Arjun’s addition enhances the department’s growing research strength in data sciences and big-data analytics. His research spans areas such as Bayesian inference, statistical data mining, machine learning, natural language processing, and social and information sciences with a particular emphasis on solving big-data problems in social media and on the web.

His works have addressed a wide variety of social computing problems including (1) modeling opinion spam, deception and user behaviors; (2) fine-grained sentiment analysis; (3) modeling social conversations; and (4) knowledge induction in graphical models for aspect extraction.