Center for Visual and Decision Informatics

Email: ai@ece.au.dk
Phone: +45 9350 8875
Website: https://pure.au.dk/portal/en/alexandros.iosifidis@eng.au.dk

• Pedagogy - Pedagogical Training for University Lecturers | University of Jyvaskyla & Tampere University (2016-2017)
  
• Ph.D. (with honors) - Computer Science | Aristotle University of Thessaloniki, Greece (2014)
  
• M.Eng. (with honors) - Electrical and Computer Engineering | Democritus University of Thrace (2010)
  
• Diploma (5-year studies) - Electrical and Computer Engineering | Democritus University of Thrace (2008)

Alexandros Iosifidis is an Associate Professor at Aarhus University, Denmark. He leads the Machine Learning & Computational Intelligence group at the Department of Electrical and Computer Engineering. He has contributed in more than twenty R&D projects financed by EU, Finnish, and Danish funding agencies and companies. He has co-authored 85+ articles in international journals and 100+ papers in international conferences/workshops proposing novel Machine Learning techniques and their application in a variety of problems. He received prestigious awards, including the Academy of Finland Postdoctoral Research Fellowship 2016, and the H.C. Ørsted Young Researcher Prize 2018 for contributions to Signal Processing and Machine Learning, and the EURASIP Early Career Award 2021 for contributions to Statistical Machine Learning and Artificial Neural Networks.

Alexandros is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and he served as an Officer of the Finnish IEEE Signal Processing-Circuits and Systems Chapter from 2016 to 2018. As of 2020 he is a member of the Technical Area Committee on Visual Information Processing of the European Association of Signal Processing (EURASIP), and a Management Committee Member of the COST Action Fintech and Artificial Intelligence in Finance. As of 2021, he is leading the Machine Intelligence research area of the Centre for Digitalisation, Big Data and Data Analytics (DIGIT) at Aarhus University. He is currently serving as Associate Editor in Chief for the Neurocomputing journal, covering the research area of Neural Networks. He has been serving in the Editorial Board of international journals, including the Signal Processing: Image Communication journal and the BMC Bioinformatics journal. He contributed in the organization of several international conferences as an Area Chair or Technical Program Committee Chair, including IEEE ICIP (2018,2019,2020,2021), EUSIPCO (2019,2021), IEEE ICASSP (2019), and as Program Committee Member of IJCNN (2021).

LINK to CV: https://www.dropbox.com/s/dvd1ns4zsjuyaq8/AIosifidis_CV_full.pdf?dl=0

• Jan 2019 - Present | Aarhus University | Associate Professor
  
• Aug 2017 - Dec 2018 | Aarhus University | Assistant Professor
  
• mar 2018 - Present | Tampere University | Adjunct Professor (Docent)
  
• Nov 2017 - Present | LUT University | Adjunct Professor (Docent)
  
• Sep 1026 - Jul 2017 | Tampere University | Academy of Finland Postdoctoral Research Fellow
  
• Apr 2015 - Mar 2017 | Tampere University | TUT Foundation Postdoctoral Research Fellow
  
• Jan 2015 - Mar 2015 | Tampere University | Postdoctoral Researcher
  
• Jan 2014 - Dec 2014 | Aristotle University of Thessaloniki (AUTH) | Postdoctoral Researcher
  
• Feb 2010 - Dec 2013 | Aristotle University of Thessaloniki (AUTH) | Researcher, PhD Candidate
• Sep 2008 - Feb 2010 | Democritus University of Thrace (D.U. Th.) | Research Assistant

• 16.09 - Comparative Knowledge Discovery: Analytizing, Understanding and Visualizing Rankings
  
• 15.8 - Let the Image Speak (Real time image captioning based on object detection and localization)
  

• 10a.002.TAU_WP5 - Confidence Estimation in Neural Network for Illumination Estimation
  
• 8a.014.TAU - Advanced Machine Learning for Industrial Applications (AMaLIA-2019)
  
• 7a.028.TUT - Co-Botics - Intelligent Cooperating Robots and Humans - Phase-II
  
• 7a.022.TUT - Unsupervised Color Constancy using Adversarial Learning
  
• 6a.008.TUT - Co-botics: Intelligent Cooperating Robots & Humans
  
• 16.03 - Face Recognition and Verification System