Dr. Jinane Mounsef
About
Dr. Jinane’s research experience spans over more than 10 years in the field of signal and image processing, during which she worked with multidisciplinary teams on a long track of research papers. Dr. Jinane’s methodological and theoretical research as well as a considerable portion of applied and collaborative work addresses novel image processing and visualization techniques to extract and manage the biological and biometric knowledge in data-intensive problems. She has worked on some major problems encountered in the analysis and processing of images in biomedical and botanics fields and has successfully provided a solution to each one of them. In her current work, entitled "Robust Distortion Biometric Recognition”, she tackles the main challenge of designing a biometric modality that can be resilient to unconstrained conditions, such as illumination changes, occlusion and quality distortions. This work presents a solution to ear and face recognitions under unconstrained visual variations, with a main focus on face recognition in the presence of blur and additive noise distortions.
- Ph.D. in Electrical Engineering (PhD fellowship recipient), Arizona State University, USA
- M.E. in Computer and Communication Engineering (Charli S. Korban Award recipient), American University of Beirut, Lebanon
- B.E. in Computer and Communication Engineering (Summa Cum Laude), Notre Dame University, Lebanon
- Machine Learning
- Computer Vision
- Face Recognition
- Biometric Recognition
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Fardin Ahsan, Noman Sheikh, Jinane Mounsef, "Predicting License Plate Prices using Machine and Deep Learning", 9th International Conference on ICT for Smart Society (ICISS) 2022, Indonesia, August 10 -11, 2022.
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Jinane Mounsef, Maheen Hasib, Ali Raza, "Building an Arabic Dialectal Diagnostic Dataset for Healthcare", International Journal of Advanced Computer Science and Applications, August 1, 2022.
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A Self-Driving Transport Vehicle Based on Fusion Camera and Radar, Jinane Mounsef, Muhieddin Amer, International Conference of Control, Dynamic Systems, and Robotics (CDSR’22), Niagara Falls, Canada, June 02 - 04, 2022.
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Bringing the Industry Expertise to the Classroom for Enhancing Life-Long Learning, Jinane Mounsef, Muhieddin Amer, IEEE Global Engineering Education Conference (EDUCON), Tunis, Tunisia, March 28-31, 2022.
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A COVID-Band for a Safer School Environment, Syed Harris Roman Hussaini, Akrom Mamasaliev, Amir Risan, Khaled Al-Duweik, Boutheina Tlili, Jinane Mounsef, IEEE Global Engineering Education Conference (EDUCON), Tunis, Tunisia, March 28-31, 2022.
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Water Behavior Dataset for an Image-Based Drowning Solution, Saifeldin Hasan, John Joy, Fardin Ahsan, Huzaifa Khambaty, Manan Agarwal, Jinane Mounsef, IEEE Green Energy and Smart Systems Conference, Long Beach, California, November 2021.
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Automated Material Take-off using Computing Vision, John Joy, Jinane Mounsef, IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), Indonesia, July 2021.
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Next-Generation Network Intrusion Detection System (NG_NIDS), Yazan AlNajjar, Jinane Mounsef, IEEE International Conference on Smart Technologies (EUROCON), Lviv, Ukraine, July 2021, (3rd place winner in the IEEE Region 8 Student Paper Contest).
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AI-Vision Towards an Improved Social Inclusion, Rasem Alashkar, Mohamed ElSabbahy, Ahmad Sabha, Momen Abdelghany, Boutheina Tlili, Jinane Mounsef, IEEE/IUT International Conference on Artificial Intelligence for Good (AI4G), Geneva, September 2020.
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Augmented Sparse Representation for Face Recognition under Visual Distortions, Jinane Mounsef, Lina Karam, IET Biometrics, vol.8, no. 6, pp.431- 442, August 2019.
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Augmented Sparse Representation Classifier for Blurred Face Recognition, Jinane Mounsef, Lina Karam, International Conference in Image Processing (ICIP), Athens, October 2018.
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Unconstrained Ear Recognition using Deep Neural Networks, Samuel Dodge, Jinane Mounsef and Lina Karam, IET Biometrics, vol. 7, no. 3, pp.207-214, January 2018.
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Jinane Mounsef and Lina Karam, “Fully Automated Quantification of Leaf Venation Structure”, International Conference of Artificial intelligence (ICAI), Las Vegas, USA, July 2012.
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Jinane Mounsef and Lina Karam, “Automated Analysis of Leaf Venation”, IEEE Workshop on Computational Intelligence for Visual Intelligence (CIVI), Paris, France, April 2011.
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Jinane Mounsef, Lina Karam, Patricia Estes, and Daniela Zarnescu, "Shape Analysis and Classification of lgl-Type and Wild-Type Neurons", ACM International Conference on Bioinformatics and Computational Biology (ACM-BCB), Niagara Falls, USA, August2010.
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Karim Kabalan and Jinane Mounsef, “Mobile Location in GSM using Signal Strength Technique”, in Proceedings of the 10th IEEE International Conference on Electronics Circuits and Systems 2003 ICECS, Sharjah, UAE, December 2003.