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Department of Computer ScienceResearch

Bioinformatics

  • Data analytics in protein structures and biological images
  • Algorithms design and big data techniques for bioinformatics problems
  • Machine learning and deep learning techniques for medicine and health
Computer Science


Web Science & Digital Libraries

  • Web archiving
  • Information retrieval
  • Web science
  • Social media analysis
  • Digital preservation
  • Human-computer interaction
  • Scholarly big data
  • Information visualization
Website design. Developing programming and coding technologies.

  • WS-DL Lab
    Web Science and Digital Libraries
  • LAMP-SYS Lab
    Lab for Applied Machine Learning and Natural Language Processing Systems
  • NIRDS Lab
    Neuro Information Retrieval and Data Science

High Performance Computing

  • Data analytics in protein structures and biological images
  • Algorithms design and big data techniques for bioinformatics problems
  • Machine learning and deep learning techniques for medicine and health
network engineer working in server room

  • HiPSTERS
    High Performance Scientific Computing Team for Efficient Research Simulation
  • CRTC
    Center for Real-time Computing

Center for Real-time Computing

  • High Performance and Parallel Scientific/Medical Computing for both algorithms and systems with current research activities in:
    • Algorithms: Identify and design examples of reusable and adaptive anisotropic mesh generation kernels, using practical correct-by-construction paradigms and systems to ensure their correct, secure, and scalable implementation
    • Software Systems: Identify and prioritize the best possible practices to support heterogenous processors and new program execution and memory models, focusing on parallel adaptive and irregular applications exascale-era and real-time computing.
  • Machine Learning in Scientific and Medical Image Computing with current research activities in Deep Learning: The objective is to investigate machine learning models and distributed training methods for the implementation of learning frameworks capable to build predictive models in a security- and privacy- aware manner to improve real-time and scalability aspects of the targeted computing systems in the long run.
Computer Training Lab

  • HiPSTERS
    High Performance Scientific Computing Team for Efficient Research Simulation
  • CRTC
    Center for Real-time Computing

Artificial Intelligence & Data Analytics

  • Applied Machine Learning
  • Big Data Analytics
  • Cognitive Computing
  • Data Science
  • Data Mining
  • Human Computer Interaction
  • Information Retrieval
Header image for data science and analytics program

  • Accessible Computing (Vikas Ashok)
  • NIRDS Lab
    Neuro Information Retrieval and Data Science
  • HiPSTERS
    High Performance Scientific Computing Team for Efficient Research Simulation
  • LAMP-SYS Lab
    Lab for Applied Machine Learning and Natural Language Processing Systems
  • AI Methods and Applications Group (Yaohang)
  • WS-DL Lab
    Web Science and Digital Libraries

Cybersecurity

  • Security and Privacy of Internet and Network Systems, Web Security, and Cybercrime
  • Wireless Network, Mobile/Edge Computing, Distributed Systems
  • Hardware Security, Parallel Algorithms and Architectures, Heterogeneous System Architecture
  • AI Security, Privacy-Preserving Data Mining
  • Cloud, Blockchain, and Cryptocurrency security
  • Internet of Things security
Cybersecurity Fingerprint Stock

  • Lab for Secure and Intelligent Computing

Faculty Research Interests

  • Andrey Chernikov: Image Analysis in Medical and Bio-Material Modeling and Simulation, Parallel Computational Geometry with focus on quality mesh generation, High-Performance Scientific Computing
  • Nikos Chrisochoides: Medical Image Computing, Scientific Computing, Parallel, Distributed and Cloud Computing
  • Shuai Hao: Security and Privacy of Internet and Networking Systems, Internet Infrastructure and Measurement, Data-driven Security Analytics, Web Security and Cybercrime.
  • Jing He: Computational Biology, Protein Bioinformatics, Image Pattern Recognition
  • Sampath Jayarathna: Data Science, Neuro-Information Retrieval, Eye Tracking, Human-Computer Interaction, Machine Learning, Digital Libraries
  • Yaohang Li: Computational Biology/ Bioinformatics, Computational Science, Monte Carlo Methods, High Performance Computing, Big Data Analysis
  • Ravi Mukkamala: Cybersecurity, Data Mining, Privacy-Preserving Mining, Distributed Systems, Performance Analysis, Modeling & Sim
  • Michael Nelson: Digital Libraries, Web Preservation, Information Retrieval, Web Science, Social Media
  • Stephan Olariu: Mobile Computing, Wireless Networks, Parallel Algorithms and Architectures, Distributed Algorithms, Performance Evaluation
  • Desh Ranjan: Algorithms, Bioinformatics, Parallel Computing, Computational Complexity
  • Jiangwen Sun: Machine Learning, Computational Systems Medicine, Data Mining, Medical Informatics, Health Informatics
  • Cong Wang: Mobile Computing, Cybersecurity, Energy Efficiency, Machine Learning
  • Fengjiao Wang: Solving challenges for e-commerce, online advertising, privacy protection using machine learning, statistics, and optimization with big data and heterogeneous information
  • Michele Weigle: Web Science, Digital Preservation, Social Media, Information Visualization
  • Jian Wu: Text Mining, Scholarly Big Data, Digital Libraries, Search Engines, Natural Language Processing, Applied Machine Learning, and Deep Learning
  • Steven Zeil: Software Testing, Software Development Environments
  • Danella Zhao: Multicore/Many-Core Computing and On-Chip Networking, Heterogeneous System Architecture, Hardware Security, Embedded and Cyber Physical Systems
  • Mohammed Zubair: High Performance Computing in the areas of Econometrics, Financial, Bioinformatics, and Scientific Computing

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