Dr. Houssain Kettani
Dakota State University, Madison, South Dakota, USA
Dr. Houssain Kettani received the Bachelor’s degree in Electrical and Electronic Engineering from Eastern Mediterranean University, Cyprus in 1998, and Master’s and Doctorate degrees both in Electrical Engineering from the University of Wisconsin at Madison in 2000 and 2002, respectively. Dr. Kettani served as faculty member at the University of South Alabama (2002-2003), Jackson State University (2003-2007), Polytechnic University of Puerto Rico (2007-2012), Fort Hays State University (2012-2016), Florida Polytechnic University (2016-2018) and Dakota State University since 2018. Dr. Kettani has served as Staff Research Assistant at Los Alamos National Laboratory in the summer of 2000, Visiting Research Professor at Oak Ridge National Laboratory in summers of 2005 to 2011, Visiting Research Professor at the Arctic Region Supercomputing Center at the University of Alaska in summer of 2008 and Visiting Professor at the Joint Institute for Computational Sciences at the University of Tennessee at Knoxville in summer of 2010. Dr. Kettani’s research interests include algorithms, cybersecurity, machine learning and population studies. He presented his research in over sixty refereed conference and journal publications and his work received over 500 citations by researchers all over the world. He chaired over a hundred international conferences throughout the world and successfully secured external funding in millions of dollars for research and education from US federal agencies such as NSF, DOE, DOD, and NRC.

TalkAdvances in High-Performance Computing and Impact on Cybersecurity 
In the past thirty years, advances in high-performance computing have increased the performance by million times and decreased the volume of the machine by a similar order. Accordingly, the fastest computer in the world increased its performance from one Gigaflop/s in the mid-1980s to a projected one Exaflop/s by 2020. In addition, current hand-held devices such as smartphones have performance that rivals those machines of the 1980s. Due to hardware limitations, parallel computing became an integral part of our lives that it is hard to imagine a device that is not using multiprocessor power, including smartphones. What started as a hardware solution to physical limitation, prompted software engineers to adopt to parallelism, which also motivates the theoretical solution to algorithms design and analysis to provide a solution that is parallel oriented rather than a serial oriented one. The increased computing power also means an increase in the efficiency of brute force attack algorithms on encryption standards, which will make the widely adopted Advanced Encryption Standard obsolete by the end of this century.