Scholar
Rafael Ferreira
Google Scholar ID: QFv-OiQAAAAJ
PhD Student, Nova School of Science and Technology
Citations & Impact
Citations
76
H-index
6
i10-index
2
Publications
18
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 1. RedTWIZ: Diverse LLM Red Teaming via Adaptive Attack Planning, Amazon NOVA AI Challenge Proceedings, 2025
- 2. Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistants, EMNLP, 2024
- 3. Plan-Grounded Large Language Models for Dual Goal Conversational Settings, EACL, 2024
- 4. TWIZ-v2: The Wizard of Multimodal Conversational-stimulus, Alexa Prize TaskBot Challenge 2 Proceedings, 2023
- 5. Grounded Complex Task Segmentation for Conversational Assistants, SIGDIAL, 2023
- 6. Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow Features, SIGIR, 2023
- 7. TWIZ: A Conversational Task Wizard with Multimodal Curiosity-Exploration, Alexa Prize TaskBot Challenge Proceedings, 2022
- 8. Open-domain conversational search assistants: the Transformer is all you need, Information Retrieval Journal, 2022
- 9. Open-Domain Conversational Search Assistant with Transformers, ECIR, 2021. Top-8 best papers
- 10. iFetch: Multimodal Conversational Agents for the Online Fashion Marketplace, ACM Multimedia, MuCAI Workshop, 2021
- 11. NOVA at TREC 2020 Conversational Assistance Track, TREC CAsT 2020, 2020
Research Experience
- 1. Applied Scientist Intern: Agentic AI research, solving real-world, challenging problems, Seattle, Washington, United States, 2025
- 2. AI, Data Science, and ML Instructor: CMU Portugal Academy, Responsible for the Foundations of Data Science module, focusing on essential principles and applications. Developed and presented both theoretical and practical classes, 2024
Education
- 1. Ph.D. Student: NOVA School of Science and Technology, 2021 - Present, Supervisors: Prof. João Magalhães, Prof. David Semedo
- 2. M.Sc. in Computer Science: NOVA School of Science and Technology, 2018 - 2021, Thesis: Context Tracking in Conversational Search: from Utterances to Neural Embeddings, Supervisors: Prof. João Magalhães, Prof. David Semedo
- 3. B.Sc. in Computer Science: NOVA School of Science and Technology, 2015 - 2018
Background
- Research interests include Conversational Agents, Natural Language Processing, Machine Learning, and Multimodal AI. His research focuses on AI-based conversational assistants, aiming to improve the robustness and human-like behavior of conversational agents.
Co-authors