Gloria Menegaz is a professor of bioengineering in the Department of Computer Science, University of Verona, Italy where she leads the Neuroimaging Lab. She serves as an associate editor of IEEE Signal Processing Letters and EURASIP Journal on Image and Video Processing, and she was a guest editor of Journal of Display Technology.
Since the establishment of the IEEE BBDITM Signal Processing Society on December 30, 2020, we have successfully organized 54 events. There was a grand inauguration of the society chapter on February 4, 2021. And several other events were organized both offline as well as online by our branch chapter.
If you want to test your circuit design being an electrical or electronics engineer, then you have chosen the right event. Test your design, simulation, and hardware implementation skills with real-time applications (in collaboration with IEEE Robotics and Automation Society).
In the year 2021 SPS StB Chapter of the Indian Institute of Information Technology, conducted many events to date and a few are in the pipeline. It has conducted 3 executive committee meetings in hybrid mode and two hands-on-demo ac co-organizers on 2D and 3D CNNs for Face Recognition by Dr. Satish Kumar Singh and Mr. Nayaneesh Mishra on December 6, 2021.
The 2022 Multimedia Prize Paper Award Nomination Period is Open. Any paper published in T-MM in 2019, 2020 or 2021 is eligible. Judging shall be on the bases of originality, subject matter, timeliness, potential impact, and presentation quality.
The 2022 Multimedia Prize Paper Award Nomination Period is Open. Any paper published in T-MM in 2019, 2020 or 2021 is eligible. Judging shall be on the bases of originality, subject matter, timeliness, potential impact, and presentation quality.
X-ray security screening is widely utilized in aviation and transportation, and its importance has sparked interest in automated screening systems. The goal of this webinar is to explore computerized X-ray security imaging methods by classifying them into traditional machine learning and modern deep learning applications.
Dr. Oriol Vinyals is a Principal Scientist at DeepMind, and a team lead of the Deep Learning group. His work focuses on Deep Learning and Artificial Intelligence. Prior to joining DeepMind, Oriol was part of the Google Brain team. He holds a Ph.D. in EECS from the University of California, Berkeley and is a recipient of the 2016 MIT TR35 innovator award.
The use of wireless frequencies above 100 GHz has attracted considerable interest for both massive bandwidth communication links and very high resolution RADAR and sensing. Systems in these frequencies have unique characteristics in terms of device nonlinearities, MIMO architectures and radio propagation that in turn present significant design challenges.