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Ziad Osman

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Ziad Osman

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Electrical & Computer Engineering

zosman@bau.edu.lb

07 985080 Ex: 3414

Debbieh

Ziad Osman

Professor

Ziad Osman is Professor at the Department of Electrical and Computer Engineering at Beirut Arab University. He received a B.S. from Beirut Arab University in 1987, and an M.S. and his Ph.D. in Electrical Engineering from the University of Florida at Gainesville in 1991 and 1994, respectively. Afterwards he worked as a postdoc at the University of Florida for a year. Since 1995 he has been a faculty member in the Faculty of Engineering at Beirut Arab University. His research interests centered on semiconductor photonics, image/text processing and encryption.. Prof. Osman is a member of IEEE.

Teaching

Research

Semiconductor photonics, image/text processing and encryption

Activities

BOOK CHAPTERS

Sand Cat Swarm Optimisation (HDSCSO) Approach for Resource Allocation in Wirele

“MirageXR: A Framework for Metaverse - Enabled Cross - Platform Integration of Physical Hardware and XR Environments”, Qiblawi, R.A., Sliman, L., Osman, Z., Haidar, A.M. Book Chapter in: Borroni, A., Perboli, G., Piccinelli, G.M. (eds) Metaverses: Reshaping Economy, and Society  (2026). PoliTO Springer Series. Springer, Cham. https://doi.org/10.1007/978-3-032-08664-8_9

 

JOURNAL PUBLICATIONS (Selected)

  • “A Hybrid Dynamic ss Sensor Networks”, S. Sindian, Z. Osman, A. Sabbagh, IET Wireless Sensor Systems, 2026, Vol. 16, Issue 1
  • “Horse Herd Leadership Optimization: A Trust-Aware Metaheuristic for Resource Allocation and Secure Wireless Sensor Networks”, S. Sindian, Z. Osman, A. Sabbagh, MDPI Technologies 2026, 14(2), 109.
  • “Cars Identification from partial images using norm angle of feature points|”, M. El Dimassi, Z. Osman, R. Zantout, 

CONFERENCE   PUBLICATIONS (Selected)

  • "Design and Performance Analysis of a High-Efficiency 5G RF Front-End Receiver" Khaled El Hajj, Bassem Saad, Heba EL-Halabi, Ziad Osman, 5th IEEE International Multidisciplinary Conference on Engineering Technology (IMCET 2026), Lebanon, April 15, 2026.
  • “Detection of Parkinson’s Disease Through Voice Analysis Using Shimmer and Jitter Techniques with Machine Learning”, M. El Dimassi, A. Daher, Z. Osman, Z. Doughan, M. Jabre, and K. Ozoor, 1st International Conference on Emerging Innovation and Digital Technology (ICEIDT 2025), Maldives, Nov. 24-25, 2025.