received a master’s degree in electronics, electro-technics, and automatics, focusing on hyper-frequency antennas. He is currently pursuing a Ph.D. degree in electronics with the University of Tunis El Manar. He was involved/trained with the EEG Center, National Institute of Neurology, Tunis, and the Department of Electrical and Computer Engineering, Northern Virginia Center, Virginia Tech. He has online certifications in neurology and brain activity. His research interests include comatose human brain activity and classification.
EDUCATION
Electronics and signal processing Ph.D student
RESEARCH, TEACHING, or OTHER INTERESTS
General Neuroscience, Numerical Analysis, Signal Processing, Rehabilitation
20
Scholar Citations
3
Scholar h-index
1
Scholar i10-index
RECENT SCHOLAR PUBLICATIONS
A Pilot Study for Real-Time Hunger Detection Based on EEG Signals and Visual ERPs B Hbibi, L Mili, L Sidhom, A Mami 2025 IEEE International Multi-Conference on Smart Systems & Green Process … , 2025 2025
Vigilance State Classification of Comatose Patients Based on Multifractal Analysis of EEG Signals B Hbibi, L Mili, K Baccar, A Mami IEEE Access , 2025 2025 Citations: 1
‘The challenges of EEG in coma: The potential of recent discoveries B Hbibi, L Mili Coma and Brain Death–Facts, Myths and Mysteries , 2024 2024 Citations: 3
‘Singularity spectrum analysis as an approach for the classification of comatose patients’ vigilance state,’’ B Hbibi, B Kamel, L Mili Neural Traces 2024, 111 , 2024 2024 Citations: 3
Identifying and removing interference and artifacts in multifractal signals with application to EEG signals B Hbibi, C Khiari, K Wirsing, L Mili, K Baccar, A Mami IEEE Access 11, 119090-119105 , 2023 2023 Citations: 13
MOST CITED SCHOLAR PUBLICATIONS
Identifying and removing interference and artifacts in multifractal signals with application to EEG signals B Hbibi, C Khiari, K Wirsing, L Mili, K Baccar, A Mami IEEE Access 11, 119090-119105 , 2023 2023 Citations: 13
‘The challenges of EEG in coma: The potential of recent discoveries B Hbibi, L Mili Coma and Brain Death–Facts, Myths and Mysteries , 2024 2024 Citations: 3
‘Singularity spectrum analysis as an approach for the classification of comatose patients’ vigilance state,’’ B Hbibi, B Kamel, L Mili Neural Traces 2024, 111 , 2024 2024 Citations: 3
Vigilance State Classification of Comatose Patients Based on Multifractal Analysis of EEG Signals B Hbibi, L Mili, K Baccar, A Mami IEEE Access , 2025 2025 Citations: 1
A Pilot Study for Real-Time Hunger Detection Based on EEG Signals and Visual ERPs B Hbibi, L Mili, L Sidhom, A Mami 2025 IEEE International Multi-Conference on Smart Systems & Green Process … , 2025 2025
