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生物信息学
- 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 生物医学 Informatics
- Machine 学习 and Computational Systems Medicine (ML-CSM) Lab
- Biomolecular and 生物医学 Informatics
- Machine 学习 and Computational Systems Medicine (ML-CSM) Lab
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网络科学 & 数字图书馆
- Web存档
- 信息检索
- 网络科学
- 社交媒体分析
- 数字保存
- 人机交互
- 学术大数据
- 信息可视化
- WS-DL实验室
网络科学 and 数字图书馆 - LAMP-SYS实验室
Lab for 应用机器学习 and Natural Language Processing Systems - NIRDS实验室
Neuro 信息检索 and 数据科学
- WS-DL实验室
网络科学 and 数字图书馆 - LAMP-SYS实验室
Lab for 应用机器学习 and Natural Language Processing Systems - NIRDS实验室
Neuro 信息检索 and 数据科学
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高性能计算
- 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
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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, 安全, 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 学习 in Scientific and Medical 图像 Computing with current research activities in Deep 学习: 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.
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人工智能 & 数据分析
- 应用机器学习
- 大数据分析
- 认知计算
- 数据科学
- 数据挖掘
- 人机交互
- 信息检索
- 访问计算 (Vikas Ashok)
- NIRDS实验室
Neuro 信息检索 and 数据科学 - 潮人
High Performance Scientific Computing Team for Efficient 研究 模拟 - LAMP-SYS实验室
Lab for 应用机器学习 and Natural Language Processing Systems - AI Methods and Applications Group (Yaohang)
- WS-DL实验室
网络科学 and 数字图书馆 - Machine 学习 and Computational Systems Medicine (ML-CSM) Lab
- 访问计算 (Vikas Ashok)
- NIRDS实验室
Neuro 信息检索 and 数据科学 - 潮人
High Performance Scientific Computing Team for Efficient 研究 模拟 - LAMP-SYS实验室
Lab for 应用机器学习 and Natural Language Processing Systems - AI Methods and Applications Group (Yaohang)
- WS-DL实验室
网络科学 and 数字图书馆 - Machine 学习 and Computational Systems Medicine (ML-CSM) Lab
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网络安全
- Security and 隐私 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, 隐私-Preserving 数据挖掘
- Cloud, 区块链, and Cryptocurrency security
- Internet of Things security
- Lab for Secure and Intelligent Computing
- Lab for Secure and Intelligent Computing
研究兴趣
- 安德烈Chernikov: Computational Geometry with Focus on Mesh Generation, Formal Methods, Parallel Computing
- Nikos Chrisochoides: High-Performance Computing, Medical Imaging
- Vikas Ganjigunte Ashok: 访问计算, 人机交互, 人工智能, Natural Language Processing
- 帅郝: Network Security, Internet Measurement, Web Security, Cybercrime
- 经他: Protein 生物信息学, Deep Convolutional Neural Networks, 图像 Pattern Recognition
- 咦,他: 数据挖掘, Graph Analytics, Responsible 学习 Systems
- 位于Jayarathna:数据科学, 应用机器学习, 眼球追踪, Neuro-信息检索, 人机交互
- 露西李:数据科学, 数据挖掘, Machine 学习, Computer Vision, Wireless Communications
- Yaohang李:人工智能, 计算生物学, Parallel/Distributed/Grid Computing, 大数据分析
- 拉维Mukkamala: 区块链, Cloud Computing, 数据挖掘
- 迈克尔·纳尔逊: 网络科学, 数字图书馆, Digital Preservation, 数据科学, Social Media
- 瑞宁:网络安全, Trustworthy 人工智能 (AI), 隐私-Preserved人工智能, AI In Cyber-Physical Systems
- Stephan Olariu: Cloud Computing / Vehicular Clouds, 车辆通信, 随机建模, 区块链, 聪明的合同, 传感器网络
- Desh野生动物: 生物信息学, Algorithms, Optimization, Parallel and High-Performance Computing
- 姜文的太阳:机器学习, Computational Systems Medicine, 数据挖掘, 医学信息学, 卫生信息学
- 米歇尔·韦格尔: 网络科学, Social Media, Web Archiving, Digital Preservation, Information Visualization
- 剑吴: Natural Language Processing and Understanding, 学术大数据, 科学的科学, 数字图书馆
- 史蒂文Zeil: High-Performance Computing on Emerging Architectures for Scientific Applications and Large-Scale 数据分析
- 默罕默德祖拜尔: High-Performance Computing on Emerging Architectures for Scientific Applications and Large-Scale 数据分析
- 莎拉·胡斯尼: (Independent 研究er) Brain Data Analysis, 脑机接口, Neurotechnology for 健康care, 计算神经科学