Research Interests

As a PhD student at the University of Florida, I focus on developing advanced deep learning models tailored for various brain imaging modalities, including MRI, and PET data. My research aims to unravel the complexities of neurodegenerative diseases such as Alzheimer's disease, Lewy body dementia, and Parkinson's disease. I have worked extensively with large databases and implemented diverse preprocessing techniques using classical tools like FreeSurfer alongside cutting-edge machine learning methods. In addition to image processing, I am interested to develop large language model (LLM)-based models for speech decoding using MEG signal data.  

 In addition to my involvement with Dr. Babajani’s lab, I am part of the Data Informatics of Systems Improvement and DEsign (DESIDE) lab within the Industrial and Systems Engineering department at the University of Florida. My work there focuses on advancing tensor decomposition-based methodologies to model and monitor dynamic multilayer network systems characterized by heterogeneous and high-dimensional data. So far, this has involved the development of a novel algorithm for the efficient decomposition and analysis of temporal and structural patterns across multiple network layers, enabling enhanced insights and predictive capabilities in system dynamics. 

Degree

B.S. Industrial Engineering, Amirkabir University of Tech. (Tehran Polytechnic), Tehran, Iran, 2020 

Professional Background

• President at INFORMS Student Chapter, University of Florida, May. 2023 - Apr. 2024 

• Master’s Representative in the ISE Graduate Student Organization Aug. 2021 - Jul. 2022 

• Team Lead, MRI and PET Image Data Processing, University of Florida (2023 - Present) 

• Led a team of 10 talented Industrial Engineering students at the University of Florida for the processing of MRI and PET data and the development of machine learning models for different tasks including neurodegenerative disease classification and brain age prediction, contributing to advancements in medical imaging and AI 

• Data Scientist at Amadeh Laziz, Tehran, Iran, Sep. 2020 - Jul. 2021 

• Developed prediction systems and machine learning algorithms, along with business solutions and strategies to address the company’s challenges 

• Data Analyst Intern at Amadeh Laziz, Summer 2019 

• Managed data collection, storage, and cleaning processes, and conducted analyses to derive actionable insights. Presented trends, patterns, and forecasts to management based on relevant data. 

Honors and Awards

• Received Graduate Student Fellowship, University of Florida, 2021 

• Received Fellowship Award for Undergraduate Program, Amirkabir University of Tech, 2016 

• Ranked 639 among more than 350,000 participants in the Iranian National Universities Entrance, 2016 

• Ranked 1st in the Entrance Exam among 120 students of Industrial Engineering department, 2016 

Publications

Journal articles (Under Review) 

1. B. Ahmadi, S. Mankad, M. Reisi Gahrooei, “Change Detection in Stream of Multilayer Networks”, Under review. 

Conference papers & abstracts 

1. B. Ahmadi, Z. Morshedizad, M. Reisi Gahrooei, and A. Babajani-Feremi, “Exploring Dementia with Lewy Bodies through Deep Learning: Insights from structural MRI Data,” The annual meeting of the society for neuroscience (SFN), Chicago, October 5–9, 2024. 

2. B. Ahmadi, Z. Morshedizad, M. Reisi Gahrooei, and A. Babajani-Feremi, “Advanced brain age prediction using 3D CNN on structural MRI”, Alzheimer’s Association International Conference (AAIC), Philadelphia, July 27–Aug 1, 2024. 

3. B. Ahmadi, M. Reisi Gahrooei, “Change detection in Dynamic Multilayer Networks using Tensor Decomposition methods”, Institute for Operations Research and the Management Sciences (INFORMS) annual meeting, Phoenix, October 15–18, 2023. 

Hobbies

• Playing musical instrument 

• Table Tennis (Ping-Pong) 

• Running 

• Gym