Nandini Ramanan

AI/ML Researcher

PhD in Computer science (Ongoing)

Email:

Nandini.Ramanan@utdallas.edu 

 

Address:

Statistical Relational Learning Lab at UT Dallas

Erik Jonsson School of Engineering and Computer Science

Website

Directions

Resume

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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 

HOBBIES