Da Shi | Structural engineering | Best Researcher Award

Dr. Da Shi | Structural engineering | Best Researcher Award

Doctor, Zhejiang University, China

Soukaina Elkadaoui is a junior scientific researcher specializing in biochemistry, microbiology, and medical science. Born on March 20, 1997, she is known for her research on the physicochemical properties of chitosans and their antibacterial and antifungal effects. Soukaina is currently pursuing her PhD and is deeply involved in research that intersects pharmaceuticals, paramedical studies, and marketing.

Profile

Scopus

🎓 Education:

Soukaina Elkadaoui is currently pursuing her PhD at the Bioresources and Food Safety Laboratory, University Cady Ayyad Marrakesh (2021-2024). She holds a Master’s degree in Metrology and Quality from the Faculty of Sciences Semlalia, University Cady Ayyad Marrakesh (2018-2020). She completed her Bachelor’s degree in Biomedical Laboratory Technology at the Higher Institute of Health Sciences, Hassan 1st Settat University (2015-2017).

đź’Ľ Experience:

Soukaina has accumulated substantial research experience through various internships. She completed a research internship at the Microbiology Laboratory CHU MVI Marrakesh in February 2024, focusing on the antibacterial, antifungal, and antioxidant activities of chitosans. From April 2021 to January 2024, she interned at the LIRBM laboratory of the National School of Education (ENS), where she worked on the preparation and characterization of chitins and chitosans from insects and marine waste. In 2019, she had an operational internship at the Microbiology Laboratory CHU MVI Marrakesh, where she developed evaluation grids according to ISO15189 standards and performed comprehensive sample analysis procedures.

🔬 Research Interests:

Soukaina’s research interests include the study of chitosans’ physicochemical properties, biochemistry, microbiology, and the development of pharmaceutical and paramedical applications. She is particularly focused on optimizing extraction conditions and characterizing chitosans derived from various sources.

📚 Publications Top Notes:

Valorization of Hermetia illucens breeding rejects by chitins and chitosans production. Influence of processes and life cycle on their physicochemical characteristicsInternational Journal of Biological Macromolecules, 2024.

Cited by: Articles on chitosan production and applications.

Extraction of chitin, preparation of chitosan and their structural characterizationHandbook of Natural Polymers, Volume 1, Elsevier, 2023.

Cited by: Research on natural polymer extraction and applications.

Investigation of the desert locust (Schistocerca gregaria) and its different morphological parts as a chitinous source – Submitted to Polymer Bulletin.

Cited by: Pending publication, expected to influence studies on chitin sources.

Markus Miller | Electrical Engineering Award | Best Researcher Award

Mr Markus Miller | Electrical Engineering Award | Best Researcher Award

Mr Markus Miller, Institute of Automation Technology, University of Bremen ,Germany

👨‍🎓 Markus Miller is an accomplished electrical engineer and Ph.D. researcher at the University of Bremen’s Institute of Automation Technology under Prof. Dr. Johanna Myrzik. His work focuses on integrating renewable energy into power grids, developing methodologies for hybrid AC-DC systems. Markus excels in probability and stochastic processes, aiding power grid planning as a tutor for “Stochastic Systems.” Noteworthy achievements include winning the 2016 Bremen Big Data Challenge. His research emphasizes cost-effective, flexible, and resilient grid expansion using AI and optimization techniques. Currently, he explores Smart Power Cells (SPCs) under the DFG SPP 1984 program, addressing challenges in decentralized power systems and Distributed Energy Resources (DERs).

Publication Profile

Orcid

Education

🎓 Markus Miller pursued his academic journey at the University of Bremen, where he earned a Bachelor of Science in Electrical Engineering and Information Technology from 2015 to 2019. Building upon this foundation, he continued to excel, completing his Master of Science in the same field from 2019 to 2021. His education equipped him with profound knowledge in electrical engineering, preparing him for his current role as a Ph.D. researcher specializing in renewable energy integration at the Institute of Automation Technology. Markus’s academic path underscores his dedication to advancing sustainable energy solutions and enhancing power grid efficiency through innovative methodologies and advanced technologies.

Experience

🔋 Markus Miller is currently immersed in pioneering research at the University of Bremen, focusing on integrating renewable energy into power grids. His work centers on developing comprehensive methodologies for planning interconnected hybrid and multimodal AC-DC power systems. As part of the DFG SPP 1984 program’s second phase, Markus explores the pivotal role of Smart Power Cells (SPCs) in decentralized power networks. Leveraging AI and mathematical programming solvers, he optimizes SPC operations and planning, tackling challenges such as Distributed Energy Resources (DERs), power generation uncertainties, and storage system operations. Additionally, Markus imparts his expertise as a tutor for “Stochastic Systems,” enhancing students’ grasp and application of probability and stochastic processes in power grid planning.

 

Research Focus

Markus Miller’s current research focuses on optimizing the allocation of renewable energy systems within weak distribution networks. This work, highlighted in the journal article “Optimal allocation of renewable energy systems in a weak distribution network” published in Electric Power Systems Research, aims to enhance the integration of renewable energy sources into power grids. Collaborating with JosĂ© Luis Paternina Durán, Sergio F. Contreras, Camilo A. Cortes, and Johanna M.A. Myrzik, Markus addresses critical challenges such as grid stability and efficiency. By employing advanced methodologies and leveraging interdisciplinary insights, his research contributes to sustainable energy solutions that are crucial for meeting future energy demands while minimizing environmental impact.

Publication Top Note

Optimal allocation of renewable energy systems in a weak distribution network