6th International Conference on Machine Vision and Machine Learning (MVML’20)
The keynote speakers for the 6th International Conference on Machine Vision and Machine Learning (MVML'20) will be announced shortly! Thank you for your patience.
Dr. KC Santosh
University of South Dakota, USA
Dr. KC Santosh is the Chair and Associate Professor of the Department of Computer Science (CS) at the University of South Dakota (USD). Before that, for 3 years (till 2020), he was the Graduate Program Director of Department of Computer Science (CS), USD. Dr. Santosh served School of Computing and IT, Taylor’s University as a Visiting Associate Professor, for one year (2019/2020). Before joining USD, Dr. Santosh worked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research centre, Universite de Lorraine in direct collaboration with industrial partner ITESOFT, France. He also served as a research scientist at the INRIA Nancy Grand Est research centre, France, where, he has received his PhD diploma in Computer Science. Before that, he worked as a graduate research scholar at the SIIT, Thammasat University, Thailand. Dr. Santosh has published more than 62 peer-reviewed research articles, 95 conference proceedings, and 7 book chapters. He has authored 4 books, and edited 5 books, 14 journal issues, and 6 conference proceedings. He is currently Editor-In-Chief of IJSIP and an Associate Editor for several journals, such as International Journal of Machine Learning & Cybernetics, Springer Nature and IEEE Access. He has also chaired more than 10 international conference events. His research projects have been funded by multiple agencies, including the SDCRGP, Department of Education (DOE), and the National Science Foundation (NSF). Dr. Santosh is the proud recipient of the Presidents Research Excellence Award (USD, 2019) and an award from the Department of Health & Human Services (2014).
Topic of Keynote: AI for pulmonary abnormality screening: TB, COVID-19, and many more
Dr. Wenwu Wang
University of Surrey, UK
Wenwu Wang is a Professor in Signal Processing and Machine Learning, and a Co-Director of the Machine Audition Lab within the Centre for Vision Speech and Signal Processing, University of Surrey, UK. He is also a Guest Professor at Qingdao University of Science and Technology, China.
He received the B.Sc. degree in 1997, the M.E. degree in 2000, and the Ph.D. degree in 2002, all from the College of Automation, Harbin Engineering University, China. He worked in King’s College London (2002-2003), Cardiff University (2004-2005), Tao Group Ltd. (now Antix Labs Ltd.) (2005-2006), Creative Labs (2006-2007), and University of Surrey (since May 2007). He was a Visiting Scholar at Ohio State University, USA, in 2008. His current research interests include blind signal processing, sparse signal processing, audio-visual signal processing, machine learning and perception, artificial intelligence, machine audition (listening), and statistical anomaly detection. He has (co)-authored over 250 publications in these areas.
He and his team have won the Reproducible System Award on DCASE 2019, Best Student Paper Award on LVA/ICA 2018, the Best Oral Presentation on FSDM 2016, the Top-Quality Paper Award in IEEE ICME 2015, Best Student Paper Award finalists on ICASSP 2019 and LVA/ICA 2010. He and his team have achieved the 1st place in 2020 DCASE challenge on “Urban Sound Tagging with Spatio-Temporal Context”, and the 1st place in the 2017 DCASE Challenge on “Large-scale Weakly Supervised Sound Event Detection for Smart Cars”, the TVB Europe Award for Best Achievement in Sound in 2016, the finalist for GooglePlay Best VR Experience in 2017, and the Best Solution Award on the Dstl Challenge “Under-sampled Signal Recognition” in 2012.
He has been a Senior Area Editor (2019-) and Associate Editor (2014-2018) for IEEE Transactions on Signal Processing. He is an Associate Editor (2020-) for Associate Editor (2019-) for IEEE/ACM Transactions on Audio Speech and Language Processing, and an Associate Editor (2019-) for EURASIP Journal on Audio Speech and Music Processing. He was a Publication Co-Chair for ICASSP 2019, Brighton, UK. He also serves as a Member (2019-) of the International Steering Committee of Latent Variable Analysis and Signal Separation.
More information on his personal page:
Topic of Keynote: Dictionary Learning and Sparse Signal Recovery for Nonlinear Compressive Measurements