Research

My research interest lies in harnessing artificial intelligence for medical applications by delving into the intricate intersection of technology and healthcare. I like to develop novel machine learning methods and apply these techniques to various problems in health and medicine.

AI for Healthcare | Machine Learning | Deep Learning | Digital Health

Publications

01.

PregBase: A comprehensive knowledge base for clinically relevant knowledge representation and biomarker prediction in pregnancy

Document

Artificial Intelligence in Medicine

Bhandari, A., Mehta, D., Verspoor, K., Spina, D., Xia, F. & Tyagi, S.

03.

Semantic Encoding in Medical LLMs for Vocabulary Standardisation

Document

HIKM '25: Proceedings of the 2025 18th Health Informatics Knowledge Management Conference

Mainwood, S.T., Bhandari, A. & Tyagi, S.

05.

Analyzing the dynamics of climate change discourse on twitter: A new annotated corpus and multi-aspect classification

Document

LREC-COLING 2024

Shiwakoti, S., Thapa, S., Rauniyar, K., Shah, A., Bhandari, A. & Naseem, U.

07.

CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict

Document

MMCM @ IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

Bhandari, A.*, Shah, S.B.*, Thapa, S.*, Naseem, U. & Nasim, M.

09.

The Confluence of AI and Blockchain in Tackling the COVID-19 Pandemic

Document

2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)

Bhandari, A., Shah, S. B., & Shambharkar, P. G.

02.

A comparative evaluation of handling missing data points and modalities in electronic health records

Document

International Journal of Medical Informatics

Bhandari, A. & Tyagi, S.

04.

Proactive behavior in voice assistants: A systematic review and conceptual model

Document

Computers in Human Behavior Reports

Bérubé, C., Nißen, M., Vinay, R., Geiger, A., Budig, T., Bhandari, A., Benito, C.R.P., Ibarcena, N., Pistolese, O., Li, P. and Sawad, A.B.

06.

Leveraging multimodal information in speech data for the non-invasive detection of Alzheimer’s disease

Document

2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)

Shah, S. B., Bhandari, A. & Shambharkar, P. G.

08.

Deep Learning Methods For COVID-19 Mitigation: Applications, Challenges and Future Implications

Document

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)

Shah, S. B., Bhandari, A., & Shambharkar, P. G.

10.

An Embodied Conversational Agent to Minimize the Effects of Social Isolation During Hospitalization

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ACIS 2022 Proceedings

Runner Up DH CRC sponsored Best Paper Award for the Digital Health Track

Smith, J., Bhandari, A., Yuksel, B., & Kocaballi, B.