Marwan Kadhim Mohammed was born in Iraq in 1977, PhD, in Northeastern University. He received the B.S. in Computer Engineering from Baghdad University, Iraq in 2000, the M.S. in Computer Engineering from UTeM University, Malaysia, in 2014, CISCO American institute instructor from 2007. He joined Baghdad University in 2006 as a lecturer of Department of computer engineering. He was director for research & developing division and training & continues learning division respectively. He was Core member in advisory office of Baghdad University. He has been a team leader at South Korean and Canada with Coicka and ED companies respectively. He is team leader for many projects in the field of Java, Dot.net, visuals, IOS, OS, CG, Media, Networking, DB, Embedded Systems, Embedded Software, VR, EEG, Robotic surgery, Networking. He was external lecturer for postgraduate student in Northeastern University. 5 papers published, chapter in Springer book series 2018.
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The predilection for 5G telemedicine networks has piqued the interest of industry researchers and academics. The most significant barrier to global telemedicine adoption is to achieve a secure and efficient transport of patients, which has two critical responsibilities. The first is to get the patient to the nearest hospital as quickly as possible, and the second is to keep the connection secure while traveling to the hospital. As a result, a new network scheme has been suggested to expand the medical delivery system, which is an agile network scheme to securely redirect ambulance motorbikes to the nearest hospital in emergency cases. This research provides a secured and efficient telemedicine transport strategy compatible with the
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Modern civilization increasingly relies on sustainable and eco-friendly data centers as the core hubs of intelligent computing. However, these data centers, while vital, also face heightened vulnerability to hacking due to their role as the convergence points of numerous network connection nodes. Recognizing and addressing this vulnerability, particularly within the confines of green data centers, is a pressing concern. This paper proposes a novel approach to mitigate this threat by leveraging swarm intelligence techniques to detect prospective and hidden compromised devices within the data center environment. The core objective is to ensure sustainable intelligent computing through a colony strategy. The research primarily focusses on the
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