Thomas Karanikiotis

Research interests

• Machine Learning
• Software Engineering
• Computer Science
• Data Mining
• Source Code Quality

Foreign Languages

• English: Proficient (Michigan State University, The University of Michigan, IELTS Academic)
• German: Upper Intermediate (Goethe Zertifikat B2)
• Italian: Upper Intermediate (Certificato Statale di Conoscenza delle Lingue – B2)

Education

12/2018 – today	PhD candidate, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece PhD Thesis: “Deep Learning Representations for Software Artefacts”
09/2013 – 07/2018	Diploma of Electrical and Computer Engineering, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece Diploma Thesis: “Scattering Transform with translation invariance for more efficient Deep Learning” GPA: 9.34/10

Professional Experience

10/2018 – today

Research Associate / Machine Learning Engineer, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece CIA (https://issel.ee.auth.gr/cia-project/) TekTrain (https://issel.ee.auth.gr/gr-tektrain/)

Teaching Experience

9/2019 – today	Teaching Assistant at the course Pattern Recognition, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece
9/2019 – today	Teaching Assistant at the course Big Data Analytics, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece

Scientific publications (Journals)

• Michail Papamichail, Kyriakos Chatzidimitriou, Thomas Karanikiotis, Napoleon-Christos Oikonomou, Andreas Symeonidis and Sashi Saripalle, “BrainRun: A Behavioral Biometrics Dataset towards Continuous Implicit Authentication“, Data, 4, (2), 2019 May