Myrah Naeem

Myrah Naeem

System Software Developer

I am a System Software Engineer and early-career researcher with experience in camera-centric embedded systems, haptics, and AI-driven texture rendering. I have worked for five years as a system and embedded software developer, integrating software with hardware to build high-performance, real-time applications.

My Full CV

Research & Career Interests

  • System and embedded software development (C/C++, Linux, multithreading, performance optimization)
  • ADAS and camera-based perception pipelines (object detection, feature extraction, image pre-processing)
  • Embedded vision systems development on ARM- and GPU-based platforms (including Jetson Nano)
  • API development, migration, and integration for embedded vision and real-time applications
  • Camera-based perception: stereo vision, depth estimation, 2.5D/3D face analysis
  • Haptic texture modeling, multimodal interaction, and XR interface development
  • Generative AI for visual and haptic texture synthesis (text-to-image, text-to-haptic pipelines)
  • Signal processing and time-series analysis for tactile, vibration, and sensor data

Academic Qualifications

    September 2015 - January 2018

  • Master of Science in Computer Engineering, Sejong University

    • January 2011 - January 2015

  • Bachelor of Science in Telecommunication Engineering, COMSATS University

    • June 2007 - June 2009

  • Cambridge GCE Advance Level, The Renaissance School

    • June 2005 - June 2007

  • Cambridge GCE Ordinary Level, The Cathedral School

Professional Experience

    September 2015 - February 2018

  • Research Assistant, Sejong University

    • December 2017 - April 2019

  • System Software Developer, Mediazen

    • March 2020 - March 2021

  • Manager, Softwiz

    • June 2021 - March 2023

  • Senior Software Developer, QuEST Global Korea

    • November 2023 - Present

  • Researcher, Kyung Hee University International Campus

Projects

    Industry Projects

    Smart Agent LG

  • System Software Developer, Mediazen

    • C++

    Qt

    MZ_VoiceHandler_Hybrid (MOBIS)

  • System Software Developer, Mediazen

    • Java

    Android

    AVN5Wide_India_svn (LGE)

  • System Software Developer, Mediazen

    • Java

    Android

    Forex Trading CRM Software

  • Manager, Softwiz

    • MFC

    C++

    Mando ADAS Object Detection

  • Senior Software Developer, QuEST Global Korea

    • C++

    Qt

    TI-SDK

    OpenVX

    MATLAB

    Research Projects

    Text-Driven Generative Framework for Multimodal Visual and Haptic Texture Synthesis

  • Researcher, Kyung Hee University International Campus

    • Python

    PyTorch

    Stable Diffusion

    Signal Processing

    2.5D Pose Invariant Face Recognition Using Stereo Camera

  • Research Assistant, Sejong University

    • C++

    MATLAB

    OpenCV

Publications

Text-Driven Generative Framework for Multimodal Visual and Haptic Texture Synthesis

A novel text-to-haptic generative framework combining Stable Diffusion for visual texture generation, AttributeNet for perceptual attribute prediction, and interpolation-based vibrotactile signal synthesis. The framework improves haptic attribute prediction accuracy and is validated through a user study.

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Preprocessing of 2.5D Facial Images from Stereo Camera

Developed a robust preprocessing pipeline for 2.5D facial depth maps generated from a stereo camera. The method includes median filtering, Laplacian smoothing, hole filling, cropping, and alignment to improve mesh quality, reduce noise, correct depth discontinuities, and prepare the face region for reliable 3D feature extraction and recognition.

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