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END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191031T080000
DTEND;TZID=America/Los_Angeles:20191031T170000
DTSTAMP:20231031T184503Z
CREATED:20231031T184435Z
LAST-MODIFIED:20231031T184503Z
UID:15721-1572508800-1572541200@www.cecs.uci.edu
SUMMARY:Marco Levorato Won ICS Dean’s Mid-Career Award for Research
DESCRIPTION:Assistant Professor Marco Levorato won ICS Dean’s Mid-Career Award for Research to recognize his innovative research\, exemplar service\, student mentorship and exceptional teaching skills. Congrats Prof. Levorato!
URL:https://www.cecs.uci.edu/event/marco-levorato-won-ics-deans-mid-career-award-for-research/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191031T080000
DTEND;TZID=America/Los_Angeles:20191031T170000
DTSTAMP:20231031T184139Z
CREATED:20231031T184139Z
LAST-MODIFIED:20231031T184139Z
UID:15717-1572508800-1572541200@www.cecs.uci.edu
SUMMARY:Ardalan Amiri Sani Awarded CAREER Award
DESCRIPTION:Assistant Professor Ardalan Amiri Sani was awarded CAREER Award by the National Science Foundation for the research on “Securing Mobile Devices by Hardening their System Software”. Congrats!
URL:https://www.cecs.uci.edu/event/ardalan-amiri-sani-awarded-career-award/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191031T080000
DTEND;TZID=America/Los_Angeles:20191031T170000
DTSTAMP:20231031T184021Z
CREATED:20231031T184021Z
LAST-MODIFIED:20231031T184021Z
UID:15713-1572508800-1572541200@www.cecs.uci.edu
SUMMARY:Nikil Dutt Won ICS Dean’s Award for Research
DESCRIPTION:Professor Nikil Dutt won ICS Dean’s Award for Research to recognize his innovative research. Congrats Prof. Dutt!
URL:https://www.cecs.uci.edu/event/nikil-dutt-won-ics-deans-award-for-research/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191031T080000
DTEND;TZID=America/Los_Angeles:20191031T170000
DTSTAMP:20231031T183836Z
CREATED:20231031T183836Z
LAST-MODIFIED:20231031T183836Z
UID:15709-1572508800-1572541200@www.cecs.uci.edu
SUMMARY:Quoc-Viet Dang Won EECS Professor of the Year
DESCRIPTION:Assistant Professor QV Dang awarded EECS Professor of the Year by UCI Engineering Student Council for his outstanding undergraduate teaching and public services in EECS. Congrats!
URL:https://www.cecs.uci.edu/event/quoc-viet-dang-won-eecs-professor-of-the-year/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191031T080000
DTEND;TZID=America/Los_Angeles:20191031T170000
DTSTAMP:20231031T183645Z
CREATED:20231031T183645Z
LAST-MODIFIED:20231031T183645Z
UID:15705-1572508800-1572541200@www.cecs.uci.edu
SUMMARY:Zhou Li and Chaoyi Lu Reached Best paper Award Finalist at ACM IMC’19
DESCRIPTION:Assistant Professor Zhou Li and Chaoyi Lu reached Best paper Award Finalist at the ACM Internet Measurement Conference 2019 with research paper titled\, “An End-to-End\, Large-Scale Measurement of DNS-over-Encryption: How Far Have We Come?” Congrats!
URL:https://www.cecs.uci.edu/event/zhou-li-and-chaoyi-lu-reached-best-paper-award-finalist-at-acm-imc19/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191031T080000
DTEND;TZID=America/Los_Angeles:20191031T170000
DTSTAMP:20231031T183444Z
CREATED:20231031T183444Z
LAST-MODIFIED:20231031T183444Z
UID:15701-1572508800-1572541200@www.cecs.uci.edu
SUMMARY:Rainer Doemer Awarded Dean’s Honoree for Teaching Excellence
DESCRIPTION:Rainer Doemer awarded Dean’s Honoree for Teaching Excellence by the Office of the Provost and Executive VC to recognize his demonstrated excellence in undergraduate teaching at UCI. Congrats Prof. Doemer!
URL:https://www.cecs.uci.edu/event/rainer-doemer-awarded-deans-honoree-for-teaching-excellence/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191028T150000
DTEND;TZID=America/Los_Angeles:20191028T160000
DTSTAMP:20231011T193349Z
CREATED:20231011T190900Z
LAST-MODIFIED:20231011T193349Z
UID:14569-1572274800-1572278400@www.cecs.uci.edu
SUMMARY:Daniel Gajski and Lukai Cai Win ESWEEK Test of Time Award
DESCRIPTION:Daniel Gajski (Prof. Emeritus) and Lukai Cai (former PhD student\, now at Qualcomm\, San Diego) have been awarded the Embedded Systems Week (ESWEEK) Test of Time Award 2019 for their paper\, “Transaction Level Modeling: An Overview”\, which was originally published at the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) in 2003.\nWith more than 40 years of intensive engagement in industry and academia and considered on of the founding fathers of new design methods with higher reach towards an upwards degree of abstraction\, Daniel Gajski has been a leader in establishing the fields of silicon compilation\, high-level synthesis and system-level design. \nThis award is in recognition of a paper which has defined a new era in embedded computer system design and is now\, 16 years later\, honored because it has passed the test of time. In the year 2000\, Daniel Gajski’s research group created the concept of Transaction Level Modeling by applying the SpecC methodology used in their “Transaction Level Modeling: An Overview”. This paper marks the milestone of a novel taxonomy where communication and computation are separated in the modeling\, validation\, refinement\, exploration and synthesis of embedded computer systems. Today\, these principles in use throughout national and international academia and industry\, proving the substantial impact their work has created. \nProf. Juergen Teich\, who led the award ceremony together with Prof. Petru Eles (General Chair) in New York on October 16\, emphasized\, “For the first year\, ESWEEK is honoring the authors of one paper with highest impact published at a previous CODES+ISSS\, CASES and EMSOFT conference at ESWEEK with a Test-of-Time Award.” \nWe are proud to see Daniel Gajski and Lukai Cai’s paper receiving this exceptional award.
URL:https://www.cecs.uci.edu/event/daniel-gajski-and-lukai-cai-win-esweek-test-of-time-award/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181031T080000
DTEND;TZID=America/Los_Angeles:20181031T170000
DTSTAMP:20231031T183342Z
CREATED:20231031T183328Z
LAST-MODIFIED:20231031T183342Z
UID:15696-1540972800-1541005200@www.cecs.uci.edu
SUMMARY:Mohammad Al Faruque Won IEEE Technical Committee on Cyber-Physical Systems Early Career Award
DESCRIPTION:Mohammad Al Faruque won the IEEE Technical Committee on Cyber-Physical Systems Early Career Award to honor his work over the past eight years in the areas of energy-efficient and security-award design automation methodologies for cyber-physical systems. Congrats Prof. Al Faruque!
URL:https://www.cecs.uci.edu/event/mohammad-al-faruque-won-ieee-technical-committee-on-cyber-physical-systems-early-career-award/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181031T080000
DTEND;TZID=America/Los_Angeles:20181031T170000
DTSTAMP:20231031T183144Z
CREATED:20231031T183144Z
LAST-MODIFIED:20231031T183144Z
UID:15692-1540972800-1541005200@www.cecs.uci.edu
SUMMARY:Delaram Amiri Won First Place at IEEE SOCC 2023 Student Design Contest
DESCRIPTION:Delaram Amiri won first place at the 16th International System on Chip Conference Student Design Contest with poster presentation on “Energy Efficient Edge Computing in Healthcare IoT.” Congrats Amiri!
URL:https://www.cecs.uci.edu/event/delaram-amiri-won-first-place-at-ieee-socc-2023-student-design-contest/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180702T150000
DTEND;TZID=America/Los_Angeles:20180702T160000
DTSTAMP:20231011T190742Z
CREATED:20231011T190742Z
LAST-MODIFIED:20231011T190742Z
UID:14531-1530543600-1530547200@www.cecs.uci.edu
SUMMARY:Kasra Moazzemi receives 2nd place at SIGDA PhD Forum
DESCRIPTION:The Ph.D. Forum at the Design Automation Conference is a poster session co-sponsored by both ACM SIGDA and IEEE CEDA for Ph.D. students to present and discuss their dissertation research with people in the EDA community. It has become one of the premier forums for Ph.D. students in design automation to get feedback on their research and for industry to see academic work in progress: hundreds of people attend the forums. Participation in the forum is competitive with the acceptance rate around 30%.\nKasra Moazzemi is a PhD candidate in CECS and ICS and is advised by Prof. Nikil Dutt. The title of his presentation was “Dynamic Resource Management for Many-core Systems using Supervisory Control.” Congratulations\, Kasra! \nhttps://cecs.uci.edu/files/2018/07/Kasra.pdf\nhttps://cecs.uci.edu/files/2018/07/KasraCrop.pdf\nhttps://cecs.uci.edu/files/2018/07/KasraCrop-1.pdf
URL:https://www.cecs.uci.edu/event/kasra-moazzemi-receives-2nd-place-at-sigda-phd-forum/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171120T150000
DTEND;TZID=America/Los_Angeles:20171120T160000
DTSTAMP:20231011T193349Z
CREATED:20231011T190718Z
LAST-MODIFIED:20231011T193349Z
UID:14509-1511190000-1511193600@www.cecs.uci.edu
SUMMARY:Daniel D. Gajski has been conferred with the EDA-Award 2017 by edacentrum
DESCRIPTION:from: https://m.pressebox.de/boxid/881033\nIn recognition of his outstanding lifetime contributions and achievements in research\, development\, and application in the domain of Electronic Design Automation (EDA)\, edacentrum confers the first edacentrum EDA Contribution Award to Prof. Daniel D. Gajski on November 12th \,2017. \nDaniel D. Gajski is one of the most influential scientists in EDA with more than 40 years of intensive engagement in industry and academia. He developed principles for structured design of electronic systems\, implemented these principles by means of languages and tools\, and proved their wide industrial applicability. \nThe “Y-Chart” is likely one of the most cited illustrations in electronic system design. It structures the design space and locates design states\, processes\, tasks and tools. Wolfgang Nebel\, vice chairman of edacentrum handed out the award… more details
URL:https://www.cecs.uci.edu/event/daniel-d-gajski-has-been-conferred-with-the-eda-award-2017-by-edacentrum/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171114T080000
DTEND;TZID=America/Los_Angeles:20171115T170000
DTSTAMP:20231026T194430Z
CREATED:20191126T204419Z
LAST-MODIFIED:20231026T194430Z
UID:15648-1510646400-1510765200@www.cecs.uci.edu
SUMMARY:Amir Rahmani Won Best Paper Award at MobiHealth 2017
DESCRIPTION:At the 7th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth) between November 14-15\, 2017\, in Vienna\, Austria\, Professor Amir Rahmani won the Best Paper Award with paper “Enhancing the Self-Aware Early Warning Score System through Fuzzified Data Reliability Assessment’. Congrats Prof. Rahmani!
URL:https://www.cecs.uci.edu/event/amir-rahmani-won-best-paper-award-at-mobihealth-2017/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171031T080000
DTEND;TZID=America/Los_Angeles:20171031T170000
DTSTAMP:20231031T185012Z
CREATED:20231031T185012Z
LAST-MODIFIED:20231031T185012Z
UID:15732-1509436800-1509469200@www.cecs.uci.edu
SUMMARY:Mohsen Imani Received Best Paper Nomination at ACM DAC 2019
DESCRIPTION:Assistant Professor Mohsen Imani received Best Paper Nomination at ACM Design Automation Conference 2019 for his research paper titled\, “Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing.” Congrats Prof. Imani!
URL:https://www.cecs.uci.edu/event/mohsen-imani-received-best-paper-nomination-at-acm-dac-2019/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171031T080000
DTEND;TZID=America/Los_Angeles:20171031T170000
DTSTAMP:20231031T182948Z
CREATED:20231031T182948Z
LAST-MODIFIED:20231031T182948Z
UID:15688-1509436800-1509469200@www.cecs.uci.edu
SUMMARY:Quoc-Viet Dang Won Dean’s Honoree for Excellence in Undergraduate Teaching
DESCRIPTION:Assistant Professor Quoc-Viet Dang won Dean’s Honoree for Excellence in Undergraduate Teaching under the Henry Samueli School of Engineering for his excellence in undergraduate teaching and engaging in pedagogical research in the field of e-learning and data analysis. Congrats!
URL:https://www.cecs.uci.edu/event/quoc-viet-dang-won-deans-honoree-for-excellence-in-undergraduate-teaching/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171031T080000
DTEND;TZID=America/Los_Angeles:20171031T170000
DTSTAMP:20231031T182758Z
CREATED:20231031T182758Z
LAST-MODIFIED:20231031T182758Z
UID:15684-1509436800-1509469200@www.cecs.uci.edu
SUMMARY:Mohammad Al Faruque Awarded Distinguished Early-Career Faculty Award for Research
DESCRIPTION:Professor Mohammad Al Faruque was awarded Distinguished Early-Career Faculty Award for Research by UCI Academic Senate for outstanding contributions in his discipline through his research. Congrats!
URL:https://www.cecs.uci.edu/event/mohammad-al-faruque-awarded-distinguished-early-career-faculty-award-for-research/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171031T080000
DTEND;TZID=America/Los_Angeles:20171031T170000
DTSTAMP:20231031T182254Z
CREATED:20231031T182239Z
LAST-MODIFIED:20231031T182254Z
UID:15679-1509436800-1509469200@www.cecs.uci.edu
SUMMARY:Mohammad Al Faruque Won Early Career Faculty Award for Research
DESCRIPTION:Professor Mohammad Al Faruque wont the Early Career Faculty Award for Research for Henry Samueli School of Engineering for his research contributions in the area of embedded systems. Congrats Prof. Al Faruque!
URL:https://www.cecs.uci.edu/event/mohammad-al-faruque-won-early-career-faculty-award-for-research/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171031T080000
DTEND;TZID=America/Los_Angeles:20171031T170000
DTSTAMP:20231031T182037Z
CREATED:20171031T182029Z
LAST-MODIFIED:20231031T182037Z
UID:15675-1509436800-1509469200@www.cecs.uci.edu
SUMMARY:Qi Alfred Chen Receives Rackham Predoctoral Fellowship
DESCRIPTION:Assistant Professor Qi Alfred Chen receives Rackham Predoctoral Fellowship for his security research in smart systems and IoT. Congrats Prof. Chen!
URL:https://www.cecs.uci.edu/event/qi-alfred-chen-receives-rackham-predoctoral-fellowship/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171031T080000
DTEND;TZID=America/Los_Angeles:20171031T170000
DTSTAMP:20231031T181652Z
CREATED:20171031T181644Z
LAST-MODIFIED:20231031T181652Z
UID:15671-1509436800-1509469200@www.cecs.uci.edu
SUMMARY:Daniel Gajski Won EDA Contribution Award
DESCRIPTION:Professor Daniel Gajski won the EDA Contribution Award for his outstanding lifetime contributions and achievements in research\, development and application of electronic design automation (EDA). Congrats Prof. Gajski!
URL:https://www.cecs.uci.edu/event/daniel-gajski-won-eda-contribution-award/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171031T080000
DTEND;TZID=America/Los_Angeles:20171031T170000
DTSTAMP:20231031T181744Z
CREATED:20171031T181412Z
LAST-MODIFIED:20231031T181744Z
UID:15667-1509436800-1509469200@www.cecs.uci.edu
SUMMARY:Nikil Dutt Won CS @ Illinois 2017 Distinguished Educator Award
DESCRIPTION:Professor Nikil Dutt won CS @ Illinois 2017 Distinguished Educator Award. Prof. Dutt was recognize for his contributions to embedded systems and architecture research\, his mentoring of many successful Ph.D. advisees (who themselves have won many awards)\, as well as his teaching. Congrats Prof. Dutt!
URL:https://www.cecs.uci.edu/event/nikil-dutt-won-cs-illinois-2017-distinguished-educator-award/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20171031T080000
DTEND;TZID=America/Los_Angeles:20171031T170000
DTSTAMP:20231031T181722Z
CREATED:20171031T181124Z
LAST-MODIFIED:20231031T181722Z
UID:15663-1509436800-1509469200@www.cecs.uci.edu
SUMMARY:Tony Givargis Receives ICS Dean's Award
DESCRIPTION:Professor of Computer Science Tony Givargis won ICS Dean’s Award for Donald Bren School of ICS for his service as the former ICS Associate Dean for Student Affairs. Congrats Prof. Givargis!
URL:https://www.cecs.uci.edu/event/tony-givargis-receives-ics-deans-award/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170910T080000
DTEND;TZID=America/Los_Angeles:20170912T170000
DTSTAMP:20231031T180803Z
CREATED:20171031T180614Z
LAST-MODIFIED:20231031T180803Z
UID:15659-1505030400-1505235600@www.cecs.uci.edu
SUMMARY:QV Dang Won Best Paper Award for Computer-Based Education\, ICEBT 2017
DESCRIPTION:Assistant Professor Quoc-Viet Dang won the Best Paper Award for the 2017 International Conference on E-Education\, E-Business and E-Technology with paper “Utilizing Latent Semantic Analysis to Provide Automated Educational Support.” Congrats QV!
URL:https://www.cecs.uci.edu/event/qv-dang-won-best-paper-award-for-computer-based-education-icebt-2017/
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20161107T150000
DTEND;TZID=America/Los_Angeles:20161107T160000
DTSTAMP:20231011T190615Z
CREATED:20231011T190615Z
LAST-MODIFIED:20231011T190615Z
UID:14470-1478530800-1478534400@www.cecs.uci.edu
SUMMARY:Prof. Mohammad A. Al Faruque receives Thomas Edison Patent Award 2016
DESCRIPTION:The Edison Patent Awards at Liberty Science Center in Jersey City. 11/3/16 Photo by John O’Boyle \nEach year the Research & Development Council of New Jersey honors the winners of the Thomas Edison Patent Awards at its annual Edison Patent Awards Ceremony & Reception in the IMAX Theater of the Liberty Science Center. Professor Al Faruque was selected as the recipient for this prestigious award for his patent in energy management in Electric Vehicle (EV) charging stations. \nThe patent\, “Network as automation platform for collaborative E-car charging at the residential premises” has provided a novel solution to solve this challenge through a  collaborative energy management strategy for the Electric Vehicle (EV) charging stations located in a residential neighborhood. The amount of energy that can be provided to the EVs connected to a single  neighboring step down transformer is limited by the connected circuit breaker at a certain point of time.  This energy management strategy will collaborate among all the EVs\, maximize the number of charged EVs and preferably reduce the local energy peaks  to the medium and low voltage electric infrastructure. \n 
URL:https://www.cecs.uci.edu/event/prof-mohammad-a-al-faruque-receives-thomas-edison-patent-award-2016/
CATEGORIES:Awards
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2023/10/AlFaruqueEdisonAwards-129-ZY2dba.tmp_.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20130220T150000
DTEND;TZID=America/Los_Angeles:20130220T160000
DTSTAMP:20231011T193347Z
CREATED:20231011T190319Z
LAST-MODIFIED:20231011T193347Z
UID:14394-1361372400-1361376000@www.cecs.uci.edu
SUMMARY:An Online Methodology For Individualized Education
DESCRIPTION:by Daniel D. Gajski\, Quoc-Viet Dang\, and WenLiang He \nIntroduction\nOnline courses\, the latest hot topic in education\, have been debated by various sources\, including Governor Jerry Brown\, the UC regents\, and numerous college administrators\, faculty\, and students. The motivation behind such discussion is varied. Administrators see offering online courses as a way to increase the number of students despite the shortage of large lecture halls\, while generating some financial savings. Faculty and students are more skeptical\, fearing they will miss the face to face student-lecturer interaction in and out of the classroom. Of course\, with some traditional in-class courses\, having hundreds of students with varying backgrounds and motivation\, the student-lecturer interaction has already been severely diminished from smaller classroom sizes\, which are no longer feasible due to the shrinking educational budget. Since there is no standard in online education\, it has produced erratic results in terms of student performance and costs to students as well as administration. \nHowever\, online tools\, if managed and prepared for properly\, have the opportunity to provide the highly regarded individualized learning experience of the small classroom with the lower costs of large lecture halls while decreasing overall overhead costs. In fact\, the tools used for online courses can be utilized to improve the existing traditional classroom dynamic. Students are trained from high school to prepare for testing by memorizing as many facts and examples as possible in order to answer each question. On the other hand\, college professors tend to follow a top-down approach in teaching where they cover concepts\, some math or algorithms\, and methods or processes of finding proper solutions. These processes\, especially in Engineering\, must be understood and not just memorized because they have many steps involved: specification\, analysis\, design and synthesis\, optimization\, verification\, implementation\, and testing. In a small college classroom of 20-30 students\, lecturers can help students who fall behind individually by expending their out-of-class time. In a larger class of 150 students or more\, the small classroom teaching style doesn’t work as well since the time commitment for both the lecturer and students are dramatically increased for the same duration of time. \nThe tools and methodology presented in this article aid in providing the small classroom experience in a much larger setting while keeping overall costs and time commitment down. Such tools and methodology can be applied to any learning environment\, not just online\, to better prepare students for learning concepts and solving problems. It must cover \n(a)   Lectures \n(b)   Sample problems with solutions \n(c)   Questions and answers \n(d)   Homework \n(e)   Tests \nImproving a Typical In-Class Environment\nWe will compare the typical teaching methodology for a large classroom with a modified methodology that utilizes online tools to provide a richer learning environment for students. Our initial research compares two groups of students (Group A & Group B) taking a Digital Logic Design Engineering course during two separate quarters. Online course material consisted of custom content developed specifically for this Digital Design course as well as existing UCI tools through EEE (Electronic Educational Environment). We compare the students across 3 exams: \nExam 1: Both groups are taught based on a typical teaching methodology (overviewed below). Online lecture videos are available but no special emphasis is given to them. All material is covered in lecture and/or discussion sections. This exam is used to normalize the results for the following two exams. \nExam 2: Group A continues to be taught using the typical teaching methodology. Group B is presented with a typical Online course methodology. All lectures & samples are to be reviewed online via online videos. In-class lecture & discussion sections are now treated like online meetings; the professor and teaching assistants only cover questions asked and do not repeat any lectures. \nExam 3: Group A continues to be taught the typical teaching methodology. Group B is presented with a hybrid methodology based on in-class and online processes. A general lecture is given per topic each classroom session. Students are expected to review specific details and caveats that are covered by online videos & submit questions before the next classroom session. In the following lecture or discussion\, specific questions are answered that are submitted by students\, similar to an online course web meeting. \nA Typical In-Class Learning Environment\nThe in-class teaching environment was originally developed for small classes (20-40 students). However\, enrollment in many college courses has grown to over 100 students per class. Lectures for a couple hundred students in a large lecture hall for 1-2 hours are very difficult because \n(a)   schedulers have problems with room sizes and cannot schedule too many short lectures or discussions. \n(b)   a single presentation needs to cater to the varying skill levels and knowledge of all 100-200 students. \n(c)   many students are not prepared and have no questions\, exacerbating the above situations. Much of the information the students need is presented once in a lecture and/or discussion. If they miss the lecture or get lost on a concept taught\, they fall further and further behind as the class progresses. \nTherefore\, the presentation is general and not helpful to many students with weak backgrounds or insufficient skills while leaving other students bored and non-attentive. To help alleviate some of these issues\, sample problems can be covered in discussion sections with fewer students\, but the above situation still applies\, just on a smaller scale. Weekly homework is assigned to keep students on track; however\, due to learning habits from students’ past educational experiences\, assignments are generally completed to gain points rather than understanding the concept from the material. \nIn the typical in-class environment with ever increasing classroom size and varying student skill levels\, most of the lecture and discussion time available is used to cover examples\, go over homework solutions\, and prepare for testing. There is simply not enough time available to individualize the learning experience for many students with the current teaching methodology. \n  \nFigure A: A Typical In-Class Methodology Work Flow. \n  \nIn the figure above\, a typical in-class methodology is presented. Students are given a 1-2 hour lecture\, which may cover several concepts. During this time\, general questions are covered. Follow-up questions are not typically asked since students need to think about the material\, read more references\, or do some homework before they have additional questions. When they attempt the homework\, they may have initial questions. These are answered during the discussion section\, along with some follow-up questions from the lecture. This method is not efficient since it moves at the rate of the slowest students and much of the time is spent answering general questions since follow-up questions require additional review of the material. \nAdding an Online Methodology\nIn order to have more advanced discussion and cover concepts that help struggling students as well as advanced students in a large class\, the “what\, where\, when\, and how” of information to be presented and consumed must be improved upon. First\, we will address general lectures and sample problems. Traditionally\, they are presented in class\, leading to the problems described previously. By using online tools to “flip the classroom\,” a popular concept that has been around for years but is much better realized with the easy accessibility of the Internet\, we can cater to a much wider audience and more efficiently use our time in the classroom. Flipping the classroom involves moving most of the general lecture material from in-class to at-home. Students now review the general lectures and examples at home in between lectures while lectures are used to answer student questions and provide a more interactive and dynamic learning environment. \nLectures can be succinct and split into individual modules or concepts instead of a weekly 1-2 hour lecture session which usually covers several topics. Students can review the material multiple times\, refer to references at their own pace\, and discuss with classmates\, teaching assistants\, and the professor regarding the material presented. Classroom time can now be utilized for more advanced discussion and better targeted toward student skill levels based on the content they discuss through available online tools\, such as the course mailing lists and message boards. \nFigure B: A Typical Online Methodology Work Flow \n  \nIn the Online methodology work flow\, students begin by reviewing 15-20 minute lecture and/or example modules. Any initial questions regarding the lecture\, example\, or homework can typically be answered by reviewing the module again in more detail\, which is not typically possible with a traditional in-class environment. If there are follow-up questions\, they can be answered using online tools\, such as message boards or mailing lists. \nThe turn-around time per concept is much quicker than a typical in-class work flow and can happen multiple times throughout any given week. An in-class or streaming lecture and discussion can still take place; however\, note that the majority of questions asked now are follow-up questions\, which allows for more efficient use of interaction time and discussion of more advanced topics. The overall amount of time spent in this work flow is similar to the in-class work flow since lectures and discussions can be decreased in favor of using online tools and modules to cover the general concepts. Students can also work at their own pace\, allowing for a more individualized experience. \nPreliminary Results\nThe initial results are encouraging. We compared Group A & Group B as a whole\, as well as in 3 separate groups based on performance (top third\, middle third\, and bottom third). \nAs stated earlier\, we will be using Exam 1 as the normalization factor. Students in Group A & Group B received the same typical in-class teaching methodology for material leading up to Exam 1. On average\, students from Group B score between 4-8% lower than students in Group A. All other factors being equal\, we expect this performance to stay in that range. Since we change the teaching and learning methodology for Exam 2 & 3\, we expect some changes in performance as well. \nFor the material covered in Exam 2\, a typical online methodology was used\, which just moved lectures from in-class to online videos. This can help address in-class problems like scheduling of large lecture halls\, being able to present to students of varying skill levels by allowing them to choose the appropriate videos\, and keep overhead costs down in a general sense. There is a minor improvement in allowing the lecturer to reach out to students of different skill levels through the videos and online message boards; much of this effectiveness depends on the students’ willingness to and frequency of which they use the technology. Since some material is offloaded outside the classroom\, there is more time to spend on individual student questions during the classroom session. Similar to the video and online message board issue\, this also depends on the students’ motivation to take advantage of these opportunities. \nAs a whole\, students in Group B showed a marginal improvement over students in Group A (1.37%). When split into three separate groups based on performance\, the top third of students in Group B outperformed the top third of students in Group A by approximately 4.55% after normalization is considered\, the middle third of Group B did 1.27% better\, and the bottom third did 1.57% worse than Group A. \nIn an attempt to bring learning to a more individual level using online tools\, Group B students were taught using an online hybrid methodology that goes beyond the typical in-class or online methodologies for Exam 3. Students in Group A continued to receive a traditional in-class teaching educational environment. \nIn the hybrid methodology\, we combine the advantages of in-class and online environments. The classroom is still “flipped\,” where much of the learning is done outside of the classroom through online videos\, mailing lists\, and discussion on message boards in between scheduled class sessions. However\, we help guide students with introductory lectures and answer general questions during an early classroom session. Since a significant portion of the material is covered outside of the classroom\, there is more time for individualized help and advanced discussion in the classroom itself. From there\, students are required to go through online lecture and sample videos. Finally\, they must take notes and submit questions on concepts they wish to be discussed in following lectures. \nUsing this method\, students in Group B performed significantly better than students in Group A as a whole and as smaller groups. After the normalization factor\, Group B averaged 7.44% higher on the exam\, with the top third performing 6.24% better in Group B\, middle third 7.14% better\, and bottom third 9.18% better than Group A. \nTable 1: Group A vs Group B \n  \nStudent Feedback\nStudent feedback regarding the traditional\, online\, and hybrid methodologies have shown that online videos and tools are aiding in improving their overall performance. \nFirst\, we review how students ranked each format of instruction in terms of helpfulness in understanding the course content in Table 2. \nTable 2: Helpfulness of Different Formats of Instruction for Students in Group B \n  \nIn general\, online lecture and TA example videos are preferred to in-class lectures and examples. Reading the textbook is the least preferred of the 5 learning formats. As mentioned earlier\, lectures were not formatted as traditional lectures\, but were handled similar to Q&A type sessions; therefore\, the basic knowledge required for the class is presented in the videos. More time is spent discussing deeper concepts in-class\, which was more useful to students who were studying more often or participating more often in-class. TA examples were more popular than concept lectures since they are given similar homework problems and solutions to review. \nNext\, we look at how students are spending their time studying outside of the classroom in Table 3. \nTable 3: Study Habits of Students in Group B after Class \n  \nAgain\, students in our Digital Design Logic course preferred watching online lecture and TA example videos over reading textbooks. The videos were able to better target varying skill levels of students and could be updated throughout or between the quarters. Since students receive a general overview and more detailed example in short concise videos\, they can more efficiently prepare for the next lecture or homework as well as discuss problems rather than reading long chapters in a textbook. \nLastly\, we review how much time is actually spent studying for this course compared to other courses in Table 4. \nTable 4: Study Frequency of Students in Group B Outside of Class \n  \nConsidering 3-4 classes is a typical full-time course load\, students are studying more for this course than any other single course in their curriculum. This is due to the more rigorous studying methodology required for the Digital Design course including studying online videos\, completing homework based on the videos\, and submitting questions for lectures based on each set of online lecture and example videos. However\, they are still studying well under the 40 hours total that is typical of a full-time course load. A typical course requires about 10 hours per week of total studying; with more students studying in the 6-10 hour range\, we would expect the performance of the students to be even higher. \nConclusion\nThis modest sampling of using online teaching methods to improve an existing large in-class environment has been shown to be effective. Overall\, students have varying amounts of motivation to ensure they do well and get the most out of their learning experience. Initial feedback suggests that the online videos are well received once they are presented with our hybrid teaching methodology. By using online tools\, making small changes to how in-class sessions are utilized\, and adjusting how students learn inside and outside the classroom\, student performance can be increased without impacting factors such as cost and quality of education. In fact\, by utilizing new technology and spending time to find effective means of conveying concepts and materials like that of the hybrid online methodology we can provide a more individualized experience for larger student classes in this time of increased enrollment\,  with a small increase in the number of TAs\, and some initial online investment.
URL:https://www.cecs.uci.edu/event/an-online-methodology-for-individualized-education/
CATEGORIES:Awards
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20100819T150000
DTEND;TZID=America/Los_Angeles:20100819T160000
DTSTAMP:20231011T193551Z
CREATED:20231011T184837Z
LAST-MODIFIED:20231011T193551Z
UID:14352-1282230000-1282233600@www.cecs.uci.edu
SUMMARY:NSF Funds Expedition into Software for Efficient Computing in the Age of Nanoscale Devices
DESCRIPTION:NSF Funds Expedition into Software for Efficient Computing in the Age of Nanoscale Devices\n\nAugust 19 \, 2010\n\nAdapted from NSF Press Release:\nUC Irvine\, along with five other universities\, has received a $10 million National Science Foundation (NSF) Expeditions in Computing grant to develop robust software for computing with unreliable\, but energy-efficient nanoscale computer components. The Irvine team is led by Chancellor’s Professor Nikil Dutt and Professor Alex Nicolau\, computer scientists in the Donald Bren School of Information and Computer Sciences. \n\n\n\n\n\nProfessor Nikil Dutt\n\n\n\nProfessor Alex Nicolau\n\n\n\n\nThe two are also affiliated with the Center for Embedded Computer Systems (CECS) and the Irvine division of the California Institute for Telecommunications and Information Technology (Calit2). The NSF Expeditions in Computing program established by NSF’s Directorate for Computer and Information Science and Engineering (CISE) rewards far-reaching agendas that “promise significant advances in the computing frontier and great benefit to society.” The grants represent some of the largest single investments currently made by the directorate and the NSF. \n\n\n\n\n\n\n\n\nMillimeter Chip: Sensor processing chips like the smallest solar-powered sensor system\, developed in the lab of Variability co-PI Dennis Sylvester at the University of Michigan\, is an example of the trend to millimeter-scale devices with nano-scale parts that perform more variably than traditional computer components.\n\n\n\nThe five-year grant seeks approaches for developing software applications that are resilient to variabilities emerging from underlying hardware that is becoming increasingly error-prone. Indeed\, as semiconductor manufacturers build ever smaller components\, the resulting hardware platforms (including circuits and chips) become less reliable and more expensive to produce\, thanks to the variability resulting from manufacturing\, aging-related wear-out\, and varying operating environments. Furthermore\, efforts to save energy and operate systems at lower power margins also exacerbate variability through increased hardware errors. Such variabilities are not addressed by today’s mainstream computer and embedded systems which instead require that hardware satisfy unnecessarily stringent requirements and/or use more power than needed. Even with such requirements\, existing hardware still occasionally suffer machine crashes which are at best a nuisance and at worst can have catastrophic consequences (e.g.\, a reboot of an on-board computer that may have been involved in a recent plane-crash). These ill-effects of hardware variability can be remedied with the help of a new generation of software – which the UCI group proposed to investigate through this expedition effort. \n\n\n\n\n\n\n\n\nVariability JPEGs : In the UCLA lab of Variability co-PI Puneet Gupta\, JPEG compression of the same image done with variability-aware software (at right) produced the same result in quality — but using more than 40% less power.\n\n\n\nThe research team seeks to develop computing systems (integrated hardware-software packages) that will be able to sense the nature and extent of variations in their hardware circuits\, and expose these variations to software\, i.e.\, compilers\, operating systems\, and applications\, so as to drive adaptations in the software to overcome the variability present. “A major goal of this project is to break down the rigid interfaces between software and hardware\, so that software can proactively address variability in the underlying hardware\,” said Dutt. “The ability of software to detect\, monitor\, adapt and predict variations in the underlying hardware will be critical to the success of this project\, and our team at Irvine will investigate compile-time and run-time software strategies for overcoming hardware variations” added Nicolau. \nThe multi-university center will be led by Professor Rajesh Gupta at the University of California\, San Diego\, and includes besides UCI\, the University of California\, Los Angeles; the University of Illinois at Urbana-Champaign; the University of Michigan; and Stanford University. “The proposed research spans a number of areas of computing – software\, hardware\, and computer-aided design. Bren School participation recognizes the excellence of our faculty and our tradition of research collaborations across the wide spectrum of modern computing\,’’ said Hal Stern\, Ted and Janice Smith Family Foundation Dean of the Donald Bren School of Information and Computer Sciences. \n\n\n\n\n\n\n\n\nFirst Responders Calit2: Spending 40% less energy on handheld platforms thanks to variability-aware software would be a real boon to medical first responders sharing situational awareness in the field (pictured here on the UC San Diego campus during a county-wide disaster drill at Calit2\, home base for the Variability Expedition).\n\n\n\nVariability-aware computing systems would benefit the entire spectrum of embedded\, mobile\, desktop and server-class applications by dramatically reducing hardware design and test costs for computing systems\, while enhancing their performance and energy efficiency. Many in-demand applications – from search engines to medical imaging – would also benefit\, but the project’s initial focus will be on wireless sensing\, software radio and mobile platforms of all kinds – with plans to transfer advances in these early areas to the marketplace. “The research will provide significant societal benefits\, including advances in server-class computing to benefit science itself\, and improved energy efficiency of buildings\, smart grids and transportation\, among other application domains\,” added Dutt. “Energy efficiency has become\, over the last few years\, one of the most critical goals for many industries\, especially computing. As such\, the advances promised by this expeditions project cannot be overstated. The success of this effort promises to revolutionize the computing industry\, with implications that stretch far beyond computing itself\, ” said Sandy Irani\, chair of the computer science department. \n\n\n\n\n\n\n\n\nGreenLight Instrument: Variability Expedition principal investigator Rajesh Gupta in front of the GreenLight Instrument — a modular data center at UC San Diego equipped to gauge the energy efficiency of computing systems like the ones to be developed under the new Expeditions in Computing project.\n\n\n\nTo ensure that the project reflects real-world challenges in the computing industry\, organizers have recruited a high-powered Technical Advisory Board that initially includes top industry executives from HP\, ARM\, IBM and Intel. “The Center for Embedded Computing systems (CECS)\, as the oldest such center in the nation\, has a long history of working with key industrial players such as IBM\, Intel\, HP\, etc. in developing new technologies that significantly impact and are directly applicable in the high-tech industry. The Variability Expedition project follows in this tradition and is likely to significantly improve the ability of industries to develop energy efficient and highly resilient software and hardware platforms for a diverse range of applications\,” said Dan Gajski\, CECS director. \nMore details about the project are available at http://www.variability.org.
URL:https://www.cecs.uci.edu/event/nsf-funds-expedition-into-software-for-efficient-computing-in-the-age-of-nanoscale-devices/
CATEGORIES:Awards
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DTSTART;TZID=America/Los_Angeles:20100720T150000
DTEND;TZID=America/Los_Angeles:20100720T160000
DTSTAMP:20231011T193349Z
CREATED:20231011T185036Z
LAST-MODIFIED:20231011T193349Z
UID:14353-1279638000-1279641600@www.cecs.uci.edu
SUMMARY:Microsoft Ranking places CECS 6th in the World
DESCRIPTION:Microsoft Ranking Places CECS 6th in the World\nJuly 20\, 2010\n\nThe recently published Academic Research Ranking by Microsoft Corp (http://academic.research.microsoft.com/) ranks 20 Computer Science topics from Algorithms and Theory to the World Wide Web including 2.4 million publications. In the specific topic titled Hardware and Architecture\, which is particularly pertinent to the UCI Center for Embedded Computer Systems (CECS)\, it ranks over one-hundred thousand researchers world wide. CECS is very highly ranked by sharing 6th place with MIT\, UCLA\, Princeton and UIUC with 4 faculty in the top 100. First on the list is UCB with 10 in 100\, followed by Stanford with 9\, Michigan with 7 and UCSD and CMU with 5 faculty members in the top 100. \nThis faculty ranking affirms CECS reputation as one of the leading centers for embedded systems research and technology. \n“I heartily extend my congratulations to the Center for Embedded Computer Systems faculty\, students and staff.  It is an honor for the Samueli School faculty to be listed among the world’s top faculty in the field of computer hardware and architecture\,” said Rafael L. Bras\, distinguished professor and dean of The Henry Samueli School of Engineering. \nProf. Gajski\, the CECS Director\, said that he is very happy that the research of CECS faculty has been recognized and appreciated around the world. He is also hoping that such recognition will help improve the ranking of our schools\, the School of ICS and the School of Engineering\, as well as improving the standing of UCI in the ranking of world universities (http://www.arwu.org/).
URL:https://www.cecs.uci.edu/event/microsoft-ranking-places-cecs-6th-in-the-world/
CATEGORIES:Awards
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DTSTART;TZID=America/Los_Angeles:20100110T150000
DTEND;TZID=America/Los_Angeles:20100110T160000
DTSTAMP:20231011T193349Z
CREATED:20231011T185036Z
LAST-MODIFIED:20231011T193349Z
UID:14354-1263135600-1263139200@www.cecs.uci.edu
SUMMARY:EDAA Lifetime Achievement Award 2010 goes to Daniel D. Gajski
DESCRIPTION:EDAA Lifetime Achievement Award 2010 goes to Daniel D. Gajski\n\nJanuary 10\, 2010\n\nAdapted from EDAA Press Release:\nThe EDAA Lifetime Achievement Award 2010 goes to Daniel D. Gajski. \nThe Lifetime Achievement Award is given to individuals who made outstanding contributions to the state of the art in electronic design\, automation and testing of electronic systems in their life. In order to be eligible\, candidates must have made innovative contributions which had an impact on the way electronic systems are being designed. \nUCI Vice Chancellor for Research Susan Bryant congratulates Professor Gajski for this outstanding achievement: “His establishment and leadership of the Center for Embedded Computer Systems as a campus Organized Research Unit reflects the world-class research being undertaken at UCI.  We look forward to the continued success and world-wide recognition of Dr. Gajski and the Center for Embedded Computer Systems.“ \nPast recipients have been Kurt Antreich (2003)\, Hugo De Man (2004)\, Jochen Jess (2005)\, Robert Brayton (2006)\, Tom W. Williams (2007)\, Ernest S. Kuh (2008) and Jan M. Rabaey (2009). The Award will be presented at the plenary session of the 2010 DATE Conference\, to be held 8-12 March in Dresden\, Germany. \nDaniel D. Gajski received the Dipl. Ing. and M.S. degrees in Electrical Engineering from the University of Zagreb\, Croatia\, and the Ph.D. degree in Computer and Information Sciences from the University of Pennsylvania\, Philadelphia\, in 1974. After 10 years of industrial experience in digital circuits\, supercomputing\, and VLSI design\, he spent 10 years in academia with the Department of Computer Science at the University of Illinois\, Urbana-Champaign. Presently\, he is a Full Professor in the Department of Electrical Engineering and Computer Science at the University of California\, Irvine. He holds the Henry Samueli Endowed Chair in Computer System Design and is the Director of the Center for Embedded Computer Systems at UCI. \nDaniel Gajski has made many fundamental contributions to areas spanning from electronic design automation to embedded systems. He is considered among the founding fathers of the push in electronic design methods towards higher levels of abstractions and their relationship to system architectures and has been a leader in establishing the fields of Silicon Compilation\, High-Level Synthesis\, and System-Level Design. \nDaniel Gajski has published over 250 journal and conference papers\, has edited\, authored and co-authored a total of seven books and numerous book chapters\, and has received several best-paper awards and nominations. He has been named an IEEE Fellow for contributions to VLSI design\, system-level design methodologies and CAD tools and also has been presented with an honorary doctorate from the University of Oldenburg\, Germany\, in 2006 in recognition of his contributions in the areas of embedded systems and design science. \nMore information and electronic version of this Press Release available at: http://www.edaa.com/
URL:https://www.cecs.uci.edu/event/edaa-lifetime-achievement-award-2010-goes-to-daniel-d-gajski-2/
CATEGORIES:Awards
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DTSTART;TZID=America/Los_Angeles:20071003T000000
DTEND;TZID=America/Los_Angeles:20071003T000000
DTSTAMP:20231011T180103Z
CREATED:20231011T180103Z
LAST-MODIFIED:20231011T180103Z
UID:14195-1191369600-1191369600@www.cecs.uci.edu
SUMMARY:Gabor Madl wins prestigious ACM Award
DESCRIPTION:Gabor Madl\, a CECS graduate student pursuing a PhD in Computer Science\, received the 2008 ACM SIGBED/SIGSOFT Frank Anger Memorial Award at the 2007 Embedded Systems Week Conference held in Salzburg\, Austria. This award recognizes one student researcher from each of the professional societies (ACM SIGBED and ACM SIGSOFT)\, promoting the crossover of ideas between the embedded software and software engineering research communities. Gabor’s research focuses on applying formal methods to enable analysis and evaluation of embedded computer systems\, and is a member of Professor Nikil Dutt’s research group.\nA photograph of Gabor receiving his award can be viewed at: http://cs.uni-salzburg.at/ 
URL:https://www.cecs.uci.edu/event/gabor-madl-wins-prestigious-acm-award/
CATEGORIES:Awards
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DTSTART;TZID=America/Los_Angeles:20070601T230000
DTEND;TZID=America/Los_Angeles:20070601T230000
DTSTAMP:20231011T180103Z
CREATED:20231011T180103Z
LAST-MODIFIED:20231011T180103Z
UID:14196-1180738800-1180738800@www.cecs.uci.edu
SUMMARY:Jelena and Gajski Receive IESS Best Paper Award
DESCRIPTION:Jelena Trajkovic\, a PhD candidate in computer science\, and Professor Daniel D Gajski\, received best paper award at the second International Embedded System Symposium that took place in Irvine\, California from May 30th to June 1st 2007. Their paper is titled “Automatic Data Path Generation from C Code for Custom Processors.” The paper was selected from over 60 submissions on the basis of technical quality and presentation. The authors of the best paper received an Altera Nios II Embedded Development Kit.\nAutomatic generation of architectures from C code is a fundamentally novel way of addressing the problem of system design. In traditional design methods\, architecture is assumed as fixed for implementing an application. Compilers must then figure out the best mapping of the application on the given architecture. This method may result in poor performance because the given architecture may not carry the best features to execute the application code. Moreover\, the architecture may carry features that are never used by the application\, resulting in wasted power and area. Architecture generation from C code attempts to solve this problem by automatically creating an architecture that “matches” the C code. \nIn their paper\, Jelena and Prof. Gajski present first results for the generation of matching architecture from C code. They address the selection of function units to meet performance goals while maximizing architecture utilization. Their experimental results demonstrate that the architecture could be generated for large C code\, including an MP3 decoder with over 14K lines of code\, under an hour. The optimizations improved architecture utilization by 30 to 60 percent while meeting performance constraints. \nCECS congratulates the researchers on their achievement and wishes them success in their future endeavors.
URL:https://www.cecs.uci.edu/event/jelena-and-gajski-receive-iess-best-paper-award/
CATEGORIES:Awards
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DTSTART;TZID=America/Los_Angeles:20070528T210000
DTEND;TZID=America/Los_Angeles:20070528T210000
DTSTAMP:20231011T180118Z
CREATED:20231011T180118Z
LAST-MODIFIED:20231011T180118Z
UID:14198-1180386000-1180386000@www.cecs.uci.edu
SUMMARY:Payam Heydari Wins Guillemin-Cauer
DESCRIPTION:Payam Heydari\, associate professor of electrical engineering and computer science\, and a Calit2 academic affiliate at UC Irvine\, has won this year’s prestigious Guillemin- Cauer Award from the IEEE Circuits and Systems Society. Heydari is also the recipient of the 2005 IEEE Circuits and Systems Society Darlington Award\, which puts him in an elite group of only seven researchers who\, in the 40-year history of the awards\, have received both.\nHeydari was recognized for his paper “Model-Order Reduction Using Variational Balanced Truncation with Spectral Shaping\,” which was published in the IEEE Transactions on Circuits and Systems\, Vol. 53\, April 2006. \nThe latest integrated circuit technology – geared to the nanoscale – continues to create new possibilities for designers to substantially reduce chip size and increase speed. The technology\, however\, also presents challenges\, most notably to the yield and reliability of the circuits and on-chip wires. \nIt is essential to capture statistical fluctuations caused by process variations\, but testing such complicated systems can require days of computer simulation. Heydari’s approach dramatically reduces the time needed for this statistical modeling from days to just minutes. It significantly reduces the order of the original system while retaining important circuit characteristics\, such as frequency and timedomain. Most notably\, this technique accounts for statistical variation due to changes in process. \nIn addition\, Heydari’s approach provides a proven boundary for error between the reduced order model and the original system. The work has since been the foundation for several key papers published by other researchers on the same topic. \nThe Guillemin-Cauer Award recognizes the best journal paper published in IEEE Transactions on Circuits and Systems during the two calendar years preceding the award. The award is based on general quality\, originality\, contributions\, subject matter and timeliness.
URL:https://www.cecs.uci.edu/event/payam-heydari-wins-guillemin-cauer/
CATEGORIES:Awards
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20070501T220000
DTEND;TZID=America/Los_Angeles:20070501T220000
DTSTAMP:20231011T180103Z
CREATED:20231011T180103Z
LAST-MODIFIED:20231011T180103Z
UID:14197-1178056800-1178056800@www.cecs.uci.edu
SUMMARY:Bita Gorjiara Takes Hami and Best Paper Award
DESCRIPTION:Bita Gorjiara has won the prestigious Hami Award of Excellence in Engineering Education for the year 2007. Sponsored by the Fanni Reunion Foundation\, the Hami award recognizes outstanding M.Sc. and Ph.D. graduates with a previous degree from University of Tehran. Each year\, Hami award is given to one or two students with excellent academic record in terms of GPA\, number of publications\, and overall contribution in their field of study. Bita has also received the Best Student Paper Award for her journal paper\, “Ultra-Fast and Efficient Algorithm for Energy Optimization by Gradient-based Stochastic Voltage and Task Scheduling\,” which has also been accepted for publication in ACM Transactions on Design Automation of Electronic Systems (TODAES).\nThis paper award is an honor given by the EECS department for first-time authors. In her paper\, co-authored by Professor Bagherzadeh and Professor Chou\, Bita proposes an ultra-fast and voltage scheduling algorithm called Adaptive Stocahstic Gradient Voltage-and-Task Scheduling (ASG-VTS) that is used for power optimization of designs with voltage islands. This unique technique was shows to surpass the energy savings of previously published results while reducing number of voltage transitions. Compared to an optimal ILP algorithm\, her technique converges 1000 times faster while generating results as good as the optimal solution. She has also developed a web-based tool for her algorithm that allows researchers to capture the model of their system and run ASG-VTS. Research groups use Bita’s tool for evaluating new algorithms\, and some universities have used as part of their course curriculum. \nCurrently\, and for the past three years\, Bita has been working on No-Instruction-Set Computer (NISC) project under supervision of Prof. Gajski. She has developed an Architecture Description Language (ADL) for NISC called GNR that is used for automatic generation of RTL code. She has also proposed techniques to reduce power consumption and code size of NISCs while improving their performance via architecture customization.
URL:https://www.cecs.uci.edu/event/bita-gorjiara-takes-hami-and-best-paper-award/
CATEGORIES:Awards
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