Niaz Chowdhury

I am a PhD student in the Chemical and Biomolecular Engineering department at the University of Nebraska-Lincoln (UNL). Earlier, I earned my bachelor's degree in Chemical Engineering from Bangladesh University of Engineering and Technology (Dhaka, Bangladesh) and my master's degree in Chemical Engineering from Queen's University (Kingston, Ontario, Canada). I am also a licensed professional engineer (P.Eng.) within the province of Ontario, Canada, and have 5 years of hands-on process engineering experience in natural gas processing, wastewater treatment, and sugar refining industry.

During my masters at Queen's University, I worked on different avenues of two-stage stochastic programming, relevant to the industrial supply chain optimization problems. I combined the classical scenario formulation and the classical robust optimization to propose a novel robust scenario optimization formulation. I successfully developed a protocol to address the general p-norm bounded uncertainty and data-driven uncertainty in the context of robust scenario optimization formulation. Later, I implemented a Generalized Benders Decomposition (GBD) algorithm to systematically decompose computationally expensive non-linear industrial optimization problems for an efficient solution strategy.   

At SSBio lab I hope to implement my mathematical programming skills in developing a metabolic and expression (ME) model which will represent an improved metabolism and gene expression profiles of  Rhodopseudomonas palustris.

Outside the world of chemical engineering, I am a sports enthusiast and have regularly played in different semi-professional cricket leagues in Ontario, Canada. I also love to travel to enrich my cultural experience.

Please connect with me through my LinkedIn Profile. You can also check my current research activities on google scholar.

Publications:

1. Chowdhury, N. B., Alsiyabi, A., and Saha, R., "Characterizing the interplay of rubisco and nitrogenase enzymes in anaerobic-photoheterotrophically grown Rhodopseudomonas palustris CGA009 through a genome-scale metabolic and expression model", Microbiology Spectrum, https://doi.org/10.1128/spectrum.01463-22, (2022).
2. Chowdhury, N. B., Schroeder, W., Sarkar, D., Amiour, N., Quilleré, I., Hirel, B., Costas, C. D., and Saha, R., "Dissecting the Metabolic Reprogramming of Maize Root under Nitrogen Limiting Stress Condition", Journal of Experimental Botany, doi: https://doi.org/10.1093/jxb/erab435, (2021).
3. Alsiyabi, A., Chowdhury, N.B., Long, D.S., and Saha, R., "Enhancing in silico strain design predictions through next generation metabolic modeling approaches", Biotechnology Advances, doi: https://doi.org/10.1016/j.biotechadv.2021.107806, (2021).
4. Kumar, N., Chowdhury, N.B., and Beltran, J. G., "A 3-in-1 Approach to Evaluate Gas Hydrate Inhibitors", Energies, doi: https://doi.org/10.3390/en12152921, (2019).