Avan KUMAR
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Walton Center Planetary Health Tempe, AZ 85821
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Mail code: 7904Campus: Tempe
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Avan Kumar is a postdoc scholar at the School of Sustainability at Arizona State University. He holds a doctoral degree in chemical engineering from the Indian Institute of Technology Delhi (IIT Delhi) in 2024. His expertise is in developing frameworks using machine learning, deep learning, natural language processing, and optimization tools, and these are well aligned to develop a sustainable environment and processes. He also has expertise in data-driven modeling for chemical processes and developing text-mining frameworks to retrieve information from chemical literature. Currently, he is working in the fields of generative artificial intelligence (GenAI) and large language models (LLMs), such as BERT, GPT, LLAMA-2, and LLAMA-3. The developed models will help mine the literature and related textual data to extract knowledge about the processes and products for recycling, circularity, sustainability, technologies, and others. He is also working on a sustainable product and reaction network design that would help achieve net-zero emissions, a sustainable environment, and high circularity in daily-use products.
2024 Ph.D. Indian Institute of Technology Delhi, Delhi (IIT Delhi)
2019 M.Tech. Indian Institute of Technology BHU, Varanasi (IIT BHU)
2017 B.Tech. Delhi Technological University, Delhi (DTU, formerly DCE)
Sustainable Process Development, Circular Economy, Process and Product Design, Generative AI, Large Language Models (LLMs), Application of ML/DL
- Jami, Harshitha, Pushp Singh, Avan Kumar, Bhavik R. Bakshi, Manojkumar Ramteke, and Hariprasad Kodamana. “CCU-Llama: a knowledge extraction LLM for carbon capture and utilization by mining scientific literature data.” Industrial & Engineering Chemistry Research (2024).
- Kumar, Avan and Hariprasad Kodamana. " Process Modeling and Optimal Evaluation Analysis for Direct CO2 Conversion to Methanol." In Comprehensive Methanol Science, MTHL, DOI: https://doi.org/10.1016/B978-0-443-15740-0.00113-0
- Kundu, Kaushik, Avan Kumar, Hariprasad Kodamana, and Kamal K. Pant. "Obtaining high H2-rich syngas yield and carbon conversion efficiency from biomass gasification: From characterization to process optimization using machine learning with experimental validation." Fuel 378 (2024): 132931. DOI: 10.1016/j.fuel.2024.132931
- Kumar, Avan, Bhavik R. Bakshi, Manojkumar Ramteke, and Hariprasad Kodamana. "Recycle-BERT: extracting knowledge about plastic waste recycling by natural language processing." ACS Sustainable Chemistry & Engineering 11, no. 32 (2023): 12123-12134. DOI: 10.1021/acssuschemeng.3c03162
- Kumar, Avan, Sreedevi Upadhyayula, and Hariprasad Kodamana. "A Convolutional Neural Network-based gradient boosting framework for prediction of the band gap of photo-active catalysts." Digital Chemical Engineering 8 (2023): 100109. DOI: 10.1016/j.dche.2023.100109
- Kumar, Avan, and Hariprasad Kodamana. "An NLP-based framework for extracting the catalysts involved in Hydrogen production from scientific literature." In Computer Aided Chemical Engineering, vol. 52, pp. 1457-1462. Elsevier, 2023. DOI: 10.1016/B978-0-443-15274-0.50232-8
- Kumar, Avan, Kamal K. Pant, Sreedevi Upadhyayula, and Hariprasad Kodamana. "Multiobjective Bayesian optimization framework for the synthesis of methanol from syngas using interpretable Gaussian process models." ACS omega 8, no. 1 (2022): 410-421. DOI: 10.1021/acsomega.2c04919
- Kumar, Avan, Swathi Ganesh, Divyanshi Gupta, and Hariprasad Kodamana. "A text mining framework for screening catalysts and critical process parameters from scientific literature-A study on Hydrogen production from alcohol." Chemical Engineering Research and Design 184 (2022): 90-102. DOI: 10.1016/j.cherd.2022.05.018
- Singh, Juhi, Avan Kumar, Anubha Jaiswal, Swati Suman, and Ravi P. Jaiswal. "Luminescent down-shifting natural dyes to enhance photovoltaic efficiency of multicrystalline silicon solar module." Solar Energy 206 (2020): 353-364. DOI: 10.1016/j.solener.2020.05.067