Research Areas:

  • AI and Machine learning: Kernel Learning, Multiview Learning, Robust Optimization and Convex Optimization for Large Data, Anomaly Detection in Time Series, Privacy-aware Learning, Bayesian Model.
  • Systems for AI: Computer Vision, Architecture for Deep Learning, Energy-efficient and High-performance Systems for Multimedia Applications, Energy-aware Algorithms for Signal Processing to efficient architecture design,  Low-power VLSI circuit implementation.
  • Information Retrieval and Natural Language Processing: Harvesting Knowledge from Text and Web Tables; Knowledge Base Curation,  Question-Answering, Building Smart Indices for Efficient Similarity Search.
  • Information Theory and Statistics: Statistical Learning and Inference, Federated Learning, Mathematical Statistics.