Mohammed Korayem
Atlanta Metropolitan Area,United States
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Mohammed Korayem is a distinguished leader and expert in Artificial Intelligence, Machine Learning, and Natural Language Processing. Currently serving as the VP of AI at Inovia Capital, he plays a pivotal role in shaping AI strategy, conducting technical due diligence, and advising portfolio companies on leveraging AI/ML technologies for growth and innovation. Concurrently, he holds an Adjunct Professorship in the Department of Computer Science and Engineering at the University of Notre Dame, where he contributes to AI research and education. His career path demonstrates a strong bridge between cutting-edge academic research and practical industry application, previously holding positions such as Assistant Professor at KAUST (King Abdullah University of Science and Technology) and research roles focusing on dialogue systems, information retrieval, and computational linguistics. Mohammed is passionate about building impactful AI solutions and fostering the next generation of AI talent.
Professional Summary
Mohammed Korayem's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
VP of AI at Inovia Capital
Leads AI-driven investment strategies, conducts technical due diligence for potential investments, and provides expert AI/ML guidance to Inovia's portfolio companies to accelerate their technological advancement and market competitiveness.
Adjunct Professor at University of Notre Dame
Contributes to the academic community by teaching advanced AI/ML courses, mentoring students, and engaging in research, particularly in areas like Natural Language Processing and Machine Learning.
Former Assistant Professor at KAUST
Led a research group focusing on Natural Language Processing and Machine Learning, secured research grants, published numerous papers in top-tier conferences and journals, and mentored graduate students.
Multiple Peer-Reviewed Publications & Patents
Authored and co-authored a significant number of influential research papers in prestigious AI/ML conferences (e.g., ACL, EMNLP, AAAI) and journals, and holds patents related to NLP and AI technologies, showcasing his contributions to the field.
Ph.D. in Computer Science
Earned a Ph.D. in Computer Science from the University of Maryland, College Park, specializing in Natural Language Processing and Machine Learning, laying the foundation for his expertise in AI.
Educational Background
Doctor of Philosophy (PhD), Computer Science
Indiana University Bloomington - Year 2010
Master's degree, Computer Science
Indiana University Bloomington - Year 2010
Master of Science (MSc), Computer Science
Cairo University - Year 2003
Bachelor's degree, Computer Science
Cairo University - Year 1998
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Company Overview
CareerBuilderCareerBuilder is a global talent acquisition leader and job-matching platform that connects employers with job seekers. It offers a suite of solutions including job postings, resume database access, AI-powered recruitment tools, and labor market intelligence to help companies build their workforce and individuals advance their careers. For over 25 years, CareerBuilder has been at the forefront of innovation in the recruitment space, helping millions of people find jobs and employers find the right talent.
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