PhD · AI Researcher · Medical Imaging

Betshrine Rachel Jibinsingh

Ph.D. in Computer Science & Engineering, specializing in AI-driven medical imaging, federated learning, and privacy-preserving diagnostic systems for pulmonary and critical care conditions.

17+
Publications
2
Patents Filed
91%
Peak Accuracy
7+
Years Research

Who I Am

I am a Ph.D. graduate in Computer Science and Engineering with a research focus on AI-driven medical imaging, specifically in disease diagnosis. My work integrates evolutionary algorithms, deep learning, and privacy-preserving techniques such as federated learning to develop clinically relevant and scalable diagnostic tools.

I have experience working with real-world datasets including MIMIC-III, and my models have achieved high diagnostic accuracy in detecting COVID-19 and sepsis.

Currently based in Atlanta, GA, USA, I am open to research collaborations, postdoctoral positions, and industry roles in AI-driven healthcare technology.

📍 Atlanta, GA 30080, USA
🧠
AI & Deep Learning in Medical Imaging
Developing CNN-based architectures and evolutionary optimization methods for CT/X-ray/MRI analysis in pulmonary disorders.
🔒
Privacy-Preserving & Federated Learning
Designing distributed AI systems that protect patient data while enabling collaborative model training across institutions.
🫁
Radiomics & Pulmonary Diagnostics
Quantitative feature extraction from chest CT slices for early detection and classification of COVID-19 and pulmonary edema.
🏥
Translational AI in Critical Care
Applying MIMIC-III clinical and waveform data to build early warning systems for sepsis, delirium, and neonatal conditions.

Academic Background

Trained at Anna University across undergraduate, postgraduate, and doctoral levels.

Oct 2024
Doctor of Philosophy (PhD)
Computer Science and Engineering · Anna University · India
May 2016
Master of Engineering
Computer Science and Engineering · Anna University · India
May 2012
Bachelor of Technology
Information Technology · Anna University · India

Technical Expertise

A broad toolkit spanning programming, ML frameworks, medical AI, and research communication.

Programming Languages
PythonR MATLABJava
ML / DL Frameworks
TensorFlowKeras PyTorchOpenCV NumPyPandas Matplotlib
Medical AI
Medical Image Processing CT/X-ray/MRI Analysis Feature Extraction Radiomics
AI Specializations
Federated Learning Distributed AI Privacy-Preserving AI Evolutionary Algorithms
Research Skills
Biomedical Data Analysis Multi-modal Data Fusion Model Evaluation Scientific Writing Grant Writing
Professional Skills
Research Mentorship Curriculum Development Public Speaking Interdisciplinary Collaboration

Research Output

Peer-reviewed journal articles spanning AI-driven diagnostics, federated learning, and critical care AI.

Diagnosis of Pulmonary Edema and COVID-19 from CT Slices using Squirrel Search Algorithm, SVM and Back Propagation Neural Network

Betshrine Rachel, Khanna Nehemiah, Marishanjunath, Rebecca Mercy Victoria Manoharan

Journal of Intelligent & Fuzzy Systems, 44(4), 5633–5646 · 2022

Diagnosis of COVID-19 from CT Slices using Whale Optimization Algorithm, SVM and Multi-Layer Perceptron

Betshrine Rachel, Khanna Nehemiah, Vaibhav Kumar Singh, Rebecca Mercy Victoria Manoharan

Journal of X-Ray Science and Technology, 32(2), 253–269 · 2023

Diagnosis of COVID-19 from CT Slices using Flower Pollination Algorithm, K-Nearest Neighbor, and SVM Classifiers

Betshrine Rachel Jibinsingh, Khanna Nehemiah, Kabilasri Jayakannan, et al.

Artificial Intelligence in Health · 2024

Revolutionizing Healthcare Informatics With Fuzzy Logic: Smarter Data, Smarter Decisions

Betshrine Rachel Jibinsingh, Prashant Raghuwanshi, Sanjiv Kumar Jain, et al.

2025

Multimodal Learning for Neonatal Sepsis Detection in the NICU Using Brain-Inspired Graph Neural Networks Accepted

Madhusundar Nelson, Surendran Rajendran, Betshrine Rachel Jibinsingh

Results in Engineering, Elsevier · 2025

FL-WOSP: Federated Learning with Walrus Optimization Algorithm for Sepsis Prediction Using MIMIC III Data

Betshrine Rachel Jibinsingh, Leema Nelson

Pattern Recognition, Elsevier · 2025

A Systematic Review of Privacy-Preserving Federated Learning in Decentralized Healthcare Systems

Sathish Kumar KA, Leema Nelson, Betshrine Rachel Jibinsingh

Franklin Open, Elsevier · 2025

8 – 17 · Additional Manuscripts Under Review

FL Frameworks in Healthcare MINNSP: Multi-Input Neural Network for Sepsis MIMIC-III Critical Care Review SpikeNet-Sepsis FedSpikeSepsis Delirium Detection in ICU MIMIC-CXR Chest Analysis Review

Book Authorship

Book 01

Synergies of 6G and IoT

Betshrine Rachel Jibinsingh and Leema Nelson
IEEE Wiley · Accepted May 2025
Book 02

International Research on Sustainability and Innovation: A Multidisciplinary Approach to Global Development

Jibinsingh B. R., et al.
Innovative Global Publishing · 2025
Book 03

International Perspectives on Multidisciplinary Research, Innovations, Challenges and Future Directions

Jibinsingh B. R., et al.
Innovative Global Publishing House · 2025

Intellectual Property

Patents filed with the Indian Patent Office covering AI-based healthcare diagnostics.

⚙️

AI and Machine Learning-Based Deep Learning Framework for Predictive Healthcare Diagnostics

Application No. 202541069128

TEMP/E-1/77197/2025-CHE

Filed
🫁

AI-Based Predictive Analytics of Complex Data Sets in the Diagnosis of Critical Lung Cancer in Clinical Traits

Application No. 202521064650

Patent No. INUP15902683627346X

Filed

Work Experience

Researcher / Faculty
Information & Communication Engineering · Anna University, Chennai, India
Jan 2017 – Oct 2024
  • Developed three CAD systems for COVID-19 and pulmonary disorder diagnosis, achieving accuracies of 88.94%, 88.02%, and 91.30%.
  • Taught 10+ core courses including Machine Learning, Data Science, Medical Imaging Systems, Radiotherapy, and Medical Image Processing.
  • Supervised multiple Master's theses in lung imaging and diagnostic modeling.
  • Conducted public seminars and awareness programs on COVID-19 and imaging-based diagnosis.
  • Doctoral dissertation rated in the highest category by both foreign and native examiners.
Assistant Professor
M.E.T. College of Engineering · India
Jun 2013 – May 2014
  • Taught Computer Organization and Architecture, DBMS, Data Structures, and Algorithms.
  • Designed and evaluated comprehensive student assessments; provided targeted feedback.
  • Served on departmental curriculum and accreditation committees.
Faculty Lecturer
Arignar Anna Institute of Technology · India
Jun 2012 – May 2013
  • Taught Data Structures, Algorithms, and Machine Learning fundamentals.
  • Mentored final-year projects applying AI and data analytics to real-world problems.
  • Assisted in curriculum development integrating emerging topics.

Professional Memberships

IEEE
Institute of Electrical and Electronics Engineers
Senior Member since July 2025
Member since January 2009
ID: 100544827
ACM
Association for Computing Machinery
Professional Member since 2025
ID: 1871408
CSI
Computer Society of India
Professional Member
ID: 7021240116

Open to Collaborations

Interested in research partnerships, postdoctoral positions, or industry roles in AI-driven healthcare? Let's connect.

Send an Email ✉