George K. Thiruvathukal

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 102

Top Venues

Publications

Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. CoRR (2024)
Purvish Jajal, Wenxin Jiang, Arav Tewari, Joseph Woo, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem. CoRR (2023)
Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. ICSE (2023)
Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajeev Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis
PeaTMOSS: Mining Pre-Trained Models in Open-Source Software. CoRR (2023)
Abhinav Goel, Caleb Tung, Nick Eliopoulos, George K. Thiruvathukal, Amy Wang, Yung-Hsiang Lu, James C. Davis
Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision. IEEE Des. Test 40 (3) (2023)
James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal
Reusing Deep Learning Models: Challenges and Directions in Software Engineering. JVA (2023)
H. Martin Bücker, Jeremiah Corrado, Daniel Fedorin, Diego Garcia-Alvarez, Arturo González-Escribano, John Li, Maria Pantoja, Erik Pautsch, Marieke Plesske, Marcelo Ponce, Silvio Rizzi, Erik Saule, Johannes Schoder, George K. Thiruvathukal, Ramses van Zon, Wolf Weber, David P. Bunde
Peachy Parallel Assignments (EduHPC 2023). SC Workshops (2023)
Xiao Hu, Ziteng Jiao, Ayden Kocher, Zhenyu Wu, Junjie Liu, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge. Computer 56 (8) (2023)
Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. CoRR (2023)
Wenxin Jiang, Chingwo Cheung, George K. Thiruvathukal, James C. Davis
Exploring Naming Conventions (and Defects) of Pre-trained Deep Learning Models in Hugging Face and Other Model Hubs. CoRR (2023)
Isaac Ahlgren, Victor Rakotondranoro, Yasin N. Silva, Eric Chan-Tin, George K. Thiruvathukal, Neil Klingensmith
Userland Containers for Mobile Systems. HotMobile (2023)
Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. MSR (2023)
Isaac Ahlgren, Jack West, Kyuin Lee, George K. Thiruvathukal, Neil Klingensmith
SyncBleed: A Realistic Threat Model and Mitigation Strategy for Zero-Involvement Pairing and Authentication (ZIPA). CoRR (2023)
Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja
Optimized Uncertainty Estimation for Vision Transformers: Enhancing Adversarial Robustness and Performance Using Selective Classification. SC Workshops (2023)
Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer Abuhmed
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems. CoRR (2023)
Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu
An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. CoRR (2023)
Michael Alexander, Sanjukta Bhowmick, Befikir Bogale, Gilberto Díaz, Anne C. Elster, Danielle A. Ellsworth, Carlos Jaime Barrios Hernández, Evan Jaffe, Jack Marquez, Alison Melton, Aashish Pandey, Suzanne Parete-Koon, Nigel Tan, Michela Taufer, Verónica G. Melesse Vergara, Lauren Whitnah, George K. Thiruvathukal
EduHPC Lightning Talk Summary. SC Workshops (2023)
Shane Allcroft, Mohammed Metwaly, Zachery Berg, Isha Ghodgaonkar, Fischer Bordwell, Xinxin Zhao, Xinglei Liu, Jiahao Xu, Subhankar Chakraborty, Vishnu Banna, Akhil Chinnakotla, Abhinav Goel, Caleb Tung, Gore Kao, Wei Zakharov, David A. Shoham, George K. Thiruvathukal, Yung-Hsiang Lu
Observing Human Mobility Internationally During COVID-19. Computer 56 (3) (2023)
Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. CoRR (2023)
Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, James C. Davis
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision. CoRR (2023)
Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal
Automated Discovery of Network Cameras in Heterogeneous Web Pages. ACM Trans. Internet Techn. 22 (1) (2022)
Abhinav Goel, Caleb Tung, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision. ISLPED (2022)
Jakob Veselsky, Jack West, Isaac Ahlgren, George K. Thiruvathukal, Neil Klingensmith, Abhinav Goel, Wenxin Jiang, James C. Davis, Kyuin Lee, Younghyun Kim
Establishing trust in vehicle-to-vehicle coordination: a sensor fusion approach. HotMobile (2022)
Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. ASP-DAC (2022)
Nicholas Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. CoRR (2022)
Yucheng Yang, Jack West, George K. Thiruvathukal, Neil Klingensmith, Kassem Fawaz
Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps. Proc. Priv. Enhancing Technol. 2022 (3) (2022)
Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection. CoRR (2022)
Wenxin Jiang, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, Taylor R. Schorlemmer, George K. Thiruvathukal, James C. Davis
An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain. SCORED@CCS (2022)
Isaac Ahlgren, Jack West, George K. Thiruvathukal, Neil Klingensmith
A universally composable bit generation scheme for zero involvement authentication. HotMobile (2022)
Dario Dematties, Silvio Rizzi, George K. Thiruvathukal, Alejandro Wainselboim
Towards an Active Foveated Approach to Computer Vision. Computación y Sistemas 26 (4) (2022)
Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, Yung-Hsiang Lu, George K. Thiruvathukal
Why Accuracy is Not Enough: The Need for Consistency in Object Detection. IEEE Multim. 29 (3) (2022)
George K. Thiruvathukal, Yung-Hsiang Lu
Efficient Computer Vision for Embedded Systems. Computer 55 (4) (2022)
Yucheng Yang, Jack West, George K. Thiruvathukal, Neil Klingensmith, Kassem Fawaz
Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps. CoRR (2022)
Caleb Tung, Abhinav Goel, Xiao Hu, Nicholas Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. CoRR (2022)
Konstantin Läufer, George K. Thiruvathukal
UnoAPI: Balancing Performance, Portability, and Productivity (P3) in HPC Education. EduHPC@SC (2022)
Nicholas M. Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. ASE (2022)
Caleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. AICAS (2022)
Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. CoRR (2021)
Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. CoRR (2021)
Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal
Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages. CoRR (2021)
Gregory J. Matthews, Karthik Bharath, Sebastian Kurtek, Juliet K. Brophy, George K. Thiruvathukal, Ofer Harel
Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology. Frontiers Appl. Math. Stat. 7 (2021)
Lorena A. Barba, George K. Thiruvathukal
Trustworthy Computational Evidence Through Transparency and Reproducibility. Comput. Sci. Eng. 23 (1) (2021)
Duncan A. Brown, Karan Vahi, Michela Taufer, Von Welch, Ewa Deelman, Lorena A. Barba, George K. Thiruvathukal
Reproducing GW150914: The First Observation of Gravitational Waves From a Binary Black Hole Merger. Comput. Sci. Eng. 23 (2) (2021)
Vishnu Banna, Akhil Chinnakotla, Zhengxin Yan, Anirudh Vegesana, Naveen Vivek, Kruthi Krishnappa, Wenxin Jiang, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors. CoRR (2021)
Jack West, Kyuin Lee, Suman Banerjee, Younghyun Kim, George K. Thiruvathukal, Neil Klingensmith
Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication. CoRR (2021)
Jack West, Kyuin Lee, Suman Banerjee, Younghyun Kim, George K. Thiruvathukal, Neil Klingensmith
Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication. IPSN (2021)
Abhinav Goel, Sarah Aghajanzadeh, Caleb Tung, Shuo-Han Chen, George K. Thiruvathukal, Yung-Hsiang Lu
Modular Neural Networks for Low-Power Image Classification on Embedded Devices. ACM Trans. Design Autom. Electr. Syst. 26 (1) (2021)
Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. ISLPED (2021)
Isha Ghodgaonkar, Abhinav Goel, Fischer Bordwell, Caleb Tung, Sarah Aghajanzadeh, Noah Curran, Ryan Chen, Kaiwen Yu, Sneha Mahapatra, Vishnu Banna, Gore Kao, Kate Lee, Xiao Hu, Nick Eliopolous, Akhil Chinnakotla, Damini Rijhwani, Ashley Kim, Aditya Chakraborty, Mark Daniel Ward, Yung-Hsiang Lu, George K. Thiruvathukal
Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras. CoRR (2020)
Jack West, Tien VoNguyen, Isaac Ahlgren, Iryna Motyashok, George K. Thiruvathukal, Neil Klingensmith
VoltKey: Using Power Line Noise for Zero-Involvement Pairing and Authentication (Demo Abstract). CoRR (2020)
Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu
Low-power object counting with hierarchical neural networks. ISLPED (2020)
Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal
A Survey of Methods for Low-Power Deep Learning and Computer Vision. WF-IoT (2020)
Aditya Chakraborty, Akshay Pawar, Hojoung Jang, Shunqiao Huang, Sripath Mishra, Shuo-Han Chen, Yuan-Hao Chang, George K. Thiruvathukal, Yung-Hsiang Lu
A Real-Time Feature Indexing System on Live Video Streams. COMPSAC (2020)
Isha Ghodgaonkar, Subhankar Chakraborty, Vishnu Banna, Shane Allcroft, Mohammed Metwaly, Fischer Bordwell, Kohsuke Kimura, Xinxin Zhao, Abhinav Goel, Caleb Tung, Akhil Chinnakotla, Minghao Xue, Yung-Hsiang Lu, Mark Daniel Ward, Wei Zakharov, David S. Ebert, David M. Barbarash, George K. Thiruvathukal
Analyzing Worldwide Social Distancing through Large-Scale Computer Vision. CoRR (2020)
Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal
A Survey of Methods for Low-Power Deep Learning and Computer Vision. CoRR (2020)
Ana Trisovic, Chris R. Jones, Ben Couturier, Marco Clemencic, Lorena A. Barba, George K. Thiruvathukal
Provenance Tracking in the LHCb Software. Comput. Sci. Eng. 22 (2) (2020)
Sarah Aghajanzadeh, Roopasree Naidu, Shuo-Han Chen, Caleb Tung, Abhinav Goel, Yung-Hsiang Lu, George K. Thiruvathukal
Camera Placement Meeting Restrictions of Computer Vision. ICIP (2020)
Brook W. Abegaz, Eric Chan-Tin, Neil Klingensmith, George K. Thiruvathukal
Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information. AutomotiveUI (adjunct) (2020)
Jack West, Neil Klingensmith, George K. Thiruvathukal
FLIC: A Distributed Fog Cache for City-Scale Applications. CoRR (2020)
Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu
Low-Power Object Counting with Hierarchical Neural Networks. CoRR (2020)
Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin
Crowdsourcing Detection of Sampling Biases in Image Datasets. WWW (2020)
Olivier Mesnard, Lorena A. Barba, George K. Thiruvathukal
Reproducible Workflow on a Public Cloud for Computational Fluid Dynamics. Comput. Sci. Eng. 22 (1) (2020)
Jack West, Neil Klingensmith, George K. Thiruvathukal
FLIC: A Distributed Fog Cache for City-Scale Applications. ICFC (2020)
Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo
See the World Through Network Cameras. Computer 52 (10) (2019)
Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo
See the World through Network Cameras. CoRR (2019)
George K. Thiruvathukal, Cameron Christensen, Xiaoyong Jin, François Tessier, Venkatram Vishwanath
A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers. CoRR (2019)
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
Low-Power Computer Vision: Status, Challenges, Opportunities. CoRR (2019)
Konstantin Läufer, John O'Sullivan, George K. Thiruvathukal
Tests as maintainable assets via auto-generated spies: a case study involving the scala collections library's iterator trait. SCALA@ECOOP (2019)
Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu
Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions. MIPR (2019)
Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal
Cloud Resource Optimization for Processing Multiple Streams of Visual Data. IEEE Multim. 26 (3) (2019)
Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Alejandro Wainselboim, B. Silvano Zanutto
Towards High-End Scalability on Biologically-Inspired Computational Models. PARCO (2019)
Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver
Use of Software Process in Research Software Development: A Survey. EASE (2019)
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
Low-Power Computer Vision: Status, Challenges, and Opportunities. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (2) (2019)
Ronald I. Greenberg, George K. Thiruvathukal
Exercises Integrating High School Mathematics with Robot Motion Planning. FIE (2019)
Chittayong Surakitbanharn, Calvin Yau, Guizhen Wang, Aniesh Chawla, Yinuo Pan, Zhaoya Sun, Sam Yellin, David S. Ebert, Yung-Hsiang Lu, George K. Thiruvathukal
Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response. CoRR (2019)
Ronald I. Greenberg, George K. Thiruvathukal, Sara T. Greenberg
Integrating Mathematics and Educational Robotics: Simple Motion Planning. RiE (2019)
Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal
Cloud Resource Optimization for Processing Multiple Streams of Visual Data. CoRR (2019)
Ahmed S. Kaseb, Bo Fu, Anup Mohan, Yung-Hsiang Lu, Amy R. Reibman, George K. Thiruvathukal
Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud. MIPR (2018)
George K. Thiruvathukal, Shilpika, Nicholas J. Hayward, Konstantin Läufer
Metrics Dashboard: A Hosted Platform for Software Quality Metrics. CoRR (2018)
Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu
Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions. CoRR (2018)
Jamie Payton, George K. Thiruvathukal
Advancing broadening participation research at RESPECT. ACM SIGCSE Bull. 50 (3) (2018)
Konstantin Läufer, John O'Sullivan, George K. Thiruvathukal
Auto-generated Spies Increase Test Maintainability. CoRR (2018)
Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver
A Survey of Software Metric Use in Research Software Development. eScience (2018)
Ahmed S. Kaseb, Bo Fu, Anup Mohan, Yung-Hsiang Lu, Amy R. Reibman, George K. Thiruvathukal
Analyzing Real-Time Multimedia Content From Network Cameras: Using CPUs and GPUs in the Cloud. CoRR (2018)
Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2018 Low-Power Image Recognition Challenge. CoRR (2018)
Francis Sullivan, Norman Chonacky, Isabel Beichl, George K. Thiruvathukal
Former CiSE EICs Reflect on the Magazines 20th Anniversary. Comput. Sci. Eng. 20 (1) (2018)
Kent Gauen, Ryan Dailey, John Laiman, Yuxiang Zi, Nirmal Asokan, Yung-Hsiang Lu, George K. Thiruvathukal, Mei-Ling Shyu, Shu-Ching Chen
Comparison of Visual Datasets for Machine Learning. IRI (2017)
Lorena A. Barba, George K. Thiruvathukal
Reproducible Research for Computing in Science & Engineering. Comput. Sci. Eng. 19 (6) (2017)
George F. Hurlburt, George K. Thiruvathukal, Maria R. Lee
The Graph Database: Jack of All Trades or Just Not SQL? IT Prof. 19 (6) (2017)
Michael J. Lewis, George K. Thiruvathukal, Venkatram Vishwanath, Michael E. Papka, Andrew E. Johnson
A distributed graph approach for pre-processing linked RDF data using supercomputers. SBD@SIGMOD (2017)
Jamie Payton, Felesia Stukes, George K. Thiruvathukal, Jakita Owensby Thomas
RESPECT '18. ACM SIGCSE Bull. 49 (3) (2017)
Konstantin Läufer, George K. Thiruvathukal
Teaching Concurrent Software Design: A Case Study Using Android. CoRR (2017)
George K. Thiruvathukal
El Fin. Comput. Sci. Eng. 18 (6) (2016)
Tiffany Barnes, Jamie Payton, George K. Thiruvathukal, Kristy Elizabeth Boyer, Jeffrey Forbes
Best of RESPECT, Part 2. Comput. Sci. Eng. 18 (3) (2016)
Tiffany Barnes, Jamie Payton, George K. Thiruvathukal, Kristy Elizabeth Boyer, Jeffrey Forbes
Guest Editors' introduction. Comput. Sci. Eng. 18 (2) (2016)
Tiffany Barnes, George K. Thiruvathukal
The need for research in broadening participation. Commun. ACM 59 (3) (2016)
George K. Thiruvathukal
The Next Generation of Computational Science and Engineering. Comput. Sci. Eng. 17 (1) (2015)
George K. Thiruvathukal
Cloudy with a Chance of Sunshine, or the Future of Magazine Publishing. Comput. Sci. Eng. 17 (6) (2015)
William L. Honig, Konstantin Läufer, George K. Thiruvathukal
A framework architecture for student learning in distributed embedded systems. SIES (2015)
George K. Thiruvathukal
The All-Digital Future and Digital CiSE. Comput. Sci. Eng. 17 (3) (2015)

George K. Thiruvathukal.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

George K. Thiruvathukal