Dr Ripon Chakrabortty
Dr Ripon Kumar Chakraborttyis 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 andSupply 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 "(DSARG)". More about him and his research engagement can be found on his . He only acceptspotential PhD students with good programming skills and a prior understanding of optimisation and algorithms. Students with exceptional academic scores(more than80%), good publication records, andproficient programming skills are encouraged to contact him via r.chakrabortty@unsw.edu.au.
My Research Portfolio can be obtained by clicking .
My Research Group can be obtained by clicking .
PhD scholarships ($37,500 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 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:
- Abstract
- Introduction (highlighting Research Motivation, Research Trends, Challenges, and benefits)
- Research problems,
- Research Objectives and Questions
- A Brief Review of the most relevant Literature,
- Proposed Methodology
- Expected Outcome
- Significance of Expected Outcome
- Proposed Timeline to accomplish research project.
For more information, please refer to the following links on and to apply for a research degree. NB: Please feel free to seek my advice/help while constructing your Research Proposal.
Research Interests
- Artificial Intelligence and Explainable Artificial Intelligencein Decision-Making for Complex Supply Chain and Logistics Systems
- Optimisation for Operations Management Problems(focus: Sustainable SmartScheduling, Project Scheduling, Logistics & Supply Chain Management)
Education
- PhD in Computer Science, University of New South Wales (UNSW), Canberra, Australia. The year 2017. Thesis: Managing Uncertainties and Disruptions in Resource-Constrained Project Scheduling.
- M.Sc. in Industrial and Production Engineering, Bangladesh University of Engineering and Technology (BUET), Bangladesh. The year 2013. Thesis: A Decision Support System for Aggregate Production Planning.
- B.Sc. in Industrial and Production Engineering, Bangladesh University of Engineering and Technology (BUET), Bangladesh. The year 2009. Thesis: Selection of Potential Suppliers Through Multi-Criteria Decision Making (MCDM) Techniques.
- Diploma of Logistics from Monarch Institute, Melbourne, Australia. The year 2018. Nationally accredited by the Australian Government under the Australian Skills Quality Authority (ASQA). Certified by the Chartered Institute of Logistics and Transport Australia (CILTA).
- Certificate in ERP (SAP Supply Chain Management), provided by the Sydney Institute of ERP (SiERP). The year 2018
Teaching
- Decision Making in Analytics
- System Engineering & Management (or, Managing the Development of Engineered Systems)
- Evidence-Based Decision Making
- Project Schedule& Budget Control
- Decision Making Analytics
- Capability Option Analysis
- System Analysis & Modelling
- Software Project Management
- Engineering Management
- Probability and Statistics
- Operations Research
- Production Management
- Quality Control and Management
- Facility Management and Material Handling
- Project Management
- Maintenance and Reliability Management
- Supply Chain Management
- Operations Research
Professional Education Short Courses
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- Capability Options Analysis
My detailed 'myEducation Portfolio' can be obtained by clicking
Professional Membership & Affiliations
- Senior Member (IEEE)
- Member, Australian Society for Operations Research (ASOR)
- Member, Institute of Industrial & Systems Engineering (IISE)
- Member, Association of InformationSystems (AIS)
- Member, Australian Institute of Project Management (AIPM)
- Member, IFCYBER
- Member, UNSW AI Institute
Future PhD Projects:
https://www.unsw.adfa.edu.au/seit/our-projects/combining-optimization-and-multi-criteria-decision-analysis-multi-method-framework-application-asset-planning
https://www.unsw.adfa.edu.au/seit/our-projects/mitigating-uncertainties-dynamic-logistic-supply-chain-models-optimization-approach
https://www.unsw.adfa.edu.au/seit/our-projects/developing-user-friendly-interface-predict-project-success-and-control-budget-considering-real-life-risks
https://www.unsw.adfa.edu.au/seit/our-projects/solving-resource-portfolio-problem-mitigating-uncertainties-and-preparing-unexpected
https://www.unsw.adfa.edu.au/seit/our-projects/internet-things-iot-enabled-practical-multi-project-scheduling-problems
https://www.unsw.adfa.edu.au/seit/our-projects/big-data-and-cyber-physical-system-enabled-sustainable-project-scheduling-problems
https://www.unsw.adfa.edu.au/seit/our-projects/synchronization-production-scheduling-and-delivery-multi-factory-supply-chain
https://www.unsw.adfa.edu.au/seit/our-projects/machine-learning-technique-based-proactive-scheduling-and-real-time-reactive-scheduling-sudden-interruptions-managing-projects
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
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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).
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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.
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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.
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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.
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Co-CI, RG204502, “Name: confidential”, Department of Defence / Commonwealth Government Contract, 2020-2021, $292,273. -
Co-CI, RG203864, “Name: confidential”, Department of Defence / Commonwealth Government Contract, 2020, $300,000. -
Co-CI, RG192081, “Name: confidential”, Department of Defence / Commonwealth Government Contract, 2019-2020, $541,425. -
Co-CI, RG193169, “Name: confidential”, Department of Defence / Commonwealth Government Contract, 2019-2020, $245,125. -
Co-CI, RG202374, “Name: confidential”, Department of Defence / Commonwealth Government Contract, 2020-2021, $330,600. -
Co-CI, RG194087, “Name: confidential”, Department of Defence / Commonwealth Government Contract, 2019-2020, $453,750. -
CO-CI, RG201160, “Asset Maintenance Modelling”, Department of Defence / Commonwealth Government Contract, 2020, $353,705. -
Lead CI, “Pilot Optimisation models for security systems”, Capability Systems Centre, UNSW Canberra, 2019-2020, $37,000 -
Sole CI, Academic Start-up Funding, "Solving Resource Portfolio Problem: Mitigating Uncertainties and Preparing for the Unexpected", School of Engineering & Information Technology, UNSW Canberra, 2019-2020, $50,000. -
Sole CI, 2022-23, Decision Support & Analytics Self Forming Research Group Bid, School of Engineering and IT, UNSW Canberra, $22,151
- As a first author, one of my journal papers was awarded a ‘highly cited paper’ (i.e., enough citations to place in the top 3% of the academic field and publication year).
- T paper award for one of my publications within the window of 2018-19.
- Best Paper Award, IEEE International Conference on Industrial Engineering & Engineering Management (IEEEM), 2018
- Champion, Competition on solving real-world constrained optimisation problems in 2020IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom.
- Gold Medal by Bangladesh University of Science and Technology (BUET), 2013 (For Highest CGPA in Faculty of Mechanical Engineering, Session 2012-2013)
- Awarded University Merit Scholarship in five semesters during undergraduate studies at BUET
- Awarded Dean’s Scholarship for four years during undergraduate studies at BUET
- Technical Award for engineering education in Bangladesh
Please look at the "Decision Support & Analytics Research Group" to find out more about my research activities, current projects and future projects for potential PhD students.
Link:https://www.unsw.adfa.edu.au/dsar-group
To understand more about Dr Chakrabortty's engagement, please look at the "Decision Support and Analytics Research Group" .
Professional Services
- Invited speaker, the , Department of Mechatronics Engineering, Rajshahi University of Engineering & Technology (RUET), 8-9thJuly 2021.
- Invited speaker at a . Medical Intelligence Society is a USA based company that offers a venue for clinicians interested in data science and artificial intelligence. The MIS summit supported my registration and attendance.
- Invited keynote speaker, .
- Chairing multiple technical sessions during the Isince 2018.
- P for IEEE International Conference on Industrial Engineering & Engineering Management (IEEM) since 2018.
- Guest Editor of a in a first quartile journal ()
- I have been working as a reviewer for many well-reputed and prestigious journals related to my discipline.
- Editorial Board Member(Computational and Applied Mathematics Section) in : An Open-access Journal
- Editorial Board Member in
- Chief Guest Editorfor aSpecial Section in (IF: 10.215,2ndon Industrial Engineering as per the Web of Science).
- Co-Editorfor a Book on “Artificial Intelligence for Smart City Development: Management Systems & Technology Challenges”. This book will be published via the CRC Press (Taylor & Francis Group).
- Associate Editorfor the “”, the flagship conference of the IEEE Systems, Man and Cybernetics Society.
- Hosted a seminaron “” in the Australian Society for Operations Research (ASOR) Seminar Series.
- Associate Editor & Track SessionChair for the Version.
- Co-Organiser, special session on partitioning and clustering for evolutionary computation,
- Editorial Board Member in the journal ‘.
- Guest Editor, special issue on “
Organisational Contribution
- I have been the Program Coordinator of the Master of Decision Analytics (MDA) program at UNSW Canberra since February 2020. I have also been working as the Program Coordinator of the Master of Engineering Science (M.Eng.Sci.) at UNSW Canberra since June 2019.
- Worked as a Program Coordinator for the Master of Project Management between Jan 2023 to Jan 2024.
My Research Supervision
1. Mahdi Ansari (M.Res. in Civil Engineering) >> Integrated Solid Waste Management: Application of EAs (Completed & Awarded July 2022)
2. Dr Md Asadujjaman (PhD in Systems Engineering) >> IntegratedProject Scheduling with Supply Chain Considerations (Completed & Awarded in March 2023)
3. Dr ShahedMahmud (PhD in Systems Engineering) >> Sustainable Supply Chain and Production Planning (Completed & Awarded in March 2023)
4. Dr Tarun Kumar Biswas (PhD in Systems Engineering) >> Integrating Optimisation in Influence Maximisation tools (Completed & Awarded in August 2023. Got the Dean's Award for the outstanding thesis)
5. Dr Aaliya Sarfaraz (PhD in Computer Science) >> Deploying Blockchain Technology in the Sustainable Supply Chain(Completed & Awarded in May 2023)
6. Dr Supriyo Ahmed (PhD in Computer Science) >> Predicting Project Performance by Using Machine Learning Approaches(Completed & Awarded in October 2023)
7. Dr Md Sanowar Hossain (PhDin Systems Engineering) >> Production Planning under Dynamic Uncertainties(Completed & Awarded in October 2023)
8. Sonia Farhana Nimmy (PhD in Business) >>An Automated eXplainable Artificial Intelligence Framework for Operational Risk Management (AXAI-ORM) (Completed & Awarded in April 2024)
9. Dyuti Paul (M.Res. in Computer Science) >> Predicting Power Consumptions by Electric Vehicles: AI-focused (Completed & Awarded in May 2024)
10. Abu Hashan Md Mashud (PhD in Computer Science) >> Sustainable Supply Chain Design in Multi-echelon Framework(Expected completion: December 2024)
11. Farhad Habibi (PhD in Computer Science) >> AI and Optimisations in Managing Supply Chain Resiliency (Expected completion: February 2025).
12. 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)
13. Md Kamruzzaman (PhD in Business) >> Artificial Intelligence Assisted Recommeeder System for Credit Assessability (Expected Completion: July 2025)
14. Tanzila Azad Shashi (PhD in Computer Science) >> Artificial Intelligence-assisted decision-making in Production and Delivery Scheduling problem (Expected completion: July 2025)
15. Md Mahamudul Hasan (PhD in Computer Science) >> Intelligent, Secure and Scalable Digital Supply Chain Framework (Expected completion: July 2025)
16. Bodrunnessa Badhon (PhD in Computer Science) >> Explainable Artificial Intelligence in Project Risk Management (Expected completion: December 2025)
17. Mr Sayem Ahmed (PhD in Computer Science) >> Energy-aware Supply Chain Integrated Production Scheduling(Expected completion: December 2025)
18. Ms Yifan Xin (PhD in Computer Science) >> Carbon Gaming Policy for Optimised Global Supply Chain (Expected completion: February 2027)
19. Mrs Cholthicha Chaisuwan (Professional Doctorate in Project Management) >> Lesson Learned and Implication of Artificial Intelligence in Project Management Office (Expected Completion: December 2028)
20. Mr Sujan Miah (M.Res. in Business) >> Machine Learning Models for Supply Chain Prediction (Expected Completion: Term 1, 2028)
21. Mr Hasin Md Muhtasim Taqi (PhD in Computer Science) >> Machine Learning Models for Carbon Efficient Supply Chain Infrastructure(Expected Completion: Term 1, 2028)
22. Mrs Zahra Jiryaei Sharahi (PhD in Business) >> Explainable AI for Supply Chain Risk Management (Expected Completion: Term 1, 2028)
My Teaching
UG Courses:
- ZEIT3506 (System Engineering & Management), Sem-2 [2019-2020]
- ZEIT3506 (Managing the Development of Engineered Systems), Sem-2 [2021+]
- System Analysis & Modelling (UC, Canberra)
PG Courses
- ZEIT8305 (Systems Thinking & Modelling), Sem-1
- ZEIT8310 (Project Schedule & Budget Control), Sem-1
- ZEIT8402 (Evidence-Based Decision Making), Sem-1
- ZEIT8403 (Capability Options Analysis), Sem - 2
- ZEIT8404 (Decision Making Analytics), Sem- 1/2
PG Courses (UNSW Online)
- ZZCA6510 (Decision Making in Analytics), Hexamester 1 and 4
Professional Education Short Courses
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