Shiva Aryal

According to our database, Shiva Aryal authored at least 13 papers between 2023 and 2025.

Collaborative distances:

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

2025

Digital Biomonitoring of Microbial Communities: a Phenotype Feature-driven AutoML Framework for Bacteria Classification.

Rupesh Kumar Yadav, Shiva Aryal, Bichar Dip Shrestha Gurung, Dikshya Bhandari, Graham Hartman, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Emerging Biofilm Marker with Thin-Film (CuO) Surface Engineering for Applications in Electrochemical Sensors.

Pawan Kumar Sapkota, Shiva Aryal, Bharat Jasthi, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Computational Validation of AlphaFold 3 as a Design Engine for Next Generation Aptamer Therapeutics.

Manish Rayamajhi, Shiva Aryal, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Digital Twin Forecasting of Quorum-Sensing Associated Biofilm Microorganisms in Urban Wastewater Over a 30-Week Interval.

Bichar Dip Shrestha Gurung, Tuyen Do, Shiva Aryal, Naina Maharjan, Dikshya Bhandari, Bipul Bhattarai, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Digital Twin COVID Tracker Using Wastewater Data: A Middle-School Led Study Within the U.S. NSF National Research Traineeship Program Framework.

Isha Srikari Gadhamshetty, Jeanne Gnimpieba, Neha Sriveda Gadhamshetty, Shiva Aryal, Arun Kalaga, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Minimal Features Subset Enabling Essential Gene Prediction Within and Between Organisms for Sulfate Reducing Bacteria Family.

Alain Bertrand Bomgni, Junior Basile Fofack, Shiva Aryal, Jerry Lonlac Konlac, Venkataramana Gadhamshetty, Etienne T. Gnimpieba

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Dimensional Reprojection and Sequential Modeling with Transformer Integration for Interesting Gene and Protein Recognition.

Alain Bertrand Bomgni, Feuzing Ntemma Donald, Shiva Aryal, Bichar Dip Shrestha Gurung, Venkataramana Gadhamshetty, Etienne Gnimpieba Zohim

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Biofilm marker discovery with cloud-based dockerized metagenomics analysis of microbial communities.

Etienne Z. Gnimpieba, Timothy W. Hartman, Tuyen Do, Jessica Zylla, Shiva Aryal, Samuel J. Haas, Diing D. M. Agany, Bichar Dip Shrestha Gurung, Valena Doe, Zelaikha B. Yosufzai, Daniel Pan, Ross Campbell, Victor C. Huber, Rajesh Kumar Sani, Venkataramana Gadhamshetty, Carol Lushbough

Briefings Bioinform., July, 2024

Leveraging Multi-AI Agents for Cross-Domain Knowledge Discovery.

Shiva Aryal, Tuyen Do, Bisesh Heyojoo, Sandeep Chataut, Bichar Dip Shrestha Gurung, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba

CoRR, 2024

Comparative Study of Domain Driven Terms Extraction Using Large Language Models.

Sandeep Chataut, Tuyen Do, Bichar Dip Shrestha Gurung, Shiva Aryal, Anup Khanal, Carol Lushbough, Etienne Z. Gnimpieba

CoRR, 2024

NFB-Checker: An AI/ML-Powered Microorganism Nitrogen Fixation Susceptibility Prediction from Gene Collection.

Tuyen Do, Shiva Aryal, Bichar Dip Shrestha Gurung, Diing D. M. Agany, Nick Klein, Ruanbao Zhou, Rajesh Kumar Sani, Etienne Z. Gnimpieba

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Utilizing XGBoost for the Prediction of Material Corrosion Rates from Embedded Tabular Data using Large Language Model.

Tuyen Do, Bichar Dip Shrestha Gurung, Shiva Aryal, Anup Khanal, Sandeep Chataut, Venkataramana Gadhamshetty, Carol Lushbough, Etienne Z. Gnimpieba

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

NLPADADE: Leveraging Natural Language Processing for Automated Detection of Adverse Drug Effects.

Alain Bertrand Bomgni, Claude Epiphanie Mbotchack Ngale, Shiva Aryal, Marcellin Julius Antonio Nkenlifack, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023