Full Professor at University of the Sinos River Valley, Brazil
Cristiano André da Costa is a seasoned academic and researcher with over two decades of contributions in applied computing. He serves as a full professor and heads the SOFTWARELAB, an innovation hub focusing on software solutions. His academic journey spans national and international institutions, including a visiting professorship in Germany, and he holds extensive experience in guiding research, innovation, and industry collaboration.
Profile
Scopus | ORCID | Google Scholar
Best Researcher Award
Cristiano Costa is highly suited for the “Best Researcher Award” due to his exemplary contributions to artificial intelligence and applied computing in healthcare. His research bridges academia and industry, reflected in his leadership of innovation-driven projects, high citation metrics, and impactful scholarly output. His recognition as a CNPq Productivity Researcher further reinforces his eligibility.
Education
He holds both a Master’s and a Ph.D. in Computer Science from Universidade Federal do Rio Grande do Sul (UFRGS), Brazil. These qualifications laid a strong foundation for his career in academic research, teaching, and cross-disciplinary collaboration.
Experience
Since 2000, he has been affiliated with Universidade do Vale do Rio dos Sinos. He has directed several interdisciplinary projects, including digital health and blockchain technologies, and has acted as a consultant for top-tier companies such as Dell, SAP, Siemens Healthineers, and Santander Bank. His academic leadership includes editorial roles and extensive supervision of postgraduate research.
Research Interest
His primary research interests lie in distributed and mobile computing, Internet of Things (IoT), semantic interoperability, and artificial intelligence, with a special emphasis on applications in digital health. He has also contributed significantly to machine learning, computer vision, and deep learning models, particularly in health data analytics.
Publication
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2025 – IEEE Pervasive Computing
Title: Breaking Down the Data Path in Digital Health: From Edge to Fog and Beyond
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2025 – Clinical & Biomedical Research
Title: Inequalities and risk factors of COVID-19 patients with Down syndrome: a Brazilian cross-sectional, analytical-exploratory study
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2025 (February) – The International Journal of Advanced Manufacturing Technology
Title: Digital twin for product design collaboration: a systematic literature review
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2024 (December) – Expert Systems with Applications
Title: CheXReport: A transformer-based architecture to generate chest X-ray reports suggestions
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2024 (November) – Internet Technology Letters
Title: On proposing an intelligent model for tracking agrochemicals
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2024 (August) – Computers and Electrical Engineering
Title: A method to predict the percentage of biodegradation in polymeric materials
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2024 (July) – Expert Systems with Applications
Title: SOAP classifier for free-text clinical notes with domain-specific pre-trained language models