Sita Sirisha Madugula

According to our database, Sita Sirisha Madugula authored at least 4 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy.

Utkarsh Pratiush, Austin Houston, Kamyar Barakati, Aditya Raghavan, Dasol Yoon, Harikrishnan KP, Zhaslan Baraissov, Desheng Ma, Samuel S. Welborn, Mikolaj Jakowski, Shawn-Patrick Barhorst, Alexander J. Pattison, Panayotis Manganaris, Sita Sirisha Madugula, Sai Venkata Gayathri Ayyagari, Vishal Kennedy, Ralph Bulanadi, Michelle Wang, Kieran J. Pang, Ian Addison-Smith, Willy Menacho, Horacio V. Guzman, Alexander Kiefer, Nicholas Furth, Nikola L. Kolev, Mikhail Petrov, Viktoriia Liu, Sergey Ilyev, Srikar Rairao, Tommaso Rodani, Ivan Pinto-Huguet, Xuli Chen, Josep Cruañes, Marta Torrens, Jovan Pomar, Fanzhi Su, Pawan Vedanti, Zhiheng Lyu, Xingzhi Wang, Lehan Yao, Amir Taqieddin, Forrest Laskowski, Xiangyu Yin, Yu-Tsun Shao, Benjamin Fein-Ashley, Yi Jiang, Vineet Kumar, Himanshu Mishra, Yogesh Paul, Adib Bazgir, Rama Chandra Praneeth Madugula, Yuwen Zhang, Pravan Omprakash, Jian Huang, Eric Montufar-Morales, Vivek Chawla, Harshit Sethi, Jie Huang, Lauri Kurki, Grace Guinan, Addison Salvador, Arman H. Ter-Petrosyan, Madeline Van Winkle, Steven R. Spurgeon, Ganesh Narasimha, Zijie Wu, Richard Liu, Yongtao Liu, Boris N. Slautin, Andrew R. Lupini, Rama K. Vasudevan, Gerd Duscher, Sergei V. Kalinin

CoRR, June, 2025

2024

Identification of Family-Specific Features in Cas9 and Cas12 Proteins: A Machine Learning Approach Using Complete Protein Feature Spectrum.

Sita Sirisha Madugula, Pranav Pujar, Bharani Nammi, Shouyi Wang, Vindi M. Jayasinghe-Arachchige, Tyler Pham, Dominic Mashburn, Maria Artiles, Jin Liu

J. Chem. Inf. Model., 2024

Image Segmentation of Bacterial Biofilms to Study Pathogen-Surface Interactions.

Sita Sirisha Madugula, Blythe Dumerer, Ruben Millan-Solsona, Checa Nualart Marti, Liam Collins, Rama K. Vasudevan, Retterer Scott, Lance Zhang, Spencer Cox, Jennifer Lynn Morrell-Falvey

Proceedings of the IEEE International Conference on Big Data, 2024

2021

Molecular descriptor analysis of approved drugs using unsupervised learning for drug repurposing.

Sita Sirisha Madugula, Lijo John, Selvaraman Nagamani, Anamika Singh Gaur, Vladimir Poroikov, G. Narahari Sastry

Comput. Biol. Medicine, 2021