Prof. Hava Siegelmann is an Adjunct Professor in the Machine Learning Department and Senior Research Advisor at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).

Prof. Siegelmann is an internationally known professor of computer science, and a recognized expert in neural networks. She is particularly known for introducing a new type of artificial intelligence (AI) - Lifelong Learning AI - where learning can be done during execution, and the system is not fully dependent on pre-training and batch learning. Lifelong Learning AI is founded on Siegelmann’s ground-breaking work in computing beyond the Turing limit and introduction of the super-Turing computational hierarchy.

Prof. Siegelmann is also known for the development of the Support Vector Clustering (SVC), among the most utile, and widely used datamining algorithms. Her results in neuroscience include identification of the human connectome’s mechanism for abstraction and generalization, which is now being adapted into neural networks AI, and the study of memory reconsolidation, the first clear lifelong learning mechanism to be found to regularly update memories. Her work in intelligent machine-human collaboration and advanced neural networks led to multiple high-tech applications.

Prof. Siegelmann is a leader in increasing awareness of ethical AI and in supporting diversity in AI and STEM fields all over the world. Prior to joining MBZUAI, she was an assistant professor at the Technion and has been a visiting professor at MIT, Harvard University, the Weizmann Institute, ETH, the Salk Institute, Mathematical Science Research Institute Berkeley, and the Newton Institute Cambridge University. She currently holds the title of University of Massachusetts Provost Professor and serves as a core member of the Neuroscience and Behaviour Program; she is a member of the university’s steering committee for the Initiative of Neuroscience (IONS) and director of the Biologically Inspired Neural and Dynamical Systems (BINDS) Laboratory.