SA'ED AHMAD QWAITEEN ALAJLOUNI

Sa'ed Ahmad Qwaiteen Alajlouni	Associate Professor
Electrical Engineering (signals, systems, and controls)	Mechatronics Engineering
Faculty of Engineering	Department of Mechatronics Engineering
Saed@hu.edu.jo	http://staff.hu.edu.jo/alajlouni
ORCID ID : 17864551
Office No. : 3093	EXT : 4878

C.V. Document file as PDF:

Ph.D.	Virginia Tech (Virginia Polytechnic Institute and State University)	The United States of America,2017
Master	Texas Tech University	The United States of America,2013
Bachelor	The Hashemite University	Jordan,2008

Smart environments/devices; optimal estimation; sensor networks; dynamical systems; signal processing; inverse analysis; data-driven engineering; vibrations; and real-time algorithms.

Selected Publications (17 published works; link to google scholar profile: https://scholar.google.com/citations?user=JI_c5ccAAAAJ&hl=en&authuser=2)

Selected Journal Articles, 1st author
1.	“Maximum Likelihood Estimation for Passive Energy-Based Footstep Localization”. Sa’ed Alajlouni, Jonathan Baker, and Pablo Tarazaga. Mechanical Systems and Signal Processing, 2022. (IF 2024: 7.9)
2.	Sa’ed Alajlouni, “Solution to the Control Problem of Laser Path Tracking Using Risley Prisms”, IEEE/ASME Transactions on Mechatronics, 2016. (Impact factor 2024: 6.1)
3.	“A Passive Energy-Based Method for Footstep Impact Localization, Using an Underfloor Accelerometer Sensor Network with Kalman Filtering”. Sa’ed Alajlouni and Pablo Tarazaga. Journal of Vibration and Contro, 2020. (IF 2024: 2.3)
4.	“Impact Localization in Dispersive Waveguides Based on Energy-Attenuation of Waves with the Traveled Distance”. Sa’ed Alajlouni, Mohammad Albakri, and Pablo Tarazaga. Mechanical Systems and Signal Processing (MSSP), 2018. (IF 2024: 7.9)
5.	[in progress] “Tracking Indoor Occupants Using Long-Short Term Memory Models and Footstep-Induced Floor Vibrations”. Ahmad Al-mahasneh, Sa’ed Alajlouni, et al.

Selected Conference Articles
1.	“A New Impact Localization Method Based on Spatially Sparse FRFs: Evaluation Using an FE Beam Model”. S. Alajlouni, V.V.N.S. Malladi, and P. Tarazaga. IMAC 2024. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham.
2.	“Investigation of Using Log-Spectrum Averaging (Cepstral Averaging) For Blind Reconstruction of an Unknown Impact Input Force”. S. Alajlouni, V.V.N.S. Malladi, and M. Ambarkutuk, IMAC 2022. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham.
3.	“Anomaly Detection in Liquid Pipelines Using Modeling, Co-Simulation and Dynamical Estimation”. S. Alajlouni and V. Rao, in Critical Infrastructure Protection VII, Berlin, Heidelberg, 2013 (link).

 Signals and Systems, Machine Learning, Linear Controls, Building Automation Systems, Transducers/Controls Lab, Electric Machines.

 IEEE, JEA, Sigma Xi (honor society).

Highlighted Training Courses
•	“Data Science with Python”. Extensive 60-hour course covering python syntax and implementation of machine learning algorithms. Held in Jordan Feb-June 2025)
•	Regional training course at Bhabha Atomic Research Center (BARC) on “Development of a Near Surface Disposal Facility”, held in Mumbai, India; 15-19 February 2010.
•	“Pumps and Valves; selection and troubleshooting”, held in Jordan Engineers Association; 25 training hours in the period 1-10 November 2009.

SA'ED AHMAD QWAITEEN ALAJLOUNI

SA'ED AHMAD QWAITEEN ALAJLOUNI

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