Asst.lect. Haider Raad Hafez
- PhD student at the University of Oldenburg, Germany / Faculty of Medicine / Department of Life Medicine and Medical Information

A research titled: Improving and removing kinetic distortions in the optical brain signals by hybridizing and merging the two wave methods and the enhanced wave correlation.

In the Swiss journal (Sensors ISSN: 1424-8220) affiliated with the MDPI publishing house, with an impact factor of 3.847, and classified within the Scopus index Q1 database, as part of the requirements for an international doctoral degree within Scopus repositories.

Where did the research take place
Near infrared spectroscopy (fNIRS) is a non-invasive optical neuroimaging technique that allows participants to move relatively freely. However, head movements often cause motions of the electrodes relative to the head, which introduce motion distortions in the measured signal. Here, we propose an improved algorithmic approach to correct those kinematic distortions that combines wave-based and correlation-signal optimization (WCBSI). We compare the accuracy of MA correction of its kinematic distortions with multiple established correction approaches (linear interpolation, spline-Savitzky-Golay filter, principal component analysis, target principal component analysis, locally weighted strong gradient smoothing filter, wavelet filter, and correlation-based signal optimization). ). Therefore, we measured brain activity in 20 participants performing a task of moving their hands on a table and moving their heads simultaneously to produce motor abnormalities of different levels of severity. In order to obtain the 'true cue' of brain activation, we added a condition in which the hand-moving task was performed on a table only. We compared the distortion correction performance between the algorithms on four predefined metrics (R, RMSE, MAPE, and AUC) and ranked the performance. The proposed WCBSI algorithm was the only one that outperformed the mean (p < 0.001), and had the highest probability of being the best-ranked algorithm (probability 78.8%). Together, our results indicate that among all the algorithms tested, the proposed WCBSI approach performed consistently well across all scales.

Ph.Dr.jenan sattar kashan in the Biomedical engineering department  staff publishing a research in the science of advanced materials journal, which is registered within the Clarivate container, in cooperation with an international researcher.

titled
Effect of Multi-Walled Carbon Nanotube
on the Microstructure, Physical and Mechanical
Properties of ZrO2–CaO/Poly(methyl methacrylate)
Biocomposite for Bone Reconstruction Application

Under the auspices of the Rector of the University, Professor Dr. Ahmed Al-Ghabban, the joint scientific debate was held for the students of the University of Technology and the University of Baghdad in the University of Technology and at Al-Quds Hall, with the support of the Head of the Biomedical Engineering Department Professor Dr.wisam kazem hamdan , and under supervision Ph.Dr. Alaa Muhammad Daoud  and Ph.Dr.Ali jalal Ali where they got the first place in an atmosphere of joy and pleasure, wishing them more scientific excellence.

A meeting of the preparatory committee supervising the department’s festival was held under the chairmanship of the head of the bio instrumentation devices branch, Ph.Dr. Alaa Muhammad Dawood, and in the presence of the members of the committee. The meeting discussed the most important requirements required for the success of the festival in terms of encouraging students to participate in the largest number of projects, works and artistic events such as drawing, calligraphy and sculpture. . The preparation of certificates of encouragement and gifts that will be given to the participants was also discussed, and the festival logo and other details that ensure the success of the festival were prepared in the best way.