Publications

Journal Articles:

Peer Reviewed Journals:

-Shakya, S., & Ceh-Varela, E. (2025). Social media analytics for investigations: A survey of recent trends, challenges and future research direction. Journal of Social Media Research, 2(4), 297–318. https://doi.org/10.29329/jsomer.57  Link

-Bista, P., Shakya, S. R., Acharya, P., & Ghimire, R. (2025). Evaluating machine learning models for greenhouse gas emissions prediction in diversified semi‐arid cropping systems. Soil Science Society of America Journal, 89(2), e70057.  Link

-Edgar Ceh-Varela, Sarbagya Ratna Shakya, Essa Imhmed. Challenges in Detecting Nuanced Sentiment with Advanced Models. Cloud Computing and Data Science [Internet]. 2025 Mar. 11 [cited 2025 Mar. 21];6(2):115-3. Available from: https://ojs.wiserpub.com/index.php/CCDS/article/view/6316. Link

-Edgar Ceh Varela, Maes L, Sarbagya Ratna Shakya, " Machine Learning Analysis of factors Contributing to Diabetes Development". Cloud Computing and Data Science [Internet]. 2024 Jan,3;5(1):157-82. DOI: https://doi.org/10.37256/ccds.5120243751. Link

-Shakya SR, Kube M, Zhou Z. A comparative analysis of machine learning approach for optimizing antenna design. International Journal of Microwave and Wireless Technologies. Published online 2023:1-11. doi:10.1017/S1759078723001009 . Link

-Sarbagya Ratna Shakya, Chaoyang Zhang, and Zhaoxian Zhou, "Comparative Study of Machine Learning and Deep Learning Architecture for Human Activity Recognition

Using Accelerometer Data," International Journal of Machine Learning and Computing vol. 8, no. 6, pp. 577-582, 2018. Link

-Qingzhong Liu, Zhaoxian Zhou, Sarbagya Ratna Shakya, Prathyusha Uduthalapally, Mengyu Qiao, and Andrew H. Sung, "Smartphone Sensor-Based Activity Recognition by Using Machine Learning and Deep Learning Algorithms," International Journal of Machine Learning and Computing vol. 8, no. 2, pp. 121-126, 2018. Link

Conference Paper:

-S. R. Shakya, E. Ceh-Varela and I. Sanjaya, "Lung Cancer Classification Using Deep Learning Models for Edge Computing. A Comparative Analysis," 2025 IEEE International Conference on AI and Data Analytics (ICAD), Medford, MA, USA, 2025, pp. 1-6, doi: 10.1109/ICAD65464.2025.11114044. link

- S. R. Shakya, E. Ceh-Varela, J. Martinez, M. Fisher and H. Allamehzadeh, "Optimized CNN-Based Fall Detection for Elderly Using Wearable Devices on Resource-Constrained Devices," 2025 IEEE 18th Dallas Circuits and Systems Conference (DCAS), Arlington, TX, USA, 2025, pp. 1-6, doi: 10.1109/DCAS65331.2025.11045488. Link

-S. R. Shakya, E. Ceh-Varela, S. Shakya, C. Parten and Z. Zhou, "Boosting Stock Predictions with Sentiment Analysis and Deep Learning Models," 2025 IEEE 4th International Conference on AI in Cybersecurity (ICAIC), Houston, TX, USA, 2025, pp. 1-6, doi: 10.1109/ICAIC63015.2025.10849008. Link

-K. C. Nunna, Z. Zhou and S. R. Shakya, "Time Series Forecasting of U.S. Housing Price Index Using Machine and Deep Learning Techniques," 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Nadi, Fiji, 2023, pp. 1-6, doi: 10.1109/CSDE59766.2023.10487733. Link

-H. Allamehzadeh and S. Shakya, "Renewable Energy Power Assimilation to the Smart Grid and Electric Vehicles via Wireless Power Transfer Technology," 2023 IEEE Green Technologies Conference (GreenTech), Denver, CO, USA, 2023, pp. 275-279, Doi: 10.1109/GreenTech56823.2023.10173788. Link

-Sarbagya Ratna Shakya, Chaoyang Zhang, Zhaoxian Zhou, “Basketball-51: A Video Dataset for Activity Recognition in the Basketball Game”, 11th International Conference on Computer Science and Information Technology (CCSIT 2021), pp. 141-153,2021. CS&IT-CSCP 2021. Link

-Zhaoxian Zhou, Sarbagya Shakya, and Zhanxin Sha, “Predicting Countermovement Jump Heights by Time domain, Frequency domain, and Machine Learning Algorithms”, 10th International Symposium on Computational Intelligence and Design (ISCID), Vol. 2, pp.167-170, Hangzhou, China, December 9-10, 2017. Link

-Manita Baral Kharel and Sarbagya Ratna Shakya. “Simulation on Effect of Doppler shift in Fading channel and Imperfect Channel Estimation for OFDM in Wireless Communication.” (2015).

Book Chapters:

 -Edgar Ceh-Varela, Sarbagya Ratna Shakya,Chapter 2 - Fundamentals of graph theory and biological networks,Editor(s): Sudan Jha, Sultan Ahmad, Subhendukumar Pani,Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery,Academic Press,2026,Pages 31-62,

ISBN 9780443276088,https://doi.org/10.1016/B978-0-443-27608-8.00007-2.(https://www.sciencedirect.com/science/article/pii/B9780443276088000072) Link

-Shakya, S. R. (2025). Artificial intelligence in industrial applications. In Soft Computing in Smart Manufacturing and Materials (pp. 157-167). Elsevier.

 -Jha, S., Shakya, S. R., & Ahmad, S. (2024). Data wrangling in smart devices. In Quality Assessment and Security in Industrial Internet of Things (1st ed., p. 18). CRC Press. https://doi.org/10.1201/9781003530572

-Shakya, S. R., & Jha, S. (2024). Chapter Introduction to Industrial Internet of Things (IIoT) – toward the future internet. In Quality Assessment and Security in Industrial Internet of Things (1st ed., p. 19). CRC Press. https://doi.org/10.1201/9781003530572        

-S. R. Shakya and S. Jha, “Chapter 9 - Internet of Things Application in Life Sciences,” on the Internet of Things in Biomedical Engineering, V. E. Balas, L. H. Son, S. Jha, M. Khari, and R. Kumar, Eds. Academic Press, 2019, pp. 213–233.

-Shakya, SR; Jha, S. Challenges in Industrial Internet of Things (IIoT). In Industrial Internet of Things; CRC Press: Boca Raton, FL, USA, 2022; PP 19-39

Boooks( Edited/authored)

Selected Poster presentation( students):

-(1st Prize winner, Undergraduate Category), Paola Pereda, Prabha Shrestha, Sarbagya Ratna Shakya, " Application of Machine learning methods to analyze students repayment status of federal loans 7 years after graduation”, New Mexico Research Symposium, 2024.

-(1st Prize winner, Graduate Category), Soneya Shakya, Sarbagya Ratna Shakya, " Stock Price Prediction using Sentiment Analysis and Machine Learning", New Mexico Research Symposium, 2023.

-(3rd Prize winner, Undergraduate Category), Mathew Kube, Sarbagya Ratna Shakya, " A Machine Learning Approach for Optimizing Antenna Design, New Mexico Research Symposium, 2022.