Betshrine Rachel Jibinsingh

Highly accomplished researcher specializing in AI-driven medical imaging and clinical diagnostics, with pioneering contributions spanning deep learning, evolutionary algorithms, and privacy-preserving federated learning. I develop intelligent, ethical, and scalable diagnostic systems that significantly outperform traditional methods in detecting high-impact conditions such as COVID-19 and Sepsis, leveraging authoritative real-world datasets like MIMIC-III. My work integrates cutting-edge algorithmic innovation with clinical relevance, producing diagnostic frameworks that are noise-robust, data-efficient, and deployable across multi-institution environments without compromising patient privacy. Recognized through peer-reviewed publications, independent citations, and interdisciplinary collaborations, I advance next-generation medical AI solutions that are accurate, interpretable, and aligned with global ethical standards, contributing directly to U.S. priorities in public health, biomedical AI, and secure clinical technologies.

· Python, R, MATLAB, Java

· TensorFlow, Keras, PyTorch

· OpenCV, NumPy, Pandas, Matplotlib

· Medical Image Processing

· CT/X-ray/MRI Image Analysis

· Feature Extraction and Selection

· Machine Learning and Deep Learning

· Federated Learning and Distributed AI

· Privacy-Preserving AI

• Research Mentorship
• Workshop & Seminar Leadership
• Academic Presentation Skills
• Curriculum Development
• Interdisciplinary Collaboration
• Public Speaking and Science Communication

• Achieved [Result] through effectively helping with [Task].
• Achieved [Result] by introducing [Software] for [Type] tasks.
• Achieved [Result] by completing [Task] with accuracy and efficiency.

• Institute of Electrical and Electronics Engineers (IEEE) – Senior Member since July 2025, Member ID: 100544827, Member since January 2009.
• Association for Computing Machinery (ACM) – Professional Member since 2025, Member ID: 1871408.1871408.
• Radiological Society of North America (RSNA) member since 2025
• Computer Society of India (CSI) – Professional Member, Member ID: 7021240116.

• CITI Program – Data Management for Biomedical Research (ID: 65192934)
• CITI Program – Biomedical Research Investigators (ID: 70346117)
• CITI Program – Data or Specimens Only Research (ID: 66483488)
• CITI Program – Conflicts of Interest (ID: 66483489)
• Physionet dataset license- Credential ID: 66483488

• Betshrine Rachel Jibinsingh, S. Suja Golden Shiny, Anisha Isaac. Artificial Intelligence and Machine Learning-Based Deep Learning Framework for Predictive Healthcare Diagnostics. Indian Patent Application No. 202541069128, TEMP/E-1/77197/2025-CHE, FILED.
• Swapnil Jain Mhir Harishbhai Rajyaguru, Renu Kumari, Betshrine Rachel Jibinsingh, Shylaja D. N., Prashant Jagannathrao Awate, Vasamsetti Srinivas, Anshul Mishra “AI-Based Predictive Analytics of Complex Data Sets in the Diagnosis of Critical Lung Cancer in Clinical Traits. Indian Patent Application No. 202521064650, Patent No. IN-UP15902683627346X, FILED.
• Betshrine Rachel Jibinsingh, S. Suja Golden Shiny, Anisha Isaac. Artificial Intelligence and Machine Learning-Based Deep

• Technical Program Committee (TPC) Member in IEEE International Conference on Teaching, Assessment, and Learning for Engineering.
• National Advisory Committee, International Conference on Communication, Devices and Networking (ICCDN) ,2026.

• IEEE Senior Member Award
• Best Paper Award

• Nelson, M., Alotaibi, Y., Rajendran, S., and Jibinsingh, B. R. (2026). Multimodal Learning for Neonatal Sepsis Detection in the NICU Using Brain-Inspired Graph Neural Networks. Results in Engineering, 109072. https://doi.org/10.1016/j.rineng.2026.109072.
• Betshrine Rachel Jibinsingh, Leema Nelson 2025, FL-WOSP: Federated Learning with Walrus Optimization Algorithm for Sepsis Prediction Using MIMIC III Physiological and Clinical Data. https://doi.org/10.1016/j.patcog.2025.112813 , Pattern Recognition, Elsevier.
• Sathish Kumar, KA, Leema Nelson, Betshrine Rachel Jibinsingh, 2025, A Systematic Review of Privacy–Preserving Federated Learning in Decentralized Healthcare Systems, Franklin Open. https://doi.org/10.1016/j.fraope.2025.100440.
• Betshrine Rachel Jibinsingh, Prashant Raghuwanshi, Sanjiv Kumar Jain, Shweta Choudhary, Anurag Shrivastava, 2025, Revolutionizing Healthcare Informatics With Fuzzy Logic: Smarter Data, Smarter Decisions, https://doi.org/10.64258/8815sk87.
• Prashant Raghuwanshi, Sanjiv Kumar Jain, Shweta Choudhary, Anurag Shrivastava, Betshrine Rachel Jibinsingh 2025, Next-Gen Medical Intelligence: Fuzzy Logic-Driven Expert Systems for Clinical Decision-Making, International Journal of Environmental Sciences, Elsevier.
• Betshrine Rachel Jibinsingh, Khanna Nehemiah, Kabilasri Jayakannan, Rebecca Mercy Victoria Manoharan, Anisha Isaac, 2024, Diagnosis of COVID-19 from Computed Tomography Slices using Flower Pollination Algorithm, K-Nearest Neighbor, and Support Vector Machine Classifiers., Artificial Intelligence in Health.
• Betshrine Rachel, Khanna Nehemiah, Vaibhav Kumar Singh, Rebecca Mercy Victoria Manoharan, 2023, Diagnosis of Covid-19 from CT slices using Whale Optimization Algorithm, Support Vector Machine and Multi-Layer Perceptron, Journal of X-Ray Science and Technology, 32, 2, 253-269.
• Betshrine Rachel, Khanna Nehemiah, Marishanjunath, Rebecca Mercy Victoria Manoharan, 2022, Diagnosis of Pulmonary Edema and covid-19 from CT slices using squirrel search algorithm, support vector machine and back propagation neural network, Journal of Intelligent & Fuzzy Systems, 44, 4, 5633-5646, 10.3233/JIFS-222564.
• Betshrine Rachel Jibinsingh, Leema Nelson 2025, A review of Federated Learning Frameworks in Healthcare Challenges and Approaches for Dependable AI Systems, Under Review in Franklin Open.
• Betshrine Rachel Jibinsingh, Leema Nelson 2025, MINNSP: A Multi-Input Neural Network for Sepsis Prediction Using Waveform and Numeric Data from MIMIC-III Dataset through Federated Learning. Under Review in Artificial Intelligence in Medicine.
• Betshrine Rachel Jibinsingh, Sathish Kumar, KA, Leema Nelson, 2025, Comprehensive Review of Critical Care Data Science Evolution Using the MIMIC-III Clinical Applications, Challenges, and Innovations, Under Review in Artificial Intelligence in Medicine.
• Betshrine Rachel Jibinsingh, Leema Nelson, SpikeNet-Sepsis: A Spiking Neural Network Approach for Early Sepsis Detection from Physiological and Clinical Data from the MIMIC III Dataset, Under Review in Artificial Intelligence in Health.
• Betshrine Rachel Jibinsingh, Leema Nelson, FedSpikeSepsis: A Federated Temporal-Spiking Network for Early Warning of Sepsis using MIMIC III Dataset, submitted in IEEE Transactions on Emerging Topics in Computational Intelligence.
• Betshrine Rachel Jibinsingh, Leema Nelson, NeuroSpike-Sepsis: A Spiking Neural Model for Early Detection of Sepsis from Multimodal ICU Data from MIMIC III Dataset, Respiratory Medicine Journal, Elsevier.
• Sathish Kumar, KA, Betshrine Rachel Jibinsingh, Leema Nelson, 2025, CLOSP: Centralized Deep Learning Technique for Sepsis Prediction Using Multi-Neural Inputs from MIMIC III Dataset using Walrus Optimization Algorithm, Under Review in Computers and Electrical Engineering.
• Sathish Kumar, KA, Leema Nelson, Betshrine Rachel Jibinsingh, 2025, MIMIC-SepsisNet: A Centralized Deep Learning Framework for Multi-Modal Sepsis Prediction, Under Review in Data Information and Knowledge Management.
• Anita Avula, Betshrine Rachel Jibinsingh, Leema Nelson, Delirium Detection and Prediction in ICU Patients: A Comprehensive review of evidence and applications using MIMIC-IV database, Computational Statistics and Data Analysis, Elsevier.
• S. Sumathi, Betshrine Rachel Jibinsingh, Leema Nelson, MIMIC-CXR: A Comprehensive Review of AI-driven Chest Analysis in Critical Care, Franklin Open, Elsevier.
• M. Anto Bennet, S. Prince Samuel, N. B. Mustare, B. R. Jibinsingh, M. Ramesh Kumar and R. Selvakani, "Efficient Cervical Cancer Diagnosis Using Supervised Machine Learning: A Performance Perspective," 2025 IEEE International Conference on Compute, Control, Network & Photonics (ICCCNP), Bangalore, India, 2025, pp. 1-6, doi: 10.1109/ICCCNP63914.2025.11233345.
• B. R. Jibinsingh, A. Isaac, M. B. Alazzam, A. E. M. Majed, S. G and A. A. R. S., "Federated Intelligence-Enabled Adaptive Intrusion Detection System for Privacy-Preserving Threat Mitigation in IoT Ecosystems," 2025 6th International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS), Bengaluru, India, 2025, pp. 201-205, doi: 10.1109/ICICNIS66685.2025.11315803.
• Betshrine Rachel Jibinsingh and Vinish J Dev, 2025, “A Novel AI-Driven Anomaly Detection for New Devices Identification and SIEM Onboarding”, Springer Nature – Computational Intelligence and Soft Computing (CCIS).
• Betshrine Rachel Jibinsingh and Leema Nelson, “Synergies of 6G and IoT”, 2025, IEEE Wiley (Accepted May 2025).
• Jibinsingh, B. R., et al. (2025). International research on sustainability and innovation: A multidisciplinary approach to global development. Innovative Global Publishing.
• Jibinsingh, B. R., et al. (2025). International perspectives on multidisciplinary research, innovations, challenges and future directions. Innovative Global Publishing House.
• Betshrine Rachel Jibinsingh and Leema Nelson, “ Meta Learning: A Primer, Wiley. Under submitted status.
• Reviewer in Biomedical Signal Processing and Control, Elsevier.
• Reviewer in Respiratory Medicine, Elsevier.
• Reviewer in Applied Soft Computing, Elsevier.
• Reviewer in International Journal of Biomedical Science and Engineering (IJBSE), Science Publishing Group.
• Reviewer in the 3rd International Conference on Artificial Intelligence, Computer, Data Sciences and Applications, Philippines.
• Reviewer in the IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Macao, China.
• IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation
• International Conference on Artificial Intelligence, Computer, Data Sciences and Applications
• IEEE Pune Section International Conference (PuneCon)
• IEEE International Conference on Teaching, Assessment, and Learning for Engineering
• International Conference on Advancement in Electronics & Communication Engineering
• International Conference on Emerging Technologies in Electronics and Green Energy
• International Conference on Emerging Challenges and Research Frontiers in Digital Transformation
• International Conference On Applied Data Science and Smart Systems
• International Conference on Network, Multimedia and Information Technology (NMITCON)
• International Conference on Communication, Computer, and Information Technology (IC3IT)
• International Conference on Software, Systems and Information Technology
• International Conference on Cybersecurity and Data Protection

• Invited speaker at a Lung Cancer Awareness Seminar at Chaitanya Techno Schools, India.
• Invited for a course on "Digital Image Processing with MATLAB" at St. Xavier’s Catholic College of Engineering (SXCCE), Anna University, India.
• Coordinated and led a seminar on "Data Structures and Algorithms" at M.E.T. Engineering College, India.
• Conducted a workshop on "Python Programming Language" at SXCCE, Anna University, India.