Rafiad Sadat Shahir serves as a Lecturer in the Computer Science and Engineering Department within the School of Data and Sciences at BRAC University. He holds a B.Sc. in Computer Science and Engineering from BRAC University and is presently pursuing an M.Sc. in Computer Science and Engineering at the same institution. His research interests encompass brain-inspired artificial intelligence, spiking neural networks, and quantum neural networks.

Preprint:

1. Shahir, R. S., Humayun, Z., Tamim, M. A., Saha, S., & Alam, M. G. R. (2023). Connected Hidden Neurons (CHNNet): An Artificial Neural Network for Rapid Convergence. arXiv preprint arXiv:2305.10468.
2. Tomal, S. M., Shafin, A. A., Bhattacharjee, D., Amin, M. D., & Shahir, R. S. (2025). Quantum-Enhanced Attention Mechanism in NLP: A Hybrid Classical-Quantum Approach. arXiv preprint arXiv:2501.15630.

• MSc in Computer Science and Engineering (CSE), 2025-Present, BRAC University, Bangladesh.
• BSc in Computer Science and Engineering (CSE), (2024), BRAC University, Bangladesh.
• Higher Secondary Certificate (HSC), 2019, Barishal Cadet College, Bangladesh.

• Lecturer, May 2024-Present, BRAC University, Bangladesh.
• Adjunct Lecturer, January 2024-May 2024, BRAC University, Bangladesh.
• Undergraduate Teaching Assistant, June 2022-December 2023, BRAC University, Bangladesh.

• Brain-Inspired AI
• Spiking Neural Networks
• Quantum Neural Networks