I’m a PhD Intern at Pacific Northwest National Laboratory as part of the National Security Internship Program. I’m also a sixth year PhD candidate and NSF GRFP Fellow at Drexel University where I’m a member of the SPARSE lab, supervised by Dr. Edward Kim, and of the TAIL lab, supervised by Dr. Christopher MacLellan. My primary research interests are in language-vision tasks, neuromorphic computing, and biologically-inspired learning approaches. I recieved my Master’s degree from UNC as a member of the MURGe-Lab.

News

February 2024 - Paper Accepted at ISBI 2024
January 2024 - Paper Accepted at SSIAI 2024
June 2023 - I will be joining Pacific Northwest National Laboratory as part of the National Security Internship Program
October 2023 - Paper Accepted at IAAI 2023
June 2022 - Joined Drexel University as a PhD Student

Publications

Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure
ISBI 2024
Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, and Christopher J. MacLellan

Event-to-Video Conversion for Overhead Object Detection
SSIAI 2024
Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, and Yijing Watkins

MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples
IAAI 2023
Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, and Christopher J. MacLellan

StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
ECCV 2022
Adyasha Maharana, Darryl Hannan, and Mohit Bansal

RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios
NAACL 2022
Xinya Du, Zixuan Zhang, Sha Li, Pengfei Yu, Hongwei Wang, Tuan Lai, Xudong Lin, Ziqi Wang, Iris Liu, Ben Zhou, Haoyang Wen, Manling Li, Darryl Hannan, Jie Lei, Hyounghun Kim, Rotem Dror, Haoyu Wang, Michael Regan, Qi Zeng, Qing Lyu, Charles Yu, Carl Edwards, Xiaomeng Jin, Yizhu Jiao, Ghazaleh Kazeminejad, Zhenhailong Wang, Chris Callison-Burch, Mohit Bansal, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Martha Palmer, and Heng Ji

Improving Generation and Evaluation of Visual Stories via Semantic Consistency
NAACL 2021
Adyasha Maharana, Darryl Hannan, and Mohit Bansal

ManyModalQA: Modality Disambiguation and QA over Diverse Inputs
AAAI 2020
Darryl Hannan, Akshay Jain, and Mohit Bansal

Deep Sparse Coding for Invariant Halle Berry Neurons
CVPR 2018
Edward Kim, Darryl Hannan, and Garrett Kenyon