we currently interact with our smart phones leaves a lot to wish for: the use of the device is typically distracting, the I/O bandwidth is very limited, and competing apps encourage multi-tasking and short attention span. In this talk I will argue that the only viable solution is for our future devices to become integrated with us and augment our entire experience, including the way we perceive, process and act on the world. I will illustrate this concept with example systems we have built at the MIT Media Lab that actively assist users with memory, learning and decision making tasks.


Pattie Maes is a professor in MIT's Program in Media Arts and Sciences and head of the Program in Media Arts and Sciences. She founded and directs the Media Lab's Fluid Interfaces research group. Her areas of expertise are human-computer interaction and artificial intelligence. She is particularly interested in the topic of human augmentation, or how systems can actively assist people with memory, learning, decision making, communication and physical skills.

Maes is the editor of three books, and is an editorial board member and reviewer for numerous professional journals and conferences. She has received many awards: Fast Company named her one of 50 most influential designers (2011); Newsweek picked her as one of the "100 Americans to watch for" in the year 2000; TIME Digital selected her as a member of the “Cyber Elite,” the top 50 technological pioneers of the high-tech world; the World Economic Forum honored her with the title "Global Leader for Tomorrow"; Ars Electronica awarded her the 1995 World Wide Web category prize; and in 2000 she was recognized with the "Lifetime Achievement Award" by the Massachusetts Interactive Media Council. She has also received an honorary doctorate from the Vrije Universiteit Brussel in Belgium, and her 2009 TED talk is among the most-watched TED talks ever.

In addition to her academic endeavors, Maes has been an active entrepreneur as co-founder of several venture-backed companies, including Firefly Networks (sold to Microsoft), Open Ratings (sold to Dun & Bradstreet) and more recently Tulip (privately held). She remains an advisor to, and investor in, several MIT spinoffs.

Prior to joining the Media Lab, Maes was a visiting professor and a research scientist at the MIT Artificial Intelligence Lab. She holds a bachelor's degree in computer science and a PhD in artificial intelligence from the Vrije Universiteit Brussel in Belgium.

Session I: Acoustic Sensing

Tuesday, June 20, 10:30 – 11:50
Session Chair: Nicholas Lane (University College London and Bell Labs)
BackDoor: Making Microphones Hear Inaudible Sounds
[video] [pdf]
Nirupam Roy, Haitham Hassanieh, Romit Roy Choudhury (University of Illinois at Urbana Champaign)
Strata: Fine-Grained Device-Free Tracking Using Acoustic Signals
[video] [pdf]
Sangki Yun (Hewlett Packard Labs), Yi-Chao Chen, Huihuang Zheng, Lili Qiu, Wenguang Mao (UT Austin)
SoundSifter: Mitigating Overhearing of Continuous Listening Devices
[video] [pdf]
Md Tamzeed Islam, Bashima Islam, Shahriar Nirjon (UNC Chapel Hill)
BatMapper: Acoustic Sensing Based Indoor Floor Plan Construction Using Smartphones
[video] [pdf]
Bing Zhou, Mohammed Elbadry (Stony Brook University), Ruipeng Gao (Beijing Jiaotong University), Fan Ye (Stony Brook University)

Invited Talk

Tuesday, June 20, 11:50 – 12:20

Thyaga Nandagopal (NSF)

Title: Spurring Systems Research into the Next Decade


Wireless systems are becoming an ubiquitous part of everyday life. Some of the most common systems have become commoditized, enabling higher-layer application-driven research while at the same time inhibiting lower-layer research. On the other hand, new frontiers of wireless communications are opening up in various spectrum bands hitherto not used for wireless data communications. This talk will cover the future of wireless systems-driven research and contributions to science & technology from the vantage point of the NSF.


Dr. Thyaga Nandagopal is a Program Director at the National Science Foundation in the Directorate of Computer & Information Science and Engineering (CISE), where he manages wireless networking and mobile computing research across multiple funding programs. At NSF, he is spearheading the NSF Advanced Wireless Initiative, a $400M effort announced in July 2016. He also serves as the co-chair of the Wireless Spectrum Research and Development Senior Steering Group (WSRD SSG), which co-ordinates spectrum-related research and development activities across the Federal government. He is an IEEE Fellow.

Invited Talk

Tuesday, June 20, 13:30 – 14:00

Matthai Philipose, Microsoft Research

Title: AI as (Mobile) Systems: Challenges in the Abstraction, Execution and Application of Deep Networks


In the next five years, the mobile phone will transform from the reactive internet-access device of today into a proactive personal assistant. A key challenge in this transformation is the quintessentially systems problem of executing Deep Neural Networks (DNNs) in a manner that is cheap, accurate and private end-to-end.

In this talk, I will develop a view of DNNs as a new kind of program. Using examples from my own work and that of others, I will sketch how some of the recent overwhelming flood of results around DNNs can be understood in terms of the development, compilation, code generation, runtime support, hardware acceleration and secure execution of these programs. My hope is that when DNNs are cast in these terms, (mobile) systems researchers will dive into their guts rather than treat them as application-level black boxes to be profiled and accommodated gingerly!

I will end with two challenge problems, one systems-oriented and the other applications-oriented.


Matthai Philipose is a researcher at Microsoft. He builds AI-based systems that work under resource constraints. For the past few years, he has focused on making neural-network based computer vision pipelines efficient, from a re-designed wearable camera pipeline to efficient designs for GPU-based computer vision clusters in the cloud. His awards include a test-of-time award at PLDI (programming languages) and best paper awards at ISWC (wearable computing) and Mobisys (mobile systems). He worked at Intel for a decade before moving to Microsoft. He has a BS from Cornell University and a PhD from the University of Washington, both in Computer Science.

Session II: Deep Learning on Mobiles

Tuesday, June 20, 14:00 – 15:00
Session Chair: Matthai Philipose (Microsoft Research)
MobileDeepPill: A Small-Footprint Mobile Deep Learning System for Recognizing Unconstrained Pill Images
[video] [pdf]
Xiao Zeng, Kai Cao, Mi Zhang (Michigan State University)
DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware
[video] [pdf]
Akhil Mathur (Nokia Bell Labs), Nicholas D. Lane (Nokia Bell Labs, University College London), Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, Fahim Kawsar (Nokia Bell Labs)
DeepMon: Building Mobile GPU Deep Learning Models for Continuous Vision Applications
[video] [pdf]
Huynh Nguyen Loc, Youngki Lee, Rajesh Krishna Balan (Singapore Management University)

Invited Talk

Tuesday, June 20, 15:30 – 16:00

David Erickson (Cornell)

Title: NutriPhone and FeverPhone - Mobile Enabled Biomedical Diagnostics


Smartphones and other mobile technologies will be transformative to the deployment of biomolecular diagnostics both domestically and worldwide. In this talk, I will review the existing commercial and technical roadblocks to the deployment molecular diagnostics to the consumer market and how they can be fundamentally altered by taking advantage of the now ubiquitous installed base of smartphones. I will discuss two technologies in this talk. The first is our NutriPhone technology which is designed to detect micronutrient and vitamin deficiencies both in both individuals and populations. The second is our FeverPhone system which is a diagnostic device aimed at differentially diagnosing the six most common causes of febrile illness. In addition to covering the basic engineering science advancements that led to the development of these technologies, I will also discuss our strategies for deployment and commercialization.


David Erickson is the Sibley College Professor in the Sibley School of Mechanical and Aerospace Engineering at Cornell University. His research focuses on: mobile and global health technology, microfluidics, photonics, and nanotechnology. Prior to joining the faculty, he was a postdoctoral scholar at the California Institute of Technology and he received his Ph.D. degree from the University of Toronto. Research in the Erickson lab is primarily funded through grants from the NSF, NIH, ARPA-E, ONR, DOE and DARPA. Prof. Erickson has helped to found numerous start-up companies commercializing: high-throughput particle analysis instrumentation, biomedical diagnostics, and mobile health technologies. In recent years, Dr. Erickson has received the DARPA-MTO Young Faculty Award, the NSF CAREER Award, the Department of Energy Early Career Award, among others. In 2011 he was awarded the Presidential Early Career Award for Scientist and Engineers (PECASE) by President Obama. For his efforts in co-founding the field of optofluidics, Erickson has been named a fellow of the Optical Society of America and the American Society of Mechanical Engineers.

Session III: Light Sensing and Communications

Tuesday, June 20, 16:00 – 17:20
Session Chair: Xia Zhou (Dartmouth College)
Enabling High-Precision Visible Light Localization in Today's Buildings
[video] [pdf]
Shilin Zhu, Xinyu Zhang (University of Wisconsin-Madison)
POLI: Long-Range Visible Light Communications Using Polarized Light Intensity Modulation
[video] [pdf]
Chung-Lin Chan, Hsin-Mu Tsai (National Taiwan University), Kate Ching-Ju Lin (National Chiao Tung University)
Card-stunt as a Service: Empowering a Massively Packed Crowd for Instant Collective Expressiveness
[video] [pdf]
Chungkuk Yoo (KAIST), Inseok Hwang (IBM Research), Seungwoo Kang (KOREATECH), Myungchul Kim (IBM), Seonghoon Kim, Daeyoung Won (KAIST), Yu Gu (IBM), Junehwa Song (KAIST)
CELLI: Indoor Positioning using Polarized Sweeping Light Beam
[video] [pdf]
Yu-Lin Wei, Chang-Jung Huang, Hsin-Mu Tsai (National Taiwan University), Kate Ching-Ju Lin (National Chiao Tung University)

Poster/Demo Session

Tuesday, June 20, 17:30 – 19:30

SIGMOBILE Outstanding Contribution Award: ALOHA to the Web

Wednesday, June 21, 9:00 – 10:00

Chair: Edward Knightly (Rice University)

Norman Abramson (The University of Hawaii)


Wireless access to the Internet today is provided predominantly by random access ALOHA channels connecting a wide variety of user devices. ALOHA channels were first analyzed, implemented and demonstrated in the ALOHA network at the University of Hawaii in June, 1971. In this talk we provide a history of the ALOHA Network from a technological point of view illustrated with photos of the original ALOHA equipment designed and built at UH in the early 1970's.

The architectural design choices made in the original ALOHA Network were influenced by the perceived traffic demands of ALOHA users. As ALOHA based random access channels were adopted by other types of networks (satellite, Ethernet, WiFi, mobile phone, cable) and other types of users, some of these design choices were reevaluated so that the architecture of networks utilizing ALOHA assumed several different forms. We use the history of the ALOHA Network to categorize these forms and to speculate on future choices of network architecture.


Norman Abramson is Professor Emeritus at the University of Hawaii. He has served as Professor of Electrical Engineering, Professor and Chair of Information Science and Director of the ALOHA Network at UH. He has also been a member of the faculty at Stanford, and a visiting member of the faculty at Berkeley, Harvard and MIT. Abramson is the recipient of various awards for his work on random access channels and the ALOHA Network, the first wireless data network. Among these awards are the Eduard Rhein Foundation Technology Award (Munich, 2000), the IEEE Alexander Graham Bell Medal (Philadelphia, 2007) and the NEC C&C Foundation Award (Tokyo, 2011). Abramson received an A.B. in physics from Harvard College in 1953, an M.A. in physics from UCLA in 1955, and a Ph.D. in Electrical Engineering from Stanford in 1958.

Session IV: Security and Privacy I

Wednesday, June 21, 10:30 – 11:30
Session Chair: Kyle Jamieson (Princeton University)
SchrodinText: Strong Protection of Sensitive Textual Content of Mobile Applications
[video] [pdf]
Ardalan Amiri Sani (UC Irvine)
Matthan: Drone Presence Detection by Identifying Physical Signatures in the Drone’s RF Communication
[video] [pdf]
Phuc Nguyen, Hoang Truong (University of Colorado, Denver), Mahesh Ravindranathan (University of Colorado, Boulder), Anh Nguyen (University of Colorado, Denver), Richard Han (University of Colorado, Boulder), Tam Vu (University of Colorado, Denver)
System Service Call-oriented Symbolic Execution of Android Framework with Applications to Vulnerability Discovery and Exploit Generation
[video] [pdf]
Lannan Luo (The Pennsylvania State University), Qiang Zeng (Temple University), Chen Cao, Kai Chen, Jian Liu, Limin Liu, Neng Gao (Chinese Academy of Sciences), Min Yang (Fudan University), Xinyu Xing, Peng Liu (The Pennsylvania State University)

SIGMOBILE Test of Time Presentation Awards

Wednesday, June 21, 11:30 – 12:40
Chair: Venkat Padmanabhan (Microsoft Research)
Performance Analysis of the IEEE 802.11 Distributed Coordination Function
Giuseppe Bianchi
The Cricket Location-Support System
Nissanka Priyantha, Anit Chakraborty, Hari Balakrishnan
Sensing Techniques for Mobile Interaction
Ken Hinckley, Jeff Pierce, Mike Sinclair, Eric Horvitz
Analysis of a Campus-wide Wireless Network
David Kotz and Kobby Essien
Energy-Efficient Computing for Wildlife Tracking: Design Tradeoffs and Early Experiences with ZebraNet
Philo Juang, Hidekazu Oki, Yong Wang, Margaret Martonosi, Li-Shiuan Peh, Daniel Rubenstein

Session V: RF Sensing

Wednesday, June 21, 13:40 – 15:00
Session Chair: Lin Zhong (Rice University)
Enabling Gesture-based Interactions with Objects
[video] [pdf]
Longfei Shangguan (Princeton University), Zimu Zhou (ETH Zurich), Kyle Jamieson (Princeton University)
Position and Orientation Agnostic Gesture Recognition Using WiFi
[video] [pdf]
Aditya Virmani, Muhammad Shahzad (North Carolina State University, USA)
Object Recognition and Navigation using a Single Networking Device
[video] [pdf]
Yanzi Zhu, Yuanshun Yao, Ben Y. Zhao, Haitao Zheng (UCSB)
BreathPrint: User Authentication based on Breathing Gestures
[video] [pdf]
Jagmohan Chauhan, Yining Hu, Suranga Seneviratne, Archan Misra, Aruna Seneviratne, Youngki Lee

Session VI: Offloading and Sharing

Wednesday, June 21, 15:30 – 16:50
Session Chair: Robin Kravets (UIUC)
Glimpse: A Programmable Early-Discard Camera Architecture for Continuous Mobile Vision
[video] [pdf]
Saman Naderiparizi (University of Washington), Pengyu Zhang (University of Massachusetts Amherst), Matthai Philipose, Bodhi Priyantha, Jie Liu (Microsoft Research), Deepak Ganesan (University of Massachusetts Amherst)
Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading
[video] [pdf]
Petko Georgiev (University of Cambridge), Nicholas D. Lane (University College London and Bell Labs), Cecilia Mascolo (University of Cambridge), David Chu (Google)
Enabling Cross-ISA Offloading for COTS Binaries
[video] [pdf]
Wenwen Wang, Pen-Chung Yew, Antonia Zhai, Stephen McCamant (University of Minnesota Twin Cities), Youfeng Wu, Jayaram Bobba (Intel)
Mobile Plus: Multi-device Mobile Platform for Cross-device Functionality Sharing
[video] [pdf]
Sangeun Oh, Hyuck Yoo, Dae R. Jeong, Duc Hoang Bui, Insik Shin (School of Computing, KAIST)

Invited Talk

Thursday, June 22, 9:00 – 9:30

David Chu (Google)

Title: The Virtual Reality of Mobile Computing


Virtual and augmented reality technologies are evolving. Mobile computing plays a central role. This talk will cover the latest developments in VR and AR at Google.


David Chu leads an R&D group on Virtual Reality at Google Seattle. David's research interests are in mobile computing, virtual reality, augmented reality, cyber-physical systems, sensors, ubiquitous computing and applied machine learning. The main theme of David's work is low-latency perception-aligned mobile systems. He received the Best Paper award in MobiSys 2015, the Best Paper nomination in MobiSys 2012, the Best Demo award in MobiSys 2014, and the Best Demo nomination in SenSys 2011. David's work has appeared in the media on several occasions, such as at: TechCrunch, PC Magazine, GameSpot, Ars Technia, Slashdot, The Verge, Engadget, Yahoo and Wired. At Microsoft, he contributed to Windows, Windows Phone, Xbox and HoloLens. He received a B.S. from the University of Virginia, and an M.S. and Ph.D. from UC Berkeley while an NSF Graduate Research Fellow. David is also an Adjunct Associate Professor at the University of Illinois, Urbana-Champaign. Papers, videos and more can be found at his homepage :

Session VII: Wearables and CPS

Thursday, June 22, 9:30 – 10:50
Session Chair: Aruna Balasubramanian (Stony Brook University)
Indoor Follow Me Drone
[video] [pdf]
Wenguang Mao, Zaiwei Zhang, Lili Qiu, Jian He, Yuchen Cui (UT Austin), Sangki Yun (HP Labs)
iBlink: Smart Glasses for Facial Paralysis Patients
[video] [pdf]
Sijie Xiong, Sujie Zhu, Yisheng Ji, Binyao Jiang, Xiaohua Tian (Shanghai Jiao Tong University), Xuesheng Zheng (Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine), Xinbing Wang (Shanghai Jiao Tong University)
BigRoad: Scaling Road Data Acquisition for Dependable Self-Driving
[video] [pdf]
Luyang Liu, Hongyu Li (WINLAB, Rutgers University), Jian Liu (Stevens Institute of Technology), Cagdas Karatas (WINLAB, Rutgers University), Yan Wang (Binghamton University), Marco Gruteser (WINLAB, Rutgers University), Yingying Chen (Stevens Institute of Technology), Richard Martin (WINLAB, Rutgers University)
Characterizing Smartwatch Usage in The Wild
[video] [pdf]
Xing Liu, Tianyu Chen, Feng Qian (Indiana University), Zhixiu Guo (Beijing Jiaotong University), Felix Xiaozhu Lin (Purdue University), Xiaofeng Wang (Indiana University), Kai Chen (Chinese Academy of Sciences)

Session VIII: Mobile Performance

Thursday, June 22, 11:20 – 12:40
Session Chair: Rajesh Krishna Balan (Singapore Management University)
Reptor: Enabling API Virtualization on Android for Platform Openness
[video] [pdf]
Taeyeon Ki, Alexander Simeonov, Bhavika Pravin Jain, Chang Min Park, Keshav Sharma, Karthik Dantu, Steven Y. Ko, Lukasz Ziarek (University at Buffalo, The State University of New York)
User-Interactive Charging of Mobile Devices
[video] [pdf]
Liang He, Yu-Chih Tung, Kang G. Shin (University of Michigan)
Accelerating Mobile Web Loading Using Cellular Link Information
[video] [pdf]
Xiufeng Xie, Xinyu Zhang, Shilin Zhu (University of Wisconsin-Madison)
Open Data Kit 2.0: A Services Based Application Framework for Disconnected Data Management
[video] [pdf]
Waylon Brunette, Sam Sudar, Mitch Sundt, Clarice Larson, Jeff Beorse, Richard Anderson (University of Washington)

Invited Talk

Thursday, June 22, 13:45 – 14:15

Minkyong Kim (Samsung)

Title: IoT, Smart Appliances and Smart Home: Ready for Prime Time?


The home appliances industry has been going through rapid changes in recent years. The ubiquitous and fast connectivity, advancement of cloud infrastructure, and deep learning approaches, enabling voice and vision, have paved the way for smart appliances. Apple announced their first iPhone in 2007, and Samsung announced their first Android-based smart phone, Galaxy in 2009. If the past decade were to be called the era of smart phones, this coming decade will be called the era of smart appliances and Internet of Things. In this talk, we will examine the current status of the industry, focusing on connectivity, cloud, and human interaction. Along the way, we will examine the key factors determining the applicability of research ideas to real products in scale.


Minkyong Kim leads a R&D Team in Digital Appliances Business of Samsung Electronics. Her areas include Cloud Computing, IoT and Artificial Intelligence with special focus on Voice and Vision. Based on these research areas, she leads design and development of smart appliances and services. Prior to joining Samsung, Dr. Kim worked as a research scientist at IBM T.J. Watson Research Center, NY. Numerous research projects that Dr. Kim led became IBM products, including Bluemix PaaS Cloud and IBM System S Stream Computing System. Dr. Kim received her B.S. and M.S. in Computer Science & Engineering from Seoul National University, and her Ph.D. in Computer Science & Engineering from the University of Michigan. She worked as a postdoctoral research fellow at Dartmouth College prior to joining IBM Research.

Session IX: Security and Privacy II

Thursday, June 22, 14:15 – 15:35
Session Chair: Ardalan Amiri Sani (UC Irvine)
Heimdall: A Privacy-Respecting Implicit Preference Collection Framework
[video] [pdf]
Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Xinheng Chen, Atul Prakash (University of Michigan)
Trust but Verify: Auditing Secure Internet of Things Devices
[video] [pdf]
Judson Wilson, Riad S. Wahby, Henry Corrigan-Gibbs, Dan Boneh, Philip Levis, Keith Winstein (Stanford University)
Techu: Open and Privacy-preserving Crowdsourced GPS for the Masses
[video] [pdf]
Ioannis Agadakos (Stevens Institute of Technology), Jason Polakis (University of Illinois at Chicago), Georgios Portokalidis (Stevens Institute of Technology)
TrustShadow: Secure Execution of Unmodified Applications with ARM TrustZone
[video] [pdf]
Le Guan, Peng Liu, Xinyu Xing, Xinyang Ge (The Pennsylvania State University), Shengzhi Zhang (Florida Institute of Technology), Meng Yu (The University of Texas at San Antonio), Trent Jaeger (The Pennsylvania State University)


Best Paper Nominee