Algoritmi | User | Bruno Filipe Martins Fernandes
Bruno Filipe Martins Fernandes
Bruno Filipe Martins Fernandes
At Algoritmi
Academic Degree
PhD
Current Position
Invited Assistant Professor at Escola de Engenharia da Universidade do Minho
Personal Webpage
Personal Email
bruno.fernandes@algoritmi.uminho.ptOrcid
0000-0003-1561-2897Researcher ID
FCT Public Key
J645108cvfhq
Ciência ID
AD15-4469-46BFGoogle Scholar
BNj_fxEAAAAJh-index
5Publications
23Editorial
0Citations
56Q1 / Q2
6About Me 
Bruno Fernandes holds a B.Sc. and M.Sc. in Informatics Engineering from the University of Minho. He concluded his PhD in Informatics, in 2021, at the same university, with the maximum grade of Very Good (unanimously). Bruno is an AI/ML researcher at the ALGORITMI center (since 2017), a research unit of the School of Engineering of the University of Minho, and a professor at the Department of Informatics of the same university (since 2018), lecturing Machine Learning and Artificial Intelligence to the master's courses in Informatics Engineering, Systems Engineering, and Mathematics and Computation. He has been working as a software engineer for more than 8 years. He has published more than 20 scientific papers and book chapters in relevant scientific journals and conference proceedings, receiving multiple awards for his research. He is also an invited reviewer of some of the most important international journals and scientific conferences of the area. To date, he has supervised 19 MSc and has been responsible for multiple research projects. He has conceived and deployed multiple solutions specimens applied to traffic flow, personality assessment, deep image clustering, and wastewater treatment plants, among others, based on disruptive methods related to machine and deep learning, sensorization, ambient intelligence, and affective computing. He is now focused on his research and on allowing the world, and our society, to take the next big step towards a better future.
Publications (38)
Microglial Depletion Has No Impact on Disease Progression in a Mouse Model of Machado–Joseph Disease
Cells
2022 | journal-article
Profiling Microglia in a Mouse Model of Machado–Joseph Disease
Biomedicines
2022 | journal-article
A Multi-Agent System for Automated Machine Learning
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)
2022 | conference-paper
A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants
2022 | book-chapter
Benchmarking Data Augmentation Techniques for Tabular Data
2022 | book-chapter
KnowLedger - A Multi-Agent System Blockchain for Smart Cities Data
International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
2022 | conference-paper
MorphData: Automating the data extraction process of morphological features of microglial cells in ImageJ
Journal of Open Research Software
2022 | journal-article
Forecasting Energy Consumption of Wastewater Treatment Plants with a Transfer Learning Approach for Sustainable Cities
Electronics
2021 | journal-article
Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants
2021 | book-chapter
Multi-step ultraviolet index forecasting using long short-term memory networks
Advances in Intelligent Systems and Computing
2021 | book
Pluggable.AI
2021 | spin-off-company
The internet of people approach to road safety and vulnerable road users in smart cities
Universidade do Minho
2021 | dissertation-thesis
Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants
2021 | book-chapter
Using Machine Learning to Forecast Air and Water Quality
International Conference on Agents and Artificial Intelligence
2021 | conference-paper
A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants
2020 | book-chapter
A Machine Learning Approach to Boredom Detection using Smartphone's Sensors
9th European Starting AI Researchers’ Symposium (STAIRS)
2020 | conference-paper
A Machine Learning Approach to Boredom Detection using Smartphone's Sensors
European Conference on Artificial Intelligence
2020 | conference-paper
A Machine Learning Approach to Forecast the Safest Period for Outdoor Sports
2020 | book-chapter
An adjective selection personality assessment method using gradient boosting machine learning
Processes
2020 | journal-article
Long Short-Term Memory Networks for Traffic Flow Forecasting: Exploring Input Variables, Time Frames and Multi-Step Approaches
Informatica
2020 | journal-article
SafeCity: A Platform for Safer and Smarter Cities
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | book
Sensing of IoT environments using BeagleBone with learning purposes
XL Jornadas de Automática: libro de actas
2019 | conference-paper
A gamification framework for getting residents closer to public institutions
Journal of Ambient Intelligence and Humanized Computing
2019 | journal-article
Fully informed vulnerable road users: Simpler, maybe better
ACM International Conference Proceeding Series
2019 | conference-paper
The internet of people approach to road safety and vulnerable road users in smart cities
1st Interdisciplinary Summer School on Artificial Intelligence
2019 | conference-poster
Traffic Flow Forecasting on Data-Scarce Environments Using ARIMA and LSTM Networks
Advances in Intelligent Systems and Computing
2019 | book
A Multi-Agent System Blockchain for a Smart City
3rd Conference on Cyber-Technologies and Cyber-Systems
2018 | conference-paper
A Multi-Agent System Blockchain for a Smart City
International Conference on Cyber-Technologies and Cyber-Systems (CYBER)
2018 | conference-paper
Crowd sensing for urban security in smart cities
Journal of Universal Computer Science
2018 | journal-article
Evolutionary computation on road safety
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | book
Predicative Vagueness in Lung Metastases in Soft Tissue Sarcoma Screening
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | book
Towards road safety a social perception
Advances in Intelligent Systems and Computing
2018 | book
Envisaging the internet of people an approach to the vulnerable road users problem
Advances in Intelligent Systems and Computing
2017 | book
Road safety and vulnerable road users internet of people insights
SMARTGREENS 2017 - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems
2017 | conference-paper
Handling default data under a case-based reasoning approach
ICAART 2015 - 7th International Conference on Agents and Artificial Intelligence, Proceedings
2015 | conference-paper
Handle default data with case-based reasoning: an approach to solve problem reports
Universidade do Minho
2014 | dissertation-thesis
Datasets4SocialGood @ github.com/brunofmf/Datasets4SocialGood
| data-set
MorphData is an open-source ImageJ plugin that automatizes the data extraction process of morphological features of single microglial cells, which can then be used to characterize microglia behavior in the brain of human patients or of animal models of neurological and psychiatric diseases. Available online at https://github.com/anabelacampos/MorphData
| research-technique
History
| Init | End | Change | Value | |
|---|---|---|---|---|
| Member Type | Assistant Researcher | |||
| PDINF - data de inscrição 09/2015 (ano lectivo 2015/2016) data de Admissão à dissertação/tese: 05 de Dezembro de 2016 | ||||
| 17/01/2023 20:17 | ||||
| Internal Member Type |
Microglial Depletion Has No Impact on Disease Progression in a Mouse Model of Machado–Joseph Disease
Cells
2022 | journal-article
Profiling Microglia in a Mouse Model of Machado–Joseph Disease
Biomedicines
2022 | journal-article
A Multi-Agent System for Automated Machine Learning
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)
2022 | conference-paper
A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants
2022 | book-chapter
Benchmarking Data Augmentation Techniques for Tabular Data
2022 | book-chapter
KnowLedger - A Multi-Agent System Blockchain for Smart Cities Data
International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
2022 | conference-paper
MorphData: Automating the data extraction process of morphological features of microglial cells in ImageJ
Journal of Open Research Software
2022 | journal-article
Forecasting Energy Consumption of Wastewater Treatment Plants with a Transfer Learning Approach for Sustainable Cities
Electronics
2021 | journal-article
Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants
2021 | book-chapter
Multi-step ultraviolet index forecasting using long short-term memory networks
Advances in Intelligent Systems and Computing
2021 | book
Pluggable.AI
2021 | spin-off-company
The internet of people approach to road safety and vulnerable road users in smart cities
Universidade do Minho
2021 | dissertation-thesis
Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants
2021 | book-chapter
Using Machine Learning to Forecast Air and Water Quality
International Conference on Agents and Artificial Intelligence
2021 | conference-paper
A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants
2020 | book-chapter
A Machine Learning Approach to Boredom Detection using Smartphone's Sensors
9th European Starting AI Researchers’ Symposium (STAIRS)
2020 | conference-paper
A Machine Learning Approach to Boredom Detection using Smartphone's Sensors
European Conference on Artificial Intelligence
2020 | conference-paper
A Machine Learning Approach to Forecast the Safest Period for Outdoor Sports
2020 | book-chapter
An adjective selection personality assessment method using gradient boosting machine learning
Processes
2020 | journal-article
Long Short-Term Memory Networks for Traffic Flow Forecasting: Exploring Input Variables, Time Frames and Multi-Step Approaches
Informatica
2020 | journal-article
SafeCity: A Platform for Safer and Smarter Cities
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | book
Sensing of IoT environments using BeagleBone with learning purposes
XL Jornadas de Automática: libro de actas
2019 | conference-paper
A gamification framework for getting residents closer to public institutions
Journal of Ambient Intelligence and Humanized Computing
2019 | journal-article
Fully informed vulnerable road users: Simpler, maybe better
ACM International Conference Proceeding Series
2019 | conference-paper
The internet of people approach to road safety and vulnerable road users in smart cities
1st Interdisciplinary Summer School on Artificial Intelligence
2019 | conference-poster
Traffic Flow Forecasting on Data-Scarce Environments Using ARIMA and LSTM Networks
Advances in Intelligent Systems and Computing
2019 | book
A Multi-Agent System Blockchain for a Smart City
3rd Conference on Cyber-Technologies and Cyber-Systems
2018 | conference-paper
A Multi-Agent System Blockchain for a Smart City
International Conference on Cyber-Technologies and Cyber-Systems (CYBER)
2018 | conference-paper
Crowd sensing for urban security in smart cities
Journal of Universal Computer Science
2018 | journal-article
Evolutionary computation on road safety
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | book
Predicative Vagueness in Lung Metastases in Soft Tissue Sarcoma Screening
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | book
Towards road safety a social perception
Advances in Intelligent Systems and Computing
2018 | book
Envisaging the internet of people an approach to the vulnerable road users problem
Advances in Intelligent Systems and Computing
2017 | book
Road safety and vulnerable road users internet of people insights
SMARTGREENS 2017 - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems
2017 | conference-paper
Handling default data under a case-based reasoning approach
ICAART 2015 - 7th International Conference on Agents and Artificial Intelligence, Proceedings
2015 | conference-paper
Handle default data with case-based reasoning: an approach to solve problem reports
Universidade do Minho
2014 | dissertation-thesis
Datasets4SocialGood @ github.com/brunofmf/Datasets4SocialGood
| data-set
MorphData is an open-source ImageJ plugin that automatizes the data extraction process of morphological features of single microglial cells, which can then be used to characterize microglia behavior in the brain of human patients or of animal models of neurological and psychiatric diseases. Available online at https://github.com/anabelacampos/MorphData
| research-technique
| Start | End | Term | Value | |
|---|---|---|---|---|
| Member Type | Assistant Researcher | |||
| PDINF - data de inscrição 09/2015 (ano lectivo 2015/2016) data de Admissão à dissertação/tese: 05 de Dezembro de 2016 | ||||
| 17/01/2023 20:17 | ||||
| Internal Member Type |
