Hello!
I am a Computer Science PhD student (Machine Learning as concentration) working with
Professor Sriraam Natarajan at StaRLing Lab, UTD.
In StaRLing, our aim is to bridge the gap between the ML community and practical application domains.
My research interest lay in the analysis, design, and development of interpretable predictive models using real-world data and available expert knowledge.
​
Research Interests: Probabilistic Graphical Models, Causal Models, Statistical Relational Learning, AI & ML and their adaptation to real problems.
EDUCATION
2016-ongoing
Doctorate Degree
DEGREE: Doctor of Philosophy (Ongoing)
MAJOR: Computer Science
GPA: 3:77/4
SCHOOL: The University of Texas at Dallas, TX,USA
2015-2018
Master's Degree
DEGREE: Master of Science
MAJOR: Informatics
GPA: 3:76/4
SCHOOL: Indiana University, Bloomington, IN,USA
2009-2013
Bachelor's Degree
DEGREE: Bachelor of Technology
MAJOR: Computer Science and Engineering
GPA: 3:8/4
SCHOOL: Amrita School of Engineering, Coimbatore, TN, India
EXPERIENCE
Sep 2019 - Ongoing
Research Assistant
The University of Texas at Dallas
Project: Effective Learning of Tractable Probabilistic Models
May 2019 - Aug 2019
Data Science Intern
Palo Alto Networks, Santa Clara, CA
​Project: Early prediction and prevention of malicious cyber activities
Aug 2018 - April 2019
Research Assistant
The University of Texas at Dallas
Project: Effective Learning of Tractable Probabilistic Models
May 2016 - Jul 2018
Research Assistant
Indiana University
Project: Precision Health Initiative (PHI) Focus
Jan 2016 - April 2016
Teaching Assistant
Indiana University
Associate Instructor for undergraduate students in Computer Science for the course theory and lab for Object-Oriented Programming ​
Jun 2013 - Jun 2015
Quality Assurance Engineer
Atlas Development Corporations, India
Took care of Implementation regarding the Design, Import/Export and Rendering of Customized User-defined forms in WorldCare,
An Atlas Public Health product, on Microsoft's .NET platform using Silverlight, XML, Web Services, and SOAP.
PUBLICATIONS
​
Causal Learning from Predictive Modeling for Observational Data
Nandini Ramanan and Sriraam Natarajan, Frontiers in Big Data, Machine Learning & Artificial Intelligence, 2020.
​
Discriminative Non-Parametric Learning of Arithmetic Circuits.
Nandini Ramanan, Mayukh Das. Kristian Kersting, and Sriraam Natarajan, PGM, 2020.
​
Interactive Transfer Learning in Relational Domains,
Raksha Kumaraswamy, Nandini Ramanan, Phillip Odom and Sriraam Natarajan, KUIN Springer Journal, 2020.
One-Shot Induction of Generalized Logical Concepts via Human Guidance,
Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa and Sriraam Natarajan, STARAI, 2020.
​
Discriminative Non-Parametric Learning of Arithmetic Circuits,
Nandini Ramanan, Mayukh Das. Kristian Kersting, and Sriraam Natarajan, ICML Workshop on Tractable Probabilistic Models, 2019.
​
​
​
Structure Learning for Relational Logistic Regression: An Ensemble Approach,
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting and Sriraam Natarajan, International Conference on Principles of Knowledge Representation and Reasoning, 2018.
​
On Whom Should I Perform the Lab Test on Next? An Active Feature Elicitation Approach,
Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli and Predrag Radivojac, International Joint Conference on Artificial Intelligence, 2018.
​
​
​
​
Discriminative Boosted Bayes Networks for Learning MultipleCardiovascular Procedures,
Nandini Ramanan, Shuo Yang, Shaun Grannis, and Sriraam Natarajan, International Conference on Bioinformatics and Biomedicine, 2017.
Boosting for Postpartum Depression Prediction,
Sriraam Natarajan, Annu Sible Prabhakar, Nandini Ramanan, Anna Bagilone, Katie A. Siek and Kay Connelly, ACM IEEE CHASE, 2017.
​
2017
2018
2019
2020
TECHNICAL SKILLS
Python
OCaml
KNIME
Java
Scikit-Learn
Tableau
SERVICES
Assistant Electronic Publishing Editor of
Journal of Artificial Intelligence Research 2018 - 2020
Reviewer of
SIAM International Conference on Data Mining 2020
Student Volunteer of
16th International Conference on Knowledge Representation and Reasoning 2018
Proceedings Chair of
SIAM International Conference on Data Mining 2020
Reviewer of
ACM India Joint International Conference on Data Science & Management of Data 2020
Student Volunteer of
16th International Conference on Knowledge Representation and Reasoning 2018
Mentor of
2 students as part of REU funded by the NSF in Proactive Health Informatics 2017
Super Volunteer of
14th Women in Machine Learning Workshop 2019
