Rodica Neamtu

Computer Science

Associate Professor of Teaching

Affiliated Department or Office:

Computer Science

Data Science

Neuroscience

Co-Director WPI Bucharest Project Center

TA Coordinator

Education:

PhD Computer Science Worcester Polytechnic Institute, 2017

I am a data mining researcher who investigates how to develop and leverage ground-breaking techniques to explore time series datasets at the confluence of theoretical computer science and application domains like medicine, neuroscience, economics, transportation, and complex decision making. With more than fifteen years of teaching experience in various academic institutions, I am committed to use my love and talent for teaching and research to empower others through education to make a difference in the world.

Co-directing a project center in Romania allows me to contribute to building a strong connection between the two cultures that I am deeply anchored in. I am committed to help our students explore other cultures, understand the issues that they are facing, and become part of impactful initiatives to mitigate them. Advising project teams is one of the most engaging and rewarding aspects of my work.

rneamtu@wpi.edu

Office Location

Fuller Labs FL129

Contact

Phone:

+1 (508) 8316802

The Teaching Tenure Path

Reflections on my teaching and research

ResearchGate

Research Lab

Data Driven Materials Science Collaborative Research

Provost's MQP Award 2020 - Alternative Augmentative Communication for People with Disabilities

Provost's MQP Award 2020 - Anomaly Detection in Time Series Data Generated by Functional Near-Infrared Spectroscopy

Schloss Dagstuhl

Women Interdisciplinary Scholarship Engagement Network (WISE)

Database Systems Research Group (DSRG)

Interactive Exploration of Time Series

Computing Research Association Testimonials

INTERDISCIPLINARY GROUPS

BioPoint

Research Interests

Research Interests:

Data Driven Materials Science Collaborative

Data Mining, Big Data, Time Series Analytics, Machine Learning

Interactive Exploration of time series

Brain Waves Analytics -- using data mining and machine learning to interpret brain waves - collaborative work with Erin Solovey

Alternative Augmentative Communication for people with disabilities - collaborative work with LIVOX

Using Machine Learning for Exploratory and Predictive Financial Tools collaborative work with Vestigo Ventures

Scholarly Work

R. Neamtu, R. Ahsan, C. D. T. Nguyen, C. Lovering, E. A. Rundensteiner and G. Sarkozy, "A General Approach For Supporting Time Series Matching using Multiple-Warped Distances," in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2020.2998002. - 2020

R Valente, A Ostapenko, B Sousa, J Grubbs, C Massar, D Cote, and R Neamtu. Classifying Powder Flowability for Cold Spray Additive Manufacturing Using Machine Learning. In Proceedings of the 2nd International Workshop on Big Data Tools, Methods, and Use Cases for Innovative Scientific Discovery, IEEE BigData Conference, December 2020. - 2020

R Ahsan, R Neamtu, M Bashir, E Rundensteiner, G Sarkozy Correlation-Based Analytics of Time Series Data. In Proceedings of the 6th Special Session on Intelligent Data Mining, IEEE Big Data Conference, Dec 2020. - 2020

Alissa Ostapenko, Rodica Neamtu, Frazer Anderson. A Versatile, Low-Resource Approach to Financial Website Classification. In Proceedings of 3rd International IEEE Workshop on Big Data for Financial News and Data collocated with IEEE Big Data Conference. Los Angeles, December 2019. - 2019

Ramoza Ahsan, Muzammil Bashir, Rodica Neamtu, Elke Rundensteiner, Gabor Sarkozy. Nearest Neighbor Subsequence Search in Time Series Data. In Proceedings of IEEE Big Data Conference, Los Angeles, December 2019. - 2019

Rodica Neamtu, Andre Camara, Carlos Pereira, Rafael Ferreira "Using Artificial Intelligence for Augmentative Alternative Communication for Children with Disabilities". In International Conference on Human Computer Interaction (INTERACT2019), September 2-6, 2019, Paphos Cyprus. - 2019

Professional Affiliations

Professional Affiliations:

ACM Association for Computing Machinery

CRA Computing Research Association

IEEE

WPI Women's Impact Network

Professional Highlights & Honors

Professional Highlights & Honors:

o Design and Synthesis of Materials for Agile Manufacturing Funding Agency and Grant Number: U.S. Army Research Laboratory W911-NF-19-2-0108 (Co-PI)

2020

Women's Impact Network Grant Award - WISE Fellowship: Women's Interdisciplinary Scholarship Engagement

2021

Women's Impact Network Grant Award - Taking Collaboration Among Women to the Next Level

2020

https://www.wpi.edu/give/impact/appreciation/lifetime-giving-societies/womens-impact-network/win-impact-grants

Women's Impact Network Grant Award - Fostering Collaboration in Teaching, Research, and Entrepreneurship among Faculty, Students, and Alumnae

2019

https://www.wpi.edu/news/announcements/women-s-impact-network-announces-2019-grant-recipients

News

SEE MORE NEWS ABOUT RODICA NEAMTU

WPI Appoints 15 Teaching Faculty Members to New Tenure Track

September 14, 2021

Students in Bucharest Project Center Reflect on Their Global Impact

June 22, 2020

Students Present Global Projects Remotely; Goals, Impact Are Anything but Remote

May 11, 2020

Students from the Bucharest, Romania Project Center share Romanian dishes they prepared for lunch.

Students Explore Sights, Smells, History, and Art of Romania…Remotely

April 17, 2020

Media Coverage

SEE ALL MEDIA COVERAGE

Worcester Magazine

WPI students help Audio Journal listeners connect by developing first phone app

Rodica Neamtu, associate teaching professor of computer science, was quoted in a Worcester Magazine article on her students developing an iOS phone app for Worcester-based nonprofit Audio Journal. “I realized that this was going to be something bigger than creating a nice app,” Neamtu said, referring to the project the students did as part of their Major Qualifying Project (MQP).