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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Recorder Box: A Recording and Footage-Handling Device for video data collection
Published:
Recorder Box is a Linux-based DVR/NVR replacement for multi-camera video recording, storage, and footage management, built for field data collection in demanding environments like animal research facilities.
Simulator Robot: An Object Simulator and Ground-Truth Data Collector for CV Analysis Validation & Calibration
Published:
A small AprilTag-guided ground rover that stands in for objects moving on the ground, giving inch-level ground-truth movement data to calibrate cameras and validate extracted CV kinematics information.
slidesMerge Update: Config-Driven Parameters, Manual CC Selection, and Better Diagnostics
Published:
An update to slidesMerge, the open-source microscopy slide alignment and OME-TIFF fusion pipeline, adding config-driven parameters, manual channel selection, and better diagnostics.
Patient Co-Pilot v2: Multi-AI, Apple Health Monitoring, Source-grounded ChatBot
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Patient Co-Pilot v2 adds multi-AI support, Apple Health monitoring, and a source-grounded chatbot to help patients track, understand, and prepare for their care.
Patient Co-Pilot: Helping Patients Navigate Complex Care with Confidence
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Patient Co-Pilot is a mobile app that helps patients organize medical records, prepare for clinical visits, and get source-grounded answers about their own care.
Paper Accepted at AIR-RES 2026
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I am pleased to share that our paper has been accepted at the 2026 International Conference on the AI Revolution: Research, Ethics, and Society (AIR-RES 2026) for both publication in the proceedings and conference presentation.
ReadingOverlayTool: A Swift macOS Reading Line Overlay for PDFs
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ReadingOverlayTool is a free, open-source Swift app for macOS that overlays an adjustable reading line on PDFs to reduce eye strain during long reading sessions.
Honored to Receive the 2026 POOIA Student Scholarship Award for Cancer Research
Published:
I am grateful to share that I earned the 2026 POOIA Student Scholarship Award.
Started a Graduate Research Assistantship Position in ISP Lab
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I am excited to announce that I have been accepted as a Research Assistant in ISP Lab for a two-year term, starting January 12, 2026 (Spring 2026).
slidesMerge: Microscopy Slide Alignment and 14-Channel OME-TIFF Fusion
Published:
slidesMerge is an open-source pipeline for full-resolution microscopy slide alignment and 14-channel OME-TIFF fusion, built for computational pathology research.
CD73 KO vs WT RNA-seq Analysis with Kallisto and Sleuth
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I built this project to run a reproducible RNA-seq comparison between CD73 knockout (KO) and wild-type (WT) samples using a practical Kallisto + Sleuth workflow.
CheXray: Multi-Model Chest X-ray Analysis and Report Drafting
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CheXray is a research prototype combining chest X-ray classification models with an LLM to draft structured radiology reports, for research and educational use.
Background and Artifact Removal for Multiplex Tissue Imaging
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I built this project to improve background and artifact removal in multiplex pathology images, including whole-slide imaging (WSI) and multi-channel microscopy data.
Paper Published at European Journal of Cancer
Published:
Our review article AI for Early Diagnosis and Precision Treatment of Breast Cancer has been published in the European Journal of Cancer.
Honored to Receive UGA School of Computing Outstanding TA Award
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I am honored to share that I received the UGA Outstanding Teaching Assistant Award (Spring 2024) from the School of Computing.
portfolio
JIBBIK: A Compact Device for Managing Shared Internet Access in Companies
Published:
A Raspberry Pi-based appliance that helped organizations combine Internet connections, distribute bandwidth, and manage access from a central interface.
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Artificial intelligence breakthroughs in pioneering early diagnosis and precision treatment of breast cancer: A multimethod study
Published in European Journal of Cancer, 2024
This is a systematic multimethod study that evaluates the effectiveness of various AI and DL techniques in the early detection and precision treatment of breast cancer. Future efforts in the generalization of these models across diverse populations and encourage cross-disciplinary collaboration to integrate AI tools more seamlessly into standard clinical workflows.
Recommended citation: Darbandi, Mohammad Reza, et al. ""Artificial intelligence breakthroughs in pioneering early diagnosis and precision treatment of breast cancer: A multimethod study". "European Journal of Cancer. 209 (2024): 114227.
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Advancements in AI for Breast Cancer Diagnosis: A 2024–2025 Systematic Review Update
Published in AI Revolution: Research, Ethics and Society, 2025
This paper is mainly about a systematic review of 285 recent articles focusing on the transformative role of artificial intelligence in breast cancer research between 2024 and 2025. The future work is centered on addressing continuing challenges in the field to further integrate these AI techniques into clinical practice for improved patient care.
Recommended citation: Darbandi, Mohammad Reza, et al. "Advancements in AI for Breast Cancer Diagnosis: A 2024–2025 Systematic Review Update." International Conference on the AI Revolution. Cham: Springer Nature Switzerland, 2025
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Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
Published in ArXiv, 2025
This paper is mainly about the emerging convergence of neuroscience, AGI, and neuromorphic computing.The future work is focused on scaling neuromorphic systems to match the complexity of the human brain.
Recommended citation: Shankar, S., Pan, Y., Jiang, H., Liu, Z., Darbandi, M. R., Lorenzo, A., ... & Liu, T. (2025)."Bridging brains and machines: A unified frontier in neuroscience, artificial intelligence, and neuromorphic systems. " arXiv preprint arXiv:2507.10722.
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Foundation Models as Data Engines:Label-Efficient Learning in Modern Computer Vision
Published in AI Revolution: Research, Ethics and Society, 2026
This paper introduces a supervision-centered taxonomy that explores how models like SAM and CLIP are used to automatically curate, label, and distill knowledge into efficient student models. This roadmap aims to create self-evolving AI systems that can democratize visual intelligence by autonomously improving through iterative data verification and self-improvement cycles.
Recommended citation: Darbandi, Mohammad Reza, et al. "Foundation Models as Data Engines:Label-Efficient Learning in Modern Computer Vision. " International Conference on the AI Revolution. Cham: Springer Nature Switzerland, 2026
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Networking and Computer Science Instruction in Iran
Professional and technical instruction, , 2014
Delivered networking and computer-science instruction in Shiraz, Iran, from 2014 to 2017.
Computer Networks
Graduate/Undergraduate course — Graduate Teaching Assistant, School of Computing, University of Georgia, 2022
Supported instruction for CSCI 4760/6760: Computer Networks at the University of Georgia from 2022 to 2024.