Left-to-right: Parag, Puneeth, Wei, Behrooz, Mahshad, Thomas, Abishai, and Dr. Zanibbi.
Inside the Lab
Wei, Mahshad and Thomas taking a break, trying out our ping-pong set, Fall 2018.
dprl Potluck
Picture of the food at our first potluck! The dishes originate from China, France, Honduras, India, Iran, Canada and the USA. DPRL carrot art: Behrooz Mansouri.
Math-Aware Search Researchers
SIGIR 2016, Pisa, Italy Left-to-Right: Richard Zanibbi, Kenny Davila, Moritz Schubotz, Iadh Ounis, Bela Gipp, and Lingcai Gao
The dprl and CUBS (Univ. Buffalo) hosted ICFHR 2018 in Niagara Falls, USA. Richard Zanibbi was a Co-Chair; Mahshad Mahdavi, Thomas Choi, and Kenny Davila assisted with running the conference. Details can be found on the ICFHR 2018 website.
ECIR 2019, Cologne, Germany for Structural Similarity Search for Formulas using Leaf-Root Paths in Operator Subtrees by Wei Zhong and Richard Zanibbi
dprl, Spring 2021
rows LR, top-down: Abhisek Dey, Prof. Zanibbi, Matt Langsenkamp, Behrooz Mansouri, Yancarlos Diaz, Robin Avenoso, Ayush Kumar Shah
dprl, May 2022
Left-to-right: Ayush Kumar Shah, Matt Langsenkamp, Richard Zanibbi, Behrooz Mansouri, Abhisek Dey, and JP Ramissini
ICDAR 2023 (San Jose, Aug.)
Dr. Zanibbi was a Program Co-Chair alongside Gernot Fink, Rajiv Jain, and Koichi Kise. Ayush Kumar Shah participated in the Doctoral Consortium and presented his work on recognizing math from images.
ICDAR 2024 (Athens, Greece)
Ayush Kumar Shah presenting his journal track (ICDAR/IJDAR) paper on the ChemScraper born-digital and visual parsers. This work was a collaboration between computer scientists at RIT and chemists at UIUC through the MMLI NSF AI Institute. Paper: Shah, A.K., Amador, B., Dey, A., Creekmore, M., Ocampo, B., Denmark, S. and Zanibbi, R. ChemScraper: leveraging PDF graphics instructions for molecular diagram parsing, IJDAR 27: 395-414.
Math IR Book
Richard Zanibbi, Behrooz Mansouri (dprl alumnus), and Anurag Agarwal published a book in the Foundations and Trends in Information Retrieval series. The book appeared in Jan. 2025 (final version PDF)
(June 5) Congratulations to Bryan Amador, whose paper "Math Formula Graph Retrieval Using Contrastive Learning Over Visual and Semantic Embeddings" has been accepted for publication at ICTIR 2025 (co-located with SIGIR). The paper presents a new approach to formula retrieval using dense embeddings with graph neural networks.
(May 5) Bryan Amador has secured a summer research internship with the startup Linker Finance.
(April 2025) The dprl's systems for math and chemical search were featured in a short talk given by Prof. Zanibbi at the Theory + AI Symposium held at the Perimeter Institute in Waterloo, ON, Canada. Prof. Zanibbi also participated in a panel discussion on processing the data of theoretical physics that included researchers from arXiv and Univ. Bonn.
(April 2025) A dprl + UIUC MMLI demo paper for the ReactionMiner prototype has been accepted for publication at SIGIR 2025 ("Multimodal Search in Chemical Documents and Reactions"). The demo web page provides a video, live demo, and link to code. Congratulations to our dprl co-authors Ayush Kumar Shah, Abhisek Dey, Bryan Amador, and Patrick Philippy.