MD AZIZUL HOQUE

About

Master’s candidate and research associate in Universiti Putra Malaysia. Currently, I am focused on energy storage systems, electric vehicles, EV charging systems, lithium-ion battery lifetime prediction and health prognosis, artificial intelligence, cyber security, machine learning, and algorithm development in order to solve real-world problems.

Scopus Author ID: 58117449500
Orcid: https://orcid.org/0000-0002-2044-0041
Web of Science ResearcherID: HMV-4705-2023

Employment

• RoboSmart Project Development Engineer
  2023 - Present
• Universiti Putra Malaysia Graduate Research Assistant
  2023 - 2024

Education

• Universiti Putra Malaysia Master of Science (Control System Engineering)
  2023 - 2025
• Universiti Putra Malaysia Bachelor (Hons)
  2019 - 2023
• Infrastructure University Kuala Lumpur Diploma
  2014 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Integrated spatial-temporal feature alignment with graph convolutional and gated recurrent networks for traffic flow prediction
  PLOS One 2026 DOI: 10.1371/journal.pone.0337661
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• Prognosis Of Lithium-Ion Battery Health with Hybrid EKF-CNN+LSTM Model Using Differential Capacity
  2025
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• Prognosis Of Lithium-Ion Battery Health with Hybrid EKF-CNN+LSTM Model Using Differential Capacity
  2025 DOI: 10.48550/ARXIV.2504.13956
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• Investigation of Loading Variation Effect on Lithium Iron Phosphate Battery Electrodes Using Long Short Term Memory
  2023 IEEE 21st Student Conference on Research and Development (SCOReD) 2023 DOI: 10.1109/scored60679.2023.10563360
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• Investigation of Battery Energy Storage System (BESS) during Loading Variation
  Journal of Advanced Research in Applied Mechanics 2023 DOI: 10.37934/aram.110.1.8696
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• Characteristics of Li-Ion Battery at Accelerated C-Rate with Deep Learning Method
  Arabian Journal for Science and Engineering 2023 DOI: 10.1007/S13369-023-08034-X
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• Lithium Iron Phosphate (LiFePo4) Batteries Health Prognosis via Plateau Identification during High-Rate Charging and Discharging
  ICSET 2023 - 2023 IEEE 13th International Conference on System Engineering and Technology, Proceeding 2023 DOI: 10.1109/ICSET59111.2023.10295097
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• Neural Network-Based Li-Ion Battery Aging Model at Accelerated C-Rate
  Batteries 2023 DOI: 10.3390/BATTERIES9020093
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