Bioinformatics aims to study biological data using computational techniques. The key subgoals in bioinformatics are (i) enabling efficient access to bioinformatics data, (ii) analysis and interpretation of biological data. The Bioinformatics Lab develops novel algorithms and software for computational analysis of bioinformatics data.
Center for Vision, Graphics, and Medical Imaging (CVGMI) at the University of Florida serves two main purposes:
- To promote basic and applied research in Computer Vision, Vision-Graphics and Medical Image Analysis.
- To provide a research environment for faculty and graduate students with research interests in the aforementioned areas.
Director: Baba C. Vemuri, Ph.D.
Data Science Research Group at the University of Florida focuses on large-scale data management, data mining and data analysis using technologies from database management Systems (DBMS’s), Statistical Machine Learning (SML), and Information Visualization. Such research in a Big Data era is called Data Science, which is a profession, a research agenda, as well as a sport! The goal of Data Science research is to build systems and algorithms to extract knowledge, find patterns, generate insights and predictions from diverse data for various applications and visualization.
Director: Daisy Zhe Wang, Ph.D.
The primary focus of Embedded Systems Lab is to develop efficient tools, techniques and methodologies for developing low-power, high-performance and reliable embedded systems. Currently, we are investigating many exciting and cutting-edge research problems including energy-aware computing, system-level modeling and validation, self-healing systems, hardware security and trust, and post-silicon validation and debug. These research projects are sponsored by National Science Foundation (NSF), Semiconductor Research Corporation (SRC), US Department of Education (ED), Army Research Office (ARO), IBM, and Intel.
Director: Prabhat Mishra, Ph.D.
The Engaging Learning Lab conducts research in three areas: Computer Science Education (CS ED), Learning Technology Design & Evaluation, and Curriculum Development & Assessment for K-12 and Undergraduate students. Through our research and collaborations, we aim to advance the science of how people learn in technology-rich learning environments, learn computer science, and develop identities as computational thinkers and CS Professionals. Our research uses computer science techniques, learning theory, HCI, design-based research, qualitative and quantitative methods, and BCI devices to build models of cs learning and identity development, identify pedagogical and instructional best practices, develop learning and identity assessments, and learning environments and curricula. We have developed several CS curricula and assessments for K-12 students in Artificial Intelligence, Cyber-security, Robotics, Mobile App Development, Game Design, and Introductory programming. We have also developed VR and mobile application empathy games for elementary school children. Using these curricula, we collaborate with schools and community organizations to offer after-school and summer camp programs for K-12 students and professional development workshops for teachers.
Director: Christina Gardner-McCune, Ph.D.
The Graphics Imaging & Light Measurement Lab develops imaging techniques and analysis algorithms in Computer Graphics and Vision for applications in Bio-Diversity, Bio-Medical Research and Archaeology. Advancements in affordable optics-based imaging technology have made a wide range of new data formats available for scientific analysis of real objects. Inspired by this trend, we develop systems that capture objects using several imaging modalities, record the spectral distribution of light sources, and measure physically-based material light reflectance models. We develop algorithms to process and analyze these complex datasets. Research topics include 3D Acquisition & Appearance Modeling, Imaging Spectrometry, Machine Learning & Matching and Non-Photorealistic Rendering.
Director: Corey Toler-Franklin, Ph.D.
The Human-Experience Research (HXR) Lab conducts research in Human-Centered Computing (HCC). HCC is focused on understanding how to make computational technologies more usable and how computational technologies affect society. We study the design, development and evaluation of technologies in applied context. The HXR Lab builds innovative solutions to real-world problems by integrating people, technology, policy, culture, etc. Some of our active research projects include Electronic voting, advanced learning technologies, brain-computer interfaces, multimodal user interfaces, voice user interfaces, culturally-relevant computing/ethnocomputing, IT workforce development, and broadening participation in computing.
Director: Juan E. Gilbert, Ph.D.
The INIT Lab (the Intelligent Natural Interaction Technology Laboratory) focuses on advanced interaction technologies such as touch, speech, and gesture, especially for children in the context of educational interfaces. INIT Lab projects advance human-computer interaction (HCI) research questions of how users want to interact with these natural modalities, and computer science research questions of how to build recognition algorithms that can understand user input in these ambiguous modalities.
Director: Lisa Anthony, Ph.D.
The Indie Lab engages in human-centered research of interactive visualizations. Our research focuses on the design and evaluation of applications and techniques that support effective interaction and understanding of data, information, and virtual environments. Research areas include information visualization, virtual reality, 3D interaction, visual analytics, and educational games. The group includes undergraduate and graduate students from multiple departments, and we actively collaborate with faculty across the university.
Director: Eric Ragan, Ph.D.
The LearnDialogue Group investigates how natural language dialogue and intelligent systems can support human learning, especially for computer science education. We build computational models of human collaboration and tutoring, and these models drive the adaptivity of our intelligent systems.
Director: Kristy Elizabeth Boyer, Ph.D.
The Mobile and Pervasive Computing Laboratory was established in March of 2000 through a donation from Harris Corporation. Mobile and pervasive computing at the University of Florida means exciting research, cutting-edge technology innovation, and solid educational training. Professor Helal is directing several research projects in the areas of Mobile and Pervasive Computing. Most of the projects are human-centered addressing quality of life issues and benefiting different user groups including an individual with special needs and the growing elderly population around the world.
Director: Sumi Helal, Ph.D.
Optima Network Science at the University of Florida conducts research on a broad range of topics centered on the optimization and its connection to network science, which is an interdisciplinary academic field, including communication networks, online social networks, smart-grids, and national critical network infrastructures.
Director: My T. Thai, Ph.D.
The SoundPad Lab uses 3D audio to create assistive technology, universally accessible interfaces, multi-modal interfaces, and to discover patterns in big data. We also research the perceptual requirements necessary to render realistic spatial sound using headphones in virtual environments. Our research interests include Human-Computer Interaction in the contexts of 3D Audio Processing, Multi-modal Interfaces, Psycho-acoustics, and Virtual Environments.
Director: Kyla McMullen, Ph.D.
SurfLab = Geometric Algorithms + 3D Graphics + Interactive Simulation
Director: Jorg Peters, Ph.D.