AI Professor and Amazon Scholar, in the Department of Electrical and Computer Engineering and by courtesy in the Department of Computer Science. Research interests include Resource-Constrained Learning, Efficient Training and Inference, Federated Training for Heterogenous Devices and Data, Budgeted Learning, Test-time Feature Acquisition Costs, Hybrid Inference, IoT/Cloud models, Selective Classification, Learning with Limited Supervision, In-Context Learning, Meta-Learning, Contextual Reinforcement Learning, Open Set Recognition, Zero-Shot Learning, Few-Shot Learning, Cross-Modal Transfer, AI and Society, Mitigating Bias in Machine-Learned Representations, Learning and Estimation on Graphs and Networks, Subgraph Anomaly Detection, Community and Network Change Detection.