| CARVIEW |
About me
I’m an Assistant Professor at the School of Electrical Engineering and Computer Science in the University of Ottawa, Canada.
My main research interests are focused on Artificial Intelligence and Machine Learning with a special focus on imbalanced domains, outlier detection, anomaly detection, cost-sensitive and utility-based learning, fraud detection and cybersecurity.
Interests
- Artificial Intelligence
- Machine Learning
- Imbalanced Domains
- Outlier Detection
- Anomaly Detection
- Cybersecurity
Education
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PhD in Computer Science, 2018
MAPi - Joint Doctoral Programme
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MSc Computer Science - Specialization in Data Mining and Advanced Data Processing, 2014
FCUP - University of Porto
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Specialization in the MSc Mathematics for School Teachers, 2013
FCUP - University of Porto
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Degree in Mathematics - Educational Branch, 2002
FCUP - University of Porto
Experience
Assistant Professor
EECS, University of Ottawa
- Winter 2020: Databases 1
- Fall 2020: (New) Artificial Intelligence for Cybersecurity Applications
PostDoctoral Fellow
Dalhousie University
News
New paper accepted @ Canadian conference on AI 2022
New paper accepted @ BIBM 2020
New paper accepted @ PSBD co-located with IEEE BigData 2020
LIDTA'20 - Tutorial accepted @ ECML/PKDD 2020
New Assistant Professor Position
Research
My main research interests are Machine Learning, Data Mining and Data Science. I’m interested in predictive analytics with a special focus in cost-sensitive/utility-based predicitive analytics, imbalanced domains learning, anomaly detection, fraud detection and rare extreme values forecasting.
Utility-based Predictive Analytics
* Utility-based learning problems
* Cost-sensitive learning problems
* Performance Evaluation
Imbalanced domains
* Strategies for dealing with imbalanced domains
* Imbalanced Regression
* Imbalanced Time Series
* Imbalanced Data Streams
* Performance Evaluation on imbalanced domains
Rare Events Mining
* Outlier detection
* Anomaly detection
* Fraud detection
* Rare extreme values forecasting
Real-world Applications
The problems that I’ve been addressing in the last years have many important real-world applications. Examples of such applications are:
Cybersecurity
* Malware detection
* Intrusion Detection
* Network Traffic Anomaly Detection
* Misuse/Signature Detection
Health Care Problems
* Rare disease detection
* Cancer Prediction
* Diabetes Prediction
* Forecasting/anticipating heart diseases
Spatio-temporal data
* Fores fires forecasting
* Monitor distribution and health of aquatic species
* Recommend locations for exploration of mineral resources
Failure and fraud detection
* Failure detection in sensors data
* Anticipating equipments interventions
* Fraud detection applications such as:
* credit card transactions
* insurance claims
* email phishing
Ecological/Meteorological data
* prediction of abnormal values in ecological indicators
* anticipation of critical phenomena related with air or water quality
* forecasting weather extreme events such as:
* floods
* heavy snowfall
* black ice
* heat waves
Open Projects
Graduate Projects
A list of graduate projects available for Fall 2022. Check to see more details.
Undergraduate Projects
A list of undergraduate projects available for Fall 2022. Check to see more details.
Recent & Upcoming Talks
Rare Events Detection: Methods and Evaluation
“Rare events detection: Methods and Evaluation” September 2020 LIDTA’2020: Tutorial on Learning with Imbalanced Domains and Rare Event Detection at ECML/PKDD 2020 here Tutorial page: LIDTA
Teaching
Current courses:
| Code | Course | University | Role | link | Year | Term |
|---|---|---|---|---|---|---|
| CSI 5188 | AI for cybersecurity Applications | EECS - University of Ottawa | Instructor | [CSI5188] | 2020 | Fall |
| CSI 2132A | Databases 1 (section A) | EECS - University of Ottawa | Instructor | CSI2132A | 2020 | Winter |
Past courses
| Code | Course | University | Role | link | Year | Term |
|---|---|---|---|---|---|---|
| CSI 2132A | Foundations of Data Science using R | Faculty of Computer Science - Dalhousie University | TA | 2019 | Fall |
Recent Publications
UBL R package
UBL R Package - Utility-Based Learning in R
Contact
- 800 King Edward Ave, Ottawa, ON 94305
- Enter SITE building and go to Office 4068 on the 4th floor
- 2020 Winter Term: Tuesday 13:00 to 14:00
- pbranco@uottawa.ca
- (+1) 613 562 5800 ext. 2162