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The Latest News, Articles, and Events in Signal Processing

Dr. Arpan Pal has more than 30 years of experience in the area of Intelligent Sensing, Signal Processing &AI, Edge Computing and Affective Computing. Currently, he serves as a Distinguished Chief Scientist and Research Area Head, Embedded Devices and Intelligent Systems, TCS Research. He is working in the areas of Connected Health, Smart Manufacturing, Smart Retail and Remote Sensing.

The IEEE Signal Processing Society (SPS) invites nominations for the positions of Awards Board Chair and Fellow Evaluation Committee - Chair and Vice Chair. Nominations should be received no later than 13 July 2023.

IEEE Journal of Selected Topics in Signal Processing

A new initiative of JSTSP, Special Series on AI in Signal & Data Science, is launched, to be published within the IEEE Journal of Selected Topics in Signal Processing (JSTSP). Submission Deadline: 1 July 2023.

Date:  11-15 July 2023
Chapter: UK & Ireland Chapters
Chapter Chair: Marwan M. Al-Akaidi
Title: TBD

Millimeter wave (mmWave) communications provide a promising solution to meet the proliferating demand for high data rate because of large bandwidth. The current “boomingly” deployed fifth generation communication system (5G) has not actually touched the dominant frequency band of mmWave and thus can hardly enjoy its merit on dramatically boosting transmission rate, which motivates us to conduct research on the ultimate implementation of mmWave communications.

Princeton University

Postdoc Position

Date: 14 August 2023
Time: 2:00 PM ET (New York Time)
Speaker(s): Dr. Hossein Talebi, Dr. Peyman Milanfar

The Entrepreneurship Forum & Startup Fair, featured for the second year at ICASSP, the IEEE International Conference on Acoustics, Sound & Signal Processing. ICASSP is a conference of the IEEE Signal Processing Society (SPS).

IEEE Signal Processing Magazine

The 75th anniversary of the IEEE Signal Processing Society (SPS) is an ideal time to look at the rapid advances in our field and the many ways that these increasingly powerful technologies have transformed our professions and the world. This is not just a time to celebrate past achievements and pat ourselves on the back, but also to educate young students and innovators about the history of our profession, the challenges we have overcome, and the breakthroughs that have led to the incredible growth of Signal Processing (SP).

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