Ms. Ioulia Kapsali | Smart EV Charging | Young Scientist Award 

Ms. Ioulia Kapsali | Smart EV Charging | Researcher at Industrial Systems Institute/ATHENA RC | Greece

Ms. Ioulia Kapsali is an accomplished researcher and engineer in the field of electrical and computer engineering, with a focus on artificial intelligence, machine learning, computer vision, and data-driven optimization. Her academic and professional journey reflects a blend of strong technical expertise, innovative problem-solving, and interdisciplinary applications that bridge engineering, computer science, and sustainable technologies. She has contributed to both academic research and applied projects, bringing forward advancements in artificial intelligence for robotics, biomedical applications, and energy optimization systems. Through her research, she has demonstrated a commitment to harnessing computational intelligence to address real-world challenges, contributing meaningfully to the global scientific community.

Academic Profile

ORCID

Education

Ms. Ioulia Kapsali completed her academic studies in electrical and computer engineering, where she acquired comprehensive knowledge of systems engineering, programming, signal processing, and optimization methods. During her academic training, she focused on areas such as artificial intelligence, neural networks, machine learning, and algorithmic problem-solving, developing a strong theoretical foundation complemented by practical projects. Her diploma thesis centered on energy cost and carbon-intensity optimization of electric vehicle charging, where she applied advanced optimization models to enhance the efficiency of smart grid operations. Through this work, she demonstrated her ability to combine engineering principles with sustainability-focused technologies, an approach that continues to define her academic and professional contributions.

Experience

Ms. Ioulia Kapsali has gained extensive experience across academia, research, and professional practice. She has been involved in European and international research initiatives, including collaborations under Horizon 2020 and Interreg Europe projects. In these contexts, she contributed to the design of machine learning algorithms, proposal writing, and multiparametric data analysis. She has worked as a computer vision engineer at AVISense.AI, where she applied advanced AI methods to develop innovative solutions in image and video analytics. Additionally, she has served as a project partner at the Computer Technology Institute and Press “Diophantus,” contributing to research and development initiatives in computer technology. Beyond her research roles, she has also demonstrated leadership as Head of Studies at a Secondary Education School, guiding academic management, mentoring students, and fostering interdisciplinary learning. Her experience showcases a balance of technical expertise, applied research, and educational leadership.

Research Interest

The research interests of Ms. Ioulia Kapsali span multiple domains within electrical and computer engineering. She is particularly focused on artificial intelligence and machine learning, with applications in computer vision, signal processing, and optimization. Her research addresses real-world challenges such as sustainable energy systems, intelligent robotics, and biomedical engineering solutions. She has explored deep learning techniques for visual data analysis, optimization methods for energy-efficient technologies, and data-driven approaches for predictive modeling. Her work in electric vehicle charging optimization demonstrates her interest in smart grids and low-carbon technologies, aligning with global priorities in sustainability. Additionally, she has worked on interdisciplinary applications that integrate computational intelligence with healthcare and environmental studies, reflecting the broad impact of her research interests.

Award

Ms. Ioulia Kapsali has been recognized for her academic and research achievements through participation in competitive programs, conferences, and workshops. Her contributions to European-funded research projects and her role as a computer vision engineer have brought her recognition in both academic and professional settings. She has been actively involved in presenting her research at international forums, where her work has been acknowledged for its innovation and practical applications. These recognitions highlight her role as a young researcher making valuable contributions to the advancement of artificial intelligence and engineering applications.

Selected Publication

• “Energy Cost and Carbon-Intensity Optimization of Electric Vehicle Charging in Smart Grids” (2022, 14 citations)

• “Machine Learning Algorithms for Multiparametric Data Analysis in Smart Systems” (2021, 11 citations)

• “Computer Vision Approaches for Object Recognition in Dynamic Environments” (2020, 9 citations)

• “Artificial Intelligence Applications in Biomedical Signal Processing” (2020, 7 citations)

Conclusion

In conclusion, Ms. Ioulia Kapsali exemplifies a dynamic and innovative researcher whose expertise lies at the intersection of electrical engineering, computer science, and artificial intelligence. Her academic foundation, combined with her research achievements, professional experience, and leadership roles, positions her as a strong candidate for international recognition. She has demonstrated the ability to apply advanced computational methods to pressing societal challenges, particularly in the fields of sustainable energy, intelligent robotics, and biomedical technologies. Her selected publications and active involvement in international projects underscore her commitment to advancing scientific knowledge while ensuring practical impact. With her growing contributions and potential for future leadership in research, Ms. Ioulia Kapsali stands out as a deserving nominee for this award.