PeopleofSuperintelligence

Researcher

Konstantinos N. Plataniotis

Also known as K N Plataniotis, K Plataniotis, K. N. PLATANIOTIS, K. N. Plataniotis, K. Plataniotis, Kostas N. Plataniotis, Kostas Plataniotis, K. N. (Kostas) Plataniotis

At the University of Toronto, Plataniotis is a professor who directs the Multimedia Laboratory and is president of the IEEE Signal Processing Society as of October 2026. His research spans image and signal processing, machine learning, adaptive learning systems, visual data analysis, multimedia, and affective computing, with work on face recognition and EEG-based affect classification. He earned a bachelor of engineering in computer engineering at the University of Patras in 1988, then master's and doctoral degrees in electrical engineering at Florida Tech in 1992 and 1994, and joined Ryerson University's Computer Science Department in 1997. In 2003, he coauthored a kernel discriminant analysis paper on face recognition, and in 2015 he presented an EEG method for classifying affective states. IEEE named him a Fellow in 2012, and the Canadian Academy of Engineering elected him a Fellow in 2021.

Timeline

  1. 1988–1999

    Engineering degrees and Ryerson

    He earns a B.Eng. in computer engineering from the University of Patras in 1988 and M.S. and Ph.D. degrees in electrical engineering from Florida Tech in 1992 and 1994. From July 1997 to June 1999, he works with Ryerson University's Computer Science Department.

  2. 2003

    Kernel learning for face recognition

    With Juwei Lu and Anastasios N. Venetsanopoulos, he coauthors “Face Recognition Using Kernel Direct Discriminant Analysis Algorithms,” published in IEEE Transactions on Neural Networks in 2003. The kernel method addresses nonlinear face-pattern distributions and the small-sample-size problem.

  3. 2012

    IEEE Fellow

    IEEE names him a Fellow in 2012 for contributions to the theory and application of statistical adaptive learning.

  4. Since 2014

    Bell Canada Endowed Chair

    He holds the Bell Canada Endowed Chair in Multimedia at the University of Toronto since 2014.

  5. 2015

    EEG-based affect classification

    At a 2015 plenary, he presents a method that uses multivariate empirical mode decomposition to reconstruct EEG signals for affect classification. The study tests K-nearest neighbors and linear discriminant analysis.

  6. 2021

    Canadian Academy Fellow

    He is elected a Fellow of the Canadian Academy of Engineering in 2021.

  7. As of October 2026

    Toronto professor and SPS president

    On 1 May 2024, he becomes president of the IEEE Signal Processing Society and continues in the role in 2025. As of October 2026, he is president of the Society and a professor at the University of Toronto, where he directs the Multimedia Laboratory. His research includes image and signal processing, machine learning, adaptive learning systems, visual data analysis, multimedia, and affective computing.

Career

  1. Since 2014University of TorontoProfessor; Bell Canada Endowed Chair in Multimedia
  2. 1997–1999Ryerson University

Education

  1. 1994Florida Institute of TechnologyPh.D. in electrical engineering
  2. 1992Florida Institute of TechnologyM.S. in electrical engineering
  3. 1988University of PatrasB.Eng. in computer engineering

From the biography.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Toronto. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University of Toronto. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes University of Toronto. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorate. Across 2,116 people with both an undergraduate degree and a doctorate recorded, we trace which undergraduate schools feed which doctoral programs, how often students stay at the same school, and how paths differ by birth-country region.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Toronto. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. K. N. (Kostas) Plataniotis biography | University at Buffalo seminar page eng.buffalo.edu. Checked 21 October 2026.
  2. Application of Multivariate Empirical Mode Decomposition in EEG Signals for Subject Independent Affective States Classification cscc.co. Checked 21 October 2026.
  3. Face recognition using kernel direct discriminant analysis algorithms lacuna.tiptreesystems.com. Checked 21 October 2026.
  4. IEEE Fellow | IEEE CASS ieee-cas.org. Checked 21 October 2026.
  5. Plataniotis, Konstantinos Professor - Electrical & Computer Engineering ece.utoronto.ca. Checked 21 October 2026.
  6. Professors Plataniotis and Sousa elected to the Canadian Academy of Engineering ece.utoronto.ca. Checked 21 October 2026.
  7. Call for Officer Nominations: President-Elect signalprocessingsociety.org. Checked 21 October 2026.
  8. IEEE Signal Processing Society Recognized for Its Diversity, Equity, and Inclusion technical-community-spotlight.ieee.org. Checked 21 October 2026.
  9. Executive Committee | IEEE Signal Processing Society signalprocessingsociety.org. Checked 21 October 2026.