Research interests
Dr. Kang’s research and scholarly interests are centred around the innovative application of advanced analytics and machine learning to solve complex supply chain and process optimization challenges. His work emphasizes a cross-disciplinary approach, integrating people, processes and technology to drive meaningful improvements in industrial and service operations. Dr. Kang’s expertise lies in leveraging cutting-edge techniques such as big data analytics, artificial intelligence, machine learning, evolutionary algorithms, combinatorial optimization and simulation modeling to enhance decision-making and efficiency within supply chains. He is particularly interested in leveraging emerging technologies, processes and people elements to promote continuous improvement and sustainability. By collaborating with national and international organizations, Dr. Kang has successfully led research projects that have advanced the field of supply chain management, applied analytics and operations research, making a significant impact on both academic literature and industry practices. | Supply chain management and optimization, predictive analytics, applied artificial intelligence and machine learning, text mining, natural language processing, systems thinking, simulation modeling, management science, project management
Biography
Parminder Singh Kang is Associate Professor at MacEwan University. Their stated interests include Dr. Kang’s research and scholarly interests are centred around the innovative application of advanced analytics and machine learning to solve complex supply chain and process optimization challenges. His work emphasizes a cross-disciplinary approach, integrating people, processes and technology to drive meaningful improvements in industrial and service operations. Dr. Kang’s expertise lies in leveraging cutting-edge techniques such as big data analytics, artificial intelligence, machine learning, evolutionary algorithms, combinatorial optimization and simulation modeling to enhance decision-making and efficiency within supply chains. He is particularly interested in leveraging emerging techn. This summary considered all 2 collected sources.