Program and Accepted Papers

Full program of CPS-IoT Week 2026

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May 12

Session 1 - Little Whispers & Battery-Free Hugs

Topic: Ultra-Low-Power & Backscatter Communication

• 3in1: Multi-Tone Joint Powering, Clocking, and Communication for Passive IoT
  Ruirong Huang (Johns Hopkins University) and Renjie Zhao (Johns Hopkins University)

• B³: Bistatic Backscatter Beamforming for mmWave IoTs
  Zhenzhe Lin (George Mason University), Yoon Chae (University of Texas at Arlington), Mingyo Jeong (George Mason University) and Parth Pathak (George Mason University)

• SharpPeak: Unlocking the True Potential of Tunnel Diodes for Low-Power Long-Range Communication
  Madhushanka Padmal (Uppsala University), Dilushi Piumwardane (Uppsala University) and Thiemo Voigt (Uppsala University, RISE)

• Bringing All Modulations to Underwater Backscatter via PDM-Synthesis
  Waleed Akbar (MIT), Ahmed Allam (MIT, University of Cincinnati), Nazish Naeem (MIT) and Fadel Adib (MIT)

• Piezo-Ultrasonic Backscatter: Low-Power High Throughput Underwater Networking
  Purui Wang (MIT), Weitung Chen (MIT), Waleed Akbar (MIT) and Fadel Adib (MIT, Cartesian)

• A Single-Chain Analog Backscatter Tag for Multi-Sensor Multiplexing
  Yijie Li (National University of Singapore), Weichong Ling (National University of Singapore), Taiting Lu (Pennsylvania State University), Bao Dao (University of Massachusetts Amherst), Yi-Chao Chen (Shanghai Jiao Tong University), Vaishnavi Ranganathan (Microsoft Research), Lili Qiu (UT Austin) and Jingxian Wang (National University of Singapore)

• Longan: Ultra-Low-Power, Long-Range LoRa Receiver for LPWANs
  Mingzhe Li (City University of Hong Kong), Tao Chen (Independent Researcher) and Zhenjiang Li (City University of Hong Kong)

• Enabling Cross Technology Communication from LR-FHSS to LoRa
  Md Ashikul Haque (University of Texas at Dallas), Aakriti Jain (University of Texas at Dallas), Prashant Modekurthy (University of Nevada) and Abusayeed Saifullah (University of Texas at Dallas)

• μMan: Towards Device-Agnostic Power Management for Battery-free IoT
  Chong Zhang (University of Electronic Science and Technology of China, Southwest Petroleum University), Han Wang (University of Electronic Science and Technology of China), Qianhe Meng (University of Electronic Science and Technology of China), Yize Zhao (University of Electronic Science and Technology of China), Shengyu Li (University of Electronic Science and Technology of China, The Hong Kong University of Science and Technology), Songfan Li (The Hong Kong University of Science and Technology), Zetao Gao (University of Electronic Science and Technology of China), Li Lu (University of Electronic Science and Technology of China) and Hongzi Zhu (Shanghai Jiao Tong University)

• Deform to Inform: Persistent Batteryless Sensing via Antenna Deformation and RFID Impedance Adaptation
  Haochen Zhao (University of California Los Angeles), Vishnu Naidu (University of California San Diego), Shanmu Wang (University of California Los Angeles), Kenneth J Loh (University of California San Diego) and Omid Abari (University of California Los Angeles)

• Cheetah: A New Paradigm for Battery-free Wearable Devices
  Vivian Dsouza (Delft University of Technology), Przemysław Pawełczak (Delft University of Technology), Alessandro Montanari (Nokia Bell Labs) and Ashok Samraj Thangarajan (Nokia Bell Labs)

• Enabling Active Sensing with Zero-Power Components
  Mingqi Xie (Shanghai Jiao Tong University), Qinyu Wang (Shanghai Jiao Tong University), Meng Jin (Shanghai Jiao Tong University), Fengyuan Zhu (Shanghai Jiao Tong University), Jiaxin Ding (Shanghai Jiao Tong University), Xinbing Wang (Shanghai Jiao Tong University) and Chenghu Zhou (Chinese Academy of Sciences)

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May 12

Session 2 - I See You: Peeking Through the Waves

Topic: mmWave Radar & Radio-Frequency Imaging

• Towards Practical Bi-Static Polarimetric Imaging Using Commodity mmWave Radars for Material Sensing
  Xinghua Sun (University of Washington) and Akshay Gadre (University of Washington)

• Surface Material and Roughness Sensing Using mmWave via Surface Scattering and Ambient Vibrations
  Yawen Liu (Carnegie Mellon University), Bert Shan (Carnegie Mellon University) and Swarun Kumar (Carnegie Mellon University)

• MetaPolar: A Low-Cost, Passive, mmWave Radar-Readable Metasurface Road Sign
  Kai Zheng (University of California San Diego), Wuqiong Zhao (University of California San Diego) and Xinyu Zhang (University of California San Diego)

• Sense with Polyface Mirror: Enhancing Wi-Fi Sensing Diversity via Programmable Metasurfaces
  Long Fan (Nanjing University), Yinghui He (Nanyang Technological University), Lei Xie (Nanjing University), Serene Zhang (Raffles Institution) and Jun Luo (Nanyang Technological University)

• Millimeter-Scale Absolute Carrier Phase-Based Localization in Multi-Band Systems
  Andrea Bedin (IMDEA Networks), Joerg Widmer (IMDEA Networks), Melanny Davila (Politecnico di Milano), Marco Canil (IMDEA Networks) and Rafael Ruiz (IMDEA Networks)

• 0cal: Zero-Cost Calibration for mmWave Networks
  Xin Liu (Florida State University), Wei-Han Chen (The Ohio State University) and Kannan Srinivasan (The Ohio State University)

• mmAnomaly: Leveraging Visual Context for Robust Anomaly Detection in the Non-Visual World with mmWave Radar
  Tarik Reza Toha (University of North Carolina at Chapel Hill), Shao-Jung (Louie) Lu (University of North Carolina at Chapel Hill), Mahathir Monjur (University of North Carolina at Chapel Hill) and Shahriar Nirjon (University of North Carolina at Chapel Hill)

• GigaFlex: Contactless Monitoring of Muscle Vibrations During Exercise with a Chaos-Inspired Radar
  Jiangyifei Zhu (Carnegie Mellon University), Yuzhe Wang (Carnegie Mellon University), Tao Qiang (Shanghai Jiao Tong University), Vu Phan (Carnegie Mellon University), Zhixiong Li (Carnegie Mellon University), Evy Meinders (Carnegie Mellon University), Eni Halilaj (Carnegie Mellon University), Justin Chan (Carnegie Mellon University) and Swarun Kumar (Carnegie Mellon University)

• OmniPC: A Generalizable Point Cloud Generation Pipeline for mmWave Radar
  Hongliu Yang (Peking University), Zizhou Fan (Peking University), Jie Xiong (Nanyang Technological University), Duo Zhang (Peking University), Xusheng Zhang (Peking University), Zijun Han (Peking University), Fusang Zhang (Beihang University, Ministry of Industry and Information Technology) and Daqing Zhang (Peking University, Institut Polytechnique de Paris)

• MIRO: Multi-Radar Identity and Ranging for Occupational Safety
  Tirthankar Halder (IIT Kharagpur), Argha Sen (IIT Kharagpur), Swadhin Pradhan (Cisco Systems), Rijurekha Sen (IIT Delhi) and Sandip Chakraborty (IIT Kharagpur)

• Motion Capture with Millimeter-Wave Tags
  Xin Yang (University of Pennsylvania), Freddy Yifei Liu (University of Pennsylvania), Yunshuang Li (University of Pennsylvania), Yao Gong (University of Pennsylvania), Dinesh Jayaraman (University of Pennsylvania), Omid Abari (UCLA) and Mingmin Zhao (University of Pennsylvania)

• Stereo-Fi: Free-Form 3D Reconstruction via Generatively Co-Trained Inverse RF Rendering
  Xueqiang Han (Southern University of Science and Technology), Tianyue Zheng (Southern University of Science and Technology) and Jun Luo (Nanyang Technological University)

• MagLens: Bringing Mobile, Fine-Grained Imaging to Ferrous Building Structures
  Jike Wang (Shanghai Jiao Tong University), Yasha Iravantchi (Stanford University), Mingke Wang (The University of Michigan, Ann Arbor), Alanson Sample (University of Michigan), Kang Geun Shin (The University of Michigan), Xinbing Wang (Shanghai Jiao Tong University) and Dongyao Chen (Shanghai Jiao Tong University)

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May 12

Session 3 - Tiny Brains, Big Ideas: Edge AI Cuties

Topic: On-Device AI & Efficient Inferenceg

• AutoEmbed: LLM-driven Automated Software Development for Generic Embedded IoT Systems
  Huanqi Yang (City University of Hong Kong), Mingzhe Li (City University of Hong Kong), Mingda Han (Shandong University), Zhenjiang Li (City University of Hong Kong) and Weitao Xu (City University of Hong Kong)

• An Efficient Context Management System for On-Device LLMaaS
  Wangsong Yin (Peking University), Mengwei Xu (BUPT), Yuanchun Li (Institute for AI Industry Research (AIR), Tsinghua University) and Xuanzhe Liu (Peking University)

• MMEdge: Accelerating On-device Multimodal Inference via Pipelined Sensing and Encoding
  Runxi Huang (Hong Kong University of Science and Technology), Mingxuan Yu (Hong Kong University of Science and Technology), Mingyu Tsoi (Hong Kong University of Science and Technology) and Xiaomin Ouyang (Hong Kong University of Science and Technology)

• Optimizing Feature Extraction for On-device Model Inference with User Behavior Sequences
  Chen Gong (Shanghai Jiao Tong University), Zhenzhe Zheng (Shanghai Jiao Tong University), Yiliu Chen (ByteDance), Sheng Wang (ByteDance), Fan Wu (Shanghai Jiao Tong University) and Guihai Chen (Shanghai Jiao Tong University)

• EdgeTune: Efficient On-Device LLM Personalization at the Edge
  Zhenyu Wang (University of North Carolina at Chapel Hill), Rana Muhammad Shahroz Khan (University of North Carolina at Chapel Hill), Tianlong Chen (University of North Carolina at Chapel Hill) and Shahriar Nirjon (University of North Carolina at Chapel Hill)

• PELM: Power Efficient On-Device LLM Inference with Speculative Decoding and Dynamic Voltage Frequency Scaling
  Weisi Yang (Northwestern University) and Stephen Xia (Northwestern University)

• ConvReflex: Efficient Ultra-Low-Power CNN Inference via Clamping Prediction
  Shiming Li (Uppsala University), Luca Mottola (Politecnico di Milano, RI.SE, Uppsala University), Yuan Yao (Uppsala University) and Stefanos Kaxiras (Uppsala University)

• BoTTA: Benchmarking On-device Test Time Adaptation
  Michal Danilowski (University of Birmingham), Soumyajit Chatterjee (Nokia Bell Labs, University of Cambridge) and Abhirup Ghosh (University of Birmingham, University of Cambridge)

• Short Paper: Towards Algorithmically Grounded Embedded AI Models
  Zhenyu Wang (University of North Carolina at Chapel Hill), Md Yusuf Sarwar Uddin (University of Missouri-Kansas City) and Shahriar Nirjon (University of North Carolina at Chapel Hill)

• Towards Generalizable Wireless Sensing Models via Pre-training on Multi-Source Datasets
  Chen Gong (Peking University), Bo Liang (Peking University), Qihao Zhu (Peking University), Wei Gao (University of Pittsburgh), Yin Chen (Reitaku University), Jin Nakazawa (Keio University) and Chenren Xu (Peking University)

• SynchroNB: Toward Robust Timing for 5G NB-IoT Networks
  Muhammad Abdullah Soomro (University of Massachusetts Amherst), Muhammad Shayan Nazeer (University of Massachusetts Amherst), Collin DelSignore (University of Massachusetts Amherst), Yasra Chandio (University of Massachusetts Amherst), Muhammad Taqi Raza (University of Massachusetts Amherst) and Fatima Muhammad Anwar (University of Massachusetts Amherst)

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May 13

Session 4 - Feel Me: Snuggly Tech & Body Vibes

Topic: Next-Gen Wearables & Digital Health

• WildFiT: Autonomous In-Situ Model Adaptation for Resource-Constrained IoT Systems
  Mohammad Mehdi Rastikerdar (University of Massachusetts Amherst), Jin Huang (University of Massachusetts Amherst), Hui Guan (University of Massachusetts Amherst) and Deepak Ganesan (University of Massachusetts Amherst)

• WISP: Printable Graphene-Based Wearables for Force-Based Micro-Gesture Recognition
  Zhenyu Lei (University of Massachusetts Amherst), Xiaomeng Liu (University of Massachusetts Amherst), Quan Zhang (University of Massachusetts Amherst), VP Nguyen (University of Massachusetts Amherst), Jun Yao (University of Massachusetts Amherst) and Deepak Ganesan (University of Massachusetts Amherst)

• VYRE: Low-Burden and Robust Oscillometric Ring-Based System for Frequent Blood Pressure Monitoring
  Amirmohammad Radmehr (University of Massachusetts Amherst), Shamanth Kuthpadi Seethakantha (University of Massachusetts Amherst), Abdul Aziz (University of Massachusetts Amherst), Quang Trung Tran (University of Massachusetts Amherst), Aryan Nair (University of Massachusetts Amherst), William Saulnier (University of Massachusetts Amherst), Deepak Ganesan (University of Massachusetts Amherst) and Phuc Nguyen (University of Massachusetts Amherst)

• Med2ECG: Medical-Guided BCG-To-ECG Reconstruction for Diverse Populations
  Lin Chen (HKUST (GZ)), Yandao Huang (HKUST), Chenggao Li (HKUST), Jun Chen (HKUST (GZ)), Shuxin Zhong (HKUST (GZ)), Minghui Qiu (HKUST (GZ)), Chunzhen Guo (HKUST (GZ)), Yi Wang (HKUST (GZ)), Qian Zhang (HKUST) and Kaishun Wu (HKUST (GZ))

• EarPCG: Recovering Heart Sounds from in-Ear Audio via Physics-Informed Neural Network
  Junyi Zhou (Huazhong University of Science and Technology), Yiyi Zhang (Huazhong University of Science and Technology), Henglin Pu (Purdue University), Peng Guo (Huazhong University of Science and Technology), Tianyue Zheng (Southern University of Science and Technology), Chao Cai (Huazhong University of Science and Technology) and Jun Luo (Nanyang Technological University)

• NutriEar: Robust Nutrition-Aware Food Classification from In-Ear Acoustic Signals
  Zoey Xiaochen Tan (University of Cambridge), Yang Liu (Florida State University), Kayla-Jade Butkow (University of Cambridge) and Cecilia Mascolo (University of Cambridge)

• MRI-Grade Photoplethysmography Using Bundled Fiber Optics for Contactless Heart Rate Monitoring and Real-Time Gating
  Tommaso Polonelli (ETH Zürich), Sébastien Emery (ETH Zürich), Bianca Müller (ETH Zürich), Ivan Simeonov (ETH Zürich), Marco Giordano (ETH Zürich), Michele Magno (ETH Zürich) and Sebastian Kozerke (ETH Zürich)

• Short Paper: EarSleeve: Transforming Everyday Earphones into a 12-Lead ECG Sensing Platform
  Junxi Xia (Northwestern University), Doğaç Eldenk (Northwestern University), Hongjun Xu (Northwestern University), Yang Liu (Florida State University) and Stephen Xia (Northwestern University)

• WristSense: Sensing Hidden Wrist Strain in Routine Activities via Inertial Tokenization and LLM-Based Feedback
  Garvit Chugh (Indian Institute of Technology Jodhpur), Ananya Mondal (Indian Institute of Technology Jodhpur), Sandip Chakraborty (Indian Institute of Technology Kharagpur) and Suchetana Chakraborty (Indian Institute of Technology Jodhpur)

• Short Paper: Towards Real-Time ECG and EMG Modeling on μNPUs
  Josh Millar (Imperial College London), Ashok Samraj Thangarajan (Nokia Bell Labs), Soumyajit Chatterjee (Brave Software & University of Cambridge) and Hamed Haddadi (Imperial College London)

• From a Point to Hundreds: Embracing LiDAR on Commodity Smartphones for Fine-Grained Pulmonary Function Sensing
  Xuefu Dong (The University of Tokyo), Wenwei Li (Peking University), Minhao Cui (Seoul National University), Zilong Wang (Microsoft Research Asia), Lupeng Zhang (Nanyang Technological University), Akihito Taya (The University of Tokyo), Yuuki Nishiyama (The University of Tokyo), Kaoru Sezaki (The University of Tokyo), Lili Qiu (Microsoft Research Asia, UT Austin) and Jie Xiong (Nanyang Technological University)

• NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals
  Jiani Cao (City University of Hong Kong), Kun Wang (City University of Hong Kong), Yang Liu (Florida State University) and Zhenjiang Li (City University of Hong Kong)

• Short Paper: WearBCI Dataset: Understanding and Benchmarking Real-World Wearable Brain-Computer Interfaces Signals
  Haoxian Liu (Hong Kong University of Science and Technology), Hengle Jiang (Hong Kong University of Science and Technology), Lanxuan Hong (Hong Kong University of Science and Technology) and Xiaomin Ouyang (Hong Kong University of Science and Technology)

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May 13

Session 5 - Sky-High Buddies: Drones & Space Friends

Topic: Satellite, Drone & Robotic Systems

• Short Paper: The Starlink Robot: A Platform and Dataset for Mobile Satellite Communication
  Boyi Liu (University College London, HKUST), Qianyi Zhang (University College London), Qiang Yang (University of Cambridge), Jianhao Jiao (University College London), Chauhan Jagmohan (University College London) and Dimitrios Kanoulas (University College London)

• Exploring LEO Satellite Networks for Continuous Monitoring and Dynamic Tracking
  Lang Wei (The Ohio State University), Ruichen Li (Ohio State University), Baodong Chen (The Ohio State University), Qifan Yang (Ohio State University), Yufan Wu (Ohio State University) and Ting Zhu (The Ohio State University)

• SERENADE: A Digital Twin Emulator for LEO Satellite Networking At-Scale
  Roberto Chamorro Martinez (Georgia Institute of Technology), N. Cameron Matson (Georgia Institute of Technology) and Karthikeyan Sundaresan (Georgia Institute of Technology)

• Enabling Near-realtime Remote Sensing via Satellite–Ground Collaboration of Large Vision–Language Models
  Zihan Li (Fudan University), Jiahao Yang (Fudan University), Yuxin Zhang (Fudan University), Zhe Chen (Fudan University) and Yue Gao (Fudan University)

• LaSen: Low-Altitude Drone Sensing with 5G-NR Signals
  Qian Yang (Southern University of Science and Technology, Peng Cheng Laboratory), Yongtao Dai (Sun Yat-sen University), Mingrui Li (Sun Yat-sen University), Qianyi Huang (Sun Yat-sen University), Xu Chen (Sun Yat-sen University), Jin Zhang (Southern University of Science and Technology), Guochao Song (China Academy of Information and Communications Technology), Qian Zhang (The Hong Kong University of Science and Technology) and Xiaofeng Tao (Beijing University of Posts and Telecommunications, Peng Cheng Laboratory)

• Count Every Rotation and Every Rotation Counts: Exploring Drone Dynamics via Propeller Sensing
  Xuecheng Chen (Tsinghua University), Jingao Xu (The University of Hong Kong), Wenhua Ding (Tsinghua University), Haoyang Wang (Tsinghua University), Xinyu Luo (Tsinghua University), Ruiyang Duan (Meituan Academy of Robotics), Jialong Chen (Meituan Academy of Robotics), Xueqian Wang (Tsinghua University), Yunhao Liu (Tsinghua University) and Xinlei Chen (Tsinghua University)

• GreenScatter: Through-Canopy Soil Moisture Sensing with UAV-Mounted Radar
  Luke Jacobs (University of Illinois Urbana-Champaign), Ishfaq Aziz (University of Illinois Urbana-Champaign), Benhao Lu (University of Illinois Urbana-Champaign), Alireza Tabatabaeenejad (The Aerospace Corporation), Mohamad Alipour (University of Illinois Urbana-Champaign) and Elahe Soltanaghai (University of Illinois Urbana-Champaign)

• ARC: Accurate, Real-Time, and Scalable Multi-Vehicle Cooperative Perception
  Kaleem Nawaz Khan (Rochester Institute of Technology) and Fawad Ahmad (Rochester Institute of Technology)

• CARTS: Cooperative and Adaptive Resource Triggering and Stitching for 5G ISAC
  Cheng Jiang (University of New South Wales), Yihe Yan (University of New South Wales), Yanxiang Wang (School of Software, Shandong University), Jiawei Hu (University of New South Wales), Chun Tung Chou (University of New South Wales) and Wen Hu (University of New South Wales)

• EventEye: Towards High-Frequency Perception Enhancement for Autonomous Vehicles Using Infrastructure-Mounted Event Cameras
  Jingfei Xia (The Chinese University of Hong Kong), Yuze He (Carnegie Mellon University), Chen Bian (The Chinese University of Hong Kong), Zhenyu Yan (The Chinese University of Hong Kong) and Guoliang Xing (The Chinese University of Hong Kong)

• COACH: Adaptive Robust Human-Robot Collaboration for Efficient Smart Manufacturing
  Hui Wang (Harbin Engineering University), Liekang Zeng (The Chinese University of Hong Kong), Zhiwen Yu (Harbin Engineering University, Northwestern Polytechnical University), Yao Zhang (Northwestern Polytechnical University), Di Duan (The Chinese University of Hong Kong), Mu Yuan (The Chinese University of Hong Kong), Bin Guo (Northwestern Polytechnical University) and Guoliang Xing (The Chinese University of Hong Kong)

• Defending Autonomous Driving Perception against Adversarial Object-Based Attacks via Motion Planning
  Zihao Liu (Iowa State University), Yan Zhang (Iowa State University), Yi Zhu (Wayne State University), Lu Su (Purdue University), Chunming Qiao (SUNY at Buffalo) and Chenglin Miao (Iowa State University)

• Been There, Scanned That: Nostalgia-Driven Point Cloud Compression for Self-Driving Cars
  Ali Khalid (Rochester Institute of Technology), Jaiaid Mobin (Rochester Institute of Technology), Sumanth Rao Appala (University of Pennsylvania), Avinash Maurya (Rochester Institute of Technology), Stephany Berrio Perez (The University of Sydney), M. Mustafa Rafique (Rochester Institute of Technology) and Fawad Ahmad (Rochester Institute of Technology)

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May 14

Session 6 - Good Vibrations: Whispers in the Air

Topic: Ambient Wi-Fi, UWB & Acoustic Sensing

• WiRainbow: Single-Antenna Direction-Aware Wi-Fi Sensing via Dispersion Effect
  Zhaoxin Chang (Institut Polytechnique de Paris), Shuguang Xiao (Shenzhen University of Information Technology, Southern University of Science and Technology), Fusang Zhang (Beihang University, Chinese Academy of Sciences), Xujun Ma (Institut Polytechnique de Paris), Badii Jouaber (Institut Polytechnique de Paris), Qingfeng Zhang (Southern University of Science and Technology) and Daqing Zhang (Institut Polytechnique de Paris, Peking University)

• Zero-Effort Cross-Domain Wireless Respiration Monitoring Under Free Movements With Commercial UWB Devices
  Ge Wang (Xi'an Jiaotong University), Jiazheng Chen (Xi'an Jiaotong University), Zhe Chen (Fudan University), Fei Wang (Xi'an Jiaotong University), Cong Zhao (Xi'an Jiaotong University), Jianan Wang (Shanghai Jiaotong University), Han Ding (Xi'an Jiaotong University), Cui Zhao (Xi'an Jiaotong University), Wei Xi (Xi'an Jiaotong University) and Jinsong Han (Zhejiang University)

• UWB-Based Localization of Smartphones inside a Vehicle to Prevent Distracted Driving
  Kailai Cui (University of Michigan Ann Arbor), Ke Sun (University of Michigan Ann Arbor) and Kang Geun Shin (University of Michigan Ann Arbor)

• NeRC: Neural Ranging Correction through Differentiable Moving Horizon Location Estimation
  Xu Weng (Nanyang Technological University), Keck Voon Ling (Nanyang Technological University), Haochen Liu (Nanyang Technological University), Bingheng Wang (National University of Singapore) and Kun Cao (Tongji University)

• AMULET: Acoustic Metastructure for Direction-of-Arrival Estimation Underwater Using a Single Hydrophone
  Andrew Bergey (University of Washington), Nakul Garg (Rice University) and Akshay Gadre (University of Washington)

• SingSprite: Non-Tactile Appliance Interaction for the Blind through Power-Supply Acoustic Signatures
  Lanqing Yang (Shanghai Jiao Tong University), Weiyi Wang (Shanghai Jiao Tong University), Yongzhao Zhang (UESTC), Yixin Liu (Shanghai Jiao Tong University), Yi-Chao Chen (Shanghai Jiao Tong University), Guangtao Xue (Shanghai Jiao Tong University) and Ahmad Ali (Shenzhen University)

• MoiréEar: Moiré Can See What You Cannot Hear
  Hongqiang Zhang (Zhejiang University, Nanyang Technological University), Lupeng Zhang (Nanyang Technological University), Chengcheng Zhao (Zhejiang University), Yuanchao Shu (Zhejiang University), Peng Cheng (Zhejiang University), Jiming Chen (Zhejiang University) and Jie Xiong (Nanyang Technological University)

• LightTells: Lights Reveal What You Are Doing
  Yue Zhang (Saint Louis University), Nan Cen (Saint Louis University) and Peijun Hou (Saint Louis University)

• LuxTag: Ambient Light Sensing and Localization via Passive RFID
  Xingyu Chen (Nanjing University), Jia Liu (Nanjing University), Chengxuan Fu (Nanjing University), Lei Xie (Nanjing University), Yanchao Zhao (Nanjing University of Aeronautics and Astronautics), Baoliu Ye (Nanjing University), Chen Tian (Nanjing University) and Guihai Chen (Nanjing University)

• mTrack: Enabling Long-Term Mouse Social Behavior Analysis through RFID-Vision Hybrid Tracking
  Xingyuming Liu (Peking Univerisity), Bo Liang (Peking University), Haobo Wang (Peking University), Zhonghao Li (Peking University), Qirui Liu (Peking University), Yan-Xue Xue (Peking University), Yunhuai Liu (Peking University) and Chenren Xu (Peking University)

• FusionBridge: Enhancing Multi-View Multi-Modal Sensing and Perception for Edge Intelligence
  Dhanuja Wanniarachchige (Singapore Management University), Kasthuri Jayarajah (New Jersey Institute of Technology), Tarek Abdelzaher (UIUC) and Archan Misra (Singapore Management University)

• LLMSEG: Semantic Segmentation and Few-Shot Recognition of Human Activity Recognition Data Using Large Language Models
  Jiashu Liu (University of Helsinki), Kevin Post (University of Tartu), Reo Kuchida (University of Tartu), Agustin Zuniga (University of Helsinki), Fatemeh Sarhaddi (University of Helsinki), Huber Flores (University of Tartu), Petteri Nurmi (University of Helsinki) and Ngoc Thi Nguyen (National University of Singapore)

• ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Smart-Home Human Activity Modeling
  Weihang You (University of Georgia), Hanqi Jiang (University of Georgia), Jiahui Li (University of Georgia), Zishuai Liu (University of Georgia), Tianming Liu (University of Georgia), Jin Lu (University of Georgia) and Fei Dou (University of Georgia)

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May 14

Session 7 - Protection & Performance: Keeping it Secure

Topic: IoT Security, Privacy & Reliability

• EMPalm: Exfiltrating Palm Biometric Data via Electromagnetic Side-Channel
  Haowen Xu (Worcester Polytechnic Institute), Tianya Zhao (Florida International University), Xuyu Wang (Florida International University), Lei Ma (Worcester Polytechnic Institute), Jun Dai (Worcester Polytechnic Institute), Alexander Wyglinski (Worcester Polytechnic Institute) and Xiaoyan Sun (Worcester Polytechnic Institute)

• Jailbreaking Embodied LLMs via Action-Level Manipulation
  Xinyu Huang (The Hong Kong Polytechnic University), Qiang Yang (University of Cambridge), Leming Shen (The Hong Kong Polytechnic University), Zijing Ma (The Hong Kong Polytechnic University) and Yuanqing Zheng (The Hong Kong Polytechnic University)

• On Securing the Software Development Lifecycle in IoT RISC-V Trusted Execution Environments
  Annika Wilde (Ruhr University Bochum), Samira Briongos (NEC Laboratories Europe), Claudio Soriente (GMV Spain) and Ghassan Karame (Ruhr University Bochum)

• TIRA: Task-Based Intermittent Remote Attestation
  Fatemeh Arkannezhad (UCLA) and Nader Sehatbakhsh (UCLA)

• Resolving Energy Storage for Intermittent Inference
  Rei Barjami (Politecnico di Milano), Antonio Miele (Politecnico di Milano) and Luca Mottola (Politecnico di Milano, Uppsala University, RI.SE)

• R²DShield: Robust Object Detection in Real-Time via Bayesian Input Shielding
  Shuo Huai (Nanyang Technological University), Zhixin Xie (Nanyang Technological University) and Jun Luo (Nanyang Technological University)

• Characterizing Security and Privacy Risks in Smart Home IoT Device Access Sharing
  Yinxin Wan (University of Massachusetts Boston), Ting Xu (University of Massachusetts Boston), Tran Ngoc Bao Huynh (Worcester Polytechnic Institute), Jun Dai (Worcester Polytechnic Institute), Xiaoyan Sun (Worcester Polytechnic Institute), Kuai Xu (Arizona State University) and Guoliang Xue (Arizona State University)

• On the Energy Cost of Post-Quantum Key Establishment in Wireless Low-Power Personal Area Networks
  Tao Liu (Queensland University of Technology), Gowri Ramachandran (Queensland University of Technology) and Raja Jurdak (Queensland University of Technology)

• RAN-Aware Delay Compensation for Delay-Sensitive Protocols in Cellular Networks
  Yuxin Liu (University at Buffalo SUNY), Tianyang Zhang (University at Buffalo SUNY), Qiang Wu (University at Buffalo SUNY), Ju Ren (Tsinghua University), Kyle Jamieson (Princeton University) and Yaxiong Xie (University at Buffalo SUNY)

• Decoupling Timing Estimation and Convergence for Efficient and Accurate Exploration of Configurations in Edge DDL Training
  Joshua Daley (Binghamton University), Pengzhan Hao (Binghamton University) and Yifan Zhang (Binghamton University)

• Short Paper: Simulation-Based Performance Characterization of Common NOR Flash File Systems
  Yannick Loeck (Hamburg University of Technology), Christian Dietrich (Technische Universität Braunschweig) and Ulf Kulau (Hamburg University of Technology)

• ApproxBit: Efficient Video Analytics through Latency-Aware Offloading with Learned Binary Codes
  Hyunseung Kim (Purdue University), Sheetal Prasanna (Purdue University), Yin Li (University of Wisconsin-Madison), Somali Chaterji (Purdue University) and Saurabh Bagchi (Purdue University, KeyByte)

• MoViD: View-Invariant 3D Human Pose Estimation via Motion-View Disentanglement
  Yejia Liu (Hong Kong University of Science and Technology), Hengle Jiang (Hong Kong University of Science and Technology), Haoxian Liu (Hong Kong University of Science and Technology), Runxi Huang (Hong Kong University of Science and Technology) and Xiaomin Ouyang (Hong Kong University of Science and Technology)

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May 14

Session 8 - Garden Parties & Happy Smart Cities

Topic: Applied IoT & Environmental Sensing

• SoilX: Calibration-Free Comprehensive Soil Sensing through Contrastive Cross-Component Learning
  Kang Yang (University of California, Merced), Yuanlin Yang (University of California, Merced), Yuning Chen (University of California, Merced), Sikai Yang (University of California, Merced), Xinyu Zhang (University of California San Diego) and Wan Du (University of California, Merced)

• FlourSpec: Cost-Effective Spectral Analysis for Trace-Level Detection of Flour Adulteration
  Shanwen Chen (HKUST), Haiyan Hu (HKUST), Yinan Zhu (HKUST) and Qian Zhang (HKUST)

• FruitScope: A Non-Invasive Fruit Ripeness Sensing System via Multi-Resolution FMCW Design and Acoustic Sensing
  Shanmu Wang (University of California Los Angeles) and Omid Abari (University of California Los Angeles)

• Short Paper: Counting Parked Bicycles on the Edge - A TinyML Smart City Application
  Jan Stenkamp (University of Münster), Mathis Hunke (University of Münster), Cem Karatas (University of Münster), Steffen Kirchhoff (University of Münster), Christoph Knaden (University of Münster), Paul Naebers (University of Münster), Lige Zhao (University of Münster), Benjamin Karic (University of Münster), Fabian Gieseke (University of Münster, University of Copenhagen) and Nina Herrmann (University of Münster)

• ENTS: Experiences in Co-Designed Environmental Sensing
  John Madden (University of California Santa Cruz), Stephen Taylor (University of California San Diego), Laura Jaliff (Northwestern University), Aaron Wu (University of California San Diego), Alec Levy (University of California Santa Cruz), Jack Lin (University of California Santa Cruz), Ahmed Falah (Alexandria University), Tyler Potyondy (University of California San Diego), Josiah Hester (Georgia Institute of Technology), George Wells (Northwestern University), Yaman Sangar (Georgia Institute of Technology), Pat Pannuto (University of California San Diego) and Colleen Josephson (University of California Santa Cruz)

• MoiréLens: Bringing Schlieren Imaging into Real-World Environments Using Moiré Patterns
  Linzhen Zhu (University of Michigan), Runqiu Wang (University of Michigan), Yi Rong (University of Michigan) and Ke Sun (University of Michigan)

• MagTach: Non-Intrusive Long-Range Magnetic Tachometry via Harmonic-Aware Inductive Sensing
  Rahul Sidramappa Hoskeri (University of California Merced) and Hua Huang (University of California Merced)

• VehicleSense: Adaptive Sensor-Video Learning for Vehicle Type Identification and Overload Detection
  Ashutosh Kr Sinha (IIT Patna), Sushant Dagaji Desale (IIT Patna), Nirjay Kumar (IIT Patna) and Rahul Mishra (IIT Patna)

• SPIDER: Lightweight Speaker Identification on Resource-Constrained Embedded Devices
  Markus Gallacher (Graz University of Technology), Carlo Alberto Boano (Graz University of Technology), Arun Sankar Muttathu Sivasankara Pillai (South East Technological University), Utz Roedig (University College Cork), Willian Lunardi (Technology Innovation Institute) and Michael Baddeley (Technology Innovation Institute)

• RippleSense: Scalable and Efficient Wideband Spectrum Sensing
  Andreas Kuster (Nanyang Technological University), Yanbo Zhang (Nanyang Technological University) and Mo Li (Hong Kong University of Science and Technology)

• From Cheap to Chic: Enhancing Music Playback Quality of Budget Earphones via Hardware-Aware Learning
  Changshuo Hu (Singapore Management University), Hung Manh Pham (Singapore Management University), Ting Dang (The University of Melbourne), Jiannan Li (Singapore Management University), Rajesh Balan (Singapore Management University) and Dong Ma (University of Cambridge)

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