32
EVENT FORMAT
Lecture
2020
Januar y
12-2 3
engineered collagens specific for concrete applications such as bone repair, cartilage repair or skin remodeling by utilizing the right functional
domains. In this way, this model could be very useful for personalized medicine objectives.
The Next Transformation in Computing: From the Cloud to the Wide-Area Edge by Faisal Nawab
Data-intensive computing has been the driving force behind the sustained growth and impact of Internet Services, Big Data analytics, and
data science applications. The computing paradigms that support data-intensive applications have been radically transformed many times in
the few past decades. In this talk, we will take a closer look at these past transformations to have a better understanding of the patterns that
drive them. With this understanding, we can project how computing evolves and predict the key technologies that are going to shape the new
transformation in computing. Specifically, we observe a pattern in computing where technologies bounce between phases of distribution and
centralization. Most recently, computing has been in a phase of centralizing resources in large-scale data centers in what is known as cloud
computing. The next transformation is going to be an evolution of cloud computing to be more distributed beyond traditional data centers. In
the talk, we will describe the characteristics of this next transformation and how recent advances in edge-cloud and blockchain systems are
precursors for the new computing paradigm.
Academia vs Industry: A Career Perspective by Hessa Al-Quwaiee
In this talk, Hessa will talk about her career experience after KAUST, reflecting on the lessons learned from looking for a job and changing jobs.
Also, she will share her insights into taking different roles in academia and industry.
Navigating the complexity of diseases genetics for improved prediction of drugs success by Arwa Raies
In this talk, I will present my research at the European Bioinformatics Institute (EMBL-EBI). I will briefly go over the challenges facing drug devel-
opment and how we can leverage human genetics data for systematic drug target identification and prioritization. I will present an application of
Artificial Intelligence to discover new therapeutic targets from large biological networks that consist of millions of links between drugs, targets,
diseases, and biological concepts extracted from biomedical literature.
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SPEAKER Dimitrios Kleftogiannis, Faisal Nawab, Hessa Al-Quwaiee,
Eduardo Gorron and Arwa Raies
CREDITS 3
Dimitrios Kleftogiannis - postdoctoral fellow at Genome Institute of Singapore-,
Faisal Nawab - assist. prof. at UC Santa Cruz-, Hessa Al-Quwaiee - Innovation
manager-, Eduardo Gorron - Ph.D. student at The University of Queensland - and
Arwa Raies - postdoctoral fellow at European Bioinformatics Institute-.