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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
- Machine Learning and Computational Systems Medicine (ML-CSM) Lab
- Machine Learning and Computational Systems Medicine (ML-CSM) Lab
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Web Science & Digital Libraries
- Web archiving
- Information retrieval
- Web science
- Social media analysis
- Digital preservation
- Human-computer interaction
- Scholarly big data
- Information visualization
Web Science and Digital Libraries
Lab for Applied Machine Learning and Natural Language Processing Systems
Neuro Information Retrieval and Data Science
Web Science and Digital Libraries
Lab for Applied Machine Learning and Natural Language Processing Systems
Neuro Information Retrieval and Data Science
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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
High Performance Scientific Computing Team for Efficient Research Simulation
Center for Real-time Computing- Intel oneAPI Center of Excellence
High Performance Scientific Computing Team for Efficient Research Simulation
Center for Real-time Computing- Intel oneAPI Center of Excellence
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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.
High Performance Scientific Computing Team for Efficient Research Simulation
Center for Real-time Computing
High Performance Scientific Computing Team for Efficient Research Simulation
Center for Real-time Computing
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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)
Neuro Information Retrieval and Data Science
High Performance Scientific Computing Team for Efficient Research Simulation
Lab for Applied Machine Learning and Natural Language Processing Systems- AI Methods and Applications Group (Yaohang)
Web Science and Digital Libraries- Machine Learning and Computational Systems Medicine (ML-CSM) Lab
- Accessible Computing (Vikas Ashok)
Neuro Information Retrieval and Data Science
High Performance Scientific Computing Team for Efficient Research Simulation
Lab for Applied Machine Learning and Natural Language Processing Systems- AI Methods and Applications Group (Yaohang)
Web Science and Digital Libraries- Machine Learning and Computational Systems Medicine (ML-CSM) Lab
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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
- Lab for Secure and Intelligent Computing
Faculty Research Interests
- : Computational Geometry with Focus on Mesh Generation, Formal Methods, Parallel Computing
- : High-Performance Computing, Medical Imaging
- Vikas Ganjigunte Ashok: Accessible Computing, Human-Computer Interaction, Artificial Intelligence, Natural Language Processing
- : Network Security, Internet Measurement, Web Security, Cybercrime
- : Protein Bioinformatics, Deep Convolutional Neural Networks, Image Pattern Recognition
- Yi He: Data Mining, Graph Analytics, Responsible Learning Systems
- : Data Science, Applied Machine Learning, Eye-Tracking, Neuro-Information Retrieval, Human-Computer Interaction
- Lusi Li: Data Science, Data Mining, Machine Learning, Computer Vision, Wireless Communications
- : Artificial Intelligence, Computational Biology, Parallel/Distributed/Grid Computing, Big Data Analysis
- : Blockchain, Cloud Computing, Data Mining
- : Web Science, Digital Libraries, Digital Preservation, Data Science, Social Media
- Rui Ning: Cybersecurity, Trustworthy Artificial Intelligence (AI), Privacy-Preserved AI, AI In Cyber-Physical Systems
- : Cloud Computing / Vehicular Clouds, Vehicular Communications, Stochastic Modeling, Blockchain, Smart Contracts, Sensor Networks
- Desh Ranjan: Bioinformatics, Algorithms, Optimization, Parallel and High-Performance Computing
- : Machine Learning, Computational Systems Medicine, Data Mining, Medical Informatics, Health Informatics
- : Web Science, Social Media, Web Archiving, Digital Preservation, Information Visualization
- : Natural Language Processing and Understanding, Scholarly Big Data, Science of Science, Digital Libraries
- : High-Performance Computing on Emerging Architectures for Scientific Applications and Large-Scale Data Analytics
- : High-Performance Computing on Emerging Architectures for Scientific Applications and Large-Scale Data Analytics
- Sarah Hosni:Â (Independent Researcher) Brain Data Analysis, Brain-Computer Interface, Neurotechnology for Healthcare, Computational Neuroscience