CV
Education
- Ph.D in Information Engineering, University of Padova, 2021
- Thesis title: Binary Classifier Inspired by Quantum Detection Theory (Download thesis here)
- 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 here)
- B.E. in Electronic and Communication Engineering, RGPV University, 2012
Professional Experience
- Feb 2024- Ongoing: Associate Professor (Senior Lecturer)
- Halmstad University, Sweden
- Duties included: Research and Teaching in Machine Learning
- Aug 2022- Jan 2024: Assistant Professor
- Halmstad University, Sweden
- Duties included: Research and Teaching in Machine Learning
- Aug 2022- Ongoing: Visiting Researcher
- Aalto University, Finland
- Duties included: Exploring AI models in Helthcare
- Feb 2021- July 2022: Postdoctoral Researcher
- Aalto University, Finland
- Duties included: Exploring AI models in Helthcare
- Oct 2017-Sep 2020: Marie Curie Researcher.
- Quartz Project
- University of Padova, Italy
- Duties included: Exploring Quantum Inspired Machine Learning Models
- Jan 2020-May 2020: Visiting Researcher
- The Open University, U.K.
- Duties included: Cognitive AI, QML
- April 2019-July 2019: Visiting Researcher
- Queensland University of Technology, Australia
- Duties included: Quantum Cognitive Models in AI, QML
- Sep 2015-May 2017: Research Assistant
- National University of Science and Technology MISiS, Moscow, Russia
- Duties included: Data mining approaces for road and traffic accident analysis
Skills
- Python (Scikit-learn, Numpy, Pandas, Tensorflow, keras, Pennylane, NLTK), Matlab, R Studio, Qualtrics
- Quantum Software: Qiskit, myQLM, Pennylane
- Crowd-sourcing Platforms: Qualtrics, Prolific
Publications
You can find the full list of articles on Google Scholar