Mario Nascimento
Professor of the Practice, Director of Pacific Northwest Research
Research interests
- Spatiotemporal databases
Education
- PhD in Computer Science, Southern Methodist University
- MS in Electrical Engineering, State University of Campinas — Brazil
- BS in Applied Mathematics, State University of Campinas — Brazil
Biography
Mario Nascimento is a professor of the practice and the director of Pacific Northwest Research in the Khoury College of Computer Sciences at Northeastern University, based in Vancouver.
Nascimento researches data science, specifically spatiotemporal databases. Prior to joining Northeastern, he was a faculty member with the University of Alberta's Department of Computing Science for more than 20 years (including six as the department's chair), a researcher with the Brazilian Agency for Agricultural Research, and an adjunct faculty member at the University of Campinas. Nascimento has also been a visiting professor at the National University of Singapore, Aalborg University in Denmark, LMU’s Institute for Informatics in Germany, and the Federal University of Ceara in Brazil.
Recent publications
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An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains
Citation: Arthur Elwing Torres, Edleno Silva de Moura, Altigran Soares da Silva, Mario A. Nascimento, Filipe de Sá Mesquita. (2024). An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains CoRR, abs/2411.14551. https://doi.org/10.48550/arXiv.2411.14551 -
Effective Trajectory Imputation using Simple Probabilistic Language Models
Citation: Hayat Sultan Mohammed, Mario A. Nascimento, Denilson Barbosa . (2024). Effective Trajectory Imputation using Simple Probabilistic Language Models MDM, 51-60. https://doi.org/10.1109/MDM61037.2024.00027 -
Mobility Data Science: Perspectives and Challenges
Citation: Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong , Andreas Züfle, Jussara M. Almeida, Taylor Anderson , Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao , Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Seok Kim , Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy , Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Cyrus Shahabi, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner , Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef , Demetris Zeinalipour, Mengxuan Zhang , Esteban Zimányi. (2024). Mobility Data Science: Perspectives and Challenges ACM Trans. Spatial Algorithms Syst., 10, 10. https://doi.org/10.1145/3652158 -
Conference Report: The 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022) Seattle, Washington, USA November 1-4, 2022
Citation: Matthias Renz, Mohamed Sarwat, Mario A. Nascimento, Shashi Shekar, Xing Xie . (2022). Conference Report: The 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022) Seattle, Washington, USA November 1-4, 2022 ACM SIGSPATIAL Special, 14, 2-6. https://doi.org/10.1145/3632268.3632270 -
Towards Mobility Data Science (Vision Paper)
Citation: Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong , Andreas Züfle, Jussara M. Almeida, Taylor Anderson , Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao , Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy , Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner , Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef , Demetris Zeinalipour, Mengxuan Zhang , Esteban Zimányi. (2023). Towards Mobility Data Science (Vision Paper) CoRR, abs/2307.05717. https://doi.org/10.48550/arXiv.2307.05717 -
Asymmetric Action Abstractions for Planning in Real-Time Strategy Games
Citation: Rubens O. Moraes, Mario A. Nascimento, Levi H. S. Lelis. (2022). Asymmetric Action Abstractions for Planning in Real-Time Strategy Games J. Artif. Intell. Res., 75, 1103-1137. https://doi.org/10.1613/jair.1.13769 -
BikeVibes: An app for crowdsourcing open road quality data from a cyclist perspective
Citation: Kai Luedemann, Mario A. Nascimento. (2022). BikeVibes: An app for crowdsourcing open road quality data from a cyclist perspective IWCTS@SIGSPATIAL, 8:1-8:4. https://doi.org/10.1145/3557991.3567779 -
Mobility Data Science (Dagstuhl Seminar 22021)
Citation: Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong , Andreas Züfle, Jussara M. Almeida, Taylor Anderson , Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao , Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy , Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner , Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef , Demetris Zeinalipour, Mengxuan Zhang , Esteban Zimányi. (2022). Mobility Data Science (Dagstuhl Seminar 22021) Dagstuhl Reports, 12, 1-34. https://doi.org/10.4230/DagRep.12.1.1