Rickard Ewetz

Associate Professor at Electrical Engineering, University of Central Florida0 Followers

Dr. Rickard Ewetz is advancing the conversation in the field of Electrical and Computer Engineering as an Associate Professor at the University of Central Florida. With a Ph.D. in Electrical and Computer Engineering from Purdue University, obtained in 2016, Dr. Ewetz has established himself as a leading researcher in emerging computing paradigms, artificial intelligence, and machine learning. His work also delves deeply into computer-aided design for very large-scale integration (VLSI), a critical area for advancing modern electronics. Dr. Ewetz's research is characterized by its innovative approach to solving complex problems in VLSI design and implementation. His contributions to the field have been recognized through several award nominations, reflecting the impact and quality of his work. Notably, he was nominated for the Best Paper Award at prestigious conferences such as MILCOM 2023, ICCAD 2022, DATE 2021, and ASP-DAC 2019. These nominations underscore his commitment to pushing the boundaries of what is possible in his areas of expertise. In addition to his research, Dr. Ewetz is dedicated to mentoring the next generation of engineers and researchers. He actively engages with students, fostering an environment of curiosity and innovation. His teaching philosophy emphasizes the integration of theoretical knowledge with practical application, preparing students to tackle real-world challenges in the rapidly evolving field of electrical and computer engineering. Dr. Ewetz's work is not only advancing academic knowledge but also has practical implications for industry, particularly in the development of more efficient and powerful computing systems. His research in artificial intelligence and machine learning is paving the way for new technologies that could revolutionize how we interact with machines and process information. Through his dedication to research and education, Dr. Ewetz continues to make significant contributions to the field of electrical and computer engineering, inspiring both his peers and students alike. His ongoing projects and collaborations promise to yield further advancements in technology, maintaining his position as a thought leader in his field.

Research Interests

Emerging computing paradigms Artificial intelligence Machine learning Computer-aided design for VLSI

Publications

1 - Synthesis of Clock Networks with a Mode-Reconfigurable Topology,ACM Transactions on Design Automation of Electronic Systems

Necati Uysal , Rickard Ewetz ,

, 1-22, 2022-03-08

2 - Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision,Proceedings of the AAAI Conference on Artificial Intelligence

Chase Walker , Sumit Jha , Kenny Chen , Rickard Ewetz ,

, 5289-5297, 2024-03-24

3 - Construction of Reconfigurable Clock Trees for MCMM Designs Using Mode Separation and Scenario Compression,ACM Transactions on Design Automation of Electronic Systems

Rickard Ewetz , Cheng-Kok Koh ,

, 1-27, 2016-05-18

4 - Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations,Proceedings of the AAAI Conference on Artificial Intelligence

Sumit Kumar Jha , Rickard Ewetz , Alvaro Velasquez , Arvind Ramanathan , Susmit Jha ,

, 9567-9574, 2022-06-28

5 - Attribution Quality Metrics with Magnitude Alignment,Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence

Chase Walker , Dominic Simon , Kenny Chen , Rickard Ewetz ,

, 530-538, 2024-08-01

6 - ExplainIt!: A Tool for Computing Robust Attributions of DNNs,Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Sumit Jha , Alvaro Velasquez , Rickard Ewetz , Laura Pullum , Susmit Jha ,

, 5916-5919, 2022-07-01

7 - On Smoother Attributions using Neural Stochastic Differential Equations,Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Sumit Jha , Rickard Ewetz , Alvaro Velasquez , Susmit Jha ,

, 522-528, 2021-08-01

8 - A Clock Tree Optimization Framework with Predictable Timing Quality,Proceedings of the 54th Annual Design Automation Conference 2017

Rickard Ewetz ,

, 1-6, 2017-06-18

9 - An OCV-Aware Clock Tree Synthesis Methodology,2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)

Necati Uysal , Rickard Ewetz ,

, 1-9, 2021-11-01

10 - Gradient-based Adversarial Attack Detection via Deep Feature Extraction,SoutheastCon 2022

Andy Michel , Rickard Ewetz ,

, 213-220, 2022-03-26

11 - Towards Resilient Deployment of In-Memory Neural Networks with High Throughput,2021 58th ACM/IEEE Design Automation Conference (DAC)

Baogang Zhang , Rickard Ewetz ,

, 1081-1086, 2021-12-05

12 - Software and Hardware Techniques for Reducing the Impact of Quantization Errors in Memristor Crossbar Arrays,2018 IEEE 36th International Conference on Computer Design (ICCD)

Baogang Zhang , Rickard Ewetz ,

, 195-201, 2018-10-01

13 - OCV guided clock tree topology reconstruction,2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)

Necati Uysal , Rickard Ewetz ,

, 494-499, 2018-01-01

14 - Fast clock scheduling and an application to clock tree synthesis,Integration

Rickard Ewetz , Cheng-Kok Koh ,

, 115-127, 2017-01-01

15 - MCMM clock tree optimization based on slack redistribution using a reduced slack graph,2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC)

Rickard Ewetz , Cheng-Kok Koh ,

, 2016-01-01

16 - Clock Tree Construction based on Arrival Time Constraints,Proceedings of the 2017 ACM on International Symposium on Physical Design

Rickard Ewetz , Cheng-Kok Koh ,

, 67-74, 2017-03-19

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