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Bhiksha Raj (Carnegie Mellon University, USA)

Lecture Date: June 8, 2018
Chapter: Kansai
Chapter Chair: Tatsuya Kawahara
Topic: Generating adversarial examples with a neural network

Michael Picheny (IBM Research)

Lecture Date: July 3, 2018
Chapter: Turkey
Chapter Chair: Murat Saraclar
Topic: Speech Recognition: What’s Left?

Wing-Kin (Ken) Ma (The Chinese University of Hong Kong)

Lecture Date: June 1 & 7, 2018
Chapter: France 
Chapter Chair: William Puech
Topic: (1) Hyperspectral Unmixing in Remote Sensing: Learn the
Wisdom There and Go Beyond (Machine Learning Included)
(2) MIMO Transceiver Designs and Optimization: Beyond Beamforming and
Perfect Channel Information

Wing-Kin (Ken) Ma (The Chinese University of Hong Kong)

Lecture Date: June 5, 2018
Chapter: Benelux 
Chapter Chair: Francois Horlin
Topic: Hyperspectral Unmixing in Remote Sensing: Learn the
Wisdom There and Go Beyond (Machine Learning Included)

Jan Allebach (Purdue University, USA)

Lecture Date: May 1, 2018
Chapter: Santa Clara Valley
Chapter Chair: Pavel Tcherniaev
Topic: Small, Medium, and Big Data: Application of Machine
Learning Methods to the Solution of
Real-World Imaging and Printing Problems

 

Petros Maragos (National Technical University, Athens)

Lecture Date: May 4, 2018
Chapter: Greece
Chapter Chair: Athanasios Rontogiannis
Topic: Dynamical Systems on Weighted Lattices: Nonlinear
Processing and Optimization

Rick Blum (Lehigh University, USA)

Lecture Date: July 9, 2018
Chapter: Bangalore
Chapter Chair: Venkatesh Radhakrishnan
Topic: TBD

Rick Blum (Lehigh University, USA)

Lecture Date: July 7, 2018
Chapter: Madras
Chapter Chair: S. Salivahanan
Topic: Cyber Attacks on Sensor Systems for Estimation and Detection

Rick Blum (Lehigh University, USA)

Lecture Date: July 5, 2018
Chapter: Kerala
Chapter Chair: Suresh Kumarasamy
Topic: Cyber Attacks on Internet of Things Systems

Tulay Adali (University of Maryland Baltimore County, USA)

Lecture Date: June 7, 2018
Chapter: Germany
Chapter Chair: Wolfgang Utschick
Topic:Data Fusion through Matrix and Tensor Factorizations: 
An overview of solutions, challenges, and prospects

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