Rate My Professor Dharmendra Sharma

Sharma's research background is in artificial intelligence areas including planning, data analytics, knowledge discovery, predictive modeling, constraint processing, fuzzy reasoning, brain-computer interaction, hybrid systems, machine learning, deep learning, and pattern recognition, with applications to health, education, security, digital forensics, and sports. He has published over 320 research papers, supervised over 40 higher degree research students to completion, and received several competitive research awards and grants. Key publications include "Intrusion detection in smart cities using Restricted Boltzmann Machines" (Elsaeidy et al., 2019), "Handbook of deep learning applications" (Balas et al., 2019), "Senior health monitoring using Kinect" (Parajuli et al., 2012), "A proposed feature extraction method for EEG-based person identification" (Nguyen et al., 2012), and "PLLM-CS: Pre-trained Large Language Model (LLM) for cyber threat detection in satellite networks" (Hassanin et al., 2025). His contributions to higher education and computer science were recognized with the Order of Australia (AM) in 2019. Sharma is a Fellow of the Australian Computer Society (FACS), Fellow of the South Pacific Computer Society (FSPCS), Senior Member of IEEE (SMIEEE), Companion of the Institution of Engineers Australia (CompIEAust), and Graduate of the Australian Institute of Company Directors (GAICD). He has served on industry boards, government advisory and policy committees, and delivered invited talks including "Digital Disruption - the new normal: Leveraging Technology for productivity, growth and sustainability" in 2020.