[IEEE Biometrics Council]: Free Webinar by Prof. Terence Sim on "Power Papers: Some Practical Pointers"

*** FREE ONLINE WEBINAR on Power Papers: Some Practical Pointers ***

The IEEE Biometrics Council invites participants to the upcoming (free) webinar by Prof. Terence Sim on "Power Papers: Some Practical Pointers". Detail on the webinar are given below:

Title: Power Papers: Some Practical Pointers
Speaker: Professor Terence Sim, School of Computing, National University of Singapore
When: 4 December 2024, at 4pm Beijing time (9 am CET)
Where: Online (Zoom)
Registration: (free, but required): https://us06web.zoom.us/webinar/register/WN_ZPYFN0VTRdObat4LmrewUw 

*** Talk Summary ***
Writing a good research paper takes effort; more so if there is a page limit. Yet this skill is required of every researcher, who, more often than not, fumbles his or her way through. Good grammar is only a start; care and craft must be applied to turn a mediocre paper into a memorable one. Writing skills can indeed be honed. In this abridged talk, I will highlight the common mistakes many researchers make, and offer practical pointers to pack more punch into your paper. Needless to say, the talk will be biased: I will speak not from linguistic theories, but from personal experience, sharing what has, and has not, worked for me. I will cover two major sections of a technical paper: the Title and Introduction. I will discuss the purpose of each section, present common mistakes, and provide concrete examples of good writing. The intended audience is the graduate student writing his/her first paper, but everyone is welcome. Seasoned writers are encouraged to share their experience of how they improved their writing.

*** About the Speaker ***
Dr. Terence Sim is an Associate Professor at the School of Computing, National University of Singapore (NUS). He is also Vice Dean for the NUS Office of Admissions. Over 2 decades, Dr. Sim has conducted research in Biometrics, Computer Vision, Computational Photography, and Privacy in Images. He served as Second Vice President in the International Association for Pattern Recognition from 2020 to 2022, and is still chairing a committee there. He is also active in the IEEE Biometrics Council, where for the past two years he chaired the Selection Working Group for the annual awards given by the Council. Dr. Sim obtained his PhD from Carnegie Mellon University in 2002, his MSc from Stanford University in 1991, and his SB from the Massachusetts Institute of Technology in 1990.

For more information, visit: https://ieee-biometrics.org/event/power-papers-some-practical-pointers/