55 citations · 158 across the 23 of their papers we have counts for
24 papers
Meter-Level Wi-Fi RTT Localization on a Production Enterprise WLAN
Enguang Fan, Binh Minh Tran, Klara Nahrstedt
Wi-Fi Fine Time Measurement (FTM) promises indoor localization by reusing access points (APs) already deployed for connectivity, but prior evaluations mostly use APs purpose-deploy…
Communication-Aware Multi-Agent Reinforcement Learning for Decentralized Cooperative UAV Deployment
Enguang Fan, Yifan Chen, Zihan Shan +3
Autonomous Unmanned Aerial Vehicle (UAV) swarms are increasingly used as rapidly deployable aerial relays and sensing platforms, yet practical deployments must operate under partia…
360TripleView: 360-Degree Video View Management System Driven by Convergence Value of Viewing Preferences
Qian Zhou, Michael Zink, Ramesh Sitaraman +1
360-degree video has become increasingly popular in content consumption. However, finding the viewing direction for important content within each frame poses a significant challeng…
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing
Klara Nahrstedt, Naresh Shanbhag, Vikram Adve +25
In 2021, the Coordinated Science Laboratory CSL, an Interdisciplinary Research Unit at the University of Illinois Urbana-Champaign, hosted the Future of Computing Symposium to cele…
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
Gaoang Wang, Yibing Zhan, Xinchao Wang +2
Anomaly detection aims at identifying deviant samples from the normal data distribution. Contrastive learning has provided a successful way to sample representation that enables ef…
ProvLet: A Provenance Management Service for Long Tail Microscopy Data
Hessam Moeini, Todd Nicholson, Klara Nahrstedt +1
Provenance management must be present to enhance the overall security and reliability of long-tail microscopy (LTM) data management systems. However, there are challenges in proven…
CrossRoI: Cross-camera Region of Interest Optimization for Efficient Real Time Video Analytics at Scale
Hongpeng Guo, Shuochao Yao, Zhe Yang +2
Video cameras are pervasively deployed in city scale for public good or community safety (i.e. traffic monitoring or suspected person tracking). However, analyzing large scale vide…
DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the Edge
Zhe Yang, Klara Nahrstedt, Hongpeng Guo +1
The ubiquity of smartphone cameras and IoT cameras, together with the recent boom of deep learning and deep neural networks, proliferate various computer vision driven mobile and I…
Robusta: Robust AutoML for Feature Selection via Reinforcement Learning
Xiaoyang Wang, Bo Li, Yibo Zhang +2
Several AutoML approaches have been proposed to automate the machine learning (ML) process, such as searching for the ML model architectures and hyper-parameters. However, these Au…
Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things
Kevin Fu, Tadayoshi Kohno, Daniel Lopresti +5
The Internet of Things (IoT) is already transforming industries, cities, and homes. The economic value of this transformation across all industries is estimated to be trillions of…
SiEVE: Semantically Encoded Video Analytics on Edge and Cloud
Tarek Elgamal, Shu Shi, Varun Gupta +2
Recent advances in computer vision and neural networks have made it possible for more surveillance videos to be automatically searched and analyzed by algorithms rather than humans…
Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves
Tarek Elgamal, Klara Nahrstedt
Recent advances in Deep Neural Networks (DNN) and Edge Computing have made it possible to automatically analyze streams of videos from home/security cameras over hierarchical clust…
Nanotechnology-inspired Information Processing Systems of the Future
Randy Bryant, Mark Hill, Tom Kazior +9
Nanoscale semiconductor technology has been a key enabler of the computing revolution. It has done so via advances in new materials and manufacturing processes that resulted in the…
Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps
Shih-Fu Chang, Alex Hauptmann, Louis-Philippe Morency +18
With the transformative technologies and the rapidly changing global R&D landscape, the multimedia and multimodal community is now faced with many new opportunities and uncertainti…
Costless: Optimizing Cost of Serverless Computing through Function Fusion and Placement
Tarek Elgamal, Atul Sandur, Klara Nahrstedt +1
Serverless computing has recently experienced significant adoption by several applications, especially Internet of Things (IoT) applications. In serverless computing, rather than d…
Advanced Cyberinfrastructure for Science, Engineering, and Public Policy
Vasant G. Honavar, Katherine Yelick, Klara Nahrstedt +5
Progress in many domains increasingly benefits from our ability to view the systems through a computational lens, i.e., using computational abstractions of the domains; and our abi…
Theseus: Incentivizing Truth Discovery in Mobile Crowd Sensing Systems
Haiming Jin, Lu Su, Klara Nahrstedt
The recent proliferation of human-carried mobile devices has given rise to mobile crowd sensing (MCS) systems that outsource sensory data collection to the public crowd. In order t…
A Rural Lens on a Research Agenda for Intelligent Infrastructure
Ellen Zegura, Beki Grinter, Elizabeth Belding +1
A National Agenda for Intelligent Infrastructure is not complete without explicit consideration of the needs of rural communities. While the American population has urbanized, the…
City-Scale Intelligent Systems and Platforms
Klara Nahrstedt, Christos G. Cassandras, Charlie Catlett
As of 2014, 54% of the earth's population resides in urban areas, and it is steadily increasing, expecting to reach 66% by 2050. Urban areas range from small cities with tens of th…
A National Research Agenda for Intelligent Infrastructure
Elizabeth Mynatt, Jennifer Clark, Greg Hager +8
Our infrastructure touches the day-to-day life of each of our fellow citizens, and its capabilities, integrity and sustainability are crucial to the overall competitiveness and pro…
Crowdsensing in Opportunistic Mobile Social Networks: A Context-aware and Human-centric Approach
Phuong Nguyen, Klara Nahrstedt
In recent years, there have been efforts to collect human contact traces during social events (e.g., conferences) using Bluetooth devices (e.g., mobile phones, iMotes). The results…
CENTURION: Incentivizing Multi-Requester Mobile Crowd Sensing
Haiming Jin, Lu Su, Klara Nahrstedt
The recent proliferation of increasingly capable mobile devices has given rise to mobile crowd sensing (MCS) systems that outsource the collection of sensory data to a crowd of par…
Systems Computing Challenges in the Internet of Things
Rajeev Alur, Emery Berger, Ann W. Drobnis +10
A recent McKinsey report estimates the economic impact of the Internet of Things (IoT) to be between 11 trillion dollars by 20251 . IoT has the potential to have a profoun…
Smart Communities Internet of Things
Klara Nahrstedt, Daniel Lopresti, Ben Zorn +4
Today's cities face many challenges due to population growth, aging population, pedestrian and vehicular traffic congestion, water usage increase, increased electricity demands, cr…