Dr. Varol joined NU as a faculty member of Robotics in 2011 after completing his doctoral studies at Vanderbilt University. He served as a technical editor for top journals and conferences in Robotics. He published over 80 impactful papers on artificial intelligence, bionics, soft robotics, sensor fusion, and augmented reality.

Prior to joining UAEU, he was a Professor and Chair of the CS Department at the University of Pittsburgh. He also served as the Director of the Computer and Network Systems Division at the National Science Foundation. In 2004, he led the Information Technology Research Initiative (ITR), focused on the design and engineering of resilient and reliable software architectures for large-scale systems. He also served as a Senior Program Director in the NSF/ANIR Division. Dr. Znati’s current research interests are in cloud and data-intensive computing, ubiquitous and pervasive computing, and energy-aware resiliency models for extreme-scale systems. He published over 90 journal papers, 175 referred conference papers, and several books on networked systems and network protocols. He also served on the Science Foundation Ireland Board, and Co-Chaired the Network and Information Research and Development (NITRD) for Large Scale Networking. He was member of the Internet2 Research Advisory Council for Developing Strategies for Research. He also served as the Chair of the Committee of Visitors of the Advanced Networking Program of the Office of Advanced Scientific Computing Research (ASCR) of the United States Department of Energy.

G42 Healthcare, leading efforts in analysis of large scale health data from EHR, genomics, imaging, claims, and other sources. Prior to joining G42, Shadab was a research scientist at Inception Institute of AI, where he worked on data-efficient machine learning. At IIAI, Shadab also co-developed curriculum for MS and PhD courses at MBZ University of AI in UAE, while closely participating in the university’s accreditation process. Shadab has a PhD in Biomedical Engineering from Dartmouth College, and did his postdoctoral fellowship at Harvard Medical School.

Causaly is a London-based technology company that uses AI to transform how researchers in biomedicine and healthcare discover and acquire knowledge and generate insights. Causaly is a rapidly growing startup which raised 23 million USD to date and is backed by Index Ventures. Artur, originally from Kazakhstan, has a background in Computer Science and has received his Bachelor's degree from Dublin Institute of Technology, and his Master's degree from the University of Edinburgh

Prior to that he worked as a Computer Engineering Instructor at American University of the Middle East. He received his Master’s and Bachelor’s Degrees in Robotics from the Nazarbayev University, Kazakhstan.