
Thiago Andrade Silva
Senior Researcher
Senior Researcher / Professor -
Senior Researcher with experience in machine learning, data mining, and knowledge extraction from data, with expertise in areas such as anomaly detection, time series and mobility patterns, and spatiotemporal data.
Assistant Professor in the Department of Informatics at the Faculty of Engineering of the University of Porto.
He has a PhD in Computer Engineering (Data Mining & Machine Learning) from the Universities of Minho, Aveiro, and Porto – MAP-i program.
He has a degree in Computer Engineering (Information Systems) and an MBA in Project Management.
He holds Project Management Professional (PMP), ITIL V3, COBIT, PSM, and Scrum Fundamentals certifications.
IT professional with over 15 years of experience developing and maintaining applications for the Internet, Desktop, and mobile devices. Additional experience with UML and BPMN modeling and Scrum framework.
Project Manager with more than 10 years of experience coordinating software development teams using agile and traditional methodologies.
Senior Systems Analyst with more than 8 years of experience in collecting and structuring requirements from various sources, including interviews with users and executive managers, and in documenting and analyzing legacy systems.
Specializations: Data Mining & Machine Learning, Systems Design and Construction, Implementation and Integration of Technology Solutions, Consulting and Project Management.
Projects
Publications
Where DoWe Go From Here? Location Prediction from Time-Evolving Markov Models
Andrade, T;Gama, J;
2024
39TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2024
Which Way to Go - Finding Frequent Trajectories Through Clustering
Andrade, T;Gama, J;
2023
Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings
Study on Correlation Between Vehicle Emissions and Air Quality in Porto
Shaji, N;Andrade, T;Ribeiro, RP;Gama, J;
2023
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT I
Anomaly Detection in Sequential Data: Principles and Case Studies
Andrade, T;Gama, J;Ribeiro, RP;Sousa, W;Carvalho, A;
2019
Wiley Encyclopedia of Electrical and Electronics Engineering

