Gaetano Rossiello
Scholar

Gaetano Rossiello

Google Scholar ID: yEPaB1YAAAAJ
Research Scientist, IBM T.J. Watson Research Center, NY
Artificial IntelligenceNatural Language ProcessingKnowledge Representation
Citations & Impact
All-time
Citations
1,242
 
H-index
15
 
i10-index
17
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, including 'Rationalization Models for Text-to-SQL,' 'Empirical Evidence on Conversational Control of GUI in Semantic Automation,' and more. Holds several U.S. patents, such as 'Keyphrase Generation,' 'Generating Semantic Triplets From Unstructured Text Using Named Entities,' and others.
Research Experience
  • Staff Research Scientist at the IBM Thomas J. Watson Research Center; worked on projects like 'GTS TSS Multi-Vendor Services Transformation,' 'Deep Thinking Question Answering,' and 'AI Recommender.'
Education
  • Ph.D. in Computer Science and Mathematics from the University of Bari 'Aldo Moro' in Italy. His doctoral dissertation, 'Leveraging Distributional and Relational Semantics for Knowledge Extraction from Textual Corpora,' was recognized by the Italian Association for Artificial Intelligence (AIxIA) as the best Ph.D. thesis in AI.
Background
  • Research Scientist at the IBM Thomas J. Watson Research Center, specializing in Natural Language Processing (NLP), Knowledge Representation and Reasoning (KRR), and Machine Learning (ML). His research focuses on advancing the capabilities of AI agentic systems through innovations in large language models (LLMs), multi-modal retrieval-augmented generation (RAG), and automated tool routing. He explores reasoning methodologies across the pre-training, fine-tuning, and inference stages of model development, addressing key challenges in areas such as code generation, data management, information retrieval, question answering, and Text2SQL, with the goal of enhancing knowledge discovery and analytics within enterprise environments.
Miscellany
  • Received several IBM awards, including an Outstanding Research Accomplishment.