Dr. Ahmed Abdeen Hamed is a Research Associate Professor of Computer Science at the Department of Biochemistry at the University of Nebraska–Lincoln, where his work spans Responsible AI, biomedical modeling, and computational methods for translational discovery. 

His research centers on developing algorithms, biological modeling, and workflow solutions for drug repurposing and combinatorial therapy, translating technical innovation into clinical impact. He emphasizes safe, explainable generative AI and large language models for decision support and evidence verification. Dr. Hamed leads and mentors graduate students and professionals in developing ethical, transparent AI systems for life‑science challenges, applying rigorous methods such as RAG, Agentic AI, and cross‑LLM validation to ensure robust, reproducible solutions. He designs and teaches data science and AI courses emphasizing responsible GenAI use and reproducibility. His recent work includes a semantic‑verification framework that embeds biomedical ontologies into a shared vector space and uses retrieval‑augmented prompting with cross‑model agreement to eliminate hallucinated terms. He also advances agentic AI and LLMs, mechanistic modeling, and literature‑based evidence verification through multi‑agent systems that translate natural‑language biological questions into model‑grounded workflows, revealing mechanistic disease drivers and therapeutically relevant targets. Across more than a decade in academia, industry, and international research institutes, 

Dr. Hamed has held faculty and research appointments at the University of Denver, SUNY Binghamton, Northeastern University (Miami), Norwich University. He has also led AI‑driven initiatives at the Polish Academy of Sciences and Merck & Co., advancing model‑grounded discovery pipelines.