Arti Ramesh
ASSISTANT PROFESSOR, BINGHAMTON UNIVERSITY | ARTIR @ BINGHAMTON . EDU

RESEARCH INTERESTS


My research touches many sub-areas in machine learning, learning analytics, and natural language processing. 

Machine Learning: graphical models, statistical relational learning, structured prediction, latent variable models for heterogeneous graph data, generative methods for modeling socio-behavioral interactions

Learning Analytics: behavior modeling in online courses, text mining of online course discussion forums

Natural Language Processing: sentiment analysis, aspect-specific sentiment analysis, topic models


PUBLICATIONS


Also see publications on

Raphael Luciano de Pontes, Aditya Mishra, Anand Seetharam, and Arti Ramesh
GreenPeaks: Employing Renewables to Effectively Cut Load in Electric Grids
SMARTCOMP, 2018



@article{luciano-smartcomp18,
title = "GreenPeaks: Employing Renewables to Effectively Cut Load in Electric Grids",
author = "Raphael Luciano de Pontes, Aditya Mishra, Anand Seetharam, and Arti Ramesh",
booktitle = "Proceedings of the IEEE International Conference on Smart Computing (SMARTCOMP)",
year = "2018"
}



Arpita Chakraborty, Yue Zhang, and Arti Ramesh
Understanding Types of Cyberbullying in an Anonymous Messaging Application
WWW Cybersafety Workshop, 2018



@article{chakraborty-cybersafety18,
title = "Understanding Types of Cyberbullying in an Anonymous Messaging Application ",
author = "Arpita Chakraborty, Yue Zhang, Arti Ramesh",
booktitle = "Proceedings of the WWW Cybersafety Workshop",
year = "2018"
}



Yue Zhang, Arti Ramesh, Jennifer Golbeck, Dhanya Sridhar, and Lise Getoor
A Structured Approach to Understanding Recovery and Relapse in AA
International World Wide Web Conference (WWW), 2018
[acceptance rate = 14.8%]



@article{zhang-www18,
title = "A Structured Approach to Understanding Recovery and Relapse in AA",
author = "Yue Zhang, Arti Ramesh, Jennifer Golbeck, Dhanya Sridhar, and Lise Getoor",
booktitle = "Proceedings of the Web Conference (WWW)",
year = "2018"
}



Anand Seetharam and Arti Ramesh
On the Goodput of Flows in Heterogeneous Mobile Networks
Elsevier Computer Networks, 2017



@article{seetharam:comnet18,
title = "On the goodput of flows in heterogeneous mobile networks ",
author = "Anand Seetharam and Arti Ramesh",
journal = "Computer Networks ",
volume = "130",
pages = "134 - 144",
year = "2018"
}



Arti Ramesh, Mario Rodriguez, Lise Getoor
Multi-relational Influence Models for Online Professional Networks
Web Intelligence, 2017



@inproceedings{ramesh:wi17,
author = {Ramesh, Arti and Rodriguez, Mario and Getoor, Lise},
title = {Multi-relational Influence Models for Online Professional Networks},
booktitle = {Proceedings of the International Conference on Web Intelligence},
series = {WI '17},
year = {2017}
}



Sabina Tomkins, Arti Ramesh, Lise Getoor
Predicting Post-Test Performance from Online Student Behavior: A High School MOOC Case Study
International Conference on Educational Data Mining (EDM), 2016
[oral presentation, acceptance rate = 27%]



@InProceedings{tomkins:edm16,
author = "Tomkins, Sabina and Ramesh, Arti and Getoor, Lise",
title = "Predicting Post-Test Performance from Online Student Behavior: A High School MOOC Case Study",
booktitle = "International Conference on Educational Data Mining (EDM)",
year = "2016",
keywords = "online education, high school MOOCs, student learning",
}



Arti Ramesh, Mario Rodriguez, Lise Getoor
Understanding Influence in Online Professional Networks
NIPS Workshop on Networks in Social and Information Sciences, 2015



@InProceedings{ramesh:nipsws15,
author = "Ramesh, Arti and Rodriguez, Mario and Getoor, Lise",
title = "Understanding Influence in Online Professional Networks",
booktitle = "NIPS Workshop on Networks in Social and Information Sciences",
year = "2015",
keywords = "influence, social networks, professional networks, HL-MRFs",
}



Arti Ramesh, Shachi H. Kumar, James Foulds, Lise Getoor
Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums
53rd Annual meeting of Association of Computational Linguistics (ACL)
[oral presentation, acceptance rate = 25%]



@InProceedings{ramesh:acl15,
author = "Ramesh, Arti and Kumar, Shachi and Foulds, James and Getoor, Lise",
title = "Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums",
booktitle = "53rd Annual Meeting of the Association for Computational Linguistics (ACL)",
year = "2015",
keywords = "MOOCs, Discussion Forums, SRL, HL-MRFs, Online Courses",
}



Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume III, Lise Getoor
Understanding Student Engagement using Latent Variable Methods
Learning with MOOCs: A Practitioner's Workshop
(extended abstract, selected for panel discussion)



Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume III, Lise Getoor
Learning Latent Engagement Patterns of Students in Online Courses
28th AAAI Conference on Artificial Intelligence (AAAI), 2014
[oral presentation, acceptance rate = 28%]





@InProceedings{ramesh:aaai14,
author = "Ramesh, Arti and Goldwasser, Dan and Huang, Bert and Daume III, Hal and Getoor, Lise",
title = "Learning Latent Engagement Patterns of Students in Online Courses ",
booktitle = "Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence",
year = "2014",
publisher = "AAAI Press",
keywords = "MOOC, learner engagement, probabilistic modeling, structured prediction",
}

Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume III and Lise Getoor
Understanding MOOC Discussion Forums using Seeded LDA
9th ACL Workshop on Innovative Use of NLP for Building Educational Applications (BEA), 2014
[oral presentation, acceptance rate = 25%]





@InProceedings{ramesh:aclws14,
author = "Ramesh, Arti and Goldwasser, Dan and Huang, Bert and Daume III, Hal and Getoor, Lise",
title = "Understanding MOOC Discussion Forums using Seeded LDA",
booktitle = "9th ACL Workshop on Innovative Use of NLP for Building Educational Applications",
year = "2014",
publisher = "ACL",
keywords = "MOOC Discussion Forums, LDA, Seeded LDA, Structured Prediction",
}



Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume III and Lise Getoor
Uncovering Hidden Engagement Patterns for Predicting Learner Performance in MOOCs
ACM Conference on Learning at Scale (L@S'14), 2014





@InProceedings{ramesh:las13,
author = "Ramesh, Arti and Goldwasser, Dan and Huang, Bert and Daume III, Hal and Getoor, Lise",
title = "Uncovering Hidden Engagement Patterns for Predicting Learner Performance in MOOCs",
booktitle = "ACM Conference on Learning at Scale",
series = "Annual Conference Series",
year = "2014",
publisher = "ACM Press",
organization = "ACM",
keywords = "MOOC, online education, learner engagement, learning analytics, probabilistic modeling, structured prediction",
s}



Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III and Lise Getoor
Modeling Learner Engagement in MOOCs using Probabilistic Soft Logic
NIPS Workshop on Data Driven Education (NIPS), 2013





@InProceedings{ramesh:nipsws13,
author = "Ramesh, Arti and Goldwasser, Dan and Huang, Bert and Daume III, Hal and Getoor, Lise",
title = "Modeling Learner Engagement in MOOCs using Probabilistic Soft Logic",
booktitle = "NIPS Workshop on Data Driven Education",
year = "2013",
note = "To reference this work, please cite the AAAI 2014 version: ramesh-aaai14.",
}



Arti Ramesh, Jaebong Yoo, Lise Getoor and Jihie Kim
User Role Prediction in Online Discussion Forums using Probabilistic Soft Logic
NIPS Workshop on Personalizing Education with Machine Learning (NIPS), 2013




Talks



University of Maryland Baltimore County, March 2016
A Probabilistic Approach to Modeling Socio-Behavioral Interactions

State University of New York Binghamton, March 2016
A Probabilistic Approach to Modeling Socio-Behavioral Interactions

Lehigh University, February 2016
A Probabilistic Approach to Modeling Socio-Behavioral Interactions

Florida International University, February 2016
A Probabilistic Approach to Modeling Socio-Behavioral Interactions

Seattle University, January 2016
A Probabilistic Approach to Modeling Socio-Behavioral Interactions

AAAI Conference on Artificial Intelligence, Quebec City, 2014
Learning Latent Engagement Patterns of students in Online Courses

ACL Workshop on Innovative use of NLP for Building Educational Applications, 2014
Understanding MOOC Discussion Forums using Seeded LDA