Salman Khan

About

I received my Master’s degree in Computer Vision from Sejong University, Seoul, Republic of Korea in 2020 with research in vision-based fire/smoke detection. Currently, I am pursuing PhD degree in Computer Vision (Deep Learning for Modelling Complex Video Activities) from Oxford Brookes University, Oxford, United Kingdom. I am working as a research assistant at Visual Artificial Intelligence Laboratory (VAIL) from February 2020. I have published several papers in well-reputed journals including IEEE IoTJ, TII, Elsevier PRL, and JOCS. I am also serving as a reviewer in reputed journals including IEEE TII and IoTJ. My research interests include Complex Video Actions/Activities Recognition, Fire/Smoke Scene Analysis, Medical Image Analysis, Computer Vision, Deep Learning, Video Surveillance, IoT, and Smart Cities.

Employment

• Oxford Brookes University Research Assistant
  2020 - Present
• Sejong University Research Assistant
  2018 - 2020

Education

• Oxford Brookes University PhD Degree in Computer Vision (Deep Learning for Modelling Complex Video Activities)
  2020 - Present
• Sejong University Master's
  2018 - 2020
• Islamia College University BS Computer Science
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• ROAD: The Road Event Awareness Dataset for Autonomous Driving
  IEEE Transactions on Pattern Analysis and Machine Intelligence 2023 98 citations DOI: 10.1109/TPAMI.2022.3150906
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• Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
  IEEE Transactions on Neural Networks and Learning Systems 2021 404 citations DOI: 10.1109/TNNLS.2020.2995800
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• Vision-based personalized Wireless Capsule Endoscopy for smart healthcare: Taxonomy, literature review, opportunities and challenges
  Future Generation Computer Systems 2020 62 citations DOI: 10.1016/j.future.2020.06.048
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• Efficient Fire Detection for Uncertain Surveillance Environment
  IEEE Transactions on Industrial Informatics 2019 305 citations DOI: 10.1109/TII.2019.2897594
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• Edge Intelligence-Assisted Smoke Detection in Foggy Surveillance Environments
  2019 127 citations DOI: 10.1109/tii.2019.2915592
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• Energy-Efficient Deep CNN for Smoke Detection in Foggy IoT Environment
  2019 191 citations DOI: 10.1109/jiot.2019.2896120
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• Intelligent Baby Behavior Monitoring using Embedded Vision in IoT for Smart Healthcare Centers
  Journal of Artificial Intelligence and Systems 2019 79 citations DOI: 10.33969/ais.2019.11007
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• Multi-grade brain tumor classification using deep CNN with extensive data augmentation
  Journal of Computational Science 2019 897 citations DOI: 10.1016/j.jocs.2018.12.003
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• CNN-based anti-spoofing two-tier multi-factor authentication system
  Pattern Recognition Letters 2018 DOI: https://doi.org/10.1016/j.patrec.2018.02.015
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