Aldo Lipani

Aldo Lipani is a researcher at the E-Commerce Research Area (E194-04) within TU Wien, specializing in information retrieval and search evaluation methodologies. Holding a Dr.techn. doctoral degree, he has maintained consistent research output since 2014 with significant contributions to IR evaluation frameworks.

His educational background includes completing his doctoral thesis titled "On Biases in Information retrieval models and evaluation" at TU Wien in 2018. This foundational work established his research trajectory in evaluation bias and normalization techniques.

Dr. Lipani's research centers on critical evaluation challenges in information retrieval, with particular expertise in bias correction mechanisms, document length normalization, and pooling strategies for test collection construction. His work addresses high-recall search scenarios essential for systematic literature reviews and e-commerce applications, often developing visualization tools like VoMBaT to analyze evaluation measure behavior. Recent publications demonstrate growing focus on transformer model position bias mitigation and contextualized re-ranking approaches.

Analysis of his 15 most recent publications reveals a sustained commitment to improving IR evaluation reliability through methodological innovations. Key trends include the application of fixed-cost pooling strategies to systematic review automation, development of bias correction frameworks, and integration of visualization techniques for evaluation transparency. His work consistently bridges theoretical model improvements with practical applications in academic search and e-commerce contexts.

As an active member of TU Wien's Network Lab within the E-Commerce Research Area, Dr. Lipani collaborates extensively on projects involving search system evaluation, systematic review automation, and e-commerce search technologies. His research group maintains strong connections with international IR communities through regular publications at major conferences.