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 using my love and talent for teaching and research to empower others through education to make a difference in the world . I am one of the first WPI faculty to be recognized with tenure and promotion through WPI’s new tenure track for teachers.
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.
In line with my commitment to broadening participation in computer science in general and AI in particular, I participated in the CRA, Women and Education Chapters, am a co-founder of the Women Interdisciplinary Scholarship Engagement Network (WISE), and am currently leading efforts to expand diversity and inclusion through the introduction of the AI4ALL program at WPI starting in Fall 2022.
Provost's MQP Award Winning Projects:
2020 Enhanced Augmentative and Alternative Communication For People With Disabilities Using AI and NLP
2020 Anomaly Detection in Time Series Brain Data Collected Using Functional Near-Infrared Spectroscopy
Honorable Mention:
2022 UNiT: a Universal Toolkit for Nanoindentation Exploration
2021 BrainEx: Visual Exploration and Discovery in Time Series Data
Visit Digital WPI to see all student project advised by Professor Neamtu.
Sustainable Development Goals
Research Interests
Scholarly Work
Featured works:
Data Driven Materials Science: Stephen Price, Matthew Gleason, Bryer Sousa, Danielle Cote, Rodica Neamtu (2021). Automated and Refined Application of Convolutional Neural Network Modeling to Metallic Powder Particle Satellite Detection . In Integrating Materials and Manufacturing Innovation Journal (pp. 661-676) Publisher Springer International. https://doi.org/10.1007/s40192-021-00240-5
Brain Computer Interaction: Dubey, J., Sumaria, M., Oktay, E., Li, Y., Li, Z., Neamtu, R., Solovey, E.T. (2019, July 16-18). Towards neuroadaptive technology using time warped distances for similarity exploration of brain data. [Paper presentation]. Neuroadaptive Technology Conference (NAT 2019), Liverpool, UK.
Data Series Analytics: Neamtu, R., Ahsan, R., Nguyen, C. D. T., Lovering, C., Rundensteiner, E. A., & Sarkozy, G. (2020). A General Approach For Supporting Time Series Matching using Multiple-Warped Distances. IEEE Transactions on Knowledge and Data Engineering, 34(4), 1516-1529. doi: 10.1109/TKDE.2020.2998002
Applications for accessibility: Neamtu, R., Camara, A., Pereira, C., Ferreira R. (2019, Sept 2-6). Using Artificial Intelligence for Augmentative Alternative Communication for Children with Disabilities. [Conference paper]. In International Conference on Human Computer Interaction (INTERACT2019). (pp. 234-243) Paphos Cyprus.
Professional Affiliations
Professional Highlights & Honors
News
Media Coverage
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).