معرفی
Monika di Angelo is an Assistant Professor at Vienna University of Technology's Faculty of Informatics, Department of Automation and Control Systems. Working at 50% capacity, she focuses on Information Systems Engineering and Visual Computing and Human-Centered Technology. Her research spans blockchain technology, smart contracts, Ethereum security, vulnerability detection, cultural heritage applications, and educational informatics.
Dr. di Angelo's research interests center around blockchain technology and smart contract security, with particular expertise in Ethereum. Her work explores vulnerability detection in smart contracts, compiler analysis, token standards, and wallet implementations. She also maintains research interests in cultural heritage applications through digital visualization and simulation, extending from earlier work on architectural heritage and pedestrian behavior modeling. Her educational research focuses on didactics in computer science education, particularly for secondary schools and vocational training.
Her publication record shows a clear evolution from early work in educational technology and architectural visualization toward blockchain and smart contract research starting around 2018. Recent publications demonstrate deep expertise in Ethereum security analysis, vulnerability detection frameworks, and comparative analysis of smart contract platforms. Her work combines theoretical analysis with practical tool development for blockchain security.
- Mobilitätsstipendium der TU Wien für hervorragende Dissertation
- Lions-Förderpreis (1989)
Dr. di Angelo has supervised over 50 diploma and master's theses since 2008, with recent supervision focusing primarily on blockchain security, smart contract analysis, and Ethereum vulnerability detection. Her students' work reflects her research trajectory, moving from educational technology topics toward blockchain security in recent years. She has secured research funding from the Austrian Research Promotion Agency (FFG) for projects evaluating educational concepts for MINT promotion. Her DIVS project (2010-2020) represented a long-term research commitment to visualization and simulation of pedestrian behavior at train stations and architectural heritage applications.
Her research extends across multiple domains including the SmartBugs framework for smart contract analysis, Ethereum security research, and applications of blockchain technology in various domains. She maintains active collaborations with researchers in blockchain security and has contributed to the development of tools and methodologies for smart contract analysis.
