Current Student Research
Research
autism
deep learning
eye tracking
students
These are ongoing projects as of Summer 2019
Bhagawat Acharya ’20 – Using deep learning for handwriting text recognition.
- This is a collaborative, interdisciplinary project with Katherine Faull (Comparative Humanities and German Studies) and Carrie Pirmann (Research Services Librarian). We are working together to develop an improved handwriting translation pipeline to increase the HTR throughput of 17-18th century Moravian handwritten literature that is part of the Moravian archives.
- Funding – Bucknell Emerging Scholars Summer Research Program
Taehwan Kim ’20 – Using Deep Learning to Forecast Monthly Extreme Temperatures over the United States
- Undoubtedly, climate change is one of most pressing, disconcerting issues of our time. Collaborating with atmospheric science and aerosol science expert Dabrina Dutcher, Assistant Prof. in Chemistry and Chemical Engineering, we are exploring the use of deep learning to develop advanced models that can improve future temperature predictions
- Funding – Katherine Mabis McKenna Environmental Internship
Lily Romano ’20 – Software for Aerosol Analysis
- We are developing a new software toolkit to aid in the aerosol research of my colleagues in Chemical Engineering, Dabrina Dutcher, PhD and Timothy Raymond, PhD. Lily is resuming work that was initiated by former student Khai Nguyen ’18 on the software, including advancing the data analysis tools available for aerosol researchers.
- Funding – Clare Boothe Luce Research Scholars Program
Kartikeya Sharma ’20 – Trajectory Gaze Path Analysis on Eye Tracking Data for Autism Spectrum Disorder Studies
- This is a collaborative project with my colleagues, Vanessa Troiani, PhD and Antoinette Sabatino DiCriscio, PhD at the Geisinger Autism Developmental Medicine Institute. The primary aim is to develop a toolkit for the eye tracking research community that incorporates my novel method for extracting scanpath trends from group-level eye tracking data.
- Funding – Ciffolillo Healthcare Technology Inventors Program
Yili Wang ’21 – Using deep learning to identify discriminative features of images with high interest of autistic children
- This is a collaborative project with my colleague Vanessa Troiani, PhD at Geisinger Autism and Developmental Medicine Institute. This is also a continuation of a project with former student Tongyu Yang `17, who is continuing to assist with the effort
- Funding – Bucknell Program for Undergraduate Research (PUR)
These are projects that are unfinished for a variety of reasons:
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