By Dr Ripon Kumar Chakrabortty

Book Chapters

Asadujjaman M; Rahman HF; Chakrabortty RK; Ryan MJ, 2023, 'Surrogate-assisted Genetic Algorithm for Multi-project Scheduling', in Intelligent Computing & Optimization, Springer International Publishing, 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, 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

Chakrabortty RK; Abdel-Basset M; Ali AM, 2023, 'A multi-criteria decision analysis model for selecting an optimum customer service chatbot under uncertainty', Decision Analytics Journal, vol. 6, pp. 100168 - 100168, http://dx.doi.org/10.1016/j.dajour.2023.100168

Bassiouni MM; Chakrabortty RK; Hussain OK; Rahman HF, 2023, 'Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions', Expert Systems with Applications, vol. 211, pp. 118604, http://dx.doi.org/10.1016/j.eswa.2022.118604

Nimmy SF; Hussain OK; Chakrabortty RK; Hussain FK; Saberi M, 2023, 'Interpreting the antecedents of a predicted output by capturing the interdependencies among the system features and their evolution over time', Engineering Applications of Artificial Intelligence, vol. 117, pp. 105596 - 105596, http://dx.doi.org/10.1016/j.engappai.2022.105596

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, pp. 1 - 13, http://dx.doi.org/10.1109/tii.2022.3230726

Rahman HF; Servranckx T; Chakrabortty RK; Vanhoucke M; El Sawah S, 2022, 'Manufacturing project scheduling considering human factors to minimize total cost and carbon footprints', Applied Soft Computing, vol. 131, pp. 109764 - 109764, http://dx.doi.org/10.1016/j.asoc.2022.109764

Biswas TK; Abbasi A; Chakrabortty RK, 2022, 'An improved clustering based multi-objective evolutionary algorithm for influence maximization under variable-length solutions', Knowledge-Based Systems, vol. 256, pp. 109856 - 109856, http://dx.doi.org/10.1016/j.knosys.2022.109856

Mashud AHM; Roy D; Chakrabortty RK; Tseng ML; Pervin M, 2022, 'An optimum balance among the reduction in ordering cost, product deterioration and carbon emissions: a sustainable green warehouse', Environmental Science and Pollution Research, vol. 29, pp. 78029 - 78051, http://dx.doi.org/10.1007/s11356-022-21008-0

Abdel-Basset M; Mohamed R; Sallam KM; Chakrabortty RK, 2022, 'Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm', Mathematics, vol. 10, http://dx.doi.org/10.3390/math10193466

Gad AG; Sallam KM; Chakrabortty RK; Ryan MJ; Abohany AA, 2022, 'Correction to: An improved binary sparrow search algorithm for feature selection in data classification (Neural Computing and Applications, (2022), 34, 18, (15705-15752), 10.1007/s00521-022-07203-7)', Neural Computing and Applications, vol. 34, pp. 15753, http://dx.doi.org/10.1007/s00521-022-07546-1

Sarfaraz A; Chakrabortty RK; Essam DL, 2022, 'The implications of blockchain-coordinated information sharing within a supply chain: A simulation study', Blockchain Research and Applications, pp. 100110 - 100110, http://dx.doi.org/10.1016/j.bcra.2022.100110

Azad T; Rahman HF; Chakrabortty RK; Ryan MJ, 2022, 'Optimization of integrated production scheduling and vehicle routing problem with batch delivery to multiple customers in supply chain', Memetic Computing, http://dx.doi.org/10.1007/s12293-022-00372-x

Mousavirad SJ; Oliva D; Chakrabortty RK; Zabihzadeh D; Hinojosa S, 2022, 'Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation', Knowledge-Based Systems, vol. 245, pp. 108610 - 108610, http://dx.doi.org/10.1016/j.knosys.2022.108610

Biswas S; Ali I; Chakrabortty RK; Turan HH; Elsawah S; Ryan MJ, 2022, 'Dynamic modeling for product family evolution combined with artificial neural network based forecasting model: A study of iPhone evolution', Technological Forecasting and Social Change, vol. 178, pp. 121549 - 121549, http://dx.doi.org/10.1016/j.techfore.2022.121549

Mishra AR; Pamučar D; Hezam IM; Chakrabortty RK; Rani P; Božanić D; Ćirović G, 2022, 'Interval-Valued Pythagorean Fuzzy Similarity Measure-Based Complex Proportional Assessment Method for Waste-to-Energy Technology Selection', Processes, vol. 10, http://dx.doi.org/10.3390/pr10051015

El-Dahshan E-SA; Bassiouni MM; Hagag A; Chakrabortty RK; Loh H; Acharya RU, 2022, 'RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images', Expert Systems with Applications, pp. 117410 - 117410, http://dx.doi.org/10.1016/j.eswa.2022.117410

Gad A; Sallam K; Chakrabortty R; Ryan M; Abohany AA, 2022, 'An improved binary sparrow search algorithm for feature selection in data classification', Neural Computing and Applications, http://dx.doi.org/10.1007/s00521-022-07203-7

Mahmud S; Chakrabortty RK; Abbasi A; Ryan MJ, 2022, 'Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems', Journal of Intelligent Manufacturing, http://dx.doi.org/10.1007/s10845-022-01940-1

Biswas TK; Abbasi A; Chakrabortty RK, 2022, 'A two-stage VIKOR assisted multi-operator differential evolution approach for Influence Maximization in social networks', Expert Systems with Applications, vol. 192, pp. 116342 - 116342, http://dx.doi.org/10.1016/j.eswa.2021.116342

Akl AM; El Sawah S; Chakrabortty RK; Turan HH, 2022, 'A Joint Optimization of Strategic Workforce Planning and Preventive Maintenance Scheduling: A Simulation–Optimization Approach', Reliability Engineering and System Safety, vol. 219, pp. 108175 - 108175, http://dx.doi.org/10.1016/j.ress.2021.108175

Pervez I; Sarwar A; Alam A; Tariq M; Chakrabortty R; Ryan M, 2022, 'An MPPT method using hybrid Radial Movement Optimization with teaching-learning based optimization under Fluctuating Atmospheric Conditions', Journal of Intelligent and Fuzzy Systems, pp. 1 - 10, http://dx.doi.org/10.3233/JIFS-189750

Anees MA; Lodi KA; Tariq M; Alam M; Chakrabortty R; Ryan M, 2022, '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, pp. 1 - 14, http://dx.doi.org/10.3233/JIFS-189749

Asadujjaman M; Rahman MHF; Chakrabortty R; Ryan M, 2022, 'Multi-operator Immune Genetic Algorithm for Project Scheduling with Discounted Cash Flows', Expert Systems with Applications, vol. 195, http://dx.doi.org/10.1016/j.eswa.2022.116589

Paul SK; Chowdhury P; Chakrabortty RK; Ivanov D; Sallam K, 2022, 'A mathematical model for managing the multi-dimensional impacts of the COVID-19 pandemic in supply chain of a high-demand item', Annals of Operations Research, http://dx.doi.org/10.1007/s10479-022-04650-2

Habibi F; Abbasi A; Chakrabortty RK, 2022, 'Designing an efficient vaccine supply chain network using a two-phase optimization approach: a case study of COVID-19 vaccine', International Journal of Systems Science: Operations and Logistics, http://dx.doi.org/10.1080/23302674.2022.2121623

Mondal R; Shaikh AA; Bhunia AK; Hezam IM; Chakrabortty RK, 2022, 'Impact of trapezoidal demand and deteriorating preventing technology in an inventory model in interval uncertainty under backlogging situation', Mathematics, vol. 10, pp. 78 - 78, http://dx.doi.org/10.3390/math10010078

Berrell R; Chakrabortty RK, 2022, 'Improving the availability of Australian hospitals' critical medical devices', IFAC-PapersOnLine, vol. 55, pp. 1278 - 1283, http://dx.doi.org/10.1016/j.ifacol.2022.09.566

McIvor L; Chakrabortty RK, 2022, 'Multi-Criteria Decision Making in A Multi-Method Framework with Application in Capability Acquisition and Enhancement', IFAC-PapersOnLine, vol. 55, pp. 1816 - 1821, http://dx.doi.org/10.1016/j.ifacol.2022.09.662

Jaigirdar SM; Das S; Chowdhury AR; Ahmed S; Chakrabortty RK, 2022, 'Multi-objective multi-echelon distribution planning for perishable goods supply chain: a case study', International Journal of Systems Science: Operations and Logistics, pp. 1 - 19, http://dx.doi.org/10.1080/23302674.2021.2020367

Ali IM; Turan HH; Chakrabortty RK; Elsawah S, 2022, 'Multi-objective-based differential evolution for balancing production cost, diversity and aggregated performance attributes in product family design', Flexible Services and Manufacturing Journal, http://dx.doi.org/10.1007/s10696-022-09480-9

Rahman HF; Chakrabortty RK; Paul SK; Elsawah S, 2022, 'Optimising vaccines supply chains to mitigate the COVID-19 pandemic', International Journal of Systems Science: Operations and Logistics, http://dx.doi.org/10.1080/23302674.2022.2122757

Khalifa NE; Loey M; Chakrabortty RK; Taha MHN, 2022, 'Within the Protection of COVID-19 Spreading: A Face Mask Detection Model Based on the Neutrosophic RGB with Deep Transfer Learning', Neutrosophic Sets and Systems, vol. 50, pp. 320 - 335

Mahmud S; Abbasi A; Chakrabortty RK; Ryan MJ, 2022, 'A self-adaptive hyper-heuristic based multi-objective optimization approach for integrated supply chain scheduling problems', Knowledge-Based Systems, pp. 109190 - 109190, http://dx.doi.org/10.1016/j.knosys.2022.109190

Sorour SE; Abdelkader HE; Sallam KM; Chakrabortty RK; Ryan MJ; Abohany A, 2022, 'An analytical code quality methodology using Latent Dirichlet Allocation and Convolutional Neural Networks', Journal of King Saud University - Computer and Information Sciences, http://dx.doi.org/10.1016/j.jksuci.2022.01.013

Gamal A; Abdel-Basset M; Chakrabortty RK, 2022, 'Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemic', Expert Systems with Applications, pp. 117711 - 117711, http://dx.doi.org/10.1016/j.eswa.2022.117711

Mashud AHM; Miah S; Daryanto Y; Chakrabortty RK; Mahmudul Hasan SM; Tseng M-L, 2022, 'Inventory decisions on the transportation system and carbon emissions under COVID-19 effects: A sensitivity analysis', Computers and Industrial Engineering, pp. 108393 - 108393, http://dx.doi.org/10.1016/j.cie.2022.108393

Ahmed SS; Chakrabortty RK; Essam DL; Ding W, 2022, 'Poly-linear regression with augmented long short term memory neural network: Predicting time series data', Information Sciences, vol. 606, pp. 573 - 600, http://dx.doi.org/10.1016/j.ins.2022.05.078

Mahmud S; Chakrabortty RK; Abbasi A; Ryan MJ, 2022, 'Swarm intelligent based metaheuristics for a bi-objective flexible job shop integrated supply chain scheduling problems', Applied Soft Computing, pp. 108794 - 108794, http://dx.doi.org/10.1016/j.asoc.2022.108794

Rahman MHF; Chakrabortty R; El Sawah S; Ryan M, 2021, 'Energy-Efficient Project Scheduling with Supplier Selection in Manufacturing Projects', Expert Systems with Applications, http://dx.doi.org/10.1016/j.eswa.2021.116446

Sharma A; Sharma A; Malhotra R; Singh P; Chakrabortty RK; Mahajan S; Pandit AK, 2021, 'An accurate artificial intelligence system for the detection of pulmonary and extra pulmonary Tuberculosis', Tuberculosis, vol. 131, pp. 102143 - 102143, http://dx.doi.org/10.1016/j.tube.2021.102143

Raian S; Ali SM; Sarker MR; Sankaranarayanan B; Kabir G; Paul SK; Chakrabortty R, 2021, 'Assessing sustainability risks in the supply chain of the textile industry under uncertainty', Resources, Conservation and Recycling, vol. 177, http://dx.doi.org/10.1016/j.resconrec.2021.105975

Nimmy SF; Hussain OK; Chakrabortty R; Hussain FK; Saberi M, 2021, 'Explainability in Supply Chain Operational Risk Management: A Systematic Literature Review', Knowledge-Based Systems, http://dx.doi.org/10.1016/j.knosys.2021.107587

Adil M; Ansari MF; Alahmadi A; Wu JZ; Chakrabortty RK, 2021, 'Solving the problem of class imbalance in the prediction of hotel cancelations: A hybridized machine learning approach', Processes, vol. 9, pp. 1713 - 1713, http://dx.doi.org/10.3390/pr9101713

Adil M; Wu J-Z; Chakrabortty R; Alahmadi A; Ansari MF; Ryan M, 2021, 'Attention-Based STL-BiLSTM Network to Forecast Tourist Arrival', Processes, vol. 9, http://dx.doi.org/10.3390/pr9101759

Asadujjaman M; Rahman MHF; Chakrabortty RK; Michael JR, 2021, 'A Memetic Algorithm for Concurrent Project Scheduling, Materials Ordering and Suppliers Selection Problem', Procedia Computer Science

Samir AA; Rashwan AR; Sallam K; Chakrabortty R; Ryan M; Abohany AA, 2021, 'Evolutionary Algorithm-based Convolutional Neural Network for Predicting Heart Diseases', Computers and Industrial Engineering, vol. 161, http://dx.doi.org/10.1016/j.cie.2021.107651

Paul S; Moktadir MA; Sallam K; Choi T-M; Chakrabortty R, 2021, 'A Recovery Planning Model for Online Business Operations under the COVID-19 Outbreak', International Journal of Production Research, http://dx.doi.org/10.1080/00207543.2021.1976431

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