Keynote speaker at annual "NLP@Michigan" Day, March 11 2025, Compositional Reasoning for Natural Language Comprehension and Grounding Leveraging Neuro-Symbolic AI.

Invited talk, Drexel University, March 4th 2025, Compositional Reasoning for Natural Language Comprehension and Grounding Leveraging Neuro-Symbolic AI.

Invited CLunch talk, March 3rd 2025, University of Pennsylvania, title: Compositional Reasoning for Natural Language Comprehension and Grounding Leveraging Neuro-Symbolic AI.. Watch Video

Invited talk at Stanford Vision and Learning Lab, Title: Compositional Reasoning for Natural Language Comprehension and Grounding Leveraging Neuro-Symbolic AI. June, 2024.

Midwest Machine Learning Symposium (MMLS), Invited Talk, Title: Compositional Reasoning over Natural Language Leveraging Neuro-Symbolic AI, May 21, 2024.

Mila Tea Talks, Invited speaker, Title: Compositional Reasoning for Natural Language Comprehension and Grounding Leveraging Neuro-Symbolic AI, May 17th, 2024.

Keynote speaker at International workshop on Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models, co-located with AAAI 2024, February 26th, 2024, Title: Compositional Reasoning for Natural Language Comprehension and and Grounding Leveraging Neuro-Symbolic AI.

Colorado Boulder CS Colloquium, February 20th, 2024, Title: Compositional Reasoning for Natural Language Comprehension and and Grounding Leveraging Neuro-Symbolic AI.

Keynote speaker at EMNLP-2023's Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics (SpLU-RoboNLP), Dec 6th, 2023. Title: Exploiting Domain Knowledge and Modular Semantics in Deep Learning for Natural Language Comprehension and Grounding.

Keynote speaker at IJCAI-2023's Workshop on Spatio-Temporal Reasoning and Learning (STLR-2023), August 21st, 2023. Title: Spatial and Temporal Reasoning with LLMs for Natural Language Comprehension and Grounding.

Invited talk at University of Vienna, CS Department Seminars, 12th May. 2023, Title: Exploiting Domain Knowledge and Modular Semantics in Deep Learning for Natural Language Comprehension and Grounding.

Invited talk at AI Seminars, University of Michigan, 4th April. 2023, Title: Exploiting Domain Knowledge and Modular Semantics in Deep Learning for Natural Language Comprehension and Grounding.

Invited talk at Graduate School of DataScience, Seoul National University, South Korea, 17th Oct 2022, Title: Exploiting Domain Knowledge and Modular Semantics in Deep Learning for Natural Language Comprehension and Grounding.

Invited talk at Computer Science department, KU Leuven, 30th May 2022, Title: Exploiting Domain Knowledge and Relational Semantic Structures in Deep Learning for Natural Language Understanding. Host: Marie-Francine Moens.

Invited talk at Natural Language processing Seminars, University of Pittsburgh, 24th September 2021, Title: Exploiting Domain Knowledge and Relational Semantic Structures in Deep Learning for Natural Language Understanding. Host: Malihe Alikhani.

Invited talk at Departmental Colloquium University of California Irvine, Computer Science department, Feb 12th 2021, Title: Declarative Learning based Programming for Deep Learning and Reasoning over Natural Language. Host: Sameer Singh.

Invited (remote) talk at Los Alamos National Lab, May 6th 2020, Title: Declarative Learning based Programming for Structured Learning with Unstructured Data.

Invited (remote) talk at Relational AI, April 28th 2020, Title: Declarative Learning-Based Programming as an Interface to AI Systems.

Dagstuhl Seminar, February 27th 2020, Germany, Title: Declarative Learning-Based Programming as an Interface to AI Systems.

Invited talk for Student Chapter of the Association for Women in Mathematics (AWM), April 11th, 2019, Tulane University, Title: "Declarative Learning-based Programming for Learning and Reasoning over Spatial Language".

Invited Seminar for School of Public Health and Tropical Medicine, March 25th, 2019, Tulane University, Title: "Declarative Learning based Programming for Structured Machine Learning with Unstructured Data".

General Departmental Seminar, Monash University, Faculty of Information Technology, Melbourne, Australia. August 29th, 2018.

Keynote talk at GIScience 2018 Workshop on "Corpus in GIScience: Going Beyond Butterfly Collecting", August 28th, 2018, Melbourne, Australia. Title: Corpus-based Spatial Information Extraction from Natural Language.

Departmental Seminar at University at Buffalo-SUNY, CS department. Declarative Learning based Programming for Spatial Language Understanding, March 8th 2018.

Weekly Seminars in Computing and Software, McMaster University, Canada. Declarative Learning based Programming for Structured Machine Learning with Unstructured Data, March 28th, 2017.

Saul: Towards declarative learning based programming, 2015 (Nov 9th), Rising Stars: An Academic Career Workshop for Women, MIT Department of EECS.

Saul: Towards declarative learning based programming, AAAI-2015 fall symposium, The Westin Arlington Gateway, Arlington, Virginia.2015 (Nov 12th).

Declarative Learning Based Programming for Natural Language Processing, Workshop on Replicability and reproducibility in Natural Language Processing: adaptive methods, resources and software, at IJCAI-2015, Buenos Aires, 2015 (Jul 26th).

Structured Learning for Spatial Information Extraction from Biomedical Text. International Workshop on Knowledge Discovery from (Big) Text: Challenges and Opportunities when Mining Biomedical Text, KULeven, Belgium. See the recorded talk here, 2015 (May 18th).

Structured Learning for Spatial Information Extraction from Biomedical Text. University of Illinois at Urbana-Champaign, US, Database Information Systems, (DAIS) weekly seminar, 2015 (April 10th).

Structured Learning for Mapping Natural Language to Spatial Ontologies. University of Illinois at Urbana-Champaign, US, Artificial intelligence and information systems, (AIIS) weekly seminars, 2014 (Jan).

Structured Learning for Mapping Natural Language to Spatial Calculi Models. NIPS-2013 workshop on Knowledge Extraction from Text (KET). Talk as author: See the recorded video here, 2013 (Dec).

Machine Learning for Spatial Language Interpretation. The University of Bremen, Bremen, Germany. Workshop on Machine Learning for Spatial Language Interpretation, 2010.