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Israel Cohen (Israel Institute of Technology, Israel)

Lecture Date: March 12-13, 2020
Chapter: Pune
Chapter Chair: Anil S. Tavildar
Topic: Array processing and beamforming with Kronecker products,
Audio-Visual Voice Activity Detection Using Deep Neural Networks

Tao Zhang (Futurewei Technologies, USA)

Lecture Date: August 26, 2019
Chapter: Hamilton
Chapter Chair: Jun Chen
Topic: A Joint Attention Decoding and Adaptive
Beamforming Optimization Approach for the Cocktail Party Problem

Anna Scaglione (Arizona State University, USA)

Lecture Date: September 11, 2019
Chapter: Italy
Chapter Chair: Mauro Barni
Topic: Distributed Learning and Signal Processing Algorithms

26 Sep

Tao Mei (Futurewei Technologies, USA)

Lecture Date: September 26, 2019
Chapter: Taipei
Chapter Chair: Jing-Ming Guo
Topic: From Research to Products:
Empowering Retailing Experiences with Computer Vision

Rick Blum (Lehigh University, USA)

Lecture Date: November 4-5, 2019
Chapter: Israel
Chapter Chair: Arie Yeredor
Topic: Cyber Attacks on Internet of Things Sensor Systems for Inference

Michael Picheny (IBM Research)

Lecture Date: September 5, 2019
Chapter: Chicago
Chapter Chair: Rashid Ansari
Topic: Speech Recognition: What’s Left?

Israel Cohen (Israel Institute of Technology, Israel)

Lecture Date: November 16, 2019
Chapter: Beijing
Chapter Chair: Qiuqi Ruan
Topic: Optimal Array Processing

18 Sep 19 Sep

Neil Gordon (University of Queensland, Australia)

Lecture Date: September 18-19, 2019
Chapter: Malaysia
Chapter Chair: R. Logeswaran
Topics: Signal Processing and the Search for MH370
Beyond the Kalman Filter: 25 Years of Particles and Other Ransom Points

Gaurav Sharma (University of Rochester, USA)

Lecture Date: December 14, 2019
Chapter: Delhi
Chapter Chair: Anubha Gupta
Topics: Set Theoretic Feasibility and Optimality Frameworks for Data Hiding and Privacy

Gaurav Sharma (University of Rochester, USA)

Lecture Date: December 7, 2019
Chapter: Uttar Pradesh
Chapter Chair: Uma Tiwary
Topics: Leveraging Old tricks in a New World: Efficient Generation of
Labeled Data for Deep Learning in Medical Image Segmentation

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