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Ayan Chatterjee

PhD. Fellow

 
Office:
N03031 ( Jon Lilletuns vei 9, Grimstad )

My field of specialization is ICT - eHealth. I am doing research in 'Smart e-Health Based Recommendation System' with IoT, Machine Learning Algorithms, Digital Signal Processing, Image Processing, Data Analytics, Cloud infrastructure & Big data storage. I am proficient in Java (OCJP), Advanced Java (OCWCD), Spring, ORM, Web services, Python Libraries, Matlab, SQL & NoSql. I have 9+ years of experience in IT Consultation (Tata Consultancy Services Ltd.) as a solution designer & developer with more than 3.4 years of deputation in Europe (Denmark & The Netherlands) for serving leading Telecommunication (TDC-YouSee), Energy (Vattenfall) & Healthcare (J&J) Clients.

Research interests

• eHealth & Health Information System
• Digital Signal Processing
• Image Processing & Light Spectrum Analysis
• AI (Machine Learning, Deep Leaning) - Data Mining – Data Analysis
• Internet of Things (IoT), Smart System Model, Networking & Security, Distributed System
• Optimization Algorithms & Bioinformatics with BIO Inspired Evolutionary Algorithms
• Natural Language Processsing, Human Computer Interface, Computer Vision

 

Academic interests

Research & Innovation

Projects

Smart e-Health Based Recommendation System

Scientific publications

  • Chatterjee, Ayan; Prinz, Andreas; Riegler, Michael; Das, Jishnu (2023). A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care. BMC Health Services Research. ISSN: 1472-6963. 23 (1). doi:10.1186/s12913-023-10047-z.
  • Chatterjee, Ayan; Pahari, Nibedita; Prinz, Andreas; Riegler, Michael Alexander (2023). AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach. BMC Medical Informatics and Decision Making. ISSN: 1472-6947. 23 (1). doi:10.1186/s12911-023-02364-4.
  • Chatterjee, Ayan; Prinz, Andreas; Riegler, Michael Alexander; Meena, Yogesh Kumar (2023). An automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology. Scientific Reports. ISSN: 2045-2322. 13 (1). doi:10.1038/s41598-023-37233-7.
  • Mortensen, Jon Andreas; Mollov, Martin Efremov; Chatterjee, Ayan; Ghose, Debasish; Li, Frank Yong (2023). Multi-Class Stress Detection Through Heart Rate Variability: A Deep Neural Network Based Study. IEEE Access. ISSN: 2169-3536. 11s 57470 - 57480. doi:10.1109/ACCESS.2023.3274478.
  • Chatterjee, Ayan; Pahari, Nibedita; Gerdes, Martin; Bajpai, Ram (2022). Analyze the Effect of Healthy Behavior on Weight Change and Its Conceptual Use in Digital Behavioral Intervention. 2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom). ISBN: 978-1-6654-8016-1. IEEE conference proceedings. Chapter. s 222 - 228.
  • Chatterjee, Ayan; Prinz, Andreas (2022). Applying Spring Security Framework with KeyCloak-Based OAuth2 to Protect Microservice Architecture APIs: A Case Study. Sensors. ISSN: 1424-8220. 22 (5). doi:10.3390/s22051703.
  • Chatterjee, Ayan; Pahari, Nibedita; Prinz, Andreas (2022). HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study. Sensors. ISSN: 1424-8220. 22 (10). doi:10.3390/s22103756.
  • Chatterjee, Ayan; Pahari, Nibedita; Riegler, Michael; Prinz, Andreas (2022). LSTM Step Prediction and Ontology-Based Recommendation Generation in Activity eCoaching. 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). ISBN: 978-1-6654-6975-3. IEEE conference proceedings. Chapter. s 13 - 18.
  • Chatterjee, Ayan; Pahari, Nibedita; Prinz, Andreas; Riegler, Michael (2022). Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation. Scientific Reports. ISSN: 2045-2322. 12doi:10.1038/s41598-022-24118-4.
  • Chatterjee, Ayan; Prinz, Andreas (2022). Personalized Recommendations for Physical Activity e-Coaching (OntoRecoModel): Ontological Modeling. JMIR Medical Informatics. ISSN: 2291-9694. 10 (6). doi:10.2196/33847.
  • Chatterjee, Ayan; Prinz, Andreas; Riegler, Michael (2022). Prediction Modeling in Activity eCoaching for Tailored Recommendation Generation: A Conceptualization. 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA). ISBN: 9781665482998. IEEE conference proceedings. Chapter.
  • Chatterjee, Ayan; Prinz, Andreas; Gerdes, Martin; Martinez, Santiago; Pahari, Nibedita; Meena, Yogesh Kumar (2022). ProHealth eCoach: user-centered design and development of an eCoach app to promote healthy lifestyle with personalized activity recommendations. BMC Health Services Research. ISSN: 1472-6963. 22doi:10.1186/s12913-022-08441-0.
  • Chatterjee, Ayan; Gerdes, Martin; Khatiwada, Pankaj; Prinz, Andreas (2022). SFTSDH: Applying Spring Security Framework with TSD-Based OAuth2 to Protect Microservice Architecture APIs. IEEE Access. ISSN: 2169-3536. 10s 41914 - 41934. doi:10.1109/ACCESS.2022.3165548.
  • Chatterjee, Ayan; Prinz, Andreas; Pahari, Nibedita; Das, Jishnu; Riegler, Michael (2022). Sleep Monitoring with Wearable Sensor Data in an eCoach Recommendation System: A Conceptual Study with Machine Learning Approach. Frontiers of ICT in Healthcare. ISBN: 978-981-19-5191-6. Springer Nature. LNNS,volume 519. s 551 - 564.
  • Chatterjee, Ayan; Gerdes, Martin; Prinz, Andreas; Martinez, Santiago (2021). A Comparative Study to Analyze the Performance of Advanced Pattern Recognition Algorithms for Multi-Class Classification. Emerging Technologies in Data Mining and Information Security. ISBN: 978-981-15-9773-2. Springer. Chapter. s 111 - 124.
  • Chatterjee, Ayan; Prinz, Andreas; Gerdes, Martin; Martinez, Santiago (2021). An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-Concept Study. Journal of Medical Internet Research. ISSN: 1438-8871. 23 (4). s 1 - 28. doi:10.2196/24656.
  • Chatterjee, Ayan (2021). Calculate Pulse from Touch Error Free PPG Signal with 2nd Order Butterworth Filter. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). ISBN: 978-1-6654-1262-9. IEEE. chapter.
  • Chatterjee, Ayan; Gerdes, Martin; Prinz, Andreas; Martinez, Santiago (2021). Comparing Performance of Ensemble-Based Machine Learning Algorithms to Identify Potential Obesity Risk Factors from Public Health Datasets. Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing. ISBN: 978-981-15-9926-2. Springer. Chapter. s 253 - 269.
  • Chatterjee, Ayan; Shahaab, Ali; Gerdes, Martin; Martinez, Santiago; Khatiwada, Pankaj (2021). Leveraging Technology for Healthcare and Retaining Access to Personal Health Data to Enhance Health and Well-being. Recent Trends in Computational Intelligence Enabled Research. ISBN: 978-0-12-822844-9. Elsevier. KAPITTEL 22. s 367 - 376.
  • Khatiwada, Pankaj; Bhusal, Hari; Chatterjee, Ayan; Gerdes, Martin (2020). A Proposed Access Control-Based Privacy Preservation Model to Share Healthcare Data in Cloud. IEEE International Conference on Wireless and Mobile Computing, Networking, and Communications. ISSN: 2160-4886. s 40 - 47. doi:10.1109/WiMob50308.2020.9253414.
  • Chatterjee, Ayan; Gerdes, Martin; Martinez, Santiago (2020). Development of a Smart e-Coach Recommendation System for Obesity. Studies in Health Technology and Informatics. ISSN: 0926-9630. 270s 1259 - 1260. doi:10.3233/SHTI200391.
  • Chatterjee, Ayan; Gerdes, Martin; Martinez, Santiago (2020). Identification of Risk Factors Associated with Obesity and Overweight - A Machine Learning Overview. Sensors. ISSN: 1424-8220. 20 (9). doi:10.3390/s20092734.
  • Chatterjee, Ayan; Gerdes, Martin; Prinz, Andreas; Martinez, Santiago; Medin, Anine Christine (2020). Reference Design Model for a Smart e-Coach Recommendation System for Lifestyle Support Based on ICT Technologies. eTELEMED 2020, The Twelfth International Conference on eHealth, Telemedicine, and Social Medicine. ISBN: 978-1-61208-763-4. International Academy, Research and Industry Association (IARIA). Chapter. s 52 - 58.
  • Chatterjee, Ayan; Gerdes, Martin; Martinez, Santiago (2020). Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death. Sensors. ISSN: 1424-8220. 20 (11). doi:10.3390/s20113089.
  • Chatterjee, Ayan; Gerdes, Martin; Martinez, Santiago (2019). eHealth Initiatives for The Promotion of Healthy Lifestyle and Allied Implementation Difficulties. 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). ISBN: 978-1-7281-3316-4. IEEE conference proceedings. chapter. s 7 - 14.
  • Chatterjee, Ayan; Prinz, Andreas (2018). Image Analysis on Fingertip Video to Obtain PPG. Biomedical and Pharmacology Journal (BPJ). ISSN: 0974-6242. 11 (4). s 1811 - 1827. doi:10.13005/bpj/1554.

Last changed: 14.03.2019 16:03