Project Title: Development of Autonomous Mobile Agents (Robots) Application Deadline: End of add/drop period in each term Our research focuses on the design and evaluation of applications and techniques that support effective interaction and understanding of data, information, and virtual environments. Advancements in affordable optics-based imaging technology have made a wide range of new data formats available for scientific analysis of real objects. Student Level: Junior, Senior, 2 students per semester Students interested in any of these aspects are encouraged to apply. Student Level: Junior, Senior; 2 students per semester Student Level: Junior, Senior, 1 student per semester We combine particle synthesis, modification, and characterization and fundamental understanding of response to magnetic actuation to advance applications in biomedical imaging, therapeutic delivery, and nanoscale thermal therapy. Probability and Statistics

The Florida Institute for Cybersecurity Research (FICS Research) was established to be the nations premier multidisciplinary research institute in the advancement of cybersecurity as a basis for long-term partnership and collaboration among industry, academe, and government. Application Requirements: Resume, faculty interview, attend a group meeting; email faculty at with pdf resume to schedule interview. The HXR Lab builds innovative solutions to real-world problems by integrating people, technology, policy, culture, etc. Terms Available: Fall, Spring, Summer Website: Terms Available: Fall, Spring, Summer Project Title: Big Data technologies for Actigraphy Problems Website: Prerequisites: Project details can be developed based on students interest and background. Credit: 0-3 credits via EGN 4912 Ph.D. Student Mentor(s): NA

The selected student may also assist in adding functionality (via the Unity game engine) to a final release of the CBT framework and porting the project to various VR devices such as the HTC Vive. Student Level: Freshman, Sophomore, Junior, Senior; 15-50 students per term Medical image computing develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care. Prerequisites: HTML programming Mobile and pervasive computing at the University of Florida means exciting research, cutting-edge technology innovation, and solid educational training. Student Level: Freshman, Sophomore, Junior, Senior, 1 student per semester; ideally stays at least a year Prerequisites: Expertise in Data structures and Programming. Website: Java I and Java II already completed is strongly preferred, and completion of Data Structures will open the most possibilities for a student in our lab. Calculus I. Website: Example project: Project Description: Move modeling tasks into a head-mounted display environment.

Faculty Mentor: Sanjay Ranka, Conduct hands-on human-centered studies Application Deadline: rolling deadline until hired. Terms Available: Fall, Spring, Summer Such research in a Big Data era is called Data Science, which is a profession, a research agenda, as well as a sport! Student Level: Junior, Senior; 1-2 students a term Bioinformatics aims to study biological data using computational techniques. Research areas include wearable technologies for learning, enactment-based storytelling, Maker technologies in education and narrative-centered technological approaches. The Center has been the site for several workshops for representatives from other Universities, business, the U.S. Government, and foreign governments (United Kingdom, Canada, and Australia). We have also developed VR and mobile applicationempathy games for elementary school children. We develop algorithms to process and analyze these complex datasets. Butler Ph.D. Our current research focuses on developing new Natural User Interfaces (NUI) that support non-verbal communication in novel ways, developing tools to support collaboration in large distributed e-science projects, developing new gestural interactions for virtual reality and augmented reality, and understand the challenges in developing NUIs for children. bermudez cise manuel retires years Project Description: How can we improve how we train people to interact with other people? Application Requirements: Resume, Faculty Interview; email Dr. McMullen ( with your resume to request an interview Department: Computer and Information Sciences and Engineering Prerequisites: programming fundamentals Terms Available: Fall, Spring Stipend: None unless selected for University Scholars Summer Undergraduate Research at Florida (SURF), Department Graduate Coordinators (Faculty), Computer and Information Science and Engineering, EGN 4912 Engineering Undergraduate Research, University Scholars Nomination Form (Faculty Use Only), Engineering Undergraduate Research & University Scholars Application,,,,, Project Description: Development of techniques for collecting, monitoring and modeling activity information of older adults and correlating them with their physical and mental health. Project Description: 3D audio, commonly referred to as spatial audio, allows users to gather various forms of information quickly. Helpful skills (encouraged but not required) include: programming fundamentals, experimental design, data analysis, experience working with children, good people skills, attention to detail, organization, time management. The LearnDialogue Group investigates how natural language dialogue and intelligent systems can support human learning, especially for computer science education. We conduct research in the theory and realization of autonomous mobile agents covering topics such as machine learning, real-time sensor integration (including computer vision, LADAR, sonar, radar, IMU, etc. Department: Computer and Information Science and Engineering Website: Department: Computer and Information Science and Engineering Ph.D. Student Mentor(s): n/a One of the most used tests for measuring spatial memory is the Corsi Block-Tapping Test (CBT). Our research also conducts auditory perception tests for each simulated HRTF to compare the perception difference between simulated HRTFs and generic HRTFs. We study the design, development and evaluation of technologies in applied context. Website: 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. Prerequisites: Programming fundamentals, experience with C++ and/or knowledge of web technologies (javascript, jquery, html, webgl) The Algorithms research area includes Data Structures, Discrete Mathematics, and Computational Geometry.

The Human-Experience Research (HXR) Lab conducts research in Human-Centered Computing (HCC). Some of our active research projects includeElectronic 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. Application Deadline: End of add/drop period in each term Ph.D. Student Mentor(s): n/a Integrating mesh postprocessing procedures. Faculty Mentor: Jorg Peters, ), optimization, and control. Application Requirements: Faculty interview; send email to Dr. Schwartz at to set up an appointment Terms Available: Fall, Spring

Project Title: Project #2 Altering Sonic Cues to Improve Real-World Target Detection with 3D Audio Application Requirements: Resume, UF unofficial transcripts, Faculty interview; Email one pdf file with all application requirements to Baba Vemuri; The challenge however is in developing computationally efficient algorithms while respecting the geometry of the underlying space. Research has been conducted on enhancing current capabilities of knowledge bases. SurfLab = Geometric Algorithms + 3D Graphics + Interactive Simulation. Application Requirements: Resume, Faculty Interview; email Dr. McMullen ( with your resume to request an interview Faculty Mentor: Baba Vemuri, Terms Available: Fall, Spring Project Title: Development of Autonomous Mobile Agents (Robots) Prerequisites: Projects can be customized according to background of student. Faculty Mentor: Boyi Hu, Therefore, this work aims to assist firefighters in first responder situations in improving response times and their path traversed to locations of interest, based on how the 3D audio sound is presented. Students considering graduate school are especially courage to apply. Data will be captured using state-of-the-art imaging systems. The Geoplexity Research Group works on a variety of types of discrete structures as they grow in size. Project Title: Project #1 Spatial Audio Localization Research The focus of this research is on machine learning and modeling algorithms for estimating forest health. Stipend: $10 per hour up to 10 hours a week Credit: 3 credits via EGN 4912 Application Deadline: March 1 for Summer and Fall terms; November 1 for Spring term 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. Application Deadline: Open until filled Department: Computer and Information Science and Engineering Student Level: Junior, Senior; 1 Student Per Semester Application Requirements: Official University transcript required. Prerequisites: Should be able to read and write C++, QT openGL/webGL (or substitute object oriented/graphics programming languages); quickly pick up software such as openVolumeMesh, and program in matlab, etc. Project Title: Interacting with Virtual Humans to Improve Communication Skills

Terms Available: Summer The part of human memory that allows us to remember where things are in our environment is commonly referred to as spatial memory. Stipend: none unless selected for University Scholars; after a trial period: $10 per hour up to 10 hours a week At the UF Department of Computer & Information Science & Engineering, our faculty and their Ph.D. students are working on some incredible research. Linear Algebra. Prerequisites:Linear Algebra, Vector Calculus, Numerical Analysis, Probability and Statistics, Proficiency in Python/MATLAB/C++ Ph.D. Student Mentor(s): TBD based on project and availability Student Level: Junior, Senior, 1 student per semester Computer vision is an interdisciplinary scientific field that deals with how computers can gain a high-level understanding from digital images or videos. FICS Research is unique. Prerequisites: Interest and prior knowledge in respective application domains: (1) Law (2) Ecology (3) Biomedical; data structure and programming; database and machine learning Make time to attend group meeting. Terms Available: Fall, Spring, Summer From training better health care, law enforcement, business, and education (amongst others) will require new simulations to practice and train on interpersonal skills. Prerequisites: MATLAB, C++, Python, or Java. Hours per week flexible. Linear Algebra. Research areas include information visualization, virtual reality, 3D interaction, visual analytics, and educational games. Credit: 0-3 credits via EGN4912 Ph.D. Student Mentor(s): Shashank Ranjan, The Engaging LearningLabconductsresearch in three areas: Computer Science Education (CS ED), Learning Technology Design &Evaluation, and Curriculum Development & Assessment for K-12 and Undergraduate students. Website: Application Deadline: Open Measurement is not a practical method to individualize HRTFs. Faculty Mentor: Meera Sitharam, Ph.D. Student Mentor(s): Xiaofeng Zhou,; Miguel Rodriguez, Ph.D. Student Mentor(s): varies Faculty Mentors:Eric Schwartz, Faculty Mentor: Kyla McMullen, Ph.D. Student Mentor(s): Mentor will be selected to best fit the undergraduate applicant. Ph.D. Student Mentor(s): n/a While not required, familiarity with C#, Matlab, Python, and Unity will be helpful in completing the project. Researchers are investigating airborne systems with imaging spectrometers that produce images with hundreds of spectral bands. Stipend: none unless selected for University Scholars Application Deadline: Rolling Project Title: Geometry aware Machine Learning for Computer Vision and Medical Imaging Department: Computer and Information Science and Engineering The selected student will assist in conducting subject studies relating to these CBTs. Credit: 0-3 credits via EGN 4912 The design of a digital CBT for virtual environments could lead to a better understanding of spatial memory in such environments. Application Deadline: rolling deadline (you can apply at any time, however course credit is based on standard university enrollment deadlines) Student Level: Freshman, Sophomore, Junior, Senior, 5-15 students a term Need to have good time management and organization skills and previous web development experience. Project Title #2: Web Development and Server Management

Project Description: Applying big-data and machine learning to applications in transportation, health care and smart cities. Ph.D. Student Mentor(s): Terek Arce Director: Swarup Bhunia, Ph.D.,; Associate Director: My T. Thai, Ph.D. Adaptive Learning & Optimization Lab 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: Mark Tehranipoor, Ph.D.; Associate Director: Kevin R.B. Current efforts focus on developing tracers for magnetic particle imaging (MPI), an exciting new biomedical imaging modality that allows for non-invasive, unambiguous, and quantitative imaging of the in vivo distribution of superparamagnetic iron oxide nanoparticle tracers. We build computational models of human collaboration and tutoring, and these models drive the adaptivity of our intelligent systems. The backend is in C++, the GUI is QT and webGL, other libraries such as OpenMesh and OpenVolumeMesh are used, and programming and interfacing with matlab is frequent. Project Description: My projects change faster than this database will be updated. Credit: 0-3 credits via EGN 4912 Faculty Mentor: Benjamin Lok, Terms Available: Fall, Spring, and Summer Terms Available: Fall, Summer Ph.D. Student Mentor(s): varies This project is to develop the front end of demos of different QA scenarios over such advanced KBs. The Bioinformatics Lab develops novel algorithms and software for computational analysis of bioinformatics data. Application Deadline: We conduct interviews on a rolling basis. Students are welcome to help research teams in the following tasks: Ph.D. Student Mentor(s): N/A Application Deadline: Rolling deadline effective until September 2016 Credit: 0-3 credits via EGN 4912 Student Level: Junior or Senior; 2 students a term Ph.D. Student Mentor(s): Rahul Prabhu,

Stipend: None initially, will depend on performance and availability of funds; university scholars Analyze the data collected in MATLAB Ph.D. Student Mentor(s): Shashank Ranjan, The ELX lab conducts research in human-computer interaction, with a focus on learning technologies and technologies to support mental wellness. Stipend: $10-15 per hour for up to 20 hours per week P.O. We also try to reduce the cone of confusion, a common phenomenon in virtual sound source localization. E301 CSE Building,

Credit: 0-3 credits via EGN 4912 Developing an understanding of how various CBTs implemented in Augmented Reality (AR) measure aspects of spatial memory (e.g., walking versus reaching space) From voting technology to virtual environments, augmented reality and virtual reality, take a moment to explore our labs and the work our researchers are doing. 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. More critical tasks, such as remembering the location of anatomical structures during a surgical operation or a fire escape during a fire, make use of the same ability. 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. Application Deadline: Open until filled 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. Student Level: Freshman, Sophomore, Junior; 2 students in fall/spring; 3 students in summer At the core is an integrated circuit designed to carry out computation for real-time operations. Faculty Mentor: Daisy Zhe Wang, Interested students should have good time management and organization skills, and be able to code in MATLAB.

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. The massive scale of these collections requires new computational algorithms. Stipend: none in the first semester unless selected for University Scholar; hourly stipend available after that based on performance and fit to project Prerequisites: Java Programming, Data Structures To fuel the next industrial revolution, the Institute will promote tech transfer, entrepreneurship, policy, education and outreach in IoT and its integral components of sensors, low-power embedded processing, communication, networking, cloud computing, data analytics, machine learning, security, privacy and trust. Stipend: TBD Project Title #2: Data Science Application to Law, Ecology and Biomedical Domains Student Level: Sophomore, Junior; 1 student a term Course in machine learning a plus. The Indie Lab engages in human-centered research of interactive visualizations. Application Requirements: Faculty interview; visit Dr. Hill in NSC 224. Credit: 3 credits via EGN 4912 Project Description: Knowledge bases are used to provide QA to intelligent systems. Department: Computer and Information Sciences and Engineering Student Level: Freshman, Sophomore, Junior, Senior, 2 students per semester Project Description: This project applies deep learning algorithms for identifying and classifying cancerous regions in high resolution slide scans. Prerequisites: Past experience with UI design and development; Data Structures, Programming

Stipend: none unless selected for University Scholars; after a trial period: $10 per hour up to 10 hours a week

Probability and Statistics Faculty Mentor: Ira Hill; Application Deadline: N/A Project Description: My lab focuses on advanced interaction technologies such as touch, speech, and gesture, especially for children in the context of educational interfaces. New theoretical results and algorithms developed by the group have to be understood, implemented as software and incorporated into the suite.