
Thiago Andrade Silva
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 Management and Science and Technology departments of the Universidade Portucalense D. Henrique and Assistant Professor in the IT department of the Sciences and Engineering faculties 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 10 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
Pollution Emission Patterns of Transportation in Porto, Portugal Through Network Analysis
Andrade, T;Shaji, N;Ribeiro, RP;Gama, J;
2023
PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT I
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
Gradient Boosting Machine and LSTM Network for Online Harassment Detection and Categorization in Social Media
Pereira, FSF;Andrade, T;de Carvalho, ACPLF;
2020
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT II
Supervised theses
Verificação de programas via Lince em Keymaera
Pedro Miguel de Magalhães Teixeira
M - 2024
UM-EEUM