Dr Ripon Chakrabortty

PG Engineering Science and Decision Analytics Program Coordinator & Lecturer - Systems Engineering


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


Dr Ripon Kumar Chakrabortty is experienced in applying System Engineering and Project management processes. His research interest covers a wide range of topics in Operations Research, Project Management, Supply Chain Management, and Information Systems Management. He is only accepting potential PhD students who have good programming skills along with a prior understanding of optimization and algorithms. Students with an exceptional academic score (more than 80%) and good publication records with proficient programming skills are encouraged to contact via r.chakrabortty@adfa.edu.au


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 who have good programming skills along with a prior understanding of optimization and algorithms are encouraged to apply. Students with excellent programming and communication skills will be highly appreciable. 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:

  • Research Motivation,
  • Research problems,
  • Research Objectives and Questions
  • Brief Review of the most relevant Literature,
  • Proposed Methodology and
  • Expected Outcome.


For more information, please refer to the following links on how and when to apply for a research degree. NB: You can seek my advice/help during the construction of your Research Proposal.


Research Interests

  • Machine Learning with Optimization Algorithms and Applications
  • Operations Research and Operations Management Techniques (focus: Sustainable Smart Scheduling, Logistics & Supply Chain Management)



  • 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). Year 2018



  • System Engineering & Management
  • Project Scheduling & Budget Control
  • System Thinkings & Modellings
  • 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 Membership & Affiliations

  • The institution of Engineers, Bangladesh (IEB)
  • Trusted Autonomous Group, UNSW Canberra
  • Capability System Centre, UNSW Canberra
  • Australian Research Council (ARC)
  • Bangladesh Australia Association of Canberra (BAAC)
  • IEEE


Future PhD Projects: 
















Book Chapters

Chakrabortty R; Sarker R; Essam D, 2018, 'A Comparative Study of Different Integer Linear Programming Approaches for Resource-Constrained Project Scheduling Problems', in Data and Decision Sciences in Action, Lecture Notes in Management and Industrial Engineering, Springer, Cham, pp. 227 - 242, http://dx.doi.org/10.1007/978-3-319-55914-8_17

Chakrabortty RK; Sarker ; Essam , 2017, 'Resource Constrained Multi-project Scheduling: A Priority Rule Based Evolutionary Local Search Approach', in Intelligent and Evolutionary Systems, edn. Proceedings in Adaptation, Learning and Optimization, vol 8., Springer, Canberra, Australia, pp. 75 - 86, http://dx.doi.org/10.1007/978-3-319-49049-6_6

Journal articles

Abdel-Basset M; Hawash H; Chakrabortty R; Ryan M, 2021, 'Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-based Smart Cities', IEEE Internet of Things Journal

Md Mashud AH; Roy D; Daryanto Y; Chakrabortty R; Tseng M-L, 2021, 'A sustainable inventory model with controllable carbon emissions, deterioration and advance payments', Journal of Cleaner Production

Hossain MA; Chakrabortty R; El Sawah SA; Ryan M, 2021, 'Very Short-term Forecasting of Wind Power Generation using Hybrid Deep Learning Model', Journal of Cleaner Production

Saad H; Chakrabortty R; Elsayed S; Ryan M, 2021, 'Quantum-Inspired Genetic Algorithm for Resource-Constrained Project-Scheduling', IEEE Access

A.K N; Shama A; Chakrabortty R; Ryan M; Badal F; Z. T; Ahamed MH; Sumaya Ishrat M; Das S; Ali MF; Islam MR; Saha DK, 2021, 'Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review', IEEE Access

Abdel-Basset M; Hawash H; Chakrabortty R; Ryan M, 2021, 'Semi-supervised Spatio-Temporal Deep Learning for Intrusions Detection in IoT Networks', IEEE Internet of Things Journal, http://dx.doi.org/10.1109/JIOT.2021.3060878

Abdel-Basset M; Mohamed R; Abouhawwash M; Chakrabortty R; Ryan M, 2021, 'EA-MSCA: an effective energy-aware multi-objective modified sine-cosine algorithm for real-time task scheduling in multiprocessor systems: Methods and Analysis', Expert Systems with Applications

Ferdaus MM; Chakrabortty R; Ryan M, 2021, 'Multi-objective Automated Type-2 Parsimonious Learning Machine to Forecast Time-varying Stock Indices Online', IEEE Transactions on Systems, Man, and Cybernetics: Systems

Asadujjaman M; Rahman MHF; Chakrabortty R; Ryan M, 2021, 'An Immune Genetic Algorithm for Solving NPV-based Resource Constrained Project Scheduling Problem', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2021.3057366

Abdel-Basset M; Mohamed R; Abouhawwash M; Chakrabortty R; Ryan M, 2021, 'A Simple and Effective Approach for Tackling the Permutation Flow Shop Scheduling Problem', Mathematics, vol. 270, http://dx.doi.org/10.3390/math9030270

El-Shafeiy E; Sallam K; Chakrabortty R; Abohany AA, 2021, 'A Clustering based Swarm Intelligence Optimization Technique for the Internet of Medical Things', Expert Systems with Applications

Chakrabortty R; Abdel-Basset M; Mohamed R; Elhoseny M; Ryan M, 2021, 'An efficient heap-based optimization algorithm for parameters identification of proton exchange membrane fuel cells model: Analysis and case studies', International Journal of Hydrogen Energy, https://doi.org/10.1016/j.ijhydene.2021.01.076

Ferdaus M; Zaman F; Chakrabortty R, 2021, 'Performance Improvement of a Parsimonious Learning Machine Using Meta-heuristic Approaches', IEEE Transactions on Cybernetics, pp. 1 - 14, http://dx.doi.org/10.1109/TCYB.2021.3051242

Abdel-Basset M; Mohamed R; Chakrabortty R; Ryan M; Mirjalili S, 2021, 'An efficient Binary Slime Mould Algorithm Integrated with a Novel Attacking-Feeding Strategy for Feature Selection', Computers and Industrial Engineering, vol. 153, http://dx.doi.org/10.1016/j.cie.2020.107078

Abdel-Basset M; Gamal A; Chakrabortty R; Ryan M, 2021, 'Development of a Hybrid Multi-Criteria Decision-making Approach for Sustainability Evaluation of Bioenergy Production Technologies: A Case Study', Journal of Cleaner Production, http://dx.doi.org/10.1016/j.jclepro.2021.125805

Anees MA; Lodi KA; Tariq M; Alam M; Chakrabortty R; Ryan M, 2021, 'Reactive power compensation for grid by Packed-U-Cell inverter using Model Predictive Control Strategy with intelligent Multi-objective scheme', Journal of Intelligent and Fuzzy Systems

Pervez I; Sarwar A; Alam A; Tariq M; Chakrabortty R; Ryan M, 2021, 'An MPPT method using hybrid Radial Movement Optimization with teaching-learning based optimization under Fluctuating Atmospheric Conditions', Journal of Intelligent and Fuzzy Systems

Upadhyay D; Khan SA; Ali M; Tariq M; Sarwar A; Chakrabortty RK; Ryan MJ, 2021, 'Experimental validation of metaheuristic and conventional modulation, and hysteresis control of the dual boost nine-level inverter', Electronics (Switzerland), vol. 10, pp. 1 - 16, http://dx.doi.org/10.3390/electronics10020207

Upadhyay D; Khan S; Ali M; Tariq M; Sarwar A; Chakrabortty R; Ryan M, 2021, 'Metaheuristic and Conventional Modulation, and Hysteresis Control of the DB9LI: An Experimental Validation', Electronics (Basel)

Mohamed A-B; Gamal A; Chakrabortty R; Ryan M, 2021, 'Evaluation Approach for Sustainable Renewable Energy Systems Under Uncertain Environments: A Case Study', Renewable Energy, vol. 168, pp. 1073 - 1095, http://dx.doi.org/10.1016/j.renene.2020.12.124

Abdel-Basset M; Mohamed R; Mirjalili S; Chakrabortty R; Ryan M, 2020, 'MOEO-EED: A Multi-Objective Equilibrium Optimizer with Exploration- Exploitation Dominance Strategy', Knowledge-Based Systems, http://dx.doi.org/10.1016/j.knosys.2020.106717

Biswas T; Abbasi A; Chakrabortty R, 2020, 'An MCDM Integrated Adaptive Simulated Annealing Approach for Influence Maximization in Social Networks', Information Sciences, http://dx.doi.org/10.1016/j.ins.2020.12.048

Hossain MA; Chakrabortty R; Ryan M; Pota H, 2020, 'Energy Management of Community Energy Storage in Grid-connected Microgrid under Uncertain Real-time Prices', Sustainable Cities and Society, http://dx.doi.org/10.1016/j.scs.2020.102658

Sallam K; Chakrabortty R; Ryan M, 2020, 'A Reinforcement Learning Based Multi-Method Approach for Stochastic Resource Constrained Project Scheduling Problems', Expert Systems with Applications, vol. 169, http://dx.doi.org/10.1016/j.eswa.2020.114479

Mohamed A-B; Mohamed R; Sallam K; Chakrabortty R; Ryan M, 2020, 'An efficient-assembler whale optimization algorithm for DNA fragment assembly problem: analysis and validations', IEEE Access, pp. 1 - 24, http://dx.doi.org/10.1109/ACCESS.2020.3044857

Sarfaraz A; Chakrabortty R; Essam D, 2020, 'A Tree Structure-based Improved Blockchain Framework for a Secure Online Bidding System', Computers and Security, vol. 102, http://dx.doi.org/10.1016/j.cose.2020.102147

Abdel-Basset M; Chang V; Hawash H; Chakrabortty R; Ryan M, 2020, 'FSS-2019-nCov: A Deep Learning Architecture for Semi-supervised Few-Shot Segmentation of COVID-19 Infection', Knowledge-Based Systems, vol. 212, http://dx.doi.org/10.1016/j.knosys.2020.106647

Ali I; Sallam K; Moustafa N; Chakrabortty R; Ryan M; Choo K-KR, 2020, 'An Automated Task Scheduling Model using Non-Dominated Sorting Genetic Algorithm II for Fog-Cloud Systems', IEEE Transactions on Cloud Computing, http://dx.doi.org/10.1109/TCC.2020.3032386

Abdel-Basset M; Mohamed R; Chakrabortty R; Sallam K; Ryan M, 2020, 'An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: Analysis and validations', Energy Conversion and Management, vol. 227, http://dx.doi.org/10.1016/j.enconman.2020.113614

Abdel-Basset M; Mohamed R; Chakrabortty R; Ryan M; Mirjalili S, 2020, 'New Binary Marine Predators Optimization Algorithm for 0-1 Knapsack Problems', Computers and Industrial Engineering, http://dx.doi.org/10.1016/j.cie.2020.106949

Abdel-Basset M; Gamal A; Chakrabortty R; Ryan M, 2020, 'Evaluation of Sustainable Hydrogen Production Options Using an Advanced Hybrid MCDM Approach: A Case Study', International Journal of Hydrogen Energy, http://dx.doi.org/10.1016/j.ijhydene.2020.10.232

Abdel-Basset M; Hossam H; Chang V; Chakrabortty R; Ryan M, 2020, 'Deep learning for Heterogeneous Human Activity Recognition in Complex IoT Applications', IEEE Internet of Things Journal, http://dx.doi.org/10.1109/JIOT.2020.3038416

Tayyab M; Sarwar A; Tariq M; Chakrabortty R; Ryan M, 2020, 'Hardware-In-the-Loop Implementation of projectile target search algorithm for selective harmonic elimination in a 3-phase multilevel converter', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2020.3037126

Chakrabortty R; Rahman MHF; Haque KMA; Paul SK; Ryan M, 2020, 'An Event-based Reactive Scheduling Approach for the Resource Constrained Project Scheduling Problem with Unreliable Resources', Computers and Industrial Engineering, http://dx.doi.org/10.1016/j.cie.2020.106981

Jahangoshai Rezaee M; Yousefi S; Baghery M; Chakrabortty R, 2020, 'An intelligent strategy map to evaluate improvement projects of Auto industry using fuzzy cognitive map and fuzzy slack-based efficiency model', Computers and Industrial Engineering, http://dx.doi.org/10.1016/j.cie.2020.106920

Ahmed J; Pervez I; Sarwar A; Tariq M; Mohammad F; Chakrabortty R; Ryan M, 2020, 'Performance Analysis and Hardware in Loop Validation of Single Switch High Voltage Gain DC-DC Converter for MPP Tracking in Solar PV System', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2020.3034310

Sallam K; Elsayed S; Chakrabortty R; Ryan M, 2020, 'Evolutionary Framework with Reinforcement Learning-based Mutation Adaptation', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2020.3033593

Abdel-Basset M; El-Shahat D; Chakrabortty R; Ryan M, 2020, 'Parameter Estimation of Photovoltaic Models Using an Improved Marine Predators Algorithm', Energy Conversion and Management, vol. 227, http://dx.doi.org/10.1016/j.enconman.2020.113491

Abdel-Basset M; Hawash H; Chakrabortty R; Ryan M; Elhoseny M; Houbing S, 2020, 'ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications', IEEE Internet of Things, http://dx.doi.org/10.1109/JIOT.2020.3033430

Abdel-Basset M; Hawash H; Elhoseney M; Chakrabortty R; Ryan M, 2020, 'DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2020.3024238

Sallam KM; Chakrabortty RK; Ryan MJ, 2020, 'A two-stage multi-operator differential evolution algorithm for solving Resource Constrained Project Scheduling problems', Future Generation Computer Systems, vol. 108, pp. 432 - 444, http://dx.doi.org/10.1016/j.future.2020.02.074

Hammad M; Abbasi A; Chakrabortty RK; Ryan MJ, 2020, 'Predicting the critical path changes using sensitivity analysis: a delay analysis approach', International Journal of Managing Projects in Business, vol. 13, pp. 1097 - 1119, http://dx.doi.org/10.1108/IJMPB-07-2019-0184

Chakrabortty RK; Rahman MHF; Ryan M, 2020, 'Efficient Priority Rules for Project Scheduling under dynamic environments: A Heuristic approach', Computers and Industrial Engineering, vol. 140, pp. 1 - 18, http://dx.doi.org/10.1016/j.cie.2020.106287

Chakrabortty RK; Abbasi A; Ryan MJ, 2020, 'Multi-mode resource-constrained project scheduling using modified variable neighborhood search heuristic', International Transactions in Operational Research, vol. 27, pp. 138 - 167, http://dx.doi.org/10.1111/itor.12644

Mathew M; Chakrabortty RK; Ryan M, 2020, 'A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection', Engineering Applications of Artificial Intelligence, vol. 96, pp. 103988 - 103988, http://dx.doi.org/10.1016/j.engappai.2020.103988

Pervez I; Pervez A; Tariq M; Sarwar A; Chakrabortty RK; Ryan M, 2020, 'Rapid and Robust Adaptive Jaya (Ajaya) based Maximum Power Point Tracking of a PV-based Generation System', IEEE Access, pp. 1 - 1, http://dx.doi.org/10.1109/access.2020.3028609

Abdel-Basset M; Gamal A; Chakrabortty RK; Ryan M, 2020, 'A New Hybrid Multi-Criteria Decision-Making Approach for Location Selection of Sustainable Offshore Wind Energy Stations: A Case Study', Journal of Cleaner Production, pp. 124462 - 124462, http://dx.doi.org/10.1016/j.jclepro.2020.124462

Abdel-Basset M; Mohamed R; Mirjalili S; Chakrabortty RK; Ryan M, 2020, 'Solar photovoltaic parameter estimation using an improved equilibrium optimizer', Solar Energy, vol. 209, pp. 694 - 708, http://dx.doi.org/10.1016/j.solener.2020.09.032

Showing 1 - 50 of 105 publications
Advancement in Optimisation (Digitalisation Focused)

Optimisation as it term implies often brings diversified contexts under one umbrella. Despite of having opulence of existing optimisation approaches, integration of proper method with real-life applications is still a challenging and onerous task. Here, we as a team, have been working on many such techniques to foot-print in diversified domains along with the association of Capability Systems Centre.

Key Contact:
Austrlian National University, Canberra, Australia
S P Jain School of Global Management, Sydney, Australia
Canberra Institute of Technology, Canberra, Australia
University of Sydney, Sydney, Australia
Urmia University of Technology, Urmia, Iran
Mr Hasan Mashud Jewel
North South University, Bangladesh
North South University, Bangladesh
University of Technology Sydney, Sydney, Australia
University of Technology Sydney, Sydney, Australia
RMIT University, Melbourne, Australia
The University of Texas at Arlington, Arlington, TX, USA
Shri Shankaracharya Institute of Professional Management & Technology, Raipur, India
Dr. Ripon Chakrabortty (Group Leader & Founder) Professor Mike J Ryan Dr. Alireza Abbasi Dr. Sondoss El Sawah