B2P2: A Scalable Big Bioacoustic Processing Platform. - Srikanth Thudumu; Saurabh Kumar Garg 001; James Montgomery 001 (HPCC/SmartCity/DSS, 2016)

Elicitation of Candidate Subspaces in High-Dimensional Data. - Srikanth Thudumu; Philip Branch; Jiong Jin; Jugdutt Singh (HPCC/SmartCity/DSS, 2019)

Adaptive Clustering for Outlier Identification in High-Dimensional Data. - Srikanth Thudumu; Philip Branch; Jiong Jin; Jugdutt Jack Singh (ICA3PP (2), 2019)

Estimation of Locally Relevant Subspace in High-dimensional Data. - Srikanth Thudumu; Philip Branch; Jiong Jin; Jugdutt Singh (ACSW, 2020)

A comprehensive survey of anomaly detection techniques for high dimensional big data. - Srikanth Thudumu; Philip Branch; Jiong Jin; Jugdutt Jack Singh (J. Big Data, 2020)

A Framework for Evaluating MRC Approaches with Unanswerable Questions. - Hung Du; Srikanth Thudumu; Sankhya Singh; Scott Barnett; Irini Logothetis; Rajesh Vasa; Kon Mouzakis (e-Science, 2022)

PiMS: A Pre-ML Labelling Tool. - Irini Logothetis; Scott Barnett; Leonard Hoon; Srikanth Thudumu; Joseph Mathew; Carl Luckhoff; Gerard O'Reilly; David Collard; Rajesh Vasa; Kon Mouzakis; Mark Fitzgerald (e-Science, 2022)

Subspace based Anomaly Detection Framework for Point Clouds. - Johnahan Van Zyl; Hung Du; Srikanth Thudumu; Irini Logothetis; Scott Barnett; Rajesh Vasa; Kon Mouzakis (e-Science, 2022)

An Integrated Federated Learning and Meta-Learning Approach for Mining Operations. - Venkat Munagala; Sankhya Singh; Srikanth Thudumu; Irini Logothetis; Sushil Bhandari; Amit Bhandari; Kon Mouzakis; Rajesh Vasa (AI (1), 2023)

Decentralized Federated Learning Strategy with Image Classification using ResNet Architecture. - Hung Du; Srikanth Thudumu; Sankhya Singh; Scott Barnett; Irini Logothetis; Rajesh Vasa; Kon Mouzakis (CCNC, 2023)

UAV Dynamic Object Tracking with Lightweight Deep Vision Reinforcement Learning. - Hy Nguyen; Srikanth Thudumu; Hung Du; Kon Mouzakis; Rajesh Vasa (Algorithms, 2023)

Contextual topic discovery using unsupervised keyphrase extraction and hierarchical semantic graph model. - Hung Du; Srikanth Thudumu; Antonio Giardina; Rajesh Vasa; Kon Mouzakis; Li Jiang; John Chisholm; Sanat Bista (J. Big Data, 2023)

Seven Failure Points When Engineering a Retrieval Augmented Generation System. - Scott Barnett; Stefanus Kurniawan; Srikanth Thudumu; Zach Brannelly; Mohamed Abdelrazek 001 (CAIN, 2024)

LLMs for Test Input Generation for Semantic Applications. - Zafaryab Rasool; Scott Barnett; David Willie; Stefanus Kurniawan; Sherwin Balugo; Srikanth Thudumu; Mohamed Abdelrazek 001 (CAIN, 2024)

LLMs for Test Input Generation for Semantic Caches. - Zafaryab Rasool; Scott Barnett; David Willie; Stefanus Kurniawan; Sherwin Balugo; Srikanth Thudumu; Mohamed Almorsy Abdelrazek (CoRR, 2024)

A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions. - Hung Du; Srikanth Thudumu; Rajesh Vasa; Kon Mouzakis (CoRR, 2024)

Large language models for generating rules, yay or nay? - Shangeetha Sivasothy; Scott Barnett; Rena Logothetis; Mohamed Abdelrazek 001; Zafaryab Rasool; Srikanth Thudumu; Zach Brannelly (CoRR, 2024)

Dual-Branch HNSW Approach with Skip Bridges and LID-Driven Optimization. - Hy Nguyen; Nguyen Hung Nguyen; Nguyen Linh Bao Nguyen; Srikanth Thudumu; Hung Du; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

CSAOT: Cooperative Multi-Agent System for Active Object Tracking. - Hy Nguyen; Bao Pham; Hung Du; Srikanth Thudumu; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

Local Control Networks (LCNs): Optimizing Flexibility in Neural Network Data Pattern Capture. - Hy Nguyen; Duy Khoa Pham; Srikanth Thudumu; Hung Du; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination. - Hung Du; Srikanth Thudumu; Hy Nguyen; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction. - Hy Nguyen; Srikanth Thudumu; Hung Du; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments. - Srikanth Thudumu; Hy Nguyen; Hung Du; Nhat Duong; Zafaryab Rasool; Rena Logothetis; Scott Barnett; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications. - Srikanth Thudumu; Jason Fisher; Hung Du (CoRR, 2025)

OpenAg: Democratizing Agricultural Intelligence. - Srikanth Thudumu; Jason Fisher (CoRR, 2025)