Security, Privacy and Safety Risk Assessment for Virtual Reality Learning Environment Applications. - Aniket Gulhane; Akhil Vyas; Reshmi Mitra; Roland Oruche; Gabriela Hoefer; Samaikya Valluripally; Prasad Calyam; Khaza Anuarul Hoque (CCNC, 2019)

Measurement of Utility in User Access of COVID-19 Literature via AI-powered Chatbot. - Roland Oruche; Eric D. Milman; Xiyao Cheng; Megha Joish; Chaitra T. Kulkarni; Agrim Sharma; Kerk F. Kee; Hariharan Regunath; Prasad Calyam (AIPR, 2021)

A Networked Social Virtual Reality Learning Environment Platform for Special Education. - Roland Oruche; Vaibhav Akashe; Samaikya Valluripally; Aniket Gulhane; Prasad Calyam; Janine Stichter; Zhihai He (LCN, 2021)

Evidence-Based Recommender System for a COVID-19 Publication Analytics Service. - Roland Oruche; Vidya Gundlapalli; Aditya P. Biswal; Prasad Calyam; Mauro Lemus Alarcon; Yuanxun Zhang; Naga Ramya Bhamidipati; Abhiram Malladi; Hariharan Regunath (IEEE Access, 2021)

Transfer learning to improve streamflow forecasts in data sparse regions. - Roland Oruche; Lisa Egede; Tracy Baker; Fearghal O'Donncha (CoRR, 2021)

vSocial: a cloud-based system for social virtual reality learning environment applications in special education. - Sai Shreya Nuguri; Prasad Calyam; Roland Oruche; Aniket Gulhane; Samaikya Valluripally; Janine Stichter; Zhihai He (Multim. Tools Appl., 2021)

Science gateway adoption using plug-in middleware for evidence-based healthcare data management. - Roland Oruche; Eric D. Milman; Mauro Lemus Alarcon; Xiyao Cheng; Ashish Pandey; Songjie Wang; Prasad Calyam; Kerk F. Kee (Concurr. Comput. Pract. Exp., 2023)

Attention-based Domain Adaptation Forecasting of Streamflow in Data Sparse Regions. - Roland Oruche; Fearghal O'Donncha (CoRR, 2023)

Detection of Security and Privacy Attacks Disrupting User Immersive Experience in Virtual Reality Learning Environments. - Samaikya Valluripally; Benjamin Frailey; Brady Kruse; Boonakij Palipatana; Roland Oruche; Aniket Gulhane; Khaza Anuarul Hoque; Prasad Calyam (IEEE Trans. Serv. Comput., 2023)

Deep Contrastive Active Learning for Out-of-domain Filtering in Dialog Systems. - Roland Oruche; Marcos Zampieri; Prasad Calyam (DSAA, 2024)

Holistic Multi-layered System Design for Human-Centered Dialog Systems. - Roland Oruche; Rithika Akula; Sai Keerthana Goruganthu; Prasad Calyam (ICHMS, 2024)

Adaptive Open-Set Active Learning with Distance-Based Out-of-Distribution Detection for Robust Task-Oriented Dialog System. - Sai Keerthana Goruganthu; Roland Oruche; Prasad Calyam (SIGDIAL, 2024)

Claim Verification in the Age of Large Language Models: A Survey. - Alphaeus Dmonte; Roland Oruche; Marcos Zampieri; Prasad Calyam; Isabelle Augenstein (CoRR, 2024)

GMU-MU at the Financial Misinformation Detection Challenge Task: Exploring LLMs for Financial Claim Verification. - Alphaeus Dmonte; Roland Oruche; Marcos Zampieri; Eunmi Ko; Prasad Calyam (COLING Workshops, 2025)

Chatbot Dialog Design for Improved Human Performance in Domain Knowledge Discovery. - Roland Oruche; Xiyao Cheng; Zian Zeng; Audrey Vazzana; MD Ashraful Goni; Bruce Wang Shibo; Sai Keerthana Goruganthu; Kerk F. Kee; Prasad Calyam (IEEE Trans. Hum. Mach. Syst., 2025)

A Survey on the Recent Advancements in Human-Centered Dialog Systems. - Roland Oruche; Sai Keerthana Goruganthu; Rithika Akula; Xiyao Cheng; MD Ashraful Goni; Bruce Wang Shibo; Kerk F. Kee; Marcos Zampieri; Prasad Calyam (ACM Comput. Surv., 2025)