Mission

To bring the various ocean engineering skills and resources of the many relevant groups in Singapore academia and industry together with a common aim to create new opportunities for all involved in the underwater technology arena.

Goal

To network, collaborate and raise awareness of Singapore as a regional hub of excellence in marine technology, focused on promoting Ocean Engineering related conference and exhibition in Singapore.

News

Activities

Date:
27 May 2022 (Thursday)
Time:
4:00PM SGT
Venue:
S2S Conference Room
Abstract:
The talk focoses on discussing the ocean observation technologies in JASCO for marine traffic and marine life monitoring.
Biography:
Christopher worked at JASCO Applied Sciences for around 15 years, and is now transitioning into his new role at Irving Ship building. He is also the President of the OES and member of IEEE Joint-OU ad hoc Sustainability Committee.

Date:
22 July 2021 (Thursday)
Time:
8:30AM SGT
Venue:
Virtual talk through Zoom
Abstract:
Passive acoustic monitoring (PAM) methods are used for monitoring and studying a wide variety of soniferous marine fauna. The use of automatic recognition techniques has largely underpinned the successes of PAM undertakings by improving the ease and repeatability of analyses. Over the past decade, the adoption of machine learning (ML) based recognition techniques has brought about improved accuracy and reliability in mining large acoustic datasets, facilitating a suite of ecological studies, such as call-or cue-based density estimation, stock identification, or cultural transmissions. This talk will provide an overview of PAM undertakings, present a brief overview of the various automation techniques used and contrast them with modern ML-based techniques. We will present a gentle introduction to ML concepts as they apply to acoustic event recognition, and provide a hands-on demonstration of developing a ML model using real underwater acoustic recordings.
Biography:
Shyam Madhusudhana is a postdoctoral researcher at the K. Lisa Yang Center for Conservation Bioacoustics (CCB) within the Cornell Lab of Ornithology. His research interests arelargely multidisciplinary as is his academic background–Bachelors in Engineering, Masters in Computer Science, and PhD in Applied Physics. He has also worked as a speech scientist for a leading Automatic Speech Recognition solutions provider. Prior to joining CCB, he has beena research associate atthe Centre for Marine Science and Technology in Australia, a research associate at the National Institute of Oceanography, Goa, India and a postdoctoral research fellow at the Indian Institute of Science Education and Research in Tirupati, India. His current research involves developing deep-learning techniques for realizing effective and efficient machine-listening in the big-data realm, with applications in themonitoring of both marine and terrestrial fauna.

Date:
25 May 2021 (Tuesday)
Time:
8:00AM EST
Venue:
Virtual talk through Zoom
Abstract:
Acoustic communication systems are prone to extreme Doppler distortions, which are evident as motion-induced center frequency shifting as well as bandwidth spreading caused by random fluctuations in the propagation medium. In multi-carrier acoustic systems operating in conditions of high mobility, Doppler shifts can easily exceed carrier separation, while residual time-variation may cause inter-carrier interference. In this lecture, we overview the basic properties of acoustic communication channels and discuss custom-made Doppler compensation methods for multi-carrier systems. We demonstrate excellent performance of these methods using real data recorded on a mobile underwater acoustic channel.
Biography:
Milica Stojanovic graduated from the University of Belgrade, Serbia, in 1988, and received the M.S. and Ph.D. degrees in electrical engineering from Northeastern University in Boston, in 1991 and 1993, respectively. She was a Principal Scientist at the Massachusetts Institute of Technology, and in 2008 joined Northeastern University, where she is currently a Professor of Electrical and Computer Engineering. She is also a Guest Investigator at the Woods Hole Oceanographic Institution. Her research interests include digital communications theory, statistical signal processing and wireless networks, and their applications to underwater acoustic systems. Milica is a Fellow of the IEEE, an Associate Editor for the IEEE Journal of Oceanic Engineering, and the Chair of the IEEE Ocean Engineering Society’s Technical Committee for Underwater Communication, Navigation and Positioning. She also serves on the Editorial Board of the IEEE Signal Processing Magazine and has in past served on the Advisory Board of the IEEE Communication Letters, as an Associate Editor for the IEEE Transactions on Signal Processing, and Associate Editor for the IEEE Transactions on Vehicular Technology. Milica is the recipient of the 2015 IEEE/OES Distinguished Technical Achievement Award, and the 2019 IEEE WICE Outstanding Achievement Award.

Date:
18 March 2021 (Thursday)
Venue:
Online event: TC webinar series
Abstract:
Acoustic data provide scientific and engineering insights in fields ranging from biology and communications to ocean and Earth science. This talk provides a survey of the recent advances and transformative potential of machine learning (ML), including deep learning, in the field of acoustics. We first provide an overview of ML theory, then discuss several applications in acoustics, including source localization and geophysical inverse problems. With large volumes of training data, ML can discover models describing complex acoustic phenomena such as human speech and reverberation. ML in acoustics is rapidly developing with compelling results and significant future promise.
Biography:
Michael Bianco is an Assistant Project Scientist with the Marine Physical Laboratory, University of California San Diego (UCSD), La Jolla, CA, USA. Mike received his Ph.D. degree in Applied Ocean Science from UCSD in 2018 with a thesis focus on machine learning in geophysical inverse problems. Prior to his Ph.D., Mike obtained the B.Sc. degree in Aeronautical and Astronautical Engineering from the Purdue University College of Engineering, West Lafayette, IN, USA, in 2007 and the M.Sc. degree in Oceanography from UCSD in 2015. From 2008–2012, he was an Engineer with Rocketdyne in Los Angeles, CA. His research interests include signal processing and machine learning theory in acoustics and geophysical inverse problems. Mike is a member of the IEEE Signal Processing Society.

Committee

Sponsors

SAUVC 2019 sponsors

onrg
subCtech
blue robotics
nortek
sterling solutions
lee foundation
ieee oes
tmsi

Sponsor and Co-organizer

nus
sp

Some sponsors of our past events include

sonardyne
SGInnovate
atlas electronik
thales
st electronics
sutd
sea and land technologies