BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260603T035421Z UID:AA7060B3-6927-4E76-866F-7DC97CAECE96 DTSTART;TZID=America/New_York:20260618T100000 DTEND;TZID=America/New_York:20260618T110000 DESCRIPTION:Title:\nUnderwater Wireless Communication Systems and Networks: A Survey\, Future Directions\, and Novel Proposals\nSpeaker:\nAbdallah S. Ghazy\nBio:\nAbdallah Ghazy received the B.Sc. degree in Electrical Engin eering from Al-Azhar University\, Cairo\, Egypt\, in 2007\, the M.Sc. degr ee from the Egypt-Japan University of Science and Technology (E-JUST)\, Al exandria\, Egypt\, in 2016\, and the Ph.D. degree in Electrical and Comput er Engineering from McMaster University\, ON\, Canada\, in 2021. From 2008 to 2017\, he worked in the telecommunications industry with Sina Technolo gy\, Cairo\, Egypt\, where he contributed to the design\, deployment\, and operation of telecommunication systems and networks. Alongside his indust rial experience\, he served as a Teaching Assistant at both Al-Azhar Unive rsity and McMaster University between 2012 and 2021\, supporting courses a nd laboratory activities in communications\, signal processing\, and netwo rking systems. Between 2021 and 2025\, he was a Research Fellow with Écol e de technologie supérieure (ÉTS)\, Montréal\, Canada\, where he conduc ted advanced research on Space and Defence technologies. Since December 20 25\, he has been a Research Associate with Calian Group Ltd.\, Ottawa\, Ca nada\, contributing to research and development activities in advanced Spa ce and Defence technologies. His research has contributed to emerging comm unication paradigms spanning RF\, optical\, acoustic\, underwater\, and sa tellite communication systems\, with an emphasis on heterogeneous networki ng\, intelligent protocol design\, signal processing\, machine learning\, and communication security. His work also explores AI-assisted optimizatio n techniques for future resilient and adaptive communication infrastructur es.\nAbstract:\nUnderwater wireless sensor networks (UWSNs) have gained in creasing attention for civil and defense applications\, but underwater env ironments present major challenges such as dynamic channels\, localization difficulties\, high delays\, limited bandwidth\, energy constraints\, int erference\, and strong noise. This work presents a comprehensive survey of UWSN protocols across the physical\, MAC\, and routing layers\, including existing network stacks\, underwater modems\, and security threats\, with emphasis on the Smart Adaptive Long- and Short-range Acoustic (SALSA) sta ck. The survey also discusses emerging technologies in machine learning an d cybersecurity for intelligent\, adaptive\, and secure underwater communi cation systems\, highlighting their potential in channel estimation\, rout ing optimization\, anomaly detection\, intrusion prevention\, and autonomo us network management. Based on the identified research gaps\, two main co ntributions are proposed. First\, Developed-SALSA (D-SALSA) stack protocol s are introduced to improve adaptability\, energy efficiency\, throughput\ , and communication reliability. Second\, a heterogeneous underwater archi tecture combining acoustic and optical communication technologies is prese nted to support high-rate and large-scale data transmission. Finally\, fut ure research directions and open challenges related to AI-assisted network ing\, cross-layer optimization\, and resilient cybersecurity frameworks ar e discussed.\n\nSpeaker(s): Abdallah\, \n\nRoom: 314\, Bldg: Walter Light Hall\, Queen's University\, 19 Union St\, Kingston\, Ontario\, Canada\, K7 L 3N9\, Virtual: https://events.vtools.ieee.org/m/562249 LOCATION:Room: 314\, Bldg: Walter Light Hall\, Queen's University\, 19 Unio n St\, Kingston\, Ontario\, Canada\, K7L 3N9\, Virtual: https://events.vto ols.ieee.org/m/562249 ORGANIZER:chan-f@rmc.ca SEQUENCE:39 SUMMARY:IEEE Talk: Underwater Wireless Communication Systems and Networks: A Survey\, Future Directions\, and Novel Proposals URL;VALUE=URI:https://events.vtools.ieee.org/m/562249 X-ALT-DESC:Description: <br /><p><u><strong>Title:</strong></u><br>Underwat er Wireless Communication Systems and Networks: A Survey\, Future Directio ns\, and Novel Proposals<br><strong><u>Speaker:</u></strong><br>Abdallah S .&nbsp\;<span id="x_0.7280249023468298" class="x_highlight"><span id="0.25 24721131653068" class="highlight">Ghazy</span></span><br><strong><u>Bio:</ u></strong><br>Abdallah&nbsp\;<span id="x_0.9391456297619002" class="x_hig hlight"><span id="0.6327881676722268" class="highlight">Ghazy</span></span >&nbsp\;received the B.Sc. degree in Electrical Engineering from Al-Azhar University\, Cairo\, Egypt\, in 2007\, the M.Sc. degree from the Egypt-Jap an University of Science and Technology (E-JUST)\, Alexandria\, Egypt\, in 2016\, and the Ph.D. degree in Electrical and Computer Engineering from M cMaster University\, ON\, Canada\, in 2021. From 2008 to 2017\, he worked in the telecommunications industry with Sina Technology\, Cairo\, Egypt\, where he contributed to the design\, deployment\, and operation of telecom munication systems and networks. Alongside his industrial experience\, he served as a Teaching Assistant at both Al-Azhar University and McMaster Un iversity between 2012 and 2021\, supporting courses and laboratory activit ies in communications\, signal processing\, and networking systems. Betwee n 2021 and 2025\, he was a Research Fellow with &Eacute\;cole de technolog ie sup&eacute\;rieure (&Eacute\;TS)\, Montr&eacute\;al\, Canada\, where he conducted advanced research on Space and Defence technologies. Since Dece mber 2025\, he has been a Research Associate with Calian Group Ltd.\, Otta wa\, Canada\, contributing to research and development activities in advan ced Space and Defence technologies. His research has contributed to emergi ng communication paradigms spanning RF\, optical\, acoustic\, underwater\, and satellite communication systems\, with an emphasis on heterogeneous n etworking\, intelligent protocol design\, signal processing\, machine lear ning\, and communication security. His work also explores AI-assisted opti mization techniques for future resilient and adaptive communication infras tructures.<br><strong><u>Abstract:</u></strong><br>Underwater wireless sen sor networks (UWSNs) have gained increasing attention for civil and defens e applications\, but underwater environments present major challenges such as dynamic channels\, localization difficulties\, high delays\, limited b andwidth\, energy constraints\, interference\, and strong noise. This work presents a comprehensive survey of UWSN protocols across the physical\, M AC\, and routing layers\, including existing network stacks\, underwater m odems\, and security threats\, with emphasis on the Smart Adaptive Long- a nd Short-range Acoustic (SALSA) stack. The survey also discusses emerging technologies in machine learning and cybersecurity for intelligent\, adapt ive\, and secure underwater communication systems\, highlighting their pot ential in channel estimation\, routing optimization\, anomaly detection\, intrusion prevention\, and autonomous network management. Based on the ide ntified research gaps\, two main contributions are proposed. First\, Devel oped-SALSA (D-SALSA) stack protocols are introduced to improve adaptabilit y\, energy efficiency\, throughput\, and communication reliability. Second \, a heterogeneous underwater architecture combining acoustic and optical communication technologies is presented to support high-rate and large-sca le data transmission. Finally\, future research directions and open challe nges related to AI-assisted networking\, cross-layer optimization\, and re silient cybersecurity frameworks are discussed.</p> END:VEVENT END:VCALENDAR