Ripon Kumar Chakrabortty

Dr Ripon Kumar Chakrabortty is "A Decision Scientist who applies Artificial Intelligence and Optimisation Models in Decision-Making for Complex Systems". His research interests span a broad spectrum of topics, including decision analytics, applied artificial intelligence, evolutionary computation, operations research, and applied optimisation, with a focus on the "Global Supply Chain and Logistics, along with Medical Informatics" domains. As an industrial engineer with a strong focus on data-driven decision-making, machine learning, deep learning models, and optimization tools, his academic contributions profoundly impact various industries, optimizing manufacturing processes, supply chains, healthcare logistics, and service networks. By integrating advanced AI-based technologies, he enables Australian businesses to stay competitive, reduce costs, and improve productivity, ultimately contributing to the country's economic growth and sustainability. He is a well-known educator in the Decision Analytics and Systems Engineering discipline, where he has been teaching multiple courses with distinction. He is currently the Director of the Master of Decision Analytics program at UNSW Canberra. He is an Editorial Board Member of multiple well-recognised journals, and currently the lead of the Artificial Intelligence Community of Practice (CoP) in the Australian Institute of Project Management (AIPM). Throughout his career, he has secured more than 10 million Category 1 (plus 11 million + Cat 2/3) research grants from numerous organisations, such as the Australian Research Council (ARC), the Department of Defence, the Department of Foreign Affairs & Trade (DFAT), the Department of Education (Australia), Defence Trailblazer, Trailblazer for Recycling and Clean Energy (TRaCE), and the Commonwealth Government of Australia. He is the founder and leader of the "Decision Support and Analytics Research Group (DSARG)". He is also the Inaugural Director of Resilient Intelligent Systems for Clean Energy Research (RISER) Hub. More about him and his research engagement can be found on his research group page. He only accepts potential PhD students with good programming skills and a prior understanding of optimisation and algorithms. Students with exceptional academic scores (more than 80%), good publication records, and proficient programming skills are encouraged to contact him via r.chakrabortty@unsw.edu.au. Artificial Intelligence in Decision-Making for Complex Systems (focus: Supply Chain and Project Scheduling), Planning and decision making, Artificial intelligence, Operations research, Evolutionary computation, Optimisation, Transportation, logistics and supply chains, Project management, decision analytics, applied artificial intelligence, evolutionary computation, operations research, and applied optimisation, with a focus on the "Global Supply Chain and Logistics, along with Medical Informatics" domains, Artificial Intelligence and Explainable Artificial Intelligence in Decision-Making for Complex Supply Chain and Logistics Systems, Predictive-Prescriptive Analytics for Operations Management Problems (focus: Sustainable Smart Scheduling, Project Scheduling, Logistics & Supply Chain Management), Healthcare/Medical Analytics (AI/XAI-powered Decision Support Systems for Healthcare Problems), Data Centre and Robotics/Automation in Practice (focus: Engineering and/or Business Problems), Closed-loop Supply Chain/Circular Economy (focus: Retired Electric Batteries), Semiconductors' Supply Chain/Critical Mineral Supply Chain/Agri-Food Supply Chain