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About

About

Assistant Professor in the Department of Science and Technology of the Open University. Coordinator of the Master in Information and Business Systems. PhD in Information Systems and Technologies, University of Minho. Master in Informatics from the Faculty of Sciences of the University of Lisbon. Degree in Computer Engineering from COCITE.

Consultant in Information, Systems and Technological Systems and Architectures. I have a particular interest in Informatics applied to organizations.

Interest
Topics
Details

Details

  • Name

    Henrique São Mamede
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st May 2014
007
Publications

2023

Methodology for Predictive Cyber Security Risk Assessment (PCSRA)

Authors
Ferreira, DJ; Mateus Coelho, N; Mamede, HS;

Publication
Procedia Computer Science

Abstract

2023

A method for selecting processes for automation with AHP and TOPSIS

Authors
Costa, DS; Mamede, HS;

Publication
HELIYON

Abstract
Organizations are more frequently turning towards robotic process automation (RPA) as a solu-tion for employees to focus on higher complexity and more valuable tasks while delegating routine, monotonous and rule-based tasks to their digital colleagues. These software robots can handle various rule-based, digital, repetitive tasks. However, currently available process identi-fication methods must be qualified to select suitable automation processes accurately. Wrong process selection and failed attempts are often the origin of process automation's bad reputation within organizations and often result in the avoidance of this technology. As a result, in this research, a method for selecting processes for automation combining two multi-criteria decision -making techniques, 'Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), will be proposed, demonstrated, and evaluated. This study follows the Design Science Research Methodology (DSRM) and applies the proposed method for selecting processes for automation to a real-life scenario. The result will be a method to support the proper selection of business processes for automation, increasing the success of implementing RPA tools in an organization.

2023

A Reference Model for Artificial Intelligence Techniques in Stimulating Reasoning, and Cognitive and Motor Development

Authors
Santos, V; Mamede, H; Silveira, C; Reis, L;

Publication
Procedia Computer Science

Abstract

2023

Process automation using RPA – a literature review

Authors
Moreira, S; Mamede, HS; Santos, A;

Publication
Procedia Computer Science

Abstract

2023

Towards a Comprehensive Framework for the Multidisciplinary Evaluation of Organizational Maturity on Business Continuity Program Management: A Systematic Literature Review

Authors
Russo, N; Reis, L; Silveira, C; Mamede, HS;

Publication
INFORMATION SECURITY JOURNAL

Abstract
Organizational dependency on Information and Communication Technology (ICT) drives the preparedness challenge to cope with business process disruptions. Business Continuity Management (BCM) encompasses effective planning to enable business functions to resume to an acceptable state of operation within a defined timeframe. This paper presents a systematic literature review that communicates the strategic guidelines to streamline the organizational processes in the BCM program, culminating in the Business Continuity Plan design, according to the organization's maturity. The systematic literature review methodology follows the Evidence-Based Software Engineering protocol assisted by the Parsifal tool, using the EbscoHost, ScienceDirect, and Scopus databases, ranging from 2000 to February 2021. International Standards and Frameworks guide the BCM program implementation, however, there is a gap in communicating metrics and what needs to be measured in the BCM program. The major paper result is the confirmation of the identified gap, through the analysis of the studies that, according to the BCM components, report strategic guidelines to streamline the BCM program. The analysis quantifies and discusses the contribution of the studies on each BCM component to design a framework supported by metrics, that allows assessing the organization's preparedness in each BCM component, focusing on Information Systems and ICT strategies.

Supervised
thesis

2022

SMEs recruitment processes supported by Artificial Intelligence

Author
Hugo Trovão Mota

Institution
UTAD

2021

Transforming physical enterprise into a remote organization

Author
Célia Saraiva

Institution
UTAD

2021

A Personalized Narrative Method to Improve Serious Games

Author
Tatianna Rosal

Institution
UTAD

2021

Framework para definição da Continuidade de Negócio - Avaliação Multidisciplinar da Maturidade Organizacional

Author
Nelson Russo

Institution
UTAD

2021

Automation of Enterprise Architecture Discovery based on Event Mining from API Gateway logs

Author
Carlos Pinheiro

Institution
UTAD