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Abm Adnan Azmee presented his work on Human-AI collaboration at IEEE/ACM CHASE 2025, a leading venue in connected health research. CHASE brings together interdisciplinary work spanning sensing, communications, and intelligent analytics for health applications and systems. The 2025 conference was hosted in Manhattan, New York City, USA (June 24–26, 2025), featuring a multi-day program of keynotes and technical sessions.

Abdul Muntakim presented at IEEE ICMLA 2025. This work introduces a novel Trust-Aware Human-AI Teaming (HAT) framework for reliable text classification in high-risk and ambiguous scenarios. The approach integrates synthetic cognitive factors—including trust in model advice, cognitive load, perceived difficulty, probabilistic correctness, and historical accuracy—into decision-making using outputs from multiple large language models.

A gated human–AI mechanism dynamically balances automated predictions and human review, activating human oversight only when confidence or trust is low. Evaluated on over 15,000 news articles annotated by four state-of-the-art LLMs, the proposed model achieves 82.8% accuracy and 82.1% F1 score, outperforming standalone and static ensemble baselines while requiring human review for only 39.47% of cases.
Venue: Published in IEEE International Conference on Machine Learning and Applications (ICMLA), 2025.

Abm Adnan Azmee presented his work on multi-label behavioral health identification from police narrative reports at IEEE ICMLA 2024. He also served as a Session Chair at the event. ICMLA serves as a leading international forum for disseminating original machine-learning research, with emphasis on real-world applications and novel systems. The 2024 event took place at Coral Gables, Florida, USA (Dec 18–20, 2024), supporting both research exchange and practitioner engagement.

Francis Nweke presented his research titled “Explainable Multilabel Classification Framework for Behavioral Health Based on Domain Concepts” at the IEEE International Conference on Big Data (BigData 2024), held in Washington, D.C., USA (December 15–18, 2024). The work highlights how domain-driven behavioral health concepts improve interpretability in multilabel classification and how annotated 911 narratives can advance explainable AI for public health.

Abm Adnan Azmee presented research on his developed domain-enhanced attention network for behavioral health identification from 911 narratives at IEEE BigData 2023. IEEE BigData is an international conference that convenes researchers and practitioners across big-data methods, systems, and applications. The 2023 conference was held in Sorrento, Italy (Dec 15–18, 2023), including special sessions focused on data mining and machine learning on big data.

Kennesaw State University’s College of Computing and Software Engineering recognized Abm Adnan Azmee with the Outstanding Ph.D Student Research Award (2024) for research excellence. The honor reflects sustained scholarly contributions and research impact within the PhD in Computer Science program.

Kennesaw State University’s College of Computing and Software Engineering honored Francis Nweke with the Outstanding Ph.D. Student Teaching Award (2025) for excellence in teaching. This award acknowledges exceptional instructional contributions and dedication to student success within the PhD in Computer Science program.