World's Best Scientists 2026 revealed!

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Computer Science

D-Index
41
Citations
5906
World Ranking
8947
National Ranking
3805

Overview

Hung Manh La is affiliated with the University of Nevada Reno in the United States. Their research spans multiple areas within engineering and computer science, focusing on robotics applications and infrastructure monitoring.

Their publication record includes papers covering robotics, civil engineering, and intelligent systems. Notable recent papers include:

  • Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms (2020, Sensors)
  • A Climbing Robot for Steel Bridge Inspection (2021, Journal of Intelligent & Robotic Systems)
  • A scalable blockchain based trust management in VANET routing protocol (2021, Journal of Parallel and Distributed Computing)
  • Architecture, Classification, and Applications of Contemporary Unmanned Aerial Vehicles (2021, IEEE Consumer Electronics Magazine)
  • Detection of delamination and rebar debonding in concrete structures with ultrasonic SH-waveform tomography (2021, Automation in Construction)

The scientist frequently collaborates with several authors, including:

  • Adarsh Sehgal
  • Son Thanh Nguyen
  • Habib Ahmed
  • Van Anh Ho
  • Muskan Sehgal

Hung Manh La's work appears often in key journals and conferences such as:

  • arXiv (Cornell University)
  • Sensors
  • IEEE Robotics and Automation Letters
  • Automation in Construction
  • 2022 IEEE/SICE International Symposium on System Integration (SII)

Their main fields of study are Engineering and Computer Science. They have a significant number of publications in the subfields of:

  • Civil and Structural Engineering
  • Artificial Intelligence
  • Control and Systems Engineering
  • Mechanical Engineering
  • Biomedical Engineering

The researcher's primary topics of investigation include:

  • Infrastructure Maintenance and Monitoring
  • Soft Robotics and Applications
  • Robotic Path Planning Algorithms
  • Robotics and Sensor-Based Localization
  • Reinforcement Learning in Robotics
  • Concrete Corrosion and Durability
  • Geophysical Methods and Applications

Best Publications

  • Automated Crack Detection on Concrete Bridges

    Prateek Prasanna;Kristin J. Dana;Nenad Gucunski;Basily B. Basily

  • Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks

    Long Jin;Shuai Li;Hung Manh La;Xin Luo

  • A Comprehensive Review of Smart Wheelchairs: Past, Present, and Future

    Jesse Leaman;Hung Manh La

  • Review of Deep Reinforcement Learning for Robot Manipulation

    Unknown

  • A Robotic Crack Inspection and Mapping System for Bridge Deck Maintenance

    Ronny Salim Lim;Hung Manh La;Weihua Sheng

  • Cooperative and Active Sensing in Mobile Sensor Networks for Scalar Field Mapping

    Hung Manh La;Weihua Sheng;Jiming Chen

  • Multirobot Cooperative Learning for Predator Avoidance

    Hung Manh La;Ronny Salim Lim;Weihua Sheng

  • Distributed Sensor Fusion for Scalar Field Mapping Using Mobile Sensor Networks

    Hung Manh La;Weihua Sheng

  • Developing a crack inspection robot for bridge maintenance

    Ronny Salim Lim;Hung Manh La;Zeyong Shan;Weihua Sheng

  • Dynamic task allocation in multi-robot coordination for moving target tracking: A distributed approach

    Long Jin;Long Jin;Shuai Li;Hung Manh La;Xin Zhang

  • Mechatronic Systems Design for an Autonomous Robotic System for High-Efficiency Bridge Deck Inspection and Evaluation

    Hung M. La;Ronny Salim Lim;Basily B. Basily;Nenad Gucunski

  • A Review of SLAM Techniques and Security in Autonomous Driving

    Unknown

  • A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking

    Huy Xuan Pham;Hung Manh La;David Feil-Seifer;Matthew C. Deans

  • A distributed control framework for a team of unmanned aerial vehicles for dynamic wildfire tracking

    Huy X. Pham;Hung M. La;David Feil-Seifer;Matthew Deans

  • Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms.

    Habib Ahmed;Hung Manh La;Nenad Gucunski

  • Automated Robotic Monitoring and Inspection of Steel Structures and Bridges

    Hung Manh La;Tran Hiep Dinh;Nhan Huu Pham;Quang Phuc Ha

  • Dynamic path planning and replanning for mobile robots using RRT

    Devin Connell;Hung Manh La

  • A Climbing Robot for Steel Bridge Inspection

    Son Thanh Nguyen;Hung Manh La

  • Deep Reinforcement Learning Using Genetic Algorithm for Parameter Optimization

    Adarsh Sehgal;Hung La;Sushil Louis;Hai Nguyen

  • Dynamic target tracking and observing in a mobile sensor network

    Hung Manh La;Weihua Sheng

  • Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage

    Huy Xuan Pham;Hung Manh La;David Feil-Seifer;Aria Nefian

  • Reinforcement Learning for Autonomous UAV Navigation Using Function Approximation

    Huy Xuan Pham;Hung Manh La;David Feil-Seifer;Luan Van Nguyen

  • A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking

    Huy Xuan Pham;Hung Manh La;David Feil-Seifer;Matthew Dean

Frequent Co-Authors

Weihua Sheng
Weihua Sheng Oklahoma State University
Shuai Li
Shuai Li University of Oulu
Kristin J. Dana
Kristin J. Dana Rutgers, The State University of New Jersey
Long Jin
Long Jin Lanzhou University
Jingang Yi
Jingang Yi Rutgers, The State University of New Jersey
Mohammed Atiquzzaman
Mohammed Atiquzzaman University of Oklahoma
Jiming Chen
Jiming Chen Zhejiang University
Ibrahim Khalil
Ibrahim Khalil RMIT University
I-Ming Chen
I-Ming Chen Nanyang Technological University
Xin Luo
Xin Luo Chinese Academy of Sciences

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