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LASIGE TALKS: Pavithren (Viren) V S Pakianathan & Bernardo Ferreira

LASIGE Talks are fortnightly/monthly events to publicize recently distinguished publications or ongoing cutting-edge work by researchers from the research centre, consolidating the scientific culture of the LASIGE community.

Speakers: Pavithren (Viren) V S Pakianathan (LMU Munich) and Bernando Ferreira (LASIGE, FCUL)
Date: March 19th, 2025, Wednesday
Where: C6.3.27

Program:
11:45 Pavithren (Viren) V S Pakianathan
12:05 Bernardo Ferreira
12:25 Q&A + Break for snacks & coffee

Talk1: Designing data-enabled tools to bridge tensions between HCPS and Patients for PGHD integration in cardiac rehabilitation
Speaker: Pavithren (Viren) V S Pakianathan
Cardiac rehabilitation (CR) reduces the risk of recurrent cardiac events, with physical activity planning as a key component. Patient-generated health data (PGHD) from wearables could support this process, but integrating PGHD into clinical workflows remains challenging. A situated study with healthy participants and healthcare
professionals (HCP) and a card-sorting workshop with HCPs helped identify data sense making needs. A following study with 5 HCP and 5 CVD patients revealed both alignments and tensions in PGHD use.
Doctors needed concise, reliable data, while patients prioritized safety, actionability, and subjective discussions, leading to misalignment in information needs. We discuss implications for designing healthcare
infrastructure to support PGHD integration in CR pathways.

Talk2: From cyber-criminals to cyber-heroes: the story of how a group of Portuguese Researchers broke the dark web
Speaker: Bernardo Ferreira
This talk is about the paper “Flow Correlation Attacks on Tor Onion Service Sessions with Sliding Subset Sum”, which was presented at NDSS’24. However, instead of focusing on the technical details of the paper, I will present the story behind it: how a group of Portuguese researchers got together and discovered a vulnerability on TOR Onion Services (the so called Dark Web) that allowed de-anonymizing (i.e.,finding the IPs of) both clients and servers communicating through these services with very high precision and recall. This paper took four years to publish (from initial development to publication) and went from being labelled as a “mass surveillance system” to winning multiple prizes and awards.