Monika Gębara | Modelling of Hysteresis Loops | Women Researcher Award

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Ms. Monika Gębara | Modelling of Hysteresis Loops | Women Researcher Award

Czestochowa University of Technology | Poland

Ms. Monika Gębara is an emerging researcher in applied physics whose work centers on magnetism, nonlinear dynamics, and complex behavior in electrical and physical systems. She has authored 6 research documents, accumulating 12 citations across 9 citing publications, with an h-index of 2, reflecting growing scholarly influence. Her research explores DC-bias effects on magnetization modeling, voltage- and frequency-dependent dynamics in RLD circuits, and chaotic and fractal phenomena in physical systems. She has also contributed to studies on critical behavior near the Curie temperature in magnetic alloys and the visualization of Lorentz forces using fractal structures. Her publications appear in reputable physics journals such as Physica B: Condensed Matter and Acta Physica Polonica A, highlighting her contributions to experimental and theoretical understanding of magnetic materials, nonlinear circuits, and complexity-driven phenomena in condensed matter and applied physics.

Citation Metrics (Scopus)

15

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12

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h-index


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Kazi Naimur Rahman -Mechatronics – Excellence in Research

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Kazi Naimur Rahman -Mechatronics

Mr. Kazi Naimur Rahman distinguished academic and researcher in the field Mechatronics and Computer Vision.  Kazi Naimur Rahman is a dedicated researcher with a profound passion for advancing knowledge in Mechatronics and Computer Vision. His academic journey is a testament to his commitment to rigorous exploration, showcasing a deep enthusiasm for contributing to cutting-edge projects and collaborating with fellow researchers. His expertise lies at the intersection of Mechatronics and Computer Vision, where he strives to push the boundaries of innovation and make significant contributions to these fields. Kazi Naimur Rahman’s relentless pursuit of excellence and collaborative spirit position him as a valuable asset in the realm of research, poised to make meaningful advancements in the convergence of Mechatronics and Computer Vision.

🌐 Professional Profiles

Educations: 📚🎓

He completed his Bachelor of Science in Engineering from the Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology in 2022. His academic journey continued as he pursued a Master of Science in Engineering from the Department of Mechanical Engineering at the same university, completing it in 2023. These educational experiences have equipped him with a strong foundation in both Mechatronics and Mechanical Engineering, shaping his expertise and preparing him for a promising career in the intersection of these fields.

Research Interests: 🧬🔬

Highly secured and Effective management of app-based online voting system using RSA encryption and decryption, deep learning verification technique, database security, admin panel. Applications of Network Science and Graph Analytics in Social, Biological, and Technological Networks,Mechatronics and Computer Vision,

Experience

After completing his Bachelor of Science in Engineering from the Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology (CUET) from 2017 to 2022, he took on the role of a lecturer in the same department at CUET. Currently stationed at CUET-4349 in Pahartali, Raozan, Chattogram, he has dedicated one year to his position. During this time, he has made significant contributions to research, with a notable achievement of publishing two Q1 journal articles on ScienceDirect. His research encompasses areas such as networking, deep learning, machine learning, and also involves app development. His commitment to academic excellence and research output showcases his dedication to advancing knowledge in the field of Mechatronics and Industrial Engineering.

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