AI/ML enable new pathways for materials and process design
Embedded Files
Publications
Publications
8
Conferences
Conferences
4
Ongoing Projects
Ongoing Projects
1
News Highlights
News Highlights
A fantastic way to end the year! 🎄 My first-author paper, which uses machine learning to explore how energy storage technologies can help Nigeria reduce carbon emissions, has been published in Renewable Energy Focus. 🎉
Great news! My conference presentation on using machine learning techniques to discover novel battery electrolytes, developed during my internship with researchers at the University of Chicago, has been published in IEEE Explore.
My undergraduate thesis has been published in Bioresource Technology Reports. Cheers!
My collaborative research on optimizing enzyme recovery from a genetically modified microorganism, conducted alongside talented researchers from across Nigeria, has been published in Biocatalysis and Agricultural Biotechnology. Cheers!
Thrilled to take on a new role as a co-reviewer at the Bioresources Valorization Laboratory, University of Benin.
About Me
About Me
Stanley is a research assistant in the Bioresources Valorization Laboratory, where he collaborates closely with Professor Andrew Amenaghawon to discover novel materials and optimize processes for converting locally sourced waste into fuels and chemicals. He previously interned at the University of Chicago's Pritzker School of Molecular Engineering in the Amanchukwu Lab, focusing on using machine learning to discover novel energy materials. Stanley's academic journey has provided him with extensive experience across both industry and academia. He is passionate about leveraging machine learning and data science to address complex challenges, with a strong commitment to advancing knowledge and finding real-world solutions.
Outside research, Stanley is the founder of ChE Archive, an initiative through which he seeks to promote the study of chemical engineering in Nigeria.
Selected Publications
Selected Publications
Stanley Aimhanesi Eshiemogie, Peace Precious Aielumoh, Tobechukwu Okamkpa, Miracle Chinonso Jude, Lois Efe, Andrew Nosakhare Amenaghawon, Handoko Darmokoesoemo, Heri Septya Kusuma, "A machine learning-supported framework for predicting Nigeria’s optimal energy storage and emission reduction potentials." Renewable Energy Focus, 53, 100677. Link
Stanley Aimhanesi Eshiemogie, Ritesh Kumar, Chibueze V. Amanchukwu, "Data Preprocessing and Machine Learning Modelling for Battery Electrolyte Discovery," 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG), Omu-Aran, Nigeria, 2024. Link
Andrew Nosakhare Amenaghawon, Melissa Osagbemwenorhue Omede, Glory Odoekpen Ogbebor, Stanley Aimhanesi Eshiemogie. (2024). "Optimized biodiesel synthesis from an optimally formulated ternary feedstock blend via machine learning-informed methanolysis using a composite biobased catalyst." Bioresource Technology Reports, 25, 101805. Link
Steve Oshiokhai Eshiemogie, Joshua O. Ighalo, Michael Adekanbi, Titilope Banji, Stanley Aimhanesi Eshiemogie, Raymond Okoh, Chinenye Adaobi Igwegbe, Adewale George Adeniyi, Adedapo O. Adeola & Kanika Dulta (2023). "Current Effect and Projected Implications of Climate Change on Nigeria’s Sustainable Development Plan". Springer Climate, 1–17. Link
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