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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 18 Similar Profiles
Communication Engineering & Materials Science
Electric power utilization Engineering & Materials Science
Electric potential Engineering & Materials Science
Network-on-chip Engineering & Materials Science
Energy utilization Engineering & Materials Science
Flexible electronics Engineering & Materials Science
Electronic equipment Engineering & Materials Science
Routers Engineering & Materials Science

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Research Output 2002 2019

  • 2833 Citations
  • 25 h-Index
  • 53 Conference contribution
  • 29 Article
  • 10 Chapter
  • 1 Patent

A Deep Q-Learning Approach for Dynamic Management of Heterogeneous Processors

Gupta, U., Mandal, S. K., Mao, M., Chakrabarti, C. & Ogras, U., Jan 1 2019, (Accepted/In press) In : IEEE Computer Architecture Letters.

Research output: Contribution to journalArticle

Reinforcement learning
Electric power utilization
1 Citation (Scopus)

An Online Learning Methodology for Performance Modeling of Graphics Processors

Gupta, U., Babu, M., Ayoub, R., Kishinevsky, M., Paterna, F., Gumussoy, S. & Ogras, U., May 24 2018, (Accepted/In press) In : IEEE Transactions on Computers.

Research output: Contribution to journalArticle

Graphics Processors
Performance Modeling
Online Learning
Graphics Processing Unit

Detection mechanisms for unauthorized wireless transmissions

Chang, D., Bhat, G., Ogras, U., Bakkaloglu, B. & Ozev, S., Nov 1 2018, In : ACM Transactions on Design Automation of Electronic Systems. 23, 6, 70.

Research output: Contribution to journalArticle

Computer hardware
Supply chains
Signal processing
4 Citations (Scopus)

Dynamic power budgeting for mobile systems running graphics workloads

Gupta, U., Ayoub, R., Kishinevsky, M., Kadjo, D., Soundararajan, N., Tursun, U. & Ogras, U., Jan 1 2018, In : IEEE Transactions on Multi-Scale Computing Systems. 4, 1, p. 30-40 11 p.

Research output: Contribution to journalArticle

Budget control
Program processors
Electric power utilization

Energy-Optimal Gesture Recognition using Self-Powered Wearable Devices

Park, J., Bhat, G., Geyik, C. S., Lee, H. G. & Ogras, U., Dec 20 2018, 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8584746

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gesture recognition
Equipment and Supplies
Energy harvesting
Energy management

Projects 2014 2022