World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7285
World Ranking
9256
National Ranking
3939

Electronics and Electrical Engineering

D-Index
39
Citations
7156
World Ranking
4652
National Ranking
1637

Overview

Umit Y. Ogras is affiliated with the University of Wisconsin-Madison in the United States. Their research focuses on areas within computer science and engineering, with a significant number of publications contributing to both fields.

The main subjects of their work include:

  • Computer Science
  • Engineering

More specific subfields in which they have contributed are:

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

Their research frequently covers the following topics:

  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Interconnection Networks and Systems
  • Embedded Systems Design Techniques
  • Distributed and Parallel Computing Systems
  • Energy Harvesting in Wireless Networks

Umit Y. Ogras has coauthored publications with several researchers multiple times, including:

  • Sumit K. Mandal
  • Ganapati Bhat
  • Chaitali Chakrabarti
  • Partha Pratim Pande
  • Janardhan Rao Doppa

The venues where Umit Y. Ogras has frequently published include:

  • arXiv (Cornell University)
  • ACM Transactions on Embedded Computing Systems
  • IEEE Design and Test
  • Sensors
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Selected recent papers illustrate the range of their research interests. These include:

  • "MARS: mmWave-based Assistive Rehabilitation System for Smart Healthcare," 2021, ACM Transactions on Embedded Computing Systems
  • "A Survey on Energy Management for Mobile and IoT Devices," 2020, IEEE Design and Test
  • "w-HAR: An Activity Recognition Dataset and Framework Using Low-Power Wearable Devices," 2020, Sensors
  • "Transfer Learning for Human Activity Recognition Using Representational Analysis of Neural Networks," 2023, ACM Transactions on Computing for Healthcare
  • "Runtime Task Scheduling Using Imitation Learning for Heterogeneous Many-Core Systems," 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Best Publications

  • Outstanding Research Problems in NoC Design: System, Microarchitecture, and Circuit Perspectives

    R. Marculescu;U.Y. Ogras;Li-Shiuan Peh;N.E. Jerger

  • "It's a small world after all": NoC performance optimization via long-range link insertion

    U.Y. Ogras;R. Marculescu

  • Key research problems in NoC design: a holistic perspective

    Radu Marculescu;Jingcao Hu;Umit Y. Ogras

  • On-chip communication architecture exploration: A quantitative evaluation of point-to-point, bus, and network-on-chip approaches

    Hyung Gyu Lee;Naehyuck Chang;Umit Y. Ogras;Radu Marculescu

  • System-Level Buffer Allocation for Application-Specific Networks-on-Chip Router Design

    Jingcao Hu;U.Y. Ogras;R. Marculescu

  • Energy- and Performance-Aware Incremental Mapping for Networks on Chip With Multiple Voltage Levels

    Chen-Ling Chou;U.Y. Ogras;R. Marculescu

  • Voltage-frequency island partitioning for GALS-based networks-on-chip

    Umit Y. Ogras;Radu Marculescu;Puru Choudhary;Diana Marculescu

  • Application-specific network-on-chip architecture customization via long-range link insertion

    U. Y. Ogras;R. Marculescu

  • Design and Management of Voltage-Frequency Island Partitioned Networks-on-Chip

    Umit Y. Ogras;Radu Marculescu;Diana Marculescu;Eun Gu Jung

  • An Analytical Approach for Network-on-Chip Performance Analysis

    U Y Ogras;P Bogdan;R Marculescu

  • Energy- and Performance-Driven NoC Communication Architecture Synthesis Using a Decomposition Approach

    Umit Y. Ogras;Radu Marculescu

  • Analytical router modeling for networks-on-chip performance analysis

    Umit Y. Ogras;Radu Marculescu

  • Prediction-based flow control for network-on-chip traffic

    Umit Y. Ogras;Radu Marculescu

  • In-network monitoring and control policy for DVFS of CMP networks-on-chip and last level caches

    Xi Chen;Zheng Xu;Hyungjun Kim;Paul Gratz

  • Variation-adaptive feedback control for networks-on-chip with multiple clock domains

    Umit Y. Ogras;Radu Marculescu;Diana Marculescu

  • Predictive dynamic thermal and power management for heterogeneous mobile platforms

    Gaurav Singla;Gurinderjit Kaur;Ali K. Unver;Umit Y. Ogras

  • Virtual Channels Planning for Networks-on-Chip

    Ting-Chun Huang;U.Y. Ogras;R. Marculescu

  • Dimensionality reduction and similarity computation by inner-product approximations

    O. Egecioglu;H. Ferhatosmanoglu;U. Ogras

  • Algorithmic Optimization of Thermal and Power Management for Heterogeneous Mobile Platforms

    Ganapati Bhat;Gaurav Singla;Ali K. Unver;Umit Y. Ogras

  • MARS: mmWave-based Assistive Rehabilitation System for Smart Healthcare

    Sizhe An;Umit Y. Ogras

  • Dynamic voltage and frequency scaling for shared resources in multicore processor designs

    Xi Chen;Zheng Xu;Hyungjun Kim;Paul V. Gratz

Frequent Co-Authors

Radu Marculescu
Radu Marculescu The University of Texas at Austin
Michael Kishinevsky
Michael Kishinevsky Intel (United States)
Chaitali Chakrabarti
Chaitali Chakrabarti Arizona State University
Diana Marculescu
Diana Marculescu The University of Texas at Austin
Jae-sun Seo
Jae-sun Seo Cornell University
Yu Cao
Yu Cao University of Minnesota
Partha Pratim Pande
Partha Pratim Pande Washington State University
Jiang Hu
Jiang Hu Texas A&M University
Naehyuck Chang
Naehyuck Chang Korea Advanced Institute of Science and Technology
Umit Ozguner
Umit Ozguner The Ohio State University

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