Postdoctoral Research Fellow
West Virginia University · Morgantown, WV

Clinical AI evaluation and safety in healthcare. My work systematically benchmarks large language models and multimodal foundation models across dermatology, psychiatry, ophthalmology, and computational pathology, with emphasis on failure modes that carry direct patient safety implications.

Active research threads:

• Chatbot sycophancy — multi-agent simulation frameworks evaluating people-pleasing behavior in patient-facing AI systems
• Prompt framing bias — quantifying how prompt framing (concerned / neutral / unconcerned) distorts LLM diagnostic accuracy in dermoscopy
• Text-dominant reasoning in multimodal models — documenting the failure of large multimodal models to integrate image evidence when text context is available
• Foundation model benchmarking — zero-shot, few-shot, fine-tuning, and linear probing comparisons across general-purpose and domain-specific models for melanoma classification and diabetic retinopathy grading

• Nouyed et al. "Sensing but Not Alerting: The Cost of Sycophancy in ChatGPT Psychodermatology Consultations." JAAD International, under review.
• Nouyed et al. "Text-Dominant Decision-Making by Large Multimodal Models in Dermatology Clinical Challenges." JAAD, under review.
• Nouyed et al. "The cost of AI sycophancy in dermoscopic diagnosis." JAAD, under review.
• Nouyed et al. "Comparative Analysis of General-Purpose vs. Domain-Specific Multimodal Models for Diabetic Retinopathy Classification." Diagnostics, 2026. doi:10.3390/diagnostics16101504
• Zheng, Chandran, Elswick, Nouyed et al. "Evaluation of AI-generated vignettes depicting patient chatbot use in psychiatric contexts." npj Digital Medicine, 2026. doi:10.1038/s41746-026-02605-6
• Akhter, Nouyed et al. "Evolving performance of GPT models in dermoscopic diagnosis." JAAD, 2026. doi:10.1016/j.jaad.2025.09.119

• Nouyed et al. "Patch-Based Tiny Object Classification for High Resolution Aerial Images." IEEE IGARSS, 2025. doi:10.1109/igarss55030.2025.11243929
• Nouyed et al. "A Framework for Evaluating Model Trustworthiness in Classification of Very High Resolution Histopathology Images." IEEE BIBM, 2024. doi:10.1109/bibm62325.2024.10822778
• Nouyed et al. "Efficient Classification of Histopathology Images Using Highly Imbalanced Data." Pattern Recognition, 2024. doi:10.1007/978-3-031-78166-7_11

• Dept. of Microbiology, Immunology & Cell Biology, WVU School of Medicine (PI: Gangqing Hu, PhD)
• Lane Dept. of Computer Science & Electrical Engineering, WVU (Advisor: Donald A. Adjeroh, PhD)

For a full publication list, see Google Scholar.