Congratulations to 2017 ACM programming contest award winners Brandon Wong, Justin Maddox, and Hunter Soliday!
Dr. Chan-Tin, Dr. Crick, Dr. Etemadpour and Dr. George were awarded a National Science Foundation Research Experience for Undergraduates Site award
. The REU program in the CS department at OSU is a ten-week summer program for undergraduate students. Participants in the program will contribute to research projects in big data analytics, including, robotics, computer vision, visualization, Twitter data analytics, anonymity, and machine learning.
For more information, see: http://cs.okstate.edu/reu
The department now offers a multi-disciplinary graduate certificate
in Big Data Analytics which can be completed in conjunction with
a Masters Degree in Computer Science.
Fisher Scholarship recipients for 2015-16
Congratulations to Michael Farcasin, Ashwin Kumar, Rohit Nutalapati and Gautham Pannaganti, recipients of the 2015-2016 Fisher Scholarships!
ACM Programming Contest Results
We had a very successful programming contest on April 14, 2016 with 48 contestants and 133 correct submissions. First place went to James Robinson
, with 7 problems solved out of 10. Second place went to Ziheng Lin
, with 5 problems solved by 7:28. Third place went to Ben Meyers
with 5 problems solved by 7:50. Fourth place went to Thomas Games
with 5 problems solved by 7:57. You can see all the problems for this and previous contests at the site http://cs.okstate.edu/~clined/
-- thanks to everyone who participated as well as Dr. Cline for overseeing the contest!
Congratulations to CS students Marcus Gabilheri and the team of Aaron Weaver and Alexander Melton for their respective first place finishes in the annual OSU Mobile App Competition!
Mr. Connor Davis was selected as the computer science outstanding senior!
Walt Kolb Graduate Studies Scholarship
Congratulations to Michael Farcasin for receiving a Walt Kolb Graduate Studies Scholarship for spring 2016.
Congratulations to Don Stauffer, Layla Alachkar, and Corey Cuba for being awarded undergraduate scholarships from ConocoPhillips and Devon.
The Computer Science Department received an additional $2000 grant from ExxonMobil.
Dr. Crick Awarded NSF National Robotics Grant
Dr. Christopher Crick, in partnership with colleagues in the College of Engineering and the Department of Psychology, has been awarded a $900,000 grant under the auspices of the National Science Foundation's National Robotics Initiative. This project will investigate learning from demonstration and skills transfer between humans and robots, with a primary focus on applications in the construction and farming equipment industry.
Dr. Crick in Partnership Awarded $6 Million NSF Award
Dr. Christopher Crick, in partnership with other colleagues at OSU and other universities, has been awarded a $6 million NSF Award. The award will be an OSU-led collaboration to develop weather research UAVs.
Privacy Issues in Smart Grid Data Sharing
Prediction is a critical aspect of any company. For an energy cooperative, predicting future energy demands, energy generation, and problems in energy transmission or production is important. Predicting the future requires data. The goal of this project is to enable this wide data collection and transmission back to the server so that predictions can be made. The accuracy of the predictions depends largely on the quality and amount of data. Most of the data collection are performed through sensors gathering information such as ambient information, power quality, and harmonics. Sensor data collection: Effective sensor data collection is a challenge because of the different types of sensors, different data formats and different sensor locations. Other challenges are the extensibility and modularity of the sensor hardware because the type of data collected can and will likely change in the future. Replacing the whole sensor infrastructure every few years is not desirable. The solution proposed is to design and deploy a new sensor infrastructure that will integrate all the sensors and aggregate all the data collection.