Researcher

Khan Muhammad

Khan Muhammad is an associate professor at Sungkyunkwan University in Seoul, where he directs the Visual Analytics for Knowledge (VIS2KNOW) Laboratory and studies intelligent video surveillance, medical image analysis and information security. After finishing first in his BS program in 2014, he earned a PhD in digital content from Sejong University in 2019 and served there as an assistant professor until 2022. His AI work includes a 2019 SqueezeNet-inspired CNN for detecting and locating fires in surveillance video, a 2021 survey of deep learning for safe autonomous driving, and the 2024 HazeSpace2M dehazing dataset. Clarivate named him a Highly Cited Researcher every year from 2021 to 2024, and Seoul made him an honorary citizen in 2022.

Works
327
Citations
23,424
h-index
80
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2010–2015

    A gold medal and a fellowship

    He completes his 2010–2014 BS program as its first-position holder and gold medalist, and in 2014 he wins a software project competition at City University in Peshawar, Pakistan. In 2015, he receives an MS-leading-to-PhD fellowship award.

  2. 2019

    Fire detection and a Sejong PhD

    He receives his PhD in digital content from Sejong University in February 2019. In July 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems publishes his first-author paper with Jamil Ahmad, Sung Wook Baik and others on an energy-friendly, SqueezeNet-inspired CNN for detecting and localizing fires in surveillance video.

  3. March 2019–February 2022

    Assistant professor at Sejong

    From March 2019 to February 2022, he is a non-tenure-track assistant professor in Sejong University's Department of Software. Sejong University gives him its Outstanding Research Award in 2019.

  4. July 2021

    A survey on safe autonomous driving

    In July 2021, he publishes a survey of deep learning for safe autonomous driving in IEEE Transactions on Intelligent Transportation Systems with Amin Ullah, Jaime Lloret, Javier Del Ser and Victor Hugo C. de Albuquerque. It reviews methods across the driving pipeline, from road, lane, vehicle, pedestrian and drowsiness detection to collision avoidance and traffic sign detection.

  5. 2021–2024

    A Highly Cited Researcher

    Web of Science (Clarivate) recognizes him as a Highly Cited Researcher in 2021, 2022, 2023 and 2024. He becomes an IEEE Senior Member in 2022.

  6. February 2022–August 2024

    Tenure track at Sungkyunkwan

    In February 2022, he joins Sungkyunkwan University in Seoul as a tenure-track assistant professor in the Department of Applied AI, School of Convergence, and holds the post until August 2024. Seoul names him one of 18 foreign residents chosen as honorary citizens in 2022, recognizing the researcher from Pakistan for a scientific breakthrough and a patent for public safety technologies.

  7. 2024–2025

    The HazeSpace2M dataset

    In 2024, he coauthors HazeSpace2M, a dataset of over 2 million images that pairs haze-type classification with specialized dehazers, accepted at ACM Multimedia 2024. His July 2025 keynote at the International Conference on Computational Science and Its Applications covers image enhancement in haze, fog and low light, drawing on HazeSpace2M and the LoLI-Street benchmark.

  8. As of October 2026

    Associate professor at Sungkyunkwan

    He is an associate professor in Sungkyunkwan University's School of Convergence and directs the Visual Analytics for Knowledge (VIS2KNOW) Laboratory. His research covers intelligent video surveillance, medical image analysis, information security and multimedia data analysis.

Career

  1. Since 2022Sungkyunkwan UniversityAssistant professor
  2. 2019–2022Sejong UniversityAssistant professor

Education

  1. 2019Sejong UniversityPhD

Most-cited works

  1. Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence2023 · Information Fusion · 1,744 citationsWith Francisco Herrera
  2. Multi-grade brain tumor classification using deep CNN with extensive data augmentation2018 · Journal of Computational Science · 893 citations
  3. Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features2017 · IEEE Access · 756 citations
  4. Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions2020 · IEEE Transactions on Intelligent Transportation Systems · 660 citations
  5. Early fire detection using convolutional neural networks during surveillance for effective disaster management2017 · Neurocomputing · 558 citations

Sources and credits

Photo: We have no published photo of Khan Muhammad yet. Send us a free-licensed photo.

  1. Awards and Achievements · Khan Muhammad khan-muhammad.github.io. Checked 20 October 2026.
  2. Keynote speakers — The 27th International Conference on Computational Science and Its Applications iccsa.org. Checked 20 October 2026.
  3. Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications - Sungkyunkwan University pure.skku.edu. Checked 20 October 2026.
  4. Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions - Sungkyunkwan University pure.skku.edu. Checked 20 October 2026.
  5. From YouTuber to newspaper columnist, 18 foreign residents become honorary Seoul citizens - The Korea Times koreatimes.co.kr. Checked 20 October 2026.
  6. [2409.17432] HazeSpace2M: A Dataset for Haze Aware Single Image Dehazing arxiv.org. Checked 20 October 2026.
  7. Khan Muhammad - Sungkyunkwan University pure.skku.edu. Checked 20 October 2026.