Wed 01.20.16
Wed 01.20.16
Wed 01.20.16
Wed 01.20.16
algorithmic game theory, approximation algorithms, complexity theory, convex optimization, cryptography, data privacy, distributed computing, learning algorithms, pseudo-randomness
algorithmic game theory, approximation algorithms, complexity theory, convex optimization, cryptography, data privacy, distributed computing, learning algorithms, pseudo-randomness
algorithmic game theory, approximation algorithms, complexity theory, convex optimization, cryptography, data privacy, distributed computing, learning algorithms, pseudo-randomness
algorithmic game theory, approximation algorithms, complexity theory, convex optimization, cryptography, data privacy, distributed computing, learning algorithms, pseudo-randomness
Algorithms and theory research seeks to answer one of the most basic questions in computer science: How can computers solve real-world problems? At the Khoury College of Computer Sciences, we answer that question with rigorous, state-of-the-art research. Working across disciplines, we tackle fundamental algorithm problems with solutions that improve internet security, data privacy, and network efficiency.
Algorithms and theory research seeks to answer one of the most basic questions in computer science: How can computers solve real-world problems? At the Khoury College of Computer Sciences, we answer that question with rigorous, state-of-the-art research. Working across disciplines, we tackle fundamental algorithm problems with solutions that improve internet security, data privacy, and network efficiency.
Algorithms and theory research seeks to answer one of the most basic questions in computer science: How can computers solve real-world problems? At the Khoury College of Computer Sciences, we answer that question with rigorous, state-of-the-art research. Working across disciplines, we tackle fundamental algorithm problems with solutions that improve internet security, data privacy, and network efficiency.
Algorithms and theory research seeks to answer one of the most basic questions in computer science: How can computers solve real-world problems? At the Khoury College of Computer Sciences, we answer that question with rigorous, state-of-the-art research. Working across disciplines, we tackle fundamental algorithm problems with solutions that improve internet security, data privacy, and network efficiency.
At Khoury College, our Algorithms and Theory Group explores a variety of topics, such as cryptography, privacy network optimization, and pseudorandomness. We work in both the core foundations of computing and in computing applications—creating a broad research environment. As a doctoral or graduate student, you’ll collaborate closely with faculty to conduct hands-on research on the most foundational problems in computer science.
At Khoury College, our Algorithms and Theory Group explores a variety of topics, such as cryptography, privacy network optimization, and pseudorandomness. We work in both the core foundations of computing and in computing applications—creating a broad research environment. As a doctoral or graduate student, you’ll collaborate closely with faculty to conduct hands-on research on the most foundational problems in computer science.
At Khoury College, our Algorithms and Theory Group explores a variety of topics, such as cryptography, privacy network optimization, and pseudorandomness. We work in both the core foundations of computing and in computing applications—creating a broad research environment. As a doctoral or graduate student, you’ll collaborate closely with faculty to conduct hands-on research on the most foundational problems in computer science.
At Khoury College, our Algorithms and Theory Group explores a variety of topics, such as cryptography, privacy network optimization, and pseudorandomness. We work in both the core foundations of computing and in computing applications—creating a broad research environment. As a doctoral or graduate student, you’ll collaborate closely with faculty to conduct hands-on research on the most foundational problems in computer science.
