Miad Faezipour
Neuroscience · Purdue University West Lafayette
Publications
218
Citations
4,471
Est. group size
~13
Recurring co-author estimate
Active years
26
Publishing since 2001
Miad Faezipour's work applies machine learning and signal/image processing methods to health-related data, including brain signals (EEG and brain-computer interfaces), medical images, respiratory sounds, and ECG data. Recent projects span Alzheimer's diagnosis, respiratory phase classification from breathing audio, medical image segmentation with vision-language models, and biomedical implant design, alongside some work in cybersecurity and manufacturing quality control. The research generally combines artificial intelligence techniques with biomedical engineering applications aimed at diagnosis, monitoring, and health assessment.
Publication output has been fairly steady over the past decade (roughly 8-15 papers per year) with a large spike in 2025, suggesting an active and possibly growing research output.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Applications of ultrasound and other noninvasive techniques in brain stimulation and imaging
Elsevier eBooks · 2026
- FairVLM: Enhancing Fairness and Prompt Sensitivity in Vision Language Models for Medical Image Segmentation
2026
- CRNN-Based Frame-Level Respiratory Phase Segmentation from Breathing Audio
Zenodo (CERN European Organization for Nuclear Research) · 2026
- CRNN-Based Frame-Level Respiratory Phase Segmentation from Breathing Audio
Zenodo (CERN European Organization for Nuclear Research) · 2026
- D-BEST-Lab/G2T: G2T v1.0.0-paper code
Open MIND · 2026
- D-BEST-Lab/G2T: G2T v1.0.0-paper code
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Machine Learning-Based Breathing Phase Classification of Respiratory Sounds for Pulmonary Health Assessment
Communications in computer and information science · 2026
- A Systematic Review on Advancement of Image Segmentation Techniques for Fault Detection Opportunities and Challenges
Electronics · 2025
- NeuroNet-AD: A Multimodal Deep Learning Framework for Multiclass Alzheimer’s Disease Diagnosis
Bioengineering · 2025
- Application of Generative AI in Drug Discovery
2025
- Artificial Intelligence in Respiratory Health: A Review of AI-Driven Analysis of Oral and Nasal Breathing Sounds for Pulmonary Assessment
Electronics · 2025
- Text-Assisted Vision Model for Medical Image Segmentation
IEEE Journal of Biomedical and Health Informatics · 2025
- Numerical optimization of conformal cooling channels for thermal distribution and stress characterization in additively manufactured high pressure die casting die
Engineering Failure Analysis · 2025
- MicroAIbiome: Decoding Cancer Types from Microbial Profiles Using Explainable Machine Learning
Microorganisms · 2025
- Applications of Large Language Models (LLM) in Healthcare Systems
2025
- University of Bridgeport ScholarWorks (University of Bridgeport)×11
- Electronics×8
- Zenodo (CERN European Organization for Nuclear Research)×7
- IEEE Conference Proceedings×6
- Communications in computer and information science×4
- Marcia Bockbrader
Neuroscience · The Ohio State University
- Timothy H. Lucas
Neuroscience · The Ohio State University
- Jimmy C. Yang
Neuroscience · The Ohio State University
- Sidharth Pancholi
Neuroscience · Purdue University West Lafayette
- Mengyuan Zhao
Neuroscience · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile