Dr. Mohammad Mobasher Kashani
Lecturer
Teaching Areas 
  • Business Information Systems
  • User Experience
  • Programming Languages Fundamentals
  • Object Oriented Programming
  • Web Development
  • Business Analysis
  • Data Analysis
  • Data Science
  • Cloud Systems
  • School/Department: IT
    Qualifications: 
  • PhD in Computer Science
  • Master in Information Technology in Artificial Intelligence
  • Research Areas The application of Machine Learning and Deep Learning methods in mining and energy sectors to gain business advatages for Australian industries.
    Brief Bio
    I am Mohammad Kashani, a Cloud and AI Engineer with a Ph.D. in Computer Science from the University of Newcastle, specializing in data science and deep learning. I have taught IT courses as a demonstrator at the University of Newcastle, where I also conducted my Ph.D. research. My professional background includes roles as a Developer and Demand Analyst in various industries, where I leverage Python, Java, SQL, AWS, and Azure to develop automation apps and optimize operations. My problem-solving approach and attention to detail help uncover trends in data, producing actionable insights. With strong communication skills, I can explain complex concepts to diverse audiences, ensuring effective collaboration. Passionate about making technology accessible and inclusive, I lead teams to create impactful solutions. Outside of work, I enjoy salsa dancing, reflecting my love for learning and connection.
    Publications
  • Multi-objective PSO algorithm for mining numerical association rules without a priori discretization
  • Light-weight recurrent deep learning algorithm for non-intrusive load monitoring
  • Parallel lstm architectures for non-intrusive load monitoring in smart homes