Dr. Mehdi Bahrami is a Senior Member of both ACM and IEEE. He is a Principal Researcher at Fujitsu Research of America in California. With expertise in Generative AI, Applied Machine Learning, and diverse API integration at scale, his work focuses on advancing cutting-edge AI technologies. He holds a Ph.D. in Electrical Engineering and Computer Science from the University of California, Merced. Dr. Bahrami has over 15 years of software industry experience, complemented by more than five years of academic engagement, all toward contributing to AutoML, Natural Language Processing, and Generative AI.

 

Dr. Bahrami is a recipient of several awards, such as the 2024 IEEE Outstanding Engineer Award for his “pioneering contributions to generative AI and API automation”, the 2024 Fujitsu Research Group Head's Award for “achievements in AI trust technologies”, and the 2016 ACM ICN Best Demo Award. He has also received prestigious fellowships and leadership awards during his doctoral studies, such as the Fletcher Jones Fellowship and the Distinguished Leadership Award. Dr. Bahrami is the author of over 30 publications and the inventor of more than 34 granted U.S. patents. His work has been featured in prominent media outlets, including MIT Technology Review.

 

Dr. Bahrami has contributed to prestigious academic events through roles such as a chair, editor, and reviewer for several international conferences and journals including ACL, AutoML and COLING. He has served as an AI panelist for the National Science Foundation’s Small Business Innovation Research (NSF SBIR) program. Dr. Bahrami has delivered numerous invited talks and tutorials at prestigious international conferences, universities, and industry events. His presentations span diverse topics such as API Integration, Generative AI, and AutoML. Notable engagements include keynote tutorials at ACM/IEEE conferences, lectures at Stanford / Carnegie Mellon Universities, and keynote talks at industry summits like the NLP Summit and MLConf. These talks highlight his role in reducing the gap between cutting-edge research and practical applications, fostering collaboration between academic and industry audiences.

 

More details can be found at: https://cloudlab.ucmerced.edu/~mehdi-bahrami