Ghada Zamzmi

Ghada Zamzmi is a research fellow in CEB/CSB in the National Library of Medicine at the National Institute of Health. She received the M.S. degree in Computer Science from the Department of Computer Science and Engineering at the University of South Florida in 2014 and the doctoral degree from the same department in 2018. Her research interests include machine learning, computer vision, bio-medical imaging, medical image analysis, wearable sensors, affective computing, and human computer interaction. She has authored several national and international conference publications and peer-reviewed journal articles in her area of expertise.

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Sameer Antani

Sameer Antani is a versatile senior researcher with expertise in machine learning and artificial intelligence (ML/AI), biomedical image informatics, image processing and computer vision, and information retrieval. His research studies the use of Ml/AI as a part of his interest in advancing computational sciences and engineering in biomedical research, education, and clinical care. In addition to advancing AI techniques for decision making and analysis of large biomedical data, his research extends to applying lessons learned on important health problems through trans-NIH collaborations, e.g., NCI (cervical cancer), NIAID (HIV/TB in adults and children, and drug resistant variants), among others. Sameer is a senior member of the International Society of Photonics and Optics (SPIE), the Institute of Electrical and Electronics Engineers (IEEE). He serves as the vice chair for computational medicine on the IEEE Computer Society's Technical Committee on Computational Life Sciences (TCCLS) and the IEEE Life Sciences Technical Community (LSTC).

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