Postdoctoral Research Associate at YIBS and CS department at Yale University , United States🎓
Nadia ZIKIOU is an accomplished researcher and educator specializing in Electronics and remote sensing. With a strong foundation in deep learning and image processing, she currently holds a postdoctoral associate position at Yale University, focusing on transformational environmental science. Her work bridges academia and practical applications, aiming to contribute to advancements in technology and education.
Professional Profile
🎓 Education
Nadia obtained her Bachelor’s degree in Electrical Engineering and Electronics with honors from Mouloud Maameri University in June 2009. 🎓 She then pursued a Magister in Electronics, graduating in October 2014, focusing on remote sensing. Her Doctorate in Electronics, awarded in 2020 with “Very Honorable” mention, emphasized hyperspectral texture classification and compression, conducted in collaboration with XLIM laboratory in France. 🌍 Currently, she is working as a Postdoctoral associate at Yale University, set to complete her program in July 2024.
🏢 Work Experience
Nadia has accumulated extensive experience in both research and teaching. 💼 Her scientific production includes several international publications and communications, reflecting her expertise in hyperspectral imaging and machine learning applications. Additionally, she has supervised numerous projects for senior technicians and master’s theses, showcasing her leadership in academic settings.
🧬 Skills
Nadia possesses a diverse skill set, including proficiency in deep learning, image processing, and remote sensing techniques. 💡 She is adept at using various software tools and programming languages for data analysis and visualization, enhancing her research capabilities. Her technical expertise is complemented by strong pedagogical skills, allowing her to effectively communicate complex concepts to students.
Awards and Honors
Throughout her academic journey, Nadia has received numerous accolades for her achievements. 🏅 Her degrees were awarded with distinctions, including honors for her Bachelor’s and Doctorate programs, reflecting her commitment to excellence in her field.
🌍 Memberships
Nadia is an active member of several professional organizations related to electronics and remote sensing, which keeps her engaged with the latest advancements and research in her field. 🤝 Her participation in conferences and workshops further enhances her professional network and collaborative opportunities.
📚 Teaching Experience
Nadia’s teaching experience spans over a decade, where she has conducted lectures and practical sessions in various subjects such as digital electronics and microprocessors. 📖 She has successfully guided students through their academic journeys and contributed to their professional development through co-supervision of theses and practical work.
🔬 Research Focus
📚 Publilcation
- Sentinel-2 data classification for land use land cover mapping in northern Algeria
- Year: 2023
- Journal: Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX
- Hyperspectral image classification using graph-based wavelet transform
- Year: 2019
- Journal: Journal of Remote Sensing
- Support vector regression-based 3D-wavelet texture learning for hyperspectral image compression