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Dr. Ackerman's research interests include computational creativity, machine learning, and data-driven approaches to diversity and inclusion.
Dr. Amer's research interests include distributed storage systems, predictive management of data and storage, alternative and upcoming storage technologies, and energy management.
Dr. Atkinson's research interests include software engineering, compilers, static analysis tools, data structures, and programming languages.
Dr. Choi's research interests include cloud computing, new systems and accelerators for blockchain, machine learning and AR/VR, and multilingual programming education.
Dr. Davis's research interests include formal methods in software engineering, programming languages, and improving diversity in engineering.
Dr. Fang's research interests include Web science, data-intensive computing, and large-scale information retrieval.
Dr. Figueira's research interests include energy-efficient and humanitarian computing.
Dr. Hsiao researches the intersection of Artificial Intelligence and Human Computer Interaction. Her research focuses on designing and evaluating innovative Educational Technology & Immersive Technology (specifically AR) to help people learn and to improve computer science education.
Dr. Kreminski researches human-centered artificial intelligence, with a particular focus on computational creativity, creativity support tools, interactive narrative, and game design.
Dr. Li's research interests are centered on large-scale optimization and its intersection with cyber-physical systems, cyber-security of networking systems, and big data analysis.
Dr. Ling's research interests include video and image coding and processing with visual processing and deep learning approaches.
Dr. Liu's research interests include machine learning, deep learning, image and video compression, video prediction and generation, and visual analytics.
Dr. Liu's research interests focus on trustworthy computing and its applications in emerging applications, such as trustworthy online social media, and secure Internet of Things.
Dr. Lukoff's research areas include human-computer interaction, social computing, digital storytelling, and augmented and virtual reality. He develops and deploys sociotechnical systems that advance wellbeing, equity, and user agency.
Dr. Shang's research interests include parallel processing, computer architecture, algorithm theory, and nonlinear programming.