Image
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
- Biomolecular and Biomedical Informatics
- Machine Learning and Computational Systems Medicine (ML-CSM) Lab
- Biomolecular and Biomedical Informatics
- Machine Learning and Computational Systems Medicine (ML-CSM) Lab
Image
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
- 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
Image
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
Image
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.
Image
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 - Machine Learning and Computational Systems Medicine (ML-CSM) Lab
- 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 - Machine Learning and Computational Systems Medicine (ML-CSM) Lab
Image
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
- Andrey Chernikov: Computational Geometry with Focus on Mesh Generation, Formal Methods, Parallel Computing
- Nikos Chrisochoides: High-Performance Computing, Medical Imaging
- Vikas Ganjigunte Ashok: Accessible Computing, Human-Computer Interaction, Artificial Intelligence, Natural Language Processing
- Shuai Hao: Network Security, Internet Measurement, Web Security, Cybercrime
- Jing He: Protein Bioinformatics, Deep Convolutional Neural Networks, Image Pattern Recognition
- Yi He: Data Mining, Graph Analytics, Responsible Learning Systems
- Sampath Jayarathna: 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
- Yaohang Li: Artificial Intelligence, Computational Biology, Parallel/Distributed/Grid Computing, Big Data Analysis
- Ravi Mukkamala: Blockchain, Cloud Computing, Data Mining
- Michael Nelson: 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
- Stephan Olariu: Cloud Computing / Vehicular Clouds, Vehicular Communications, Stochastic Modeling, Blockchain, Smart Contracts, Sensor Networks
- Desh Ranjan: Bioinformatics, Algorithms, Optimization, Parallel and High-Performance Computing
- Jiangwen Sun: Machine Learning, Computational Systems Medicine, Data Mining, Medical Informatics, Health Informatics
- Michele Weigle: Web Science, Social Media, Web Archiving, Digital Preservation, Information Visualization
- Jian Wu: Natural Language Processing and Understanding, Scholarly Big Data, Science of Science, Digital Libraries
- Steven Zeil: High-Performance Computing on Emerging Architectures for Scientific Applications and Large-Scale Data Analytics
- Mohammed Zubair: High-Performance Computing on Emerging Architectures for Scientific Applications and Large-Scale Data Analytics
- Sarah Hosni: (Independent Researcher) Brain Data Analysis, Brain-Computer Interface, Neurotechnology for Healthcare, Computational Neuroscience