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Hardware Signal Processing – FPGA Implementation aspects of DSP Algorithms

𝗖𝘂𝗿𝗶𝗼𝘂𝘀 𝗮𝗯𝗼𝘂𝘁 𝗵𝗼𝘄 𝘀𝗶𝗴𝗻𝗮𝗹 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗶𝘀 𝗮𝗽𝗽𝗹𝗶𝗲𝗱 𝗶𝗻 𝗵𝗮𝗿𝗱𝘄𝗮𝗿𝗲 𝗹𝗲𝘃𝗲𝗹? 𝙀𝙖𝙜𝙚𝙧 𝙩𝙤 𝙚𝙭𝙥𝙡𝙤𝙧𝙚 𝙁𝙋𝙂𝘼 𝙞𝙢𝙥𝙡𝙚𝙢𝙚𝙣𝙩𝙖𝙩𝙞𝙤𝙣 𝙖𝙨𝙥𝙚𝙘𝙩𝙨 𝙤𝙛 𝘿𝙎𝙋 𝙖𝙡𝙜𝙤𝙧𝙞𝙩𝙝𝙢𝙨? IEEE Signal Processing Society at UoM organizes the virtual session on Hardware Signal Processing - FPGA Implementation Aspects of DSP Algorithms as a scintillating opportunity for undergraduates to widen their horizons on the latest trends in the world of Signal processing! 𝗦𝗽𝗲𝗮𝗸𝗲𝗿 : Dr. Chamith Wijenayake 𝗗𝗮𝘁𝗲 : 29th October 2020 𝗧𝗶𝗺𝗲 : 10:30 a.m. Grab your seat today! Register Now: https://edu.ieee.org/lk-uomsps/fpga-reg/ Join the Event Group : https://edu.ieee.org/lk-uomsps/group/

Advances in Deep Learning

IEEE Signal Processing Society at UoM proudly presents the virtual session on one of the key machine learning tools deep learning, for enthusiastic undergraduates who are ready to dive into the world of artificial intelligence! Don't miss this opportunity to learn more about recent advances in the field of deep learning and its applications in natural language processing, computer vision and more, from a senior research scientist at Google research! Reserve your space today! Register Now: https://edu.ieee.org/lk-uomsps/dl-register/ Join the Event Group: https://edu.ieee.org/lk-uomsps/group/

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Webinar on Meta Learning : Search for a unified method for remembering the past and predicting the future

Abstract: With the rise of the deep learning era, data became the new oil. However, data is expensive to store and collect. Every day there are millions of images, videos, and texts added to the internet. Our systems/models should be able to adapt to the changes in the new data and able to remember the knowledge from the past. Continual learning addresses one of these problems, by learning new tasks/knowledge while remembering the past. This allows us to keep only the very recent data in our systems. On the other hand, some of the data is very expensive and is not readily available. In these scenarios, few-shot learning helps to quickly adapt to new data distributions with a very limited amount of data. Recently, meta-learning became very popular due to its ability to learn more general representations. In this talk, we will discuss continual learning, few-shot learning, and how both of these methods can be unified via meta-learning. Bio: Jathushan Rajasegaran received his BSc in Electronics and Telecommunication Engineering from the University of Moratuwa, Sri Lanka in 2018. Following his undergraduate, he spent 2 years at the Inception Institute of Artificial Intelligence, UAE, working on continual learning, meta-learning, and few-shot learning. After that, he joined the University of California Berkeley, and he is currently a first-year Ph.D. student at BAIR. His research interests are mainly in learning methods for deep neural networks including continual learning, meta-learning, and few-shot learning, and 3D vision. Register Now : https://forms.gle/RxHfdDyugwKj2WRz9

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Webinar on Next Generation Radio Astronomy with the Square Kilometre Array – A Signal Processing Perspective

Online - Zoom Meeting

Abstract: The Square Kilometre Array (www.skatelescope.org (http://www.skatelescope.org/)) project is an international collaboration to build the ‘World’s largest’ synthesis aperture telescope for radio frequencies. The name implies its ambitious goal to have approximately one square kilometre of collection area. The unprecedented sensitivity made possible by the huge collection area and the expected advancement of technology drive the science goals of the SKA that include probing into the formation and evolution of the first stars and galaxies after the Big Bang, the role of cosmic magnetism, the nature of gravity and the search of extra-terrestrial life (SETI). However, technological and financial realities have made the construction to be completed in multiple phases. In phase-1, it is expected to achieve approximately 10% of the collection area. In 2012, it was decided that the Murchison region of Western Australia to host the low-frequency (50-350 MHz) telescope and the Karoo region in South Africa to host the mid-frequency (0.35-15.3 GHz) telescope. Around the same time, 12 consortia were formed with the mandate to design and cost the key elements of the telescope. By the middle of 2020, most of these consortia had successfully completed their mandates. So far, six nations, Australia, Italy, the Netherlands, Portugal, South Africa and the United Kingdom have ratified the new intergovernmental organization of the SKA Observatory. The governing body had the first board meeting last month. Now, the project is in its early construction stage. This presentation focuses on the signal processing aspects of the SKA Phase-1 telescopes. Although the new advancements in the technology in Digital Signal Processing (DSP), fiber optics and machine learning techniques are encouraging, the increase in Radio Frequency Interference (RFI) in the selected ‘radio-quite’ host sites poses new challenges for the design of the signal chain as well as the effectiveness of the telescopes. Bio: Thushara K. Gunaratne was born in Colombo, Sri Lanka. In 2004, he received the B.Sc. Engineering degree in Electronics and Telecommunication Engineering from the University of Moratuwa, Sri Lanka, and the M.Sc. and Ph.D. degrees in Electrical Engineering from the University of Calgary, Canada, in 2007 and 2011, respectively. He is currently a Research Council Officer – Signal Processing at the Hertzberg Astronomy and Astrophysics Research Center, National Research Council (NRC) Canada. He has been involved in the design and implementation of the signal chain for the Correlator Beamformer (CBF) of the SKA Phase-1 Mid Telescope. Previously, for a brief period of time, he was with the International Centre for Radio Astronomy Research (ICRAR), Curtin University, Perth, Western Australia and was involved in the Aperture Array Verification System (AAVS) for the SKA Phase-1 Low Telescope. Reserve your space today! https://edu.ieee.org/lk-uomsps/radio-astro/

Webinar on Chromatic Derivatives and Applications

Online - Zoom Meeting

Chromatic derivatives are special, numerically robust differential operators which preserve spectral features of a signal; the associated chromatic expansions, when truncated, provide approximations which accurately capture local features of a signal. For this reason they allow digital processing of continuous time signals often superior to processing of discrete samples of such signals. We present the motivation for introducing these notions, their main properties and mention some of their applications. About the Speaker Aleksandar Ignjatovic received the PhD degree in mathematical logic from the University of California, Berkeley. He is an Associate Professor in the School of Computer Science and Engineering at the University of New South Wales, Australia. His current research interests include approximation theory, sampling theory and applied harmonic analysis, algorithm design and applications of mathematical logic to computational complexity theory. Stay Tuned! Register Now! http://edu.ieee.org/lk-uomsps/cd/    

Workshop on How to Tackle a Global Competition

Have you ever wondered how to flaunt in a global competition? Get ready to meet our international champions along with their supervisor to acquire expertise to achieve in a global competition  Team T-Cubed Winners of IEEE Signal Processing cup 2021 Team DigitX Winners of IEEE ICAS 2021 challenge To inspire Sri Lankan undergraduates, our champion teams are looking forward to  Share their experience on tackling a global competition Share advice on effectively presenting the solution to a global audience Nothing is more expensive than a missed opportunity ,Grab this ultimate chance to prepare for the 5 minutes video clip contest organised by IEEE Signal Processing Society Student Branch Chapter of University of Moratuwa to assure the winning prospect 𝗗𝗮𝘁𝗲 : 5th September 2021 𝗧𝗶𝗺𝗲 : 5.00 pm - 6.30 pm Grab Your Seats Today! Register Now: https://spsuom.ml/reg

Workshop on Signal Processing in Financial Markets

"FinTech is not only an enabler, but the driving engine” ~ Pierre Gramegna  Speakers for the session: Head of Hardware Acceleration Systems at LSEG Technology, Mr. Thayaparan Sripavan Senior Product Manager, Risk and collateral Systems at LSEG Technology, Mr.Najith Liyanage Don't miss this opportunity to learn more about how Signal Processing in Financial Markets enables risk analysis, hardware acceleration and many more using latest technologies! 𝗗𝗮𝘁𝗲 : 16th September 2021 𝗧𝗶𝗺𝗲 : 11.00 am – 12.00 pm Reserve your space now : https://spsuom.ml/reg  

How to Do a Good Presentation

Online - Zoom Meeting

🌟 Exclusive Workshop Alert! 🌟 🎉 Join us for the First Workshop on " How to Do a Good Presentation? " and get ready to captivate your audience with confidence and finesse! 🗓 Date: August 18, 2023 ⏰ Time: 6:30 PM 🎙 Keynote Speakers: 🎤 Speaker 1: Mr. Ramith Hettiarachchi Post Baccalaureate Fellow at Harvard University 🎤 Speaker 2: Mr. Kithmini Herath PhD Student at UC Berkeley 📌 Don't miss this golden opportunity to learn from the best in the field! Gain insights, tips, and techniques to make your presentations unforgettable.