World's Best Scientists 2026 revealed!
Michael Jenkin

Michael Jenkin

D-Index & Metrics

Computer Science

D-Index
42
Citations
9031
World Ranking
8276
National Ranking
334

Overview

Michael Jenkin is affiliated with York University in Canada and has contributed extensively to the fields of engineering, computer science, and neuroscience, with a significant focus on subfields such as cognitive neuroscience, electrical and electronic engineering, artificial intelligence, computer vision and pattern recognition, and biomedical engineering.

Jenkin's research spans several main topics, including:

  • Tactile and Sensory Interactions
  • Visual perception and processing mechanisms
  • Advanced Sensor and Energy Harvesting Materials
  • Spaceflight effects on biology
  • Robot Manipulation and Learning
  • Advanced MIMO Systems Optimization
  • Energy Harvesting in Wireless Networks

Their recent papers illustrate a range of applications and venues of publication:

  • "Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning," 2022, published in the 2022 International Conference on Robotics and Automation (ICRA)
  • "Finger-STS: Combined Proximity and Tactile Sensing for Robotic Manipulation," 2022, IEEE Robotics and Automation Letters
  • "Load Balancing for Communication Networks via Data-Efficient Deep Reinforcement Learning," 2021, presented at the 2021 IEEE Global Communications Conference (GLOBECOM)
  • "Virtual and Augmented Reality Direct Ophthalmoscopy Tool: A Comparison between Interactions Methods," 2021, published in Multimodal Technologies and Interaction
  • "Electric Load Forecasting for Individual Households via Spatial-Temporal Knowledge Distillation," 2024, featured in IEEE Transactions on Power Systems

Jenkin has frequently collaborated with colleagues including Gregory Dudek, Laurence R. Harris, Di Wu, Francois R. Hogan, and Xue Liu. The counts of their joint publications range from 7 to 16, indicating ongoing partnerships in multiple research initiatives.

The scholar's work is published in notable venues such as arXiv (Cornell University), npj Microgravity, IEEE Robotics and Automation Letters, ICC 2022 - IEEE International Conference on Communications, and the International Conference on Robotics and Automation (ICRA).

In addition to journal articles and conference papers, Michael Jenkin has authored books published by Cambridge University Press, including:

  • Computational Principles of Mobile Robotics (2024)
  • Visual-vestibular Integration in Challenging Environments (2024)

Best Publications

  • Computational principles of mobile robotics

    Gregory Dudek;Michael Jenkin

  • A Taxonomy for Multi-Agent Robotics*

    Gregory Dudek;Michael R. M. Jenkin;Evangelos E. Milios;David Wilkes

  • Phase-based disparity measurement

    David J. Fleet;Allan D. Jepson;Michael R. M. Jenkin

  • Robotic exploration as graph construction

    G. Dudek;M. Jenkin;E. Milios;D. Wilkes

  • Tolerance of temporal delay in virtual environments

    R.S. Allison;L.R. Harris;M. Jenkin;U. Jasiobedzka

  • AQUA: An Amphibious Autonomous Robot

    G. Dudek;P. Giguere;C. Prahacs;S. Saunderson

  • Visual and non-visual cues in the perception of linear self-motion.

    Laurence R. Harris;Michael Jenkin;Daniel C. Zikovitz

  • A taxonomy for swarm robots

    G. Dudek;M. Jenkin;E. Milios;D. Wilkes

  • The subjective visual vertical and the perceptual upright

    Richard T. Dyde;Michael R. Jenkin;Laurence R. Harris

  • Large-scale, touch-sensitive video display

    Michael Jenkin;John K. Tsotsos

  • Humans can use optic flow to estimate distance of travel

    Fara P Redlick;Michael Jenkin;Laurence R Harris

  • A visually guided swimming robot

    G. Dudek;M. Jenkin;C. Prahacs;A. Hogue

  • Techniques for disparity measurement

    Michael R. M. Jenkin;Allen D. Jepson;John K. Tsotsos

  • AQUA: an aquatic walking robot

    C. Georgiades;A. German;A. Hogue;Hui Liu

  • Travel distance estimation from visual motion by leaky path integration

    Markus Lappe;Michael Jenkin;Laurence R. Harris

  • A Taxonomy of Multirobot Systems

    Gregory Dudek;Michael Jenkin;Lynne E. Parker;Lan Lin

  • Vision and attention

    Laurence R. Harris;Michael Jenkin

  • Spatial vision in humans and robots

    Laurence Harris;Michael Jenkin

  • Simulating self-motion I: Cues for the perception of motion

    Laurence R. Harris;Michael Jenkin;Daniel C. Zikovitz;Fara Redlick

  • The fast computation of disparity from phase differences

    A.D. Jepson;M.R.M. Jenkin

Frequent Co-Authors

Laurence R. Harris
Laurence R. Harris York University
Gregory Dudek
Gregory Dudek McGill University
Evangelos E. Milios
Evangelos E. Milios Dalhousie University
John K. Tsotsos
John K. Tsotsos York University
Allan D. Jepson
Allan D. Jepson University of Toronto
Andrew A. Goldenberg
Andrew A. Goldenberg University of Toronto
Demetri Terzopoulos
Demetri Terzopoulos University of California, Los Angeles
Adam Dubrowski
Adam Dubrowski University of Ontario Institute of Technology
Patrick C. K. Hung
Patrick C. K. Hung University of Ontario Institute of Technology
Martin Buehler
Martin Buehler Boston Dynamics (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees is a smart way to expand your opportunities in the ever-growing tech sector. Many students interested in Computer Science also consider specialized paths like online data science programs, which blend computer science skills with data analytics to prepare graduates for high-demand roles.

If you’re looking to enter the booming construction and project management fields, a construction management degree online is another flexible choice that can be completed from anywhere, often at an accelerated pace. For those seeking broad business knowledge, the most affordable online mba programs offer a pathway to leadership positions, making them ideal for tech professionals aiming to move into management.

Additionally, those wanting to upskill quickly should explore 1 year master's programs. These programs help students earn credentials faster, saving time and resources. Whichever path you choose, online learning offers flexible, career-focused options for expanding your professional potential in computer science and related fields.

Best Scientists Citing Michael Jenkin

Trending Scientists

Recently Published Articles