Education:
Mr. Md Abu Taher is currently pursuing a Ph.D. in Electrical and Computer Engineering at Florida International University, Miami, FL, USA, with a perfect CGPA of 4.0. His doctoral research focuses on microgrid distributed control and cybersecurity, areas critical to advancing energy security and grid resilience. He is expected to graduate in December 2025. Prior to this, Mr. Taher earned his Bachelor of Science (B.Sc.) degree in Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology (BUET) in June 2008, where he graduated with a CGPA of 3.52 out of 4. His undergraduate studies concentrated on power systems, laying the foundation for his future work in energy systems and renewable energy solutions.
Professional Experience:
Mr. Md Abu Taher has extensive professional experience in the field of electrical engineering and energy systems. From January 2015 to April 2022, he served as a Senior Lead Engineer at Grameenphone BD Ltd, where he played a pivotal role in reducing energy consumption through various optimization techniques. His responsibilities included projecting the annual budget for network expansion and improving power supply resilience by adopting PV-based islanded power supply solutions. Prior to this, he worked as an Associate Engineer at Orascom BD Ltd from June 2008 to December 2014, where he was responsible for estimating total power consumption across the radio network and implementing optimized source selection strategies to reduce energy costs. His professional experience, combined with his academic expertise, has enabled him to make significant contributions to the energy sector, particularly in the areas of power system optimization and renewable energy solutions.
Research Interests:
Mr. Md Abu Taher’s research interests lie at the intersection of renewable energy, microgrid distributed control, and cybersecurity. His Ph.D. work focuses on developing resilient microgrid control systems, addressing the critical issue of energy security. He is particularly interested in analyzing the impact of various cyber-attacks on energy systems, including Distributed Denial-of-Service (DDoS) and False Data Injection (FDI) attacks, and exploring mitigation techniques through advanced machine learning algorithms. Additionally, Mr. Taher is passionate about enhancing the stability and resilience of the U.S. electrical grid, using artificial intelligence (AI) and innovative control strategies to protect distributed energy resources. His research contributes to advancing sustainable energy solutions and fortifying energy infrastructure against disruptions caused by both natural disasters and intentional cyber threats.
Skills:
Mr. Md Abu Taher possesses a diverse skill set that encompasses various aspects of electrical engineering and renewable energy systems. He excels in system design, operation, maintenance, and testing, demonstrating expertise in developing efficient and reliable power delivery systems. Proficient in simulation and modeling, he utilizes advanced software and tools for circuit design and analysis, including MATLAB, ETAP, and OPAL-RT. Mr. Taher also has strong programming skills in Python and expertise in using artificial intelligence techniques for cybersecurity applications. His analytical and problem-solving abilities are complemented by robust project management and organizational skills, enabling him to effectively allocate resources and lead projects. Additionally, he has a proven track record in collaborating with teams, showcasing his leadership and management capabilities in dynamic work environments. This multifaceted skill set positions him well to contribute significantly to innovative energy solutions and research initiatives.
Concution:
Mr. Md Abu Taher’s exceptional combination of academic achievements, publication record, research experience, technical expertise, and industry contributions make him a highly suitable candidate for the Best Researcher Award. His work in renewable energy, microgrid control, and cybersecurity addresses critical challenges in modern power systems, and his innovations have the potential to make a lasting impact on global energy sustainability.
Publication Top Noted:
Reliability analysis of wireless power transfer for electric vehicle charging based on continuous Markov process
- Authors: M. Behnamfar, M.A. Taher, A. Polowsky, S. Roy, M. Tariq, A. Sarwat
- Published In: 2023 Fourth International Symposium on 3D Power Electronics Integration and …
- Citations: 14
- Year: 2023
Analyzing replay attack impact in DC microgrid consensus control: Detection and mitigation by Kalman-filter-based observer
- Authors: M.A. Taher, M. Tariq, M. Behnamfar, A.I. Sarwat
- Published In: IEEE Access
- Citations: 13
- Year: 2023
Analyzing the effects of interference and packet loss on consensus-based secondary control in islanded AC microgrid
- Authors: M.A. Taher, M. Tariq, A.I. Sarwat
- Published In: 2023 IEEE Design Methodologies Conference (DMC), 1-6
- Citations: 7
- Year: 2023
Disruptive effects of denial-of-service (DoS) attacks on microgrid distributed control: Altered communication topology, voltage stability, and accurate power allocation
- Authors: M.A. Taher, H. Iqbal, M. Tariq, A.I. Sarwat
- Published In: 2023 IEEE International Conference on Energy Technologies for Future Grids …
- Citations: 5
- Year: 2023
Long short term memory utilized photovoltaic inverter humidity controller for capacitor reliability enhancement
- Authors: S. Roy, A.S. Khan, M.A. Taher, M. Tariq, A. Sarwat
- Published In: 2023 IEEE International Conference on Energy Technologies for Future Grids …
- Citations: 5
- Year: 2023
False Data Injection Attack Detection and Mitigation using Non-linear Autoregressive Exogenous Input-Based Observers in Distributed Control for DC Microgrid
- Authors: M.A. Taher, M. Behnamfar, A.I. Sarwat, M. Tariq
- Published In: IEEE Open Journal of the Industrial Electronics Society
- Citations: 4
- Year: 2024
Recurrent neural network-based sensor data attacks identification in distributed renewable energy-based DC microgrid
- Authors: M.A. Taher, H. Iqbal, M. Tariq, A.I. Sarwat
- Published In: 2024 IEEE Texas Power and Energy Conference (TPEC), 1-6
- Citations: 4
- Year: 2024
Enhancing security in islanded AC microgrid: Detecting and mitigating FDI attacks in secondary consensus control through AI-based method
- Authors: M.A. Taher, M. Tariq, A.I. Sarwat
- Published In: 2023 IEEE International Conference on Energy Technologies for Future Grids …
- Citations: 4
- Year: 2023
Wavelet and signal analyzer based high-frequency ripple extraction in the context of MPPT algorithm in solar PV systems
- Authors: M.A. Taher, M. Behnamfar, A.I. Sarwat, M. Tariq
- Published In: IEEE Access
- Citations: 3
- Year: 2024