By Dr Ripon Kumar Chakrabortty

Books

Makkar S; Ravindran G; Chakrabortty RK; Pal A, 2025, Handbook of artificial intelligence for smart city development: Management systems and technology challenges, http://dx.doi.org/10.1201/9781003649892

Abdel-Basset M; Chakrabortty RK; Gamal A, 2023, Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare

Abdel-Basset M; Chakrabortty RK; Ramadan R, 2023, Application of Advanced Optimization Techniques for Healthcare Analytics, CRC Press

Abdel-Basset M; Chakrabortty RK; Gamal A, 2023, Soft Computing for Smart Environments Techniques and Applications, CRC Press

Book Chapters

Ordibazar AH; Hussain OK; Chakrabortty RK; Irannezhad E; Saberi M, 2025, 'Developing Long-Term Business Strategies by Leveraging Infeasible Recommendations of the Counterfactual Explanation Model', in Lecture Notes on Data Engineering and Communications Technologies, pp. 177 - 187, http://dx.doi.org/10.1007/978-3-031-87769-8_16

Chakrabortty RK, 2025, 'Project scheduling with resource considerations', in Reference Module in Social Sciences, Elsevier, http://dx.doi.org/10.1016/b978-0-443-28993-4.00189-x

Gholamreza K; Jahangoshai Rezaee M; Chakrabortty R; Saberi M, 2024, 'Bayesian network based on cross bow-tie to analyze differential effects of internal and external risks on sustainable supply chain', in Paul S; Kautish S (ed.), Computational Intelligence Techniques for Sustainable Supply Chain Management, Academic Press, Elsevier, pp. 331 - 382, http://dx.doi.org/10.1016/B978-0-443-18464-2.00005-4

Ahmed S; Chakrabortty R; Essam D, 2024, 'Predictive big data analytics for supply chain demand forecasting', in Paul SK; Kautish S (ed.), Computational Intelligence Techniques for Sustainable Supply Chain Management, Academic Press, Elsevier, pp. 301 - 330, http://dx.doi.org/10.1016/B978-0-443-18464-2.00011-X

Khojasteh G; Rezaee MJ; Chakrabortty RK; Saberi M, 2024, 'Chapter twelve Bayesian network based on cross bow-tie to analyze differential effects of internal and external risks on sustainable supply chain', in Computational Intelligence Techniques for Sustainable Supply Chain Management, Elsevier, pp. 331 - 381, http://dx.doi.org/10.1016/b978-0-443-18464-2.00005-4

Asadujjaman M; Rahman HF; Chakrabortty RK; Ryan MJ, 2023, 'Surrogate-assisted Genetic Algorithm for Multi-project Scheduling', in , pp. 87 - 97, http://dx.doi.org/10.1007/978-3-031-19958-5_9

Khalifa NEM; Taha MHN; Chakrabortty RK; Loey M, 2022, 'COVID-19 Chest X-rays Classification Through the Fusion of Deep Transfer Learning and Machine Learning Methods', in Lecture Notes on Data Engineering and Communications Technologies, pp. 1 - 11, http://dx.doi.org/10.1007/978-981-19-2948-9_1

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, Springer, Canberra, Australia, pp. 75 - 86, http://dx.doi.org/10.1007/978-3-319-49049-6_6

Edited Books

Makkar S; Ravindran G; Chakrabortty R; Pal A, (eds.), 2024, Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges, CRC Press, Taylor & Francis, Boca Raton, http://dx.doi.org/10.1201/9781003225317

Journal articles

Garine R; Chakrabortty RK, 2025, 'A deep learning and policy optimization approach for supply chain order classification', Supply Chain Analytics, 12, http://dx.doi.org/10.1016/j.sca.2025.100166

Mahmud S; Chakrabortty RK; Abbasi A; Ryan MJ, 2025, 'A multi-objective analytics approach for supply chain optimization in flexible manufacturing systems', Supply Chain Analytics, 12, http://dx.doi.org/10.1016/j.sca.2025.100170

Ahmed S; Chakrabortty RK; Essam DL, 2025, 'A multi-source multi-layer-based transfer learning approach for forecasting customer demands of newly launched products', Intelligent Systems with Applications, 27, http://dx.doi.org/10.1016/j.iswa.2025.200548

Du J; Chen Y; Mumtaz J; Xu L; Li P; Chakrabortty RK, 2025, 'Adaptive hybrid priority-enabled deep Q-network for machine degradation-based dynamic scheduling of assembly line', Journal of Industrial Information Integration, 47, http://dx.doi.org/10.1016/j.jii.2025.100927

Keshtpour A; Chakrabortty RK, 2025, 'The selection of saltwater desalination technology using new measurement alternatives by a combination of angle and distance (MACAD) method: a case study', Environment Systems and Decisions, 45, http://dx.doi.org/10.1007/s10669-025-10034-1

Badhon B; Chakrabortty RK; Anavatti SG; Vanhoucke M, 2025, 'IRAF-BRB: An explainable AI framework for enhanced interpretability in project risk assessment', Expert Systems with Applications, 285, http://dx.doi.org/10.1016/j.eswa.2025.127979

Xin Y; Ali IM; Shi Y; Essam DL; Chakrabortty RK, 2025, 'Optimizing multinational manufacturing supply chains under diverse carbon policies using carbon gaming', Transportation Research Part E Logistics and Transportation Review, 198, http://dx.doi.org/10.1016/j.tre.2025.104091

Badhon B; Chakrabortty RK; Anavatti SG; Vanhoucke M, 2025, 'A Multi-Module Explainable Artificial Intelligence Framework for Project Risk Management: Enhancing Transparency in Decision-making', Engineering Applications of Artificial Intelligence, 148, http://dx.doi.org/10.1016/j.engappai.2025.110427

Nimmy SF; Hussain OK; Chakrabortty RK; Saha S, 2025, 'Explainable Artificial Intelligence (XAI) in glaucoma assessment: Advancing the frontiers of machine learning algorithms', Knowledge Based Systems, 316, http://dx.doi.org/10.1016/j.knosys.2025.113333

Ordibazar AH; Hussain OK; Chakrabortty RK; Irannezhad E; Saberi M, 2025, 'Artificial intelligence applications for supply chain risk management considering interconnectivity, external events exposures and transparency: a systematic literature review', Modern Supply Chain Research and Applications, http://dx.doi.org/10.1108/mscra-10-2024-0041

Henderson K; Chakrabortty RK, 2025, 'A machine learning predictive model for bushfire ignition and severity: The Study of Australian black summer bushfires', Decision Analytics Journal, 14, http://dx.doi.org/10.1016/j.dajour.2024.100529

Habibi F; Chakrabortty RK; Servranckx T; Abbasi A; Vanhoucke M, 2025, 'Project portfolio selection and scheduling problem under material supply uncertainty', Operations Management Research, 18, pp. 226 - 256, http://dx.doi.org/10.1007/s12063-024-00532-x

Mousavirad SJ; Schaefer G; Rezaee K; Oliva D; Zabihzadeh D; Chakrabortty RK; Mohammadigheymasi H; Pedram M, 2025, 'A novel metaheuristic population algorithm for optimising the connection weights of neural networks', Evolving Systems, 16, http://dx.doi.org/10.1007/s12530-024-09641-1

Nimmy SF; Hussain OK; Chakrabortty RK; Leshob A, 2025, 'Quantifying the trustworthiness of explainable artificial intelligence outputs in uncertain decision-making scenarios', Engineering Applications of Artificial Intelligence, 141, http://dx.doi.org/10.1016/j.engappai.2024.109678

Rahman HF; Servranckx T; Chakrabortty RK; Vanhoucke M; El Sawah S, 2025, 'Synchronizing production and delivery in flow shops with time-of-use electricity pricing', Annals of Operations Research, 345, pp. 371 - 403, http://dx.doi.org/10.1007/s10479-024-06430-6

Habibi F; Chakrabortty RK; Abbasi A; Ho W, 2025, 'Building resilient closed-loop supply chains: resilience enablers and diversified sourcing under global disruptions', International Journal of Production Research, http://dx.doi.org/10.1080/00207543.2025.2546653

Habibi F; Chakrabortty RK; Abbasi A; Ho W, 2025, 'Investigating disruption propagation and resilience of supply chain networks: interplay of tiers and connections', International Journal of Production Research, 63, pp. 6229 - 6251, http://dx.doi.org/10.1080/00207543.2025.2470348

Ahmed S; Chakrabortty RK; Essam DL; Ding W, 2024, 'A switching based forecasting approach for forecasting sales data in supply chains', Applied Soft Computing, 167, http://dx.doi.org/10.1016/j.asoc.2024.112419

Biswas TK; Abbasi A; Chakrabortty RK, 2024, 'Generalized hop-based approaches for identifying influential nodes in social networks', Expert Systems, 41, http://dx.doi.org/10.1111/exsy.13649

Bassiouni MM; Chakrabortty RK; Sallam KM; Hussain OK, 2024, 'Deep learning approaches to identify order status in a complex supply chain', Expert Systems with Applications, 250, http://dx.doi.org/10.1016/j.eswa.2024.123947

Asadujjaman M; Rahman HF; Chakrabortty RK; Ryan MJ, 2024, 'Supply chain integrated resource-constrained multi-project scheduling problem', Computers and Industrial Engineering, 194, http://dx.doi.org/10.1016/j.cie.2024.110380

Sallam KM; Hossain MA; Elsayed S; Chakrabortty RK; Ryan MJ; Abido MA, 2024, 'Optimal power flow considering intermittent solar and wind generation using multi-operator differential evolution algorithm', Electric Power Systems Research, 232, http://dx.doi.org/10.1016/j.epsr.2024.110377

Biswas TK; Abbasi A; Chakrabortty RK, 2024, 'A cost-effective seed selection model for multi-constraint influence maximization in social networks', Decision Analytics Journal, 11, http://dx.doi.org/10.1016/j.dajour.2024.100474

Mashud AHM; Chakrabortty RK; Hussain OK; Choi TM, 2024, 'Reducing emissions from production and distribution in three-echelon supply chains', International Journal of Production Economics, 271, http://dx.doi.org/10.1016/j.ijpe.2024.109181

Ali IM; Turan HH; Chakrabortty RK; Elsawah S, 2024, 'Multi-objective-based differential evolution for balancing production cost, diversity and aggregated performance attributes in product family design', Flexible Services and Manufacturing Journal, 36, pp. 175 - 223, http://dx.doi.org/10.1007/s10696-022-09480-9

Ghasemi M; Chakrabortty RK; Shahabi-Shahmiri R; Mirnezami SA, 2024, 'A chance-constrained programming method with credibility measure for solving the multi-skill multi-mode resource-constrained project scheduling problem', International Journal of Construction Management, 24, pp. 1090 - 1106, http://dx.doi.org/10.1080/15623599.2023.2252255

Akl AM; Rahman HF; Chakrabortty RK; Sawah SE, 2024, 'An assets maintenance-workforce planning problem under uncertainty: A chance constraints assisted simulation-optimization approach', Simulation Modelling Practice and Theory, 130, http://dx.doi.org/10.1016/j.simpat.2023.102839

Chakrabortty RK; Turan HH; Govindan K; Dessouky Y, 2024, 'Welcome Message from the Conference Chairs', Proceedings of International Conference on Computers and Industrial Engineering CIE, 2024-December

Ali IM; Biswas S; Turan HH; Chakrabortty RK; Elsawah S; Ryan MJ, 2023, 'An integrated differential evolution algorithm for reconfigurable manufacturing systems', Applied Soft Computing, 149, http://dx.doi.org/10.1016/j.asoc.2023.111025

Sutherland M; Chakrabortty RK, 2023, 'An optimal ambulance routing model using simulation based on patient medical severity', Healthcare Analytics, 4, http://dx.doi.org/10.1016/j.health.2023.100256

Hossain MS; Chakrabortty RK; Elsawah S; Ryan MJ, 2023, 'Hierarchical joint optimization of modular product family and supply chain architectures considering sustainability', Sustainable Production and Consumption, 43, pp. 15 - 33, http://dx.doi.org/10.1016/j.spc.2023.10.010

Sarfaraz A; Chakrabortty RK; Essam DL, 2023, 'AccessChain: An access control framework to protect data access in blockchain enabled supply chain', Future Generation Computer Systems, 148, pp. 380 - 394, http://dx.doi.org/10.1016/j.future.2023.06.009

Hossain MA; Gray E; Lu J; Islam MR; Alam MS; Chakrabortty R; Pota HR, 2023, 'Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power Prediction', IEEE Transactions on Industrial Informatics, 19, pp. 10145 - 10159, http://dx.doi.org/10.1109/TII.2022.3230726

Sharma A; Chakrabortty RK; Sharma V; Marwaha H; Singh P; Mahajan S; Pandit AK, 2023, 'A multi-criteria decision-making tool for the screening of Asperger syndrome', Multimedia Tools and Applications, 82, pp. 34095 - 34111, http://dx.doi.org/10.1007/s11042-023-14996-9

Biswas S; Chakrabortty RK; Turan HH; Elsawah S, 2023, 'Consideration of uncertainties in a dynamic modeling system integrated with a deep learning based forecasting approach', CIRP Journal of Manufacturing Science and Technology, 44, pp. 27 - 44, http://dx.doi.org/10.1016/j.cirpj.2023.04.003

Habibi F; Chakrabortty RK; Abbasi A, 2023, 'Evaluating supply chain network resilience considering disruption propagation', Computers and Industrial Engineering, 183, http://dx.doi.org/10.1016/j.cie.2023.109531

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