I am a PhD student in computer science at Arizona State University (ASU) working with Prof. Subbarao Kambhampati. In the past, I have worked as a research intern at Microsoft Research (Summer 2012 and 2013) and Avaya Labs (Summer 2011).
My broad area of interest comprises social computing -- an emerging area that lies at the interaction of machine learning, social science and human computer interaction. Broadly speaking, I am motivated by how the availability of massive online social data, coupled with computational methods can help address societal problems such as the lack of civic engagement and situation awareness in both local and online communities. Specifically, my interdisciplinary work has focused on computational approaches for modeling, understanding and predicting large-scale, time-varying online social behavior, with applications in event analytics, linguistic analysis, civic and community engagement, and healthcare.
In my current research, I am investigating how online social activities can be harnessed for better event understanding and user engagement, particularly in being able to detect and model breaking events, predict the growth of events and foster users' engagement in events.
My research has awarded a Best Paper nomination at CHI-13 (the most prestigious conference in computer-human interaction), led to a working system Whoo.ly (http://whooly.net) used by thousands of people, and filed two patents (both granted).
Most recently, my work on event analysis of 2012 Presidential debate attracted attention from Michael Crow -- the president of ASU, and I was honored to receive a congratulation letter from him.
News and Highlights
|10/2013:||I received a congratulation letter on my research from Michael Crow -- the president of ASU.|
|09/2013:||Our work on event analysis of 2012 Presidential debate were featured in ASU news and PBS Horizon show|
|08/2013:||My work on Whoo.ly was featured in The Seattle Times, FastCompany, Computer Magazine and Neowin and more.|
|08/2013:||Paper accepted in HComp 2013: "Herding the Crowd: Automated Planning for Crowdsourced Planning."|
|06/2013:||Start my second internship at Microsoft Research.|
|03/2013:||Paper accepted in IJCAI 2013: "Listen to the Crowd: Automated Analysis of Events via Aggregated Twitter Sentiment." This paper presents a matrix factorization framework which automatically characterizs an event's segments and topics in terms of the aggregate sentiments elicited on Twitter. IJCAI 2013 will be held in Aug'13 at Beijing, China.|
|03/2013:||Paper accepted in ICWSM 2013: "Dude, srsly?: The Surprisingly Formal Nature of Twitter's Language." This is the first study on the formalness of Twitter's language in comparison to other mediums like email, blogs and newspaper. ICWSM 2013 will be held at Boston in July of this year.|
|02/2013:||Our CHI 2013 paper "Whoo.ly: Facilitating Information Seeking For Hyperlocal Communities Using Social Media." got the Best Paper Honorable Mention.|
|01/2013:||I was invited to be on the comittee of ICWSM, IJCAI and ACM Multimedia this year.|
|11/2012:||Paper accepted in CHI 2013: "Whoo.ly: Facilitating Information Seeking For Hyperlocal Communities Using Social Media." This paper presents and evluates the Whoo.ly system which automatically extracts and summarizes hyperlocal information about events, topics, people, and places from Twitter posts. CHI-13 will be held in May 2013 at Paris, France.|
|05/2012:||Start my internship with Microsoft Research.|
|03/2012:||Paper accepted in AAAI 2012: "ET-LDA: Joint Topic Modeling for Aligning Events and their Twitter Feedback". This paper presents a joint Bayesian model that performs topic modeling and event segmentation in one uniﬁed framework. AAAI-12 will be held in July 2012 at Toronto.|
|02/2012:||Paper accepted in ICWSM 2012: "What were the Tweets about? Topical Associations between Public Events and Twitter Feeds." This paper reveasl the nature and magnitude of the inﬂuences of the event on the corrsponding tweets over its timeline. ICWSM-12 will be held in June 2012 at Dublin, Ireland.|
|05/2011:||Start my internship with Avaya Labs.|