Creating and sharing knowledge for telecommunications
... Patrício Rodrigues Domingues

Researcher

Patrício Domingues

Academic position: Assistant Professor
Joining date: 07-07-2015
Roles in IT: Researcher
Thematic Line: Information and Data Sciences
Group: Multimedia Signal Processing – Lr

Email: Send Email
Address: IT Branch – Leiria
Morro do Lena - Alto do Vieiro
Leiria
2411 - 901
Tel: 244820340
Fax: 244820310


Scientific Achievements

  • PhD, Universidade de Coimbra, 31-12-2010

Closed Projects1

Acronym Name Funding Agency Start date Ending date
OPAC Optimization of pattern-matching compression algorithms for GPU’s IT/LA 01-09-2014 01-12-2017
  • P. Domingues, RN Nogueira, JCF Francisco, M. F. Frade, OSDFCon 2020 - 3rd place with the software module FAMA - Forensic Analysis For Mobile Apps (Nov-2020), FAMA is a framework that is accessible within Autopsy’s modules. It does the following: - It can perform a live extraction from an Android device (it uses ADB). - It analyzes an Android image to extract and produce forensic artifacts of Android applications. For each application, the framework runs an application specific python file. This python file leverages the FAMA API to extract artifacts, parse SQLite3 databases (and recover rows through external and well known tools such as Undark and Parse SQL delete parser), add the artifacts to Autopsy’s Blackboard. - For each analyzed application, it is also possible to generate reports. FAMA has support for various types of reports, namely: timeline-based; multimedia (display video/photos in a dynamic HTML page); Maps-based. It also supports PDF reports. Right now, FAMA has support for two Android applications: TikTok and Tinder. These two were implemented as proof-of-concepts. Support for other Android applications can easily be added (this is the goal of the framework, to ease the addition of support for new Android applications). In developing FAMA, we noticed that Autopsy supports the addition of “Data Source processor”. Therefore, we added a new data source processor “Live extraction with ADB (Android)"., 01-11-2020
  • K. Baptista, T. Honório, M. F. Frade, P. Domingues, OSDFCon 2019 - 2nd place with the software module "Browser History Histogram " (Oct-2019), Browser History Histogram(BHH) gathers information related with web browsing and display this information in different reports (PDF, CSV and Dashboard). It supports Google Chrome, Firefox, Brave and Vivaldi and it runs on Windows and Linux. (https://www.osdfcon.org/2019-event/2019-module-development-contest/), 01-10-2019
  • A. Frazão, P. Domingues, OSDFCon 2018 - 2nd place with the software module "FDRI - Facial Detection and Recognition in Images", FDRI is an image analysis module that focuses in i) finding human faces in images/photos (face detection), as well as ii) finding images that contain a specific person (face recognition). It relies on deep learning for face detection/recognition., 01-10-2018
  • L. Andrade, J. Silva, P. Domingues, M. F. Frade, OSDFCon 2018 - 3rd place with the software module "Log Forensics for Autopsy" ((Oct-2018)), Log Forensics for Autopsy is a 2-part Jython module for Autopsy. It consists of a file ingest and report. The file ingest tags certain log files, specific to Windows, such as: .wer, .etl, .evtx, .dmp, .log, and specific .xml. Extracts information from .wer, .log and .xml: Windows Error Reporting events, startup processes, and RegEx patterns from .log (IPs by default)., 01-10-2018
  • P. Domingues, OSDFCon 2017 - 2nd place (tied) with the software module "digiSignedOrProtected_PDFs", 2nd place (tied) of the Autopsy's software Module "digiSignedOrProtected_PDFs" https://www.osdfcon.org/2017-event/2017-module-development-contest/, 01-10-2017
  • International Conference on Economics of Grids, Clouds, Systems and Services - GECON, Scientific Committee, 2019
  • International Conference in Engineering Applications, Scientific Committee, 2019
  • AISTI - Iberian Conference on Information Systems and Technologies - CISTI, Scientific Committee, 2019
  • International Conference on Ambient Intelligence, Scientific Committee, 2019
  • AISTI - Iberian Conference on Information Systems and Technologies - CISTI, Scientific Committee, 2018
  • International Conference on Ambient Intelligence, Scientific Committee, 2018
  • International Conference on Economics of Grids, Clouds, Systems and Services - GECON, Scientific Committee, 2017
  • AISTI - Iberian Conference on Information Systems and Technologies - CISTI, Scientific Committee, 2017
  • Journal of Retailing and Consumer Services
    2016, 1 review(s);
  • Sensors
    2019, 1 review(s);
  • Energy
    2019, 1 review(s);
  • Information (Switzerland)
    2019, 1 review(s);
  • Algorithms
    2019, 1 review(s);
  • IEEE Access
    2020, 1 review(s);