| Time | IoTDI Day 1 (May 10) | IoTDI Day 2 (May 11) | IoTDI Day 3 (May 12) |
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| 08:00 - 08:45 AM | Breakfast/American | Breakfast/Continental | Breakfast/American |
| 08:45 - 09:00 AM | Opening Remarks | Announcements | Announcements |
| 09:00 - 10:00 AM | Keynote 1 | Keynote 2 | Keynote 3 |
| 10:00 - 10:30 AM | Coffee Break | Coffee Break | Coffee Break |
| 10:30 - 12:00 Noon | Session 1: Wearables | Session 3: Smart City and Infrastructure | Session 6: Privacy |
| 12:00 - 01:30 PM | Lunch (Rudy's) | Lunch | Lunch (Box) |
| 01:30 - 03:00 PM | Session 2: Human Sensing | Session 4: Sensing Location and Space | Session 7: Platforms and Networks |
| NSF PAWR – ARA Platform | |||
| 03:00 - 03:30 PM | Coffee Break | Coffee Break | Coffee Break |
| 03:30 - 05:30 PM | Poster/Demo Session | Session 5: Federated and Cloud-Assisted AI | Session 8: Robustness and Security |
| 06:00 PM Onwards | Banquet (Offsite) |
IoTDI Day 1 - Wednesday, May 10th 2023 |
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Session 1: Wearables Chair: Zhenyu Yan (The Chinese University of Hong Kong) 10:30 AM - 12 Noon |
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In-Ear-Voice: Towards Milli-Watt Audio Enhancement with Bone-Conduction Microphones for In-Ear Sensing Platforms.
Philipp Schilk (ETH), Niccolò Polvani (EPFL), Andrea Ronco (ETH), Milos Cernak (Logitech Europe), Michele Magno (ETH) |
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FaceTouch: Practical Face Touch Detection with a Multimodal Wearable System for Epidemiological Surveillance.
Li Liu, Zhichao Cao, and Tianxing Li (Michigan State University) |
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One Ring to Rule Them All: An Open Source Smartring Platform for Finger Motion Analytics and Healthcare Applications.
Hao Zhou, Taiting Lu, Yilin Liu, Shijia Zhang, Runze Liu, and Mahanth Gowda (Pennsylvania State University) |
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Detecting Mental Disorders with Wearables: A Large Cohort Study.
Ruixuan Dai, Thomas Kannampallil, Seunghwan Kim, Vera Thornton, Laura Bierut, and Chenyang Lu (Washington University in St. Louis) |
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Session 2: Human Sensing
Chair: Sarah Masud Preum (Dartmouth College) 1:30 PM - 2:30 PM |
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E3Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimation.
Letian Zhang and Jie Xu (University of Miami) |
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VALERIAN: Invariant Feature Learning for IMU Sensor-based Human Activity Recognition in the Wild.
Yujiao Hao (McMaster University); Boyu Wang (Western University); Rong Zheng (McMaster University) |
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Acuity: Creating Realistic Digital Twins Through Multi-resolution Pointcloud Processing and Audiovisual Sensor Fusion.
Jason Wu, Ziqi Wang, Ankur Sarker, and Mani Srivastava (University of California Los Angeles) |
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Special Session: NSF PAWR – ARA Platform
2:30 PM - 3:00 PM |
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Wireless Living Lab for Smart and Connected Rural Community
Speaker: TBD https://arawireless.org/ |
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Poster and Demo Session
3:30 PM - 5:30 PM |
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IoTDI Day 2 - Thursday, May 11th 2023 |
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Session 3: Smart City and Infrastructure
Chair: VP Nguyen (University of Texas at Arlington) 10:30 AM - 12:00 PM |
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Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting.
Arian Prabowo and Wei Shao (RMIT); Hao Xue (UNSW); Piotr Koniusz (CSIRO); Flora D. Salim (UNSW) |
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Fairguard: Harness Logic-based Fairness Rules in Smart Cities.
Yiqi Zhao, Ziyan An, Xuqing Gao, Ayan Mukhopadhyay, and Meiyi Ma (Vanderbilt University) |
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SolarDetector: Automatic Solar PV Array Identification using Big Satellite Imagery Data.
Qi Li, Sander Schott, and Dong Chen (Colorado School of Mines) |
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LightEQ: On-Device Seismic Event Detection with Embedded Machine Learning.
Tayyaba Zainab (GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany and Kiel University, Germany); Olaf Landsiedel (Kiel University, Germany and Chalmers University of Technology, Sweden); Jens Karstens (GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany) |
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Session 4: Sensing Location and Space Chair: Shuochao Yao (George Mason University) 1:30 PM - 3:00 PM |
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Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras.
Sandeep Singh Sandha (University of California, Los Angeles); Bharathan Balaji (Amazon); Luis Garcia (University of Southern California, Information Sciences Institute); Mani Srivastava (University of California, Los Angeles) |
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LILOC: Enabling Precise 3D Localization in Dynamic Indoor Environments using LIDARs.
Darshana Rathnayake and Meeralakshmi Radhakrishnan (Singapore Management University); Inseok Hwang (POSTECH); Archan Misra (Singapore Management University) |
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AI-based Simultaneous Audio Localization and Communication For Robots.
Amjad Yousef Mjaid (The Delft University of Technology); Venkatesha Prasad (TUDelft); Mees Jonker, Casper van der Horst, Lucan de Groot, and Sujay Narayana (TU Delft) |
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Amalgamated Intermittent Computing Systems.
Bashima Islam (Worcester Polytechnic Institute); Yubo Luo (University of North Carolina at Chapel Hill); Shahriar Nirjon (UNC Chapel Hill) |
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Session 5: Federated and Cloud-Assisted AI
Chair: Pengfei Zhou (University of Pittsburgh) 3:30 PM - 5:30 PM |
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FedRule: Federated Rule Recommendation System with Graph Neural Networks.
Yuhang Yao (Carnegie Mellon University); Mohammad Mahdi Kamani, Zhongwei Cheng, and Lin Chen (Wyze Labs); Carlee Joe-Wong (Carnegie Mellon University); Tianqiang Liu (Wyze Labs) |
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Dělen: Enabling Flexible and Adaptive Model-serving for Multi-tenant Edge AI.
Qianlin Liang, Walid A. Hanafy, and Noman Bashir (University of Massachusetts Amherst); Ahmed Ali-Eldin (Chalmers University of Technology and UMass Amherst); David Irwin and Prashant Shenoy (University of Massachusetts Amherst) |
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Streaming Video Analytics On The Edge With Asynchronous Cloud Support.
Anurag Ghosh (Carnegie Mellon University); Srinivasan Iyengar (Microsoft); Stephen Lee (University of Pittsburgh); Anuj Rathore (Clutterbot); Venkat N Padmanabhan (Microsoft Research India) |
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Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks.
Xiaofan Yu (University of California, San Diego); Lucy Cherkasova (ARM Research); Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, and Tajana Rosing (University of California, San Diego) |
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MOHAWK: Mobility and Heterogeneity-Aware Dynamic Community Selection for Hierarchical Federated Learning.
Allen-Jasmin Farcas (The University of Texas at Austin); Myungjin Lee, Ramana Rao Kompella, and Hugo Latapie (Cisco Systems); Gustavo de Veciana and Radu Marculescu (The University of Texas at Austin) |
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IoTDI Day 3 - Friday, May 12th 2023 |
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Session 6: Privacy
Chair: Nader Sehatbakhsh (UCLA) 10:30 AM - 12:00 PM |
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adaParl : Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems.
Mojtaba Taherisadr, Stelios Andrew Stavroulakis, and Salma Elmalaki (University of California Irvine). |
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Practical Crowdsourcing of Wearable IoT Data with Local Differential Privacy.
Thomas Marchioro, Andrei Kazlouski, and Evangelos P. Markatos (FORTH) |
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MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning.
Md Adnan Arefeen (University of Missouri-Kansas City); Zhouyu Li (North Carolina State University); Md Yusuf Sarwar Uddin (University of Missouri-Kansas City); Anupam Das (North Carolina State University) |
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A Blockchain-Based Privacy-Preserving Model for Consent and Transparency in Human-Centered Internet of Things.
Jorge Eduardo Rivadeneira (University of Coimbra); Maria B. Jiménez (Universidad Politécnica de Madrid); Radu Marculescu (The University of Texas at Austin); André Rodrigues (University of Coimbra); Fernando Boavida (University of Coimbra); Jorge Sá Silva (University of Coimbra). |
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Session 7: IoT Platforms and Networks
Chair: Philip Lundrigan (Brigham Young University) 1:30 PM - 3:00 PM |
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Handling Coexistence of LoRa with Other Networks through Embedded Reinforcement Learning.
Sezana Fahmida (Wayne State University); Venkata Prashant Modekurthy (University of Nevada, Las Vegas); Mahbubur Rahman (Queens College, City University of New York); Abusayeed Saifullah (Wayne State University) |
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Boosting Reliability and Energy-Efficiency in Indoor LoRa.
Mahbubur Rahman (City University of New York); Abusayeed Saifullah (Wayne State University) |
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LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications
Minghui Zhao, Stephen Xia, Jingping Nie, Kaiyuan Hou, Avik Dhupar, and Xiaofan Jiang (Columbia University) |
QuIC-IoT: Model-Driven Short-Term IoT Deployment for Monitoring Physical Phenomena.
Tung-Chun Chang and Tirtha Banerjee (University of California, Irvine); Nalini Venkatasubramanian (UC Irvine); Rob York (University of California, Berkeley) |
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Session 8: Robustness and Security Chair: Bashima Islam (Worcester Polytechnic Institute) 3:30 PM - 5:30 PM |
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IoT System Vulnerability Analysis and Network Hardening with Shortest Attack Trace in a Weighted Attack Graph.
Yinxin Wan, Xuanli Lin, Abdulhakim Sabur, Alena Chang, Kuai Xu, and Guoliang Xue (Arizona State University) |
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Incremental Anomaly Detection with Guarantee in the Internet of Medical Things.
Xiayan Ji, Hyonyoung Choi, Oleg Sokolsky, and Insup Lee (University of Pennsylvania) |
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Practical Cryptographic Forensic Tools for Lightweight Internet of Things and Cold Storage Systems.
Saif E. Nouma and Attila A. Yavuz (University of South Florida) |
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LOIS: Low-cost Packet Header Protection for IoT Devices.
Minmei Wang (University of Connecticut); Shouqian Shi (University of California Santa Cruz); xiaoxue zhang (ucsc); Song Han (University of Connecticut); Chen Qian (University of California Santa Cruz) |
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Verified Telemetry: A General, Easy to use, Scalable, and Robust Fault Detection SDK for IoT Sensors.
Tanmaey Gupta, Shubhankar Handa, and Akshay Nambi (Microsoft Research) |
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