Digital twin framework for personalized behavioral health optimization with Q-learning and graph-based planning
Frontiers in Artificial Intelligence
Ayan Chatterjee
Scientist
+47 947 19 372
+47 63 89 82 41
Digital Technologies
Kjeller
ayan@nilu.no
About
Dr. Ayan Chatterjee is a Scientist at NILU Digital Technologies, Kjeller, and Adjunct Associate Professor at Kristiania University College, Oslo, with prior academic positions at the University of Agder and Simula R&D. Known for his interdisciplinary research, Dr. Chatterjee bridges fields such as Software Engineering, Data Science, Human-Centered AI, Data Mining, and Digital Health to foster innovation in academia, industry, and the public sector.
Dr. Chatterjee completed his master’s in software engineering at Jadavpur University, India, and holds a Ph.D. in ICT with a focus on eHealth from the University of Agder, Norway. His doctoral work focused on machine learning-based e-coaching for personalized health recommendations, pioneering methods in personal health data management and hybrid decision-making systems. His expertise spans Software Engineering, Data Science, and Knowledge Engineering, equipping him to tackle complex challenges in health and environmental sciences and driving user-centered, data-driven solutions that impact both research and industry.
An active contributor to European Union projects, Dr. Chatterjee leads or collaborates on Work Packages focusing on Data Science, Digital Health, Environmental Monitoring, and Software Engineering. His project leadership includes overseeing deliverables, coordinating tasks, and ensuring alignment with EU research goals. At Kristiania University College, he has designed and taught advanced courses like “Secure Software Development” and “AI for Cybersecurity” for master’s students, focusing on cybersecurity and software reliability and supervising thesis projects.
With an h-index of 24 and over 950 citations, Dr. Chatterjee shares his findings through conferences, presentations, and journals, and serves on the editorial board of Scientific Reports. His career goal is to advance as a Research Professor in Computer Science, promoting interdisciplinary collaboration to address real-world challenges in data analytics across diverse domains. Dr. Chatterjee’s work at the intersection of technology, environmental sustainability, and human well-being underscores his commitment to impactful, innovative research, contributing to meaningful advancements in science, education, and cross-sector collaboration.
Contextual recommendation modeling in eCoaching with machine learning, X-AI, and semantic ontology
Frontiers in Digital Health
A digital twin-based comparative reinforcement learning framework for personalized behavioral recommendation
Frontiers in Artificial Intelligence
A hybrid CNN-transformer model with adaptive activation function for potato leaf disease classification
Scientific Reports
Investigating lightweight and interpretable machine learning models for efficient and explainable stress detection
Frontiers in Digital Health
Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks
IEEE Access
Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer
Scientific Reports
Sovereignty-Aware Intrusion Detection on Streaming Data: Automatic Machine Learning Pipeline and Semantic Reasoning
Procedia Computer Science
Sovereignty in Automated Stroke Prediction and Recommendation System with Explanations and Semantic Reasoning
Procedia Computer Science
Sb-PiPLU: A Novel Parametric Activation Function for Deep Learning
IEEE Access
Denne digitale treneren vet når du bør droppe løpeturen
Forskning.no
Personalized Asthma Recommendation System: Leveraging Predictive Analysis and Semantic Ontology-Based Knowledge Graph.
Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - vol. 2
Erratum: Author Correction: Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology (Scientific reports (2024) 14 1 DOI: 10.1038/s41598-024-74539-6.)
Scientific Reports
Enhancing Design Science Research Methodology with a Focus on Security (S-DSRM) and Data Sovereignty: A Proof-of-Concept
Artificial Intelligence in Context of Digital Sovereignty
Digital Twin Framework for Optimizing Behavior Change with Greedy Heuristic in Data Secure and Data Scarce Environment
2nd International Conference on Digital Sovereignty: Proceedings of ICDS 2025
Detection of Body Shaming in Social Media: Traditional Machine Learning vs. Transformer-based Models
2025 International Conference on Advanced Machine Learning and Data Science (AMLDS)
Automated Intrusion Detection in Streaming Data: A Sovereignty-Aware Approach With Machine Learning and Semantic Insights
Empowering Digital Sovereignty: Balancing Privacy and Global Connectivity
A Semi-Automatic Generative AI Pipeline Design to Enhance Document Accessibility, Digital Sovereignty, and Web Crawling: A Proof-of-Concept Study
Artificial Intelligence in Context of Digital Sovereignty
A Fuzzy Decision Support System with Semantic Knowledge Graph for Personalized Asthma Monitoring: A Conceptual Modeling
Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - vol. 2
Digital twin framework for personalized behavioral health optimization with Q-learning and graph-based planning
Frontiers in Artificial Intelligence
Contextual recommendation modeling in eCoaching with machine learning, X-AI, and semantic ontology
Frontiers in Digital Health
A digital twin-based comparative reinforcement learning framework for personalized behavioral recommendation
Frontiers in Artificial Intelligence
A hybrid CNN-transformer model with adaptive activation function for potato leaf disease classification
Scientific Reports
Investigating lightweight and interpretable machine learning models for efficient and explainable stress detection
Frontiers in Digital Health
Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks
IEEE Access
Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer
Scientific Reports
Sovereignty-Aware Intrusion Detection on Streaming Data: Automatic Machine Learning Pipeline and Semantic Reasoning
Procedia Computer Science
Sovereignty in Automated Stroke Prediction and Recommendation System with Explanations and Semantic Reasoning
Procedia Computer Science
Sb-PiPLU: A Novel Parametric Activation Function for Deep Learning
IEEE Access
Denne digitale treneren vet når du bør droppe løpeturen
Forskning.no
Personalized Asthma Recommendation System: Leveraging Predictive Analysis and Semantic Ontology-Based Knowledge Graph.
Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - vol. 2
Erratum: Author Correction: Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology (Scientific reports (2024) 14 1 DOI: 10.1038/s41598-024-74539-6.)
Scientific Reports
Enhancing Design Science Research Methodology with a Focus on Security (S-DSRM) and Data Sovereignty: A Proof-of-Concept
Artificial Intelligence in Context of Digital Sovereignty
Digital Twin Framework for Optimizing Behavior Change with Greedy Heuristic in Data Secure and Data Scarce Environment
2nd International Conference on Digital Sovereignty: Proceedings of ICDS 2025
Detection of Body Shaming in Social Media: Traditional Machine Learning vs. Transformer-based Models
2025 International Conference on Advanced Machine Learning and Data Science (AMLDS)
Automated Intrusion Detection in Streaming Data: A Sovereignty-Aware Approach With Machine Learning and Semantic Insights
Empowering Digital Sovereignty: Balancing Privacy and Global Connectivity
A Semi-Automatic Generative AI Pipeline Design to Enhance Document Accessibility, Digital Sovereignty, and Web Crawling: A Proof-of-Concept Study
Artificial Intelligence in Context of Digital Sovereignty
A Fuzzy Decision Support System with Semantic Knowledge Graph for Personalized Asthma Monitoring: A Conceptual Modeling
Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - vol. 2