Awards

  • 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
  • P.A. Assunção, Top Reviewer Recognition, In recognition for the high quality reviews carried out for the IEEE International Conference on Image Processing, Abu-Dhabi, UAE, October 2020., 01-10-2020
  • 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
  • P.A. Assunção, Top Peer Reviewer 2019, For placing in the top 1% of reviewers in Cross-Field on Publons global reviewer database. The Top Peer Review Award is part of the Global Peer review Awards - honouring the elite contributions to scholarly peer review and editorial pursuits internationally., 01-09-2019
  • P.A. Assunção, Publons Peer Review Award 2018, One of top 1% of peer reviewers in Computer Science. Publons peer reviewer awards honour the elite contributors to scholarly peer review and editorial pursuits internationally. Recipients have demonstrated an outstanding expert commitment to protecting the integrity and accuracy of published research in their field., 01-12-2018
  • P.A. Assunção, Elsevier - Outstanding Contribution in Reviewing, In recognition of contributions made to the quality of the journal Signal Processing: Image Communication, 01-10-2018
  • 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.A. Assunção, Publons Peer Review Award 2017, One of top 1% of peer reviewers in Computer Science. Publons peer reviewer awards honour the elite contributors to scholarly peer review and editorial pursuits internationally. Recipients have demonstrated an outstanding expert commitment to protecting the integrity and accuracy of published research in their field., 01-12-2017
  • 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
  • J. Parreira, M. F. Frade, P. Domingues, OSDFCon 2017 - 2nd place (tied) with the software module "FEA – Forensics Enhanced Analysis", 2nd place (tied) with the Autopsy's Module "FEA – Forensics Enhanced Analysis" https://www.osdfcon.org/2017-event/2017-module-development-contest/, 01-10-2017
  • L. A. Thomaz, ANP Technological Innovation Award, Brazilian National Oil Agency Award for technological innovation on the oil extraction industry, 31-07-2017
  • J. Proença, D. Celorico, C. Lopes, M. D. Dias, M.Tjalve Tjalve, A. Stolcke, S. Candeias, F. Perdigão, Camões Prize 2016 for the Technologies for the Portuguese Language, Best paper award at PROPOR 2016 – International Conference on the Computational Processing of Portuguese, given by the Camões Institue for the paper "Design and Analysis of a Database to Evaluate Children’s Reading Aloud Performance", 01-07-2016
  • G. Corrêa, P.A. Assunção, L. Agostini, L. A. S. C. Cruz, Best Paper Award (ICECS 2014), Best Paper Award at the 21st IEEE International Conference on Electronics, Circuits, and Systems (ICECS 2014) for the paper entitled "Classification-Based Early Termination for Coding Tree Structure Decision in HEVC". Award given by the IEEE Circuits and Systems Society., 01-12-2014
  • J. F. M. Carreira, E.E. Ekmekcioglu, A. Kondoz, P.A. Assunção, S.M.M. Faria, V. De Silva De Silva, IEEE ICIP 2014 - Top 10% Paper Award, The Organizing Committee of the 2014 IEEE International Conference on Image Processing, recognized the following paper as one of the “Top 10%” papers in ICIP 2014 Technical Program as based on reviewer scores and recommendations: "Selective Motion Vector Redundancies for Improved Error Resilience in HEVC” by Joao Carreira, Erhan Ekmekcioglu, Ahmet Kondoz, Pedro Assuncao, Sergio Faria and Varuna De Silva., 01-09-2014
  • P.A. Assunção, IEEE ICME 2013 Quality Reviewer, In recognition of the quality reviewing performed for the IEEE International Conference on Multimedia & Expo, San Jose, CA, July 15-19, 2013., 01-07-2013
  • P.A. Assunção, Best Poster Award, Best Poster Award at the EU COST Training School on Plenoptic Capture, Processing and Reconstruction, Mid-Sweden University, for the work entitled "Non-Uniform Asymmetric 3D Video Coding using Regions of Perceptual Interest" (with Luis Pinto, MSc Student), 01-06-2013
  • R. Pinto, Best Paper Award, Best Paper Award in SIP - Signal and image processing IASTEWD conference 2009, Innsbruck, Austria, 01-02-2009
  • C. Lopes, F. Perdigão, VTLN through Frequency Warping Based on Pitch, prize for best paper in IEEE International Telecommunications Symposium-ITS2002, Natal, Brazil, 12-09-2002
  • P.A. Assunção, University of Essex - British Telecom Postgraduate Publication Prize 1997-98, The BT Laboratories Prize was awarded for the best published work by a postgraduate student, for the paper entitled "Transcoding of single-layer MPEG video into lower rates", IEE Proceedings on Vision, Image and Signal Processing, 144(6):377-383, December 1997., 11-06-1998
  • J. Pereira, 1997 Customer Driven Quality Award, Premium of quality production "1997 Customer Driven Quality Award"; FORD MOTOR COMPANY, 1997, presented in Cologne (Germany). The winning work consisted of an assembly of mechanical and automatic control electronic car radios implemented in Ford Portuguese Electronic components and systems - Palmela, Portugal., 01-01-1997