Short Bio
Vice-Rector for Research and Innovation. Associate Professor with Academic Aggregation / University of Saint Joseph, Macau, SAR China. Founder of the Laboratory of Applied Neurosciences (LAN/USJ). PostDoctorate and Honorary Research Fellow at the University of Leicester - UK. Visiting Associate Professor at the University of the Chinese Academy of Sciences (UCAS) - Shenzhen Institutes of Advanced Technologies (SIAT). PhD in Engineering Federal University of Ceará (2010). Director of Education of the APECOF - Forensics Computing Specialists Association in Brazil. COO at Centrovita Clinic (2015-2016) Academic Director at Aliança Executive Training Center (2014-2017). Associate Professor and Software Department Chief at University Gregorio Semedo (UGS), Angola (2016). Associate Professor at University Lusiada of Angola (2009-2015). Master in Artificial Intelligence UFC (2007). Electrical Engineering UFC (1996). Has large experience in Project Management, Artificial Intelligence, Bioengineering, and Applied Computer Science, focusing on signal processing. RESEARCH AREAS - Neuroscience applied to management (marketing, leadership, performance) - Business Analytics - Big Data Applications - Theory of Constraints - Project management (frameworks, approaches, risk analysis techniques) - Digital Signal Processing - Bioengineering / Computer-Aided Diagnostic Systems - Artificial Intelligence - Deep Learning - Nonlinear analysis and dynamic systems.
Publications
List of publications and research activities at USJ Research repository:
https://research.usj.edu.mo/bibliography/?academic-units=RPL7C4R7.ARXZ7C6E&sort=date_desc
Google Scholar profile:
https://scholar.google.com/citations?hl=en&user=CTbfNcEAAAAJ&pagesize=100&view_op=list_works&sortby=pubdate
Scopus profile:
https://www.scopus.com/authid/detail.uri?authorId=57196897667
ORCID profile:
https://orcid.org/0000-0002-6472-8784
Modules
Year 1 Doctorate
This module provides an overview of methods and techniques for quantitative research, including the concepts and practical applications of descriptive and inferential statistics, with the aim to motivate the students to build skills in data collection and analysis for their Ph.D. research. The topics covered include general concepts such as sampling strategies, evaluations of reliability and validity of data, and the connection between the research question/hypothesis definition and quantitative data analysis. Different types of statistical tests and techniques are presented and computational tools (Excel, R, and SPSS) are used in practical workshops.
This module aims to introduce participants to key elements of doctoral research in the broad sense of an Academic framework. It focuses on providing an understanding of the research support Mechanisms at USJ and in overviews of the main research specialisation fields within the University of Saint Joseph, namely Business Administration; Education; Global Studies; Government Studies; History; Information Systems; Psychology; Religious Studies; Science. The course also provides an opportunity for the students to present and discuss their own work in a seminar environment.
This Module provides an initial experience of supervised research work where students will work with their intended supervisor in a collaborative tutorial model that resembles the practice of Thesis Supervision. During the Module the intended supervisor will guide the student trough multiple meetings (up to 15) during a full academic year The students will conduct autonomous research that should result in a preliminary literature review, research contextualisation and a thesis proposal completely finished and prepared to be submitted to the Foundation Year Final thesis proposal review and assessment instances.
Year 1 Master
This module examines different types of operational environments and their links with strategy thinking and management of operations. Topics covered include tools and techniques for optimal use of resources, interfaces with quality management, technology management and distribution management.
This module discusses (1) managing globally by identifying major geopolitical driving forces; (2) political processes, patterns of public policy and the relationship between politics and business; (3) regional trading blocs and systems of regional integration; (4) latent conflicts, peace and war and political instability, and (5) democracy, democratization and market capitalism.
Students will become proficient in current methods of conducting research in the field: problem definition, construction of hypotheses, research design, sampling, data collection and evaluation, and interpretation of findings.
This course focuses on the management of social services with an emphasis on how strong management can improve results. Exposes students to management thought and philosophy as applied to different social service and social policy challenges within various operating environments and programmatic settings.
This module introduces students to important concepts, issues and application techniques for planning, managing and controlling both small and large projects. Popular approaches and methodologies for planning, managing and controlling different kinds of project are considered in detail, specifically, computer software development lifecycles and rapid prototyping; business improvement methodologies such as Ford's 8-D process; and Critical Path Method and PERT used for larger industrial projects. A case approach and action oriented teaching is adopted, and students plan, manage and complete a small improvement project for the University as part of the module. The Microsoft Project computer software package for project management is used.
In this curricular unit are presented the main concepts about how the neurosciences researchers are integrating their results with other areas such as economics, management and marketing, with the aim to understand better the decision making process. The module will focus on the most recent advances and trends in the field, but always with a practical and contextualized approach. Besides, new concepts as the integration with new technologies such as IoT and artificial intelligence are going to be discussed.
The following topics will be covered:
Introduction and scope of neuroeconomics;
Tools of neuroeconomics: contextualizing neuroanatomy, neurophysiology and neuroimaging;
Introduction of Brain Models for Decision-Making and Choice;
Introduction to Computational and Statistic Models of Decision-Making;
Subjective Value - What is the brain model behind?
Affective Mechanisms of Decision Making;
Decision-Making: Dual Process Theory - a neuroeconomics perspective;
Decision-Making under risk;
Games and the Brain - influences in neuroeconomics;
Social emotions and the Brain.
Year 2 Master
Year 1 Bachelor
This course is an introduction to computers and related technologies, including basic computer concepts/terminology and hands-on experience in the use of spreadsheets, programming language and database applications. The role of Information Systems in organizations is also discussed. In addition, an introduction to the use of data communications and other automation systems, including the study of local and wide area networks, voice and electronic mail, video conferencing, and other automation tools are examined.
This module introduces basic concepts of algorithmic problem solving and logical thinking. It covers problem solving strategies, basic data structures, as well as data and procedural abstraction. Through step-by-step practice, students learn basic skill to write their own code in an easy-to-master programmeming language for simple problem solving, and to perform simple debugging and testing. It serves as the first programmeming module and requires no prerequisite.
This module covers basic usages of the latest Web technologies and tools such as Dreamweaver, Flash, XML, and SMIL. It also helps students to discover what makes an attractive Web site, the traps to avoid in Web site design, and the keys to a successful Web site. Students will learn to create and customize their own Web pages, and will become competent on the basics of multimedia implementation on Web.
Year 2 Bachelor
Students will have the time and place to observe, practice and test their learning achievements in areas related to human life. The use of real life situations, scenario building, simulation, introspective exercises and project development and management will create an environment where students will be challenged to question and research the wide range of issues that are central to the emergence and dynamics of life.
This module provides the basic ideas of information systems and their application in business and management areas. Topics covered include the strategic role of information systems in organizations and management, electronic commerce and electronic business, managing hardware and software assets, managing data resources, the Internet and the new information technology infrastructure, redesigning the organization with information systems, managing knowledge, enhancing management decision making, information system security and control, ethical and social impact of information systems.
This module requires a background of calculus as prerequisite. It provides an introduction to basic probability and statistics, and motivates students to build skills in data collection and analysis. Topics covered include statistics and data analysis, probability, random variables and probability distributions, mathematical expectation, some discrete probability distributions, some continuous probability distributions, functions of random variables, fundamental sampling distributions and data descriptions, sample estimation problems, tests of hypotheses, simple linear regression and correlation, experiments and fractions, as well as statistical quality control.
Probability and Statistics - LIS222 / LAR224
This module introduces students to important concepts, issues and application techniques for planning, managing and controlling both small and large projects. In particular popular approaches and methodologies for planning, managing and controlling selected different kinds of project are considered in detail, specifically, computer software development lifecycles and rapid prototyping; business improvement methodologies such as Ford's 8-D process; Critical Path Method and PERT used for larger industrial projects. A case approach and action oriented teaching will be adopted and students will need to plan, manage and complete a small improvement project for the university. The Microsoft Project computer software package for project management will be used.
Project management - LIS403 / LBT402 / LBA229 / LAR242
Year 4 Bachelor
This course covers the growth phase of an entrepreneurial business, focusing on the challenges of entrepreneurial business as they move beyond start-up. The primary goal of entrepreneurial companies in their growth phase is to build an organization capable of growth, and then ensure that it can sustain growth as the market and the environment change. The entrepreneur needs to create a professional organization that is responsive to external change and entrepreneurial enough to continually create new products through innovative thinking. Issues of particular importance to rapidly growing companies include: establishing processes and systems, managing with limited resources, cash flow planning, leading and delegating, professionalizing the business, turning around a troubled business, communicating culture, and creating a vision to drive the organization forward.
Last Updated: October 18, 2021 at 12:09 pm
