MATHEUS CORDEIRO (B91D-9F78-39FF)

Curriculum Vitae

MATHEUS CORDEIRO

I graduated in Computer Engineering from UFC and earned a master's degree in Teleinformatics Engineering from PPGETI/UFC, where I researched the efficient simulation of photonic quantum systems at the Quantum Information Group (GIQ). I worked as a programming tutor at IFCE and was a research fellow at the Crab Lab, exploring AI applied to games. I also gained experience in Big Data and AI at the Insight Data Science Lab, focusing on trajectory analysis, and at the Íris Lab. Additionally, I developed Machine Learning models for log classification at Dell LEAD. Currently, I work on validating credit analysis models at Banco do Nordeste (BNB).

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Identification

Personal identification

Full name: MATHEUS CORDEIRO
Date of birth: 1997/01/14
Gender: Male

Citation names

CORDEIRO, MATHEUS

Author identifiers

Ciência ID: B91D-9F78-39FF
ORCID iD: 0000-0001-5318-5158

Email addresses

matheusgomescord@gmail.com (Professional)

Addresses

Rua São Damião, 295 Altos, 60355265, Presidente Kennedy, Fortaleza, Brazil (Personal)

Websites

https://beacons.ai/matheuscordeiro (Professional)

Knowledge fields

Exact Sciences - Physical Sciences - Optics
Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Automation and Control Systems
Exact Sciences - Computer and Information Sciences - Computer Sciences

Languages

Language	Speaking	Reading	Writing	Listening	Peer-review
English	Upper intermediate (B2)	Advanced (C1)	Advanced (C1)	Advanced (C1)	Advanced (C1)
Portuguese (Mother tongue)

Education

	Degree	Classification
2023/01/01 - 2025/02/26 Concluded	Master's Degree in Teleinformatics Engineering (Postgraduate Certificate) Major in Quantum Devices and Systems Universidade Federal do Ceará Centro de Tecnologia, Brazil "Fast Wave: A Python package for efficient and accurate computation of Fock state wavefunctions." (THESIS/DISSERTATION)
2017/01/01 - 2023/01/31 Concluded	Computer Engineering (Bachelor) Major in Control & Applied Computational Intelligence Universidade Federal do Ceará Centro de Tecnologia, Brazil "Design of a PID-Fuzzy Controller for the Burn-in Chamber" (THESIS/DISSERTATION)

Outputs

Publications

Conference paper

CORDEIRO, MATHEUS; Ítalo Pereira Bezerra; Hilma Helena Macedo de Vasconcelos. "Efficient Computation of the Wave Function ¿n(x) using Hermite Coefficient Matrix in Python". Rio de Janeiro, 2024.
Published
Nicksson A. de Freitas; Ticiana Linhares Coelho da Silva; José Antonio Fernandes de Macedo; Leopoldo Melo Junior; MATHEUS CORDEIRO. "Using Deep Learning for Trajectory Classification". 2021.
10.5220/0010227906640671
BEZERRA, Sandy Ferreira; MATHEUS CORDEIRO; Rocha, Atslands R.; DELICATO, Flavia. "Fusão Hierárquica de Dados para Sistemas de Computação em Névoa". 2020.
10.5753/sbrc.2020.12320
MATHEUS CORDEIRO; Paulo Bruno S. Serafim; Yuri Lenon B. Nogueira; Creto A. Vidal; Joaquim B. Cavalcante Neto. "A Minimal Training Strategy to Play Flappy Bird Indefinitely with NEAT". 2019.
10.1109/sbgames.2019.00014

Journal article

Lívia Almada Cruz; Ticiana Linhares Coelho da Silva; Régis Pires Magalhães; Wilken Charles Dantas Melo; Matheus Cordeiro; José Antonio Fernandes de Macedo; Karine Zeitouni. "Modeling Trajectories Obtained from External Sensors for Location Prediction via NLP Approaches". Sensors (2022): https://doi.org/10.3390/s22197475.
10.3390/s22197475
MATHEUS CORDEIRO; Catherine Bezerra Markert; Sayonara Santos Araújo; Nidia Gloria da Silva Campos; Rubens Gondim; Ticiana Linhares Coelho da Silva; Rocha, Atslands R.. "Towards Smart Farming: Fog-enabled intelligent irrigation system using deep neural networks". Future Generation Computer Systems 129 (2022): 115-124. http://dx.doi.org/10.1016/j.future.2021.11.013.
10.1016/j.future.2021.11.013

Activities

Oral presentation

	Presentation title	Event name Host (Event location)
2024/08/22	Efficient Computation of the Wave Function ¿n(x) using Hermite Coefficient Matrix in Python	7º Workshop Escola de Computação e Informação Quântica (7ª WECIQ) CEFET/RJ (Rio de Janeiro, Brazil)
2019/10/29	A Minimal Training Strategy to Play Flappy Bird Indefinitely with NEAT	Simpósio Brasileiro de Jogos e Entretenimento Digital (SBGames) Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) (Rio de Janeiro, Brazil)