Summary
Mohammad Khalooei is an AI researcher and lecturer with nine years of experience specializing in speech processing, audio intelligence, adversarial machine learning, and robust deep neural networks. He holds a PhD in Artificial Intelligence from Amirkabir University of Technology and balances academia with industry impact as a lecturer at Sharif University, senior AI researcher/engineer at MCI, and lead of AI audio solutions at MCINEXT. His work spans large-scale industrial deployments and research collaborations, including contributions to CoreML-related projects and reviewer roles for top-tier ML/AI conferences. Known for bridging theory and practice, he routinely translates robustness research into production-ready speech and language technologies. Beyond papers and consulting, he has a track record of entrepreneurship and organizing AI competitions, demonstrating a knack for turning research ideas into real-world systems.
9 years of coding experience
Amirkabir University of Technology