The College of Computing has built a reputation for providing challenging courses and an overall rewarding academic experience at all levels. In the undergraduate program, the College awards bachelor's degrees in computer science, and in the graduate program, the College offers master's and doctoral degrees in computer science. The College offers an undergraduate certificate in Information Systems jointly with the DuPree College of Management and an undergraduate minor and undergraduate and graduate certificates in Cognitive Science jointly with the Schools of Psychology and Industrial and Systems Engineering.

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  • From Immigrant to Entrepreneur and NBA Owner 

    Ranadivé, Vivek (2018-11-01)
    Vivek Ranadivé describes himself as a boy from Bombay – a boy who made his fortune digitizing Wall Street and providing real-time computing to the world’s largest companies. Now, the chairman of venture fund Bow Capital ...
  • Algorithmic Pirogov-Sinai theory 

    Perkins, Will (2018-11-05)
    We develop efficient algorithms to approximate the partition function and sample from the hard-core and Potts models on lattices at sufficiently low temperatures in the phase coexistence regime. In contrast, the Glauber ...
  • Fairness in Algorithmic Decision Making 

    Kannan, Sampath (2018-10-29)
    In this talk we survey some formulations of fairness requirements for decision making under uncertainty. We then discuss results from 3 recent papers: 1) Treating individuals fairly is not in conflict with long-term ...
  • The Paulsen problem, continuous operator scaling, and smoothed analysis 

    Lau, Lap Chi (2018-10-15)
    The Paulsen problem is a basic open problem in operator theory. We define a continuous version of the operator scaling algorithm to solve this problem. A key step is to show that the continuous operator scaling algorithm ...
  • Improved Decoding of Folded Reed-Solomon and Multiplicity Codes 

    Wootters, Mary (2018-10-01)
    List-decoding is an important primitive in the theory of error correcting codes, and it has long been a goal to obtain explicit constructions of capacity-achieving, efficiently list-decodable codes. Folded Reed-Solomon ...
  • (Nearly) Efficient Algorithms for the Graph Matching Problem in Correlated Random Graphs 

    Schramm, Tselil (2018-09-24)
    The Graph Matching problem is a robust version of the Graph Isomorphism problem: given two not-necessarily-isomorphic graphs, the goal is to find a permutation of the vertices which maximizes the number of common edges. ...
  • On the Complexity of Clustering Problems 

    Louis, Anand (2018-09-10)
    Euclidean k-means clustering, a problem having numerous applications, is NP-hard in the worst case but often solved efficiently in practice using simple heuristics. A quest for understanding the properties of real-world ...
  • Method and software for predicting emergency department disposition in pediatric asthma 

    Kumar, Vikas (Georgia Institute of Technology, 2015-04-21)
    An important application of predictive data mining in clinical medicine is predicting the disposition of patients being seen in the emergency department (ED); such prediction could lead to increased efficiency of our ...
  • A comprehensive querying database system based on the entity relationship model 

    Wilfer, Moritz (Georgia Institute of Technology, 2015-04-23)
    This work proposes a comprehensive querying database system based on an enhanced entity relationship (EER) model. The DBMS is fully operational and performs all queries that are illustrated in the paper. This work is also ...
  • Real-time Communication Using WebRTC 

    Ali, Haytham (Georgia Institute of Technology, 2018)
    This paper introduces a new Real-time Communication technology. Some of the technology’s applications could be in the education field, but are not limited only to education. The technology could be used with any system ...
  • Finding Kernels in Non-Linear Data-Driven CHC Solving 

    Eden, Michael
    Program verification has seen a lot of progress, but its still unable to automatically find proofs for industry programs. This paper builds on data-driven approaches from previous work [11] to provide a more robust automatic ...
  • Scalable, Automatic Malware Analysis 

    Sommers, Allison Kate
    In the realm of this computing age, malware is becoming steadily more prevalent. With the amount of malware samples taken from the wild increasing, malware analysis is becoming increasingly necessary. However, the necessary ...
  • Interactive Analysis of Graph and Time-Series Data: Enabling Technologies and Systems 

    Fang, Dezhi
    Massive amounts of data are being generated every day. While data become more universally accessible, they are also becoming increasingly more complex. With the rise of social networks and mobile sensors, graph and time ...
  • Real-time State Estimation for Aggressive Driving Autonomous Ground Vehicles 

    Pattison, Dominic
    State estimation is an integral part of many robotic systems. It is particularly important in the realm of high performance ground vehicles where systems must be real-time, robust, and accurate. This project aims to tackle ...
  • A blockchain-inspired design for a modern academic system 

    Murali, Alaap
    When reminded of blockchains, the public’s attention tends to turn to finance because of the recent growth of Bitcoin and its impact on the economy; however, these cryptographic data structures also have value in several ...
  • Predicting Protein-Protein Interaction via Convolutional Adaptive Dot Product 

    Deb, Diptodip
    We propose a deep-learning method for predicting protein-protein interaction (PPI) via an adaptive dot product in combination with dilated convolutions. Protein-protein interac- tion is a crucial biological process. Being ...
  • Analysis of Deviant Opioid Addiction Treatment Communities on Reddit 

    Zampieri, Francisco Alejandro
    As the opioid epidemic in the US continues, many addicts turn to clinically unverified, non-mainstream, deviant recovery methods to ameliorate the symptoms of withdrawal. In this study, we analyze discussion on the social ...
  • Deception Detection Tests Along with Brain-Computer Interface 

    Talati, Aatmay S
    Primarily polygraphs (AKA lie detectors) are being used for deception detection tests (DDT) in terms of knowing hidden and crucial information associated with crime or an incidence. Often, other factors, i.e., nervousness, ...
  • Podium: Ranking Data Using Mixed-Initiative Visual Analytics 

    Kalidindi, Bharath V
    Ranking points of data is utilized in everyday decision making, and multi-attribute ranking systems are a tool used to facilitate the ranking process and help make these data-driven decisions. These systems ask users to ...
  • Moderation in different communities on Reddit -- A qualitative analysis study 

    Birman, Iris
    The purpose of this study is to analyze moderation of different subreddits with varying degrees of moderation on Reddit. Understanding differences between how and to what extent rules, which are specified in the community ...

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