Web Access Research Portal

Researcher: Shahriar, S (Dr Sumon Shahriar)

Fields of Research

Pattern recognition
Pollution and contamination
Neural networks
Software engineering
Information systems
Modelling and simulation
Artificial intelligence
Mining engineering
Surface water hydrology

Research Objectives

Other information and communication services
Aquaculture crustaceans (excl. rock lobster and prawns)
Mining and extraction of energy resources
Expanding knowledge in the earth sciences
Application software packages
Assessment and management of benthic marine ecosystems
Expanding knowledge in the environmental sciences
Fisheries - aquaculture
Aquaculture prawns
Assessment and management of terrestrial ecosystems
Information systems, technologies and services

Career Best Publications

Research Publications

A context aware sound classifier applied to prawn feed monitoring and energy disaggregation; Knowledge-Based Systems
A dynamic data-driven decision support for aquaculture farm closure; Procedia Computer Science
A machine learning approach to find association between imaging features and XRF signatures of rocks in underground mines; 14th IEEE SENSORS
Algae growth prediction through identification of influential environmental variables: A machine learning approach; International Journal of Computational Intelligence and Applications
Applying context in appliance load identification; 2013 Ninth International Conference on Natural Computation
Assessment of short term rainfall and stream flows in South Australia; Water
Association between imaging and XRF sensing: A machine learning approach to discover mineralogy in abandoned mine voids; IEEE Sensors Journal
Context sensing and feature discovery for improving classifications; 1st ACM Workshop on Context Sensing and Activity Recognition 2015
Energy disaggregation using ensemble of classifiers; IEEE 2013 Tencon - Spring
Fuzzy clustering-based prediction of marine sensor data; 10th International Conference on Fuzzy Systems and Knowledge Discovery
Multiple resolution river flow time series modelling using machine learning methods; The 2nd Workshop on Machine Learning for Sensory Data Analysis 2014
On detecting and predicting harmful algal blooms in coastal information systems; 2012 Oceans - Yeosu
On retrieving patterns in environmental sensor data; Earth Science Informatics
Predicting shellfish farm closures using time series classification for aquaculture decision support; Computers and Electronics in Agriculture
Spatial-temporal prediction of algal bloom; 2013 Ninth International Conference on Natural Computation (ICNC)
Time-series prediction of shellfish farm closure: a comparison of alternatives; Information Processing in Agriculture
Urban sensing and smart home energy optimisations: a machine learning approach; International Workshop on Internet of Things Towards Applications 2015

Research Projects

Research Candidate Supervision

On Building Context to Fit Data Query to Purpose
Stream data transformation, integration and analytics from sensor networks