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
Web Science & Digital Libraries
- Web archiving
- Information retrieval
- Web science
- Social media analysis
- Digital preservation
- Human-computer interaction
- Scholarly big data
- Information visualization
- 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
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.
Artificial Intelligence & Data Analytics
- Applied Machine Learning
- Big Data Analytics
- Cognitive Computing
- Data Science
- Data Mining
- Human Computer Interaction
- Information Retrieval
- 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
- 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
