Jishnu Mahmud is currently working as a lecturer in the Department of Computer Science and Engineering under the School of Data and Sciences at BRAC University. He completed his undergraduate degree from the Department of Electrical and Electronic Engineering, majoring in Communication and Signal Processing from Bangladesh University of Engineering and Technology. 

He is an enthusiastic researcher in the field of Quantum Machine Learning, specializing in Quantum Image processing. He is currently exploring the development of networks that are Quantum analogous to various machine learning models such as Autoencoders and Transformers. His other academic interest includes wireless communications, especially the optimization of MIMO technologies.

Besides his academic interests, Jishnu is a classical guitarist at the Classical Music Academy of Dhaka. He takes a serious interest in football and can often be spotted to explain why United's treble in ‘98 was more significant than that of City's in '23.

1. Mahmud J., Mashtura, R., Fattah, S.A. et al. "Quantum convolutional neural networks with interaction layers for classification of classical data"~Quantum Machine Intelligence 6, 11 (2024). [{https://doi.org/10.1007/s42484-024-00145-4}{DOI: 10.1007/s42484-024-00145-4}] https://arxiv.org/pdf/2307.11792.pdf

1. R. Mashtura, J. Mahmud, S. A. Fattah and M. Saquib, "A Parallel Quantum Feature Encoding Scheme for Effective Classical Data Classification in Quantum Convolutional Neural Networks," TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON), Chiang Mai, Thailand, 2023, pp. 1-5, [{https://doi.org/10.1109/TENCON58879.2023.10322543}{DOI: 10.1109/TENCON58879.2023.10322543}]