Singapore Delegate to Harvard’s National Model United Nations
Best Student Paper Award from PREMIA & ICTAI 2011 Best Paper Award
PhD student Li Shukai was granted the Best Student Paper Award (Gold Prize) from the Pattern Recognition and Machine Intelligence Association (PREMIA) for his notable work Maximum Margin/Volume Outlier Detection published in the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2011). This work also clinched the Best Paper Award at ICTAI 2011.
PREMIA, which is an affiliated member of the International Association for Pattern Recognition (IAPR), aims to provide a forum for scientists and engineers in Singapore who are interested in pattern recognition and machine intelligence research. Every year PREMIA chooses the best from its student members’ papers, published in top journals and conferences on relevant topics in the previous year. Relevant topics include, but are not limited to, pattern recognition and machine intelligence in applied domains including computer vision, image processing, speech analysis, robotics, multimedia, document analysis, character recognition, knowledge engineering, fractal analysis and intelligent control. These involve using methods such as statistical techniques, neural networks, evolutionary programming, fuzzy logic, machine learning and hardware implementation. The final decision is judged by the award committee based on the novelty and impact of the papers.
Shukai would like to take this opportunity to express his heartfelt appreciation to his mentor Professor Ivor W. Tsang, "Thank you for your long term support and guidance. As a member of SCE, I feel the research of our school has made significant progress in recent years, and our researchers gain more and more prizes worldwide."
Read the Abstract of his paper.
BAE Systems Best Student Paper Award at the 2012 IS&T/SPIE Electronic Imaging Conference
The BAE Systems Best Student Paper Award was given out to Ramya Hebbalaguppe in January at the 2012 Society for Imaging Science and Technology (IS&T) and SPIE Electronic Imaging Conference. An SCE visiting researcher, Ramya joined SCE from October 2009 to January 2011. Her interests in Digital Photography and Image Processing, this led her to SCE’s Associate Professor Ramakrishna Kakarala, whose expertise was in the field of Computational Photography.
Co-authored by Professor Kakarala, her winning paper, An efficient multiple exposure image fusion in JPEG domain was published in SPIE Proceedings Vol 8299 and received much interest from the engineers at Sony and Rambus in the testing method used.
Held in San Francisco, the IS&T/SPIE Electronic Imaging Conference attracted industry experts and professionals. The IS&T as well as the SPIE hold major conferences, educational programs, and technical exhibitions globally. IS&T is an international society related to all aspects in the field of imaging, in particular, digital printing, electronic imaging, color science, photofinishing, image preservation, silver halide, pre-press technology, and hybrid imaging systems. The SPIE is an international society advancing an interdisciplinary approach to the science and application of light.
Read the paper Abstract & her Personal Thank You Note.
Best Paper Award at the 2012 International MultiMedia Modeling Conference (MMM)
Wan Kong Wah, SCE’s PhD student, received the Best Paper Award at the 2012 International MultiMedia Modeling Conference (MMM), held in Klagenfurt, Austria. The MMM is a leading global conference where researchers and industry professionals come together to share their new ideas, original research results and practical development experiences for all Multimedia Moldelling related areas.
The MMM conference calls for research papers which report original investigation results and industrial track papers with real multimedia applications and system development experience. The conference also solicits proposals for tutorials on crucial technologies of multimedia modeling and calls for special sessions proposals that focus specifically on new challenges in the multimedia field.
Kong Wah’s paper studies the practical video search system. In a typical video search process, the system attempts to predict search intent and automatically completes ones query after typing your search in the query box. Kong Wah observed that the suggested queries seem ad-hoc and disorganised, appearing more like results from a simple spell corrector and lexicographical matching. He was inspired to seek a method to derive better topics and groups for suggested queries in video collections.
For such search queries, if search collection comprises of text articles, there are available text processing tools to achieve this groupings. However, if the search collection consists of video materials, then there needs to be additional processing to derive meaning groups. It dawned on him that it would be a good idea to organise these queries into meaning semantic groups.
Together with his supervisors Associate Professor Tan Ah Hwee, Associate Professor Clement Chia and Adjunct Professor Lim Joo Hwee, he produced his winning paper Topic Based Query Suggestions for Video Search. Under their mentorship, he learned to be focused in his thought process, develop precision in his technical writing skills and improve his presentations by being more concise.
Kong Wah expresses his heartfelt thanks to his supervisors for their patience and understanding, as he is working full time while pursuing his PhD.
Read his Abstract.
4th in 2011 HEEACT University Ranking
Nanyang Technological University’s (NTU) came in 4th in the world for their Computer Science department in the recent Higher Education Evaluation and Accreditation Council of Taiwan’s (HEEACT) 2011 university ranking. NTU ranked behind Massachusetts University, University of California – Berkley and Stanford University.
Incepted in 2005, the HEEACT measures the performance of scientific papers on their research productivity, research impact and research excellence. In collaboration with HEEACT, the Scientific Business arm of Thomson Reuters helps to monitor the research output of universities in an impartial manner and aims to provide an informed and balanced viewpoint in the evaluation system.
The School of Computer Engineering is a research intensive School in the fields of Computer Engineering (CE) and Computer Science (CS), providing Undergraduate and Graduate Programmes.
In the latest Graduate Employment Survey (GES) SCE’s CS Undergraduates emerged the top earners in NTU. Conducted annually by Singapore's Ministry of Education (MOE), the survey accesses the employment conditions of graduates 6 months after graduation. The GES provides prospective students with timely and comparable data that they need in making informed course decisions.
SCE’s Class of 2010's CS graduates ranked 1st with a mean monthly pay of S$3,385, with National University of Singapore's (NUS) CS graduates drawing S$3,289 monthly. SCE's CE graduates make 4th place in the NTU ranking coming in at S$3,272, while NUS's CE graduates were surveyed to draw S$3,163 per month.
HEEACT Ranking | MOE Survey Results