Kanchan Jha is an Assistant professor in the Department of Computer Science and Engineering at BIT Mesra, Ranchi. She has previously held a faculty position at Mahindra University, Hyderabad. She received her Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Patna (IIT Patna) in August 2023 and did her postdoctoral research (Oct 2023–Oct 2024) at Duke University, USA.

Research Profile: Google Scholar

• Computational Biology
• Machine Learning
• Deep Learning
• Large Language Model

• Co-organized a workshop titled “Accessible and Efficient Foundation Models for Biological Discovery” as a part of ICML 2024 in Vienna, Austria, on July 27, 2024
• Our research article “Prediction of protein?protein interaction using graph neural networks” by Kanchan Jha, Sriparna Saha, Hiteshi Singh, published in Nature Scientific Reports on 19 May 2022 received 5327 article downloads in 2022, placing it as one of the top 100 downloaded Cell and Molecular Biology papers for Scientific Reports in 2022. Precisely it has placed 9th in the list of top 100 articles of 2022.
• Recipient of MHRD Fellowship from Ministry of Human Resource Development, Government of India as a PhD research scholar IIT Patna.
• Recipient of GATE Scholarship from AICTE as a postgraduate student (among top 2% all India; GATE-2016).

Journals (SCI/SCIE- 8)

• Kanchan Jha, Sourav Karmakar, and Sriparna Saha. “Graph-BERT and Language Model-based Framework for Protein-Protein Interaction Identification.” Scientific Reports (2023). [Impact Factor: 4.99, Quartile: Q1]
• Kanchan Jha, Sriparna Saha, and Sourav Karmakar. “Prediction of Protein-Protein Interactions using Vision Transformer and Language Model.” IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023). [Impact Factor: 3.702, Quartile: Q2]
• Kanchan Jha, Sriparna Saha, and Hiteshi Singh. ”Prediction of protein–protein interaction using graph neural networks.” Scientific Reports (2022): 1-12.  [ImpactFactor: 4.6, Quartile: Q1]
• Kanchan Jha, and Sriparna Saha. “Analyzing Effect of Multi-modality in Predicting Protein-Protein Interactions.” IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022). [ImpactFactor: 3.702,Quartile: Q2]
• Kanchan Jha, Sriparna Saha, and Pratik Dutta. “Incorporation of gene ontology in identification of protein interactions from biomedical corpus: a multi?modal approach.” Annals of Operations Research(2022): 1-19.[Impact Factor: 4.854, Quartile: Q1]
• Kanchan Jha, and Sriparna Saha. “Incorporation of multimodal multiobjective optimization in de signing a filter based feature selection technique.” Applied Soft Computing 98 (2021): 106823. [Impact Factor: 5.472, Quartile: Q1]
• Kanchan Jha, Sriparna Saha, and M.Tanveer. “Prediction of protein-protein interactions using stacked autoencoder.” Transactions on Emerging Telecommunications Technologies (2021): e4256. [Impact Factor: 1.594, Quartile: Q2]
• Kanchan Jha, and Sriparna Saha. “Amalgamation of 3D structure and sequence information for protein-protein interaction prediction.” Scientific Reports 10.1 (2020): 1-14. [Impact Factor:4.12, Quartile: Q1]

Conference Publications:

• Kanchan Jha, Sriparna Saha, and Snehanshu Saha. “Prediction of Protein-Protein Interactions using Deep Multi Modal Representations.”  2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. (Category A)
• Kanchan Jha, Sriparna Saha, and Matloob Khushi. “Protein-protein interactions prediction based on Bi-directional gated recurrent unit and multimodal representation.” International Conference on Neural Information Processing. Springer, Cham, 2020.  (Category A)

I have served as a verified peer reviewer for the following journals: –

• Nature Communications
• Nature Scientific Reports
• BMC Bioinformatics
• PLOS One
• Bioinformatics Advances
• Communications Biology
• Journal of Computational Biology
• IEEE Journal of Biomedical and Health Informatics(JBHI)
• IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
• IEEE Transactions on Artificial Intelligence
• IEEE Internet Computing
• Institution of Electronics and Telecommunication Engineers (IETE)