Mr. Adamu Abubakar Sani | Machine Learning | Best Researcher Award

Mr. Adamu Abubakar Sani | Machine Learning | Best Researcher Award

Adamu Abubakar Sani at Universiti Teknologi PETRONAS, Malaysia

👨‍🎓 Profiles

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Publications

A Multi-level Classification Model for Corrosion defects in Oil and Gas Pipelines Using Meta-Learner Ensemble (MLE) Techniques

  • Authors: Adamu Sani Abubakar, Mohamed Mubarak Abdul Wahab, Nasir Shafiq, Kamaludden Usman, Nasir Khan, Adamu Tafida, Arsalan Khan
  • Journal: Journal of Pipeline Science and Engineering
  • Year: 2024

A Review of Eco-Friendly Road Infrastructure Innovations for Sustainable Transportation

  • Authors: Adamu Tafida, Wesam Salah Alaloul, Noor Amila Bt Wan Zawawi, Muhammad Ali Musarat, Adamu Sani Abubakar
  • Journal: Infrastructures
  • Year: 2024

Design and modeling the compressive strength of high-performance concrete with silica fume: a soft computing approach

  • Authors: Abiola Usman Adebanjo, Nasir Shafiq, Siti Nooriza Abd Razak, Vicky Kumar, Syed Ahmad Farhan, Priyanka Singh, Adamu Sanni Abubakar
  • Journal: Soft Computing
  • Year: 2024

Systematic Literature Review and Scientometric Analysis on the Advancements in Electrically Conductive Asphalt Technology for Smart and Sustainable Pavements

  • Authors: Arsalaan Khan Yousafzai, Muslich Hartadi Sutanto, Muhammad Imran Khan, Nura Shehu Aliyu Yaro, Abdullah O Baarimah, Nasir Khan, Abdul Muhaimin Memon, Adamu Sani Abubakar
  • Journal: Transportation Research Record
  • Year: 2024

Integrating Life Cycle Cost Analysis into Pipeline Asset Integrity Management: A Comprehensive Approach in Decision Support Systems

  • Authors: Adamu Sani Abubakar, Mohamed Mubarak Bin Abdul Wahab, Nasir Shafiq, Kamaluddeen U Danyaro, Abiola Usman Adebanjo
  • Journal: Journal of Hunan University Natural Sciences
  • Year: 2024

Dr. Na Yi | Deep Metric Learning | Best Researcher Award

Dr. Na Yi | Deep Metric Learning | Best Researcher Award

Doctorate at Heilongjiang University of Science and Technology, China

Profiles

Scopus

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Academic Background

Dr. Na Yi, born in June 1997 in Acheng, Harbin, is an Associate Professor and a committed member of the Communist Party of China. With a strong academic foundation in Electrical Engineering and Automation, she has quickly risen as a prominent figure in the field of Petroleum and Natural Gas Engineering.

Education

Dr. Na Yi graduated with a degree in Electrical Engineering and Automation from Northeast Petroleum University in 2019. She was subsequently recommended for a doctoral program in Petroleum and Natural Gas Engineering, during which she also studied at Southeast University, earning her doctorate in 2024.

Professional Experience

Throughout her career, Dr. Na Yi has published over 20 research papers in esteemed journals, with 10 SCI-indexed and 5 EI-indexed papers, including highly cited and hot papers. She holds 6 national patents and has participated in 5 significant scientific research projects. Her achievements have earned her more than 10 national and provincial awards.

Research Interests

Dr. Na Yi’s research interests lie in Petroleum Engineering, with a focus on sustainable energy, power systems, and technological innovation. She is an active reviewer for multiple international and Chinese academic journals and has been invited to present her research at several international and domestic conferences.

 Publications

A multi-stage low-cost false data injection attack method for power CPS

  • Authors: Yi, N., Xu, J., Chen, Y., Pan, F.
  • Journal: Zhejiang Electric Power
  • Year: 2023
A New Distributed Power Supply for Distribution Network Considering SOP Access
  • Authors: Peng, C., Xu, J., Zhao, S., Yi, N.
  • Year: 2023
Multi-stage coordinated cyber-physical topology attack method based on deep reinforcement learning
  • Authors: Yi, N., Xu, J., Chen, Y., Sun, D.
  • Journal: Electric Power Engineering Technology
  • Year: 2023
A multi-stage game model for the false data injection attack from attacker’s perspective
  • Authors: Yi, N., Wang, Q., Yan, L., Tang, Y., Xu, J.
  • Journal: Sustainable Energy, Grids and Networks
  • Year: 2021
Insulator Self-Explosion Defect Detection Based on Hierarchical Multi-Task Deep Learning
  • Authors: Xu, J., Huang, L., Yan, L., Yi, N.
  • Journal: Diangong Jishu Xuebao/Transactions of China Electrotechnical Society
  • Year: 2021