Mani Srivastava
Professor
Leads the Networked and Embedded Systems Laboratory on AI-enabled embedded sensing, mobile health and human-cyber-physical systems.
Mani Srivastava's lab at UCLA works on distributed, cloud & edge systems. 53 papers since 2023, 17 at top venues, mostly SenSys and NeurIPS. 4 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 32%
- PhD students
- 4
- MS students
- 0
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 6 papers2026 · T1 2 · collecting
- 20 papers2025 · T1 9
- 10 papers2024 · T1 1
- 17 papers2023 · T1 5
T1 venuesOtherVenues: SenSys, NeurIPS, ICRA, CVPR, ECCV
Research focuspaper titles that use each topic's words
- Distributed, cloud & edge systems10 papers
- embedded0 papers
- ai-enabled0 papers
- embedded sensing0 papers
- systems laboratory0 papers
Paper list
From DBLP.
20266 papers
- ICRA (T1)CADET: A Modular Platform for Evaluating Distributed Cooperative Autonomy in Connected Autonomous Vehicles (opens in a new tab)
- IEEE Internet Things J.Can LLMs Be Effective Sensor Processing Copilots? (opens in a new tab)
- e-EnergyCarbonX: An Open-Source Tool for Computational Decarbonization Using Time Series Foundation Models (opens in a new tab)
- ISLPEDFM-CAC: Carbon-Aware Control for Battery-Buffered Edge AI via Time-Series Foundation Models (opens in a new tab)
- Trans. Mach. Learn. Res.Scaling Online Complex Event Detection with Synthetic Supervision and Mamba-Based Neural Algorithmic Reasoning (opens in a new tab)
- ECCV (T1)SWAN: World-Aware Adaptive Multimodal Networks for Runtime Variations (opens in a new tab)
202520 papers
- IEEE Internet Comput.A Vision for Computational Decarbonization of Societal Infrastructure (opens in a new tab)
- NeurIPS (T1)ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources (opens in a new tab)
- ACM Trans. Sens. NetworksArtificial Intelligence of Things: A Survey (opens in a new tab)
- Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.AutoLife: Automatic Life Journaling with Smartphones and LLMs (opens in a new tab)
- NeurIPS (T1)Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges (opens in a new tab)
- ICCCNCloud Is Closer Than It Appears: Revisiting the Tradeoffs of Distributed Real-Time Inference (opens in a new tab)
- SenSys (T1)Detecting Context Shifts in the Human Experience Using Multimodal Foundation Models (opens in a new tab)
- NeurIPS (T1)GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis (opens in a new tab)
- WWW (T1)InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals (opens in a new tab)
- SECLLM-Driven Auto Configuration for Transient IoT Device Collaboration (opens in a new tab)
- SenSys (T1)MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT (opens in a new tab)
- HumanSys@SenSysMobiVital: Self-supervised Quality Estimation for UWB-based Contactless Respiration Monitoring (opens in a new tab)
202410 papers
- MILCOMAdapting Complex Event Detection to Perceptual Domain Shifts (opens in a new tab)
- BuildSysAre Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics? (opens in a new tab)
- IROS (T1)FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors (opens in a new tab)
- FUSIONNeuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer (opens in a new tab)
- HotMobilePenetrative AI: Making LLMs Comprehend the Physical World (opens in a new tab)
- SPPrivacyOracle: Configuring Sensor Privacy Firewalls with Large Language Models in Smart Built Environments (opens in a new tab)
- MobiSysRefreshChannels: Exploiting Dynamic Refresh Rate Switching for Mobile Device Attacks (opens in a new tab)
- FUSIONTeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action (opens in a new tab)
- CogMIThe Case for Micro Foundation Models to Support Robust Edge Intelligence (opens in a new tab)
- ACM Trans. Embed. Comput. Syst.TinyNS: Platform-aware Neurosymbolic Auto Tiny Machine Learning (opens in a new tab)
202317 papers
- FUSIONAccurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data (opens in a new tab)
- IoTDIAcuity: Creating Realistic Digital Twins Through Multi-resolution Pointcloud Processing and Audiovisual Sensor Fusion (opens in a new tab)
- MetaComChallenges in Metaverse Research: An Internet of Things Perspective (opens in a new tab)
- Expert Systems with ApplicationsDeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings (opens in a new tab)
- CVPR (T1)Depth Estimation from Camera Image and mmWave Radar Point Cloud (opens in a new tab)
- IoTDIEagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras (opens in a new tab)
- NeurIPS (T1)FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space (opens in a new tab)
- Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.Headar: Sensing Head Gestures for Confirmation Dialogs on Smartwatches with Wearable Millimeter-Wave Radar (opens in a new tab)
- UAI (T1)Heteroskedastic Geospatial Tracking with Distributed Camera Networks (opens in a new tab)
- Intell. Syst. Appl.Human-machine collaboration in intelligence analysis: An expert evaluation (opens in a new tab)
- MILCOMImpact of Delays and Computation Placement on Sense-Act Application Performance in IoT (opens in a new tab)
- Nat. Mac. Intell.Incorporating physics into data-driven computer vision (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCLAFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- optional
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CNSJTU
Chengzhang Li
- Distributed, cloud & edge systems
- USUIUC
Jian Huang
- Distributed, cloud & edge systems
- CNSJTU
Mingyu Wu
- Distributed, cloud & edge systems
- USMIT
Mohammad Alizadeh
- Distributed, cloud & edge systems
- HKCUHK
Zhenyu Yan
- Distributed, cloud & edge systems
- CNTsinghua
Zhi Wang
- Distributed, cloud & edge systems
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
UCLAcloses