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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
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Blog Post number 2
Published:
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Blog Post number 1
Published:
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
EvoquerBot: A multimedia chatbot leveraging synthetic data for cross-domain assistance
Published in Amazon Science, 2023
EvoquerBot, developed for the TaskBot challenge, is a multimedia chatbot designed to assist users in completing cooking and DIY tasks within a single session. The bot leverages a coordinated orchestration of submodules for intent classification, task recommendation, task description, and step navigation. This paper addresses the challenges of short development and model training time, data quality in both NLP and multimedia sectors, multimedia response handling, and tailoring the conversation flow to domain-specific user experiences…
Recommended citation: 2023, Penn State University https://www.amazon.science/alexa-prize/proceedings/evoquerbot-a-multimedia-chatbot-leveraging-synthetic-data-for-cross-domain-assistance
Privacy-Preserving Live Video Analytics for Drones via Edge Computing
Published in Applied Sciences, 2024
The use of lightweight drones has surged in recent years across both personal and commercial applications, necessitating the ability to conduct live video analytics on drones with limited computational resources. While edge computing offers a solution to the throughput bottleneck, it also opens the door to potential privacy invasions by exposing sensitive visual data to risks. In this work, we present a lightweight, privacy-preserving framework designed for real-time video analytics. By integrating a novel split-model architecture tailored for distributed deep learning through edge computing, our approach strikes a balance between operational efficiency and privacy. We provide comprehensive evaluations on privacy, object detection, latency, bandwidth usage, and object-tracking performance for our proposed privacy-preserving model.
Recommended citation: Nagasubramaniam, P., Wu, C., Sun, Y., Karamchandani, N., Zhu, S., & He, Y. (2024). Privacy-Preserving Live Video Analytics for Drones via Edge Computing. Applied Sciences, 14(22), 10254. https://doi.org/10.3390/app142210254 https://www.mdpi.com/2076-3417/14/22/10254
Prompting Forgetting: Unlearning in GANs via Textual Guidance
Published in arXiv (Preprint), 2025
State-of-the-art generative models exhibit powerful image-generation capabilities, introducing various ethical and legal challenges to service providers hosting these models. Consequently, Content Removal Techniques (CRTs) have emerged as a growing area of research to control outputs without full-scale retraining. Recent work has explored the use of Machine Unlearning in generative models to address content removal. However, the focus of such research has been on diffusion models, and unlearning in Generative Adversarial Networks (GANs) has remained largely unexplored. We address this gap by proposing Text-to-Unlearn, a novel framework that selectively unlearns concepts from pre-trained GANs using only text prompts, enabling feature unlearning, identity unlearning, and fine-grained tasks like expression and multi-attribute removal in models trained on human faces. Leveraging natural language descriptions, our approach guides the unlearning process without requiring additional datasets or supervised fine-tuning, offering a scalable and efficient solution…
Recommended citation: Nagasubramaniam, P., Karamchandani, N., Wu, C., & Zhu, S. (2025). Prompting Forgetting: Unlearning in GANs via Textual Guidance. https://arxiv.org/abs/2504.01218 https://arxiv.org/pdf/2504.01218
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.