World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
32
Citations
4213
World Ranking
3156
National Ranking
69

Electronics and Electrical Engineering

D-Index
32
Citations
4124
World Ranking
6335
National Ranking
229

Overview

Dongsuk Kum is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research primarily spans the fields of Engineering and Computer Science, with a focus on the subfields of Automotive Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, and Artificial Intelligence.

The scientist's work is centered on several main topics, including:

  • Advanced Neural Network Applications
  • Autonomous Vehicle Technology and Safety
  • Electric and Hybrid Vehicle Technologies
  • Robotics and Sensor-Based Localization
  • Electric Vehicles and Infrastructure
  • Advanced Battery Technologies Research
  • Video Surveillance and Tracking Methods

Dongsuk Kum has contributed to multiple academic venues, publishing predominantly in:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • Applied Energy
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Access

Frequent collaborators include:

  • Sanmin Kim
  • Jun Won Choi
  • Hyeongseok Jeon
  • Young-Seok Kim
  • Hyeonjun Jeong

Their recent papers reflect a concentration on vehicle technologies, sensor fusion, and autonomous driving systems:

  • "A survey of powertrain configuration studies on hybrid electric vehicles" (2020), Applied Energy
  • "End-to-End Autonomous Driving Through Dueling Double Deep Q-Network" (2021), Automotive Innovation
  • "CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer" (2023), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Autonomous Vehicle Cut-In Algorithm for Lane-Merging Scenarios via Policy-Based Reinforcement Learning Nested Within Finite-State Machine" (2022), IEEE Transactions on Intelligent Transportation Systems
  • "Camera and Radar Sensor Fusion for Robust Vehicle Localization via Vehicle Part Localization" (2020), IEEE Access

Best Publications

  • Economic Analysis of the Dynamic Charging Electric Vehicle

    Seungmin Jeong;Young Jae Jang;Dongsuk Kum

  • Robust control of heterogeneous vehicular platoon with uncertain dynamics and communication delay

    Feng Gao;Shengbo Eben Li;Yang Zheng;Dongsuk Kum

  • $\hbox{Prius}^{+}$ and $\hbox{Volt}^{-}$ : Configuration Analysis of Power-Split Hybrid Vehicles With a Single Planetary Gear

    Xiaowu Zhang;Chiao-Ting Li;Dongsuk Kum;Huei Peng

  • A survey of powertrain configuration studies on hybrid electric vehicles

    Weichao Zhuang;Shengbo Li;Xiaowu Zhang;Dongsuk Kum

  • Optimal adaptation of equivalent factor of equivalent consumption minimization strategy for fuel cell hybrid electric vehicles under active state inequality constraints

    Jihun Han;Youngjin Park;Dongsuk Kum

  • Supervisory Control of Parallel Hybrid Electric Vehicles for Fuel and Emission Reduction

    Dongsuk Kum;Huei Peng;Norman K. Bucknor

  • A comprehensive design methodology of organic Rankine cycles for the waste heat recovery of automotive heavy-duty diesel engines

    Simone Amicabile;Jeong-Ik Lee;Dongsuk Kum

  • Optimal Energy and Catalyst Temperature Management of Plug-in Hybrid Electric Vehicles for Minimum Fuel Consumption and Tail-Pipe Emissions

    Dongsuk Kum;Huei Peng;N. K. Bucknor

  • Collision Risk Assessment Algorithm via Lane-Based Probabilistic Motion Prediction of Surrounding Vehicles

    Jaehwan Kim;Dongsuk Kum

  • Optimal Path Tracking Control of Autonomous Vehicle: Adaptive Full-State Linear Quadratic Gaussian (LQG) Control

    Kibeom Lee;Seungmin Jeon;Heegwon Kim;Dongsuk Kum

  • The multilayer perceptron approach to lateral motion prediction of surrounding vehicles for autonomous vehicles

    Seungje Yoon;Dongsuk Kum

  • Drone-Assisted Disaster Management: Finding Victims via Infrared Camera and Lidar Sensor Fusion

    Seoungjun Lee;Dongsoo Har;Dongsuk Kum

  • CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception

    Unknown

  • Collision Avoidance/Mitigation System: Motion Planning of Autonomous Vehicle via Predictive Occupancy Map

    Kibeom Lee;Dongsuk Kum

  • Charging Automation for Electric Vehicles: Is a Smaller Battery Good for the Wireless Charging Electric Vehicles?

    Seungmin Jeong;Young Jae Jang;Dongsuk Kum;Min Seok Lee

  • Comprehensive Design Methodology of Input- and Output-Split Hybrid Electric Vehicles: In Search of Optimal Configuration

    Hyunjun Kim;Dongsuk Kum

  • End-to-End Autonomous Driving Through Dueling Double Deep Q-Network

    Baiyu Peng;Qi Sun;Shengbo Eben Li;Dongsuk Kum

  • SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network

    Hyeongseok Jeon;Junwon Choi;Dongsuk Kum

  • Control of Engine-Starts for Optimal Drivability of Parallel Hybrid Electric Vehicles

    Dongsuk Kum;Huei Peng;Norman K. Bucknor

  • Simplification of pseudo two dimensional battery model using dynamic profile of lithium concentration

    Paulo Kemper;Shengbo Eben Li;Dongsuk Kum

  • Synthesis of Predictive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles Based on Closed-Form Solution of Optimal Equivalence Factor

    Jihun Han;Dongsuk Kum;Youngjin Park

  • GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image

    Youngseok Kim;Jun Won Choi;Dongsuk Kum

  • Threat prediction algorithm based on local path candidates and surrounding vehicle trajectory predictions for automated driving vehicles

    Jae-Hwan Kim;Dong-Suk Kum

  • Robust multi-lane detection and tracking using adaptive threshold and lane classification

    Yeongho Son;Elijah S. Lee;Dongsuk Kum

  • Deep Learning based Vehicle Position and Orientation Estimation via Inverse Perspective Mapping Image

    Youngseok Kim;Dongsuk Kum

Frequent Co-Authors

Huei Peng
Huei Peng University of Michigan–Ann Arbor
Shengbo Eben Li
Shengbo Eben Li Tsinghua University
Jeong-Ik Lee
Jeong-Ik Lee Korea Advanced Institute of Science and Technology
Ziyou Song
Ziyou Song National University of Singapore
Juan-Carlos Cano
Juan-Carlos Cano Universitat Politècnica de València
Hai L. Vu
Hai L. Vu Monash University

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