@article{mokssit2026fhiragenteval,title={FHIR-AgentEval: A Modular Sandbox for Benchmarking Clinical LLM Agents with Memory-Augmented Configurations},author={Mokssit, Youssef and Ravi</u>, <u>Kamalakkannan and Nie, Mengshu and Kim, Junyoung and Liu, Cong},journal={npj Digital Medicine},year={2026},month=sep,note={Accepted, in press. Preprint: Research Square (PMID 41727598).},url={https://doi.org/10.21203/rs.3.rs-8746188/v1},}
TRuST-M: Evaluating User Trust and Explainability in LLM-Based Web Moderation Systems
Kamalakkannan Ravi, Hemant Surale, and Jiann-Shiun Yuan
In Companion Proceedings of the 19th ACM International Conference on Web Search and Data Mining (WSDM Companion ’26), Feb 2026
Best Paper Award, AIIM Web and Graph 2026 workshop at ACM WSDM 2026.
@inproceedings{ravi2026trustm,title={TRuST-M: Evaluating User Trust and Explainability in LLM-Based Web Moderation Systems},author={Ravi</u>, <u>Kamalakkannan and Surale, Hemant and Yuan, Jiann-Shiun},booktitle={Companion Proceedings of the 19th ACM International Conference on Web Search and Data Mining (WSDM Companion '26)},address={Boise, ID, USA},pages={73--83},year={2026},month=feb,note={Best Paper Award, AIIM Web and Graph 2026 workshop at ACM WSDM 2026.},url={https://doi.org/10.1145/3779211.3793172},doi={10.1145/3779211.3793172},}
Under review
Evaluating Large Language Model Agents for Genetic Testing Insurance Workflows: An End-to-End Assessment of Retrieval and Reliability
@unpublished{kim2026insurance,title={Evaluating Large Language Model Agents for Genetic Testing Insurance Workflows: An End-to-End Assessment of Retrieval and Reliability},author={Kim, Junyoung and Ravi</u>, <u>Kamalakkannan and Liu, Cong},year={2026},note={Manuscript under review.},}
medRxiv
RESCUE: An End-to-End Multi-Agent LLM System for Proactive Rare-Disease Patient Screening in the EHR
Cong Liu, Alexa Geltzeiler, Adam Afyouni, and 5 more authors
@article{liu2026rescue,title={RESCUE: An End-to-End Multi-Agent LLM System for Proactive Rare-Disease Patient Screening in the EHR},author={Liu, Cong and Geltzeiler, Alexa and Afyouni, Adam and Nie, Mengshu and Ravi</u>, <u>Kamalakkannan and French, Courtney and Wojcik, Monica and Chung, Wendy K.},journal={medRxiv},year={2026},month=jul,note={Preprint.},url={https://doi.org/10.64898/2026.06.24.26356357},doi={10.64898/2026.06.24.26356357},}
2025
ALERT: Active Learning and Explainable AI for Robust Threat Detection in Telegram
@article{ravi2025ALERT,title={ALERT: Active Learning and Explainable AI for Robust Threat Detection in Telegram},author={Ravi</u>, <u>Kamalakkannan and Yuan, Jiann-Shiun},year={2025},publisher={Association for Computing Machinery},address={New York, NY, USA},url={https://dl.acm.org/doi/10.1145/3758967},doi={10.1145/3758967},journal={Digital Threats},month=sep,volume={6},}
2024
ThreatGram101: Extreme Telegram Replies Data with Threat Levels
Kamalakkannan Ravi, and Jiann-Shiun Yuan
In Annual International Conference on Information Management and Big Data, May 2024
@inproceedings{ravi2024threatgram101,title={ThreatGram101: Extreme Telegram Replies Data with Threat Levels},author={Ravi</u>, <u>Kamalakkannan and Yuan, Jiann-Shiun},booktitle={Annual International Conference on Information Management and Big Data},pages={275--291},year={2024},month=may,url={https://link.springer.com/chapter/10.1007/978-3-031-91428-7_20},doi={10.1007/978-3-031-91428-7_20},organization={Springer}}
Ideological orientation and extremism detection in online social networking sites: A systematic review
@article{ravi2024ideological,title={Ideological orientation and extremism detection in online social networking sites: A systematic review},journal={Intelligent Systems with Applications},pages={200456},year={2024},month=dec,issn={2667-3053},url={https://www.sciencedirect.com/science/article/pii/S2667305324001303},author={Ravi</u>, <u>Kamalakkannan and Yuan, Jiann-Shiun},publisher={Elsevier},doi={10.1016/j.iswa.2024.200456}}
Comprehensive dataset of user-submitted articles with ideological and extreme bias from Reddit
@article{ravi2024dataset,title={Comprehensive dataset of user-submitted articles with ideological and extreme bias from Reddit},journal={Data in Brief},volume={56},pages={110849},year={2024},month=oct,issn={2352-3409},publisher={Elsevier},url={https://www.sciencedirect.com/science/article/pii/S2352340924008138},author={Ravi</u>, <u>Kamalakkannan and Vela, Adan Ernesto},doi={10.1016/j.dib.2024.110849}}
@article{ravi2024rico,title={RICo: Reddit ideological communities},author={Ravi</u>, <u>Kamalakkannan and Vela, Adan Ernesto},journal={Online Social Networks and Media},volume={42},pages={100279},month=aug,year={2024},publisher={Elsevier},url={https://www.sciencedirect.com/science/article/abs/pii/S2468696424000041?via%3Dihub},doi={10.1016/j.osnem.2024.100279}}
2023
Exploring Multi-Level Threats in Telegram Data with AI-Human Annotation: A Preliminary Study
Kamalakkannan Ravi, Adan Ernesto Vela, Elizabeth Jenaway, and 1 more author
In Proceedings of the 2023 22nd IEEE International Conference on Machine Learning and Applications (ICMLA), Dec 2023
@inproceedings{ravi2023exploring,author={Ravi</u>, <u> Kamalakkannan and Vela, Adan Ernesto and Jenaway, Elizabeth and Windisch, Steven},booktitle={Proceedings of the 2023 22nd IEEE International Conference on Machine Learning and Applications (ICMLA)},title={Exploring Multi-Level Threats in Telegram Data with AI-Human Annotation: A Preliminary Study},year={2023},month=dec,pages={1520-1527},organization={IEEE},doi={10.1109/ICMLA58977.2023.00229}}
2022
Classifying the Ideological Orientation of User-Submitted Texts in Social Media
Kamalakkannan Ravi, Adan Ernesto Vela, and Rickard Ewetz
In Proceedings of the 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Dec 2022
@inproceedings{ravi2022classifying,title={Classifying the Ideological Orientation of User-Submitted Texts in Social Media},author={Ravi</u>, <u> Kamalakkannan and Vela, Adan Ernesto and Ewetz, Rickard},booktitle={Proceedings of the 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)},pages={413--418},month=dec,year={2022},organization={IEEE},doi={10.1109/ICMLA55696.2022.00066}}
2021
79 MISSED DIAGNOSIS OF PANCREATIC DUCTAL ADENOCARCINOMA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORK
Sanne A. Hoogenboom, Kamalakkannan Ravi, Megan M. Engels, and 5 more authors
@article{HOOGENBOOM2021S-18,title={79 MISSED DIAGNOSIS OF PANCREATIC DUCTAL ADENOCARCINOMA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORK},journal={Gastroenterology},volume={160},number={6, Supplement },pages={S-18},year={2021},month=may,issn={0016-5085},url={https://www.sciencedirect.com/science/article/pii/S0016508521007940},author={Hoogenboom, Sanne A. and Ravi, Kamalakkannan and Engels, Megan M. and Irmakci, Ismail and Keles, Elif and Bolan, Candice W. and Wallace, Michael B. and Bagci, Ulas},doi={10.1016/S0016-5085(21)00794-0}}
2018
Breast cancer histology classification using Deep Residual Networks
Kamalakkannan Ravi, Sakthivel Selvaraj, Supriti Mulay, and 2 more authors
In Research Poster Papers of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2018
@inproceedings{ravi2022breast,title={Breast cancer histology classification using Deep Residual Networks},author={Ravi</u>, <u> Kamalakkannan and Selvaraj, Sakthivel and Mulay, Supriti and Ram, Keerthi and Sivaprakasam, Mohanasankar},booktitle={Research Poster Papers of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},year={2018},month=jul,organization={IEEE},url={https://www.researchgate.net/publication/374471906_Breast_cancer_histology_classification_using_Deep_Residual_Networks},doi={10.13140/RG.2.2.22094.43840}}
Deep Residual Network based Automatic Image Grading for Diabetic Macular Edema
Santhosh Kumar, Kamalakkannan Ravi, Supriti Mulay, and 2 more authors
In Research Poster Papers of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2018
@inproceedings{Santhosh2018deep,title={Deep Residual Network based Automatic Image Grading for Diabetic Macular Edema},author={Kumar, Santhosh and Ravi</u>, <u> Kamalakkannan and Mulay, Supriti and Ram, Keerthi and Sivaprakasam, Mohanasankar},booktitle={Research Poster Papers of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},year={2018},month=jul,organization={IEEE},url={https://www.researchgate.net/publication/374471910_Deep_Residual_Network_based_Automatic_Image_Grading_for_Diabetic_Macular_Edema},doi={10.13140/RG.2.2.24611.02082/1}}
2014
Imagined speech classification using EEG
Kamalakkannan Ravi, R Rajkumar, RM Madan, and 1 more author
Advances in Biomedical Science and Engineering (ABSE), Nov 2014
@article{kamalakkannan2014imagined,title={Imagined speech classification using EEG},author={Ravi</u>, <u> Kamalakkannan and Rajkumar, R and Madan, RM and Shenbaga, DS},journal={Advances in Biomedical Science and Engineering (ABSE)},publisher={Scientific Online Publishing},volume={1},number={2},pages={20--32},year={2014},month=nov,url={https://www.researchgate.net/publication/309967859_Imagined_Speech_Classification_using_EEG},doi={10.5281/zenodo.13888262}}