Ali Afzalian Mand

Ali Afzalian Mand

Ali Afzalian Mand

  • Lecturer
  • Programme Leader of Master of Data Science
Department of Computing and Information Systems
Google Scholar ORCID ResearchGate
SDGs Focus
Good Health and Well Being

Biography

A passionate researcher with over 15 years of diverse experience in academia (teaching and research), product management, project management, leading training department, and software development. (My journey spans across leading eLearning product initiatives and development, shaping minds as a lecturer at Multimedia University, and serving as a Senior Project Manager and Senior Software Developer in the field of ecommerce.)

Educational and research: background in artificial intelligence, machine learning, and bioinformatics, ongoing PhD in Multimedia University (coupled with expertise in system analysis, design, and software engineering, I am passionate about leveraging technology to tackle complex challenges.
 

Academic & Professional Qualifications

  • MSc. IT (Health Informatics), Multimedia University Malaysia (2014)
  • BSc. IT (Information System Engineering, HONS), Multimedia University Malaysia (2009)

Research Interests

  • Machine Learning Theory
  • AI for Healthcare
  • Human computer interaction
  • Deep Learning and Neural Networks

Teaching Areas

  • Data Analysis
  • Machine Learning Algorithms
  • Mathematics
  • Programming Languages

Notable Publications

  1. Stress Detection using Adaptive Neuro Fuzzy Inference, Journal of Engineering Science and Technology, Dec 18, 2022
  2. Stress detection during job interview using physiological signal, International Journal of Electrical and Computer Engineering (IJECE) · Oct 2, 2022
  3. Classification of tuberculosis with SURF spatial pyramid features, International Conference on Robotics, Automation and Sciences (ICORAS) - IEEE Press · Nov 27, 2017. 
  4. Robust stress classifier using adaptive neuro-fuzzy classifier-linguistic hedges, International Conference on Robotics, Automation and Sciences ICORAS - IEEE Press · Nov 27, 2017.
  5. Genetic-Optimized Classifier Ensemble for Cortisol Salivary Measurement Mapping to Electrocardiogram Features for Stress Evaluation, PRICAI 2012: Trends in Artificial Intelligence · Jan 1, 2012.