Research

The Center’s underlying technologies 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.

With its extensive network of partners, CS3 delivers innovations across five engineering and scientific areas:

THRUST 1

Connectivity & Wi-Edge

Current Research Projects:

  1. Foundations of mmWave Wireless
  2. Cognitive Wireless and Full Duplex Communication
  3. Edge-Cloud Integration and Management
  4. Joint Communication and Sensing
Learn More

THRUST 2

Situational Awareness

Current Research Projects:

  1. Data and Systems Support for Scene and Activity Understanding
  2. Scene and Activity Understanding
  3. Trajectory Analysis and Prediction
  4. Multi-Modal Integration
Learn More

THRUST 3

Privacy, Security & Fairness

Current Research Projects:

  1. Analysis of Emerging Smart Streetscape Threats
  2. Mitigation of Emerging Smart Streetscape Threats
  3. Community Legibility of Threats and Guarantees
Learn More

THRUST 4

Public Interest Technology

Current Research Projects:

  1. Needs Assessment and Priority Mapping through Participatory Research
  2. Analysis of Community Tradeoffs
  3. Community Co-Production and Co-Design
Learn More

THRUST 5

Streetscape Applications

Current Research Projects:

  1. Human-Computer Interaction Design for Smart Streetscapes
  2. Streetscape Application Stack and Runtime Design
  3. Smart Streetscape Operating System or Hypervisor Design
Learn More

Recent Publications

Connectivity & Wi-Edge

Adhikari, Abhishek, et al. “28 GHz Phased Array Interference Measurements and Modeling for a NOAA Microwave Radiometer in Manhattan.” Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, ACM, 2024, pp. 1695–97, https://doi.org/10.1145/3636534.3697463.
Nouri, Hatef, et al. “Dynamic Interference Avoidance in the Joint Space-Time Domain with Arbitrary Antenna Formations.” 2024 19th International Symposium on Wireless Communication Systems (ISWCS), 2024, pp. 1–6, https://doi.org/10.1109/ISWCS61526.2024.10639170.
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, vol. 59, no. 7, July 2024, pp. 2105–20, https://doi.org/10.1109/JSSC.2024.3351615.
Read More

Situational Awareness

Chang, Che-Jui, et al. Learning from Synthetic Human Group Activities. 2024, pp. 21922–32, https://cjerry1243.github.io/M3Act/.
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, https://dl.acm.org/doi/10.1007/978-3-031-73242-3_22.
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, https://arxiv.org/abs/2404.12460v1.
Read More

Privacy, Security & Fairness

Tholoniat, Pierre, et al. “Cookie Monster: Efficient On-Device Budgeting for Differentially-Private Ad-Measurement Systems.” Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, ACM, 2024, pp. 693–708, https://doi.org/10.1145/3694715.3695965.
Hao, Luoyao, and Henning Schulzrinne. “Poster: Identity-Independent IoT for Overarching Policy Enforcement.” 2024 IEEE Security and Privacy Workshops (SPW), 2024, pp. 296–296, https://doi.org/10.1109/SPW63631.2024.00036.
Ou, Tingting, et al. Thompson Sampling Itself Is Differentially Private. PMLR, 2024, pp. 1576–84, https://proceedings.mlr.press/v238/ou24a/ou24a.pdf.
Read More

Public Interest Technology

WALTER, HEDAYA, et al. Enhancing Urban Data Analysis through Large Language Models: A Case Study with NYC 311 Service Requests. 2024, https://human-llm-interaction.github.io/workshop/hri24/papers/hllmi24_paper_11.pdf.
Read More

Streetscape Applications

Moshfeghi, Sonia, and Jinwoo Jang. Pattern Mining of Older Drivers’ Driving Behavior Through Telematics-Data-Driven Unsupervised Learning. 12 Dec. 2024, https://doi.org/10.36227/techrxiv.173397871.10286123/v1.
Nie, Jingping, et al. “Real-Time Non-Contact Estimation of Running Metrics on Treadmills Using Smartphones.” Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, ACM, 2024, pp. 1644–46, https://doi.org/10.1145/3636534.3697446.
Liu, Yanchen, et al. “SPECTRA: A Drone-Based Multispectral Sensing Platform for Complex Environment Perception.” Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, ACM, 2024, pp. 1742–44, https://doi.org/10.1145/3636534.3698845.
Read More