Sensing & IoT
Multimodal sensing, wireless sensing, sensor systems, and Internet-of-Things platforms for real-world environments.
University of California, Los Angeles
Networked & Embedded Systems Laboratory
We build intelligent networked and embedded systems that sense, reason about, and interact with the physical world.
NESL is a research laboratory at UCLA led by Professor Mani Srivastava. Our work spans ubiquitous and mobile computing, sensing and IoT, human-cyber-physical systems, mobile health, security and privacy, and AI-enabled embedded systems.
Research
Computing systems for the physical world
Our research combines sensing, networking, embedded computing, machine learning, and systems design to create robust and useful cyber-physical technologies.
AI-Enabled Systems
Learning-enabled embedded and edge systems, foundation-model systems, adaptive inference, and intelligent resource management.
Human-Cyber-Physical Systems
Systems that connect people, computation, communication, and physical processes with an emphasis on dependable operation.
Mobile & Ubiquitous Computing
Mobile, wearable, and pervasive computing systems that operate continuously in unconstrained environments.
Mobile Health
Sensing and intelligent systems for continuous health measurement, physiological monitoring, and human-centered applications.
Security & Privacy
Security, privacy, and trustworthy sensing for networked and embedded systems.
People
Current members
Faculty
Mani Srivastava
Principal Investigator
Professor, Electrical & Computer Engineering and Computer Science, UCLA
Postdoctoral Researchers
Kang Yang
Postdoctoral Scholar
Electrical & Computer Engineering, UCLA
Sijie Ji
Schmidt Science Fellow · Co-advised Postdoctoral Researcher
California Institute of Technology · Co-advised by Mani Srivastava
PhD Students
Gaofeng Dong
PhD Student
LinkedIn ↗Pragya Sharma
PhD Student
LinkedIn ↗Liying Han
PhD Student
LinkedIn ↗Yuyang Yuan
PhD Student
LinkedIn ↗Khang Nguyen
Incoming PhD Student · Fall 2026
LinkedIn ↗Undergraduate & Master's Students
Oliver Wang
Student Researcher
LinkedIn ↗Joseph Zales
Student Researcher
LinkedIn ↗Selected work
Recent systems, benchmarks & open-source research
NESL maintains an active open-source research portfolio. A few representative projects are highlighted below.
Adaptive AI systems
SWAN
Research on world-aware adaptive multimodal networks for runtime variation.
View NESL GitHub ↗ Mobile health · UWB sensingMobiVital
Self-supervised quality estimation for UWB-based contactless respiration monitoring.
View project ↗ RF sensingRadHAR
Human activity recognition from point clouds generated through millimeter-wave radar.
View project ↗ Time-series AISpectral Predictability
Fast reliability indicators for time-series forecasting model selection.
View project ↗ BenchmarkingSTARK
Open-source benchmark infrastructure for spatiotemporal reasoning research.
View project ↗ Open sourceMore from NESL
Explore our broader collection of research code, datasets, systems, and experimental platforms.
Browse GitHub ↗Publications
Research spanning embedded systems, sensing, networking, AI, and cyber-physical systems.
For a complete and current publication list, see Professor Mani Srivastava's Google Scholar profile.
Contact
Networked & Embedded Systems Laboratory
University of California, Los Angeles
Los Angeles, California