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Personal profile


2018 Ph.D., Dongguk University, South Korea.
2011 M.S., Karlstad University, Sweden.
2008 B.S., Comsats University, Pakistan.

Professional Experience

• (2019-present) School of Intelligent Mechatronics Engineering, Sejong University, South Korea. (Assistant Professor)
• (2018-2019) Department of Software, Gachon University, South Korea. (Postdoctoral Researcher)
• (2014-2018) Electronics and Electrical Engineering Department, Dongguk University, South Korea. (Research Assistant)
• (2012-2014) Department of Electrical Engineering, The Superior College, Pakistan. (Senior Lecturer)

Research Interests

• Gaze Classification, Estimation and Tracking, Driver’s behavior and emotion analysis for autonomous cars, ocular regions segmentation for biometrics identification, Machine Vision, Pattern Recognition, Deep Learning, Fuzzy Systems

Major Research Achievements

• Sclera-Net: Accurate sclera segmentation in various sensor images based on residual encoder and decoder network.
• IrisDenseNet: Robust iris segmentation using densely connected fully convolutional networks in the images by visible light and near-infrared light camera sensors.
• Deep learning-based gaze detection system for automobile drivers using a NIR camera sensors


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 12 - Responsible Consumption and Production


Dive into the research topics where Ali Naqvi Rizwan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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