• Statistical Relational Artificial Intelligence with Dr. Sriraam Natarajan

    Statistical Relational Artificial Intelligence with Dr. Sriraam Natarajan Via TWiML & AI  (Audio Interview) – In this episode, I speak with Sriraam Natarajan, Associate Professor in the Department of Computer Science at UT Dallas. While at NIPS a few months back, Sriraam and I sat down to discuss his work on Statistical Relational Artificial Intelligence.…


  • Digital Forensics to Reveal the Unknown

    Digital Forensics to Reveal the Unknown By: Dr. Ebru Cankaya, UT Dallas In a world of rapidly developing technology, it is getting easier and more prevalent each day to conceal data in digital media. As new techniques become available, the countermeasures to recover hidden or corrupt data are becoming available as well. Digital forensics make possible…


  • WHAT TO DO AFTER “LEARNING HOW TO CODE?”

    WHAT TO DO AFTER “LEARNING HOW TO CODE?” By: Dr. Paul Fishwick, UT Dallas When I first learned about computers, I learned FORTRAN programming. It was the programming language that dominated the scene back in, and before, the early 70s. In today’s world, we have numerous efforts that go by monikers such as “code.” We are…


  • BIG DATA ANALYTICS FOR CYBER SECURITY: DEFEATING CYBER ATTACKERS

    BIG DATA ANALYTICS FOR CYBER SECURITY: DEFEATING CYBER ATTACKERS By: Dr. Murat Kantarcioglu, UT Dallas Like many application domains, more and more data are collected for cyber security. Examples of these collected data include system logs, network packet traces, account login formation, etc. Since the amount of data collected is ever increasing, it has become impossible…


  • CLOUD COMPUTING, FOG COMPUTING, AND BIG DATA: LESSONS FROM THE FASHION INDUSTRY

    CLOUD COMPUTING, FOG COMPUTING, AND BIG DATA: LESSONS FROM THE FASHION INDUSTRY By Dr. Ravi Prakash, UT Dallas Every thirty years or so corduroys become fashionable. Raid your parents’ old suitcases and grandparents’ trunks. You will find that the clothes that were fashionable when they were young are in, once again. One can either attribute this…