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 Ph.D. in Computer Science, Artificial Intelligence specialized, from the University of Minho, having achieved the highest rating of Very Good with unanimous approval. He also holds a bachelor's and master's degree in Informatics Engineering, both obtained at the University of Minho. Since 2018, Bruno has been a lecturer at the Department of Informatics of the University of Minho, being responsible for lecturing courses in the field of Computer Science, particularly in the domains of artificial intelligence and data science, to programs such as the Master's in Informatics Engineering, the Master's in Mathematics and Computation, and the Master's in Law and Informatics. Until 2022, Bruno Fernandes conducted scientific research at the Synthetic Intelligence Laboratory within the ALGORTIMI Center of the University of Minho. He is currently a researcher and coordinator of the working group at the Augmented Human Intelligence Axis (AHIA.Lab) within the Center for Innovation, Research, and Higher Education (CIIES) at the University of Minho. He is also an integrated researcher in the Artificial Intelligence and Health Research Unit at CESPU (Cooperative for Higher Education, Polytechnic, and University). Bruno is also the founder and CEO of PluggableAI, a leading Portuguese startup in the fields of non-intrusive sensorization and artificial intelligence in mobile devices.
Publications (44)
Computational Approaches for the Automatic Quantification of Cells from Brain Images
2024 | book-chapter
A Review of Computational Modeling in Wastewater Treatment Processes
ACS ES and T Water
2023 | journal-article
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
KnowLedger - A Multi-Agent System Blockchain for Smart Cities Data
Proceedings of the International Joint 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 | conference-paper
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
Using machine learning to forecast air and water quality
ICAART 2021 - Proceedings of the 13th 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
A gamification framework for getting residents closer to public institutions
Journal of Ambient Intelligence and Humanized Computing
2020 | journal-article
A machine learning approach to boredom detection using smartphone's sensors
CEUR Workshop Proceedings
2020 | conference-paper
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 | conference-paper
Sensing of IoT environments using BeagleBone with learning purposes
XL Jornadas de Automática: libro de actas
2019 | conference-paper
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 | conference-paper
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 | conference-paper
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 | conference-paper
Towards road safety a social perception
Advances in Intelligent Systems and Computing
2018 | conference-paper
Envisaging the internet of people an approach to the vulnerable road users problem
Advances in Intelligent Systems and Computing
2017 | conference-paper
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
Steps towards interoperability in healthcare environment
Applying Business Intelligence to Clinical and Healthcare Organizations
2016 | book-chapter
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 |
Computational Approaches for the Automatic Quantification of Cells from Brain Images
2024 | book-chapter
A Review of Computational Modeling in Wastewater Treatment Processes
ACS ES and T Water
2023 | journal-article
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
KnowLedger - A Multi-Agent System Blockchain for Smart Cities Data
Proceedings of the International Joint 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 | conference-paper
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
Using machine learning to forecast air and water quality
ICAART 2021 - Proceedings of the 13th 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
A gamification framework for getting residents closer to public institutions
Journal of Ambient Intelligence and Humanized Computing
2020 | journal-article
A machine learning approach to boredom detection using smartphone's sensors
CEUR Workshop Proceedings
2020 | conference-paper
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 | conference-paper
Sensing of IoT environments using BeagleBone with learning purposes
XL Jornadas de Automática: libro de actas
2019 | conference-paper
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 | conference-paper
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 | conference-paper
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 | conference-paper
Towards road safety a social perception
Advances in Intelligent Systems and Computing
2018 | conference-paper
Envisaging the internet of people an approach to the vulnerable road users problem
Advances in Intelligent Systems and Computing
2017 | conference-paper
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
Steps towards interoperability in healthcare environment
Applying Business Intelligence to Clinical and Healthcare Organizations
2016 | book-chapter
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 |
