Computer Science

 

Computer Science

Our faculty are connected to the latest trends in computing practices and research. Research interests range from classical and quantum computing to human-computer interaction to assistive technology to artificial intelligence and speech recognition, and so much more.

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Submissions from 2022

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Understanding Hate Group Videos on YouTube, Shuo Niu, Keegan Veazey, Phoenix Pagan, and Abhisan Ghimire

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Camera Mouse: Sound-Based Activation as a New Approach to Click Generation, Phoenix Pagan, Hanvit Choi, and John Magee

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Input Accessibility: Effect of Input Device on Interaction Time and Accuracy-An Expanded Analysis of a Large Dataset, Linh Pham, Skye Whitlow, Emily Rosenbaum, and John Magee

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Cholula: Fast, Fault-tolerant, and Strongly Consistent Off-chain Object Storage, David Shen, Cole Dumas, Callie Sardina, Lewis Tseng, and Moayad Aloqaily

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Brief Announcement: Computability and Anonymous Storage-Efficient Consensus with an Abstract MAC Layer, Lewis Tseng and Qinzi Zhang

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Reliable Broadcast in Critical Applications: Asset Transfer and Smart Home, Yingjian Wu, Yicheng Shen, Haochen Pan, Lewis Tseng, and Moayad Aloqaily

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Dynamics and allosteric information pathways of unphosphorylated c-Cbl, Tianyi Yang, Li Han, and Shuanghong Huo

Submissions from 2021

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Investigating Multimodal Interactions and Parasocial Attractiveness in YouTube ASMR Videos, Ava Bartolome, Nguyen Binh Ha, and Shuo Niu

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EduPar Virtual Poster Session, Jesus Camara, Jose Carlos Cano, Javier Cuenca, Toshiyuki Maeda, Mariano Saura-Sanchez, Lewis Tseng, Akiyoshi Wakatani, and Martina Barnas

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Enabling Pervasive Federated Learning using Vehicular Virtual Edge Servers, Anran Du, Yicheng Shen, Lewis Tseng, Takamasa Higuchi, Seyhan Ucar, and Onur Altintas

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Practical Experience Report: Cassandra+: Trading-Off Consistency, Latency, and Fault-tolerance in Cassandra, Guo Shu Gao, Kishori Konwar, Juan Mantica, Haochen Pan, Darius Russell Kish, Lewis Tseng, Zezhi Wang, and Yingjian Wu

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Poster: Fault-tolerant Consensus for Connected Vehicles: A Case Study, Thomas Li, Lewis Tseng, Takamasa Higuchi, Seyhan Ucar, and Onur Altintas

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Noise measurement and removal for data streaming algorithms with network applications, Chaoyi Ma, Haibo Wang, Olufemi Odegbile, and Shigang Chen

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Virtual filter for non-duplicate sampling, Chaoyi Ma, Haibo Wang, Olufemi O. Odegbile, and Shigang Chen

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Investigating Drug Addiction Discourse on YouTube, Katherine G. Mckim, Cat Mai, Danielle Hess, and Shuo Niu

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#Stayhome #withme: How do youtubers help with covid-19 loneliness?, Shuo Niu and Ava Bartolome

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#TeamTrees: Investigating How YouTubers Participate in a Social Media Campaign, Shuo Niu, Cat Mai, Katherine G. McKim, and Scott McCrickard

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Rabia: Simplifying State-Machine Replication through Randomization, Haochen Pan, Jesse Tuglu, Neo Zhou, Tianshu Wang, Yicheng Shen, Xiong Zheng, Joseph Tassarotti, Lewis Tseng, and Roberto Palmieri

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Federated Learning in Vehicular Networks: Opportunities and Solutions, Jason Posner, Lewis Tseng, Moayad Aloqaily, and Yaser Jararweh

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Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System, Nataniel Ruiz, Hao Yu, Danielle A. Allessio, Mona Jalal, Ajjen Joshi, Thomas Murray, John J. Magee, Jacob R. Whitehill, Vitaly Ablavsky, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, and Margrit Betke

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Randomized error removal for online spread estimation in data streaming, Haibo Wang, Chaoyi Ma, Olufemi O. Odegbile, Shigang Chen, and Jih Kwon Peir

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A full mirror computation model for edge-cloud computing, Yuanda Wang, Ye Xia, Youlin Zhang, Dimitrios Melissourgos, Olufemi Odegbile, and Shigang Chen

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On Building Modular and Elastic Data Structures with Bulk Operations, Kevin Williams, Joe Foster, Athicha Srivirote, Ahmed Hassan, Joseph Tassarotti, Lewis Tseng, and Roberto Palmieri

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Measuring and Integrating Facial Expressions and Head Pose as Indicators of Engagement and Affect in Tutoring Systems, Hao Yu, Ankit Gupta, Will Lee, Ivon Arroyo, Margrit Betke, Danielle Allesio, Tom Murray, John Magee, and Beverly P. Woolf

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Echo-CGC: A Communication-Efficient Byzantine-Tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network, Qinzi Zhang and Lewis Tseng