Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
Undergrad students are trained on a specific set of skills matching their corresponding careers, as modern sciences trend to specialization; however, it has promoted the creation of a virtual boundary among different professions. In this regard, state-of-the-art dental research involves the application of ever-increasing complex computational solutions; thus, requiring of multidisciplinary research teams. Multidisciplinarity is often achieved on a higher research context (e.g., postgrad); but involves a high degree of difficulty for both factions. The aim of this work is to present a novel application of multidisciplinary research to the learning process of undergrad students in computer sciences and dentistry careers. In order to do so, we leveraged previous research on computational intelligence and image processing techniques applied to dental diagnosis, and integrated it with the clinical assessment and software engineering subjects on dental and computer engineering careers correspondently. With this, we explored the possibility to enhance diagnosis skills of dental students, while improving the software engineering skills of computer sciences students; furthermore, we intended to introduce the concepts of applied computational intelligence, multidisciplinarity, and collaboration on both sides.
