Hamid Radam Hussein AlObaidi (Lecturer)
PhD in Electrical and Computer Engineering / Electronics
Lecturer
Electrical -
Engineering
hamid.radam@uoanbar.edu.iq
<p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:12.0pt"><span style="font-family:"Simplified Arabic",serif">Dr. Hamid Radam Hussein is a lecturer in the Electrical Engineering Department at the College of Engineering, University of Anbar. He obtained his B.Sc. degree in 1991 and his M.Sc. degree in 2005 from the Department of Electrical and Electronic Engineering at AL-Rasheed College of Engineering & Science, University of Technology in Baghdad, Iraq. He completed his Ph.D. degree in 2020 from the Institute of Graduate Studies at Altinbas University in Istanbul, Turkey.</span></span></strong></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:12.0pt"><span style="font-family:"Simplified Arabic",serif">Since 2021, Dr. Hamid has been working as a lecturer in the Department of Electrical Engineering at the University of Anbar. Prior to that, he worked as a researcher for the Military Production Authority from 1991 to 2003 and then as a researcher in the Ministry of Science and Technology from 2003 to 2021. He also served as an external lecturer at the Computer Engineering Department at Dijlah University College from 2010 to 2015 and at the College of Information at Al-Nahrain University in 2021.</span></span></strong></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:12.0pt"><span style="font-family:"Simplified Arabic",serif">Dr. Hamid has published three journal papers, two of which are in Clarivate and one in Scopus. He has an H-index of 2 with Scopus, Google Scholar, and Publons and has conducted 15 reviews.</span></span></strong></span></span></p>
<ol> <li>Alsanad, H.R.; Sadik, A.Z.; Ucan, O.N.; Ilyas, M.; Bayat, O. YOLO-V3 based real-time drone detection algorithm. Multimed. Tools Appl. <strong>2022</strong>, 81, 26185–26198. [<a href="https://scholar.google.com/scholar_lookup?title=YOLO-V3+based+real-time+drone+detection+algorithm&author=Alsanad,+H.R.&author=Sadik,+A.Z.&author=Ucan,+O.N.&author=Ilyas,+M.&author=Bayat,+O.&publication_year=2022&journal=Multimed.+Tools+Appl.&volume=81&pages=26185%E2%80%9326198&doi=10.1007/s11042-022-12939-4" rel="noopener noreferrer" target="_blank">Google Scholar</a>] [<a href="https://doi.org/10.1007/s11042-022-12939-4" rel="noopener noreferrer" target="_blank">CrossRef</a>]</li> <li>Alsanad, H.R.; Ucan, O.N.; Ilyas, M.; Khan, A.U.R.; Bayat, O. Real-time fuel truck detection algorithm based on deep convolutional neural network. IEEE Access <strong>2020</strong>, 8, 118808–118817. [<a href="https://scholar.google.com/scholar_lookup?title=Real-time+fuel+truck+detection+algorithm+based+on+deep+convolutional+neural+network&author=Alsanad,+H.R.&author=Ucan,+O.N.&author=Ilyas,+M.&author=Khan,+A.U.R.&author=Bayat,+O.&publication_year=2020&journal=IEEE+Access&volume=8&pages=118808%E2%80%93118817&doi=10.1109/ACCESS.2020.3005391" rel="noopener noreferrer" target="_blank">Google Scholar</a>] [<a href="https://doi.org/10.1109/ACCESS.2020.3005391" rel="noopener noreferrer" target="_blank">CrossRef</a>]</li> <li>L. Hassnawi, R. Ahmad, A. Yahya, H. Alsanad and S. Aljunid, "Impact of freeway mobility pattern on routing performance of mobile ad hoc networks", <em>J. Next Gener. Inf. Technol.</em>, vol. 4, no. 3, pp. 139-150, 2013.</li> </ol>
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