World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
11327
World Ranking
5062
National Ranking
2351

Overview

Robert P. Dick is affiliated with the University of Michigan-Ann Arbor in the United States. Their research contributions are primarily within the field of Computer Science, with a strong focus on Artificial Intelligence and Computer Vision and Pattern Recognition. They have an extensive publication record that spans areas such as Environmental Engineering, Electrical and Electronic Engineering, and Computer Networks and Communications.

Key research topics addressed in their work include:

  • Topic Modeling
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Explainable Artificial Intelligence (XAI)
  • Gaze Tracking and Assistive Technology
  • Visual Attention and Saliency Detection
  • AI in Service Interactions

Robert P. Dick has contributed to multiple publication venues, most notably:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Computer
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • IEEE Sensors Journal

The following are examples of their recent published papers:

  • "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering," 2022, arXiv (Cornell University)
  • "A Gradient Flow Framework For Analyzing Network Pruning," 2020, arXiv (Cornell University)
  • "Do Smart Glasses Dream of Sentimental Visions?," 2022, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning," 2021, arXiv (Cornell University)
  • "Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground," 2023, Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)

Robert P. Dick frequently collaborates with a set of co-authors, including:

  • Ekdeep Singh Lubana
  • Tun Lu
  • Hidenori Tanaka
  • Mingzhi Dong
  • Qin Lv

These collaborations and publication venues reflect a specialization in both the theoretical and applied aspects of computer science, with relevance to emerging interfaces such as wearable technologies and federated learning systems.

Best Publications

  • Accurate online power estimation and automatic battery behavior based power model generation for smartphones

    Lide Zhang;Birjodh Tiwana;Robert P. Dick;Zhiyun Qian

  • TGFF: task graphs for free

    Robert P. Dick;David L. Rhodes;Wayne Wolf

  • Demo: indoor localization without infrastructure using the acoustic background spectrum

    Stephen P. Tarzia;Peter A. Dinda;Robert P. Dick;Gokhan Memik

  • Temperature-Aware Scheduling and Assignment for Hard Real-Time Applications on MPSoCs

    T. Chantem;X. S. Hu;R. P. Dick

  • MOGAC: a multiobjective genetic algorithm for hardware-software cosynthesis of distributed embedded systems

    R.P. Dick;N.K. Jha

  • The next generation of low-cost personal air quality sensors for quantitative exposure monitoring

    R. Piedrahita;Y. Xiang;N. Masson;J. Ortega

  • Accurate temperature-dependent integrated circuit leakage power estimation is easy

    Yongpan Liu;Robert P. Dick;Li Shang;Huazhong Yang

  • Three-Dimensional Chip-Multiprocessor Run-Time Thermal Management

    Changyun Zhu;Zhenyu Gu;Li Shang;R.P. Dick

  • ARIEL: automatic wi-fi based room fingerprinting for indoor localization

    Yifei Jiang;Xin Pan;Kun Li;Qin Lv

  • Temperature-aware scheduling and assignment for hard real-time applications on MPSoCs

    Thidapat Chantem;Robert P. Dick;X. Sharon Hu

  • C-Pack: A High-Performance Microprocessor Cache Compression Algorithm

    Xi Chen;Lei Yang;Robert P Dick;Li Shang

  • ISAC: Integrated Space-and-Time-Adaptive Chip-Package Thermal Analysis

    Yonghong Yang;Zhenyu Gu;Changyun Zhu;R.P. Dick

  • Power, Thermal, and Reliability Modeling in Nanometer-Scale Microprocessors

    D. Brooks;Robert P. Dick;Russ Joseph;Li Shang

  • Thermal vs Energy Optimization for DVFS-Enabled Processors in Embedded Systems

    Yongpan Liu;Huazhong Yang;R.P. Dick;H. Wang

  • Cache contention and application performance prediction for multi-core systems

    Chi Xu;Xi Chen;Robert P. Dick;Zhuoqing Morley Mao

  • Hallway based automatic indoor floorplan construction using room fingerprints

    Yifei Jiang;Yun Xiang;Xin Pan;Kun Li

  • Adaptive analysis methods

    Li Shang;Yonghong Yang;Robert P. Dick

  • CORDS: hardware-software co-synthesis of reconfigurable real-time distributed embedded systems

    Robert P. Dick;Niraj K. Jha

  • Aggregate Characterization of User Behavior in Twitter and Analysis of the Retweet Graph

    David R. Bild;Yue Liu;Robert P. Dick;Z. Morley Mao

  • MAQS: a personalized mobile sensing system for indoor air quality monitoring

    Yifei Jiang;Kun Li;Lei Tian;Ricardo Piedrahita

  • MOGAC: a multiobjective genetic algorithm for the co-synthesis of hardware-software embedded systems

    Robert P. Dick;Niraj K. Jha

Frequent Co-Authors

Li Shang
Li Shang University of Colorado Boulder
Peter A. Dinda
Peter A. Dinda Northwestern University
Qin Lv
Qin Lv University of Colorado Boulder
Gokhan Memik
Gokhan Memik Northwestern University
Niraj K. Jha
Niraj K. Jha Princeton University
Michael P. Hannigan
Michael P. Hannigan University of Colorado Boulder
Z. Morley Mao
Z. Morley Mao University of Michigan–Ann Arbor
Dan S. Wallach
Dan S. Wallach Rice University
Srimat T. Chakradhar
Srimat T. Chakradhar NEC (United States)
Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame

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