CV
Download
Download resume here and the full CV here
Education
- Ph.D in Computer and Information Science, University of Pennsylvania, 2021-present
- Research Interests: Natural Language Processing, Computer Vision
- Advisors: Mark Yatskar, Chris Callison-Burch
- MSE in Computer and Information Science, University of Pennsylvania, 2018-2020
- Thesis Title: Metaphor and Entailment: Looking at Metaphors Through the Lense of Textual Entailment
- Advisor: Mitch Marcus
- Dual Degree in Artificial Intelligence, 2015-2020:
- BA (Hons) in Cognitive Science
- Thesis Title: Optical Flow Estimation from Event Based Cameras Using Deep Spiking Neural Networks
- Advisor: Kostas Daniilidis
- BA (Hons) in Philosophy
- Honors Paper Title: On the suitability of Generative Difference Making for addressing challenges in Artificial Intelligence and Robotics
- Advisor: Lisa Miracchi
- BAS in Computer and Cognitive Science, University of Pennsylvania, 2020
- Thesis Title: Best-First-Model-Merge: From Theory to Implementation and Application
- Advisor: Mitch Marcus
- Minor: Mathematics
- Dean’s List (Aug, 2017 - May, 2020)
Experience
- Co-Founder (Aug, 2020 - Aug, 2021)
- Co-founded aarogya.life, an award winning health-tech social enterprise creating a medicine redistribution platform, enabling low-income patients to access essential medicines at extremely affordable prices while preventing wastage of medicines lying unused in warehouses.
- The President’s Engagement Prizes are competitively awarded annually to academically excellent and civically engaged Penn seniors to design and undertake fully-funded local, national, or global engagement projects during the first year after they graduate from Penn.
- Research Assistant (May, 2019- May, 2020)
- General Robotics, Automation, and Sensing (GRASP) Lab, University of Pennsylvania
- Worked on estimating optical flow from event based cameras (supervised and unsupervised) using Spiking Neural Networks.
- Supervisor: Prof. Kostas Daniilidis
- Research Assistant (May, 2019- Aug, 2019)
- Kod*Lab, University of Pennsylvania
- Developed a simulation for physically parameterized soft bellow-shaped robots with multiple degrees of freedom.
- Supervisor: Prof. Daniel Koditschek
- Research Assistant (May, 2018- Oct, 2018)
- Computer and Information Science, University of Pennsylvania
- Implemented Prof. Dana Angluin’s K-reversible inference algorithm and applied it on the synthesis of Turkish morphology.
- Supervisor: Prof. Mitch Marcus
Publications
Kenneth Chaney, Artemis Panagopoulou, Chankyu Lee, Kaushik Roy, and Kostas Daniilidis (2021). "Self-Supervised Optical Flow with Spiking Neural Networks and Event Based Cameras." IROS 2021.
Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch (2021). "Visual Goal-Step Inference using wikiHow." EMNLP 2021.
Yang, Yue, et al. "Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval." arXiv preprint arXiv:2111.09276 (2021)
Panagopoulou, Artemis, et al. "QuakerBot: A household dialog system powered by large language models" Alexa Prize TaskBot Challenge Proceedings (2022)
Yue Yang*, Artemis Panagopoulou*, Marianna Apidianaki, Mark Yatskar, and Chris Callison-Burch (2021). "Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction" Findings of EMNLP 2022.
Teaching
Awards and Funding
- Penn President’s Engagement Prize (May, 2020)
- Faculty Appreciation Award (March, 2019)
Leadership and Activities
- Alexa Taskbot Challenge: Team Co-Lead (Aug, 2021-May, 2022)
- Co-Lead University of Pennsylvania’s Team for the Alexa Taskbot Challenge. We implemented a live Alexa Skill that guides users through tasks and recipes. Our team was one of the five finalists!
- Mind, Intelligence, Research, and Analysis (MIRA) Group (May, 2018 - Aug, 2019)
- Graduate philosophy research and training group focused on issues in philosophy of mind and language, cognitive science, and epistemology led by Professor Lisa Miracchi.
- Ivy League Undergraduate Research Symposium (Jan - Aug, 2018)
- Led an end-to-end application development project aimed to automate networking and scheduling for the symposium.
- Managed team of 3 developers with bi-weekly Agile sprints to build the Android application.
- Designed and built core backend, UI, and testing infrastructure.