Computer Science and Engineering

Prof. Dr. Md. Shahriar Mahbub

Research Interests

Educational Background

• Ph.D, (Information and Communication Technology), University of Trento, Italy
• Master of Science (MSc), (Advanced Computing Systems), Lucian Blaga university of Sibiu, Romania
• Bachelor of Science (BSc), (Computer Science and Engineering), Ahsanullah university of science and Technology

Honors and Achievements

Publications

1. Multi-objective optimization of an energy community: an integrated and dynamic approach for full decarbonisation in the European Alps, International Journal of Sustainable Energy Planning and Management, 2023. URL
2. Cricketer’s tournament-wise performance prediction and squad selection using machine learning and multi-objective optimization, Applied Soft Computing, 2022, Elsevier. URL
3. A multi-objective optimization approach in defining the decarbonization strategy of a refinery, Smart Energy, 2022, Elsevier. URL
4. A Multi-Objective Optimization Approach for Solving AUST Classtimetable Problem Considering Hard and Soft Constraints, International Journal of Mathematical Sciences and Computing(IJMSC), 2020, MECS Journal. URL
5. Integrated and dynamic energy modelling of a regional system: A cost-optimized approach in the deep decarbonisation of the Province of Trento (Italy), Energy, 2020, Elsevier. URL
6. Energy efficiency and sustainability assessment of about 500 small and medium-sized enterprises in Central Europe region, Energy Policy, 2017, Elsevier. URL
7. An innovative multi-objective optimization approach for long-term energy planning, Applied Energy, 2017, Elsevier. URL
8. Incorporating domain knowledge into the optimization of energy systems, Applied Soft Computing, 2016, Elsevier. URL
9. Combining multi-objective evolutionary algorithms and descriptive analytical modelling in energy scenario design, Applied Energy, 2016, Elsevier. URL
10. Designing optimized energy scenarios for an Italian Alpine valley: the case of Giudicarie Esteriori, Energy, 2016, Elsevier. URL
11. Developing domain-knowledge evolutionary algorithms for network-on-chip application mapping, Microprocessors and Microsystems, 2013, Elsevier. URL

1. Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks, 5th International Conference on Natural Language Processing (ICNLP), 2023. URL
2. Decentralizing and Optimizing Nation-Wide Employee Allocation While Simultaneously Maximizing Employee Satisfaction, International Conference on Optimization and Learning, 2022, Sprnger. URL

1. Soft Constraints Handling for Multi-objective Optimization, 2021, Springer, Singapore. URL
2. A comparative study on constraint handling techniques of NSGAII, 2020. URL
3. Development of innovative tools for multi-objective optimization of energy systems, 2017. URL
4. Multi-objective optimisation with multiple preferred regions, 2017. URL
5. Improving robustness of stopping multi-objective evolutionary algorithms by simultaneously monitoring objective and decision space, 2015. URL
6. Isolating significant phrases in common natural language queries to databases, 2008. URL