Prof. Dr. Cristina M.R. Caridade is a Coordinate Professor at the Engineering School in Coimbra, 🇵🇹 with over 30 years of teaching experience. Holding a PhD in Applied Mathematics, she leads the Physics and Mathematics Department and contributes to research in digital imaging 🧠, STEM education 📘, and mathematical innovation 🔢. As part of EU-funded projects like ERASMUS+, she inspires future engineers with gamified learning 🕹️ and b-learning strategies 💻, promoting excellence in mathematics education.
Profile
🎓 Early Academic Pursuits
Prof. Dr. Cristina Maria Ribeiro Caridade began her academic journey with a degree in Mathematics from the University of Coimbra, Portugal. Her passion for applied mathematics led her to pursue a Master’s and PhD in Applied Mathematics from the University of Porto. These formative years laid the groundwork for her lifelong dedication to mathematical education and research in digital applications and pedagogy.
💼 Professional Endeavors
With over three decades of experience, Prof. Caridade has been a Coordinating Professor in the Mathematics Department of the Engineering School in Coimbra, Portugal. She is also the current President of the Physics and Mathematics Department at the same institution. Her leadership has significantly influenced the academic environment, fostering interdisciplinary and applied mathematical education.
🔬 Contributions and Research Focus On Engineering
Prof. Dr. Cristina’s research interests span a wide range of topics, including digital image processing, medical imaging, algorithms, and educational methodologies in mathematics. Her work emphasizes applied mathematics in engineering education, aiming to make complex topics more engaging for students. She also explores STEM, project-based learning, gamification, and the evaluation of mathematical competencies in higher education. Notably, she is part of research centers like CERNAS and SUScita and actively participates in numerous EU-funded projects such as ERASMUS+ and PDR2020.
🌍 Impact and Influence
Prof. Caridade’s contributions go beyond national borders. Through involvement in innovative educational initiatives like MATH-DIGGER and GIRLS, she fosters international collaboration and enhances global educational practices. Her research has improved teaching strategies and curriculum development across Europe, making mathematics more accessible and practical for engineering students.
🧠 Research Skills
Cristina Caridade is proficient in digital image processing, medical imaging, algorithm design, and applied mathematics techniques. She is skilled in integrating pedagogical strategies with technology, particularly in blended learning and gamified educational formats. Her methodological expertise in using the SOLO taxonomy and project-based learning has greatly advanced mathematics education research.
🏅 Awards and Honors
Though specific awards are not listed, Prof. Caridade’s leadership roles and her inclusion in high-impact European research projects demonstrate a career marked by esteem and professional recognition. Her role as a department president and contributor to various educational reform projects highlights her respected status in academia.
🏛️ Legacy and Future Contributions
Cristina M. R. Caridade’s legacy lies in her sustained contribution to the evolution of mathematics education, bridging the gap between theoretical mathematics and its application in engineering. Her efforts in promoting gender equity through the GIRLS project and enhancing digital literacy among students set a strong precedent for future educators. As she continues to influence policy, pedagogy, and international collaboration, her work will undoubtedly inspire the next generation of researchers and educators in STEM fields.
Publications Top Notes
📸 The use of texture for image classification of black & white air photographs
📰 International Journal of Remote Sensing
🔢 Cited by: 78 | 📅 Year: 2008
🧬 Evolutionary and experimental assessment of novel markers for detection of Xanthomonas euvesicatoria in plant samples
📰 PLoS One
🔢 Cited by: 34 | 📅 Year: 2012
📚 CAS and real life problems to learn basic concepts in Linear Algebra course
📰 Computer Applications in Engineering Education
🔢 Cited by: 21 | 📅 Year: 2015
🧪 Identification of Xanthomonas fragariae, Xanthomonas axonopodis pv. phaseoli, and Xanthomonas fuscans subsp. fuscans…
📰 Applied and Environmental Microbiology
🔢 Cited by: 19 | 📅 Year: 2011
🧫 An automatic Method to identify and extract information of DNA bands in Gel Electrophoresis Images
📰 IEEE Engineering in Medicine and Biology Society (EMBC)
🔢 Cited by: 18 | 📅 Year: 2009
📏 Project‐based teaching in Calculus courses: Estimation of the surface and perimeter of the Iberian Peninsula
📰 Computer Applications in Engineering Education
🔢 Cited by: 15 | 📅 Year: 2018
🎓 Applying image processing techniques to motivate students in linear algebra classes
📰 Learning
🔢 Cited by: 15 | 📅 Year: 2011
🛠️ Evaluating engineering competencies: A new paradigm
📰 IEEE Global Engineering Education Conference (EDUCON)
🔢 Cited by: 14 | 📅 Year: 2018
🧬 Automatic analysis of macroarrays images
📰 IEEE EMBC
🔢 Cited by: 14 | 📅 Year: 2010
💻 Tecnologias de informação e comunicação para o enriquecimento no ensino/aprendizagem
📰 Instituto Superior de Engenharia de Coimbra
🔢 Cited by: 11 | 📅 Year: 2012
🧮 GeoGebra augmented reality: Ideas for teaching and learning math
📰 International Conference on Mathematics and its Applications
🔢 Cited by: 10 | 📅 Year: 2021
🧬 Automatic detection of molecular markers in digital images
📰 IEEE EMBC
🔢 Cited by: 10 | 📅 Year: 2009