U
Ukash Nakarmi Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
faculty
12 h-index
47 pubs
454 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Dr. Ukash Nakarmi, an Assistant Professor at the University of Arkansas, leads the Computational Analytics track within the Data Science Program. His research agenda centers on developing data-driven methodologies in machine learning, computational imaging, and signal processing, with a specific focus on applications within medical imaging, healthcare, and biomedicine. He has contributed to the field through research on artificial intelligence for remote patient monitoring in heart failure and the application of deep learning for magnetic resonance image reconstruction.
His work also extends to advanced signal processing techniques, including the generation of frequency-modulated signals using photonic methods and optical injection in semiconductor lasers. Dr. Nakarmi has explored graph neural networks for analyzing functional magnetic resonance imaging (fMRI) data and investigated kernel regression imputation methods for dynamic MRI. His scholarly output includes 45 publications, with a total of 444 citations, and an h-index of 12. He actively collaborates with researchers at the University of Arkansas at Fayetteville and the University of Arkansas for Medical Sciences.
Metrics
- h-index: 12
- Publications: 47
- Citations: 454
Selected Publications
-
Efficient Back-Projection Technique for Multiple Objects Detection and 2D Imaging Through Photonics-Based LFM Radar (2025)
-
From Noise Estimation to Restoration: A Unified Diffusion and Bayesian Risk Approach for Unsupervised Denoising (2025)
-
Semi-Supervised Medical Image Segmentation using Puzzlemix Augmentation Technique (2024)
-
Cut-Puzzle mix: Scribble Guided Medical Image Segmentation without Segmentation Masks (2024)
-
Abstract 4138376: A Machine Learning Approach to Predict Percutaneous Coronary Intervention in Patients with Critical Illness and Signs of Myocardial Injury (2024)
-
A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning (2024)
-
Learning From Oversampling: A Systematic Exploitation of Oversampling to Address Data Scarcity Issues in Deep Learning- Based Magnetic Resonance Image Reconstruction (2024)
-
Multi-Radar Interference Mitigation in Photonics-Based Radar With Sliding Window LSTM Recurrent Neural Network (2024)
-
DeepLIR: Attention-Based Approach for Mask-Based Lensless Image Reconstruction (2024)
-
When System Model Meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging (2023)
-
On Training Model Bias of Deep Learning based Super-resolution Frameworks for Magnetic Resonance Imaging (2023)
-
Multi-Chirp LFM Waveforms Generation With Reconfigurable Chirp Rates Using Optical Injection in a Semiconductor Laser (2023)
-
BrainVGAE: End-to-End Graph Neural Networks for Noisy fMRI Dataset (2022)
-
Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications (2022)
-
Photonically Generated Frequency Hopped Linear Frequency Modulated Signal Using a DFB Laser (2022)
Collaboration Network
Top Collaborators
Leslie Ying
6 shared publications
- Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case
- Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Case
- Self-Learned Kernel Low Rank Approach TO Accelerated High Resolution 3D\n Diffusion MRI
- SELF-LEARNED KERNEL LOW RANK APPROACH TO ACCELERATED HIGH RESOLUTION 3D DIFFUSION MRI
- Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Case
Showing 5 of 6 shared publications
Bikash Nakarmi
Nanjing University of Aeronautics and Astronautics (CN)
5 shared publications
- Photonically Generated Frequency Hopped Linear Frequency Modulated Signal Using a DFB Laser
- Multi-Chirp LFM Waveforms Generation With Reconfigurable Chirp Rates Using Optical Injection in a Semiconductor Laser
- Linear Frequency Modulated Photonics RADAR using Injection Locking in Semiconductor Laser
- Multi-Radar Interference Mitigation in Photonics-Based Radar With Sliding Window LSTM Recurrent Neural Network
- Efficient Back-Projection Technique for Multiple Objects Detection and 2D Imaging Through Photonics-Based LFM Radar
Ikechi Augustine Ukaegbu
University of West Alabama (US)
5 shared publications
- Photonically Generated Frequency Hopped Linear Frequency Modulated Signal Using a DFB Laser
- Multi-Chirp LFM Waveforms Generation With Reconfigurable Chirp Rates Using Optical Injection in a Semiconductor Laser
- Linear Frequency Modulated Photonics RADAR using Injection Locking in Semiconductor Laser
- Multi-Radar Interference Mitigation in Photonics-Based Radar With Sliding Window LSTM Recurrent Neural Network
- Efficient Back-Projection Technique for Multiple Objects Detection and 2D Imaging Through Photonics-Based LFM Radar
Ibsa Jalata
University of Arkansas at Fayetteville
5 shared publications
In database
- Learning From Oversampling: A Systematic Exploitation of Oversampling to Address Data Scarcity Issues in Deep Learning- Based Magnetic Resonance Image Reconstruction
- When System Model Meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging
- When System Model meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging
- Cut-Puzzle mix: Scribble Guided Medical Image Segmentation without Segmentation Masks
- Semi-Supervised Medical Image Segmentation using Puzzlemix Augmentation Technique
Konstantinos Slavakis
Dalle Molle Institute for Artificial Intelligence Research (CH)
4 shared publications
- Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case
- Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Case
- Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Case
- Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Case
Loris Cannelli
Purdue University West Lafayette (US)
4 shared publications
- Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case
- Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Case
- Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Case
- Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Case
Gesualdo Scutari
Purdue University West Lafayette (US)
4 shared publications
- Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case
- Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Case
- Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Case
- Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Case
Nian Wang
4 shared publications
- Self-Learned Kernel Low Rank Approach TO Accelerated High Resolution 3D\n Diffusion MRI
- On Training Model Bias of Deep Learning based Super-resolution Frameworks for Magnetic Resonance Imaging
- SELF-LEARNED KERNEL LOW RANK APPROACH TO ACCELERATED HIGH RESOLUTION 3D DIFFUSION MRI
- On Training Model Bias of Deep Learning based Super-resolution Frameworks for Magnetic Resonance Imaging
Shilong Pan
Nanjing University of Aeronautics and Astronautics (CN)
4 shared publications
- Photonically Generated Frequency Hopped Linear Frequency Modulated Signal Using a DFB Laser
- Multi-Chirp LFM Waveforms Generation With Reconfigurable Chirp Rates Using Optical Injection in a Semiconductor Laser
- Linear Frequency Modulated Photonics RADAR using Injection Locking in Semiconductor Laser
- Multi-Radar Interference Mitigation in Photonics-Based Radar With Sliding Window LSTM Recurrent Neural Network
Yuchou Chang
3 shared publications
- Parallel MRI Reconstruction Using Broad Learning System
- Self-Learned Kernel Low Rank Approach TO Accelerated High Resolution 3D\n Diffusion MRI
- SELF-LEARNED KERNEL LOW RANK APPROACH TO ACCELERATED HIGH RESOLUTION 3D DIFFUSION MRI
Xiangchuan Wang
Nanjing University of Aeronautics and Astronautics (CN)
3 shared publications
- Photonically Generated Frequency Hopped Linear Frequency Modulated Signal Using a DFB Laser
- Multi-Chirp LFM Waveforms Generation With Reconfigurable Chirp Rates Using Optical Injection in a Semiconductor Laser
- Linear Frequency Modulated Photonics RADAR using Injection Locking in Semiconductor Laser
Gaurav Shetty
Geisinger Health System (US)
2 shared publications
- Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case
- Kernel Regression Imputation in Manifolds via Bi-Linear Modeling: The Dynamic-MRI Case
Abhijit Baul
2 shared publications
- Self-Learned Kernel Low Rank Approach TO Accelerated High Resolution 3D\n Diffusion MRI
- SELF-LEARNED KERNEL LOW RANK APPROACH TO ACCELERATED HIGH RESOLUTION 3D DIFFUSION MRI
Choyi Zhang
2 shared publications
- Self-Learned Kernel Low Rank Approach TO Accelerated High Resolution 3D\n Diffusion MRI
- SELF-LEARNED KERNEL LOW RANK APPROACH TO ACCELERATED HIGH RESOLUTION 3D DIFFUSION MRI
Bijay Gaudel
Stevens Institute of Technology (US)
2 shared publications
- Linear Frequency Modulated Photonics RADAR using Injection Locking in Semiconductor Laser
- Multi-Radar Interference Mitigation in Photonics-Based Radar With Sliding Window LSTM Recurrent Neural Network
Similar Researchers
Based on overlapping research topics
Ibsa Jalata
University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications
Advanced MRI Techniques and Applications
Machine Learning Applications
Charles James
University of Arkansas for Medical Sciences
Medical Imaging Techniques and Applications
Advanced MRI Techniques and Applications
Radiomics and Machine Learning in Medical Imaging
Joshua Liu
University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications
Advanced MRI Techniques and Applications
Machine Learning Applications
Jackson W. Massey
University of Arkansas for Medical Sciences
Medical Imaging Techniques and Applications
Advanced MRI Techniques and Applications
Machine Learning Applications
Kuruva Manohar
University of Arkansas for Medical Sciences
Medical Imaging Techniques and Applications
Advanced MRI Techniques and Applications
Machine Learning Applications
M. Emre Celebi
University of Central Arkansas
Medical Imaging Techniques and Applications
Machine Learning Applications
Radiomics and Machine Learning in Medical Imaging