Multidisciplinary Engineering
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Academic Department|
Organization
individual record
Research Areas:
Deep learning (Machine learning),
Digital twins (Computer simulation),
Numerical analysis,
Workflow management systems,
Human activity recognition,
Data compression (Computer science),
Pen-based computers,
Artificial intelligence,
Fractional calculus,
Computer science,
Educational technology--Design,
Geographic information systems,
Eye tracking,
Robotics,
Human-computer interaction,
Fuzzy logic-based control,
City planning,
Sliding mode control,
Drawing,
Renewable energy sources,
Virtual reality in education,
Quantitative research,
Information visualization,
Electric power systems,
Autonomous robots,
Computer-assisted instruction,
High performance computing,
Computational science and engineering,
Remote sensing,
Photovoltaic power generation,
Engineering--Education,
Big data--Social aspects,
Educational technology,
Microgrids (Smart power grids),
Big data,
Power electronics,
Lyapunov stability theory,
Science--Data processing,
Visual communication,
Mixed reality,
Machine learning
