Mohammed Yeasin
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Mohammed Yeasin Professor |
Dr. Yeasin is a Professor of Electrical and Computer Engineering, Adjunct faculty of Biomedical Engineering, Bioinformatics Program, and Institute of Intelligent System (IIS) at the University of Memphis. He is the recipient of National Science Foundation (NSF) Career Grant, Senior Member of the IEEE, and Associate Editor of two peer reviewed Journals (BMC Bioinformatics. Collaborating with all stakeholders, I develop innovative solutions in assistive technology, biomedicine, cognitive engineering, and HCI. I specialize in designing systems using interpretable machine learning. For my work in understanding non-verbal communications and their applications, I received the National Science Foundation’s Faculty Early Career Award, given to less than 1% of applicants. I leverage 25+ years of transdisciplinary teaching and research experience to develop innovative and practical technology solutions in assistive technology, biomedicine, cognitive science, machine learning, and human- computer interaction. I mentored 40+ (Ph.D./MS) students to be future leaders in their fields. I collaborated with 50+ researchers across the globe and published 150+ articles. I have received external and internal research grants valued at $ 7.7 M+ throughout my career. For my work in understanding non-verbal communication, I received the National Science Foundation (NSF) Faculty Early Career Award (2009 - 2014). I successfully administered many research projects and built an effective strategy for working with a transdisciplinary research team. I make realistic project plans, communicate clearly, and execute them on time and within budget. I strive to find intuitive ideas and clarity to further innovation. I am passionate about developing innovative and cost-optimized technology solutions.
Specialties: Big Data Analytics • Machine Learning • Bayesian Networks • Clustering • Deep learning Libraries • Generative Adversarial Networks • Product Development • Project Management • Partnership Development • Multimodal Signal Analysis • Multicultural Experience.