Lectures

 

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13 Apr

Peyman Milanfar (Google Research)

Lecture Date: April 13, 2017
Chapter: Toronto
Chapter Chair: Mehrnaz Shokrollahi
Topic: TBD

18 Oct

Paris Smaragdis (Siebel Center for Computer Science, USA)

Lecture Date: October 18, 2017
Chapter: United Kingdom & Ireland
Chapter Chair: Marwan Al-Akaidi
Topic: Machine Listening: Making Computers that Understand Sound

28 Apr

Athina Petropolu (Rutgers University)

Lecture Date: April 28, 2017
Chapter: Eastern NC
Chapter Chair: Huaiyu Dai
Topic: TBD

30 Mar

Akihiko (Ken) Sugiyama (NEC Corp., Japan)

Lecture Date: March 30, 2017
Chapter: Malaysia
Chapter Chair: Syed Abu Bakar
Topic: What I wish I knew when I was an entry level engineer

29 Mar

Akihiko (Ken) Sugiyama (NEC Corp., Japan)

Lecture Date: March 29, 2017
Chapter: Malaysia
Chapter Chair: Syed Abu Bakar
Topic: Signal Processing for Robot Audition: How signal processing helps
a robot recognize user commands in adverse environment

17 May

Athina Petropolu (Rutgers University)

Lecture Date: May 17, 2017
Chapter: Turkey
Chapter Chair: Suleyman Serdar Kozat
Topic: Mobile Beamformers and Optimal Motion Policies

27 Apr

Yoram Bresler (University of Illinois, USA)

Lecture Date: April 21, 2017
Chapter: Utah
Chapter Chair: Joel Harley
Topic: The Invention of Compressive Sampling

14 Mar

Josiane Zerubia (INRIA, Sophia-Antipolis Méditerranée)

Lecture Date: March 14, 2017
Chapter: UAE
Chapter Chair: Sharif Bayan
Topic: Marked Point Processes For Object Detection and Tracking in High
Resolution Images: Applications to Remote Sensing and Biology

12 Mar

Josiane Zerubia (INRIA, Sophia-Antipolis Méditerranée)

Lecture Date: March 12, 2017
Chapter: UAE
Chapter Chair: Bayan Sharif
Topic: High High Resolution Optical and SAR Satellite Image Processing for Disaster
Management Using Hierarchical MRFs

07 Sep

Hermann Ney (RWTH Aachen University, Germany)

Lecture Date: September 7, 2017
Chapter: Italy
Chapter Chair: Stefano Tubaro
Topic: Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks

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