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(561) 306-5625<\/span><\/span><\/span><\/span>\/ (561) 297-3470<\/span>(561) 297-3470<\/span><\/span><\/span><\/span><\/p>\nPlease let me know if any of these topics interest you. You can find more about our work at the following sites: http:\/\/csi.fau.edu\/<\/a> \u00a0, http:\/\/csi.fau.edu\/<\/a> \u00a0, http:\/\/android.fau.edu\/<\/a> \u00a0, http:\/\/robotics.fau.edu\/<\/a> \u00a0, http:\/\/smartsystems.eng.fau.edu\/<\/a> , and http:\/\/semanticweb.fau.edu\/<\/a> \u00a0.<\/p>\n If you are interested, you would register for 3 credits of DIS (directed independent study) which counts as a technical elective, or 6 credits of research for MS thesis with me and work on the topic for one to two semesters.<\/p>\n PhD Students: Refer to another tab: “Doctoral Research Topics’ Under Research.<\/p>\n ——————————————————————————————————————<\/p>\n Topic #1: Android App QOS Metrics<\/b><\/p>\n Focus<\/b>: Computer Science<\/p>\n Level<\/b>:\u00a0 UG (COT4900) \u00a0– 3 credits\/semester\/student<\/p>\n Prerequisites<\/b>: CEN 4214 (Software-Hardware Design), COT 6930 (Android Components), or background in Android programming and software engineering<\/p>\n Description<\/b>: We have developed more than 55 Android Apps at FAU; we wish to refine them further and make them usable to all. The student will develop procedures for optimal test coverage, exception handling, refactoring, and power dissipation, and for mapping to different hardware options (screen sizes, hardware accessories and memory capacities) and operating system versions. The student will also validate the processes with two or more existing Apps. This is directly transferable as a job skill.<\/p>\n References<\/b>: d.android.com, PowerTutor, http:\/\/junit.org\/<\/a>, http:\/\/android.fau.edu\/<\/a><\/p>\n Number of DIS Students<\/b>: Two. Students (may or may not work together). Duration:<\/b> One or two semesters<\/p>\n Topic #2: Embedded Android<\/b><\/p>\n Focus<\/b>: Computer Engineering<\/p>\n Level<\/b>:\u00a0 UG (COT4900) \/ G (COT 6905) – 3 credits\/semester\/student<\/p>\n Prerequisites<\/b>: Linux, C, Eclipse, microcontrollers, and background in Android programming.<\/p>\n Description<\/b>: Android, with touch-based user interface and open source code, has created a groundswell of interest among embedded system developers. The student will use ARM\u2019s DS-10 profiler which is an Eclipse Plug-in and an ARM-based board (Panda board) to develop C-level code for Android. The book by Yaghmour shows how to create your own Android version for a particular embedded device. Android has differences with its Linux roots, though it integrates Linux components such as glibc and BusyBox. Embedded Android is in its infancy and Linaro open source project is gaining maturity. There is significant potential for creating new and exciting embedded devices as with wearable computing, medical applications, and gaming.<\/p>\n References<\/b>: Embedded Android by K. Yaghmour, source.android.com, and www.arm.com<\/p>\n Number of DIS Students<\/b>: Two (Students may or may not work together).\u00a0 Duration:<\/b> One or two semesters<\/p>\n Topic #3: Biomedical signal processing with TI\u2019s DSP board<\/b><\/p>\n Focus<\/b>: Electrical Engineering<\/p>\n Level<\/b>:\u00a0 UG (EEL4905) \/ G (EEL 6905) – 3 credits\/semester\/student<\/p>\n Prerequisites<\/b>: Digital Signal Processing (DSP), C and (preferably) Eclipse<\/p>\n Description<\/b>: \u00a0TI provides a DSP board that works with an Eclipse-like new version of Code Composer Studio IDE (integrated development environment). One can plug in the board via a protocol emulator (on the board) to USB input of a PC, so the IDE can be used to develop and debug C code. The student will help develop a course around their TMS DSP board and the books for a biomedical lab.\u00a0 This hands-on experience will help with jobs and advances in the medical field. Felipe Carvalho, Senior in BSEE, is currently using the TI board in acquiring and processing the ECG signal. Two students plan to do DIS on this. You are welcome if you are interested.\u00a0 \u00a0\u00a0More information at http:\/\/smartsystems.eng.fau.edu\/biomedical-signal-processing\/<\/a>\u00a0 .<\/p>\n References<\/b>: www.ti.com<\/a>, \u00a0\u201cReal-Time Digital Signal Processing from MATLAB\u00ae to C with the TMS320C6x DSPs,\u201d Second Edition, by Welch, Wright and Morrow; and \u201cBiomedical Digital Signal Processing\u201d by Willis Tompkins.<\/p>\n Number of DIS Students<\/b>: Two. Students may or may not work together.\u00a0 Duration:<\/b> One or two semesters<\/p>\n Topic #4: Robotic Platform for Math Education<\/b><\/p>\n Focus<\/b>: Computer Engineering, Computer Science, and\/or Electrical Engineering<\/b><\/p>\n<\/div>\n Level<\/b>:\u00a0 UG (COT4900, EEL 4905) \/ G (COT 6905, COT 6900, EEL 6905)<\/p>\n Prerequisites<\/b>: \u00a0\u00a0Course on robotics\/mechatronics\/microcontrollers<\/p>\n Description<\/b>: \u00a0Low cost robots have been built in courses at FAU using Arduino boards and open source software. These robots are used in math education at the high school level, where students draw geometric art on a 6\u2019 x 6\u2019 canvas. The student will use modular approaches to build software using a high level (easy-to-use) language for drawing geometric primitives (arcs, lines, and angles), and use them to build more complicated shapes (circles, polygons and fractals). The UI (user interface) on the PC needs to capture raw data on speed, distance, direction, angle, and time – and use them to compute Physics and math variables of interest. Jean Lapaix, Senior in BSEE, is currently using PID algorithms to improve the robot\u2019s precision. More students needed. More information at:\u00a0 http:\/\/robotics.fau.edu\/<\/a> and\u00a0 http:\/\/smartsystems.eng.fau.edu\/precision-robotics\/<\/a> .<\/p>\n