BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CECS - ECPv6.18.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CECS
X-ORIGINAL-URL:https://www.cecs.uci.edu
X-WR-CALDESC:Events for CECS
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20160313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20161106T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20170312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20171105T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20180311T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20181104T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170515T150000
DTEND;TZID=America/Los_Angeles:20170515T160000
DTSTAMP:20231011T190638Z
CREATED:20231011T190638Z
LAST-MODIFIED:20231011T190638Z
UID:14490-1494860400-1494864000@www.cecs.uci.edu
SUMMARY:Millimeter-wave and Sub-THz Signal Generation and Detection in Silicon Technologies
DESCRIPTION:Name: Peyman Nazari\nDate: May 15\, 2017 \nTime: 10:00 AM \nCommittee: Prof. Payam Heydari (Chair). Prof. Michael Green\, Prof. Ahmed Eltawil \nAbstract:  \nMM-wave/sub-Terahertz (THz) signal generation\, radiation\, and detection have become increasingly attractive due to its fast-growing applications in spectroscopy\, radar\, biomedical and security imaging as well as high-speed wireless communication.\n\n\nSilicon technology\, in one hand\, offering high-density signal processing capabilities due to aggressive scaling of its feature size\, and on the other hand\, allowing integration of mm-wave/THz antenna elements owing to their shrunk footprint at these bands\, is well-suited for implementation of fully-integrated multi-antenna mm-wave/THz wireless System-on-Chips (SoC’s).\n\n\nPerformance of such system is dominantly governed by the quality and efficiency of signal generation\, transmission\, and detection. Passive and active components as means of realizing these functionalities must be optimized for operation at these frequency ranges. However\, excessive loss of on-chip passive components and limited gain and output power of transistors at such high frequencies demand novel passive and active structures. Furthermore\, high level of integration implies that the co-design of front-end components leads to a better end-to-end performance\, thus a holistic design methodology must be employed. Radiation characteristics of the wireless signal must also be engineered to improve its transmission quality. For example\, circularly polarized radiation is found to be a viable choice for many imaging and communication applications by exhibiting excellent robustness against de-polarization effects.\n\n\nIn this dissertation\, silicon realization of on-chip waveguides\, as low loss mediums for high-frequency wave propagation\, is explored and implementations of low-loss cavity-backed passives are discussed. Furthermore\, a silicon-integrated IMPATT diode\, together with its fabrication and modeling is introduced as a solution for obtaining active behavior beyond fmax of transistors. Next\, a high-power/efficiency mm-wave circularly-polarized cavity-backed radiator\, employing a multi-port multi-function passive network as a resonator\, power combiner\, and antenna\, is introduced. Necessary conditions for robust operation of such multi-port oscillators/radiators are also derived. Fabricated in a 0.13µm SiGe BiCMOS process\, the prototype chip achieves 14.2dBm EIRP\, -99.3dBc/Hz phase noise at 1MHz offset\, and 5.2% DC-to-EIRP conversion efficiency which is the highest reported value among silicon-based radiators not using silicon lens or substrate processing.\n\n\nFinally\, a 210GHz low noise amplifier (LNA) is presented to address the detection challenges. This LNA\, achieves 18dB of gain\, with less than 12dB noise-figure and 3dB bandwidth of more than 15GHz\, thereby showing best performance metrics among prior work. This is achieved by incorporating circuit and EM techniques enabling simultaneous optimization of stable gain-\, noise- and bandwidth-performance parameters at this frequency range.
URL:https://www.cecs.uci.edu/event/millimeter-wave-and-sub-thz-signal-generation-and-detection-in-silicon-technologies/
LOCATION:CA
CATEGORIES:PhD Defenses
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170526T150000
DTEND;TZID=America/Los_Angeles:20170526T160000
DTSTAMP:20231011T190642Z
CREATED:20231011T190631Z
LAST-MODIFIED:20231011T190642Z
UID:14485-1495810800-1495814400@www.cecs.uci.edu
SUMMARY:Robust Data Hiding in Multimedia for Authentication and Ownership Protection
DESCRIPTION:Name: Farhan A. Alenizi\nDate: May 26th\, 2017 \nTime: 10:00 AM \nLocation: Engineering Hall 3206 \nCommittee: Professor Fadi Kurdahi \nAbstract: \nEstablishing robust and blind data hiding techniques in multimedia is very important for authentication\, ownership protection and security. The multimedia being used may include images\, videos and 3D mesh objects. A hybrid pyramid Discrete-Wavelet-Transform (DWT) Singular-Value-Decomposition (SVD) data hiding scheme for video authentication and ownership protection is proposed. The data being hidden will be in the shape of a main  color logo image watermark and another secondary Black and White (B&W) logo image.   The color watermark will be decomposed to Bit-Slices.   A pyramid transform is performed on the Y-frames of a video stream resulting in error images;  then\, a Discrete Wavelet Transform (DWT) process is implemented using orthonormal filter banks on these  error images\, and the Bit-Slices watermarks are inserted in one or more of the resulting subbands in a way that is fully controlled by the owner; then\, the watermarked video is reconstructed. SVD will be performed on the color watermark Bit-Slices. A secondary B&W watermark will be inserted in the main color watermark using another SVD process.     The reconstruction was perfect without attacks\, while the average Bit-Error-Rates (BER’s) achieved under attacks are in the limits of  2% for the color watermark and 5% for the secondary watermark; meanwhile\,  the mean Peak Signal-to-Noise Ratio (PSNR) is 57 dB. Furthermore\, a selective denoising filter to eliminate the noise in video frames is proposed; and the performance with data hiding is evaluated. \n  \nMoreover\, a 3D mesh blind  optimized watermarking   technique is proposed in this research. The technique relies on  the displacement process of  the vertices locations depending on the modification of the  variances of the vertices’s norms. Statistical analysis were performed to establish the proper distributions that best fit each mesh\, and hence establishing the bins sizes.   Experimental results showed that the approach is robust in terms of both the perceptual  and the quantitative  qualities. \n  \nIn conclusion\,  the degree of robustness and security  of the  proposed techniques are shown. Also the schemes that can be adopted to further enhance the performance\,  and the future work that can be done in the field are introduced. \n 
URL:https://www.cecs.uci.edu/event/robust-data-hiding-in-multimedia-for-authentication-and-ownership-protection/
LOCATION:CA
CATEGORIES:PhD Defenses
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170531T150000
DTEND;TZID=America/Los_Angeles:20170531T160000
DTSTAMP:20231011T190636Z
CREATED:20231011T190636Z
LAST-MODIFIED:20231011T190636Z
UID:14486-1496242800-1496246400@www.cecs.uci.edu
SUMMARY:Quoc-Viet Dang PhD Defense
DESCRIPTION:Name: Quoc-Viet Dang\nDate: May 30\, 2017 \nTime: 02:00 P.M \nLocation: Engineering Hall 3206 \nCommittee: Professor Daniel Gajski (Chair)\, Fadi Kurdahi\, Rainer Doemer \nAbstract: \nPublic education is on the brink of a potential crisis attempting to significantly increase student enrollment while maintaining quality of education. Online courses have been proposed and debated among members of the UC regents\, numerous college administrators\, faculty\, and students. On one hand\, online education can reduce overhead while enrolling more students. Directly translating the classroom lectures and materials to an online environment does not necessarily produce equivalent student performance and satisfaction from the course compared to an in-class environment. Since there is no universal standard for online education\, erratic and inconsistent results have been achieved in terms of student performance and costs to students as well as administration. A hybrid scalable teaching and learning methodology is required by both educators and students to achieve the greatest advantages of using today’s technology and apply it toward improving student performance and participation. \nThis dissertation presents a methodology and system to provide a more individualized and responsive learning environment for students in large hybrid and online university courses while keeping overall costs and time commitment down as well as improve overall student performance. The Universal Personal Advisor\, the implemented learning design tool of this research\, is developed based on multi-disciplinary metrics and studies from the fields of Psychology\, Education\, and Engineering. A primary limiting resource for both students and instructors is time. By automating some basic key interactions that may occur between students and instructors\, hours of each individual’s time can be saved\, maximizing the quality of the available in-person interactions to occur during a course while allowing for a more scalable sized classroom environment.
URL:https://www.cecs.uci.edu/event/quoc-viet-dang-phd-defense/
LOCATION:CA
CATEGORIES:PhD Defenses
END:VEVENT
END:VCALENDAR