Dr. Ahsan Morshed is a dedicated ICT lecturer at CQ University in Melbourne, Australia, and an active member of the CML-NET Centre and Centre for Hydrogen and Renewable Energy,  where he makes substantial contributions to the ever-evolving fields of Artificial Intelligence and Image Processing. His work emphasizes these domains' practical and theoretical aspects, aiming to bridge the gap between innovation and application.

His research expertise spans a wide range of critical areas, including but not limited to 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. This diverse skill set allows him to tackle complex challenges in technology and data-driven decision-making processes.

Dr. Morshed boasts an impressive academic pedigree. He earned his Ph.D. degree from the University of Trento in Italy, where he focused his dissertation on advanced AI methodologies. He also holds a Master of Science degree from the prestigious Royal Institute of Technology (KTH) in Stockholm, Sweden, and a Bachelor of Science degree from Ahsanullah University of Technology in Bangladesh, all of which are centered around Computer Science. His proficiency in this field is further underscored by his successful acquisition of $638,544 in grants, both internal and external, during his tenure at CQUniversity.

His professional journey is characterized by a rich tapestry of roles and significant contributions to academia and industry. Prior to his current position at CQ University, Dr. Morshed served as a Research Fellow at the Swinburne Data Science Research Institute at Swinburne University of Technology, where he led multidisciplinary Data Science projects. These projects involved collaboration with diverse faculties and industries, culminating in successfully securing over $700,000 in grants within just two and a half years. His earlier roles included serving as a data scientist at RMIT University and holding a postdoctoral fellowship at Data61, CSIRO, Australia, where he specialized in sensor data integration and machine learning applications in the agricultural sector. Furthermore, his tenure as an Information Management Specialist in the OEKC division at the Food and Agriculture Organisation (FAO) of the United Nations in Rome, Italy, provided him with invaluable insights into global data management practices and international collaboration.

Dr. Morshed's academic contributions are significant, with over 50 peer-reviewed papers, including a comprehensive book and three influential book chapters. His work has been featured in leading journals, conferences, and workshops, showcasing the depth of his expertise and his commitment to advancing knowledge in his field. He is actively engaged with several professional organizations, such as ACM, IEEE, HISA, and ACS, and has played a vital role on program committees for numerous national and international conferences. Additionally, he has contributed his expertise as a reviewer for various international journals, further solidifying his reputation as a knowledgeable and respected member of the academic community.