1. Introduction to Applications on Vertebrate Vocalisation.
2. Significance of acoustic features in Vertebrate Vocalisations related Applications.
3. Trending technologies in vertebrate vocalisation applications
Murugaiya Ramashini is a lecturer in the Department of Computer Science and Informatics at Uva Wellassa University, Sri Lanka. She received her Bachelor's in Information Technology and Master's in Engineering in Computer and Communication Engineering from Anna University. She has more than seven years of academic experience along with undergraduate research supervision knowledge. She was awarded “The Best Portfolio” in the 6th Certificate Course in Teaching in Higher Education (CTHE), by Uva Wellassa University, and from 2018 to 2021 obtained leave to attend Universiti Brunei Darussalam to pursue a PhD in Systems Engineering as a fully-funded research scholar. Miss Ramashini was selected in 2019 as a representative from Brunei to attend the “Ewha-Luce International Seminar (ELIS) - Expanding Horizons” organized by Ewha Womans University and Henry Luce Foundation as one of 19 outstanding PhD students in STEM from America and Asia. Her research interests are audio signal processing and machine learning.
Mahagammulle Gamage Manisha Milani earned an Honours BEng in Mechatronics Engineering from Edinburgh Napier University. After completion of the BEng degree, she worked as an engineer in the automation, robotics, and telecommunication industries, and was a lecturer in a private higher education institution in Sri Lanka. In 2018 she was awarded a fully-funded scholarship from the Ministry of Foreign Affairs and Trade (MoFAT) of Brunei Darussalam to study full-time for an MEng in Systems Engineering at Universiti Brunei Darussalam. She is interested in multidisciplinary research topics such as biomedical engineering, neuroscience, signal processing, machine learning, applied robotics, and automation. She has onsite research experience at several institutions, including Edinburgh Napier University; Western University, Canada; Sungkyunkwan University, South Korea; Universiti Brunei Darussalam; and University of Moratuwa, Sri Lanka.
Krishani Murugiah graduated from Anna University with Bachelor's and Master's degrees in Biotechnology. She was invited by the Department of Biotechnology, Pavendar Bharathidasan College of Engineering and Technology, to work as an assistant professor in the Department of Biotechnology, and worked as a research assistant at Micro Therapeutics Research Laboratory, India. She is has a keen interest in chemical engineering and is currently doing project work in wastewater treatment using biocoagulants.
Dr. Madhumathy Perumal is a Professor at Dayananda Sagar Academy of Technology and Management. She completed her Bachelor's in engineering from Anna University, a Master's (Gold Medalist) from Arupadi Veedu Institute of Technology, and a PhD from Anna University in 2015. She has more than 14 years of teaching experience. Dr. Perumal’s research areas of interest include computer networks, wireless communication, wireless sensor networks, the Internet of Things, wireless channel modeling, mobile communication, and topics related to networks and wireless communication domains. She has published more than 75 papers in international and national journals and conferences. She is a life member in ISTE and a senior member of the IEEE. She serves as a reviewer for journals published by IEEE, IET, Springer, Inderscience, and Elsevier, has registered and published three Indian patents, and is the author of Wireless Sensor Networks Routing Protocol Overview (Grin Verlag, 2020) and Fundamentals of Wireless Sensor Networks (Lambert Academic Publishing, 2020).
Acoustic-Based Applications for Vertebrate Vocalization is designed to help researchers improve their findings and knowledge of vertebrate vocalization by focusing on the integration of acoustic features with new technologies, such as the Internet of Things (IoT), cloud computing, and virtual and cognitive reality. The book addresses the most common challenges in vertebrate vocalization-based research via suitable audio signal processing techniques, data collection, data pre-processing, acoustic feature engineering, extraction, and selection for multidisciplinary applications, i.e. feature classification, vertebrate communication, behavioral analysis, and signal pattern analysis. The book is an important reference for scholars, researchers, industry practitioners, teachers, and students across a number of disciplines, including bioengineering, audio engineering, systems engineering, biotechnology, signal processing, biology, zoology, and animal sciences.