IoTDI 2023

8th ACM/IEEE Conference on Internet of Things Design and Implementation May 9-12th, 2023 — San Antonio, Texas

The poster/demo session for IoTDI'23 will happen on May 10th 2023, 3.30 PM to 5.30 PM (local time)

Accepted Posters


  1. Automatic Deployment Right-Sizing Through Hyperparameter Optimization.
    Authors: Aniruddha Rakshit (Binghamton University), Jayson Boubin (Binghamton University)

  2. Towards Distributed Machine Learning for Data Acquisition in Wireless Sensor Networks.
    Authors: Tayyaba Zainab (GEOMAR, Kiel), Olaf Landsiedel (Kiel University, Germany and Chalmers University of Technology, Sweden), Jens Karstens (GEOMAR, Kiel)

  3. IoT-based Child Safety Alert System
    Authors: Cody Beck (The University of Toledo), Mohammed Hammoud (The University of Toledo), Dawson Kirkland (The University of Toledo), Spencer Kleparek (The University of Toledo), Samia Tasnim (The University of Toledo)

  4. A Knowledge Graph Question Answering Approach to IoT Forensics
    Authors: Ruipeng Zhang (University of Tennessee at Chattanooga), Mengjun Xie (University of Tennessee at Chattanooga)

  5. SmartAppZoo: a Repository of SmartThings Apps for IoT Benchmarking
    Authors: Zhaohui Wang (University of Kansas), Bo Luo (University of Kansas), Fengjun Li (University of Kansas)

  6. Light-Weight Real-Time Senior Safety Monitoring using Digital Twins
    Authors: Qian Qu (Binghamton University), Han Sun (Binghamton University), Yu Chen (Binghamton University)

  7. Camera-Assisted Training of Non-Vision Sensors for Anomaly Detection
    Authors: Norah Albazzai (Cardiff University, UK), Omer Rana (Cardiff University, UK), Charith Perera (Cardiff University, UK)

  8. O-RAN Signaling Optimizations for Improved IoT Handover Performance in 5G Networks
    Authors: Eduardo Lichtenfels Riccio (University of Florida), Pavan Kumar Mangipudi (University of Florida), Janise McNair (University of Florida)

  9. A Human Body Power Transfer System to Enable Battery-Less Sensor Nodes
    Authors: Rabea Rogge (ETH Zürich), Lukas Schulthess (ETH Zürich), Christian Vogt (ETH Zurich), Michele Magno (ETH Zurich)

  10. Run-time Dynamic WCET Estimation
    Authors: Lia Cagnizi (Politecnico di Milano), Federico Reghenzani Politecnico di Milano, ESA), William Fornaciari (Politecnico di Milano)

  11. Contactless Vital Sign Monitoring using Low-Power FMCW Radar
    Authors: Steven Marty (ETH Zurich), Kanika Dheman (ETH Zurich), Michele Magno (ETH Zurich)

  12. L-IDS: A lightweight hardware-assisted IDS for IoT systems to detect ransomware attacks
    Authors: Farhad Mofidi (University of Colorado Colorado Springs), Sena Hounsinou (Metro State University), Gedare Bloom (University of Colorado Colorado Springs)

  13. Obstruction-Free Physiological Motion Sensing in NextG Networks with Intelligent Reflective Surfaces
    Authors: Denny Landika (University of Hawaii at Manoa), Saige Dacuycuy (University of Hawaii at Manoa), Yao Zheng (University of Hawaii at Manoa)

  14. Implementing Dynamic User Equilibrium in a Scaled City Environment with Duckietown and SUMO
    Authors: Thomas Carroll (University of Houston), Albert Mo Kim Cheng (University of Houston)

  15. An IoT Mesh Network for a Smart Refrigeration Monitoring System
    Authors: Kyle Morman (University of Florida), David Dexter (University of Florida), Aaron Costin (University of Florida), Janise McNair (University of Florida)

  16. Optimizing Neural Network Efficiency with Hybrid Magnitude-Based and Node Pruning for Energy-efficient Computing in IoT
    Authors: Mohammad Helal Uddin (University of Louisville), Sabur Baidya (University of Louisville)

  17. Learning-based Sensor Scheduling for Event Classification on Embedded Edge Devices
    Authors: Abdulrahman Bukhari (UC Riverside), Hyoseung Kim (UC Riverside)

  18. Battery-free and Passive Wake-up Receiver for Underwater Communication
    Authors: Lukas Schulthess (ETH Zürich), Philipp Mayer (ETH Zürich), Michele Magno (ETH Zürich)

  19. A LoRa-based Energy-Efficient, Sensing System for Urban Computing
    Authors: Lukas Schulthess (ETH Zürich), Tiago Salzmann (ETH Zürich), Christian Vogt (ETH Zürich), Michele Magno (ETH Zürich)

Accepted Demos


  1. An IoT Dashboard Monitoring First Responders’ Health and Environmental Data during HAZMAT Emergencies
    Authors: Ann Fruhling (University of Nebraska Omaha), Aaron Yoder (University of Nebraska Medical Center), Soundarya Jonnalagadda (University of Nebraska Omaha)

  2. A Hardware Prototype Targeting Federated Learning with User Mobility and Device Heterogeneity
    Authors: Allen-Jasmin Farcas (The University of Texas at Austin), Radu Marculescu (The University of Texas at Austin)

  3. In-Ear-Voice - Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms
    Authors: Philipp Schilk (Eidgenössische Technische Hochschule Zürich (ETHZ)), Niccolò Polvani (Logitech Europe, École polytechnique fédérale de Lausanne (EPFL)), Andrea Ronco (Eidgenössische Technische Hochschule Züric (ETHZ)), Milos Cernak (Logitech Europe), Michele Magno (Eidgenössische Technische Hochschule Zürich (ETHZ))

  4. Implementing a COVID-19 Risk Assessment System for User-Informed Travel Planning in Harris County
    Authors: Albert M. K. Cheng (University of Houston), Jude Nwankpa (University of Houston)

  5. Collaborative Real-Time Scheduling (CRTS) Algorithm for AGV Transportation System within a CPS Architecture
    Authors: Himansu Shaw (University of Houston), Albert Cheng (University of Houston)

  6. DOME – IoT-Based Monitoring Emergent Events for Wildland Fire Resilience
    Authors: Fangqi Liu (University of California, Irvine), Tung-Chun Chang (University of California, Irvine), Kevin Liu (University of California, Irvine), Cyrus Li (University of California, Irvine), Sachin Krishan Thyaharajan (University of California, Irvine), Sideshwar Jappeswaran Balasubramanian (University of California, Irvine), Nalini Venkatasubramanian (University of California, Irvine)