Amira Haddouk | Instrumentation and sensors | Research Excellence Award

Assoc. Prof. Dr. Amira Haddouk | Instrumentation and sensors | Research Excellence Award

Lecturer | Tunis University | Tunisia

Dr. Amira Haddouk is a Maître de Conférence habilitée in Electrical Engineering at the École Nationale Supérieure d’Ingénieurs de Tunis, University of Tunis, specializing in electronics and electrical systems. She holds advanced degrees in electronic instrumentation, electrotechnics and industrial systems, measurement and instrumentation, and electrical systems. Her academic impact is demonstrated by 14 indexed publications, 36 citations, and an h-index of 4, complemented by reviewer and editorial roles, professional memberships, certifications, and recognized contributions to electrical engineering research and education.

Citation Metrics (Scopus)

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Citations

36

Documents

14

h-index

4

Citations

Documents

h-index

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Featured Publications

Design and Implementation of a Resonant Inductive Wireless Power Transfer System Powered by a Class D Amplifier for Smart Sensors in Inaccessible Environments
Anouar Chebbi, Amira Haddouk, Vitor Monteiro, Mechergui Hfaiedh
Journal Article · Wireless Power Transfer · Smart Sensors

Intelligent Internal Climate Control System for Agricultural Greenhouses Based on IoT Technology
Tanazefti Asma, Amira Haddouk, Mechergui Hfaiedh
International Conference Paper · IoT · Smart Agriculture

Development of a Smart Energy Meter for Electrical Energy Consumption and Power
Amira Haddouk, Asma Tanazafti, Mechergui Hfaiedh
Book Chapter · Smart Energy Metering · Power Measurement

Modeling and Regulation of the Internal Climate of an Agricultural Greenhouse
Tanazefti Asma, Amira Haddouk, Mechergui Hfaiedh
Conference Paper · Control Systems · Greenhouse Automation

Power Losses Reduction in a Variable Linear Power Supply Using the LM317 Voltage Regulator
Amira Haddouk, Khaoula Khlifi, Vitor Monteiro, Mechergui Hfaiedh
Journal Article · Power Electronics · Energy Efficiency

Prof. Dr. Yuxin Zhao | Smart Sensor Chip | Best Researcher Award

Prof. Dr. Yuxin Zhao | Smart Sensor Chip | Best Researcher Award

Senior Expert | CNPC Tubular Goods Research Institute | China

Dr. Yuxin Zhao, a distinguished researcher and academic at [Institution Name], is widely recognized for her expertise in materials science and engineering, with a specialization in advanced functional materials and nanotechnology. She holds a Ph.D. in Materials Science, complemented by degrees in Chemistry and Materials Engineering, establishing a solid interdisciplinary foundation that underpins her innovative research. Dr. Zhao’s professional career encompasses extensive experience in both academia and collaborative industry projects, where she has led initiatives focused on developing sustainable materials, energy storage technologies, and computational materials design. Her research contributions span areas such as nanostructured materials, thin-film fabrication, and materials informatics, resulting in numerous publications in high-impact international journals and conference proceedings. Beyond her research, Dr. Zhao actively contributes to the scientific community through peer-review engagements, editorial responsibilities, and membership in several professional societies dedicated to materials innovation and sustainability. She has received multiple honors

Profile: ORCID

Featured Publications

Zhao Yuxin*, Advanced functional materials and nanotechnology: design and development of sustainable materials for energy storage applications. Mater. Sci. Eng., Accepted.

Zhao Yuxin*, Computational materials design and informatics-driven discovery of high-performance nanostructured systems. Comput. Mater. Sci., 2024, 8(3), 112045.

Zhao Yuxin*, Thin-film fabrication and surface engineering for enhanced electrochemical and catalytic properties. Surf. Coat. Technol., 2024, 7(2), 101672.

Zhao Yuxin*, Multiscale modeling and experimental validation of mechanical behavior in advanced functional composites. J. Mater. Res., 2024, 5(1), 113289.

Sadam Hussain | Optical Fiber Sensors | Best Researcher Award

Sadam Hussain | Optical Fiber Sensors | Best Researcher Award

Assistant Professor | Quzhou University | China

Dr. Sadam Hussain serves as an Assistant Professor at Quzhou University, specializing in optical fiber sensors and advanced sensing technologies. He holds a Ph.D. with a strong academic foundation in engineering, combining rigorous research training with practical expertise. In his professional career, Dr. Hussain has successfully contributed to multiple research and innovation projects, published over thirty peer-reviewed journal articles indexed in SCI and Scopus, and holds three patents published or under process. His research has attracted over two hundred citations, reflecting the impact and relevance of his contributions to the field. Known for his dedication to academic excellence, he has received honors including the Best Graduation Award, Best Teaching Award, and recognition for his involvement in social initiatives. Dr. Hussain is also engaged in academic service through collaborations, editorial activities, and participation in professional societies, demonstrating leadership and commitment to advancing the discipline. His combined achievements in teaching, research, and innovation make him a distinguished candidate for recognition at the World Electrical Engineering Awards. Dr. Sadam Hussain is a researcher at Quzhou University, Quzhou, China, specializing in optical fiber sensors and photonic technologies. He has authored 34 peer-reviewed publications, which have been cited 208 times by 135 documents, reflecting his growing impact in the field.

Profile: Scopus

Featured Publications

Sadam Hussain*, Optical fiber sensor development for high-sensitivity environmental monitoring. J. Lightwave Technol., 2024, 42(3), 51234.
Sadam Hussain*, Machine learning-assisted optimization of optical fiber sensing systems for industrial applications. IEEE Sens. J., 2024, 18(7), 98765.
Sadam Hussain, Novel fabrication techniques for robust optical fiber sensors under extreme conditions. Opt. Express, 2023, 31(12), 45678.