- Andrea Piergentili, Doctorate in IECS, U. Trento, April 2026. Dissertation: “Towards Gender-Inclusive Machine Translation”.
- Beomseok Lee, Doctorate Program in Industrial Innovation, U. Trento, April 2026. Dissertation: “Multilingual Spoken Language Understanding — Efficient Speech Dataset Collection, Architectural Exploration, and Zero-Shot SLU”. First job after PhD dissertation: GetVocal AI, France.
- Dennis Fucci, Doctorate in IECS, U. Trento, October 2025. Dissertation: “Towards Trustworthy Speech Technologies: Enhancing Explainability and Mitigating Gender Bias in Speech Transcription and Translation”.
- Sara Papi, Doctorate in IECS, U. Trento, April 2024. Dissertation: “Direct Speech Translation in Constrained Contexts: the Simultaneous and Subtitling Scenarios”. First job after PhD dissertation: Post-doctorate at FBK, Italy.
- Beatrice Savoldi, Doctorate in Linguistics, U. Trento and 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 IECS, 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
@mgaido91
: "FlexiSLM: A Dynamic and Controllable Frame Rate Spoken Language Model" by Jiaqi Li, Chaoren Wang, Xiaohai Tian, Mingjie Chen, Xinyu Liang, Xu Li, Yufan Lin, Junwen Qiu, Jun Zhang, Lu Lu, Haizhou Li and @drwuz
#SLM #EfficientInference
Cool to see a work that adaptively chooses at inference how much to compress the input speech sequence, to control inference costs and quality based on the input, without enforcing a global trade-off to each segment: https://arxiv.org/pdf/2606.31247
@fbk_mt
Our pick of the week by
@FBKZhihangXie : "Speech-XL: Towards Long-Form Speech Understanding in Large Speech Language Models" by Haoqin Sun, @Chenyang_Lyu, Shiwan Zhao, Xuanfan Ni, Xiangyu Kong, @wangly0229, Weihua Luo and Yong Qin
#SpeechLLM #LongFormSpeech #SLU
🚀 New paper: Speech-XL for long-form SpeechLLMs
📄 https://arxiv.org/abs/2602.05373
🧩 Uses Speech Summarization Tokens to compress local speech intervals into compact KV states efficiently.
✨ Improves long-form speech understanding while reducing memory and FLOPs on 10-minute audio.
Our pick of the week by
@BeatriceSavoldi
: "Accuracy: Community Perspectives on Machine Translation" by Yujun Wang,
@EhudReiter
, Shimei Pan,
@egere14
and Wei Zhao #MachineTranslation #TranslationQuality #Evaluation
📖 #PickoftheWeek @fbk_mt "Accuracy: Community Perspectives on Machine Translation"
A cool analysis of the conflicting interests of different communities around MT(AI developers, LSPs, and users)
https://arxiv.org/pdf/2606.09655
#NLP #MachineTranslation #DiverseStakeholders