Center of Excellence in Higher Education
The First Private University in Bangladesh

Dr. Mohammad Humyun Fuad Rahman

Full Time Faculty
Assistant Professor

Ph.D. in Computer Science (Operations Research), University of New South Wales (QS World University Ranking: 19), Australia

Phone: +880-2-55668200 Ext: 6318
Email: mohammad.rahman38@northsouth.edu
Office: NAC-1151

Curriculum Vitae

[1]    H. F. Rahman, R. K. Chakrabortty, T. Servranckx, M. Vanhoucke, S. El Sawah, “Synchronisation of production scheduling and batch delivery in supply chain in flow shop environment under time-of-use electricity prices,” Annals of Operations Research, Impact factor 4.4, Q1 (Web of Science (WoS)).

[2]        Y. Wang, Y. Fu, K. Gao, H. F. Rahman, and M. Huang “Open Shop Scheduling with Group and Transportation Operations by Learning-Driven Hyper-Heuristic Algorithms,” Swarm & Evolutionary Computation, vol. 91, 101757, Impact factor 8.2, Q1 (WoS)).

[3]     M. Asadujjaman, H. F. Rahman, R. K. Chakrabortty, and M. J. Ryan, “Supply chain integrated resource constrained multi-project scheduling problem,” Computers & Industrial Engineering, vol. 194, 110380 , Impact factor 6.7, Q1 (WoS)).

[4]       A. Akl, H. F. Rahman, R. Chakrabortty, and and S. El Sawah, “An assets maintenance-workforce planning problem under uncertainty: A chance constraints assisted simulation-optimization approach,” Simulation Modelling Practice and Theory, vol. 130, 102839, Impact factor 3.5, Q1 (WoS)).

[5]         H. F. Rahman, M. N. Janardhanan, and S. Ponnambalam, "Energy aware semi-automatic assembly line balancing problem considering ergonomic risk and uncertain processing time ,"Expert Systems with Applications, vol. 231, 120737,  Impact factor 7.5, Q1 (WoS).

[6]        H. F. Rahman, T. Servrancks, R. Chakrabortty, M. Vanhoucke, and S. Elsawah “Memetic algorithms for project scheduling in low-carbon manufacturing with human factors” (Applied Soft Computing, vol. 131, 109764, Impact factor 7.2, Q1 (WoS)).

[7]         H. F. Rahman, R. K. Chakrabortty, S. K. Paul, and S. El Sawah, “Optimizing vaccines supply chains to mitigate the COVID-19 pandemic,” International Journal of Systems Science: Operations & Logistics, 2022, 1-33, Impact factor 9.040, Q1 (WoS).

[8]           M.M. Bassiounia, R. K. Chakrabortty, O.K. Hussain, and H. F. Rahman, “Advanced Deep Learning Approaches to Predict Supply Chain Risks Under COVID-19 Restrictions,” Expert Systems with Applications, vol. 193, 1 May 2022, 116446. Impact Factor 7.5, Q1 (WoS).   

[9]           W. Chen, H. F. Rahman, H. Liu, E. Qi, “Data-driven proactive in-house part-feeding for just-in-time mixed-model assembly systems,” Computers & Industrial Engineering, vol. 178, page 109101,  Impact factor 6.7, Q1 (WoS).

[10]       T. Azad,  H. F. Rahman, R. K. Chakrabortty, and M. J. Ryan, " Optimization of    Integrated Production Scheduling and Vehicle Routing Problem with Batch Delivery to Multiple Customers in Supply Chain," Memetic Computing, vol. 14, page 355-376,  Impact factor 3.577, Q2 (WoS).

[11]       H. F. Rahman, R. K. Chakrabortty, S. El Sawah, and M. J. Ryan, “Energy-Efficient Project Scheduling with Supplier Selection in Manufacturing Projects,” Expert Systems with Applications, vol. 193, 1 May 2022, 116446. Impact Factor 7.5, Q1 (WoS)).

[12]      M. Asadujjaman, H. F. Rahman, R. K. Chakrabortty, and M. J. Ryan, “Multi-operator Immune Genetic Algorithm for Project Scheduling with Discounted Cash Flows,” Expert Systems with Applications, vol. 195, 116589, Impact Factor 7.5, Q1 (WoS).

[13]        H. F. Rahman, R. K. Chakrabortty, and M. J. Ryan, "Scheduling project with stochastic durations and time-varying resource requests: A metaheuristic approach," Computers & Industrial Engineering, p. 107363, 2021. Impact Factor 6.7, Q1 (WoS).

[14]       H. F. Rahman, M. N. Janardhanan, L. P. Chuen, and S. Ponnambalam, "Flowshop scheduling with sequence dependent setup times and batch delivery in supply chain," Computers & Industrial Engineering, p. 107378, 2021. Impact Factor 6.7, Q1 (WoS).

[15]     M. H. F. Rahman, R. K. Chakrabortty, and M. J. Ryan, "Managing Uncertainty and Disruptions in Resource Constrained Project Scheduling Problems: A Real-Time Reactive Approach," IEEE Access, vol. 9, pp. 45562-45586, 2021. Impact Factor 3.4, Q1 (WoS).

[16]   M. Asadujjaman, H. F. Rahman, R. K. Chakrabortty, and M. J. Ryan, “Resource Constrained Project Scheduling and Material Ordering Problem with Discounted Cash Flows,” Computers & Industrial Engineering, vol. 158, 107427, Impact Factor 6.7, Q1 (WoS).

[17]       M. Asadujjaman, H. F. Rahman, R. K. Chakrabortty, and M. J. Ryan, "An Immune Genetic Algorithm for Solving NPV-Based Resource Constrained Project Scheduling Problem," IEEE Access, vol. 9, pp. 26177-26195, 2021. Impact Factor 3.4, Q1 (WoS).

[18]       R. K. Chakrabortty, H. F. Rahman, K. M. Haque, S. K. Paul, and M. J. Ryan, "An event-based reactive scheduling approach for the Resource Constrained Project Scheduling Problem with unreliable resources," Computers & Industrial Engineering, vol. 151, p. 106981, 2021. Impact Factor 6.7, Q1 (WoS).

[19]       Z. Li, M. N. Janardhanan, and H. F. Rahman, "Enhanced beam search heuristic for U-shaped assembly line balancing problems," Engineering Optimization, vol. 53, no. 4, pp. 594-608, 2021. Impact Factor 2.2, Q2 (WoS).

[20]       R. K. Chakrabortty, H. F. Rahman, and M. J. Ryan, "Efficient priority rules for project scheduling under dynamic environments: A heuristic approach," Computers & Industrial Engineering, vol. 140, p. 106287, 2020. Impact Factor 6.7, Q1 (WoS).

[21]       H. F. Rahman, M. N. Janardhanan, and P. Nielsen, "An integrated approach for line balancing and AGV scheduling towards smart assembly systems," Assembly Automation, 2020. Impact Factor 2.243, Q4 (WoS).

[22]       H. F. Rahman, R. K. Chakrabortty, and M. J. Ryan, "Memetic algorithm for solving resource constrained project scheduling problems," Automation in Construction, vol. 111, p. 103052, 2020. Impact Factor 10.517, Q1 (WoS).

[23]       T. T. Choudhury, S. K. Paul, H. F. Rahman, Z. Jia, and N. Shukla, "A systematic literature review on the service supply chain: research agenda and future research directions," Production Planning & Control, vol. 31, no. 16, pp. 1363-1384, 2020. Impact Factor 6.1, Q1 (WoS).

[24]       H. F. Rahman, M. N. Janardhanan, and I. E. Nielsen, "Real-time order acceptance and scheduling problems in a flow shop environment using hybrid GA-PSO algorithm," IEEE Access, vol. 7, pp. 112742-112755, 2019. Impact Factor 3.4, Q1 (WoS).

[25]       H. F. Rahman and I. Nielsen, "Scheduling automated transport vehicles for material distribution systems," Applied Soft Computing, vol. 82, p. 105552, 2019. Impact Factor 7.2, Q1 (WoS).

[26]       H. F. Rahman, R. Sarker, and D. Essam, "Multiple-order permutation flow shop scheduling under process interruptions," The International Journal of Advanced Manufacturing Technology, vol. 97, no. 5, pp. 2781-2808, 2018. Impact Factor 2.9, Q2 (WoS).

[27]       H. F. Rahman, R. Sarker, and D. Essam, "A genetic algorithm for permutation flowshop scheduling under practical make-to-order production system," Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AI EDAM, vol. 31, no. 1, p. 87, 2017. Impact Factor 1.7, Q3 (WoS).

[28]       H. F. Rahman, R. Sarker, and D. Essam, "A genetic algorithm for permutation flow shop scheduling under make to stock production system," Computers & Industrial Engineering, vol. 90, pp. 12-24, 2015. Impact Factor 6.7, Q1 (WoS).

[29]       H. F. Rahman, R. Sarker, and D. Essam, "A real-time order acceptance and scheduling approach for permutation flow shop problems," European Journal of Operational Research, vol. 247, no. 2, pp. 488-503, 2015. Impact Factor 6, Q1 (WoS).

 

Ph.D. in Computer Science (focus: Operations Research), University of New South Wales, Australia (Current QS University World Ranking: 19)

B.Sc. in Industrial and Production Engineering, Rajshahi University of Engineering and Technology, Bangladesh

Assistant Professor    Department of Management, Independent University, Bangladesh (IUB) (focus: Operations and Supply chain Management) 

 

Lecturer in Operations and Supply chain Management       Newcastle University Business School, Newcastle University, Newcastle, UK                

 

Lecturer in Operations and Supply chain Management       Cardiff School of Management, Cardiff Met

                                                                                   University, Cardiff, UK (September 2022 – August 2023)                       

 

Research Associate       Capability Systems Centre, School of Engineering and Information  

                                            Technology, UNSW, Canberra, Australia (December 2018 – June 2022)

 

Post-doctoral Fellow     Department of Mechanical and Manufacturing Engineering, Aalborg

                                            University, Denmark (January 2017 - October 2018)     

                                                         

Research Publication Fellow       School of Engineering and Information Technology

                                                             UNSW, Canberra, Australia (01 March, 2015 - 30 June 2015)

 

 

  • Mathematical Programming (using GUROBI and CPLEX optimizer)
  • Sustainable Manufacturing systems optimization
  • Distribution planning
  • Sustainable Project and Supply Chain management
  • Industry 4.0 and Industry 5.0
  • Evolutionary Computation
  • Decision making under uncertainty and disruptions in Project and Supply chains