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Deep learning researcher with a focus on multimedia processing, namely symbolic music, audio, video and image. Researcher at INESC TEC Portugal, working on video-based music generation using deep learning. Received master's degree in electronics engineering from Koc University in Turkey, working on video processing and compression using deep generative (and adversarial) neural networks. Obtained bachelor's degree from Sabanci University, implementing an EEG signal classifier as a graduation project. Worked as an intern at Champalimaud Neuroscience Center in Portugal, processing neural signals and videos obtained from experiments.
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Identification

Personal identification

Full name
Serkan Sülün

Citation names

  • Sulun, Serkan

Author identifiers

Ciência ID
D015-A81C-37EE
ORCID iD
0000-0003-1365-1884
Google Scholar ID
FehjYXEAAAAJ

Email addresses

  • serkan.sulun@inesctec.pt (Professional)

Telephones

Mobile phone
  • 911599569 (Personal)

Addresses

  • INESC TEC. Campus da Faculdade de Engenharia da Universidade do Porto Rua Dr. Roberto Frias, 4200-465, Porto, Porto, Portugal (Professional)

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Electrical and Electronic Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Turkish (Mother tongue)
German Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1)
Portuguese Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1) Beginner (A1)
Education
Degree Classification
2018/11/15
Concluded
 Electrical and Electronics Engineering (Master)
Koç Üniversitesi Elektrik ve Elektronik Mühendisligi Bölümü, Turkey
"Learned Frame Prediction for Video Compression" (THESIS/DISSERTATION)
 3.81/4.00
2014/06/21
Concluded
 Electronics Engineering (Bachelor)
Sabanci Üniversitesi Mühendislik ve Doga Bilimleri Fakültesi, Turkey
"Developing Adaptive Machine Learning Algorithms for Brain Computer Interfaces (BCIs) by Using Endogenous Brain Responses" (THESIS/DISSERTATION)
 3.86/4.00
Affiliation

Science

Category
Host institution 		Employer
2019/03/11 - Current Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2016/09/23 - 2018/11/03 Research Assistant (Research) Koç Üniversitesi, Turkey
Koç Üniversitesi, Turkey
2013/07/01 - 2013/10/01 Research Trainee (Research) Programa Champalimaud de Neurociências, Portugal
Programa Champalimaud de Neurociências, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2024/02/01 - 2024/05/15 Invited Assistant (University Teacher) Universidade Católica Portuguesa Católica Porto Business School, Portugal
Universidade Católica Portuguesa Católica Porto Business School, Portugal
2023/09/15 - 2024/01 Invited Assistant (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal
Universidade do Porto Faculdade de Engenharia, Portugal
2016/09/23 - 2018/11/03 Assistant (University Teacher) Koç Üniversitesi, Turkey
Koç Üniversitesi, Turkey
2010/02/01 - 2014/06/01 Tutor (University Teacher) Sabanci Universitesi, Turkey
Sabanci Universitesi, Turkey

Others

Category
Host institution 		Employer
2014/10/04 - 2015/08/03 Sound engineer Telfs Youth Center Music Studio, Austria
Marktgemeinde Telfs, Austria
Projects

Grant

Designation Funders
2024/02/01 - 2024/12/01 Semantic Video Analysis for Video-based Music Generation
AE2023-0370
Principal investigator
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Ongoing
2019/12/01 - 2022/11/30 New methods for multimedia content description, retrieval and browsing to improve the user experience and enable content creation and repurposing
LCF/BQ/DI19/11730032
PhD Student Fellow
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Fundação La Caixa
Ongoing
2019/03/11 - 2019/11/30 CompMash - Music compatibility models for interactive mashup applications
IF/01566/2015
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2016/09/25 - 2018/11/15 Image and Video Processing using Deep Neural Networks
217E033
Master Student Fellow
Koç Üniversitesi, Turkey
 Yuksekogretim Kurulu
Ongoing
Outputs

Publications

Book chapter
  1. Serkan Sulun; Pedro Oliveira; Paula Viana. "Emotion4MIDI: A Lyrics-Based Emotion-Labeled Symbolic Music Dataset". 2023.
    10.1007/978-3-031-49011-8_7
Journal article
  1. Sulun, S; Davies, MEP; Viana, P. "Symbolic Music Generation Conditioned on Continuous-Valued Emotions". IEEE ACCESS (2022):
    10.1109/access.2022.3169744
  2. Sulun, Serkan; Davies, Matthew E. P.. Corresponding author: Sulun, Serkan. "On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks". IEEE Journal of Selected Topics in Signal Processing 15 1 (2020): 132-142. http://dx.doi.org/10.1109/jstsp.2020.3037485.
    Published • 10.1109/jstsp.2020.3037485
  3. Sulun, Serkan; Tekalp, A. Murat. Corresponding author: Tekalp, A. Murat. "Can learned frame prediction compete with block motion compensation for video coding?". Signal, Image and Video Processing 15 2 (2020): 401-410. http://dx.doi.org/10.1007/s11760-020-01751-y.
    Published • 10.1007/s11760-020-01751-y
Thesis / Dissertation
  1. "Deep Learned Frame Prediction for Video Compression". 2018.
    10.13140/rg.2.2.28590.54085
Activities

Ad Hoc journal article review

Journal title (ISSN) Publisher
2021/05/05 - Current International Society for Music Information Retrieval Conference
2021/01/21 - Current Transactions of the International Society for Music Information Retrieval
2020/11/21 - Current IEEE Access

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2021/03/16 - Current Introduction to deep learning (Licenciatura) Instituto Politécnico do Porto, Portugal
2021/05/12 - 2021/05/12 Deep learning for music generation (Mestrado) Universidade do Porto, Portugal
2021/04/04 - 2021/04/04 Deep learning for music information retrieval (Mestrado) Universidade do Porto, Portugal
2016/09/20 - 2018/09/20 Introduction to MATLAB (Bachelor) Koç Üniversitesi, Turkey

Interview (newspaper / magazine)

Activity description Newspaper / Forum
2020/12/22 A bolsa deu-me muito conforto e posso passar mais tempo a desenvolver o meu trabalho Olhar no Progresso
2020/12/14 Ele quer criar música com a emoção das imagens Observador

Interview (tv / radio show)

Program Topic
2022/03/23 - 2022/03/23 SIC Notícias

Mentoring / Tutoring

Topic Student name
2021/11/24 - Current Text-conditioned symbolic music generation using emotion as an intermediary Pedro Miguel Pereira de Oliveira
Distinctions

Other distinction

2021 GPU grant
NVIDIA Corp, United States
2019 Research Grant
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2019 Scholarship
Fundação La Caixa, Spain
2016 Graduate Fellowship
Koç Üniversitesi, Turkey
2013 Erasmus Exchange Grant
European Commission, Belgium
2013 Erasmus Internship Grant
European Commission, Belgium
2010 Excellence Merit Scholarship
Education Foundation of Turkey, Turkey
2010 Scholarship
Turkiye Cumhuriyeti Basbakanlik, Turkey
2010 Employment Scholarship
Sabanci Universitesi, Turkey
2009 Excellence Merit Scholarship
Sabanci Universitesi, Turkey