A Taxonomy of Methods, Tools, and Approaches for Enabling Collaborative Annotation
- Joana Souza
- Juliana Jansen Ferreira
- et al.
- 2023
- IHC 2023
Vinícius Segura
Pronouns
He/Him/His
Title
Research Scientist
Bio
Vinícius is a Senior Research Scientist at IBM Research in São Paulo. He joined the lab in 2012 and is now part of the Knowledge-Centric System group, developing the front-end for various solutions and conducting user studies across different themes. His current projects explore AI explainability in different contexts and domains.
He holds D.Sc. and M.Sc. degrees in HCI and a B.Sc. in Computer Engineering, all from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio). His main research interests are human-computer interaction, computer graphics, and information visualization.
Publications
An AI-assisted Workbench for Material Discovery
- 2023
- ACS Fall 2023
Predicting the need for XAI from high-granularity interaction data
- 2023
- Int. J. Hum. Comput. Stud.
Human-AI Co-Creation Approach to Find Forever Chemicals Replacements
- 2023
- CHI 2023
Position Paper on Dataset Engineering to Accelerate Science
- 2023
- AAAI 2023
Knowledge-augmented Risk Assessment (KaRA): a hybrid-intelligence framework for supporting knowledge-intensive risk assessment of prospect candidate
- Carlos Raoni De Alencar Mendes
- Emilio Ashton Vital Brazil
- et al.
- 2023
- AAAI 2023
Toward Human-AI Co-creation to Accelerate Material Discovery
- Dmitry Zubarev
- Carlos Raoni De Alencar Mendes
- et al.
- 2022
- NeurIPS 2022
DevOps and Microservices in Scientific System development: experience on a multi-year industry research project
- Maximillien De Bayser
- Vinícius Segura
- et al.
- 2022
- SAC 2022
Feature selection for reservoir analogues similarity ranking as model-based causal inference
- A. Voskresenskiy
- N. Bukhanov
- et al.
- 2020
- ECMOR 2020
Sketch-based Video&A#58; Storytelling for UX validation in AI design for applied research
- 2020
- CHI EA 2020
Patents
- US
- 11989628
- US
- 10958531
- US
- 10860120
- US
- 10770072
- US
- 10254442
- US
- 9995848
Projects
We're addressing the environmental and human health impact of PFAS ‘forever chemicals’ by accelerating the discovery of sustainable replacements and improved capture materials.
We're developing technological solutions to assist subject matter experts with their scientific workflows by enabling the Human-AI co-creation process.
Top collaborators
RF
Renato Cerqueira
Senior Manager, Knowledge-centric Systems
EA
Emilio Vital Brazil
Senior Research Scientist - Manager AI-Assisted Decision Making
JJ
Juliana Jansen Ferreira
Human-Computer Interaction Research Scientist
KS
Kristin Schmidt
Strategy Assistant for Accelerated Discovery & Vice-Chair of Physical Sciences Council