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Manolis Nikiforakis is an Associate Professor in the Department of Computer Science at Stony Brook University. His research interests lie in the broad area of systems security, with a specific focus on web security, network security, and privacy. He is known for his work on understanding and mitigating online tracking, analyzing the security of browser extensions, detecting ad fraud, and combating various forms of web-based attacks. Professor Nikiforakis aims to make the web a safer and more trustworthy platform for users by identifying vulnerabilities and developing practical defense mechanisms. His work often involves large-scale measurements and the development of novel tools to analyze complex web ecosystems.
Manolis Nikiforakis's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Received the prestigious National Science Foundation (NSF) CAREER award for his research on 'Exposing and Countering Abuses of Web Functionality for Tracking and Fraud'. This award recognizes early-career faculty who have the potential to serve as academic role models in research and education.
Authored and co-authored numerous highly-cited papers in top-tier security conferences (e.g., IEEE S&P, USENIX Security, ACM CCS, NDSS) that have significantly advanced the understanding of web tracking, ad fraud, browser security, and privacy-enhancing technologies.
Contributed to the development of impactful tools and methodologies for analyzing web security threats, such as systems for detecting cloaking in malicious advertisements (AdAnalyst) and for understanding the landscape of browser fingerprinting.
Successfully mentored PhD students and researchers, guiding them to produce high-quality research contributions in the field of systems and web security, many of whom have gone on to impactful careers in academia and industry.
Queen Mary University of London - Year 2000
Bournemouth University - Year 1997
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WeatherXM is developing a decentralized, community-powered weather network that utilizes Web3 and IoT technologies. Individuals can purchase and deploy WeatherXM-compatible weather stations, collecting hyperlocal weather data. This data is then shared on the network, and station owners are rewarded with the native WXM token. The goal is to create a dense, global network of weather stations providing more accurate and accessible weather information for various applications, from agriculture to insurance and individual use, while giving data ownership back to the community.
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