Ahsan Morshed

Dr. Ahsan Morshed

PhD, MSc and BSc in Computer Science
Discipline Lead - Information Systems & Analysis and Lecturer - ICT
School of Engineering and Technology

a.morshed@cqu.edu.au

https://orcid.org/0000-0002-7314-0624

(03) 9616 0418

Melbourne
120 - 6.13

About Me

Dr Ahsan Morshed is an ICT lecturer at CQ University in Melbourne, Australia, and a CML-NET Centre member, contributing significantly to the Artificial Intelligence and Image processing field.

His research areas of expertise include Artificial Intelligence, AI Safety, Deep Learning, Explainable AI, Quantum Computing, Machine learning, Image Processing, Big Data Understanding, Social Data Analysis, Knowledge Discovery, Big Data Management and analytics, Highly Heterogeneous Information Integration and Data Exchange, and Data Quality.

Dr. Morshed's academic background is as impressive as his professional journey. He holds a Ph. D. degree from the University of Trento, Italy, an MSc from the Royal Institute of Technology (KTH), Stockholm, Sweden, and a BSc. Degree from Ahsanullah University of Technology, Bangladesh. All in computer science. Dr. Morshed has awarded $638,544K in grants (including internal and external) at CQU.

Dr. Morshed's professional journey is marked by diverse roles and significant contributions. Before joining CQUniversity, he was a Research Fellow at the Swinburne Data Science Research Institute, Swinburne University of Technology. His multi-disciplinary Data Science projects in collaboration with different faculties and industries led to the acquisition of over 700K grants within the last two and half years at Swinburne University of Technology. He also worked as a data scientist at RMIT University and a postdoctoral fellow at Data61, CSIRO, Australia, focusing on sensor data integration and machine learning in the agricultural domain. His role as an Information Management Specialist in the OEKC division at the Food and Agriculture Organisation of the United Nations (FAO of UN), Rome, Italy, further enriched his experience. Dr. Morshed's extensive experience, reflected in his publication of over 50 peer-reviewed a book, three book chapters, journals, conferences, and workshop papers, instils confidence in his abilities. He is an affiliated ACM, IEEE, HISA, and ACS member, has served on 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
Sessional Academic, RMIT University, Australia
Sessional Academic, University of Trento, Italy.
Lecturer at Bangladesh Open University

Awards

Student Voice Award, 2021
Educator of the Year, 2021
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,Italy (2006)
Post graduate merit scholarship from University of Trento, Italy (2006-2009)

Professional Experience

Data Scientist (AI and Data Integration) School of Science at RMIT University (Sep 2015-Sep,2016)
- - Worked on ARC Linkage Project.
  - Development of Cloud Platform for the Big Data Analytics.
  - Supervised junior software engineer.
  - Writing technical documentation.
Data Consultant at Sintelix, Adelaide (June 2015 – August 2015)
- - Analysis of different Language Models and Natural Language Modelling tools. (NLP)
  - Writing a program routine to do document classification.
  - Writing technical documentation.
Senior Information Management Specialist at Food and Agriculture Organization of United Nations, Rome, Italy (August 2009 – April 2012)
- - Lead AGROVOC Linked Data Project and developed a data integration Platform.
  - Worked as Project manager for the VocBench- a vocabulary management tool with MIMOS Malaysia (Internal Partners) and managed five software engineers and two researchers.
  - Design and Development of AGROVOC web services
  - Design and Development of FAO Biotech Glossary Interface.
  - Conduct research and publish scientific articles.
  - Managing AGROVOC (Multi-lingual Agriculture Thesaurus).
  - Lead Terminology development of AGROVOC Vocabulary with IIT Kanpur.
  - Conduct AI research and publish scientific articles.
Research Software Developer (Part-Time) at ECRTL Solutions, Trento, Italy (Sep 2008 –July 2009)
- - Worked on Industry Project
  - Designed and Implemented Meta Search for Visit Finland Project (a national tourism portal for Finland- http://www.visitfinland.com)

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

AI-Powered Pedagogy: Exploring the effectiveness of Generative AI as a learning assistant in the ICT discipline

From: 01/01/2024 to 31/12/2024
Grant: Competitive Grant (Category 3: Industry and Other)
Funding Schemes: ACDICT Learning and Teaching Academy (ALTA) Small Grants Scheme
Total Funding: N/A

NB2: Assessing practical interventions to reduce calf wastage and herd mortality in northern systems (P.PSH.1314)

From: 27/08/2021 to 15/12/2026
Grant: Competitive Grant (Category 1: Aust Competitive Grant)
Funding Schemes: Meat & Livestock Australia Donor Company MLA-DC
Total Funding: N/A

Research Supervision

Accreditation

I am currently accredited for supervision in the following:

3402 Inorganic Chemistry

Current Capacity

I am currently available to supervise more research candidates

Current Supervision

Doctor of Philosophy

Bridging Borders: Overcoming challenges in transferring international health data to Australia's healthcare systems and providing optimised solutions for EMR Integration

Principal Supervisor

Doctor of Philosophy

A modelling approach for evaluating automated walk-over weighing and assessing genetic evaluation strategies of beef cattle

Principal Supervisor

Doctor of Philosophy (Industry)

Enhancements of Deep Learning Models for Image Classification in Cancer Detection

Principal Supervisor

Master of Research

Explainable AI and Big data analytics for security risk and privacy issues in the financial industry.

Principal Supervisor

Doctor of Philosophy

Interpretable Neurons: Unveiling Classification Processes in Deep Learning - A Novel Framework