MLCert Kernel Perceptron, Robin Kelby, Alexander Bagnall and Gordon Stewart, Ohio University

TIME: Saturday 9:15 - 9:25 AM


This student short talk will focus on the implementation and verification of the kernel perceptron, a machine-learning algorithm used in two-class classification. In this research, we use our implementation to explore generalization bounds for the kernel perceptron algorithm and the effects of kernelization on these generalization bounds.         



Network Data Analysis to Predict Future Network Traffic, Astha Syal and Alina Lazar, Youngstown State University

TIME: Saturday 9:30 - 9:40 AM


Today, internet has become an important tool for the entire public. It is the source of entertainment, education and convenience. To maintain the efficiency and performance of the large computer networks supporting the internet, it is important to monitor and analyze the network traffic. During evening hours, when most people access internet at the same time for social media browsing, accessing their data or watching Netflix, with the increase in utilization, the network traffic become congested and therefore the speed decreases. This paper aims to identify network variables that cause these disturbances, thus impacting the overall speed of the network. Machine learning models can be built using data collected in the network's logs and can be used in real-time to predict the traffic in the next time frame, so network administrators could tune the network variables that are causing these disturbances. In the end, the users will fully benefit of the internet at any day and any point of time without having to slow down their work or have data loss.                                                                                                                           


Impactful Interviewing for Women in IT, Olga Nagdaseva, Giesecke & Devrient (G+D) Mobile Security

TIME: Saturday 10:15 - 10:25 AM


Your dream job is right around the corner, and so is that stressful job interview.  Dream job search is even more complicated if you are a woman navigating the interview process in Information Technology (IT). After conducting and attending hundreds of interviews (as hiring manager, recruiter, and job candidate), presenter Olga Nagdaseva learned the secrets of impactful interviews, making a lasting impression, and landing that that dream job in IT.  Olga will diverge from the typical “technical interview” secrets, and instead focus on real life interview examples, and the importance of developing in strong interpersonal to complement technical skills. 



Electronic Form Processing Increasing Productivity & Efficiency Across Campus, Tasha Wells, Youngstown State University

TIME: Saturday 10:30 - 10:40 AM


The purpose of this study was to evaluate the varying needs of form processing at Youngstown State University and propose a versatile and scalable electronic form processing solution that is easy to use, completely electronic, can automate workflows and can be implemented within the constraints that exist at Youngstown State University. Three solutions currently being utilized by a subset of people were considered. After review, Adobe Sign (specifically Mega Sign) was proposed as a potential campus-wide solution but more work needs done to address more complex workflows and campus-wide acceptance and implementation.