Faculty Members

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Dr.Belhassen Abdelmajid Khaled AKROUT

دكتوراه في علوم الحاسب Associate Professor College of Computer Engineering & Sciences

Kharj
011-588-8370
b.akrout@psau.edu.sa

Curriculum Vitae
Publications

Education

B. Sc. degree in Computer Science, information systems and Multimedia
M. Sc. degree in New Technologies of Dedicated Computing Systems
Ph.D. degree in computer science

Research Interests

- Solving a deep learning approach for the analysis and recognition of hand-drawn Images.
- Biometric identification including iris, gait, and face recognition via deep learning
- Driver drowsiness detection and behavior analysis
- Indexing of multimedia documents and information retrieval

Experience

2017 - until now - Assistant professor of computer science - College of Computer Engineering & Science
2016 - 2017 - Assistant professor of computer science - Higher Institute of Computer Science and Multimedia of Sfax
2013 - 2016 - Lecturer of computer science - Higher Institute of Management
2009 - 2013 - Lecturer of computer science - Higher Institute of Computer Science and Multimedia of Sfax
2007 - 2009 - Web and multimedia Project Manager - First Quest and Technology
2006 - 2007 - Full stack Web developer - First Quest and Technology

Responsibilities

Head of the Graduation Projects Committee
Head of the Exams Unit
Member of Student Affairs Unit
Member of Student Rights and Issues Committee
Head of the Montage and Design Unit
Member of the Scholarship Affairs Committee
Head of the Student Activities Unit
Head of the Study Committee Student Affairs Allocation
Assistant to the Vice Dean for Educational and Academic Affairs
Coordinator for Educational and Academic Affairs

Publications

MPE’20 Belhassen AKROUT and Sana Fakhfakh, Three-Dimensional Head-Pose Estimation for Smart Iris Recognition from a Calibrated Camera, Mathematical Problems in Engineering Volume 2020, pp 1-14 (2020) IF 1.009 according to Thomson Reuters Journal Citation Report 2020.
H Index: 56 according to SJR (SCImago Journal&Country Rank and Scopus)
CYS’19 Walid Mahdi, Belhassen Akrout, Roobaea Alroobaea, Abdulmajeed Alsufyani, Automated Drowsiness Detection Through Facial Features Analysis, Computación y Sistemas, Volume 23 (2), pp 511-521 (2019) H Index: 10 according to SJR (SCImago Journal&Country Rank and Scopus)
MVA’15 Belhassen AKROUT and Walid MAHDI, Spatio-temporal features for the automatic control of driver drowsiness state and lack of concentration, Machine Vision and Applications, Springer-Verlag, Volume 26 (1), pp 1-13 (2015) IF 2.005 according to Thomson Reuters Journal Citation Report 2016.H Index: 63 according to SJR (SCImago Journal&Country Rank and Scopus)
iJES’13 Belhassen AKROUT and Walid MAHDI, Hypovigilance detection based on eyelids behaviour study, International Journal of Recent Contributions from Engineering, Science and IT, Volume 1, pp 39-45 (2013)
ICDHT’19 Issam Bani, Belhassen AKROUT and Walid Mahdi, Real-Time Driver Fatigue Monitoring
with Dynamic Bayesian Network Model, International Conference on Digital Health Technologies. Springer International Publishing. Tunisia (2019)
ATSIP’17 Imène Khanfir Kallel, Sonda Ammar Bouhamed and Belhassen AKROUT,
Clever use of Meyer wavelet for iris recognition, IEEE INTERNATIONAL CONFERENCE on ADVANCED TECHNOLOGIES FOR SIGNAL and IMAGE PROCESSING. IEEE Conference Publications, Mororcco (2017)
IPAS’16 Belhassen AKROUT and Walid MAHDI, Yawning detection by the analysis of variational descriptor for monitoring driver drowsiness, IEEE international conference image Processing, Applications and Systems. IEEE Conference Publications, Tunisia (2016)
ImageCLEF’14 Sana FAKHFAKH, Belhassen AKROUT Mohamed TMAR and Walid MAHDI, A visual Search of Multimedia Documents in ImageCLEF 2014, 5th International
Conference of the CLEF Initiative, CLEF 2014 ,pp 715 - 723. CEUR Workshop Proceedings, Sheffield, UK (2014)
ATSIP’14 Belhassen AKROUT and Walid MAHDI, Hypovigilance detection by calculating
and analyzing a spatio-temporal feature of the face components based on 3D head orientation, IEEE INTERNATIONAL CONFERENCE on ADVANCED TECHNOLOGIES FOR SIGNAL and IMAGE PROCESSING, pp 137 - 142. IEEE Conference Publications, Tunisia (2014)
IEEE-IV’13 Belhassen AKROUT and Walid MAHDI, A visual based approach for drowsiness detection, IEEE Intelligent Vehicles Symposium, pp 1324 - 1329. IEEE Conference Publications, Australia (2013), (Rank B according to CORE 2020)
CORES’13 Belhassen AKROUT and Walid MAHDI, A blinking measurement method for driver drowsiness detection, 8th International Conference on Computer Recognition Systems, pp 651-660. Springer-Verlag, Poland (2013)
MUE’13 Belhassen AKROUT andWalid MAHDI, Vision based approach for driver drowsiness detection based on 3D head orientation; 7th International Conference on Multimedia and Ubiquitous Engineering, pp 43-50. Springer- verlag, Korea (2013)
VISAPP’13 Belhassen AKROUT, Walid MAHDI and Abdelmajid Ben Hamadou, Drowsiness Detection Based on Video Analysis Approach, 8th International Conference on Computer Vision Theory and Applications, pp 413-416. SciTePress, Spain (2013),(Rank B according to CORE 2020)
ICWIT’13 Belhassen AKROUT and Walid MAHDI, Eye blinking analysis based approach for
drowsy driver detection, 5th International Conference on Web and InformationTechnologies, pp 235-244.Hammamet, Tunisia (2013).
SSD’09 Belhassen AKROUT, Imene KHANFIR KALLEl, Chokri BEN AMAR and Boulbeba
BEN AMOR, A new scheme of signature extarction for iris authentication, IEEE 6th International Multi-Conference on Systems Signals and Devices, pp 1-8. IEEEConference Publications, Tunisia (2009)

MPE’20 Belhassen AKROUT and Sana Fakhfakh, Three-Dimensional Head-Pose Estimation for Smart Iris Recognition from a Calibrated Camera, Mathematical Problems in Engineering Volume 2020, pp 1-14 (2020) IF 1.009 according to Thomson Reuters Journal Citation Report 2020.
H Index: 56 according to SJR (SCImago Journal&Country Rank and Scopus)
CYS’19 Walid Mahdi, Belhassen Akrout, Roobaea Alroobaea, Abdulmajeed Alsufyani, Automated Drowsiness Detection Through Facial Features Analysis, Computación y Sistemas, Volume 23 (2), pp 511-521 (2019) H Index: 10 according to SJR (SCImago Journal&Country Rank and Scopus)
MVA’15 Belhassen AKROUT and Walid MAHDI, Spatio-temporal features for the automatic control of driver drowsiness state and lack of concentration, Machine Vision and Applications, Springer-Verlag, Volume 26 (1), pp 1-13 (2015) IF 2.005 according to Thomson Reuters Journal Citation Report 2016.H Index: 63 according to SJR (SCImago Journal&Country Rank and Scopus)
iJES’13 Belhassen AKROUT and Walid MAHDI, Hypovigilance detection based on eyelids behaviour study, International Journal of Recent Contributions from Engineering, Science and IT, Volume 1, pp 39-45 (2013)
ICDHT’19 Issam Bani, Belhassen AKROUT and Walid Mahdi, Real-Time Driver Fatigue Monitoring
with Dynamic Bayesian Network Model, International Conference on Digital Health Technologies. Springer International Publishing. Tunisia (2019)
ATSIP’17 Imène Khanfir Kallel, Sonda Ammar Bouhamed and Belhassen AKROUT,
Clever use of Meyer wavelet for iris recognition, IEEE INTERNATIONAL CONFERENCE on ADVANCED TECHNOLOGIES FOR SIGNAL and IMAGE PROCESSING. IEEE Conference Publications, Mororcco (2017)
IPAS’16 Belhassen AKROUT and Walid MAHDI, Yawning detection by the analysis of variational descriptor for monitoring driver drowsiness, IEEE international conference image Processing, Applications and Systems. IEEE Conference Publications, Tunisia (2016)
ImageCLEF’14 Sana FAKHFAKH, Belhassen AKROUT Mohamed TMAR and Walid MAHDI, A visual Search of Multimedia Documents in ImageCLEF 2014, 5th International
Conference of the CLEF Initiative, CLEF 2014 ,pp 715 - 723. CEUR Workshop Proceedings, Sheffield, UK (2014)
ATSIP’14 Belhassen AKROUT and Walid MAHDI, Hypovigilance detection by calculating
and analyzing a spatio-temporal feature of the face components based on 3D head orientation, IEEE INTERNATIONAL CONFERENCE on ADVANCED TECHNOLOGIES FOR SIGNAL and IMAGE PROCESSING, pp 137 - 142. IEEE Conference Publications, Tunisia (2014)
IEEE-IV’13 Belhassen AKROUT and Walid MAHDI, A visual based approach for drowsiness detection, IEEE Intelligent Vehicles Symposium, pp 1324 - 1329. IEEE Conference Publications, Australia (2013), (Rank B according to CORE 2020)
CORES’13 Belhassen AKROUT and Walid MAHDI, A blinking measurement method for driver drowsiness detection, 8th International Conference on Computer Recognition Systems, pp 651-660. Springer-Verlag, Poland (2013)
MUE’13 Belhassen AKROUT andWalid MAHDI, Vision based approach for driver drowsiness detection based on 3D head orientation; 7th International Conference on Multimedia and Ubiquitous Engineering, pp 43-50. Springer- verlag, Korea (2013)
VISAPP’13 Belhassen AKROUT, Walid MAHDI and Abdelmajid Ben Hamadou, Drowsiness Detection Based on Video Analysis Approach, 8th International Conference on Computer Vision Theory and Applications, pp 413-416. SciTePress, Spain (2013),(Rank B according to CORE 2020)
ICWIT’13 Belhassen AKROUT and Walid MAHDI, Eye blinking analysis based approach for
drowsy driver detection, 5th International Conference on Web and InformationTechnologies, pp 235-244.Hammamet, Tunisia (2013).
SSD’09 Belhassen AKROUT, Imene KHANFIR KALLEl, Chokri BEN AMAR and Boulbeba
BEN AMOR, A new scheme of signature extarction for iris authentication, IEEE 6th International Multi-Conference on Systems Signals and Devices, pp 1-8. IEEEConference Publications, Tunisia (2009)

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Dr.Belhassen Abdelmajid Khaled AKROUT

Education

Research Interests

Experience

Responsibilities

Publications

Contact the university leaders

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Links to official Saudi websites end with edu.sa

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Faculty Members

Dr.Belhassen Abdelmajid Khaled AKROUT

Education

Research Interests

Experience

Responsibilities

Publications

Administration of Public Relations and Media