Subhash Nerella

Research Scientist

About me

I am a recent Ph.D. graduate from UFiHealLab at University of Florida with an emphasis on Artificial Intelligence for healthcare. I work on developing machine learning and computer vision algorithms for autonomous monitoring of critically ill patients in ICU. My current research focuses on the feasibility of detecting pain from the patient’s facial behavior, monitoring patient mobility, and circadian desynchrony estimation.

Research Interests

Computer Vision

Diffusion Models

Generative AI

Multimodal AI

Pervasive Monitoring

Biomedical Data Science

Education

PhD in Biomedical Engineering, 2023

University of Florida
MS in Mechanical Engineering, 2018

University of Florida
BS in Mechanical Engineering, 2013

NIT Rourkela

Publications

Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status

Subhash Nerella, Ziyuan Guan, Andrea Davidson, Yuanfang Ren, Tezcan Baslanti, Brooke Armfield, Patrick Tighe, Azra Bihorac, Parisa Rashidi

Transformers in Healthcare: A Survey

Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi

End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units

Subhash Nerella, Kia Khezeli, Ziyuan Guan, Andrea Davidson, Patrick Tighe, Azra Bihorac, Parisa Rashidi

Pain Action Unit Detection in Critically Ill Patients

Subhash Nerella, Julie Cupka, Matthew Ruppert, Patrick Tighe, Azra Bihorac, Parisa Rashidi

IEEE COMPSAC

Sensors in Hospitals

Subhash Nerella, Kevin Vega Gonzalez, Julie Cupka, Matthew Ruppert, Tyler Loftus, Azra Bihorac, Parisa Rashidi
ELSEVIER

The Temporal Relationship Between Ecological Pain and Life-Space Mobility in Older Adults With Knee Osteoarthritis: A Smartwatch-Based Demonstration Study

Mamoun T Mardini, Subhash Nerella, Matin Kheirkhahan, Sanjay Ranka, Roger B Fillingim, Yujie Hu, Duane B Corbett, Erta Cenko, Eric Weber, Parisa Rashidi, Todd M Manini

Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning

Mamoun T Mardini, Subhash Nerella, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M Manini

Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture

Mizuki Miyatake, Subhash Nerella, David Simpson, Natalia Pawlowicz, Sarah Stern, Patrick Tighe, Parisa Rashidi

Subhash Nerella

Research Scientist

About me

Research Interests

Education

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Publications

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