Ms. Sara Dankir | Computer Science | Best Researcher Award

Phd student at University Polytechnic of Catalunya, Spain

Sara Dankir is a PhD student in Engineering Science at the University Polytechnic of Catalonia, with a solid academic foundation in electronic and automatic systems. She completed her MSc in Engineering of Electronic and Automatic Systems and has practical experience through internships and academic projects. Her work spans areas like automation, instrumentation, process improvement, and design of real-time systems, supported by strong technical skills in programming and system modeling.

professional profile

ORCID

Education

Sara Dankir’s educational background is rooted in a strong academic journey that spans across two countries. She is currently pursuing a PhD in Engineering Science at the University Polytechnic of Catalonia in Barcelona, Spain, where she specializes in electronic and automatic systems. Prior to this, she completed her MSc in Engineering of Electronic and Automatic Systems from the National School of Applied Sciences in Tangier, Morocco. During her master’s studies, Sara focused on areas such as digital control, system diagnostics, and the design of real-time systems. She also holds an undergraduate degree in preparatory classes for engineering schools, along with a Mathematics Baccalaureate from High School Mohammadi in Ksar El Kebir, Morocco. Sara’s diverse academic experiences have equipped her with deep technical knowledge and the ability to apply it to both academic and industry-related challenges.

work Experience

Sara Dankir has gained practical experience through a variety of internships and academic projects. At LEAR Corporation, she worked on improving the Total Productive Maintenance (TPM) process in the cutting area, optimizing efficiency and reducing operational costs. During her application internship at SNEP Mohammadia, she played a key role in the automation and instrumentation of the STRIPPING section using Distributed Control Systems (DCS). Additionally, she has been involved in academic projects such as designing and modeling a recycling bin using sensors and Arduino, as well as developing a graphical interface for image and video processing using MATLAB. Her technical expertise also extends to electronic boards programming, FPGA design, and real-time system development. With proficiency in a wide range of programming languages and software tools, Sara’s experience spans both research-driven innovation and real-world engineering applications.

Research Focus

Sara Dankir’s research focuses on the intersection of automation, control systems, and real-time engineering. Her current PhD research at the University Polytechnic of Catalonia delves into the diagnostic and optimization of automatic systems, with an emphasis on state representation and digital control of linear systems. She is particularly interested in the application of hardware description languages such as VHDL and Verilog for FPGA design, aiming to enhance system stability and performance. Sara’s research also explores the use of observer command FDI (Fault Detection and Isolation) techniques to improve the reliability of automated systems. Additionally, she is investigating the development of real-time systems for industrial applications, with the goal of integrating advanced technologies like IoT and AI for automation. Her technical expertise in programming and system design supports her innovative approach to engineering challenges, making her research highly relevant to today’s technological advancements.

Awards and honors

Sara Dankir has earned recognition for her academic and technical contributions throughout her educational journey. During her time at the National School of Applied Sciences, she received accolades for her exceptional performance in engineering projects, particularly in automation and system modeling. Although Sara is early in her academic career, her potential for impactful research and innovation has been acknowledged by her professors and peers. She has also been a recipient of merit-based scholarships that supported her studies in electronic and automatic systems. Sara’s practical work during her internships has received praise from industry professionals, particularly for her contributions to process improvements at LEAR Corporation and automation projects at SNEP Mohammadia. While her formal awards list may be growing, her technical skills and academic dedication position her as a strong candidate for future honors in the field of engineering.

Conclusion

Sara Dankir has an excellent background in engineering science with notable strengths in technical skills, project management, and innovation. However, to stand out as a candidate for the Best Researcher Award, she may need to strengthen her research portfolio through publications and increase her visibility in the international research community. With more focus on research contributions and collaborations, she could become a more competitive candidate for such prestigious recognition.

Sara Dankir | Computer Science | Best Researcher Award