INESC TEC
INESC TEC
INESC TEC
Search results for:
Filter your results

0 Search results

Thiago Andrade Silva

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

View all publications

Supervised theses

Verificação de programas via Lince em Keymaera

Pedro Miguel de Magalhães Teixeira

M - 2024

UM-EEUM

Information and Contacts

Social Media