Education

Ph.D. at the Informatics Center, UFPE: Since March 2020, I have been pursuing my Ph.D. at the Informatics Center (CIn), Federal University of Pernambuco (UFPE), under the supervision of Prof. Dr. George Darmiton da Cunha Cavalcanti and Co-supervisor of Prof. Dr. Alejandro Frery. In 2023, I participated in a collaborative period at the Victoria University of Wellington (VIC).

In 2020, I obtained my Specialization in ABA Intervention for Autism and Intellectual Disability at (Child Behavior Institute of Miami).

In 2021, I obtained my Specialization in Teaching for Professional and Technological Education at (Federal Institute of Pernambuco - IFPE).

In 2019, I obtained my master's degree from the Institute of Computing at (IC), Federal University of Alagoas (UFAL), working under the supervision of Prof. Dr. (Alejandro C. Frery) and Prof. Dr. (Heitor Soares).

In 2019, I obtained my MBA in Project Management at (Pitagoras College).

In 2011, I graduated from (UNCISAL).

Professional Experience

Researcher: Worked in 2017 at the Laboratory of Scientific Computing and Numerical Analysis (LaCCAN) and in 2023 started at LaCCAN as a Research Coordinator.

Contact Details:

Email: kbcs2@cin.ufpe.br

Github: github.com/keilabcs

Linkedin: in

Skype ID: keila_73

Phone: +55 (82) 99678-9151

my CV Lattes: CV Lattes (here) (in Portuguese and English).

Research Interests

My research interests include Software Engineering, Programming language, Software Development, Image Processing, Big Data, Data Mining, Text Mining, AI, Deep Learning, Data Analysis, Bibliometrics, Electronic Medical Records, Applied Behavior Analysis (ABA), Autism, Biotechnology and Gamification in Education.

Project

I am part of the Visual Sketching project. The broad objective of the research is to make it easier for the developer to build quality software. The current research project involves the creation of a system that allows the developer to discover code fragments from images and thus promote the use of code already validated/tested. Details on the idea can be found in the position paper Visual Sketching (ICSE “New Ideas and Emerging Results” 2020).

I am part others project, view my Lattes.

Publications

Keila B. Costa; Alejandro C. Frery Temporal Assessment of Terrain Complexity Through Ordinal Patterns in LiDAR Data. In: IEEE Xplore Digital Library, 2024.

Keila B. Costa; Alejandro C. Frery Analysis of Signals from Air Conditioner Compressors with Ordinal Patterns. In: Journal of Physics: Conference Series, Volume 2641, 8th International Conference on Man Machine Systems 2023 04/09/2023 - 05/09/2023 Kuala Lumpur, Malaysia. (Article awarded as best article).

Rodrigo Lima; Keila Costa; Jairo Souza; Leopoldo Teixeira; Baldoino Fonseca; Marcelo D’Amorim; Márcio Ribeiro; Breno Miranda. Do you see any problem? On the Developers’ Perceptions in Test Smells Detection. In: Proceedings of the XXII Brazilian Symposium on Software Quality (SBQS '23). Association for Computing Machinery, New York, NY, USA, 21–30.

Keila Barbosa; Ronivaldo Ferreira; Gustavo Pinto; Marcelo d'Amorim; Breno Miranda. Test Flakiness Across Programming Languages. In: IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, VOL. 49, NO. 4, APRIL 2023.

Pedro Barros, Isadora Cardoso, Keila Barbosa, Alejandro Frery, Héctor Allende, Ivan Martins, Heitor S. Ramos. Identifying Communities in Social Media with Deep Learning. In: International Conference on Human-Computer Interaction (HCI), 2018, Las Vegas. Lecture Notes in Computer Science: Social Computing and Social Media. Technologies and Analytics, 2018. v. 1. p. 171-182.

Marcelo Oliveira, Darlan Chrystian, Keila Barbosa. Speed-up the Image Retrieval of Lung Nodules in the BigData age. In: International Society for Telemedicine & eHealth (ISfTeH), Luxembourg. 2013. p. 494-498.

Theses

Categorization of Texts by Machine Learning

MSc. in Computational Modeling of Knowledge / 2017 - 2019

Institute of Computing of Federal University of Alagoas