- Beatrice Savoldi, Doctorate in ICT, U. Trento, U. of Augsburg, June 2023. Dissertation: “Gender Bias in Automatic Translation”. First job after PhD dissertation: Post-doctorate at FBK, Italy.
- Marco Gaido, Doctorate in ICT, U. Trento, April 2023. Dissertation: “Direct Speech Translation Toward High-Quality, Inclusive, and Augmented Systems”. First job after PhD dissertation: Post-doctorate at FBK, Italy.
- Alina Karakanta, Doctorate in ICT, U. Trento, October 2022. Dissertation: “Machine Translation for Machines”. First job after PhD dissertation: Assistant Professor, Leiden University, Netherlands.
- Amirhossein Tebbifakhr, Doctorate in ICT, U. Trento, October 2021. Dissertation: “Machine Translation for Machines”. First job after PhD dissertation: VUI Inc., Italy.
- Mattia Antonino Di Gangi, Doctorate in ICT, U. Trento, April 2020. Dissertation: “Neural Speech Translation From Neural Machine Translation to Direct Speech Translation”. First job after PhD dissertation: AppTek, Aachen, Germany.
- Surafel Melaku Lakew, Doctorate in ICT, U. Trento, April 2020. Dissertation: “Multilingual Neural Machine Translation for Low Resource Languages”. First job after PhD dissertation: Amazon, California, U.S.
- Rajen Chatterjee, Doctorate in ICT, U. Trento, October 2019. Dissertation: “Automatic Post-Editing for Machine Translation”. First job after PhD dissertation: research scientist at Apple, California, U.S.
- Duygu Ataman, Doctorate in ICT, U. Trento, September 2019. Dissertation: “Learning Morphology for Open-Vocabulary Neural Machine Translation”. First job after PhD dissertation: postdoctoral researcher at Universität Zürich, Switzerland.
- Ruchit Agrawal, PhD student candidate, Nov 2017-December 2018.
- Mohammad Amin Farajian, Doctorate in ICT, U. Trento, Aprl 2018. Dissertation: “Online Adaptive Neural Machine Translation: from single- to multi-domain scenarios”. First job after PhD dissertation: Unbabel, Lisbon, Portugal.
- Nicholas Ruiz, Doctorate in ICT, U. Trento, April, 2016. Dissertation:”Speech Adaptation Modelling for Statistical Machine Translation”. First job after PhD dissertation: senior scientist at Interaction LLC, USA.
- Prashant Mathur, Doctorate in ICT, U. Trento, April, 2016. Dissertation:”Adaptation Methods for Statistical Machine Translation In Business Scenarios”, First job after PhD dissertation: research scientist at eBay inc. in Aachen, Germany.
- José Guilherme Camargo de Souza, Doctorate in ICT, U. Trento, April, 2016. Dissertation: “Adaptve Quality Estimation for Machine Translation and Automatic Speech Recognition”. First job after PhD dissertation: reserach scientist at eBay inc. in Aachen, Germany.
- Vishal Khadake, former Phd student at HLT-MT.
- Arianna Bisazza, Doctorate in ICT, U. Trento, April, 2013. Dissertation: “Linguistically Motivated Reordering Modeling for Phrase-based Statistical Machine Translation”. First job after PhD dissertation: Post-Doctoral Researcher at the University of Amsterdam.
- Yashar Mehdad, Doctorate in ICT, U. Trento, March 23, 2012. Dissertation: “Cross Lingual Textual Entailment and Applications”. First job after PhD dissertation: ML/NLP scientist at Airbnb, in San Francisco.
- Christian Hardmeier, former PhD student at U. Trento, he left in 2011 to start a PhD program at University of Uppsala, Sweden.
- Daniele Pighin, Doctorate in ICT, U. Trento, May 26, 2010. Dissertation: “Greedy Feature Selection in Tree Kernel Spaces”. After a postdoc at UPC Barcelona he joined Google Inc. in Zurich, Switzerland.
- Dino Seppi, degree obtained: Doctorate in Computer Science, U. Bolzano/Bozen, 2008. “Dissertation: Prosody in Automatic Speech Processing”. After holding a post doctoral position at FBK-irst, Dino moved to Polderland Language & Speech Technology in Nijmegen (NL), then to Leuven University (Belgium) and now he is researcher at Nuance Communications Inc.
- Matteo Gerosa, degree obtained: Doctorate in ICT, U. Trento, Mar 2006. Dissertation: “Automatic Speech Recognition for Children”. After holding post-doc positions at U. of Southern California and at FBK-irst, Matteo joined in 2010 an innovation lab of FBK.
- Nicola Bertoldi, degree obtained: Doctorate in Mathematics, U. Trento, February 2005. Dissertation: “Statistical Models and Search Algorithms for Machine Translation”. Now staff researcher at FBK in the HLT-MT Research Unit.
- Vanessa Sandrini, degree obtained: Doctorate in ICT, U. Trento, Mar 2005. Dissertation: “Systematic Comparison of Maximum Entropy Models for Tagging Problems”. Now at VMEC srl, Verona.
- Vu Hai Quan, degree obtained: Doctorate in ICT, U. Trento, Mar 2005 Dissertation: “Applications of Word Graphs in Spoken Language Processing”. After a post-doc at Katholic University Leuven, he joined University of Science Ho Chi Minh City, Vietnam. He is now associate professor and vice-president for international relationships.
- Laurens Van der Werff, PhD student candidate, Nov 2004-Apr 2005. After leaving FBK, he joined the PhD program at U. of Twente, Netherlands, where he graduated in 2012 and currently holds a post-doctoral position.
Our pick of the week by @DennisFucci: "Speech Representation Analysis Based on Inter- and Intra-Model Similarities" by Yassine El Kheir, Ahmed Ali, and Shammur Absar Chowdhury (ICASSP Workshops 2024)
#speech #speechtech
Findings from https://ieeexplore.ieee.org/document/10669908 show that speech SSL models converge on similar embedding spaces, but via different routes. While overall representations align, individual neurons learn distinct localized concepts.
Interesting read! @fbk_mt
Cosa chiedono davvero gli italiani all’intelligenza artificiale?
FBK in collaborazione con RiTA lancia un’indagine aperta a tutte/i per capire usi reali, abitudini e bisogni.
Bastano 10 minuti per partecipare, scopri di più: https://magazine.fbk.eu/it/news/italiani-e-ia-cosa-chiediamo-veramente-allintelligenza-artificiale/
🚀 Last call for the Model Compression for Machine Translation task at #WMT2025 (co-located with #EMNLP2025)!
Test data out on June 19 ➡️ 2 weeks for evaluation!
Can you shrink an LLM and keep translation quality high?
👉 https://www2.statmt.org/wmt25/model-compression.html #NLP #ML #LLM #ModelCompression
Our pick of the week by @beomseok_lee_: "ALAS: Measuring Latent Speech-Text Alignment For Spoken Language Understanding In Multimodal LLMs" by Pooneh Mousavi, @yingzhi_wang, @mirco_ravanelli, and @CemSubakan (2025)
#SLU #speech #multimodal #LLM
Speech-language models show promise in multimodal tasks—but how well are speech & text actually aligned? 🤔
This paper https://arxiv.org/abs/2505.19937 proposes a new metric to measure layer-wise correlation between the two, with a focus on SLU tasks. 🔍🗣️📄