Team

PhD Students

Mohammad Hossein Khojasteh 2024- Analogical Abstraction	Gabriella Bollici, 2024- Value-aware Reasoning about Memes	Fabian Hoppe, VU Amsterdam, 2023- Robust Autoformalization with LLMs
Bradley P. Allen, University of Amsterdam, 2024- NeSy Knowledge Engineering

Research Assistants

Kaan Aslan, VU Amsterdam, 2024- Knowledge-driven AI for Sustainability

Past

Zhivar Sourati, PhD student, 2022-2024
Cognitively-inspired reasoning methods

Jiarui Zhang, PhD student, 2022-2024
Multimodal AI

Koen Kraaijveld, RA, 2024
Visual lateral thinking

Mehdi Jafari, RA, 2024
LLM-Modulo reasoning

Mohammad Hossein Khojasteh, RA, 2024
Rule induction for educational recommendations

Ruthu H. Rooparaghunath, RA, 2024
Analogical reasoning

Darshan Girish Deshpande, RA, 2022-2024
Active learning with LLMs

Peifeng Wang, PhD, 2020-2023
Commonsense reasoning with knowledge graphs and language models

Prateek Chhikara, RA, 2022-2023
Text-based games with commonsense reasoning

Yifan Jiang, RA, 2022-2023
Procedural reasoning

Vishnu Priya Prasanna Venkatesh, RA, 2022-2023
Logical fallacy identification

Himanshu Rawlani, RA, 2022
Propaganda detection

Thiloshon Nagarajah, RA, 2022
Understanding affordances in procedures

Aravinda Kolla, RA, 2022
Slang representation learning

Abhinav Kumar Thakur, RA, 2022
Meme understanding

Ana Iglesias, PhD intern, 2022
Modeling Temporal Knowledge Graphs

Lucas Zhuang, BS intern, 2022-
Knowledge Graph Fact Verification

Harshit Manektalia, RA, 2022
Dimensional similarity of concepts

Shubham Akhilesh Singh, RA, 2022
Knowledge graph question answering

Jiasheng Gu, RA, 2022
Link prediction with critic language models

Dweepa Honnavali, RA, 2022
Commonsense story generation

Vaibhav Vats, RA, 2022
Entity linking in Wikidata

Sukavanan Nanjundan, RA, 2022
Dimensional similarity of concepts

Jiang Wang, RA, 2021-2022
Link prediction with augmented knowledge graphs

Jiarui Zhang, RA, 2021-2022
Zero-shot commonsense reasoning with knowledge graphs

Bohui Zhang, RA, 2021-2022
Enriching Wikidata with linked open data

Nicholas Klein, RA (USC/ISI Rising star program), 2020-2022
Profiling Wikidata entities and identification of surprising facts

Sara Melotte, Aditya Malte, Linglan Zhang, Namita Mutha, RA (CKIDS program), 2021
Biases in commonsense knowledge sources

Zaina Shaik, RA (NSF REU program), 2021
Biases in factual knowledge graphs

Pushkaraj Jitendra Sarnobat, RA, 2021
Scene graph generation

Kartik Shenoy, RA, 2021-2022
Wikidata quality and concept similarity

Ehsan Qasemi, PhD, 2020-2021
Preconditions of commonsense knowledge

Avijit Thawani, PhD, 2020-2021
Language model numeracy

Bin Zhang, RA, 2020-2021
Organizing commonsense knowledge, and integration with language models

Hanzhi Zhang, RA, 2020-2021
Commonsense story generation and explanation