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- Computing and Processing
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Hamad Karki
Also published under:H. Karki
Affiliation
Department of Mechanical and Nuclear Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
Topic
Gas Flaring,Convolutional Neural Network,Deep Learning,Deep Learning Models,Visual Features,Bounding Box,Combustion Efficiency,Combustion Process,Convolutional Layers,Data Visualization,Flaring,Machine Learning,Oil Refinery,Petrochemical Plant,Vision Transformer,Water Vapor,You Only Look Once,3D Reconstruction,Accuracy Of Pose Estimation,Analysis Techniques,Autonomous Unmanned Aerial Vehicles,Batch Of Images,Binding Pose,CNN Model,Carbon Monoxide,CatBoost,Class Labels,Combustion Model,Consecutive Frames,Contrastive Loss,Control Techniques,Cross-entropy,Cross-entropy Loss,Deep Convolutional Neural Network,Deep Learning For Detection,Deep Models,Deep Neural Network,Density Levels,Detection Model,Drinking Water,Dynamic Changes,Environmental Challenges,Extract Visual Features,Feature Encoder,Feature Maps,Feed-forward Network,Field Measurements,Fire Detection,Focal Loss,Fourier Transform Infrared Spectroscopy,
Biography
Hamad Karki received the bachelor’s, master’s, and Ph.D. degrees in engineering from Tokyo University of Technology. In 2008, he joined the Department of Mechanical and Nuclear Engineering, Khalifa University (former the Petroleum Institute), as an Assistant Professor, where he is currently working as an Associate Professor. He assumed his duties in research, teaching, and services. He enjoys teaching his classes as well as mentoring senior design projects every year. He served in many departmental and institutional committees as a member and the Head. He worked as the Director of the Internship Program to send interns to oil and gas-related companies. During his deanship of the college or arts and sciences, he initiated programs to support freshmen to be productive university students and developed the curriculum to enhance the learning process. His research interests include oriented around autonomous field robots, design, and control, which includes vehicles and drones.