Computer Science Seminar

  • November 4, 2022
  • 12:30 PM - 2:30 CST
  • Damen Student Center- Sister Jean MPR South
  • Mohammed Abuhamad, mabuhamad@luc.edu
  • Open to the public.
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    Hi everyone,

    Next Friday, November 4, the Computer Science Department will be continuing with our CS Seminar Series featuring various exciting speakers covering topics related to the field (see below for Friday¿s speaker bios and talk abstracts). Please RSVP your attendance to this event by Wednesday, November 2 to enjoy a meal, social, and two talks by Dr. Manar Mohaisen and Dr. Michael E. Papka. Thank you, and we¿ll see you there! -Marina

    *Please note that this talk will be held in the Damen Student Center Sr. Jean MPR- South*


    Schedule:
    12:30 - 01:10 PM - Lunch and Social
    01:10 - 01:50 PM - Talk by Dr. Manar Mohaisen (Northeastern Illinois University)
    01:50 - 02:30 PM - Talk by Dr. Michael E. Papka (Argonne National Laboratory)

    Speakers and Talks:


    Improving the Social Connectivity in Engineering Educational Networks and Implications
    Talk By: Dr. Manar Mohaisen (Northeastern Illinois University)

    Abstract: It is theorized that improving the connectivity in educational networks by strengthening the student-student and instructor-student relationships enhances the spread of knowledge, results in an improved objectively assessed educational outcomes, and improves instructor¿s perception by students. In this study, a structured semester-long educational experiment is conducted to strengthen connectivity and social relationships among students and in three undergraduate courses. Students are divided into mentoring groups, each associated with a homework assignment. The assignment is then solved for the mentor students, whereby non-mentor (mentee) students should discuss the assignment with at least one mentor student before the assignment¿s due date. The students then report their friendship level with each classmate on a scale from 0 (weakest) to 4 (strongest) with each submitted homework. Furthermore, the mentor students report the number of interactions with non-mentor students and the duration of each interaction. The collected data points are analyzed using social network analysis tools, where an impressive improvement in the number and quality of relationships is achieved. Compared to the beginning of the semester where an assortative mixing based on local features was dominant, the number of friendships through network-wide connections between students has increased by a factor of 20. This work coupled with predictive analytics opens many venues for exploring unconventional methods to improve learning outcomes, passing, retention, and graduation rates.


    Speaker Bio: Manar Mohaisen received a master¿s degree in computer science from the University of Nice Sophia Antipolis, France, in 2005, and a Ph.D. degree in Information and Communication Systems from Inha University, South Korea, in 2010. From 2001 to 2004, he worked as a Cell Planning Engineer at Palestinian Telecommunications Company. From 2010 to 2019, he was a full-time Lecturer and an Assistant Professor with the Department of EEC Engineering, Korea Tech, South Korea. He is currently an Associate Professor in the Department of Computer Science, Northeastern Illinois University. He teaches cryptography, cybersecurity, and digital forensic courses. His research interests include systems and infrastructure security, wireless communications, and business and marketing analytics.


    Evolving the HPC Facility
    Talk by Dr. Michael E. Papka (Argonne National Laboratory)

    Abstract: Large-scale high-performance computing systems and the facilities that host them have become a bedrock of science infrastructure, supporting the traditional modeling and simulation that has accelerated many domains and gained new roles in supporting science. These facilities today support experimental science, expanding into supporting the production of large edge deployments and rapidly becoming the foundation of new science enabled by artificial intelligence and machine learning. Supporting these new use modalities requires an evolution in operations and services that a facility needs to provide. Coupling this change with the change in the mindset of the facility employees due to the pandemic of the past two-plus years has altered forever what it means to be a high-performance computing facility - how you approach configurations, how the center is structured and staffed, and the services provided. This talk will discuss the physical and organizational evolution of the Argonne Leadership Computing Facility over the past five years and look toward the next.

    Speaker Bio: Michael E. Papka is a Senior Scientist, Deputy Associate Laboratory Director for Computing, Environment, and Life Sciences at Argonne National Laboratory and Director of the Argonne Leadership Computing Facility, a U.S. Department of Energy Office of Science User Facility. He has high-performance computing, scientific visualization, and large-scale data analysis expertise. A central aspect of his work is finding ways to scale or extend the science that can be done with computation. Mike is also a Professor of Computer Science and a member of the Electronic Visualization Laboratory at the University of Illinois Chicago (UIC). He received a B.S. in Physics from Northern Illinois University, an M.S. in Electrical Engineering and Computer Science from the UIC, and an M.S. and a Ph.D. in Computer Science from the University of Chicago.