Congratulations to Isaac Polinsky, Timothy M. Noll, and Timothy R. Julian, who were honored at the 2015 Student Awards Ceremony! Isaac Polinsky received the Computer Science Outstanding Undergraduate Student Award. Timothy M. Noll received the Computer Science Outstanding Graduate Student Award. Timothy R. Julian received the Mathematics Outstanding Student Award.
Wednesday, April 29, 2015
Sunday, April 19, 2015
Bot!Battle! Tournament: Friday, May 1st
Seniors Austin Barket, Steven Erb, and Randall Hudson have created a Bot!Battle! system for the CMPSC 488: Computer Science Project course. The system enables you to write a program to play a game similar to the one at:
http://www.mindjolt.com/save-the-island.html
We will be having a tournament on Friday, May 1st, at 2:30 in the Sun lab, with the bots that people have written to play the game. Prizes will be available! (Note that you do not need to be present at the tournament to participate).
In the test arena that Barket, Erb, and Hudson created, you can play as a person against your bots, play your bots against a preloaded bot, or play different bots that you write against each other. For the URL of the test arenas or more information, please contact Dr. Blum (jjb24 (at) psu (dot) edu).
http://www.mindjolt.com/save-the-island.html
We will be having a tournament on Friday, May 1st, at 2:30 in the Sun lab, with the bots that people have written to play the game. Prizes will be available! (Note that you do not need to be present at the tournament to participate).
In the test arena that Barket, Erb, and Hudson created, you can play as a person against your bots, play your bots against a preloaded bot, or play different bots that you write against each other. For the URL of the test arenas or more information, please contact Dr. Blum (jjb24 (at) psu (dot) edu).
Wednesday, April 15, 2015
Long and Blum Receive Best Paper Award at CNS 2015
Jason Long, a former PSH graduate student now with Google, and Dr. Jeremy Blum received the best paper award for the Communications and Networking Simulation (CNS) Symposium at SpringSim '15 for their paper "SALIENT: Stochastic, Adaptive Latency Improvement for Event Notification Trees."
The abstract for the paper follows:
A challenge in massively multiplayer online games is the need for game event information to be quickly disseminated to all participants. Because of the cost and scalability limitations of centralized servers, peer-to-peer technologies have been adopted in which peers serve both to reconcile conflicting actions and to relay the events to other peers. This manuscript introduces Stochastic, Adaptive Latency Improvement for Event Notification Trees (SALIENT), which provides a method for constructing and maintaining a peer-to-peer event notification tree. SALIENT is a distributed algorithm that uses a number of independent mechanisms that work over time to incrementally make improvements to the event notification tree. In random networks of various sizes, SALIENT was found to greatly reduce experienced latency, typically as much as 40-60% reduction in event delays. In addition, SALIENT has bandwidth management strategies that help avoid situations of bandwidth overload, allowing many more participants to participate despite limited participant bandwidth.
The abstract for the paper follows:
A challenge in massively multiplayer online games is the need for game event information to be quickly disseminated to all participants. Because of the cost and scalability limitations of centralized servers, peer-to-peer technologies have been adopted in which peers serve both to reconcile conflicting actions and to relay the events to other peers. This manuscript introduces Stochastic, Adaptive Latency Improvement for Event Notification Trees (SALIENT), which provides a method for constructing and maintaining a peer-to-peer event notification tree. SALIENT is a distributed algorithm that uses a number of independent mechanisms that work over time to incrementally make improvements to the event notification tree. In random networks of various sizes, SALIENT was found to greatly reduce experienced latency, typically as much as 40-60% reduction in event delays. In addition, SALIENT has bandwidth management strategies that help avoid situations of bandwidth overload, allowing many more participants to participate despite limited participant bandwidth.
Thursday, April 9, 2015
Talk: Physically Based Modeling
You are invited to our next "Pizza with a Professor" talk!
Here are the details:
Topic: "Physically Based Modeling"
Speaker: Dr. Sukmoon Chang
Day & Time: Tuesday (4/14/15) from 11:15am - 12:45pm
Location: Olmsted W212
Here are the details:
Topic: "Physically Based Modeling"
Speaker: Dr. Sukmoon Chang
Day & Time: Tuesday (4/14/15) from 11:15am - 12:45pm
Location: Olmsted W212
Saturday, April 4, 2015
Formal Methods, Social Networking, and Code Generation
You are invited to our next "Pizza with a Professor" talk!
Here are the details:
Topic: "Formal Methods, Social Networking, and Code Generation"
Speaker: Dr. Tim Wahls, Dickinson College
Day & Time: Tuesday (4/7/15) from 11:15am - 12:45pm
Location: Olmsted W212
Wednesday, April 1, 2015
Talk: Big Data and Human Creativity
You are invited to the following talk, which is being held as part of the data mining course. All students are welcome to attend:
Title: Big Data and Human Creativity
Speaker: Mark Pitts
Date/Time: Thursday, April 2, 6 pm
Location: Olmsted 211C
Speaker Bio:
Mark Pitts is Vice President of Enterprise Informatics, Data & Analytics at Highmark Health, the third-largest integrated health care delivery and financing system in the United States. Pitts has over 25 years of healthcare experience in both payer and provider organizations. In his seven years with UnitedHealthcare, Mark built the UHC Data Science function from the ground up, including the creation of an innovative and award-winning data & analytics platform, and pioneered the application of machine learning and unstructured data analysis to health care challenges. Mark also devoted 17 years to the University of Florida Health System, delivering technology and analytic solutions for both the UF Physicians Faculty Group Practice and Shands HealthCare, the hospital system of the University of Florida.
He is a sought-after public speaker on the subject of health care analytics, regularly appearing at events in North America and around the world. Many attendees comment on his ability to make technical topics accessible to everyone – with a sense of humor along the way. He has been interviewed, quoted, and featured in a variety of broadcast, print, and online publications, including Public Radio’s All Things Considered and the InformationWeek Advanced Analytics issue.
Mark studied computer engineering, graduated with honors from the University of Florida with Bachelor’s and Master’s Degrees in Accounting, and earned a Master of Science in Statistics with a dual emphasis in Applied Statistics and Biostatistics from Texas A&M University.
Title: Big Data and Human Creativity
Speaker: Mark Pitts
Date/Time: Thursday, April 2, 6 pm
Location: Olmsted 211C
Speaker Bio:
Mark Pitts is Vice President of Enterprise Informatics, Data & Analytics at Highmark Health, the third-largest integrated health care delivery and financing system in the United States. Pitts has over 25 years of healthcare experience in both payer and provider organizations. In his seven years with UnitedHealthcare, Mark built the UHC Data Science function from the ground up, including the creation of an innovative and award-winning data & analytics platform, and pioneered the application of machine learning and unstructured data analysis to health care challenges. Mark also devoted 17 years to the University of Florida Health System, delivering technology and analytic solutions for both the UF Physicians Faculty Group Practice and Shands HealthCare, the hospital system of the University of Florida.
He is a sought-after public speaker on the subject of health care analytics, regularly appearing at events in North America and around the world. Many attendees comment on his ability to make technical topics accessible to everyone – with a sense of humor along the way. He has been interviewed, quoted, and featured in a variety of broadcast, print, and online publications, including Public Radio’s All Things Considered and the InformationWeek Advanced Analytics issue.
Mark studied computer engineering, graduated with honors from the University of Florida with Bachelor’s and Master’s Degrees in Accounting, and earned a Master of Science in Statistics with a dual emphasis in Applied Statistics and Biostatistics from Texas A&M University.
Subscribe to:
Posts (Atom)