BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Australia/Brisbane BEGIN:STANDARD DTSTART:19920301T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 TZNAME:AEST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260817T040604Z UID:BCF37FDD-8742-4C2E-A5EE-41389932F9F9 DTSTART;TZID=Australia/Brisbane:20260814T160000 DTEND;TZID=Australia/Brisbane:20260814T170000 DESCRIPTION:IEEE Queensland Section Signal Proc & Comms Chapter is pleased to invite you to a Distinguished Lecturer talk (hybrid) by Prof. Woon-Seng Gan from Nanyang Technological University (NTU)\, Singapore.\n\nTitle: En vironmental Acoustic Intelligence: Intelligent Sound Perception to Context -aware Active Noise Control\n\nDate and time: Aug 14\, 4- 5 pm\n\nVenue: 4 9-601\, the University of Queensland\n\nIn this presentation\, Professor W oon-Seng Gan will share insights into the links between advanced acoustic perception and Active Noise Control (ANC)\, highlighting recent developmen ts\, key challenges\, and future opportunities in the field.\n\nThis event offers an excellent opportunity for academics\, researchers\, students\, and industry professionals to engage with a leading expert and participate in stimulating discussions.\n\nLight refreshments will be provided. We lo ok forward to your participation.\n\nAbstract:\n\nEnvironmental Acoustic I ntelligence (EAI) is transforming conventional noise monitoring into conte xt-aware systems capable of intelligently perceiving\, interpreting\, and responding to complex acoustic environments. This talk focuses on the crit ical link between advanced acoustic perception\, including sound event det ection\, localization\, and scene classification and real-world interventi ons like adaptive Active Noise Control (ANC).\n\nCrucially\, the presentat ion examines the paradigm shift from traditional adaptive filtering techni ques\, such as the Filtered-x Least Mean Square (FxLMS) algorithm\, toward advanced AI-driven approaches for ANC. We explore the deployment of Convo lutional Neural Networks (CNNs)\, leveraging advanced representations like 1D CNN encoders and latent space projections to achieve highly responsive Selective Fixed-filter ANC (SFANC). Furthermore\, the integration of Rein forcement Learning (RL) is discussed as a mechanism for developing autonom ous acoustic agents capable of continuously fine-tuning their control stra tegies in dynamic\, unpredictable environments.\n\nBy addressing practical constraints such as latency\, acoustic-path variations\, and edge-computi ng limitations\, these AI-driven methodologies empower closed-loop EAI sys tems. Ultimately\, this progression moves beyond passive monitoring to imp lement intelligent\, context-aware noise mitigation that adapts seamlessly to both complex physical environments and human perceptual needs.\n\nBiog raphy:\n\nWoon-Seng Gan is a Professor of Audio Engineering and Director o f the Smart Nation TRANS Lab at Nanyang Technological University (NTU)\, S ingapore\, where he leads efforts to translate AI research into real-world deployments. His research bridges the physical world and signal processin g\, with a specific focus on active noise control (ANC) and spatial audio\ , resulting in over 400 publications\, eight patents\, and three co-author ed books. A Fellow of the AES\, and IET\, he was named an IEEE Signal Proc essing Society Distinguished Lecturer in 2023 and received the prestigious 2017 APSIPA Sadaoki Furui Prize Paper Award for his work on ANC. In addit ion to serving as the President of the Asia Pacific Signal and Information Processing Association (APSIPA) and Technical Program Chair for Internati onal Conference on Acoustic\, Speech and Signal Processing (ICASSP) 2022\, Prof. Gan actively advises government agencies on environmental noise sen sing and mitigation\, and has had his work featured in global media outlet s such as the New York Times\, CBS\, and CNN.\n\nRoom: 601\, Bldg: 49\, t he University of Queensland\, Brisbane\, Queensland\, Australia\, Virtual: https://events.vtools.ieee.org/m/571640 LOCATION:Room: 601\, Bldg: 49\, the University of Queensland\, Brisbane\, Queensland\, Australia\, Virtual: https://events.vtools.ieee.org/m/571640 ORGANIZER:jihuiaimee.zhang@uq.edu.au SEQUENCE:70 SUMMARY:Environmental Acoustic Intelligence: Intelligent Sound Perception t o Context-aware Active Noise Control URL;VALUE=URI:https://events.vtools.ieee.org/m/571640 X-ALT-DESC:Description: <br /><p>IEEE Queensland Section Signal Proc &amp\; Comms Chapter is pleased to invite you to a <strong>Distinguished Lecture r talk</strong> (hybrid) by <strong>Prof. Woon-Seng Gan</strong> from Nany ang Technological University (NTU)\, Singapore.</p>\n<p><strong>Title</str ong>: Environmental Acoustic Intelligence: Intelligent Sound Perception to Context-aware Active Noise Control</p>\n<p><strong>Date and time: </stron g>Aug 14\, 4- 5 pm</p>\n<p><strong>Venue:</strong> 49-601\, the University of Queensland</p>\n<p>&nbsp\;</p>\n<div>\n<p>In this presentation\, Profe ssor Woon-Seng Gan will share insights into <strong>the links between adva nced acoustic perception and Active Noise Control (ANC)</strong>\, highlig hting recent developments\, key challenges\, and future opportunities in t he field.</p>\n<p>This event offers an excellent opportunity for academics \, researchers\, students\, and industry professionals to engage with a le ading expert and participate in stimulating discussions.</p>\n</div>\n<p>L ight refreshments will be provided.&nbsp\;We look forward to your particip ation.</p>\n<p><strong>Abstract</strong>:</p>\n<p>Environmental Acoustic I ntelligence (EAI) is transforming conventional noise monitoring into conte xt-aware systems capable of intelligently perceiving\, interpreting\, and responding to complex acoustic environments. This talk focuses on the crit ical link between advanced acoustic perception\, including sound event det ection\, localization\, and scene classification and real-world interventi ons like adaptive Active Noise Control (ANC).</p>\n<p>Crucially\, the pres entation examines the paradigm shift from traditional adaptive filtering t echniques\, such as the Filtered-x Least Mean Square (FxLMS) algorithm\, t oward advanced AI-driven approaches for ANC. We explore the deployment of Convolutional Neural Networks (CNNs)\, leveraging advanced representations like 1D CNN encoders and latent space projections to achieve highly respo nsive Selective Fixed-filter ANC (SFANC). Furthermore\, the integration of Reinforcement Learning (RL) is discussed as a mechanism for developing au tonomous acoustic agents capable of continuously fine-tuning their control strategies in dynamic\, unpredictable environments.</p>\n<p>By addressing practical constraints such as latency\, acoustic-path variations\, and ed ge-computing limitations\, these AI-driven methodologies empower closed-lo op EAI systems. Ultimately\, this progression moves beyond passive monitor ing to implement intelligent\, context-aware noise mitigation that adapts seamlessly to both complex physical environments and human perceptual need s.</p>\n<p><strong>Biography</strong>:&nbsp\;</p>\n<p>Woon-Seng Gan is a P rofessor of Audio Engineering and Director of the Smart Nation TRANS Lab a t Nanyang Technological University (NTU)\, Singapore\, where he leads effo rts to translate AI research into real-world deployments. His research bri dges the physical world and signal processing\, with a specific focus on a ctive noise control (ANC) and spatial audio\, resulting in over 400 public ations\, eight patents\, and three co-authored books. A Fellow of the AES\ , and IET\, he was named an IEEE Signal Processing Society Distinguished L ecturer in 2023 and received the prestigious 2017 APSIPA Sadaoki Furui Pri ze Paper Award for his work on ANC. In addition to serving as the Presiden t of the Asia Pacific Signal and Information Processing Association (APSIP A) and Technical Program Chair for International Conference on Acoustic\, Speech and Signal Processing (ICASSP) 2022\, Prof. Gan actively advises go vernment agencies on environmental noise sensing and mitigation\, and has had his work featured in global media outlets such as the New York Times\, CBS\, and CNN.</p> END:VEVENT END:VCALENDAR