Lev Velykoivanenko

Lev Velykoivanenko is a PhD candidate in the Department of Information Systems at the University of Lausanne. His research areas primarily focus on privacy and security, data-driven investigation systems, and the application of data from wearable devices. His work emphasizes innovative approaches to address user privacy issues and the development of data augmentation techniques to optimize classifier performance. He has contributed to various research projects, concentrating on building data processing tools that support both academic and industrial applications. With extensive experience as a research assistant, he has developed web scraping tools, data augmentation pipelines, and supported teaching activities. His research findings have been published in major academic conferences, achieving significant impact in the fields of information systems and privacy.

• 2018–Present·University of Lausanne·PhD Candidate
  • Focused on researching privacy and security issues in the field of information systems.
• Full-time (100%) | Research Assistant | University of Lausanne
  • Engaged in master’s thesis-related research projects.
• Part-time (40%) | Research Assistant | University of Lausanne
  • Developed grading applications to assist with evaluating student assignments.
  • Supervised student laboratory courses and resolved SAP technical issues.
  • Prepared teaching materials such as lecture slides and case analyses.
• Part-time (20%) | Research Assistant | University of Lausanne
  • Built web crawlers for academic article metadata scraping.
  • Developed data augmentation pipelines for legal entity classifiers.

• 2018–Present·University of Lausanne·PhD Candidate
  • Research objective: Information Systems
• Master's Degree | University of Lausanne | Information Systems
  • Research objective: Data-driven investigation and privacy protection
• Bachelor's Degree | Economics
  • Research objective: Intersection of Economics and Information Systems