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DTSTART:20260308T030000
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DTSTART:20261101T010000
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DTSTAMP:20260409T192412Z
UID:D3260A03-2A97-4CF5-92C6-CA9A75CF4B63
DTSTART;TZID=America/New_York:20260407T180000
DTEND;TZID=America/New_York:20260407T193000
DESCRIPTION:ABSTRACT\n\nArtificial intelligence (AI) has become a foundatio
 nal technology for diverse engineering disciplines. This talk discusses AI
  Engineering\, focusing on the integration of machine learning (ML)\, deep
  learning (DL)\, and large language models (LLMs) into engineering researc
 h and system design. The presentation highlights how AI enables new capabi
 lities in electrical engineering (wireless communications)\, computer engi
 neering (intelligent systems)\, and biomedical engineering (AI medicine). 
 Selected research examples illustrate the application of AI techniques to 
 problems such as signal classification\, system optimization\, and multimo
 dal data analysis. In addition\, the talk discusses research methodology a
 nd technical paper writing\, with emphasis on developing high-impact surve
 y papers and comparative-study papers.\n\nCo-sponsored by: Gunes Karabulut
  Kurt\n\nSpeaker(s): Dr. Yu-Dong Yao\, \n\nRoom: EV001-162\, 1515 Ste. Cat
 herine West (corner with Guy St.)\, MONTREAL\, Quebec\, Canada\, H3G 1M8
LOCATION:Room: EV001-162\, 1515 Ste. Catherine West (corner with Guy St.)\,
  MONTREAL\, Quebec\, Canada\, H3G 1M8
ORGANIZER:anader.benyamin@ieee.org
SEQUENCE:34
SUMMARY:AI Engineering for Modern Engineering Research and Applications
URL;VALUE=URI:https://events.vtools.ieee.org/m/552618
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;Default&quot; style=&quot;margin-right: 5.25p
 t\; text-align: justify\;&quot;&gt;&lt;strong&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;font-family: 
 &#39;Gill Sans MT&#39;\,sans-serif\; letter-spacing: 2.5pt\; mso-bidi-font-style: 
 italic\;&quot;&gt;ABSTRACT&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;text-a
 lign: justify\; tab-stops: 28.0pt 56.0pt 84.0pt 112.0pt 140.0pt 168.0pt 19
 6.0pt 224.0pt 252.0pt 280.0pt 308.0pt 336.0pt\; mso-layout-grid-align: non
 e\; text-autospace: none\;&quot;&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;font-family: &#39;Times 
 New Roman&#39;\,serif\; mso-fareast-font-family: &#39;Times New Roman&#39;\; color: #0
 e101a\;&quot;&gt;Artificial intelligence (AI) has become a foundational technology
  for diverse engineering disciplines. This talk discusses AI Engineering\,
  focusing on the integration of machine learning (ML)\, deep learning (DL)
 \, and large language models (LLMs) into engineering research and system d
 esign. The presentation highlights how AI enables new capabilities in elec
 trical engineering (wireless communications)\, computer engineering (intel
 ligent systems)\, and biomedical engineering (AI medicine). Selected resea
 rch examples illustrate the application of AI techniques to problems such 
 as signal classification\, system optimization\, and multimodal data analy
 sis. In addition\, the talk discusses research methodology and technical p
 aper writing\, with emphasis on developing high-impact survey papers and c
 omparative-study papers.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot; style=&quot;text-alig
 n: justify\; tab-stops: 28.0pt 56.0pt 84.0pt 112.0pt 140.0pt 168.0pt 196.0
 pt 224.0pt 252.0pt 280.0pt 308.0pt 336.0pt\; mso-layout-grid-align: none\;
  text-autospace: none\;&quot;&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;font-size: 10.0pt\; fon
 t-family: &#39;Times New Roman&#39;\,serif\; color: black\;&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;
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