Visiting Scholars

Dr. Fares Yahya (Fares Al-Shargie)
PhD in Electrical and Electronic Engineering,
Universiti Teknologi PETRONAS, Malaysia
Email: [email protected]

Fares Al-Shargie worked with the research and development group of Hitachi. Ltd, Japan. Dr. Fares Al-Shargie is interested in performing neuroimaging research using EEG, Eye Tracking and fNIRS, and developing new data analysis methods. Dr. Fares is currently working as a visiting Postdoctoral Fellow aiming to improve cognitive vigilance by developing an objective enhancement technique. 

Publications

• Al-Shargie, Fares, Tong Boon Tang, Nasreen Badruddin, and Masashi Kiguchi. "Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach." Medical & biological engineering & computing 56, no. 1 (2018): 125-136.
• Al-Shargie, Fares, Tong Boon Tang, and Masashi Kiguchi. "Stress Assessment Based on Decision Fusion of EEG and fNIRS Signals." IEEE Access 5 (2017): 19889-19896.
• Al-Shargie, Fares, Tong Boon Tang, and Masashi Kiguchi. "Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: an fNIRS-EEG study." Biomedical optics express 8, no. 5 (2017): 2583-2598.
• Al-Shargie, Fares, Masashi Kiguchi, Nasreen Badruddin, Sarat C. Dass, Ahmad Fadzil Mohammad Hani, and Tong Boon Tang. "Mental stress assessment using simultaneous measurement of EEG and fNIRS." Biomedical optics express 7, no. 10 (2016): 3882-3898.
• Al-Shargie, F. M., Tong Boon Tang, Nasreen Badruddin, and Masashi Kiguchi. "Mental stress quantification using EEG signals." In International Conference for Innovation in Biomedical Engineering and Life Sciences, pp. 15-19. Springer, Singapore, 2015.

Dr. Rabah Al abdi 

Dr. Rabah Al abdi has more than 9 years of experience in teaching biomedical and electrical engineering courses in Jordan University of Science and Technology. He holds a joint PhD degree in Biomedical Engineering from SUNY Downstate Medical Center and New York University. He had been a visiting scholar doing research at Harvard Medical School in 2018, where he developed an optical imaging system to detect breast cancer. He has introduced novel ways of investigating variability in mechanical and hemodynamic responses of breast tissue under mammographic-like compression, to enhance the detection of breast tumor in its earliest stages. Dr. Al abdi is currently working as a visiting scholar at the American university of Sharjah (AUS). His research activities at AUS focus on the development of diffuse optical imaging for the diagnosis and monitoring of peripheral artery disease and diabetic foot syndrome.

Publications

• R. M. Al abdi, B. Deng, H. H. Hijazi, M. Wu, and S. A. Carp, (2020) “Mechanical and hemodynamic responses of breast tissue under mammographic-like compression during functional dynamic optical imaging,” Biomed. Opt. Express, vol. 11, no. 10, p. 5425, doi: 10.1364/BOE.398110.
• E. Abdulhay, M. Alafeef, L. Alzghoul, M. Al Momani, R. M. Al Abdi (2020) “Computer-aided autism diagnosis via second-order difference plot area applied to EEG empirical mode decomposition,” Neural Comput & Applic, vol. 32, no. 15, pp. 10947–10956, doi:10.1007/s00521-018-3738-0.
• R. M. Al abdi, H. Alshraideh, H. H. Hijazi, M. Jarrah, and M. S. Alyahya, (2019) “The use of echocardiographic and clinical data recorded on admission to simplify decision making for elective percutaneous coronary intervention: a prospective cohort study,” BMC Med Inform Decis Mak, vol. 19, no. 1, p. 46, doi: 10.1186/s12911-019-0797-9.
• R. M. Al abdi, (2019) “The use of artificial intelligence to predict the outcomes of elective percutaneous coronary intervention using clinical factors”, Innovation Arabia 12, Dubai, UAE.
• R. M. Al abdi, A. E. Alhitary, E. W. Abdul Hay, and A. K. Al-bashir, (2018)“Objective detection of chronic stress using physiological parameters,” Med Biol Eng Comput, vol. 56, no. 12, pp. 2273–2286, doi: 10.1007/s11517-018-1854-8.
• R. M. Al abdi and M. Jarrah, (2018) “Cardiac disease classification using total variation denoising and Morlet continuous wavelet transformation of ECG signals,” 2018 IEEE 14 th international colloquium on signal processing and its application (CSPA 2018), Penang, Malaysia.

Patents

• R.L. Barbour, R. M. Al abdi, (2017) "Self-referencing optical measurement for breast cancer detection", United States Patent Application 9724489B2.
• R.L. Barbour, R. M. Al Abdi, and H. Graber, (2015) “Low-cost screening system for breast cancer detection”, United States Patent Application 14415839.