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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.
IEEE Fellows Directory - All SPS Fellows can be found here.
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 46 SPS members who were recognized with the grade of Fellow as of 1 January 2022:
Daniel Abramovitch, for contributions to the development of algorithms for control of mechatronic systems.
Ghassan AlRegib, for contributions to perception-based and context-based visual signal processing.
Shoko Araki, for contributions to blind source separation of noisy and reverberant speech signals.
Michiel Bacchiani, for leadership in commercial automatic speech recognition systems.
Emil Björnson, for contributions to multi-antenna and multi-cell wireless communications.
Laure Blanc-Feraud, for contributions to inverse problems in image processing.
Petros Boufounos, for contributions to compressed sensing.
Chee-Yee Chong, for contributions to information fusion methods for multi-sensor tracking.
Thomas Clancy, for leadership in security and wireless communications.
Bruno Clerckx, for contributions to multi-antenna communications and wireless power transmission.
Andrea Conti, for contributions to wireless communication and localization systems.
Mauro Conti, for contributions to communications network security.
Alexandros G. Dimakis, for contributions to distributed coding and learning.
Trung Q. Duong, for contributions to cooperative communications and physical layer security.
Carol Espy-Wilson, for contributions to speech enhancement and recognition.
Junlan Feng, for leadership in spoken dialog applications, AI platform, and network intelligence.
Cedric Fevotte, for contributions to nonnegative matrix factorization, source separation, and spectral unmixing.
Alessandro Foi, for contributions to image restoration and noise modeling.
Eric Fosler-Lussier, for contributions to spoken language technology by integrating linguistic models with machine learning.
Simon Godsill, for contributions to statistical signal processing for tracking and audio restoration.
Deniz Gunduz, for contributions to the foundations of source-channel coding, cooperative and cache-aided communications.
Steve Hranilovic, for contributions to optical wireless communication systems.
Mathews Jacob, for contributions to computational biomedical imaging.
Soummya Kar, for contributions to distributed signal processing.
Hideki Kawahara, for contributions to auditory-inspired speech signal processing and science.
Kevin Kelly, for contributions to compressive imaging.
Amir Leshem, for contributions to multi-channel and multi-agent signal processing.
Siwei Lyu, for contributions to digital media forensic technologies.
Webert Montlouis, for leadership in the development of radar systems.
Debargha Mukherjee, for leadership in standard development for video-streaming industry.
Vittorio Murino, for contributions to signal processing for behavior analysis.
Krishna Nayak, for contributions to real-time magnetic resonance imaging of the human heart and vocal tract airway.
Guojun Qi, for contributions to multimedia analysis and applications.
Shiguang Shan, for contributions to visual signal processing and recognition.
Heng Tao Shen, for contributions to multimedia content understanding and retrieval.
Steven Simske, for contributions to anti-counterfeiting and cyber-physical security.
Hanghang Tong, for contributions to graph mining.
Mikko Valkama, for contributions to physical layer signal processing in radio systems.
Mayank Vatsa, for contributions to secure biometric recognition.
Ashok Veeraraghavan, for contributions to computational photography and computer vision.
Emmanuel Vincent, for contributions to audio source separation and challenge series methodology.
Dongmei Wang, for contributions to biomedical informatics and AI.
Jingdong Wang, for contributions to visual content understanding and retrieval
Rebecca Willett, for contributions to the foundations of computational imaging and large-scale data science.
Jun Zhang, for contributions to dense wireless networks.
Yefeng Zheng, for contributions to machine learning for medical imaging.
The following individuals were evaluated by the SPS, but are not SPS members:
Tara Sainath, for contributions to deep learning for automatic speech recognition.
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.