Assistant Professor
Computer Science, SUNY Binghamton
Email: artir@binghamton.edu
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.

Online Education Initiatives

I am passionate about online education and making accessible computer science educational content. I have started an educational initiative, CSEdu4All, along with Prof. Anand Seetharam. At CSEdu4All , we aim to make computer science educational content easily accessible to people (i.e., students, professionals, computer science enthusiasts) around the world. We believe that everyone has the right to good education, and geographical and political boundaries should not be a barrier to obtaining knowledge and information. Please visit CSEdu4All.org for free online courses and lecture videos.

I also maintain a YouTube channel that I update regularly with computer science teaching and research videos. I have a playlist for the Introduction to Machine Learning course, which contains the video lectures for the course.

I plan to continuously work on creating more educational content and expanding the initiative, so please check back regularly!

Data Science Blog

I write and maintain a blog on data science, Data Science Station, which provides an accessible introduction to many of our research papers and insights on data science. Check it out here. This is a recent and ever-expanding initiative, so please check back regularly for recent articles!

COVID-19 Research

Our group has been conducting research on different aspects of COVID-19 and its impact on human lives. Check it out here.

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!

News

December 2020

Our paper on predicting non-emergency response time has been accepted for publication in Journal of Pervasive and Mobile Computing!

December 2020

Our DeepER project is in the news!!! It was covered by Bing News, WBNG, Voice of America, and Government Computer News!!!

October 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 understanding the societal impact of COVID-19 has been accepted to AI for Social Good Workshop. Check out our paper here. Check out the NEWS coverage here.

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.

... see all News