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ICAPS 2024 Summer School & Conference
I’ve just returned from an exhilarating two weeks at the International Conference on Automated Planning and Scheduling (ICAPS) in Banff, Canada, and what an adventure it was! My journey began at the ICAPS Summer School, where I joined 39 other participants from across the globe. The week-long program treated us to eight invited talks, covering… Continue reading
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Internship at the Naval Research Lab
I’m thrilled to share some exciting news — I’ve been selected to intern this summer at the renowned Naval Research Laboratory (NRL) in Washington DC, as part of their Naval Research Enterprise Internship Program (NREIP)! While there, I will have the opportunity to work on AI planning problems related to Large Language Models (LLMs) alongside… Continue reading
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Workshop Papers Accepted into ICAPS
I’m thrilled to announce that the International Conference on Automated Planning and Scheduling (ICAPS) has accepted not one, but two of my workshop papers for presentation at their conference in June…marking an exciting chapter in my academic journey! The first paper, Reducing Human-Robot Goal State Divergence with Environment Design, will be presented as part of… Continue reading
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2024 AAAI Conference in Vancouver, Canada
In February 2024, I attended my first-ever Association for the Advancement of Artificial Intelligence (AAAI) conference in Vancouver, Canada. It was an eye-opening experience, with sessions covering the latest advancements in AI and its applications. While there, I had the chance to connect with fellow researchers, learning about their work, which covered anything from detecting… Continue reading
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When Text and Speech Are Not Enough Paper
Starting 2024 off on a positive note! Our paper, When Text and Speech are Not Enough: A Multimodal Dataset of Collaboration in a Situated Task, has been accepted into the Journal of Open Humanities Data. This paper explores the nuances of human interactions, emphasizing the limitations of relying solely on speech or text. It introduces… Continue reading
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New Frontiers in Computer Science Paper
Super excited to announce Exploring fMRI RDMs: enhancing model robustness through neurobiological data has been published in the journal, Frontiers in Computer Science. In the paper we preprocess the BOLD5000 (a large functional magnetic resonance imaging (fMRI) dataset) into representational dissimilarity matrices (RDMs), and establish an infrastructure researchers from a variety of backgrounds can use… Continue reading