News

Friday, April 1st at 1-2:00pm, Summit Room 3346 TMCB

Advisor: Dan Ventura

"Their short animated film, “Stowaway” was nominated for a student Emmy for Best Animation, and the winner will be announced next month at the College Television Awards." from https://www.ldsliving.com/this-short-film-directed-written-and-produced-by-latter-day-saints-was-just-nominated-for-a-college-emmy/s/10461

Wednesday, March 16th at 12-2:00pm, on Zoom

Meeting ID: 974 5563 5628

Meeting Passcode: 128976

Advisor: Yui-Kai Ng

Wednesday, March 2nd at 3-4:30pm, Summit Room 3346 TMCB

Advisor: Dan Ventura

Wednesday, February 9th at 1pm, Summit Room 3346 TMCB

Advisor: Chris Archibald

Wednesday, February 2nd at 2pm, Summit Room 3346 TMCB

Advisor: David Wingate

Thursday, January 27th at 3pm, Summit Room 3346 TMCB

Advisor: Kevin Seppi

Friday December 17 at 11:00 a.m., 2222 TMCB

Advisor: Sean Warnick

Before joining the BYU CS department, Steve worked for 10 years at the Church of Jesus Christ of Latter-day Saints, where he was the Manager of Machine Translation (MT) and Translation Systems. Prior to working at the Church, he presided over the Brazil São Paulo South Mission with his wife Marianna. Before the mission, he worked for 17 years at Microsoft Research as a Principal Researcher and manager of the MT Group and for 11 years at IBM, including at the TJ Watson Research Center, focusing on natural language processing (NLP).

Wednesday, November 17th at 3pm, Summit Room 3346 TMCB

Advisor: Jacob Crandall

If counselors could predict which kids are most likely to commit suicide, they could save lives. Researchers from Brigham Young University, Johns Hopkins and Harvard have come up with an algorithm that predicts suicidal thoughts and behavior among adolescents. Their findings could lead to more effective measures to prevent suicide. (From https://ksltv.com/476011/byu-researchers-create-algorithm-to-predict-suicidal-thoughts-in-adolescents/)

Friday, November 19th at 1pm, 3350 TMCB

Advisor: Nancy Fulda

Brett Decker received a BS in Computer Science from Brigham Young University in 2012. He then was hired full-time at Sandia National Laboratories (SNL)---he first started working for SNL as a student intern in 2010. As part of SNL’s Critical Skills Master’s Program, Brett obtained a MS in Computer Science from Brown University in 2015. At SNL, Brett has been a software engineer, architect, and lead on various secure embedded and PC software systems. Brett came to BYU in Fall 2019.

Thursday, October 21st at 3pm, Conference Room

Advisor: Casey Deccio

Thursday, October 21st at 3pm

Advisor: Jacob Crandall

Dr Eric Mercer was the 2021 Amazon Research Awards recipient in AUTOMATED REASONING.

Monday September 13th at 2pm

Advisor: Mark Clement

Friday July 30 at 10am

Advisor: Mark Clement

David is a recent graduate of the University of California Santa Barbara in the Electrical and Computer Engineering Department. His research interests are centered on multiagent systems, game theory, distributed optimization, mechanism design, and security, however, he’s genuinely open to new domains of thinking which may challenge his assumptions or deepen his appreciation of current understanding. Alongside his academic pursuits, he has been able to work in industry for Applied Invention and MIT Lincoln Laboratories, allowing him to apply theory to several industries, including agriculture, national defense, travel, security, and aerospace. He has also been a leading member of Achilles Heel Technologies, a startup company applying systems theory to the security of critical infrastructures.

Thursday, July 8th at 11:00am, 3350 TMCB

Advisor: Kevin Seppi

Wednesday, June 23 at 11:00am

Advisor: Jonathan Sillito

Wednesday, June 9th at 4:00pm

Advisor: Daniel Zappala

Watch Ryan Gabriel's devotional, Healing Racism Through Jesus Christ, and learn more about how we can "work hard to heal the painful legacies of racism that we inherited."

Tuesday, May 25th at 1:00pm

Advisor: David Wingate

Porter is extremely excited to be joining the faculty at BYU. His main area of research is Artificial Intelligence, where he tries to help machines learn a little bit more like humans.  He received a PhD from Penn State studying machine learning and data mining, and BS in Statistics from BYU.

Friday, March 26th at 11am

Advisor: Casey Deccio

Wednesday, March 31st at 3:00pm

Advisor: Parris Egbert

Welcome to the CS Department's second edition of Threads, a student-driven publication of "thread" papers describing the evolution of various ideas in computer science.  The topics for these papers were chosen by the students in CS 611, the only required course for our Ph.D. students, who then researched and wrote the papers making up the publication.  Our hope in sharing them with you is that they will give you a glimpse of the kinds of ideas these advanced students are engaging, expose you to the stories behind the evolution of a number of great ideas in computer science, and inspire rich technical conversations throughout the department.  Enjoy!

AI-driven user profiling based on user data is a key component of providing a personalized experience on Facebook. However, public concern has grown around social media platforms profiling users to infer fine-grained interests and characteristics such as race, religion, or socioeconomic status, which can be used for secondary purposes such as targeted advertising. In fact, there have been recent public outcries over how such micro profiling has been used to sway political views, as well as concern over how people’s emotional and psychological well-being can be negatively affected. This project investigates how to leverage one of the most popular medium for engaging viewers, Youtube videos, to increase digital literacy and help users limit such profiling. This is an interdisciplinary effort drawing from Media and Film studies, Applied Artificial Intelligence, and Human-Computer Interaction.