Computer Science, SUNY Binghamton
Office: Engineering Building, N-04
Phone: (607) 777-4829
I am an assistant professor in the Computer Science department at SUNY-Binghamton. I obtained my PhD from University of Maryland, College Park in 2016. I am broadly interested in machine learning, data mining, and natural language processing. My research interests include structured prediction, statistical relational modeling, natural language processing, probabilistic modeling. My research focuses on structured prediction problems involving rich, complex, interlinked, heterogeneous data in online networks.
I direct the Machine Learning Research Group at Binghamton University.
For more information on ongoing research projects, please visit the group website.
I am looking for motivated Undergraduate, Masters, and PhD students to work on Machine Learning and Natural Language Processing. Please contact me if you are interested in working with me!
Our paper on predicting non-emergency response time has been accepted for publication in Journal of Pervasive and Mobile Computing!December 2020
Our paper on characterizing mobility patterns during COVID-19 using cellular network data is now on Arxiv!!October 2020
Our paper on analyzing societal impact during the early days of the COVID-19 pandemic got accepted to SocialCom 2020!!October 2020
Our paper on wireless channel quality prediction using sparse Gaussian conditional random fields got accepted to Consumer Communications and Networking Conference (CCNC)!September 2020
My PhD student Gissella Bejarano passes her PhD prospectus with flying colors!! Congratulations, Gissella!!September 2020
Our paper on predicting emergency resolution time using deep learning has been accepted for publication at IEEE CPSCom!September 2020
Our paper on a structured and linguistic approach to understanding recovery and relapse in AA has been accepted for publication in ACM Transactions on the Web (TWEB)!July 2020
Our research on designing ensemble regression models for predicting confirmed COVID-19 cases has been accepted to AI for Social Good Workshop. Check out the NEWS coverage here.