Full CV (pdf)


University of Southern California, Los Angeles, California USA

  • PhD, Electrical Engineering (2017), Advisor: Prof. Shrikanth Narayanan

  • PhD Thesis: “Knowledge-Driven Representations of Physiological Signals: Developing Measurable Indices of Non-Observable Behavior”

  • MS, Electrical Engineering (2012)

National Technical University of Athens, Athens, Greece

  • Diploma (5-year degree), Electrical and Computer Engineering (2010)

  • Thesis: “Automatic Emotion Recognition from Speech”, Advisor: Prof. Petros Maragos

Research Interests

  • Biomedical/physiological signal processing (techniques for robust representations inspired by cognitive neuroscience and interpretations driven from human studies), wearable technology

  • Behavioral signal processing, affective computing, human-computer interaction

  • Data science, big data anlytics, machine learning

  • Speech processing


  • Computational Behavioral Science: Modeling, Analysis and Visualization of Social and Communicative Behavior (NSF, Expeditions in Computing)

  • Targeted Robust Audio Processing System (DARPA RATS Project, with IBM)

  • Quantitative comparison of wired and wireless EDA data collection equipment for measuring arousal in typically developing children and children with autism spectrum disorders in their home environment (California Foundation of Occupational Therapy Research Grant)

  • Using Mobile Technology to Measure Romantic Partners’ Emotions, Vocalizations, and Physiology as Possible Indicators of Dating Aggression (NIH/NCATS, Pilot Funding SC CTSI)

  • Capturing Life as it is Lived: Using Mobile Technology to Identify Real World Indicators of Dating Aggression (URAP, USC)


  • USC Women in Science and Engineering (WiSE) travel grant for attending EMBC 2016

  • USC Women in Science and Engineering (WiSE) Merit Fellowship (2015)

  • IEEE Signal Processing Society Travel Grant for attending ICASSP 2014

  • USC Women in Science and Engineering (WiSE) travel grant for attending ICASSP 2014

  • USC Annenberg Graduate Fellowship (academic years 2010-2011, 2011-2012)

  • USC Women in Science and Engineering (WiSE) Graduate Top-off Fellowship (academic years 2010- 2011, 2011-2012)

  • Academic Honor, Federal Scholarship Institution of Greece (academic years 2005-2006, 2007- 2008)

Employment and Research Experience

  • Signal Analysis and Interpretation Lab (SAIL), University of Southern California, Research Assistant (summer of 2011, June 2012 - present)

  • Disney Research, Lab Associate Intern (May 2015 - August 2015)

  • Mental Health Care Unit, Evgenidion Hospital University of Athens, Undergraduate Researcher (June 2009 - July 2010)

Talks / Lectures

  • “Knowledge-driven physiological representations for analyzing and interpreting wearable sensor signals,” Big Data and Human Behavior Symposium, University of Southern California, 2016 (Best presentation award)

  • “Quantifying Physiological Synchrony in Romantic Relationships with Joint Sparse Representation,” Computational Mental Health Workshop, Society for Personality and Social Psychology (SPSP) Annual Convention, 2016

  • “Knowledge-driven representations of physiological signals: Developing measurable indices of non-observable behavior,” Flash talk, USC Ming Hsieh Institute Research Festival, University of Southern California, 2015

  • “Markov Chain Monte Carlo inference of parametric dictionaries for sparse Bayesian approximations,” Flash talk, MBMC Workshop: Communications, Inference and Computing in Molecular and Biological Systems, University of Southern California, 2015

  • “Introduction to Biomedical Signal Processing,” Wireless and Mobile Networks Design and Laboratory, Prof. Murali Annavaram, University of Southern California, 2015

  • “Analyzing the structure of narratives from children with ASD,” Annual Meeting of NSF Expe- dition Project in Computational Behavioral Science, Carnegie Mellon University, 2013

Technical Skills

  • Programming Languages: C/C++, Java, Python, Perl, Pascal, Assembly, HTML, Prolog

  • Tools: Matlab, Bash, HTK Speech Recognition Toolkit, Sonic Large Vocabulary Continuous Speech Recognition System, HPCC Computing Cluster, Latex