Md Monir Hossain, Tianyu Zhang, Omid Ardakanian, "Identifying grey-box thermal models with Bayesian neural networks", Energy and Buildings, 238, p.110836.
This paper explores various techniques for establishing a suitable thermal model using time series data generated by smart thermostats.
Md Monir Hossain, Mark Sebestyen, Dhruv Mayank, Omid Ardakanian, Hamzeh Khazaei, "Large-scale Data-driven Segmentation of Banking Customers", 2020 IEEE International Conference on Big Data (Big Data), 2020, pp. 4392-4401.
This paper presents a novel big data analytics framework for creating explainable personas for retail and business banking customers.
Md Monir Hossain, Tianyu Zhang, Omid Ardakanian, "Evaluating the Feasibility of Reusing Pre-trained Thermal Models in the Residential Sector", In Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization (UrbSys), 2019.
The goal of this work is to build thermal model at scale.
Md Monir Hossain, Nima Mahmoudi, Changyuan Lin, Hamzeh Khazaei, and Abram Hindle. "Executability of Python Snippets in Stack Overflow." arXiv preprint arXiv:1907.04908 (2019).
Online resources today contain an abundant amount of code snippets for documentation, collaboration, learning, and problem-solving purposes. Their executability in a ‘plug and play’ manner enables us to confirm their quality and use them directly in projects. But, in practice that is often not the case due to several requirements violations or incompleteness. The goal is to analyze these snippets.
Md Monir Hossain, Shuvro Barua, and M. A. Matin. "A pre-feasibility study for electrification in Nijhum Dwip using hybrid renewable technology." In 2015 International Conference on Electrical & Electronic Engineering (ICEEE), pp. 225-228. IEEE, 2015.