Education
BS/MS Computer Science and Electrical Engineering. University of Craiova, Craiova, Romania, 1991
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 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.

I am the Principal Investigator of a 2.5 million dollars NSF S-STEM grant aiming to support Pell-grant students who have an interest in studying computer science, by awarding them up to 15,000 dollars every year for their 4-year undergraduate education at WPI, in addition to offering a wide array of opportunities towards Creating a Path to Achieving Success and a Sense of Belonging in Computer Science.

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:

2022 Automatizing Inspection and Defect Detection for Metal Additive Manufacturing Using Deep Learning Techniques

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 projects advised by Professor Neamtu.

Sustainable Development Goals

SDG 3: Good Health & Well-Being

SDG 3: Good Health & Well-Being - Ensure healthy lives and promote well-being for all at all ages

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SDG 4: Quality Education

SDG 4: Quality Education - Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all

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SDG 5: Gender Equality

SDG 5: Gender Equality - Achieve gender equality and empower all women and girls

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SDG 6: Clean Water and Sanitation

SDG 6: Clean Water and Sanitation - Ensure availability and sustainable management of water and sanitation for all

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SDG 7: Affordable and Clean Energy

SDG 7: Affordable and Clean Energy - Ensure access to affordable, reliable, sustainable and modern energy for all

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SDG 11: Sustainable Cities and Communities

SDG 11: Sustainable Cities and Communities - Make cities and human settlements inclusive, safe, resilient and sustainable

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SDG 13: Climate Action

SDG 13: Climate Action - Take urgent action to combat climate change and its impacts

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Scholarly Work

Professor Neamtu has published extensively on Data Driven Materials Science, Brain Computer Interaction, and Data Series analytics, among others.

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: Alicia Howell-Munson, Christopher Micheck, Erin Solovey, Rodica Neamtu (2022). BrainEx: Interactive Visual Exploration and Discovery of Sequence Similarity in Brain Signals. In Proceedings of ACM SIGCHI Symposium on Engineering Interactive Computer Systems (EICS PACM 2022). (doi.acm.org?doi=3534516)

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 Highlights & Honors
PI for S-STEM Creating a Path to Achieving Success and Sense of Belonging in Computer Science Grant, 2024 - 2029
NSF
Cold Spray Development Project – Grant from ALMMII - American Lightweight Materials Manufacturing Innovation Institute (ONR), 2022

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

Women's Impact Network Grant Award - Fostering Collaboration in Teaching, Research, and Entrepreneurship among Faculty, Students, and Alumnae, 2019

News

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