Junior AI Research Group Lead, TIB Leibniz Information Centre for Science and Technology, Germany
๐ Dr. Jennifer D’Souza, a distinguished researcher in Computer Science and Artificial Intelligence, was recently honored with the coveted Best Researcher Award. Serving as the Junior AI Research Group Lead at TIB Leibniz Information Centre for Science and Technology in Germany ๐ฉ๐ช, Dr. D’Souza has made remarkable contributions to the field. Her innovative work and dedication have significantly advanced the realms of AI and computer science. With a passion for exploration and a commitment to excellence, she continues to push the boundaries of knowledge, inspiring both colleagues and aspiring researchers alike. Dr. D’Souza’s accomplishments stand as a testament to her outstanding expertise and leadership in the field.
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Education
๐ฉโ๐ Dr. Jennifer D’Souza, an accomplished scholar, holds a Ph.D. in Computer Science (2015) and an M.S. in Computer Science (2010) from The University of Texas at Dallas, USA ๐บ๐ธ. Her academic journey began with a Bachelor’s degree in Information Technology (2008) from St. Francis Institute of Technology, India ๐ฎ๐ณ. Dr. D’Souza’s academic pursuits reflect her dedication to the field of computer science, showcasing her commitment to advancing knowledge and expertise. With a strong educational background spanning prestigious institutions across two continents, she brings a wealth of experience and insight to her work in the ever-evolving domain of technology.
Research Experience
๐ฉโ๐ฌ Dr. Jennifer D’Souza has been a pivotal figure in the field of artificial intelligence. Since 2022, she has held the role of Junior AI Research Group Leader at TIB in Hannover, Germany ๐ฉ๐ช. Prior to this, she served as a Postdoctoral Researcher at TIB from 2019 to 2022. Dr. D’Souza’s journey in AI began in 2011 when she started as a Graduate Researcher at the University of Texas at Dallas, USA ๐บ๐ธ, and has since held significant positions such as Postdoctoral Researcher at the University of California, Davis, USA, and Graduate Research Intern at the University of Illinois, Chicago, USA. In 2018, she contributed her expertise as a Data Scientist at Chatterbox Labs Ltd. in Surrey, UK ๐ฌ๐ง.
Professional Activities and Memberships
๐ Dr. Jennifer D’Souza has established herself as a prominent figure in the field of Natural Language Processing (NLP), boasting an impressive array of accomplishments. She served as the organizer of the 2024 LLMs4OL “Large Language Models for Ontology Learning” Shared Task at ISWC 2024. Additionally, Dr. D’Souza led the SimpleText Task4, setting the state-of-the-art in “Tracking the State-of-the-Art in Scholarly Publications” at CLEF 2024. Her editorial roles include being a Topic Editor for “Advances in Structured Information Extraction for Large Language Models” in the Frontiers in Artificial Intelligence journal and a Special Issue Editor for “Information Extraction and Language Discourse Processing” in the Information journal. Furthermore, she contributes as an Editorial Board Member for the “Special Issue on Knowledge Graph Generation from Text” in the Semantic Web journal. Dr. D’Souza’s organizational prowess is evident in her role as the Workshop and Tutorials Chair at the SEMANTiCS 2023 Conference and her involvement in the Workshop Organizing Committee for Text2KG in 2022, 2023, and 2024. In 2021, she orchestrated the NLP Contribution Graph “Structuring Scholarly NLP Contributions in the Open Research Knowledge Graph” Shared Task at Sem Eval 2021, showcasing her dedication and expertise in the field. ๐โจ
Funding
๐ Dr. Jennifer D’Souza, from 2024 to 2026, leads the Hydrant project, “Hybrid Intelligence through Interpretable AI in Machine Perception and Interaction,” funded by Niedersรคchsisches Ministerium for Wissenschaft (Zukunft ND’s), with a total budget of 3M Euro, of which her team contributes 460k Euro. Simultaneously, she is involved in the AWASES initiative, “AI-Aware Pathways to Sustainable Semiconductor Process and Manufacturing Technologies,” from 2024 to 2026, supported by Intel-Merck Cooperation’s USA, with a personal investment of 220k Euro. Dr. D’Souza’s prior project, SCINEXT, “Neural-Symbolic Scholarly Information Extraction,” from 2022 to 2025, funded by the Federal Ministry of Education and Research (BMBF), involved a total investment of 750k Euro. ๐
Honors and Recognitions