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PRODID:IEEE vTools.Events//EN
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TZID:Africa/Algiers
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DTSTART:19810501T010000
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TZOFFSETTO:+0100
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BEGIN:VEVENT
DTSTAMP:20251119T083805Z
UID:FADCAE86-42A5-4F74-A8DD-6A6FE86D30E3
DTSTART;TZID=Africa/Algiers:20251029T130000
DTEND;TZID=Africa/Algiers:20251029T143000
DESCRIPTION:This seminar introduced students and young researchers to moder
 n optimization at the intersection of logistics\, energy systems\, and tel
 ecommunications. Drawing from recent research and practical case studies\,
  Dr. Slim Belhaiza discussed how operations research and mathematical mode
 ling inform:\n\n-\nVehicle routing optimization (from classical VRP to rea
 l-world variants with constraints such as time windows\, capacity\, and un
 certainty)\,\n\n-\nSmart-grid demand response (modeling flexible loads\, s
 cheduling under constraints\, and balancing user comfort with grid needs)\
 ,\n\n-\n5G &amp; beyond network slicing (resource allocation\, QoS requirement
 s\, and optimization-driven slicing policies).\n\nThe talk emphasized prob
 lem formulation\, tractability vs. realism\, and algorithmic choices (exac
 t vs. heuristic/approximate)\, highlighting how modeling assumptions drive
  both solution quality and computational cost. Dr. Belhaiza also presented
  academic paths and collaboration opportunities at KFUPM for EPT students 
 (research visits\, graduate studies\, and joint projects).\n\nTarget audie
 nce: undergraduate and graduate engineering students\, early-career resear
 chers\, and IEEE volunteers interested in operations research\, energy sys
 tems\, and telecom optimization.\n\nSpeaker(s): Prof. Slim Belhaiza\n\nBld
 g: Ecole Polytechnique de Tunisie\, La Marsa \, Tunis\, Tunis\, Tunisia
LOCATION:Bldg: Ecole Polytechnique de Tunisie\, La Marsa \, Tunis\, Tunis\,
  Tunisia
ORGANIZER:ept@ieee.tn
SEQUENCE:40
SUMMARY:Optimization Across Logistics\, Energy &amp; Telecom
URL;VALUE=URI:https://events.vtools.ieee.org/m/516166
X-ALT-DESC:Description: &lt;br /&gt;&lt;p data-start=&quot;623&quot; data-end=&quot;929&quot;&gt;This semin
 ar introduced students and young researchers to &lt;strong data-start=&quot;681&quot; d
 ata-end=&quot;704&quot;&gt;modern optimization&lt;/strong&gt; at the intersection of &lt;strong 
 data-start=&quot;728&quot; data-end=&quot;781&quot;&gt;logistics\, energy systems\, and telecommu
 nications&lt;/strong&gt;. Drawing from recent research and practical case studie
 s\, &lt;strong data-start=&quot;840&quot; data-end=&quot;861&quot;&gt;Dr. Slim Belhaiza&lt;/strong&gt; dis
 cussed how operations research and mathematical modeling inform:&lt;/p&gt;\n&lt;ul 
 data-start=&quot;931&quot; data-end=&quot;1330&quot;&gt;\n&lt;li data-start=&quot;931&quot; data-end=&quot;1077&quot;&gt;\n
 &lt;p data-start=&quot;933&quot; data-end=&quot;1077&quot;&gt;&lt;strong data-start=&quot;933&quot; data-end=&quot;965
 &quot;&gt;Vehicle routing optimization&lt;/strong&gt; (from classical VRP to real-world 
 variants with constraints such as time windows\, capacity\, and uncertaint
 y)\,&lt;/p&gt;\n&lt;/li&gt;\n&lt;li data-start=&quot;1078&quot; data-end=&quot;1213&quot;&gt;\n&lt;p data-start=&quot;10
 80&quot; data-end=&quot;1213&quot;&gt;&lt;strong data-start=&quot;1080&quot; data-end=&quot;1110&quot;&gt;Smart-grid d
 emand response&lt;/strong&gt; (modeling flexible loads\, scheduling under constr
 aints\, and balancing user comfort with grid needs)\,&lt;/p&gt;\n&lt;/li&gt;\n&lt;li data
 -start=&quot;1214&quot; data-end=&quot;1330&quot;&gt;\n&lt;p data-start=&quot;1216&quot; data-end=&quot;1330&quot;&gt;&lt;stro
 ng data-start=&quot;1216&quot; data-end=&quot;1247&quot;&gt;5G &amp;amp\; beyond network slicing&lt;/str
 ong&gt; (resource allocation\, QoS requirements\, and optimization-driven sli
 cing policies).&lt;/p&gt;\n&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p data-start=&quot;1332&quot; data-end=&quot;1721&quot;&gt;Th
 e talk emphasized &lt;strong data-start=&quot;1352&quot; data-end=&quot;1375&quot;&gt;problem formul
 ation&lt;/strong&gt;\, &lt;strong data-start=&quot;1377&quot; data-end=&quot;1405&quot;&gt;tractability vs
 . realism&lt;/strong&gt;\, and &lt;strong data-start=&quot;1411&quot; data-end=&quot;1434&quot;&gt;algorit
 hmic choices&lt;/strong&gt; (exact vs. heuristic/approximate)\, highlighting how
  modeling assumptions drive both solution quality and computational cost. 
 Dr. Belhaiza also presented &lt;strong data-start=&quot;1588&quot; data-end=&quot;1638&quot;&gt;acad
 emic paths and collaboration opportunities&lt;/strong&gt; at KFUPM for EPT stude
 nts (research visits\, graduate studies\, and joint projects).&lt;/p&gt;\n&lt;p dat
 a-start=&quot;1723&quot; data-end=&quot;1919&quot;&gt;&lt;strong data-start=&quot;1723&quot; data-end=&quot;1743&quot;&gt;T
 arget audience:&lt;/strong&gt; undergraduate and graduate engineering students\,
  early-career researchers\, and IEEE volunteers interested in &lt;strong data
 -start=&quot;1853&quot; data-end=&quot;1918&quot;&gt;operations research\, energy systems\, and t
 elecom optimization&lt;/strong&gt;.&lt;br&gt;&lt;img src=&quot;https://events.vtools.ieee.org/
 vtools_ui/media/display/2e7618bc-c6b0-47af-b32a-c9abb0304d9d&quot; width=&quot;338&quot; 
 height=&quot;338&quot;&gt;&lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/disp
 lay/0dfd28c0-85db-48a0-9243-4e0f31ee3d80&quot; width=&quot;256&quot; height=&quot;335&quot;&gt;&lt;img sr
 c=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/7af2a0ae-3c5d-42
 2a-a39a-bc4319770406&quot; width=&quot;258&quot; height=&quot;341&quot;&gt;&lt;img src=&quot;https://events.vt
 ools.ieee.org/vtools_ui/media/display/6d1c405b-11c0-46fe-bbf2-4b52d60b12bd
 &quot; width=&quot;854&quot; height=&quot;555&quot;&gt;&lt;/p&gt;
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