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Hasan Al-Nashash
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- affiliation: American University of Sharjah, UAE
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2020 – today
- 2024
- [j23]Yara Badr, Usman Tariq, Fares Al-Shargie, Fabio Babiloni, Fadwa Al-Mughairbi, Hasan Al-Nashash:
A review on evaluating mental stress by deep learning using EEG signals. Neural Comput. Appl. 36(21): 12629-12654 (2024) - [j22]Meera Alex, Kashif Rast Baz Khan, Amani Al-Othman, Mohammad H. Al-Sayah, Hasan Al-Nashash:
MXene-Based Flexible Electrodes for Electrophysiological Monitoring. Sensors 24(11): 3260 (2024) - [j21]Lamis Abdul Kader, Fares Al-Shargie, Usman Tariq, Hasan Al-Nashash:
One-Channel Wearable Mental Stress State Monitoring System. Sensors 24(16): 5373 (2024) - [j20]Ghinwa Masri, Fares Al-Shargie, Usman Tariq, Fadwa Almughairbi, Fabio Babiloni, Hasan Al-Nashash:
Mental Stress Assessment in the Workplace: A Review. IEEE Trans. Affect. Comput. 15(3): 958-976 (2024) - [c24]Shahzeb Naeem, Ramzi Al-Sharawi, Muhammad Riyyan Khan, Usman Tariq, Abhinav Dhall, Hasan Al-Nashash:
Real, Fake and Synthetic Faces - Does the Coin Have Three Sides? FG 2024: 1-10 - [i2]Shahzeb Naeem, Muhammad Riyyan Khan, Usman Tariq, Abhinav Dhall, Carlos Ivan Colon, Hasan Al-Nashash:
Generation and Detection of Sign Language Deepfakes - A Linguistic and Visual Analysis. CoRR abs/2404.01438 (2024) - [i1]Shahzeb Naeem, Ramzi Al-Sharawi, Muhammad Riyyan Khan, Usman Tariq, Abhinav Dhall, Hasan Al-Nashash:
Real, fake and synthetic faces - does the coin have three sides? CoRR abs/2404.01878 (2024) - 2023
- [c23]Fares Al-Shargie, Saleh Al-Ameri, Abdulla Al-Hammadi, Schastlivtseva Daria Vladimirovna, Usman Tariq, Hasan Al-Nashash:
Detection of Astronaut's Stress Levels During 240-Day Confinement using EEG Signals and Machine Learning. EMBC 2023: 1-6 - [c22]Fares Al-Shargie, Yara Badr, Usman Tariq, Fabio Babiloni, Fadwa Al-Mughairbi, Hasan Al-Nashash:
Classification of Mental Stress Levels using EEG Connectivity and Convolutional Neural Networks. EMBC 2023: 1-5 - [c21]Amaal Abdulraqeb Ali, Mohammad H. Al-Sayah, Amani Al-Othman, Hasan Al-Nashash:
A Flexible Conductive Electrode Using Boronic-Acid Modified Carbon Dots. EMBC 2023: 1-6 - [c20]Yara Badr, Fares Al-Shargie, Usman Tariq, Fabio Babiloni, Fadwa Al-Mughairbi, Hasan Al-Nashash:
Mental Stress Detection and Mitigation using Machine Learning and Binaural Beat Stimulation. EMBC 2023: 1-5 - [c19]Muhammad Riyyan Khan, Shahzeb Naeem, Usman Tariq, Abhinav Dhall, Malik Nasir Afzal Khan, Fares Al-Shargie, Hasan Al-Nashash:
Exploring Neurophysiological Responses to Cross-Cultural Deepfake Videos. ICMI Companion 2023: 41-45 - [c18]Fares Al-Shargie, Saleh Al-Ameri, Abdulla Al-Hammadi, Schastlivtseva Daria Vladimirovna, Usman Tariq, Hasan Al-Nashash:
Assessment of Mental Stress During 240-Days Isolation and Confined Environment using EEG Signals. NER 2023: 1-5 - [c17]Amaal Abdulraqeb Ali, Mohammad H. Al-Sayah, Amani Al-Othman, Hasan Al-Nashash:
Modified carbon dots for potential flexible electrode applications. NER 2023: 1-5 - 2022
- [j19]Mostafa Moussa, Usman Tariq, Fares Al-Shargie, Hasan Al-Nashash:
Discriminating Fake and Real Smiles Using Electroencephalogram Signals With Convolutional Neural Networks. IEEE Access 10: 81020-81030 (2022) - [j18]Nadia Abu Farha, Fares Al-Shargie, Usman Tariq, Hasan Al-Nashash:
Brain Region-Based Vigilance Assessment Using Electroencephalography and Eye Tracking Data Fusion. IEEE Access 10: 112199-112210 (2022) - [j17]Nadia Abu Farha, Fares Al-Shargie, Usman Tariq, Hasan Al-Nashash:
Improved Cognitive Vigilance Assessment after Artifact Reduction with Wavelet Independent Component Analysis. Sensors 22(8): 3051 (2022) - [c16]Muhannad Alkaddour, Abhinav Dhall, Usman Tariq, Hasan Al-Nashash, Fares Al-Shargie:
Sentiment-aware Classifier for Out-of-Context Caption Detection. ACM Multimedia 2022: 7180-7184 - [c15]Rateb Katmah, Fares Al-Shargie, Usman Tariq, Fabio Babiloni, Fadwa Al-Mughairbi, Hasan Al-Nashash:
Mental Stress Assessment Using fNIRS and LSTM. SMC 2022: 2287-2292 - 2021
- [j16]Fares Al-Shargie, Usman Tariq, Fabio Babiloni, Hasan Al-Nashash:
Cognitive Vigilance Enhancement Using Audio Stimulation of Pure Tone at 250 Hz. IEEE Access 9: 22955-22970 (2021) - [j15]Rateb Katmah, Fares Al-Shargie, Usman Tariq, Fabio Babiloni, Fadwa Al-Mughairbi, Hasan Al-Nashash:
A Review on Mental Stress Assessment Methods Using EEG Signals. Sensors 21(15): 5043 (2021) - [c14]Fares Al-Shargie, Rateb Katmah, Usman Tariq, Fabio Babiloni, Fadwa Al-Mughairbi, Hasan Al-Nashash:
Stress Assessment and Mitigation using fNIRS and Binaural Beat Stimulation. SMC 2021: 2678-2683 - 2020
- [j14]Fares Al-Shargie, Omnia Hassanin, Usman Tariq, Hasan Al-Nashash:
EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis. IEEE Access 8: 115941-115956 (2020) - [j13]Meera Alex, Usman Tariq, Fares Al-Shargie, Hasan Saeed Mir, Hasan Al-Nashash:
Discrimination of Genuine and Acted Emotional Expressions Using EEG Signal and Machine Learning. IEEE Access 8: 191080-191089 (2020)
2010 – 2019
- 2019
- [j12]Fares Al-Shargie, Usman Tariq, Meera Alex, Hasan Saeed Mir, Hasan Al-Nashash:
Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study. IEEE Access 7: 143550-143562 (2019) - [c13]Mostafa Moussa, Usman Tariq, Hasan Al-Nashash, Fares Al-Shargie:
Discerning Genuine and Acted Smiles Using Neural Networks. ISSPIT 2019: 1-4 - 2018
- [j11]Hasan Saeed Mir, Hasan Al-Nashash, Jukka Kortelainen, Angelo H. All:
Novel Modeling of Somatosensory Evoked Potentials for the Assessment of Spinal Cord Injury. IEEE Trans. Biomed. Eng. 65(3): 511-520 (2018) - 2017
- [c12]Nida Itrat Abbasi, Indu Prasad Bodala, Anastasios Bezerianos, Yu Sun, Hasan Al-Nashash, Nitish V. Thakor:
Role of multisensory stimuli in vigilance enhancement- a single trial event related potential study. EMBC 2017: 2446-2449 - [c11]Indu P. Bodala, Nida Itrat Abbasi, Yu Sun, Anastasios Bezerianos, Hasan Al-Nashash, Nitish V. Thakor:
Measuring vigilance decrement using computer vision assisted eye tracking in dynamic naturalistic environments. EMBC 2017: 2478-2481 - 2015
- [c10]Indu P. Bodala, Sunil L. Kukreja, Junhua Li, Nitish V. Thakor, Hasan Al-Nashash:
Eye tracking and EEG synchronization to analyze microsaccades during a workload task. EMBC 2015: 7994-7997 - [c9]Junhua Li, Indu P. Prasad, Justin Dauwels, Nitish V. Thakor, Hasan Al-Nashash:
Vigilance Differentiation from EEG Complexity Attributes. ICONIP (4) 2015: 199-206 - 2014
- [c8]Hasan Saeed Mir, Indu P. Prasad, Ke Yu, Nitish V. Thakor, Hasan Al-Nashash:
ERP signal estimation from single trial EEG. EMBC 2014: 2989-2992 - [c7]Indu P. Bodala, Yu Ke, Hasan Saeed Mir, Nitish V. Thakor, Hasan Al-Nashash:
Cognitive workload estimation due to vague visual stimuli using saccadic eye movements. EMBC 2014: 2993-2996 - [c6]Jukka Kortelainen, Ashwati Vipin, Thow Xin Yuan, Hasan Saeed Mir, Nitish V. Thakor, Hasan Al-Nashash, Angelo H. All:
Effect of isoflurane on somatosensory evoked potentials in a rat model. EMBC 2014: 4286-4289 - [c5]Rabiya Momin, Hasan Saeed Mir, Hasan Al-Nashash:
Brain source localization in the presence of leadfield perturbations. EMBC 2014: 4551-4554 - 2013
- [j10]Hasan Al-Nashash, Cindy Gunn:
Lecture Capture in Engineering Classes: Bridging Gaps and Enhancing Learning. J. Educ. Technol. Soc. 16(1): 69-78 (2013) - 2012
- [c4]Hasan Al-Nashash, Hasan Saeed Mir, Shaikha Al-Marzouqi, Shaikha Al-Kendi, Kinda Khalaf:
Quantification of the bone healing process using information of B-Mode ultrasound image. EMBC 2012: 4442-4445 - [c3]Tahereh S. Zarghami, Hasan Saeed Mir, Hasan Al-Nashash:
Calibration of Low Density EEG Sensor Arrays for Brain Source Localization. ICONIP (1) 2012: 331-338
2000 – 2009
- 2009
- [j9]Hasan Al-Nashash:
Innovations in communications electronics and control. Comput. Electr. Eng. 35(4): 527 (2009) - [j8]M. Narayanan, Hasan Al-Nashash:
Introducing undergraduate students to simulation of semiconductor doping techniques. Comput. Electr. Eng. 35(4): 567-577 (2009) - [j7]Hasan Al-Nashash, Noreen A. Fatoo, Nabil N. Mirza, Rabi I. Ahmed, Gracee Agrawal, Nitish V. Thakor, Angelo H. All:
Spinal Cord Injury Detection and Monitoring Using Spectral Coherence. IEEE Trans. Biomed. Eng. 56(8): 1971-1979 (2009) - 2007
- [j6]Thinh M. Le, Joseph S. Paul, Hasan Al-Nashash, A. Tan, Andreas R. Luft, Fwu-Shan Sheu, Sim Heng Ong:
New Insights into Image Processing of Cortical Blood Flow Monitors Using Laser Speckle Imaging. IEEE Trans. Medical Imaging 26(6): 833-842 (2007) - 2006
- [j5]A. Hijazy, H. Al-Smoudi, M. Swedan, N. Qaddoum, Hasan Al-Nashash, K. G. Ramesh:
Quantitative monitoring of bone healing process using ultrasound. J. Frankl. Inst. 343(4-5): 495-500 (2006) - [c2]Imran A. Zualkernan, Leland Blank, Jamal Abdalla, Abdul-Rahman Al-Ali, Hasan Al-Nashash, Hany El Kadi, Rana Ahmed, Ghassan Z. Qadah:
Using Future Search Conference for e-Learning Strategy Formulation in Higher Education. ICALT 2006: 1060-1064 - 2005
- [j4]Khaled Assaleh, Hasan Al-Nashash:
A novel technique for the extraction of fetal ECG using polynomial networks. IEEE Trans. Biomed. Eng. 52(6): 1148-1152 (2005) - [j3]Hasan Al-Nashash, Nitish V. Thakor:
Monitoring of global cerebral ischemia using wavelet entropy rate of change. IEEE Trans. Biomed. Eng. 52(12): 2119-2122 (2005) - 2004
- [j2]Hasan Al-Nashash, Yousef Al-Assaf, Joseph S. Paul, Nitish V. Thakor:
EEG signal modeling using adaptive Markov process amplitude. IEEE Trans. Biomed. Eng. 51(5): 744-751 (2004) - 2003
- [j1]Joseph S. Paul, C. B. Patel, Hasan Al-Nashash, Ning Zhang, Wendy C. Ziai, Marek A. Mirski, David L. Sherman:
Prediction of PTZ-induced seizures using wavelet-based residual entropy of cortical and subcortical field potentials. IEEE Trans. Biomed. Eng. 50(5): 640-648 (2003)
1990 – 1999
- 1999
- [c1]Boris V. Lvov, Hasan Al-Nashash, A. Al-Zaben:
Inverse Problem in Geometrical Modeling of the Sources of Medical Signals. Shape Modeling International 1999: 179-185
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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