Publications

2022

2021

• [Doctoral dissertation] Mukhiya, Suresh Kumar (2021). A Software Framework for Adaptive and Interoperable Internet-Delivered Psychological Treatments. Western Norway University of Applied Sciences.https://hdl.handle.net/11250/2778982

• [Journal] Nordgreen, Tine, et al. "Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health." Journal of Enabling Technologies (2021).

• [Journal] Mukhiya, Suresh Kumar, and Yngve Lamo. "An HL7 FHIR and GraphQL Approach for Interoperability between Heterogeneous Electronic Health Record Systems." Health Informatics Journal, July 2021, https://doi.org/10.1177%2F14604582211043920.

• [Journal] Ahmed, U., Kumar Mukhiya, S., Lin, J. C.-W., Srivastava, G., & Lamo, Y. (2021). Attention-based Deep Entropy Active Learning using Lexical Algorithm for Mental Health Treatment. Frontiers in Psychology, 12, 471. https://doi.org/10.3389/FPSYG.2021.642347.

• [Book chapter] S. Mukhiya, A. Aminifar, F. Rabbi, V. Pun, and Y. Lamo. Artificial Intelligence in Mental Health. Bentham Science Publishers LTD., pages 13–34, 2021.

2020

• [Journal] Mukhiya SK, Wake JD, Inal Y, Pun KI, Lamo Yngve, Adaptive Elements in Internet-Delivered Psychological Treatment Systems: Systematic Review, JMIR, doi: https://doi.org/10.2196/21066.

• [Conference] Ahmed U., Lin J.CW., Wu J.MT., Djenouri Y., Srivastava G., Mukhiya S.K. (2020) Efficient Mining of Pareto-Front High Expected Utility Patterns. In: Fujita H., Fournier-Viger P., Ali M., Sasaki J. (eds) Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices. IEA/AIE 2020. Lecture Notes in Computer Science, vol 12144. Springer, Cham. https://doi.org/10.1007/978-3-030-55789-8_74

• [Technical Book] Suresh Kumar Mukhiya, Usman Ahmed Hands-On Exploratory Data Analysis with Python (PAKT Publication, February 2020, co-author)

• [Journal] S. K. Mukhiya, J. D. Wake, Y. Inal and Y. Lamo, "Adaptive Systems for Internet-Delivered Psychological Treatments," in IEEE Access, vol. 8, pp. 112220-112236, 2020, doi: 10.1109/ACCESS.2020.3002793.

• [Conference] Suresh Kumar Mukhiya, Usman Ahmed, Fazle Rabbi, Ka I Pun, & Yngve Lamo (EasyChair, 2020). Adaptation of IDPT System Based on Patient-Authored Text Data Using NLP.

2019

• [Conference] Oda E. Nordberg, Suresh Kumar Mukhiya, Frode Guribye, Eivind Flobak, Robin Kenter, Daniel A. Jensen, Astri Lundervold, Tine Nordgreen . The design of a chatbot for guiding peer support chats between adults with ADHD , May 14, 2019 (https://www.norsrii.no/)

• [Conference] Suresh Kumar Mukhiya, Fazle Rabbi, Ka I Pun, Adrian Rutle, Yngve Lamo. A GraphQL approach to Healthcare Information Exchange with HL7 FHIR, DOI: 10.13140/RG.2.2.22981.19680

• [Workshop] Suresh Kumar Mukhiya, Fazle Rabbi, Ka I Pun, Yngve Lamo. An architectural design for self-reporting e-health systems, DOI: 10.13140/RG.2.2.14802.30404

• [Journal Paper] Mukhiya, Suresh Kumar, & Hoang Hung, K. (2018). An Architectural Style for Single Page Scalable Modern Web Application, 5(4), 6–13, International Journal of Recent Research Aspects ISSN: 2349-7688, Vol. 5

2018

• [Technical Book] James Lee , Tao Wei, Suresh Kumar Mukhiya hands-on big data modeling (pakt publication)

• [Technical Book] James Lee , Tao Wei, Suresh Kumar Mukhiya Getting Started with Redux (PAKT Publication, February 2019, co-author)

• [Academic Notes] Suresh Kumar Mukhiya, Lilash Sah, Monica Regemi, Lab in C programming (SAS WEB Tech, 1st Edition, 2018)

2016

• [Master Thesis] Suresh Kumar Mukhiya, Predicting next click log using process mining (Master Thesis)

• [Master Project] Suresh Kumar Mukhiya, Manasa Vallamkondu, User Segmentation: Revealing User Characteristics From Interaction Logs (Master Project)