Waseem Shariff 👨‍💻
Waseem Shariff

Postdoctoral Researcher

I am a postdoctoral researcher at the C3I Laboratory under Professor Peter Corcoran, developing advanced computer vision and machine learning techniques to extract actionable insights from video data. My work spans cognitive computer vision and driver monitoring systems, leveraging both traditional and event-based imaging methods to enhance automotive safety.

Download CV
Education
  • Ph.D. Computer Vision and Electrical & Electronic Engineering

    University of Galway

  • MSc Artificial Intelligence

    University of Galway

  • BE Computer Science Engineering

    Nagarjuna College of Engineering and Technology

📚 My Research

My research examines the convergence of computer vision and machine learning, with a focus on developing novel methodologies for processing, representing, and extracting informative features from complex video data. By integrating conventional imaging approaches with emerging event-based camera technologies, I design algorithms that convert raw video inputs into structured data for subsequent analysis. Additionally, I investigate cognitive computer vision frameworks and contribute to the design of driver monitoring systems aimed at enhancing automotive safety.

Please reach out to collaborate!

Featured Publications
Recent Publications
(2024). Event Cameras in Automotive Sensing: A Review. IEEE Access.
(2024). Event-Stream Super Resolution using Sigma-Delta Neural Network. European Conference of Computer Vision Workshop.
(2024). Spiking-DD: neuromorphic event camera based driver distraction detection with spiking neural network. Irish Machine Vision and Image Processing (IET Conference Proceedings CP887).
(2023). Neuromorphic Driver Monitoring Systems: A Computationally Efficient Proof-of-Concept for Driver Distraction Detection. IEEE Open Journal of Vehicular Technology.
(2023). Real-Time Multi-Task Facial Analytics With Event Cameras. IEEE Access.
Recent & Upcoming Talks
Recent News

ECCV-NeVi Workshop Presentation

Poster Presentation of “Event Stream Super Resolution using Sigma Delta Neural Network”.

Ph.D. Defence!

I successfully defended my Ph.D. thesis titled “Neuromorphic Event-Based Vision - Sparse and Spiking Networks for Efficient Vision Systems”.