Prof. Fatma Zahra Sayadi | Neuro-AI Awards | Women Researcher Award

Published on by Network Awards

Prof. Fatma Zahra Sayadi | Neuro-AI Awards | Women Researcher Award

Prof. Fatma Zahra Sayadi, Ecole Nationale d’Ingenieur de Sousse (ENISO)/ laboratoire Noccs, Tunisia

Fatma Zahra Sayadi is an Associate Professor specializing in Electronics and Microelectronics at the National Engineering School of Sousse (ENISO) in Tunisia. With a diverse academic background spanning from electrical engineering to digital innovation, she holds a Doctor of Engineering qualification and has over 25 years of experience in academia. Sayadi’s research interests include embedded systems, video processing, FPGA-based design, signal processing, image processing, and computer engineering, with notable contributions in intelligent pattern recognition and deep learning for medical applications. She has supervised numerous doctoral and master’s theses and has an extensive publication record, including journal papers, conference presentations, and book chapters. Additionally, Sayadi is actively involved in organizing international scientific events and serves on various scientific committees, reflecting her commitment to advancing knowledge and fostering innovation in her field.

Professional Profile:

Google Scholar

👩‍🎓 Education:

Fatma El Zahra Sayadi pursued her academic journey in Tunisia, culminating in several notable achievements. In 2006, she completed her Ph.D. in Physics with a specialization in Electronics from the Faculty of Sciences of Monastir. Her research during this period laid the foundation for her future contributions to the field. Subsequently, in 2018, she attained her Habilitation à diriger la Recherches (HDR) from the same institution, further solidifying her expertise and paving the way for her to supervise research. This significant milestone marked her ability to guide and mentor aspiring researchers in her field. Building upon her academic accomplishments, Fatma continued her pursuit of knowledge and professional development. In 2020, she obtained a Certificate of Complementary Education (CEC) from the Faculty of Medicine of Sousse. This certification reflected her commitment to staying abreast of advancements in pedagogical and digital innovation, enhancing her teaching methodologies and academic contributions. Through her dedication to continuous learning and research excellence, Fatma El Zahra Sayadi has established herself as a respected figure in the realm of electronics and microelectronics.

🏆 Awards:

In 2023, Fatma El Zahra Sayadi was honored with the prestigious Best Research Proposal Award at the 4th Forum for Women in Research, hosted by the University of Sharjah. This accolade stands as a testament to her outstanding contributions and innovative ideas in the field of electronics and microelectronics. Her research proposal showcased her ability to address pressing issues and push the boundaries of knowledge within her discipline. This recognition not only underscores her academic prowess but also highlights her dedication to advancing research and empowering women in STEM fields. By receiving this esteemed award, Fatma further solidified her reputation as a trailblazer and role model in the academic community.

🔍 Research Activities:

Fatma El Zahra Sayadi’s impact on the academic community is reflected in her impressive scholarly metrics and contributions. With an h-index of 14 and 575 citations on Google Scholar, she has demonstrated the influence and reach of her research endeavors. Her work has been disseminated widely, with 35 journal papers and 36 conference papers enriching the scholarly discourse in electronics and microelectronics. Additionally, Fatma has contributed significantly to the academic literature through her involvement in six chapters in edited scientific books, providing valuable insights to readers in her field.Beyond her own research output, Fatma has played a crucial role in nurturing the next generation of scholars. Having supervised seven Ph.D. theses and eight master theses, she has shared her expertise and guidance with emerging researchers, facilitating the creation of new knowledge and advancing the frontiers of science. Through her prolific scholarship and dedication to mentorship, Fatma El Zahra Sayadi continues to leave a lasting impact on the academic landscape.

Publication Top Notes:

  1. Optimized parallel implementation of face detection based on GPU component
    • Published: 2015 in Microprocessors and Microsystems
    • Cited by: 36
  2. Optimisation of HEVC motion estimation exploiting SAD and SSD GPU‐based implementation
    • Published: 2018 in IET Image Processing
    • Cited by: 30
  3. Harris corner detection on a NUMA manycore
    • Published: 2018 in Future Generation Computer Systems
    • Cited by: 37
  4. Fast CU partition-based machine learning approach for reducing HEVC complexity
    • Published: 2020 in Journal of Real-Time Image Processing
    • Cited by: 45
  5. CNN-SVM learning approach based human activity recognition
    • Published: 2020 in Image and Signal Processing: 9th International Conference, ICISP 2020
    • Cited by: 58