Kiruthika Balakrishnan

About

Kiruthika Balakrishnan, Postdoctoral research associate in the National Center for Rural Health Professions, University of Illinois Chicago, Rockford campus: Rockford, Illinois, US.

Her research interests include biomedical signal processing, Artificial Intelligence, Rural healthcare delivery, Liver transplantation outcomes and VLSI design.

Employment

• University of Illinois Chicago, Rockford campus Post-Doctoral Research Associate
  2024 - Present
• University of Florida Postdoctoral research Associate
  2023 - 2024

Education

• Anna University, Chennai Doctor of Philosophy
  2019 - 2024
• Anna University Master of Engineering
  2012 - 2014
• Anna University, Chennai Bachelor of Engineering
  2006 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• Bottleneck of AI driven techniques for identifying indian agricultural diseases: A systematic review and future directives
  Malaya Kumar Nath, Karthick Mookkandi, Kiruthika Balakrishnan +3 more
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.111212
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• A hybrid Swin–DeiT transformer framework for automated welding defect detection in radiographic images
  M. Siva Ramkumar, S. Lakshmi, Kiruthika Balakrishnan +5 more
  Computers and Electrical Engineering 2026 DOI: 10.1016/j.compeleceng.2026.111135
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• Why are rural hospitals closing in the U.S.? Predictors identified using explainable machine learning
  BMC Health Services Research 2026 DOI: 10.1186/s12913-026-14810-w
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• Robust method for classification of agricultural crops diseases using LGXP descriptor
  Karthick Mookkandi, Malaya Kumar Nath, Kiruthika Balakrishnan
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2025.108826
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• Artificial intelligence approaches for non-invasive diabetes prediction using ECG signals: A systematic review
  Computer Methods and Programs in Biomedicine 2026 DOI: 10.1016/j.cmpb.2026.109264
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• Predictors of rural hospital closures in the United States: a systematic review and call for AI-driven early warning systems
  BMC Health Services Research 2025 DOI: 10.1186/s12913-025-13847-7
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• Artificial Intelligence in Rural Healthcare Delivery: Bridging Gaps and Enhancing Equity through Innovation
  Arxiv 2025
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• MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification
  arXiv e-prints 2025
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• MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification
  arXiv e-prints 2025
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• ECG-based cardiac arrhythmia classification using fuzzy encoded features and deep neural networks
  Biomedical Engineering Advances 2025 DOI: 10.1016/j.bea.2025.100167
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• Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review
  BMC Medical Informatics and Decision Making 2025 DOI: 10.1186/s12911-025-02890-3
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• Artificial Intelligence in Rural Healthcare Delivery: Bridging Gaps and Enhancing Equity through Innovation
  Arxiv 2025 DOI: 10.48550/arXiv.2508.11738
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• MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification
  Arxiv 2025 DOI: 10.48550/arXiv.2509.00311
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• Machine learning for post-liver transplant survival: Bridging the gap for long-term outcomes through temporal variation features
  Computer Methods and Programs in Biomedicine 2024 DOI: 10.1016/j.cmpb.2024.108442
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• End-Stage Liver Disease Comorbidities in Patients Awaiting Transplantation: Identification and Impact on Liver Transplant Survival
  Arxiv 2024 DOI: 10.48550/arXiv.2410.12118
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• Classification of inter-patient’s cardiac arrhythmias in ECG signals with enhanced Jaya optimized TQWT parameters and stacked ensemble algorithm
  Soft Computing 2023 DOI: 10.1007/s00500-023-08688-7
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• Detection of cardiac arrhythmias from ECG signals using FBSE and Jaya optimized ensemble random subspace K-nearest neighbor algorithm
  Biomedical Signal Processing and Control 2022 DOI: 10.1016/j.bspc.2022.103654
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