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 managementSEO tags
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
- Project Management Analytics (Click here for Registration)
- Supply Chain Analytics in Industry 4.0 era (Click here for Registration)
- Business Analysis and Valuation (Click here for Registration)
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
- 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.
- Co-CI, RG203864, “SEA1905-1 Artefacts Validation and Requirements Development”, Department of Defence / Commonwealth Government Contract, 2020, $300,000.
- Co-CI, RG192081, “Development of Joint Requirements Framework and Acquisition Roadmap”, Department of Defence / Commonwealth Government Contract, 2019-2020, $541,425.
- Co-CI, RG193169, “LTSS Operational Concept Development”, Department of Defence / Commonwealth Government Contract, 2019-2020, $245,125.
- Co-CI, RG202374, “Navy Guided Weapons (NGW) Planning Tool Update”, Department of Defence / Commonwealth Government Contract, 2020-2021, $330,600.
- 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.
- 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.
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
- Invited speaker, the International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI 202), Department of Mechatronics Engineering, Rajshahi University of Engineering & Technology (RUET), 8-9th July 2021.
- Invited speaker at a Medical Intelligence Society’s virtual meeting (MIS Summit 2021). 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, International Seminar on "Big Data Analytics for Industry 4.0: Applications & Challenges", Lal Bahadur Shastri Institute of Management, India.
- Chairing multiple technical sessions during the IEEE International Conference on Industrial Engineering & Engineering Management (IEEM) since 2018.
- Program committee member for IEEE International Conference on Industrial Engineering & Engineering Management (IEEM) since 2018.
- Guest Editor of a special issue in a first quartile journal (Electronics-MDPI)
- 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 Mathematics (MDPI): An Open-access Journal
- Editorial Board Member in Sustainability: An Open-access Journal (MDPI)
- Chief Guest Editor for a Special Section in IEEE Transactions on Industrial Informatics (IF: 10.215, 2nd on Industrial Engineering as per the Web of Science).
- Co-Editor for 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 Editor for the “IEEE Conference on Systems, Man and Cybernetics- 2021 version”, the flagship conference of the IEEE Systems, Man and Cybernetics Society.
- Hosted a seminar on “Merging Data Analytics and Decision Analytics towards Project Management Roadmap: Future Perspectives” in the Australian Society for Operations Research (ASOR) Seminar Series.
- Associate Editor & Track Session Chair for the IEEE International Conference on Automation, Control and Mechatronics for Industry 4.0: 2021 Version.
- Co-Organiser, special session on partitioning and clustering for evolutionary computation, IEEE World Congress on Computational Intelligence, Padua, Italy, 18-23 July 2022.
- Editorial Board Member in the journal ‘Clean Technologies & Recycling’, AIMS Press.
- Guest Editor, special issue on “Neuroevolution: Methods and Applications”, Journal of Computational Intelligence and Neuroscience, Hindawi.
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:
- 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
- Project Management Analytics (Click here for Registration)
- Supply Chain Analytics in Industry 4.0 era (Click here for Registration)
- Business Analysis and Valuation (Click here for Registration)
Location
Room 367, Building 21, Northcott Drive, Campbell, ACT
PO Box 7916, CANBERRA BC ACT 2610
Publications
ORCID as entered in ROS
https://orcid.org/0000-0002-7373-0149
Related Links
Advanced Approaches for Solving Portfolio of Projects Under Uncertain Environments
In this research work, different advanced approaches need to be proposed to solve the portfolio of projects (PoP) under uncertain conditions. Considering practical aspect in any typical project setting, both activity durations and resource availabilities can be considered as uncertain a...
Combining Optimization and Multi-Criteria Decision Analysis in A Multi-Method Framework with Application in Asset Planning
Asset plan is a tactical plan for managing an organization’s infrastructure and other assets to deliver an agreed standard of service that aligns with the corporate goals. The assets can be both tangible assets (such as buildings) and intangible assets (such as human capital, intellectu...
Mitigating Uncertainties in Dynamic Logistic & Supply Chain Models: Optimization Approach
Supply chain management is important for companies and organizations to improve their business and enhance competitiveness in the global marketplace. A manufacturer-retailer system which operates under an agreed coordinated policy needs to be considered, with an imperfect production pro...
Solving Resource Portfolio Problem: Mitigating Uncertainties and Preparing for the Unexpected
Most approaches to multi-project scheduling are based on the assumption that resources can be transferred between projects without any expense in time and cost. Moreover, whoever considered resource transfer times as a decision parameter, they mostly assumed those transfer times as disc...
Synchronization of production scheduling and delivery in multi-factory supply chain
The rise of the globalization of manufacturing industries has led to enhanced, decentralized or multi-factory supply chains, which are of considerable interest to both researchers and practitioners. Production scheduling and distribution decisions in decentralized supply chains have bec...