Aakash Tripathi

Conducting Multimodal Medical Research at Moffitt Cancer Center, check out our [Lab page], [GitHub page], and [HuggingFace page]

Education

• 2022.09-Present College of Engineering, University of South Florida Ph.D. in Electrical Engineering
• 2018.09-2022.06 Henry M. Rowan College of Engineering, Rowan University B.S in Electrical and Computer Engineering

Publications (Google Scholar, ORCID)

1. [DOI] Transformers in time-series analysis: A tutorial. Circuits, Systems, and Signal Processing 42, no. 12 (2023): 7433-7466.
   Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ravi P. Ramachandran, and Ghulam Rasool.

2. [DOI] A comparison of feature selection techniques for first-day mortality prediction in the ICU. In 2023 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5. IEEE, 2023.
   Jacob R. Epifano, Alison Silvestri, Alexander Yu, Ravi P. Ramachandran, Aakash Tripathi, and Ghulam Rasool.

3. [arXiv] Multimodal data integration for oncology in the era of deep neural networks: a review. arXiv preprint arXiv:2303.06471 (2023).
   Asim Waqas, Aakash Tripathi, Ravi P. Ramachandran, Paul Stewart, and Ghulam Rasool.

4. [DOI CODE] Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets. Sensors 24, no. 5 (2024): 1634.
   Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, and Ghulam Rasool.

5. [Abstract] SeNMo: A self-normalizing deep learning model for enhanced multi-omics data analysis in oncology. arXiv preprint arXiv:2405.08226 (2024).
   Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Matthew B. Schabath, Paul Stewart, Mia Naeini, and Ghulam Rasool.

6. [Abstract] Multimodal transformer model improves survival prediction in lung cancer compared to unimodal approaches. Cancer Research 84, no. 6_Supplement (2024): 4905-4905.
   Aakash Tripathi, Asim Waqas, Yasin Yilmaz, and Ghulam Rasool.

7. [Abstract] BIO24-030: Unifying Multimodal Data, Time Series Analytics, and Contextual Medical Memory: Introducing MINDS as an Oncology-Centric Cloud-Based Platform. Journal of the National Comprehensive Cancer Network 22, no. 2.5 (2024).
   Aakash Tripathi, Asim Waqas, and Ghulam Rasool.

8. [Abstract] BIO24-031: Hierarchical Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes. Journal of the National Comprehensive Cancer Network 22, no. 2.5 (2024).
   Asim Waqas, Aakash Tripathi, Ashwin Mukund, Paul Stewart, Mia Naeini, and Ghulam Rasool.

9. [arXiv Code Dataset] HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models. arXiv preprint arXiv:2405.07460 (2024).
   Aakash Tripathi, Asim Waqas, Yasin Yilmaz, and Ghulam Rasool.

10. [arXiv] SeNMo: A self-normalizing deep learning model for enhanced multi-omics data analysis in oncology. arXiv preprint arXiv:2405.08226 (2024).
    Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Matthew B. Schabath, Paul Stewart, Mia Naeini, and Ghulam Rasool.