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

Posted on by Computer Vision Awards

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

Dr. Salomon Obahoundje | Machine Learning | Best Researcher Award

Posted on by Computer Vision Awards

Dr. Salomon Obahoundje, Machine Learning, Best Researcher Award

Doctorate at International Water Management Institue, Ghana  

Professional Profile

Summary:

Dr. Salomon Obahoundje is a post-doctoral research fellow specializing in digital tools for water management at the International Water Management Institute (IWMI) in Ghana. His expertise lies in assessing renewable energy resources, particularly hydropower, wind, and solar energy, and analyzing the impacts of climate change on these resources. With a strong background in physics, Dr. Obahoundje has conducted extensive research on climate and energy, focusing on West Africa. He has a keen interest in large dataset analysis, machine learning, and climate modeling to inform decision-making processes under deep uncertainty.

👩‍🎓Education:

Dr. Obahoundje holds a Ph.D. in Energy-Climate-Environment from the African Centre of Excellence on Climate Change, Biodiversity, and Sustainable Development (WASCAL/CEA-CCBAD) in Côte d’Ivoire. He completed his Master’s research program in Climate Change and Energy at the West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL) in Niger. He also obtained a Bachelor’s and Master’s degree in Physics Sciences from Abomey-Calavi University in Benin.

 

Professional Experience:

Dr. Obahoundje has a diverse professional experience, including research fellowships, internships, and consultancy roles. He has served as a data scientist at the World Energy & Meteorology Council (WEMC) in the UK, where he worked on energy modeling and climate projections. He has also interned at research institutes such as the Research Institute for Sustainable Development (IRD) in Côte d’Ivoire, focusing on climate downscaling and bias correction data. Additionally, he has collaborated with international organizations like Electricté De France (EDF) and the General Direction of Climate Change in Benin on various climate and energy-related projects.

Research Interests:

Dr. Obahoundje’s research interests revolve around assessing the impacts of climate change on renewable energy resources, particularly hydropower, in West Africa. He specializes in using advanced modeling techniques, such as machine learning and climate models (CMIP5-6, CORDEX), to analyze large datasets and inform climate adaptation and mitigation strategies. His research also focuses on climate information services for the energy and agricultural sectors, aiming to enhance resilience to climate variability and extremes.

Skills:

  • Proficient in English and Malay (both speaking and writing)
  • Experienced in various software including GPS/GNSS processing tools, Microsoft Office, programming languages like MATLAB and Fortran, CAD and GIS software.
  • Capable of handling GPS/GNSS equipment and RFID tools.
  • Possesses strong communication skills, teamwork abilities, and a knack for teaching and training.
  • Demonstrates adaptability, fast learning, and strategic planning capabilities.

Publications Top Noted:

Paper Title: Predicting climate-driven changes in reservoir inflows and hydropower in Côte d’Ivoire using machine learning modeling
  • Authors: Obahoundje, S., Diedhiou, A., Akpoti, K., Ofosu, E.A., Marcel Kouame, D.G.
  • Journal: Energy
  • Volume: 302
  • Pages: 131849
  • Year: 2024
Paper Title: Implication of stratospheric aerosol geoengineering on compound precipitation and temperature extremes in Africa
  • Authors: Obahoundje, S., Nguessan-Bi, V.H., Diedhiou, A., Kravitz, B., Moore, J.C.
  • Journal: Science of the Total Environment
  • Volume: 863
  • Pages: 160806
  • Year: 2023
Paper Title: Modeling climate change impact on inflow and hydropower generation of Nangbeto dam in West Africa using multi-model CORDEX ensemble and ensemble machine learning
  • Authors: Obahoundje, S., Diedhiou, A., Dubus, L., Akpoti, K., Antwi Ofosu, E.
  • Journal: Applied Energy
  • Volume: 325
  • Pages: 119795
  • Year: 2022
Paper Title: Influence of stratospheric aerosol geoengineering on temperature mean and precipitation extremes indices in Africa
  • Authors: Obahoundje, S., N’guessan Bi, V.H., Diedhiou, A., Kravitz, B., Moore, J.C.
  • Journal: International Journal of Climate Change Strategies and Management
  • Volume: 14
  • Issue: 4
  • Pages: 399–423
  • Year: 2022
Paper Title: Analysis of hydroclimatic trends and variability and their impacts on hydropower generation in two river basins in Côte d’Ivoire (West Africa) during 1981-2017
  • Authors: Obahoundje, S., Diedhiou, A., Kouassi, K.L., Roudier, P., Kouame, D.G.M.
  • Journal: Environmental Research Communications
  • Volume: 4
  • Issue: 6
  • Pages: 065001
  • Year: 2022