Dr. Laila Dami | Automatic control | Best Researcher Award

Cadi Ayyad University | Morocco

Dr. Laila Dami, is a dedicated researcher and educator in the field of electrical engineering and automation. She earned her doctorate in génie électrique et automatique from the université cadi-ayad, faculté des sciences semlalia, marrakech, with the distinction of très honorable avec félicitations du jury. Her academic background also includes a master’s degree in contrôle informatique industrielle, signaux et systèmes, and a professional licence in génie électrique et informatique industrielle. She has served as a primary school teacher under the ministère de l’éducation nationale du préscolaire et des sports, while actively engaging in higher education through practical teaching assignments at the faculté des sciences semlalia, department of physics. Her academic involvement covers key domains such as optics, Automatic control, digital electronics, and applied electricity. Dr. Dami’s research contributions are reflected in her scholarly metrics, with 12 published documents, 54 citations across 33 documents, and an h-index of 5, underscoring her growing impact in the scientific community. Her expertise bridges theoretical research and practical application, contributing to the advancement of electrical engineering and automation education in morocco.

Profiles: Scopus | Orcid

Featured Publications

Dami, L., Badie, K., Naami, G., & Benzaouia, A. (2025, December). Stabilization of delayed fractional-order Takagi–Sugeno fuzzy positive systems. International Journal of Dynamics and Control.

Badie, K., Dami, L., & Chalh, Z. (2024). H∞ fault detection for 2D discrete Markovian jump systems. International Journal of Systems, Control and Communications.

Dami, L., Benzaouia, A., & Badie, K. (2024, December). Stabilization of continuous two-dimensional fractional-order positive Takagi–Sugeno fuzzy systems with delays. Journal of Control, Automation and Electrical Systems.

Dami, L., & Benzaouia, A. (2023, December). Stabilization of switched two-dimensional fractional-order positive systems modeled by the Roesser model. Journal of Control, Automation and Electrical Systems.

Dami, L., & Benzaouia, A. (2023, December 18). H∞ control for 2D continuous singular systems described by the Roesser model. In 2023 IEEE 11th International Conference on Systems and Control (ICSC).

Ms. Tamanna | Neural Networks for Robot Control | Best Researcher Award

Goethe University, Frankfurt | Germany

Tamanna is a Ph.d. researcher at Goethe University, Frankfurt, Germany, specializing in geochemistry with a focus on integrating data science and machine learning into geo-scientific research. Her work aims to bridge the gap between traditional geoscience and modern computational methodologies by leveraging data-driven approaches to analyze complex geochemical systems. She holds a bs-ms degree in earth and environmental sciences from the Indian institute of science education and research, Bhopal. her expertise spans elemental and isotopic geochemistry, geospatial analysis, statistical modeling, and predictive analytics for geochemical processes. She is proficient in programming and data visualization using python, Neural Networks for Robot Control, matlab, qgis, and arcgis. Tamanna has authored two research documents with approximately one citation and an h-index of 1 for those publications; overall, her author-level record includes 99 citations and an h-index of 6, according to google scholar. Beyond her technical skills, she is actively involved in interdisciplinary research that combines quantitative methods, laboratory work, and field investigations to enhance the understanding of earth’s chemical evolution. fluent in english and hindi, with working knowledge of german, she represents the next generation of data-driven geoscientists.

Profile: Orcid

Featured Publications

Tamanna, Hezel, D. C., & Marschall, H. R. (2025, October). MRMinerals and MineralTD: Machine‐Readable Mineral Formula and Compositions Data Set for Data‐Driven Research. Geoscience Data Journal.

Tamanna, Hezel, D. C., Srivastava, N., & Faber, J. (2025, August 13). Using machine learning for automatic rock classification. American Mineralogist.