Dr. Homeyra Akter
HMA

Biography

PhD in Intelligent Systems with intertest in AI and microgrid optimization

Dr. Homeyra Akter

Assistant Professor

Citations 213
Qualifications
PhD
Phone 01329520256
Email
Serving UAP Since July 2024
564 days : 8hr : 53min (1 yr 6 month)
Total Publications 8
Q1 Publications 3
Last 2 Years 0

Optimal sizing and performance analysis of hybrid microgrid for remote island of developing country: Effect of sustainable parameters, benefits and installation barriers

2024
None Q3

A short assessment of renewable energy for optimal sizing of 100% renewable energy based microgrids in remote islands of developing countries: A case study in Bangladesh

2022
None Q1

Optimal sizing and techno-economic analysis of grid-independent hybrid energy system for sustained rural electrification in developing countries: A case study in Bangladesh

2022
None Q1

Optimal sizing and operation of microgrid in a small island considering advanced direct load control and low carbon emission

2021
None Not Indexed

Optimal sizing of hybrid microgrid in a remote island considering advanced direct load control for demand response and low carbon emission

2021
None Q1

An Optimal Techno-Economic Assessment under Transactive Energy Framework

2020
None Not Indexed

Optimal sizing and operation for microgrid with renewable energy considering two types demand response

2020
None Q3

Independent Energy Storage Systems can Minimize Uncertainty of Profit for Retailers in ISO Market

2019
None Not Indexed

Curriculum Vitae

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She is a full-time faculty member at the University of Asia Pacific (UAP) with a strong academic and research background in Interdisciplinary Intelligent Systems Engineering.


Academic Background

  • PhD in Interdisciplinary Intelligent Systems Engineering
    University of the Ryukyus, Japan

  • MSc in Engineering
    University of the Ryukyus, Japan

  • BSc in Engineering
    University of Asia Pacific (UAP)

  • Recipient of the prestigious MEXT Scholarship for graduate studies in Japan


Areas of Expertise

  • Microgrid Optimization

  • Smart Energy Systems

  • Machine Learning

  • Artificial Intelligence

  • Cross-disciplinary Optimization Techniques


Research Interests

Her research focuses on advancing smart and sustainable energy systems by integrating artificial intelligence, machine learning, and optimization methods. She emphasizes cross-disciplinary approaches to improve efficiency, reliability, and intelligence in modern power and microgrid systems.


Professional Role

  • Full-time Faculty Member, University of Asia Pacific (UAP)

  • Actively involved in teaching, research, and academic development in engineering and intelligent systems

No routine information available.

No educational qualification information available.

No course information available.