Researcher

My Expertise

Data-Driven Artificial Intelligence for Supply Chain Embedded Project Scheduling Problems

 

Fields of Research (FoR)

Planning and decision making, Artificial intelligence, Operations research, Evolutionary computation, Optimisation, Transportation, logistics and supply chains, Project management

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Biography

Dr Ripon Kumar Chakrabortty is experienced in Data-Driven Artificial Intelligence for Supply Chain Embedded Project Scheduling Problems. His research interest covers a wide range of topics in decision analytics, evolutionary computation, operations research, and applied optimisation in the "Project Management and Supply Chain Management" domain. He is the founder and leader of The "Decision Support and Analytics Research Group". More...view more

Dr Ripon Kumar Chakrabortty is experienced in Data-Driven Artificial Intelligence for Supply Chain Embedded Project Scheduling Problems. His research interest covers a wide range of topics in decision analytics, evolutionary computation, operations research, and applied optimisation in the "Project Management and Supply Chain Management" domain. He is the founder and leader of The "Decision Support and Analytics Research Group". 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%) and good publication records with proficient programming skills are encouraged to contact via r.chakrabortty@adfa.edu.au

 

My Research Portfolio can be obtained by clicking here

My Research Group can be obtained by clicking here

 

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 [Please note that I am not taking any PhD and Master by Research Students for the 2023-2024 rounds. My next intake would be Term 1-2025]

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:

  • Abstract
  • Introduction (highlighting Research Motivation, Research Trends, Challenges, and benefits)
  • Research problems,
  • Research Objectives and Questions
  • 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 how and when to apply for a research degree. NB: Please feel free to seek my advice/help while constructing your Research Proposal.

 

Research Interests

  • Machine Learning with Optimization Algorithms and Applications
  • Operations Research and Operations Management Techniques (focus: Sustainable Smart Scheduling, 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
  • 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

 

My details 'myEducation Portfolio' can be obtained by clicking here. 

 

Professional Membership & Affiliations

  • Senior Member (IEEE)
  • Australian Society for Operations Research (ASOR)
  • Institute of Industrial & Systems Engineering (IISE)

 

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

 

 


My Grants

  1. Co-CI, RG204502, “Capability Integration Model Extension- JP9141-2 Analysis in Support of The Approach to Government Combined Pass”, Department of Defence / Commonwealth Government Contract, 2020-2021, $292,273.
  2. Co-CI, RG203864, “SEA1905-1 Artefacts Validation and Requirements Development”, Department of Defence / Commonwealth Government Contract, 2020, $300,000.
  3. Co-CI, RG192081, “Development of Joint Requirements Framework and Acquisition Roadmap”, Department of Defence / Commonwealth Government Contract, 2019-2020, $541,425.
  4. Co-CI, RG193169, “LTSS Operational Concept Development”, Department of Defence / Commonwealth Government Contract, 2019-2020, $245,125.
  5. Co-CI, RG202374, “Navy Guided Weapons (NGW) Planning Tool Update”, Department of Defence / Commonwealth Government Contract, 2020-2021, $330,600.
  6. Co-CI, RG194087, “SEA1905 with multi-criteria decision-making modelling in support of Gate 1 submission”, Department of Defence / Commonwealth Government Contract, 2019-2020, $453,750.
  7. CO-CI, RG201160, “Asset Maintenance Modelling”, Department of Defence / Commonwealth Government Contract, 2020, $353,705.
  8. Lead CI, “Pilot Optimisation models for security systems”, Capability Systems Centre, UNSW Canberra, 2019-2020, $37,000
  9. 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.

 


My Awards

  • One of my journal papers as a first author was awarded a ‘highly cited paper’ (i.e., enough citations to place in the top 3% of the academic field and publication year).
  • Top downloaded/most read paper award within the window of 2018-19 for one of my publications.
  • Best Paper Award, IEEE International Conference on Industrial Engineering & Engineering Management (IEEEM), 2018
  • Champion, Competition on solving real-world constrained optimisation problems in 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom.

My Research Activities

Please look at the "Decision Support & Analytics Research Group" webpage 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


My Research Supervision


Supervision keywords


Areas of supervision

Operations Research

Supply Chain Management

Project Scheduling and Solving Dynamic Problems

Network Influence Maximisation


Currently supervising

1. Md Asadujjaman (PhD in Systems Engineering) >> Integrated Project Scheduling with Supply Chain Considerations (Expected completion: September 2022)

2. Shahed Mahmud (PhD in Systems Engineering) >> Sustainable Supply Chain and Production Planning (Expected completion: September 2022)

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 (Expected completion: December 2022)

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) 

 

 


My Engagement

To understand more about Dr Chakrabortty's engagement, please look at the "Decision Support and Analytics Research Group" webpage

 

 

Professional Services

 

Organisational Contribution

  • I have been the Program Coordinator of the Master of Decision Analytics (MDA) program at UNSW Canberra since February 2020. I am also working as the Program Coordinator of the Master of Engineering Science (M.Eng.Sci.) at UNSW Canberra since June 2019. 
  • I am also the Deputy Director (Acting) of the Capability Systems Centre (CSC) since January 2021. I have also engaged in multiple recruitment processes and interview boards for recruiting Level A academics (Research Associates) for the Centre.  

 

 


My Teaching

UG Courses: 

  1. ZEIT3506 (System Engineering & Management), Sem-2 [2019-2020]
  2. ZEIT3506 (Managing the Development of Engineered Systems), Sem-2 [2021+]
  3. System Analysis & Modelling (UC, Canberra)

PG Courses

  1. ZEIT8305 (Systems Thinking & Modelling), Sem-1
  2. ZEIT8310 (Project Schedule & Budget Control), Sem-1
  3. ZEIT8402 (Evidence-Based Decision Making), Sem-1 
  4. ZEIT8403 (Capability Options Analysis), Sem - 2
  5. ZEIT8404 (Decision Making Analytics), Sem- 1/2

 

PG Courses (UNSW Online)

  1. ZZCA6510 (Decision Making in Analytics), Hexamester 1 and 4

 

Professional Education Short Courses

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Location

School of Engineering and IT, University of New South Wales (UNSW), Canberra,
Room 367, Building 21, Northcott Drive, Campbell, ACT
PO Box 7916, CANBERRA BC ACT 2610


Contact

+61 2 5114 5133