Currently Involved in research at Charles Sturt University.

Position: Research Fellow
Department: Computing, Mathematics and Engineering
Location: Charles Sturt University, Wagga Wagga, NSW

Biography:

Kamal, currently serving as a Research Fellow at Charles Sturt University in Wagga Wagga, NSW, is a seasoned professional in the field of data analytics. With an enriching career that began in 2013, Kamal has dedicated almost a decade to advancing research in this domain. His journey in academia, however, began much earlier, with his role as an educator dating back to 2009 in the Department of Computer Science and Engineering.

Kamal's passion for teaching has seen him engage with students at various levels. Since 2018, he has been a notable presence at the School of Computer Science at the University of Technology Sydney (UTS), where he holds the position of Casual Academic. Here, Kamal imparts his knowledge and expertise to both undergraduate and postgraduate students, guiding the next generation of computer science professionals.

Throughout his career, Kamal has authored numerous high-quality research articles, particularly in the realm of medical data analytics. His work is characterized by an innovative approach to data and its implications in the medical field.

Throughout his career, Kamal has contributed significantly to the academic community, authoring numerous high-quality research articles focused on the intersection of medicine and data analytics. His work is known for its innovative approach and insightful findings, contributing substantially to the field.

Research Interests:

Kamal's core research interests lie in the realms of Explainable AI, Statistical Data Mining, and Anomaly Analysis. His work in Explainable AI is particularly notable for making complex AI models more transparent and understandable, a crucial aspect in the context of medical data where interpretability is as important as accuracy. In Statistical Data Mining, Kamal focuses on extracting meaningful patterns from vast datasets, a skill crucial for uncovering hidden insights in medical data. His expertise in Anomaly Analysis has been instrumental in identifying and understanding outliers in data, which often lead to significant breakthroughs in medical research.

Teaching Experience:

With a teaching career that began in 2009, Kamal has been instrumental in shaping the minds of students in computer science. His tenure at UTS since 2018 as a Casual Academic reflects his commitment to educating both undergraduate and postgraduate students, providing them with the necessary skills and knowledge to excel in the field of computer science.

Publications and Contributions:

Kamal's contributions, through his publications and research activities, have not only enriched the academic literature but have also had practical implications in the field of medical data analytics. His work continues to inspire and guide new research in this ever-evolving domain.

Explainable AI

Medical Informatics

Digital Health

Statistical Data Mining