Dr Ripon Kumar Chakrabortty is experienced in “Artificial Intelligence in Decision-Making for Complex Systems (focus: Supply Chain and Project Management)”. His research interest covers a wide range of topics in decision analytics, applied artificial intelligence, evolutionary computation, operations research, and applied optimisation in the "Project Scheduling and Supply Chain Management" 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 the Australian economy and society. Through his research and expertise, he drives innovation and efficiency across various industries, optimizing manufacturing processes, supply chains, healthcare logistics, and service networks. By integrating advanced technologies, he enables Australian businesses to stay competitive, reduce costs, and improve productivity, ultimately contributing to the country's economic growth and sustainability. Moreover, his work in enhancing quality control and resource management positively impacts Australian society by ensuring the delivery of high-quality products and services to consumers while promoting a safer, more sustainable work environment for employees. As an industrial engineer, his academic pursuits are pivotal in shaping Australia's technologically advanced, resilient, and prosperous future.
He is the founder and leader of The "Decision Support and Analytics Research Group (DSARG)". 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 email@example.com.
PhD scholarships ($35,000 per year) are available for high-achieving students (with H1/High Distinction in UG and/or Masters by Research) in engineering, mathematics or relevant sciences under my supervision.
Future PhD & Master by Research Students
Students with good programming skills and prior knowledge of optimisation and algorithms are encouraged to apply. Students with excellent programming and communication skills will be highly appreciated. Several types of scholarships are available; however, admission and scholarship applications are highly competitive. A self-assessment tool is available to get a general feel for your competitiveness. You need to meet the English language requirements. If you are eligible and interested in working on the following (or closely related) topics or keywords, please send me your CV, academic transcripts, the result of the self-assessment, and a research proposal. Your research proposal should highlight the following:
Professional Membership & Affiliations
Future PhD Projects:
ARC Linkage Project 2023-Round 1, "An explainability oriented approach to manage dependent supply chain risks", as a Co-CI with Omar Hussain, Ferry Jie, Daniel Prajogo, and Mr Jean-Claude Abouchar, 2024-2026, $500,000 (including industry partner's contribution).
Lead CI, "Enhancing Solar Panel Reliability: Data-Driven Maintenance, Smart Strategies, and User Acceptance", with Huadong Mo, Harish Garg, and Mohd Adil., UNSW Global Research and Innovation Partnerships (GRIP), 2024, $20,000.
Co-CI, "Achieving Maritime Decarbonization through Systems Dynamics and Simulation Modelling", with Pankaj Sharma, Jun Luo, Li Haobin, Daniel Prior, and Omar Hussain, UNSW Global Research and Innovation Partnerships (GRIP), 2024, $20,000.
Co-CI, "Building Resilience to Power and Energy Systems Under Cyber-Related Disasters", with Huadong Mo, Emiliya Suprun, Nan Sun, and Frank den Hartog., Rapid Research Funding, SysCom, UNSW Canberra, 2023, $19,173.
My Research Supervision
1. Md Asadujjaman (PhD in Systems Engineering) >> Integrated Project Scheduling with Supply Chain Considerations (Completed & Awarded, March 2023)
2. Shahed Mahmud (PhD in Systems Engineering) >> Sustainable Supply Chain and Production Planning (Completed & Awarded, March 2023)
3. Tarun Kumar Biswas (PhD in Systems Engineering) >> Integrating Optimisation in Influence Maximisation tools (Expected completion: December 2022)
4. Aaliya Sarfaraz (PhD in Computer Science) >> Deploying Blockchain Technology in the Sustainable Supply Chain (Completed & Awarded, May 2023)
5. Supriyo Ahmed (PhD in Computer Science) >> Predicting Project Performance by Using Machine Learning Approaches (Expected completion: March 2023)
6. Md Sanowar Hossain (PhD in Systems Engineering) >> Production Planning under Dynamic Uncertainties (Expected completion: March 2023)
7. Abu Hashan Md Mashud (PhD in Computer Science) >> Sustainable Supply Chain Design in Multi-echelon Framework (Expected completion: December 2024)
8. Sonia Farhana Nimmy (PhD in Business) >> An Automated eXplainable Artificial Intelligence Framework for Operational Risk Management (AXAI-ORM) (Expected completion: February 2024)
9. Farhad Habibi (PhD in Computer Science) >> AI and Optimisations in Managing Supply Chain Resiliency (Expected completion: February 2025)
10. Mahdi Ansari (M.Res. in Civil Engineering) >> Integrated Solid Waste Management: Application of EAs (Completed July 2022)
11. Amir Hossein Ordibazar (PhD in Business) >> Proposing recommender systems and risk mitigation strategies for Supply Chain Management by using Counterfactual Explanation algorithms (Expected completion: February 2025)
12. Tanzila Azad Shashi (PhD in Computer Science) >> Artificial Intelligence-assisted decision-making in Production and Delivery Scheduling problem (Expected completion: July 2025)
13. Md Mahamudul Hasan (PhD in Computer Science) >> Intelligent, Secure and Scalable Digital Supply Chain Framework (Expected completion: July 2025)
14. Dyuti Paul (M.Res. in Computer Science) >> Predicting Power Consumptions by Electric Vehicles: AI-focused (Expected completion: February 2024)
15. Bodrunnessa Badhon (PhD in Computer Science) >> Explainable Artificial Intelligence in Project Risk Management (Expected completion: December 2025)
16. Mr Sayem Ahmed (PhD in Computer Science) >> Energy-aware Supply Chain Integrated Production Scheduling (Expected completion: December 2025)