Hello World!

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.

News

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.

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April, 2022

Large Language Models in Healthcare and Medical Domain: A Review was accepted and published in Informatics, MDPI, Impact factor: 3.4

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December, 2023

I passed the Google Cloud Professional Machine Learning Engineer Certification exam. (Certification)

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February, 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.

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April, 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

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January, 2021

Brainekt AI Lab received a research grant of $4000 to develop Roadbot - a driving assistance system using computer vision.

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February, 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.

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September 9, 2019

My team Diversense got 7th place in Bengali.AI handwritten character recognition challenge.

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