Education

• Ph.D. in Information Engineering – University of Padova (2021)
  Thesis Title: Binary Classifier Inspired by Quantum Detection Theory
  Download Thesis

• M.S. in Innovative Software Systems – National University of Science and Technology MISiS (2017)
  Thesis Title: Accident Analysis by Using Data Mining Techniques
  Download Thesis

• B.E. in Electronic and Communication Engineering – RGPV University (2012)

Professional Experience

• Sept 2024–Ongoing: Associate Professor
  Halmstad University, Sweden
  Duties: Research and Teaching in Machine Learning

• Feb 2024–Aug 2024: Senior Lecturer
  Halmstad University, Sweden
  Duties: Research and Teaching in Machine Learning

• Aug 2022–Jan 2024: Assistant Professor
  Halmstad University, Sweden
  Duties: Research and Teaching in Machine Learning

• Aug 2022–Ongoing: Visiting Researcher
  Aalto University, Finland
  Duties: Exploring AI models in Healthcare

• Feb 2021–July 2022: Postdoctoral Researcher
  Aalto University, Finland
  Duties: Exploring AI models in Healthcare

• Oct 2017–Sep 2020: Marie Curie Researcher
  Quartz Project, University of Padova, Italy
  Duties: Exploring Quantum Inspired Machine Learning Models

• Jan 2020–May 2020: Visiting Researcher
  The Open University, U.K.
  Duties: Cognitive AI, QML

• April 2019–July 2019: Visiting Researcher
  Queensland University of Technology, Australia
  Duties: Quantum Cognitive Models in AI, QML

• Sep 2015–May 2017: Research Assistant
  National University of Science and Technology MISiS, Moscow, Russia
  Duties: Data mining approaches for road and traffic accident analysis

Skills

• Programming: Python (Scikit-learn, NumPy, Pandas, TensorFlow, Keras, Pennylane, NLTK), MATLAB, R Studio
• Quantum Software: Qiskit, myQLM, Pennylane
• Crowd-Sourcing Platforms: Qualtrics, Prolific

Publications

For a full list of articles, visit my Google Scholar Profile.