Prof. Dr. Nur Mohammad

About

Prof. Dr. Nur Mohammad (St. M 2015, with IEEE) received Ph.D. (2018) degree from Queensland University of Technology (QUT). He received the B.Sc. (in 2008) and M.Sc. (2014), both the degree in electrical and electronic engineering. He has been working with Chittagong University of Engineering and Technology (CUET) as an academic faculty since 2009. His current research interests include electricity market model for a future smart grid, renewable energy integration, frequency and voltage regulation, power system economics, demand-side management, energy storage management, auction-based demand response mechanism design, bi-level optimization, network optimization, game theory.

Employment

• Chittagong University of Engineering & Technology Head/Chairman
  2026 - Present
• Chittagong University of Engineering & Technology Head
  2023 - Present
• Chittagong University of Engineering & Technology Professor
  2021 - Present
• Dr. Qudrat E Quhda Hall, CUET Provost
  2020 - Present
• Chittagong University of Engineering & Technology Associate Professor
  2019 - Present
• Chittagong University of Engineering and Technology (CUET) Executive member
  2012 - 2014
• Chittagong University of Engineering and Technology (CUET) Assistant Professor
  2011 - Present
• Chittagong University of Engineering and Technology (CUET) Lecturer
  2008 - 2011

Education

• Queensland University of Technology (QUT) PhD/Doctoral Researcher
  2014 - 2018
• Chittagong University of Engineering and Technology (CUET) M.Sc. in Electrical and Electronic Engineering
  2012 - 2014
• Rajshahi University of Engineering and Technology (RUET) B.Sc. in Electrical and Electronic Engineering
  2004 - 2008
• Notre Dame College (NDC) Intermediate Grade 11-12
  2001 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (49)

• Reassessment of an institutional power distribution network through transformer consolidation: A case study
  Electric Power Systems Research 2027 DOI: 10.1016/j.epsr.2026.113855
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• Investigating learning-based and evolutionary optimization for vehicle-to-grid enabled emerging power systems
  Energy Conversion and Management: X 2026 DOI: 10.1016/j.ecmx.2026.102211
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• Enhanced maximum power point tracking for photovoltaic systems: A Modified African Vulture Optimization (MAVO) algorithm approach
  Energy Reports 2026 DOI: 10.1016/j.egyr.2026.109229
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• Profitable integration of electric vehicle charging stations in power grids
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.109419
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• Operation Optimization of Virtual Power Plants for Coordinated Electric Vehicles Fleet Under Spatio‐Temporal Arbitrage Prices
  International Journal of Energy Research 2026 DOI: 10.1155/er/4875472
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• Energy storage scheduling considering day-ahead time of use pricing to minimize electricity consumption cost of prosumer
  Journal of Energy Storage 2025 DOI: 10.1016/j.est.2025.115613
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• A Critical Investigation Into Extra‐High Voltage Transmission Line: Bangladesh Perspective
  International Transactions on Electrical Energy Systems 2025 DOI: 10.1155/etep/2519875
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• Estimation and Reduction of CO₂ Emissions From Fossil Fuel Power Plants in Bangladesh
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3586553
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• Metaheuristic algorithms for elevator group control system: a holistic review
  Soft Computing 2023 DOI: 10.1007/s00500-023-08843-0
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• Performance Analysis of Particle Swarm Optimization and Genetic Algorithm in Energy-Saving Elevator Group Control System
  2022 DOI: 10.1007/978-981-16-6636-0_38
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