Each year, the IEEE Board of Directors confers the grade of Fellow on up to one-tenth percent of the members. To qualify for consideration, an individual must have been a Member, normally for five years or more, and a Senior Member at the time for nomination to Fellow. The grade of Fellow recognizes unusual distinction in IEEE’s designated fields.
Each year, the IEEE Board of Directors confers the grade of Fellow on up to one-tenth of one percent of the voting members. To qualify for consideration, an individual must have been a Member, normally for five years or more, and a Senior Member at the time for nomination to Fellow. The grade of Fellow recognizes unusual distinction in IEEE’s designated fields.
The Signal Processing Society congratulates the following 39 SPS members who were recognized with the grade of Fellow as of 1 January 2018:
Fauzia Ahmad, Philadelphia, PA, for contribution to through-the-wall radar imaging.
Kohtaro Asai, Tokyo, Japan, for contributions to video coding development and standardization.
Gustavo Camps-Valls, Valenciana, Spain, for contributions to machine learning in remote sensing.
Emmanuel Candes, Stanford, CA, for contributions to sparse and low-rank signal and image processing.
Chip Hong Chang, Singapore, for contributions to hardware security.
Karen Egiazarian, Tampere, Finland, for contributions to image and video denoising and restoration.
Daniel Ellis, New York, NY, for contributions to speech, audio, and music processing.
Pascal Frossard, Lausanne, Switzerland, for contributions to adaptive image and video representation, coding and communication.
Mounir Ghogho, Rabat, Morocco, for contributions to synchronization algorithms for communication systems.
Yihong Gong, Xi'an City, China, for contributions to pattern recognition and multimedia content analysis.
Martin Haardt, Ilmenau, Germany, for contributions to multi-user MIMO communications and tensor-based signal processing.
Aleksandar Kavcic, Honolulu, HI, for contributions to signal processing and coding in data storage.
Brian E.D. Kingsbury, Yorktown Heights, NY, for contributions to acoustic models for automatic speech recognition.
Ajay Kumar, Kowloon, Hong Kong, for contributions to non-contact hand based biometrics recognition.
Riccardo Leonardi, Brescia, Italy, for contributions to image and video compression and multimedia semantic content analysis.
Ben Liang, Toronto, Canada, for contributions to mobility modeling and resource management in wireless networks.
Chia-Wen Lin, Hsinchu, Taiwan, for contributions to multimedia coding and editing.
Olgica Milenkovic, Urbana, IL, for contributions to genomic data compression.
Javier Ortega-Garcia, Madrid, Spain, for contributions to biometrics for forensic speaker verification and signature recognition.
Hairong Qi, Knoxville, TN, for contributions to collaborative signal processing in sensor networks.
Tony Q. S. Quek, Singapore, for contributions to heterogeneous and wireless networks.
Brian Rigling, Dayton, OH, for contributions to synthetic aperture radar imaging.
Kim Roberts, New York, NY, for contributions to digital signal processing for coherent optical communication systems.
Justin Romberg, Atlanta, GA, for contributions to compressive sensing.
Badrinath Roysam, Houston, TX, for contributions to image processing algorithms for biological microscopy.
Kevin Sangston, Atlanta, GA, for contributions to coherent detection of radar signals in clutter.
Hiroshi Sawada, Nara, Japan, for contributions to blind source separation of speech and audio signals.
Bjoern Schuller, Passau, Germany, for contributions to computer audition.
Andrew Senior, London, UK, for contributions to pattern recognition in speech, computer vision, and biometrics.
Shihab Shamma, College Park, MD, for applications of signal processing to auditory neuroscience.
Weifeng Su, Buffalo, NY, for contributions to multi-input multi-output wireless communications and cooperative networks.
Matthew Valenti, Morgantown, WV, for contributions to cooperative diversity and development of distributed turbo codes.
Sergiy Vorobyov, Espoo, Finland, for contributions to optimization in robust signal processing.
Stefan Winkler, Singapore, for contributions to perceptual video quality measurement.
Dong Xu, Sydney, Australia, for contributions to recognition and retrieval of multimedia and biometric data.
Dong Yu, Bothell, WA, for contributions to context-dependent automatic speech recognition.
Changshui Zhang, Beijing, China, for contributions to semi-supervised learning for signal processing.
Lei Zhang, Hong Kong, for contributions to sparsity-based image modeling and perceptual image quality assessment.
Tong Zhou, Beijing, China, for contributions to robust identification and estimation of control systems.
The following individuals were evaluated by the SPS, but are not SPS members:
Alexander Bronstein, Tel Aviv, Israel, for contributions to three-dimensional geometric processing in imaging.
Hany Farid, Hanover, NH, for contributions to digital forensics.
Michael Riley, New York, NY, for contributions to automatic speech recognition using Weighted Finite-State Transducers.
IEEE Fellow is the highest grade of membership of the IEEE. It honors members with an outstanding record of technical achievements, contributing importantly to the advancement or application of engineering, science and technology, and bringing significant value to society.
Around the end of November, the new class of IEEE Fellows is announced. Hopefully, the list contains many names familiar to you. If not, then perhaps it is a good idea to nominate someone yourself! Anyone can be a nominator (no need to be an IEEE Fellow, or even an IEEE member). The nomination deadline is 1 March, and all required information (and an “electronic” nomination kit) is obtained from Fellows page on IEEE website. Please note nominees must be an IEEE Senior Member or IEEE Life Senior Member in good standing, who has been a member for 5 years or more preceding 1 January of the elevation year. Self-nominations are not permitted.
The IEEE and the Signal Processing Society would like to put some emphasis on:
Each year, SPS receives about 60 nominations, and IEEE a total of around 800. About 300 of the 800 are successful. While all pertinent information can be obtained from public IEEE websites (see in particular the Fellows manual.) The Society would like to give some hints to improve the chances that a nomination will be successful.
It helps to understand the elaborate review process. Nominations first obtain a technical evaluation by a relevant Society Fellow Reference Committee. This results in a rank-ordering (numerical grade) and brief essays (150-200 words) regarding the following questions:
The essays, rank ordering and score go to the IEEE-level Fellow Committee. The committee is partitioned into small groups, and the nomination forms are randomly distributed over the groups. Each nomination is then scored on four categories. The Society score and rank-ordering is one category, but it counts for only 25% of the total. The main category is Technical Accomplishment (40%). Since the jury groups are certainly non-experts, they will base themselves mostly on the Society Committee essays, so these play an important role. The remaining categories are the attached references letters from 5-8 IEEE Fellows (15%), professional activities (10%), and years in the profession (10%).
From this process, it is important to realize that the majority of reviewers are non-experts on the work of a nominee. Nomination forms should be written with this in mind! Focus on clear, tangible contributions and evidence, and do not forget to discuss their impact on society. Clear essays by the Society Committees are very important as well, so help the committee members by making the required input for these essays readily (and compactly) available in the nomination form.
The Society Committees do not see the reference letters, as these go directly to the IEEE-level Fellow Committee. Thus, these letters should be written to impress non-experts, and also the stature of the referee should be briefly pointed out.
Finally, while many of us are familiar with nominations related to outstanding academic contributions (these go to the category “Research Engineer/Scientist”), there are three other submission categories with equal recognition:
In each case, the contributions are to be judged on the basis of uniqueness, innovation, and wide acceptance. For the latter categories, it is important that the nominator points out clearly what the individual’s technical contribution was to a group effort. In addition, you should add what were the specific technical contributions that the nominee made, which made the achievement possible.
There are many deserving members of the Signal Processing Society. The Society encourages you to help them get the recognition that comes with being an IEEE Fellow.