Area of research
Artificial Intelligence · Computer Networks and Communications
Research interest
Research interests include Bayesian Modeling and Causal Inference, Energy Efficient Wireless Sensor Networks, Machine Learning and Algorithms, and Machine Learning and Data Classification.
Physical Activity Is Associated With Improved Glycemic Outcomes in Newly Diagnosed Youth With Type 1 Diabetes: 4T Exercise Program
Anchors: High-Precision Model-Agnostic Explanations
TVM: an automated end-to-end optimizing compiler for deep learning
"Why Should I Trust You?"
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
The Swarm at the Edge of the Cloud
GraphGen: An FPGA Framework for Vertex-Centric Graph Computation
PowerGraph: distributed graph-parallel computation on natural graphs
RI: Small: GraphLab 2: An Abstraction and System for Large-Scale Parallel Machine Learning on Natural Graphs
RI: Small: GraphLab 2: An Abstraction and System for Large-Scale Parallel Machine Learning on Natural Graphs
NGNI-Medium: Collaborative Research: MUNDO: Managing Uncertainty in Networks with Declarative Overlays
NGNI-Medium: Collaborative Research: MUNDO: Managing Uncertainty in Networks with Declarative Overlays
Collaborative Research: NeTS-NBD: SCAN: Statistical Collaborative Analysis of Networks
CAREER: Thinking that is "just right": Query-Specific Probabilistic Reasoning and its Application to Large-Scale Sensor Networks
NeTS-NOSS: SNI: A General and Robust Networking Architecture for Distributed Data Processing in Sensor Networks
CSR-EHS: Collaborative Research: A General, Efficient and Robust Platform for Enabling Control Applications in Sensor Networks