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Dr. Ahsan Morshed

PhD, MSc and BSc in Computer Science
Lecturer - ICT
School of Engineering and Technology
Melbourne
120 - 6.13
About Me

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

General
Universities Studied At

  • PhD in Computer Science at the University of Trento, Trento, Italy
  • Master of Science (MSc) in Computer Science from the Royal Institute of Technology (KTH),Sweden
  • Bachelor of Science (BSc) in Computer Science and Engineering from Ahsanullah University of Science and Technology, Dhaka, Bangladesh.

Universities Worked At

Research Fellow and Sessional Academic, Swinburne University of Technology, Australia 

Data Scientist and Sessional Academic, RMIT University, Australia

Sessional Academic, University of Trento, Italy. 

Awards

  • Best Paper Award for the paper titled “Modelling Spatial Understanding: Using knowledge representation to enable spatial awareness in a robotics platform’, at the Sixth International Conference on Advanced Cognitive Technologies and Application, Italy
  • Visiting Scholar, Mark Musen Lab, Stanford University, USA (2010)
  • Summer School Scholarship, Free University of Bolzen-Bolazano (2006)
  • Post graduate scholarship from University of Trento (2006-2009)

Professional Memberships

Member of Australian Computer society (ACS)

Member of IEEE

Member of HISA

Computer Software

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.

Recent Research Projects
No research projects to display.
Research Supervision
Accreditation

I am currently accredited for supervision in the following:

  • 4609 Information Systems

At the level of Principal Supervisor


Current Capacity
I am currently available to supervise more research candidates
No Supervisions to display.
Research Interests
Information And Computing Sciences

Artificial Intelligence and Image Processing - Image Processing

Information And Computing Sciences

Artificial Intelligence and Image Processing - Neural, Evolutionary and Fuzzy Computation
Deep Learning

Information And Computing Sciences

Artificial Intelligence and Image Processing - Pattern Recognition and Data Mining

Information And Computing Sciences

Information Systems - Conceptual Modelling

Information And Computing Sciences

Information Systems - Database Management

Information And Computing Sciences

Information Systems - Information Systems Management

Publications
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Teaching
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