Bhavya Sehgal

Area of Study / Keywords

Computer Vision Human Pose Estimation Human Motion Analysis Biomedical Image Analysis Machine Learning for Healthcare Deep Learning Human perception and intelligence in multimedia computing Signal analysis

About

I am a PhD student in Computing Science at the University of Alberta, specializing in Computer Vision and Machine Learning. My work focuses on developing practical and reliable deep learning systems for real-world problems, particularly in healthcare and human-centered applications. I am interested in building methods that can bridge the gap between research models and deployable systems used in clinical and industrial environments.

Education

• PhD – Computing Science (Computer Vision & Machine Learning), University of Alberta (Sep 2024 – Present)
  • CGPA: 3.9 / 4.0
  • Focus: Computer Vision, Machine Learning, Human Motion Analysis
• MSc – Computing Science (Multimedia), University of Alberta (Sep 2022 – Dec 2023)
  • CGPA: 3.7 / 4.0
• BTech – Computer Science & Engineering, Guru Nanak Dev University (Jul 2018 – Jul 2022)
  • CGPA: 8.83 / 10

Research

Research Focus

My research lies at the intersection of computer vision, machine learning, and biomedical applications. I primarily work on:

• Human pose estimation and human motion analysis
• Biomedical image analysis and medical AI
• Deep learning methods for healthcare applications
• Robust evaluation and benchmarking of vision models in real-world settings

I am particularly interested in understanding how vision-based models can be made more reliable and generalizable across diverse conditions such as clinical recordings, agricultural environments, and industrial datasets.

Research Experience

I have worked on multiple interdisciplinary projects involving both academic and industry collaborations. My experience includes developing pose estimation-based systems for clinical gait and balance analysis, benchmarking state-of-the-art vision models, and building deep learning pipelines for medical imaging tasks. I have also applied computer vision techniques in agricultural and industrial settings, including object detection, segmentation, and pattern recognition.

Bhavya Sehgal, R. Gandhi, I. Cheng

International Conference on Smart Multimedia (ICSM), Springer Nature Switzerland. 2025 March; 14434 10.1007/978-3-031-82475-3_1