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DESCRIPTION:ABSTRACT: Dr. Lateef will provide a high-level overview of the 
 various Machine Learning Techniques and their application to large data ne
 tworks analysis. He will cover the current start of the art techniques and
  the challenges and shortcomings. A few techniques will then be presented 
 to address these challenges and demonstrate their application in network a
 nalysis.\n\nSpeaker Bio: Dr. Irfan Lateef is currently the chair of IEEE N
 J Coast Section and working as a Principal Solution Architect at NEC\, whe
 re he supports the global 5G business development activities\, End-to-End 
 solution engineering\, partnership and alliances and sales engineering.\n\
 nHe has over 25 years of experience in the Telecom industry in wireline an
 d wireless technologies including\, evolving compute/network virtualizatio
 n (SDN/NFV) and wireless (4G\,5G) technologies directing multi-sized globa
 l teams to build new products and complex solutions for driving new revenu
 es. Leverages trusted relationships with senior executives for driving pre
 -sales\, solution architecture\, and business development activities.\n\nM
 ost recently\, he has been focusing on 5G Open RAN\, massive MIMO\, and Ma
 chine Learning technologies deployments in global Tier1 operators. He is a
  global technology leader who leverages technical strategy\, innovative th
 inking\, and business experience to create and sell transformative solutio
 ns in the telecom industry.\n\nBefore NEC\, Irfan has worked in AT&amp;T\, Ver
 izon\, Juniper\, Lucent Bell Labs\, and several other startups and Tier1 t
 elecom equipment vendors.\n\nHe has a Ph.D. in Computer Engineering and a 
 Master’s in Telecommunications\, and his topics of interest include Mach
 ine Learning\, Artificial Intelligence\, Eigendecomposition\, Signal proce
 ssing\, Anomaly Detection\, and RAN Cross-Layer Optimization.\n\nALL ARE W
 ELCOME\n\nCo-sponsored by: NY Computer Chapter\, Long Island Section Compu
 ter Chapter\, Mid-Hudson Section Computer Chapter\, Schenectady Section Co
 mputer Chapter\, SMC New York\, and the Student Branch at LIU-Brooklyn\n\n
 Speaker(s): Dr. Irfan Lateef\, \n\nAgenda: \nAgenda:\n\n6:00 PM Welcome Re
 marks &amp; introduction\n\n6:15~ 6:50PM Presentation\n\n6:50 ~7:00 PM Q/A\n\n
 Virtual: https://events.vtools.ieee.org/m/312545
LOCATION:Virtual: https://events.vtools.ieee.org/m/312545
ORGANIZER:ptchung@ieee.org
SEQUENCE:3
SUMMARY:IEEE Computer Society Lecture - Machine Learning Techniques for Net
 work Analysis
URL;VALUE=URI:https://events.vtools.ieee.org/m/312545
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;ABSTRACT:&amp;nbsp\;&lt;/strong&gt;Dr. Latee
 f will provide a high-level overview of the various Machine Learning Techn
 iques and their application to large data networks analysis. He will cover
  the current start of the art techniques and the challenges and shortcomin
 gs. A few techniques will then be presented to address these challenges an
 d demonstrate their application in network analysis.&lt;strong&gt;&lt;br /&gt;&lt;br /&gt;&lt;/
 strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Speaker Bio: Dr. Irfan Lateef &lt;/strong&gt;is currentl
 y the chair of&amp;nbsp\; IEEE NJ Coast Section and working as a Principal Sol
 ution Architect at NEC\, where he supports the global 5G business developm
 ent activities\, End-to-End solution engineering\, partnership and allianc
 es and sales engineering.&lt;/p&gt;\n&lt;p&gt;He has over 25 years of experience in th
 e Telecom industry in wireline and wireless technologies including\, evolv
 ing compute/network virtualization (SDN/NFV) and wireless (4G\,5G) technol
 ogies directing multi-sized global teams to build new products and complex
  solutions for driving new revenues. Leverages trusted relationships with 
 senior executives for driving pre-sales\, solution architecture\, and busi
 ness development activities.&lt;/p&gt;\n&lt;p&gt;Most recently\, he has been focusing 
 on 5G Open RAN\, massive MIMO\, and Machine Learning technologies deployme
 nts in global Tier1 operators. He is a global technology leader who levera
 ges technical strategy\, innovative thinking\, and business experience to 
 create and sell transformative solutions in the telecom industry.&lt;/p&gt;\n&lt;p&gt;
 Before NEC\, Irfan has worked in AT&amp;amp\;T\, Verizon\, Juniper\, Lucent Be
 ll Labs\, and several other startups and Tier1 telecom equipment vendors.&lt;
 /p&gt;\n&lt;p&gt;He has a Ph.D. in Computer Engineering and a Master&amp;rsquo\;s in Te
 lecommunications\, and his topics of interest include Machine Learning\, A
 rtificial Intelligence\, Eigendecomposition\, Signal processing\, Anomaly 
 Detection\, and RAN Cross-Layer Optimization.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;em&gt;&amp;nbsp\;A
 LL ARE WELCOME&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;A
 genda:&amp;nbsp\;&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;em&gt;6:00 PM&amp;nbsp\;Welcome Rema
 rks&lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt; &amp;amp\; introduction&amp;nbsp\;&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;
 \n&lt;p&gt;&lt;strong&gt;&lt;em&gt;6:15~ 6:50PM Presentation&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;
 em&gt;6:50 ~7:00 PM&lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt; Q/A &lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbs
 p\;&lt;/p&gt;
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