symp symp

Dr. Amilcar Soares is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland. Prior to joining MUN he was a research associate at the Institute for Big Data Analytics and an Adjunct Professor at Dalhousie University. His research interests include spatiotemporal data enrichment, segmentation, classification, clustering, and visualization. He holds a Ph.D. in computer science from Federal University of Pernambuco. He has been involved in several research projects funded by the Natural Sciences and Engineering Research Council of Canada (NSERC), Department of Fisheries and Oceans (DFO), Transport Canada (TC), and Defence Research and Development Canada Atlantic (DRDC Atlantic).


email: amilcarsj [at] mun.ca

Publications

2021 Journal
Brandoli, B., de Geus, A. R., Souza, J. R., Spadon, G., Soares, A., Rodrigues, J. F., ... & Matwin, S. (2021). Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. Sensors, 21(12), 4026.
2021 Journal
Bappee, F. K., Soares, A., Petry, L. M., & Matwin, S. (2021). Examining the impact of cross-domain learning on crime prediction. Journal of Big Data, 8(1), 1-27.
2021 Journal
Abreu, F. H., Soares, A., Paulovich, F. V., & Matwin, S. (2021). A Trajectory Scoring Tool for Local Anomaly Detection in Maritime Traffic Using Visual Analytics. ISPRS International Journal of Geo-Information, 10(6), 412.
2021 Conference
Nader Zare, Mahtab Sarvmaili, Aref Sayareh, Omid Amini, Stan Matwin, Amilcar Soares (2021). RoboCup Symposium.
2021 Conference
Fernando H O Abreu, Amilcar Soares, Fernando V Paulovich, Stan Matwin. Local Anomaly Detection In Maritime Traffic Using Visual Analytics. 4th International Workshop on Big Mobility Data Analytics (BMDA)
2021 Journal
M Etemad, A Soares, E Etemad, J Rose, L Torgo, S Matwin. (2021) SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels. GeoInformatica, 1-21.
2021 Journal
I Varlamis, I Kontopoulos, K Tserpes, M Etemad, A Soares, S Matwin. (2021). Building navigation networks from multi-vessel trajectory dataGeoInformatica, 1-29.
2020 Journal
Damião Ribeiro de Almeida, Cláudio de Souza Baptista, Fábio Gomes de Andrade, Amilcar Soares. (2020). A Survey on Big Data for Trajectory Analytics. ISPRS International Journal of Geo-Information, 9(2), 88.
2020 Conference
Lucas May Petry, Amilcar Soares, Vania Bogorny, Bruno Brandoli, Stan Matwin. Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020.
2020 Conference
Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amilcar Soares, Bruno Brandoli Machado, Stan Matwin. Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020.
2020 Conference
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation. Mohammad Etemad, Zahra Etemad, Amilcar Soares, Vania Bogorny, Stan Matwin, Luis Torgo. Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020.
2020 Conference
Carlini, Emanuele, Vinicius Monteiro de Lira, Amilcar Soares, Mohammad Etemad, Bruno Brandoli Machado, and Stan Matwin. Uncovering vessel movement patterns from AIS data with graph evolution analysis. EDBT/ICDT 2020
2019 Conference
Mohammad Etemad, Amilcar Soares, Stan Matwin, and Luis Torgo. On feature selection and evaluation of transportation mode prediction strategies. In EDBT/ICDT Workshops 2019, 2019.
2019 Conference
Amilcar Soares, Jordan Rose, Mohammad Etemad, Chiara Renso, and Stan Matwin. Vista: A visual analytics platform for semantic annotation of trajectories. In Proceedings of the 22nd International Conference on Extending Database Technology (EDBT), 2019.
2019 Conference
Pedram Adibi, Fabio Pranovi, Alessandra Raffaet ́a, Elisabetta Russo, Claudio Silvestri, Marta Simeoni, Amilcar Soares, Stan Matwin. Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning. Workshop on multiple-aspect analysis of semantic trajectory (MASTER 2019)
2019 Conference
Mohammad Etemad, Amilcar Soares, Arazoo Hoseyni, Jordan Rose, and Stan Matwin. A trajectory segmentation algorithm based on interpolation-based change detection strategies. In EDBT/ICDT Workshops 2019, 2019
2019 Conference
Iraklis Varlamis, Konstantinos Tserpes, Mohammad Etemad, Amilcar Soares Junior, and Stan Matwin. A network abstraction of multi-vessel trajectory data for detecting anomalies. In EDBT/ICDT Workshops 2019, 2019.
2019 Conference
Amilcar Soares, Renata Dividino, Fernando Abreu, Matthew Brousseau, Anthony W Isenor, Sean Webb, and Stan Matwin. CRISIS: Integrating ais and ocean data streams using semantic webstandards for event detection. In International Conference on Military Communications and Information Systems ICMCIS2019, 2019
2018 Conference
Mohammad Etemad, Amilcar Soares Junior, and Stan Matwin. Predicting transportation modes ofgps trajectories using feature engineering and noise removal. In Advances in Artificial Intelligence: 31st Canadian Conference on Artificial Intelligence, Canadian AI 2018, Toronto, ON, Canada, May 8–11, pages 259–264. Springer International Publishing, 2018.
2018 Conference
Fateha Khanam Bappee, Amilcar Soares Junior, and Stan Matwin. Predicting crime using spatialfeatures. In Advances in Artificial Intelligence: 31st Canadian Conference on Artificial Intelli-gence, Canadian AI 2018, Toronto, ON, Canada, May 8–11, pages 367–373. Springer International Publishing, 2018.
2018 Conference
Amilcar Soares Junior, Valeria Times, Chiara Renso, Stan Matwin, and Lucıdio AF Cabral. A semi-supervised approach for the semantic segmentation of trajectories. In19th IEEE InternationalConference on Mobile Data Management At: Aalborg, Denmark, 2018.
2018 Conference
Renata Dividino, Amilcar Soares, Stan Matwin, Anthony W. Isenor, Sean Webb, Brousseau, and Matthew. Semantic integration of real-time heterogeneous data streams for ocean-related decision making. In Big Data and Artificial Intelligence for Military Decision Making, 2018.
2017 Journal
Amilcar Soares Junior, Chiara Renso, and Stan Matwin. Analytic: An active learning system fortrajectory classification. IEEE computer graphics and applications, 37(5):28–39, 2017.
2015 Journal
Amilcar Soares Junior, Bruno Neiva Moreno, Valeria Cesario Times, Stan Matwin, and Lucidio dos Anjos Formiga Cabral. Grasp-uts: an algorithm for unsupervised trajectory segmentation. International Journal of Geographical Information Science, 29(1):46–68, 2015.

Teaching

...
CSCI 3100 - Web Programming
Winter 2021

Web development for the client (HTML, CSS, Javascript) and server (Node.js) sides are covered in this course. The students will start this course learning Node.js for server-side programming and will learn the basics for setting up an application using several libraries such as and Express.js and Mocha.js. The students will also have contact with a non-structured database (Mongo DB) for storing and querying data. After being able to code their back-end, the students will learn how to present their data in a webpage using HTML, CSS and Javascript. The students will also learn how to work with dynamic content and visualization of charts and dashboard like applications.

...
COMP 2002 - Data Structures and Algorithms
Fall 2020

This course includes the study of fundamental algorithm design and analysis techniques and standard ways of organizing and manipulating data.