Venkataramana Gadhamshetty

According to our database1, Venkataramana Gadhamshetty authored at least 35 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Digital Biomonitoring of Microbial Communities: a Phenotype Feature-driven AutoML Framework for Bacteria Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

A Physics-First, Physics-Gated AI Framework for Verifiable Biofilm Sensing.
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.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

AI-Driven Sensor-Omics Framework for Detecting Antibiotic Resistance in Environmental Engineering Systems.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Development and OMICs Evaluation of Antibiofilm Material Using Hexanoic-Anhydride Modified Chitosan Electrospun Fibers Embedded with Silver Nanoparticles for Antibacterial Effects.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Toward Autonomous Biofilm Engineering: A Vision for a Digital Twin-Based Lab Automation.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Functional Biofilm-Associated Microbial Markers in a Colorectal Cancer Cohort: Evidence for Quorum Sensing, Exopolysaccharide Production, and Biofilm-Driven Pathogenesis.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

A Convergence Roadmap for AI-Enabled, Omics-Guided Living-Interface Engineering. A National Science Foundation (NSF) National Research Traineeship (NRT) Initiative.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Heterogeneous Graph Network (HGN) for Binary Spatio-Chemical-Source Classification of Per- and Polyfluoroalkyl Substances (PFAS) Contamination: An Optimized Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Dual-Level Bayesian Predictive Modeling of Biological Nitrogen Fixation: The Effect of TPE Bayesian Optimization on Stacked Model Performance.
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.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Biofilm marker discovery with cloud-based dockerized metagenomics analysis of microbial communities.
Briefings Bioinform., July, 2024

Leveraging Multi-AI Agents for Cross-Domain Knowledge Discovery.
CoRR, 2024

Enhancing Sulphate Reducing Bacteria Clustering by Implementing UMAP on Raman Spectroscopy Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

AIM-HKR: AI-Driven Molecular Retrosynthesis Using Heterogeneous Knowledge Representations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Artificial Intelligence-Driven Image Analysis of Bacterial Cells and Biofilms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

BiofilmScanner: A Computational Intelligence Approach to Obtain Bacterial Cell Morphological Attributes from Biofilm Image.
CoRR, 2023

Machine Learning-Assisted Optical Detection of Multilayer Hexagonal Boron Nitride for Enhanced Characterization and Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Transformer in Microbial Image Analysis: A Comparative Exploration of TransUNet, UNet, and DoubleUNet for SEM Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Utilizing XGBoost for the Prediction of Material Corrosion Rates from Embedded Tabular Data using Large Language Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Computational methods for biofouling and corrosion-resistant graphene nanocomposites. A transdisciplinary approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Self-Supervised Scribble-based Segmentation of Single Cells in Biofilms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

NLPADADE: Leveraging Natural Language Processing for Automated Detection of Adverse Drug Effects.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Fine-tuning a pre-trained Transformers-based model for gene name entity recognition in biomedical text using a customized dataset: case of Desulfovibrio vulgaris Hildenborough.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Semantic Image Segmentation Using Scant Pixel Annotations.
Mach. Learn. Knowl. Extr., 2022

Using BASIN-ML for Machine Learning-Based Statistical Analysis and Reporting for Biofilm Datasets.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Leveraging Weak annotations for Deep learning tasks on Biofilm Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Automatic Extension of Medical Subject Headings (MeSH) Thesaurus to Emerging Research.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

GenNER - A highly scalable and optimal NER method for text-based gene and protein recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
A Thrifty Annotation Generation Approach for Semantic Segmentation of Biofilms.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020


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