| 2025 | MICCAI | CXR-TFT: Multi-modal Temporal Fusion Transformer for Predicting Chest X-Ray Trajectories. | Mehak Arora, Ayman Ali, Kaiyuan Wu, Carolyn Davis, Takashi Shimazui, Mahmoud Alwakeel, Victor Moas, Philip Yang, Annette Esper, Rishikesan Kamaleswaran |
| 2024 | AIME | Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. | Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker |
| 2023 | KDD | Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes. | Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran |
| 2022 | AMIA | Challenges in Custom Machine Learning Model Implementation in a Vendor System: Use of a Deep Learning Model for Pediatric CLABSI Prediction. | Jonathan M. Beus, Edwin Ray, Sarah A. Thompson, Ryan Birmingham, Brad Cundiff, Mike Malto, Kevin Duncan, Dileep Gunda, Rishikesan Kamaleswaran, Evan Orenstein |
| 2022 | AMIA | Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence. | Jeffrey Smith, Christopher S. Josef, Yao Xie, Rishikesan Kamaleswaran |
| 2020 | AMIA | Predicting Volume Responsiveness Among Sepsis Patients Using Clinical Data and Continuous Physiological Waveforms. | Rishikesan Kamaleswaran, Jiaoying Lian, Dong-Lien Lin, Himasagar Molakapuri, Sri Manikanth Nunna, Parth Shah, Shiv Dua, Rema Padman |
| 2017 | VLDB | Effects of Varying Sampling Frequency on the Analysis of Continuous ECG Data Streams. | Ruhi Mahajan, Rishikesan Kamaleswaran, Oguz Akbilgic |
| 2014 | CBMS | A Real-Time Multi-dimensional Visualization Framework for Critical and Complex Environments. | Rishikesan Kamaleswaran, Carolyn McGregor |
| 2013 | CBMS | Cloud framework for real-time synchronous physiological streams to support rural and remote Critical Care. | Rishikesan Kamaleswaran, Anirudh Thommandram, Qi Zhou, J. Mikael Eklund, Yun Cao, W. P. Wang, Carolyn McGregor |
| 2010 | CBMS | A framework for nursing documentation enabling integration with HER and real-time patient monitoring. | Jennifer Percival, Carolyn McGregor, Nathan Percival, Rishikesan Kamaleswaran, Sascha Tuuha |