Rahul Gomes, Ph.D.

Rozario, P., et al. "Optimizing Mobile Vision Transformers for Land Cover Classification," in Applied Sciences, vol. 14, no. 13, 2024.

Hasan, M., et al, "Vision Transformer-based Classification for Lung and Colon Cancer using Histopathology Images," in 2023 International Conference on Machine Learning and Applications (ICMLA), 2023, pp. 1300–1304.

Hebert, J., et al. "High-performance computing in undergraduate education at primarily undergraduate institutions in Wisconsin: Progress, challenges, and opportunities," in Education and Information Technologies, pp. 1–25, 2024.

Gomes, R., et al. "Analysis of Swin-UNet vision transformer for Inferior Vena Cava filter segmentation from CT scans," in Artificial Intelligence in the Life Sciences, vol. 4, pp. 100084, 2023.

Chowdhury, M., et al, "ChatGPT: The Curious Case of Attack Vectors' Supply Chain Management Improvement," in 2023 IEEE International Conference on Electro Information Technology (eIT), 2023, pp. 499–504.

Rozario, P., et al, "Deep Learning Patch-Based Approach for Hyperspectral Image Classification," in 2023 IEEE International Conference on Electro Information Technology (eIT), 2023, pp. 458–463.

Chowdhury, M., et al, "Chatgpt: A threat against the CIA triad of cyber security," in 2023 IEEE International Conference on Electro Information Technology (eIT), 2023, pp. 1–6.

Rahman, M., et al, "Deep learning application for detection of malaria," in 2023 IEEE International Conference on Electro Information Technology (eIT), 2023, pp. 1–5.

Gomes, R., et al. "High variation across E. coli hybrid isolates identified in metabolism-related biological pathways co-expressed with virulent genes," in Gut microbes, vol. 15, no. 1, pp. 2228042, 2023.

Ghosh, A., et al, "Inter-institutional Resource Sharing in Undergraduate HPC Education: Interviews with University Administrators," in Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1, 2023, pp. 848–853.

Gomes, R., et al. "Application of deep learning to IVC filter detection from CT scans," in Diagnostics, vol. 12, no. 10, pp. 2475, 2022.

Denton, A., et al. "Large-Window Curvature Computations for High-Resolution Digital Elevation Models.," in IEEE Trans. Geosci. Remote. Sens., vol. 60, pp. 1–20, 2022.

Gomes, R., et al. "Application of feature selection and deep learning for cancer prediction using DNA methylation markers," in Genes, vol. 13, no. 9, pp. 1557, 2022.

Gomes, R., et al. "A comprehensive review of machine learning used to combat COVID-19," in Diagnostics, vol. 12, no. 8, pp. 1853, 2022.

Ahsan, M., et al. "Cybersecurity threats and their mitigation approaches using Machine Learning—A Review," in Journal of Cybersecurity and Privacy, vol. 2, no. 3, pp. 527–555, 2022.

Ahsan, M., et al, "Intrusion detection for IoT network security with deep neural network," in 2022 IEEE International Conference on electro information technology (eIT), 2022, pp. 467–472.

Rifat, N., et al, "Bert against social engineering attack: Phishing text detection," in 2022 IEEE International Conference on Electro Information Technology (eIT), 2022, pp. 1–6.

Ahsan, M., et al, "Detecting cyber attacks: A reinforcement learning based intrusion detection system," in 2022 IEEE International Conference on Electro Information Technology (eIT), 2022, pp. 461–466.

Rifat, N., et al, "Covid-19 sentiment analysis applying bert," in 2022 IEEE International Conference on Electro Information Technology (eIT), 2022, pp. 417–422.

Wildenberg, J., et al. "Abstract No. 144 Automated IVC filter detection from abdominopelvic CT exams using deep learning," in Journal of Vascular and Interventional Radiology, vol. 33, no. 6, pp. S67, 2022.

R. Gomes, P. Rozario, N. Adhikari, "Deep learning optimization in remote sensing image segmentation using dilated convolutions and ShuffleNet," in 2021 IEEE International Conference on Electro Information Technology (EIT), 2021, pp. 244–249.

P. Rozario, R. Gomes, "Comparison of data mining algorithms in remote sensing using Lidar data fusion and feature selection," in 2021 IEEE International Conference on Electro Information Technology (EIT), 2021, pp. 236–243.

Ahsan, M., et al. "Enhancing machine learning prediction in cybersecurity using dynamic feature selector," in Journal of Cybersecurity and Privacy, vol. 1, no. 1, pp. 199–218, 2021.

M. Ahsan, R. Gomes, A. Denton, "Application of a convolutional neural network using transfer learning for tuberculosis detection," in 2019 IEEE International Conference on Electro Information Technology (EIT), 2019, pp. 427–433.

R. Gomes, A. Denton, J. Straub, "Comparative study of fitness function in genetic algorithm for optimal site allocation using Lidar," in 2019 IEEE International Conference on Electro Information Technology (EIT), 2019, pp. 255–260.

R. Gomes, A. Denton, D. Franzen, "Comparing classification accuracy of NDVI with DEM derived attributes using multi-scalar approach in Geographic Information Systems," in 2019 IEEE International Conference on Electro Information Technology (EIT), 2019, pp. 249–254.

M. Witham, I. Bender, R. Gomes, "Comparative Analysis of MariaDB’s Performance Efficiency as a Suitable Replacement for MySQL," in MidWest Instruction and Computing Symposium 2019.

D. Kamalanathan, R. Gomes, "Comparing NoSQL and SQL Database Systems Based on Vulnerability to Injection and Adequacy of Countermeasures," in MidWest Instruction and Computing Symposium, 2019.

S. Yi, R. Gomes, "Evaluating the Impact of Time Delays and Start Sequence for Effective Congestion Control Using TCP Reno, Westwood, and Vegas," in MidWest Instruction and Computing Symposium, 2019.

G. Griswold, M. Carrato, R. Gomes, "Quantitative Analysis to Verify Fairness of TCP CUBIC in NS-2," in MidWest Instruction and Computing Symposium, 2019.

R. Gomes, "Incorporating Sliding Window-Based Aggregation for Evaluating Topographic Variables in Geographic Information Systems," Ph.D. dissertation, North Dakota State University, 2019.

R. Gomes, A. Denton, D. Franzen. "Quantifying efficiency of sliding-window based aggregation technique by using predictive modeling on landform attributes derived from dem and NDVI," in ISPRS International Journal of Geo-Information, vol. 8, no. 4, pp. 196, 2019.

R. Gomes, M. Ahsan, A. Denton, "Random forest classifier in SDN framework for user-based indoor localization," in 2018 IEEE International Conference on Electro/Information Technology (EIT), 2018, pp. 0537–0542.

M. Ahsan, R. Gomes, A. Denton, "Smote implementation on phishing data to enhance cybersecurity," in 2018 IEEE International Conference on electro/information technology (EIT), 2018, pp. 0531–0536.

A. Denton, R. Gomes, D. Franzen, "Scaling up window-based slope computations for geographic information system," in 2018 IEEE International Conference on Electro/Information Technology (EIT), 2018, pp. 0554–0559.

R. Gomes, M. Ahsan, A. Denton, "Fusion of SMOTE and Outlier Detection Techniques for Land-Cover Classification Using Support Vector Machines," in MidWest Instruction and Computing Symposium, 2018.

Gomes, R., et al, "An interconnected network of UAS as a system-of-systems," in 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC), 2017, pp. 1–7.

K. Dayananda, R. Gomes, J. Straub, "An interconnected architecture for an emergency medical response unmanned aerial system," in 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC), 2017, pp. 1–6.

R. Gomes, J. Straub, "Genetic algorithm for flood detection and evacuation route planning," in Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, 2017, pp. 384.

G. Miryala, R. Gomes, K. Dayananda. "Comparative Analysis Of Movie Recommendation System Using Collaborative Filtering In Spark Engine," in Journal of Global Research in Computer Science (UGC Approved Journal), vol. 8, no. 10, pp. 10–14, 2017.

Nelson, R., et al, "Additive Manufacturing (3D Printing) Material and Cost Reduction Algorithm Proof," in AIAA SPACE and Astronautics Forum and Exposition, 2017, pp. 5225.