I am Zabir, a PhD Student in the Computer Science and Engineering department at the University of California, Riverside. Previously, I worked for over six years as a Software Engineer / Machine Learning Engineer, specializing in deep learning, computer vision, and NLP applications, with a focus on developing cost-effective solutions that bridge theory and real-world applications.
My primary research interests center on large language models, information retrieval, and medical AI, with an emphasis on developing scalable and interpretable frameworks.
September, 2024
I began my Ph.D. in the Department of Computer Science at the University of California, Riverside, as a recipient of the Dean's Distinguished Fellowship.
Read moreApril, 2022
Large Language Models in Healthcare and Medical Domain: A Review was accepted and published in Informatics, MDPI, Impact factor: 3.4
Read moreDecember, 2023
I passed the Google Cloud Professional Machine Learning Engineer Certification exam. (Certification)
Read moreFebruary, 2023
I was selected as a fellow @ Fatima Fellowship Program 2023. The Fatima Al-Fihri Predoctoral Fellowship is a nine-month-long research program aimed at individuals contemplating a PhD in machine learning. I'm grateful to be collaborating with Dr. Wei Peng, Stanford University.
Read moreApril, 2022
Fibro-CoSANet: pulmonary fibrosis prognosis prediction using a convolutional self attention network was accepted and published in Physics in Medicine & Biology IOP Science, Impact factor: 4.174
Read moreJanuary, 2021
Brainekt AI Lab received a research grant of $4000 to develop Roadbot - a driving assistance system using computer vision.
Read moreFebruary, 2020
I became one of the recipients of Innovation fund from ICT division, Bangladesh Govt. A research grant of $6000 was approved for the research of brain signal analysis using EEG and machine learning.
Read moreSeptember 9, 2019
My team Diversense got 7th place in Bengali.AI handwritten character recognition challenge.
Read more