Research

The center’s underlying technologies will integrate advances in wireless/optical communications, edge/cloud computing, situational awareness, and privacy and security, while balancing public sphere data collection requirements with community-defined benefits

Contents:

Research Thrusts   |   Research Testbeds   |   Latest Research

Research Thrusts

With its extensive network of partners, CS3 will unite diverse research communities through a convergent research model that delivers innovations across five engineering and scientific areas:

Wi-Edge

Wi-Edge

Current 5G bandwidth, latency, and density capabilities cannot meet situational awareness demands, while protecting privacy and community trust.
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Security, Privacy and Fairness

Security, Privacy, and Fairness

Emerging technologies pose new privacy, security, and fairness challenges that may compromise social equity.
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Streetscape Applications

Streetscape Applications

Neither the novel class of applications nor its necessary technological substrate currently exist.
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situational-awareness

Situational Awareness

CS3 demands outstrip state-of-the-art, requiring high-accuracy recognition and tracking across non-overlapping fields of view from sensors with heterogenous resolutions in complex, dynamic scenes.
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Human life in Social distance. Aerial top view with blur man with smartphone walking converse of other people at pedestrian crosswalk on grey pavement street road with empty space.

Public Interest Technology

Technology can intentionally or unintentionally produce or reproduce social harms, amplified for data collection in underserved communities.
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Latest Research

Dave, Ishan Rajendrakumar, et al. “Finepseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition.” ArXiv Preprint ArXiv:2409.01448, 2024.
Zhang, Tianya Terry, et al. “Car-Following Models: A Multidisciplinary Review.” IEEE Transactions on Intelligent Vehicles, 2024.
Van Hoorick, Basile, et al. “Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis.” ArXiv Preprint ArXiv:2405.14868, 2024.
Chang, Che-Jui, et al. Learning from Synthetic Human Group Activities. 2024, pp. 21922–32.
Turkcan, Mehmet Kerem, et al. “Boundless: Generating Photorealistic Synthetic Data for Object Detection in Urban Streetscapes.” ArXiv Preprint ArXiv:2409.03022, 2024.
Khalili, Boshra, and Andrew W. Smyth. “SOD-YOLOv8--Enhancing YOLOv8 for Small Object Detection in Traffic Scenes.” ArXiv Preprint ArXiv:2408.04786, 2024.
Mohammadi, Sevin, and Andrew W. Smyth. “NLP-Enabled Trajectory Map-Matching in Urban Road Networks Using Transformer Sequence-to-Sequence Model.” ArXiv Preprint ArXiv:2404.12460, 2024.
Turkcan, Mehmet Kerem, et al. “Constellation Dataset: Benchmarking High-Altitude Object Detection for an Urban Intersection.” ArXiv Preprint ArXiv:2404.16944, 2024.
Chanda, Vignay, et al. From Frustration to Function: A Study on Usability Challenges in Smart Home IoT Devices. IEEE, 2024, pp. 1–6.
Zang, Chengbo, et al. “Data-Driven Traffic Simulation for an Intersection in a Metropolis.” ArXiv Preprint ArXiv:2408.00943, 2024.
Chizhik, Dmitry, et al. Average Backscatter Clutter Power for RF Sensing Applications in Indoor Environments. IEEE, 2024, pp. 1–4.
Ou, Tingting, et al. Thompson Sampling Itself Is Differentially Private. PMLR, 2024, pp. 1576–84.
Fu, Yongjie, et al. Digital Twin for Pedestrian Safety Warning at a Single Urban Traffic Intersection. IEEE, 2024, pp. 2640–45.
Garikapati, Sasank, et al. “Full-Duplex Receiver With Wideband, High-Power RF Self-Interference Cancellation Based on Capacitor Stacking in Switched-Capacitor Delay Lines.” IEEE Journal of Solid-State Circuits, 2024.
Sun, Yuan, et al. “Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHF.” ArXiv Preprint ArXiv:2406.04481, 2024.
Dzaferagic, Merim, et al. “Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems.” ArXiv Preprint ArXiv:2407.01544, 2024.
Netalkar, Prasad, et al. “Scalable Dynamic Spectrum Access with IEEE 1900.5. 2 Spectrum Consumption Models.” Authorea Preprints, 2024.
Hao, Luoyao, and Henning Schulzrinne. Poster: Identity-Independent IoT for Overarching Policy Enforcement. IEEE, 2024, pp. 296–296.
Nagulu, Aravind, et al. “Doubling Down on Wireless Capacity: A Review of Integrated Circuits, Systems, and Networks for Full Duplex.” Proceedings of the IEEE, 2024.
Naderi, Sanaz, et al. “Self-Optimizing Near and Far-Field MIMO Transmit Waveforms.” IEEE Journal on Selected Areas in Communications, 2024.
WALTER, HEDAYA, et al. Enhancing Urban Data Analysis through Large Language Models: A Case Study with NYC 311 Service Requests. 2024.
Zhang, Tianya Terry, et al. “Hash-Based Gaussian Mixture Model (HGMM) for Roadside LiDAR Smart Infrastructure Applications.” IEEE Transactions on Intelligent Transportation Systems, 2024.
Jain, Gaurav, et al. Leveraging Street Cameras to Support Outdoor Navigation for Blind Pedestrians. 2023.
GRIMALOVSKY, MATTHEW, et al. Enhancing Human-Robot Interaction with Multimodal Large Language Models. 2024.
Chen, Minghao, et al. Drone Delivery Routing with Stochastic Urban Wind. IEEE, 2023, pp. 2260–67.
Kadota, Igor, et al. “Switching in the Rain: Predictive Wireless x-Haul Network Reconfiguration.” ACM SIGMETRICS Performance Evaluation Review, vol. 51, no. 1, 2023, pp. 101–02.
Huang, Yue-Kai, et al. Field Trial of Coexistence and Simultaneous Switching of Real-Time Fiber Sensing and 400GbE Supporting DCI and 5G Mobile Services. IEEE, 2023, pp. 1–3.
Jain, Gaurav, et al. “StreetNav: Leveraging Street Cameras to Support Precise Outdoor Navigation for Blind Pedestrians.” ArXiv Preprint ArXiv:2310.00491, 2023.
Kadota, Igor, et al. “Switching in the Rain: Predictive Wireless x-Haul Network Reconfiguration.” Proceedings of the ACM on Measurement and Analysis of Computing Systems, vol. 6, no. 3, 2022, pp. 1–26.
Kostić, Zoran, et al. “Smart City Intersections: Intelligence Nodes for Future Metropolises.” Computer, vol. 55, no. 12, 2022, pp. 74–85.
Ge, Yi, et al. “Roadside LiDAR Sensor Configuration Assessment and Optimization Methods for Vehicle Detection and Tracking in Connected and Automated Vehicle Applications.” Transportation Research Record, vol. 2678, no. 2, 2024, pp. 184–203.
Chen, Tingjun, et al. “Open-Access Millimeter-Wave Software-Defined Radios in the PAWR COSMOS Testbed: Design, Deployment, and Experimentation.” Computer Networks, vol. 234, 2023, p. 109922.
Kohli, Manav, et al. Outdoor-to-Indoor 28 GHz Wireless Measurements in Manhattan: Path Loss, Location Impacts, and 90% Coverage. 2022, pp. 201–10.
Ghasemi, Mahshid, et al. Real-Time Multi-Camera Analytics for Traffic Information Extraction and Visualization. IEEE, 2023, pp. 288–90.
Olivier, Audrey, et al. “Bayesian Neural Networks with Physics‐aware Regularization for Probabilistic Travel Time Modeling.” Computer‐Aided Civil and Infrastructure Engineering, vol. 38, no. 18, 2023, pp. 2614–31.
Bao, Fanchen, et al. “Mobility Intelligence: Machine Learning Methods for Received Signal Strength Indicator-Based Passive Outdoor Localization.” Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 6, 2022, pp. 269–82.
Kostopoulou, Kelly, et al. Turbo: Effective Caching in Differentially-Private Databases. 2023, pp. 579–94.
Sklivanitis, George, et al. Unsupervised Training Dataset Curation for Deep-Neural-Net RF Signal Classification. SPIE, 2023, pp. 64–73.
Chizhik, Dmitry, et al. “Backscatter Measurements and Models for RF Sensing Applications in Cluttered Environments.” ArXiv Preprint ArXiv:2401.15206, 2024.
Netalkar, Prasad, et al. Large-Scale Dynamic Spectrum Access with IEEE 1900.5. 2 Spectrum Consumption Models. IEEE, 2023, pp. 1–6.
Fioresi, Joseph, et al. Ted-Spad: Temporal Distinctiveness for Self-Supervised Privacy-Preservation for Video Anomaly Detection. 2023, pp. 13598–609.
Levin, Alon Simon, et al. Experimentation with Wideband Real-Time Adaptive Full-Duplex Radios. 2023, pp. 1170–72.
Ghasemi, Mahshid, et al. Real-Time Multi-Camera Analytics.
Wu, Tong, et al. Multi-Sensor Fusion for In-Cabin Vehicular Sensing Applications. 2023, pp. 332–33.
Zhang, Tianya Terry, et al. “Deep Spatial‐temporal Embedding for Vehicle Trajectory Validation and Refinement.” Computer‐Aided Civil and Infrastructure Engineering, 2024.
Chizhik, Dmitry, et al. Accurate Urban Path Loss Models Including Diffuse Scatter. IEEE, 2023, pp. 1–3.
Jain, Gaurav, et al. Towards Street Camera-Based Outdoor Navigation for Blind Pedestrians. 2023, pp. 1–6.
Mazokha, Stepan, et al. Single-Sample Direction-of-Arrival Estimation for Fast and Robust 3D Localization with Real Measurements from a Massive Mimo System. IEEE, 2023, pp. 1–5.
Mazokha, Stepan, et al. “MobLoc: CSI-Based Location Fingerprinting With MUSIC.” IEEE Journal of Indoor and Seamless Positioning and Navigation, 2023.
Kohli, Manav, et al. Outdoor-to-Indoor 28 GHz Wireless Measurements in Manhattan: Path Loss, Location Impacts, and 90% Coverage. 2022, pp. 201–10.