Dr. Susmita Palmal is an experienced academic and researcher in the field of Computer Science and Engineering. She is currently serving as a Regular Assistant Professor in the Department of Computer Science at Birla Institute of Technology, Mesra (Lalpur Campus), Ranchi. She has previously held faculty positions at Pranveer Singh Institute of Technology, Kanpur, and Ramgarh Engineering College, Jharkhand.

Dr. Palmal earned her Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Patna. Her research primarily focuses on bioinformatics, biomedical informatics, deep learning, machine learning, graph neural networks, multi-objective optimization, and artificial intelligence—with a strong emphasis on cancer prognosis and gene expression analysis. She also gained early research experience at the Indian Statistical Institute, Kolkata, where she worked on pattern recognition and classification techniques for biological data.

Dr. Palmal has over seven years of teaching experience in computer science, with interests spanning both theoretical and applied areas. Her research has appeared in journals such as Scientific Reports, Applied Soft Computing, and the IEEE Journal of Biomedical and Health Informatics. She has also presented at international conferences like IJCNN and ICONIP. Additionally, she has qualified the UGC-NET in Computer Science and Applications.

Her publications can be found at: https://scholar.google.com/citations?user=0eJGhioAAAAJ&hl=en

https://orcid.org/0000-0002-9965-6047 

Bioinformatics, deep learning, machine learning, multi-objective optimization, and artificial intelligence

1. Palmal, S., Saha, S., Arya, N., Tripathy, S.,  "CAGCL: Predicting Short- and Long-Term Breast Cancer Survival With Cross-Modal Attention and Graph Contrastive Learning," in IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 12, pp. 7382-7391, Dec. 2024, doi: 10.1109/JBHI.2024.3449756.

2. Palmal, S., Arya, N., Saha, S., Tripathy, S., Breast cancer survival prognosis using the graph convolutional network with Choquet fuzzy integral. Scientific Reports 13, 14757 (2023). https://doi.org/10.1038/s41598-023-40341-z

3. Palmal, S., Saha, S. & Tripathy, S. Multi-objective optimization with majority voting ensemble of classifiers for prediction of HIV-1 protease cleavage site. Soft Computing 27, 12211–12221 (2023). https://doi.org/10.1007/s00500-023-08431-2

4. Palmal, S., Arya, N., Saha, S., Tripathy S.,  "Integrative prognostic modeling for breast cancer: Unveiling optimal multimodal combinations using graph convolutional networks and calibrated random forest. " Applied Soft Computing 154 (2024): 111379.

5. Palmal, S., Arya, N., Saha, S., Tripathy S., (2023). A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis. In: Tanveer, M., Agarwal, S., Ozawa, S., Ekbal, A., Jatowt, A. (eds) Neural Information Processing. ICONIP 2022. Communications in Computer and Information Science, vol 1794. Springer, Singapore. https://doi.org/10.1007/978-981-99-1648-1_16

6. Palmal, S.,  Saha, S., Tripathy S., "HIV-1 Protease Cleavage Site Prediction using Stacked Autoencoder with Ensemble of Classifiers," 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, pp. 1-8, doi: 10.1109/IJCNN55064.2022.9892182.

7. Palmal, S., Saha, S., Tripathy, S. (2024). Integrating Multi-view Feature Extraction and Fuzzy Rank-Based Ensemble for Accurate HIV-1 Protease Cleavage Site Prediction. In: Luo, B., Cheng, L., Wu, ZG., Li, H., Li, C. (eds) Neural Information Processing. ICONIP 2023. Communications in Computer and Information Science, vol 1964. Springer, Singapore. https://doi.org/10.1007/978-981-99-8141-0_36

Peer reviewer for the following journals:

1. IEEE/ACM Transactions on Computational Biology and Bioinformatics
2. Expert systems with applications
3. PloS one
4. Scientific Reports
5. BMC Cancer
6. BMC Medical Informatics and Decision Making