Publications
66
Citations
3,825
Est. group size
~9
Recurring co-author estimate
Active years
9
Publishing since 2018
Nabil Ibtehaz works at the intersection of machine learning and biomedical/health data analysis, developing computational models for tasks such as predicting blood pressure from wearable sensor signals (PPG/ECG), analyzing protein sequences and functions, medical image segmentation, and detecting diseases like COVID-19 from sounds or imaging. Much of the work involves designing new deep learning architectures (such as specialized neural network models for signals, images, or biological sequences) and applying them to healthcare and bioinformatics problems.
Publication output rose sharply from 2018 to a peak in 2021 and has since gradually declined and stabilized at a more moderate level through 2024–2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Protein-STORY: Semantic Text-Oriented Representation Yields biologically meaningful Protein embeddings
2026
- List of contributors
Elsevier eBooks · 2025
- Predicting Protein Functions with Function-Aware Domain Embeddings Using Domain-PFP
Methods in molecular biology · 2025
- ExoventQ: A Novel Low-Cost Portable Negative Pressure Ventilator Design and Implementation
IEEE Access · 2024
- ACC-ViT : Atrous Convolution's Comeback in Vision Transformers
arXiv (Cornell University) · 2024
- Predicting transcriptional activation domain function using Graph Neural Networks
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Fusion of regional and sparse attention in Vision Transformers
arXiv (Cornell University) · 2024
- Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction
arXiv (Cornell University) · 2024
- RamanNet: a generalized neural network architecture for Raman spectrum analysis
Neural Computing and Applications · 2023
- Align-gram: Rethinking the Skip-gram Model for Protein Sequence Analysis
The Protein Journal · 2023
- ACC-UNet: A Completely Convolutional UNet Model for the 2020s
Lecture notes in computer science · 2023
- ACC-UNet: A Completely Convolutional UNet model for the 2020s
arXiv (Cornell University) · 2023
- PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms
Bioengineering · 2022
- A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
Sensors · 2022
- Differentiation and classification of bacterial endotoxins based on surface enhanced Raman scattering and advanced machine learning
Nanoscale · 2022
- arXiv (Cornell University)×15
- bioRxiv (Cold Spring Harbor Laboratory)×7
- Computers in Biology and Medicine×3
- Biomedical Signal Processing and Control×2
- IEEE Access×2
- Lin Li
Medicine · Purdue University West Lafayette
- Shehan Perera
Medicine · The Ohio State University
- María Brunette
Medicine · The Ohio State University
- Vishal Purohit
Medicine · Purdue University West Lafayette
- Li Liao
Biochemistry, Genetics and Molecular Biology · 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