Research from the Department of Computer Science. The department website may be found at

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  • Finding the Most Predictive Data Source in Biological Data 

    Chakraborty, Ushashi (North Dakota State University, 2013)
    Classification can be used to predict unknown functions of proteins by using known function information. In some cases, multiple sets of data are available for classification where prediction is only part of the problem, ...
  • Adaptive Regression Testing Strategy: An Empirical Study 

    Arafeen, Md. Junaid (North Dakota State University, 2012)
    When software systems evolve, different amounts of code modifications can be involved in different versions. These factors can affect the costs and benefits of regression testing techniques, and thus, there may be no single ...
  • Mining for Significant Information from Unstructured and Structured Biological Data and Its Applications 

    Al-Azzam, Omar Ghazi (North Dakota State University, 2012)
    Massive amounts of biological data are being accumulated in science. Searching for significant meaningful information and patterns from different types of data is necessary towards gaining knowledge from these large amounts ...
  • Using Information Retrieval to Improve Integration Testing 

    Alazzam, Iyad (North Dakota State University, 2012)
    Software testing is an important factor of the software development process. Integration testing is an important and expensive level of the software testing process. Unfortunately, since the developers have limited time ...
  • Towards Change Propagating Test Models In Autonomic and Adaptive Systems 

    Akour, Mohammed Abd Alwahab (North Dakota State University, 2012)
    The major motivation for self-adaptive computing systems is the self-adjustment of the software according to a changing environment. Adaptive computing systems can add, remove, and replace their own components in response ...
  • A Two-phase Security Mechanism for Anomaly Detection in Wireless Sensor Networks 

    Zhao, Jingjun (North Dakota State University, 2013)
    Wireless Sensor Networks (WSNs) have been applied to a wide range of application areas, including battle fields, transportation systems, and hospitals. The security issues in WSNs are still hot research topics. The constrained ...
  • Efficient Publish/Subscribe System over Mobile Ad-Hoc Network 

    Liu, Chao (North Dakota State University, 2012)
    Information dissemination is an important issue for mobile ad-hoc communities. This issue is very challenging due to the dynamic and fragile nature of the mobile ad-hoc networks, in which participants have limited computing ...
  • A Secure and Reliable Interference-Aware Wireless Mesh Network Design 

    Kandah, Farah Issa (North Dakota State University, 2012)
    A wireless mesh network (WMN) is a multihop wireless network consisting of a large number of wireless nodes of which some are called gateway nodes and connected with a wired network. Wireless mesh network have attracted ...
  • Classification Algorithms Applied to a Brain Computer Interface System Based On P300 

    Gaur, Himanshu (North Dakota State University, 2017)
    A BCI or Brain Computer Interface is defined as a method of communication that converts neural activities generated by brain of living being (without the use of peripheral muscles and nerves) into computer commands or other ...
  • The Insurance Manager - Mobile Application 

    Sharma, Aditi (North Dakota State University, 2017)
    People buy several expensive products with the insurance whether it is a Camera, Phone, Television etc. Insurance usually comes with an end date and other important information like: Product Name, Vendor Name, Price of the ...
  • Perception about GMOs between the USA and Europe through Twitter 

    Chang, Feng (North Dakota State University, 2017)
    Twitter is one of the most popular social networking and microblogging services in the internet world. By the end of Jan 24, 2017, there were at least 100 million active users daily around the world. Due to such a huge ...
  • Finding Hidden Relationships between Medical Concepts by Leveraging Metamap and Text Mining Techniques 

    Yang, Weikang (North Dakota State University, 2017)
    A lot of efforts have been made in order to make new discoveries in the biomedical filed. However, those valuable information may be hidden in text without applying appropriate text mining techniques. In this paper, I ...
  • Market Basket Analysis Algorithm with MapReduce Using HDFS 

    Nuthalapati, Aditya (North Dakota State University, 2017)
    Market basket analysis techniques are substantially important to every day’s business decision. The traditional single processor and main memory based computing approach is not capable of handling ever increasing large ...
  • Implementation of Multilevel Thresholding Based Ant Colony Optimization Algorithm for Edge Detection of Images 

    Kanajal Chandrakanth, Spoorthy (North Dakota State University, 2017)
    Edges in an image characterize object boundaries in an image, which is helpful in image processing and feature extraction in a particular scene. One of the methods used to detect edges in an image is image thresholding, ...
  • Mining Connected Frequent Boolean Expressions 

    Kolte, Deepak (North Dakota State University, 2017)
    In this paper, we are finding Connected Frequent Boolean Expressions from cancer dataset [14] and protein protein interaction network [14] to discover group of dysregulated genes. Frequent Itemset Mining is a process of ...
  • Big Body: A Collaborative Platform for Bodybuilding and Nutrition 

    Arora, Amit (North Dakota State University, 2017)
    Health and a supple body has been seen as a prized possession by almost every culture. Witnessing our body grow and come alive with health after months of hard work is an unparalleled feeling. Bodybuilding tends to improve ...
  • Stock Prediction Analyzing Investor Sentiments 

    Chatterjee, Arijit (North Dakota State University, 2017)
    Video summarizing a Ph.D. dissertation for a non-specialist audience.
  • Cognitive Heuristics in Software Engineering: Evaluating Confirmation Bias during Software Testing 

    Hegde, Shishir (North Dakota State University, 2017)
    Software engineering is a human centric activity and the thought processes of software engineers have influence on the quality of software products. Cognitive scientists have identified human errors known as cognitive ...
  • Teaching Software Testing Concepts Using Learning Objects 

    Simley, Judi Lynn (North Dakota State University, 2017)
    The ubiquitous nature of software, it is very important to prepare students for jobs in the software industry. There is a profound deficiency in testing skills in graduating students when beginning jobs in Information ...
  • Online Defect Tracking System 

    Soni, Gaurav (North Dakota State University, 2017)
    For Improving Software Reliability, Defect Tracking System (DTS) gives the facility to define the tasks and allow the managers to track the Defects and time spent by each employee for that particular task. This tool can ...

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