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
