Dr. Zabir Ahmed
Assistant Professor
Department of Electrical and Electronic Engineering (EEE)
Bangladesh University of Engineering and Technology (BUET)
Embedded Files
Dr. Zabir Ahmed is an Assistant Professor in the Department of Electrical and Electronic Engineering at Bangladesh University of Engineering and Technology (BUET). He earned his B.Sc. and M.Sc. in Electrical and Electronic Engineering from BUET, followed by a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University. His doctoral research focused on developing graphene-integrated electro-optic sensors for ultra-sensitive, multiplexed neural recording and developing novel manufacturing process for monolithically microfabricated stainless steel neural probes for high-resolution electrophysiology in non-human primates.
Dr. Ahmed’s exceptional work has been recognized with several prestigious awards, including the A.G. Milnes Award for Outstanding PhD Thesis (CMU ECE, 2024), the James Sprague Presidential Fellowship (2022), the Trainee Highlight Award at the 2021 Brain Initiative Investigator's Meeting, and the Carnegie Institute of Technology Dean’s Fellowship.
His future research endeavors aim to expand his work in optical biosensing and neural interface technologies by merging advances in nanophotonics and plasmonics with innovative neural recording methods. He also aims to explore novel electrochemical sensing strategies to drive forward a range of biosensing and wearables applications.
Detailed list of publications can be found in Google Scholar
Research Interests
Neural and Biomedical Interfaces
Integrated Silicon Photonics
Nanobiophotonics
Nanophotonics and Plasmonics
Photonic Computing
Research Projects
Ultra-sensitive electro-optic sensor for sub-mV neural signal detection
Ultra-sensitive electro-optic sensor for sub-mV neural signal detection
This project introduces a novel electro-optic sensor designed to overcome current limitations in large-scale neural recording. By integrating a silicon photonic microresonator with a graphene layer, the sensor directly converts ultra-low-amplitude neural signals into optical signals, detecting activity as small as 25 μV. Its high input impedance ensures precise, localized recording, while its compatibility with wavelength division multiplexing allows multiple sensors to share a single optical channel. This breakthrough paves the way for scalable, high-resolution neural interfaces that can capture the intricate dynamics of brain circuits, ultimately advancing our understanding of neural information processing.
Information regarding other exciting research projects are soon to follow...
[This website is still a work in progress. Details about my research group members and past and current projects will be added soon. ]
Page updated
Google Sites
Report abuse