AI and Electrical Engineering Researcher, Mutah university, Jordan.
Amjaad Tayel Altakhaineh is a skilled Telecommunications and Machine Learning Engineer based in Amman, Jordan. With over 3 years of experience, she excels in designing 5G/6G antennas, machine learning models, and data analysis. Her expertise spans from RF and antenna systems to AI-driven solutions for wireless communication. Amjaad is proficient in programming with Python and has contributed to numerous technical projects in both telecommunications and AI. She is an adept researcher, having worked on various projects in machine learning and antenna design for healthcare and smart city applications.
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Education 🎓
Amjaad Tayel Altakhaineh is a dedicated engineer with a strong academic background in artificial intelligence and telecommunications. She completed her Diploma in AI and Machine Learning at Al Hussein Technical University, Jordan, in January 2023. Her capstone projects focused on cutting-edge solutions, including a deep learning approach to track breast cancer tumor evolution using antennas and a project aimed at reducing wireless communication traffic in smart city systems through artificial neural networks.
Prior to that, Amjaad earned her Master’s degree in Telecommunications Engineering from The University of Mutah, Jordan, in January 2022, where she graduated as the top student with a thesis titled “A New 5G Antenna with Large Frequency Ratio based on Dual-mode Composite,” achieving an impressive GPA of 92.29%. Her work demonstrated innovative designs for future telecommunication systems.
Her academic journey began with a B.Sc. in Electrical Engineering with a specialization in Telecommunications, also from The University of Mutah, which she completed in September 2016. Her undergraduate capstone project, “Smart Hat for Blind and Poor Vision People,” which garnered an excellent score of 85.36%, reflected her commitment to applying engineering principles to address real-world problems.
Experience đź’Ľ
Amjaad Tayel Altakhaineh has been serving as a Research Assistant at NATO since April 2022, where she focuses on antenna design for disaster applications and AI models. Her role includes contributing to research paper publications and participating in antenna measurement processes, showcasing her expertise in advanced technologies.
Previously, she worked as a Telecom Engineer Trainee at the Ministry of Communication from August 2017 to August 2018. There, she was responsible for supervising and maintaining network systems and testing communication technologies, gaining hands-on experience in the telecommunications field.
In her current role as a Python Programming Instructor at Pioneers-Jordan and the American University of Madaba (since August 2023), Amjaad teaches Python programming, data science, and machine learning, imparting her knowledge to students and professionals eager to advance their skills in these domains
Research Interests 🔍
Artificial Intelligence and Machine Learning: Proficient in applying AI techniques for various applications, including predictive modeling and data analysis.
Antenna Engineering for 5G/6G and RF Applications: Focused on designing antennas optimized for advanced telecommunications standards, contributing to her research at NATO.
Predictive Modeling and Data Analysis: Skilled in using data-driven methods to forecast trends and inform decision-making processes in various fields.
AI in Smart City and Healthcare Systems: Engaged in projects that leverage AI to improve infrastructure and health services, enhancing quality of life in urban environments.
Electromagnetic Simulation for Telecommunications: Experienced in using simulation tools to analyze and optimize the performance of communication systems, ensuring efficient and reliable network operations.
Awards 🏆
First Rank in the B.Sc. Program (2014-2016)
First Rank in the M.Sc. Program (2019-2022)
Al Hussein Technical University Diploma Scholarship (2022-2023)
Publications Top Notes đź“š
Machine Learning-Aided Dual-Function Microfluidic SIW Sensor Antenna for Frost and Wildfire Detection Applications Energies Published: October 19, 2024 Contributors: Amjaad T. Altakhaineh, Rula Alrawashdeh, Jiafeng Zhou. Link
A Deca-Band, Shared-Aperture, Dual-Mode Composite Antenna for Microwave and Millimeter-Wave 5G Applications
International Review of Electrical Engineering Published: 2023 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh. Link
A Quad-Band Shared-Aperture Antenna Based on Dual-Mode Composite Quarter-Mode SIW Cavity for 5G and 6G with MIMO Capability Electronics (Switzerland) Published: 2023 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh, A.M. Almatarneh, E. Almajali, L. Al-Tarawneh, J. Yousaf. Link
Machine Learning-Enhanced Microfluidic SIW Sensor for Water-in-Fuel Detection Applications 2023 14th International Conference on Information and Communication Systems, ICICS 2023 Published: 2023 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh. Link
A Dual-Frequency Single-Slot Substrate Integrated Waveguide Antenna for 5G Millimeter Applications 2022 International Conference on Emerging Trends in Computing and Engineering Applications, ETCEA 2022 – Proceedings Published: 2022 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh. Link