Research
Advancing data systems and analytics that enable scalable insights, intelligent applications, and scientific discovery.
Graph-structured data appears frequently in domains including chemistry, natural language semantics, social networks, and knowledge bases. In this work, we study feature learning techniques for graph-structured inputs. Our starting point is previous work on Graph…
Many of today’s popular computing applications require real-time analytics over large and dynamic datasets, from social web applications to online data warehousing, network monitoring, and algorithmic trading. These applications have long-lived analysis queries that require…
Advanced analytics — the analysis of large and complex data using machine learning (ML) — is becoming ubiquitous, with a growing demand for advanced analytics tools in the enterprise domains. However, there exist several challenging…
Conventional wisdom says good things come in threes. Recently I reflected on the research I’ve conducted over my career to date and selected my three favorite results, which I will cover in this talk. For…
Nobody likes a delay at the airport. Many of us have spent time buckled up, ready for takeoff, wondering why our plane is stuck on its way between the gate and the runway. Scientists in…
As our lives become increasingly conducted online, the growth rate of data recording our daily activities has exploded. These records, which range from the details of our online social engagements to the graphs gathered by…
There is large potential in designing intelligent and self-sustainable crowd-powered systems that incentivize and empower their users to actively engage them in the system processes. This talk explores various research questions at the interplay of…
