Title: Women In Signal Processing
Bio:Celia Shahnaz (Senior Member, IEEE) received the B.Sc. and M.Sc. degrees from Concordia University, Montreal, QC, Canada, in 2000 and 2002, respectively, and the Ph.D. degree in electrical and computer engineering, in 2009. She is currently working as a Professor with the Department of Electrical and Electronic Engineering (EEE), BUET. She is a fellow of IEB and has published more than 120 international journals and conference papers. She was a recipient of the Canadian Commonwealth Scholarship and Fellowship for pursuing the Ph.D. study, Canada, in 2004. Her research interests include the areas of speech analysis, speech enhancement, multimodal emotion recognition, digital watermarking, audio-visual recognition for biometric security, multimedia communication, control systems, robotics, signal processing, pattern recognition, and machine learling for audio, video, biomedical, and power signals. She is a member of the Technical Committee, Image, Video, and Multimedia (IVM) and Asia Pacific Signal and Information Processing Association (APSIPA).(Based on document published on 11 August 2021).
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Prof. Dr. Leornado Tomazeli Duarte
Title: Young Professional in signal processing
Bio:Leonardo Tomazeli Duarte received the B.S. and M.Sc. degrees in electrical engineering from the University of Campinas (UNICAMP), Brazil, in 2004 and 2006, respectively, and the Ph.D. degree from the Grenoble Institute of Technology (Grenoble INP), France, in 2009. Since 2011, he has been with the School of Applied Sciences (FCA) at UNICAMP, Limeira, Brazil, where he is currently an assistant professor. He is also a member with the Laboratory of Data Analysis and Decision Aiding (LAD2/CPO) and with the Laboratory of Signal Processing for Communications (DSPCom lab). He is a Senior Member of the IEEE. In 2016, he was a Visiting Professor at the École de Génie Industriel (GI-Grenoble INP, France). Since 2015, he has been recipient of the National Council for Scientific and Technological Development (CNPq, Brazil) productivity research grant. In 2017, he was the recipient of UNICAMP “Zeferino Vaz” Academic Recognition Award (for research and teaching performance at UNICAMP).
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Title: Bridging industry and academic in Signal processing project.
Bio: Nordin Ramli (SM’13) received the B.Eng. degree in electrical engineering from Keio University, Japan, in 1999 and the M.Eng. and Ph.D. degrees in electronic engineering from the University of Electro-Communications, Japan, in 2005 and 2008, respectively.,Previously, he was at Telekom Malaysia Berhad as a Network Engineer from 1999 to 2008, and a Lecturer at Multimedia University, Malaysia, from 2008 to 2009. He is currently a Senior Staff Researcher at Wireless Network and Protocol Research, MIMOS Berhad, Malaysia. He is a Solution Architect for the Internet of Things (IoT) and big data’s related project. He has authored or coauthored over 80 journals and conference papers, and filed over 30 patents related to wireless communications which are pending at World Intellectual Property Organization and the Intellectual Property Corporation of Malaysia. His current research and development interests include cognitive radio, TV white space, space-time processing, equalization, adaptive array system and wireless mesh networking, IoT, and big data. He has been appointed as a member of the Young Scientist Network of Malaysia Academy of Science, since 2014. He is also a Registered Professional Engineer with the Board of Engineer, Malaysia.,Dr. Ramli is currently an Associate Editor of Journal IEICE Communication Express (CoMEX). He has been the Chairman of the White Space Working Group, a Technical Standardization Working Group under Malaysia Technical Standard Forum Berhad since 2013, to study and promote the technology of white space communication in Malaysia.(Based on document published on 27 November 2017).
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Title: Signal Processing in Industries
Bio: Mark is the founder of Mobius Group where he is responsible for the vision and strategic direction of the company. He is a thought leader in data science and is passionate about the data science ecosystem. He is a firm believer in talent development and sits on the advisory boards of various universities. He is also a member of advisory panels in various organisations. Before launching Mobius, Mark was the Director of Group Data at Astro. He was responsible for the integration, utilisation and monetisation of data across the Astro Group. He brought together the disciplines of data management, visualisation and advanced analytics to generate value for Astro. Prior to Astro, Mark helmed the graduate and internship programmes in SAS. He also worked in data science and IT for over 15 years with various overseas companies.