Associate Professor at IFCE and PhD Candidate in Transportation Engineering at UFC, currently on a sandwich doctoral fellowship at the University of Minho (Portugal), funded by CAPES/PDSE. My career sits at the intersection of Computer Engineering and Transportation Engineering — driven by a commitment to turning scientific research into real solutions.
My doctoral work applies Computer Vision and Deep Learning to automated road pavement inspection — covering defect detection, signaling, dimensional measurement, and prioritization — bridging AI models and practical infrastructure management. As a researcher at the Embrapii Innovation Hub at IFCE, I coordinate applied R&D projects in partnership with public agencies and private organizations, spanning Transportation Engineering, Healthcare, and Precision Agriculture.
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Gabriel Tavares is an Associate Professor at the Federal Institute of Ceará (IFCE), where he plays a key role in people development. As a lecturer, he teaches courses in Computer Science: Programming, Databases, Operating Systems, and Software Engineering. In applied research, he leads technical teams in the development of computational systems and data analysis with direct impact on Precision Agriculture, Healthcare, Engineering, and Public Administration.
Also a researcher collaborator at the Data Science BR Network and the NUVEN Lab/IFCE, expanding scientific collaboration in Software Engineering, Data Science, Computer Vision, and Transportation Engineering.
From 2021 to 2023, he served as IT Coordinator at the Innovation and Technology Diffusion Center for the Semiarid (CIDTS). Since 2019, he has led 12 teams in software development projects at the Embrapii Innovation Hub of IFCE, with over 3,000 teaching hours delivered.
In the engineering field, he is a PhD Candidate in Transportation Engineering at PETRAN (Federal University of Ceará), affiliated with LRI/UFC and ISISE/UMinho, with a sandwich doctoral fellowship at the University of Minho (Portugal) funded by CAPES/PDSE. His doctoral research focuses on automated road pavement inspection using Computer Vision and Deep Learning, with emphasis on practical solutions for public infrastructure managers.
ContactExtensive experience designing scalable, modular architectures for web and mobile systems. Expertise in aligning software development with engineering requirements, ensuring seamless integration between cloud services, databases, and client applications.
Expertise in full-stack development using Angular, Ionic, Spring Boot (Java), and Django/FastAPI (Python). Strong knowledge of frontend, backend, and mobile frameworks, applying UI/UX best practices for engineering applications.
Proficient in PostgreSQL, MySQL, and Oracle for large-scale data management, alongside advanced visualization tools such as PowerBI. Experience applying data-driven solutions to engineering, precision agriculture, infrastructure monitoring, and transportation systems.
Proficient in cloud infrastructure deployment using Docker and Docker-Compose. Solid background in CI/CD pipelines, Git/GitHub version control, and agile methodologies such as SCRUM for continuous software delivery in research projects.
Advanced knowledge in Deep Learning and Computer Vision for road infrastructure management and defect detection. Hands-on experience with Keras, TensorFlow, YOLO, and image segmentation models applied to civil and transportation engineering.
Proven ability to lead cross-functional teams bridging technical development and engineering requirements. Strong background in Agile Project Management, maximizing team efficiency while maintaining strategic vision for technology integration in complex environments.
TypeScript, JavaScript, Java, Python, C, Bash (Linux), PHP, Angular, Ionic, Spring Boot, Django, FastAPI, OpenCV, YOLO, Keras.
Mobile: Native Android, Ionic, Capacitor, Cordova. Frontend: Angular, Ionic. Backend: Spring Boot, Django, Play Framework. AI: YOLO, OpenCV, Keras. Database: PostgreSQL, Oracle, MySQL, Firebase, MongoDB. Version Control: Git (GitFlow). OS: Unix (OSX/Linux), Windows.
Python · Java · PyTorch · TensorFlow · YOLO · OpenCV · Keras · FastAPI · Django · Spring Boot · Docker · PostgreSQL · MongoDB · Angular · Ionic · Android · Raspberry Pi · Arduino · NVIDIA Jetson · Git
PETRAN — In progress (2023–)
Research on automated inspection of road pavement defects using Computer Vision and Deep Learning. Research stay at the University of Minho (ISISE), Portugal, funded by CAPES/PDSE.
Federal University of Ceara · University of Minho
Doctoral research on automated detection of road pavement defects using Computer Vision and Deep Learning at under Prof. Ernesto Nobre Júnior (LRI/UFC/Brazil). Sandwich fellowship at the University of Minho (ISISE/Portugal) under Prof. Jorge Carvalho Pais. Publications in ASCE, Springer, and Brazilian journals.
FEDERAL INSTITUTE OF CEARÁ · IFCE
As a Professor and Researcher, I specialize in teaching technology, systems programming, and software engineering, while engaging in research and leadership roles. I am a technical leader of mobile, backend, and frontend teams at the NUVEN laboratory, a Data Science researcher at the DSBR network, and an AI researcher in Infrastructure Management at LRI. I also served as IT Coordinator at CIDTS (2021–2023), leading ten major projects at the Embrapii Innovation Hub.
CEARÁ STATE COURT OF ACCOUNTS · TCE-CE
Developed large-scale institutional systems: Contexto (full-text search over the entire TCE database), the official TCE-CE mobile app (Android and iOS), and Controle Cidadão (citizen reporting app for public resource misuse). Stack: Java, Spring Boot, Angular, Ionic, Oracle, Elasticsearch, Docker.
VERDE TECNOLOGIA
Developed computer vision systems for traffic monitoring, OCR for license plate recognition, and embedded systems on Raspberry Pi. Java, Python, OpenCV, and Linux for public and private sector clients.
FOTOSENSORES TECNOLOGIA ELETRÔNICA
Developed highway speed enforcement systems integrating embedded hardware, image capture cameras, and artificial neural networks for vehicle classification by magnetic profile. Java, C++, Python, Android, Linux.
Open to national and international research collaborations, institutional partnerships, academic supervision, and participation in research networks in Computer Vision, Transportation Engineering, and Intelligent Systems.
