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Jishnu Mahmud

An individual fascinated by the potential of intelligent machines to explore and explain the complexities of the quantum universe.

 jishnu.mahmud@ieee.org

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Curriculum Vitae

About

I am Jishnu Mahmud, a lecturer at BRAC University and a research assistant under Professor Shaikh Anowarul Fattah, PhD, at Bangladesh University of Engineering and Technology (BUET). I earned my BSc in Electrical and Electronic Engineering (EEE) from BUET, specializing in Communication and Signal Processing. I ranked 2nd in my major group and placed in the top 10% across all EEE majors.

My research focuses on quantum information and computation, and I am currently seeking PhD opportunities for Fall 2025 in these areas.

Research Interest

Publications & Preprints

  1. Patch-Based End-to-End Quantum Learning Network for Reduction and Classification of Classical Data Mahmud, J., and Fattah, S.A. arxiv pre-print [PDF].

  2. Quantum convolutional neural networks with interaction layers for classification of classical data Mahmud, J., Mashtura, R., Fattah, S.A. and Saquib, M., 2024. Quantum Machine Intelligence, 6(1), p.11. [PDF]

  3. A Parallel Quantum Feature Encoding Scheme for Effective Classical Data Classification in Quantum Convolutional Neural Networks Mashtura, R., Mahmud, J., Fattah, S.A. and Saquib, M., 2023, October. In TENCON 2023-2023 IEEE Region 10 Conference (TENCON) (pp. 1-5) IEEE.

Current Work

I am working on a research project with Sowmitra Das, a visiting researcher at Imperial College London, on using shadow tomography and classical machine learning to facilitate quantum error mitigation on noisy quantum circuits. We believe that shadow tomography offers tremendous possibilities and hope to show that it can be the answer to developing state-of-the-art error mitigation techniques.

Test Score

  1. TOEFL: 116/120 (Reading: 30/30, Listening: 30/30, Speaking: 27/30, Writing: 29/30)

Education

Work Experience

Talks and Conferences Attended:

Academic achievements

Selected Academic Projects

Here are some of the projects I did during my undergrad. Some were course requirements, some collaborated with friends, and others were to learn a particular topic.

  1. Complete (Transient and Steady State) response of variable multinodal circuits: We designed software to visualize the response of any passive network defined by the user using a developed graphical user interface. The code used Laplace and Fourier Transformations to solve RLC electrical circuits.

  2. Speech-emotion detection- Benchmarking the RAVDESS dataset using convolutional neural networks: I designed a convolutional neural network to classify speech data by emotions. The data was preprocessed by several signal processing techniques, which were used to extract a feature matrix fed to the designed CNN structure to attain competitive results.

  3. Intelligent Traffic Control: We designed an intelligent traffic system sensitive to various parameters such as volume, flow, and human emergencies using sequential logical circuits and finite state machines (FSM).

  4. Biometric Fingerprint Sensor Attendance System with Fever Detection—An IOT-based solution (Microprocessor & Embedded system project): We developed a fingerprint attendance system using NodeMCU and Arduino. We further designed a server running hypertext protocols (HTTP) to request to read and write data to the database once the device was connected to a computer.

  5. Investigating the effects of HVDC connection and large industrial loads in IEEE 39-bus networking using PSAF: We investigated the various types of faults occurring under different loading conditions in a multi-bus power system.

  6. Design of a power system to drive a centrifugal pump for agricultural irrigation: We designed a squirrel cage induction motor controlled by intelligent switches serving as a control system for maintaining optimum water levels required for agricultural irrigation.

Other Interests