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.
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.
Academic Background
Trained at Anna University across undergraduate, postgraduate, and doctoral levels.
Technical Expertise
A broad toolkit spanning programming, ML frameworks, medical AI, and research communication.
Research Output
Peer-reviewed journal articles spanning AI-driven diagnostics, federated learning, and critical care AI.
Diagnosis of COVID-19 from CT Slices using Whale Optimization Algorithm, SVM and Multi-Layer Perceptron
Diagnosis of COVID-19 from CT Slices using Flower Pollination Algorithm, K-Nearest Neighbor, and SVM Classifiers
Revolutionizing Healthcare Informatics With Fuzzy Logic: Smarter Data, Smarter Decisions
Multimodal Learning for Neonatal Sepsis Detection in the NICU Using Brain-Inspired Graph Neural Networks Accepted
FL-WOSP: Federated Learning with Walrus Optimization Algorithm for Sepsis Prediction Using MIMIC III Data
A Systematic Review of Privacy-Preserving Federated Learning in Decentralized Healthcare Systems
8 – 17 · Additional Manuscripts Under Review
Book Authorship
Synergies of 6G and IoT
International Research on Sustainability and Innovation: A Multidisciplinary Approach to Global Development
International Perspectives on Multidisciplinary Research, Innovations, Challenges and Future Directions
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
FiledAI-Based Predictive Analytics of Complex Data Sets in the Diagnosis of Critical Lung Cancer in Clinical Traits
FiledWork Experience
- 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.
- 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.
- 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
Member since January 2009
ID: 100544827
ID: 1871408
ID: 7021240116
Open to Collaborations
Interested in research partnerships, postdoctoral positions, or industry roles in AI-driven healthcare? Let's connect.
Send an Email ✉