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Wednesday
Oct 28, 2015
Traits of Successful Entrepreneurs
BGSU Hayes Hall

The BGSU Computer Science Department is proud to announce a colloquium: Traits of Successful Entrepreneurs: RIPP (Risk, Innovation, Passion, People) by Keesha Crosby.

Why do some entrepreneurs succeed while others fail? It takes risk, innovation, passion and people.

Keesha Crosby is the Founder and CEO of Tri-Guard Risk Solutions, a VA Small Woman and Minority owned cyber security firm. She has more than 19 years of experience in security engineering.

Monday
Nov 16, 2015
iOS Security: Is there a bad Apple in the bunch?
BGSU Hayes Hall

The BGSU Department of Computer Science proud to announce a colloquium.

Jamie Bowser, Technical Strategist at Cigital, will talk about iOS security.

This talk will examine if Apple has implemented enough controls to protect its devices from "spoilage".

Wednesday
Apr 20, 2016
BGSU Computer Science Colloquia: Combox & Software Weakness
BGSU Hayes Hall

The BGSU Department of Computer Science colloquium series of graduate student research presentations features:

Combox by Siddharth Ravikumar (advisor: Dr. Robert Green).

Software Weakness Model with Attack Patterns by Shivashish Pati (advisor: Dr. Yan Wu).

Friday
Apr 22, 2016
BGSU Computer Science Colloquia: Domain-specific Language & Amandroid
BGSU Hayes Hall

The BGSU Department of Computer Science colloquium series of graduate student research presentations features:

A Domain Specific Language for Inherited Visitor Attributes by Neha Bhide (advisor: Dr. Robert Dyer).

Web Interfaces for Amandroid by Rohit Sharma (advisor: Dr. Sankardas Roy).

Friday
Dec 2, 2016
Understanding Human Dynamics using Data Science
BGSU Hayes Hall

Department of Computer Science Seminar: Understanding Human Dynamics using Data Science, Kevin S. Xu, Ph.D.

Friday, December 2, 2016, 3:30 p.m., 117 Hayes Hall

Recent advances in sensing technology have enabled us to study the dynamics of human behavior on a much larger scale with finer granularity, from the advent of the World Wide Web and on-line social networks to the mass adoption of smartphones and the introduction of wearable technology. Many people now carry sensors capable of continuously collecting data on their movements, activities, interactions, and even their physical responses to external stimuli. While it is incredible that we can collect and store such rich data, there is a need to develop robust machine learning and signal processing algorithms to perform data analytics on these new modalities of data, which are quite different from traditionally studied data types such as images and text. This talk will introduce several application settings involving human dynamics data and present principled algorithms for analyzing such data. These applications range from predicting patterns of social interactions between people in on-line social networks to identifying patterns of activation of a person’s autonomic nervous system using wearable sensors.

Kevin S. Xu received the B.A.Sc. degree in Electrical Engineering from the University of Waterloo in 2007 and the M.S.E. and Ph.D. degrees in Electrical Engineering: Systems from the University of Michigan in 2009 and 2012, respectively. He was a recipient of the Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Master’s and Doctorate Scholarships. He is currently an assistant professor in the EECS Department at the University of Toledo and has previously held industry research positions at Technicolor and 3M. His main research interests are in machine learning and statistical signal processing with applications to network science and human dynamics.

Thursday
Nov 7, 2019
BGSU Computer Science 50th Anniversary Celebration
through
BGSU Student Union

The BGSU Department of Computer Science is celebrating its 50th anniversary in 2019. There will be several special events including a keynote address for the public and a full-day program for our alumni, current and past faculty and students.

Among the scheduled events are a public keynote address on Thursday, Nov. 7, 2019, featuring Dr. Alex Aiken, the Alcatel-Lucent Professor of Computer Science at Stanford University, and an all-day program on Friday, Nov. 8 for alumni of the computer science program.

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