Dr. Ahsan Morshed is a Lecturer of Computer Science at CQUniversity, Australia. He is a member of Data Science group.
His research area of expertise includes Machine Learning, Image processing, Big Data Understanding, Social Data Analysis, Knowledge Discovery, Big Data Management & Analytics, Highly Heterogeneous Information Integration & Data Exchange, Visual Analytics and Data Quality.
He holds a PhD degree from the University of Trento, Italy, and a MSc. Degree from Royal Institute of Technology (KTH), Stockholm, Sweden, and BSc. degree from Ahsanullah University of Technology, Bangladesh, all in Computer Science.
Before joining CQUniversity, he worked as a Research Fellow at Swinburne Data Science Research Institute, Swinburne University of Technology. He was involved multi-disciplinary Data Science projects in collaboration with different faculties and industries, that helped to acquire over 700K grants within the last two and half years at Swinburne University of Technology as his research income. Besides, he worked as Data Scientist at RMIT University, and he worked as a Postdoctoral fellow at Data61, CSIRO, Australia and he worked on sensor data integration and machine learning area at CSIRO in Agriculture domain. Furthermore, he was also an information management Specialist in the OEKC division at the Food and Agriculture Organization of the United Nations (FAO of UN), Rome, Italy. Dr Morshed has published over 50 peer-reviewed a book, two book chapters, journals, conference, and workshop papers. He is an affiliated ACM, HISA and ACS member. He has served in program committees of many national and international conferences and has been a reviewer for numerous international journals
Research Fellow and Sessional Academic, Swinburne University of Technology, Australia
Data Scientist and Sessional Academic, RMIT University, Australia
Sessional Academic, University of Trento, Italy.
Member of Australian Computer society (ACS)
Member of IEEE
Member of HISA
Databases: MySQL, Microsoft SQL Server, Oracle, SQLite, and Mogo DB (No SQL database),
Programming: Java, Python, and R
Data Analytics tool: Matlab, BigML, Tableau, Power BI, Weka, spaCy(NLP) and KEA
Programming Environments: JDeveloper, Eclipse, Visual Studio. Net, Net beans and Anaconda
Cloud Platforms: Amazon AWS, and Microsoft Azure
Big Data Technologies: Apache Storm, Hadoop, Mahout (working knowledge), Amazon Web Services platform (AWS, Simple DB, Amazon S3) (hands-on experience), and HBase.
Semantic and Graph Technologies: SPARQL, Ontologies, and Virtuoso.
Build/Support Tools: Ant, Maven, SVN, and GitHub.
I am currently accredited for supervision in the following:
At the level of Principal Supervisor
Artificial Intelligence and Image Processing - Image Processing
Artificial Intelligence and Image Processing - Neural, Evolutionary and Fuzzy Computation
Artificial Intelligence and Image Processing - Pattern Recognition and Data Mining
Information Systems - Conceptual Modelling
Information Systems - Database Management
Information Systems - Information Systems Management