Speaker

Kushal Pokhrel

Kushal Pokhrel

Bridging Technology & Business with Data, M-Shaped IT Professional, AI/ML Researcher and Lecturer, GDE - Machine Learning

Sydney, Australia

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Kushal Pokhrel is a globally engaged technology leader and applied AI researcher, bridging the domains of network engineering, cybersecurity, and intelligent systems. With a strong foundation in enterprise infrastructure and over five years of industry experience, he architects robust ICT solutions for Australian telecommunications and consulting sectors. Recognized as a Google Developer Expert in Machine Learning, he collaborates with leading researchers and institutions to develop and publish cutting-edge work in computer vision, generative models, and large language models—contributing to journals like Cybernetics and Systems and conferences such as ACIIDS and Springer LNCS. His academic journey, marked by distinction and awards, reflects his deep commitment to knowledge, earning him invitations as a guest speaker and mentor at institutional showcases. Kushal’s project portfolio spans medical AI systems, adversarial security for LLMs, and multimodal model evaluation—merging research precision with practical innovation. As a passionate educator and speaker, he empowers the next generation of data scientists through structured, real-world teaching. Driven by curiosity and purpose, Kushal consistently pushes the boundaries between academic excellence, open innovation, and scalable technological impact.

Area of Expertise

  • Business & Management
  • Government, Social Sector & Education
  • Information & Communications Technology

Topics

  • Deep Learning
  • Computer Vision
  • Large Language Models (LLMs)
  • Health Informatics
  • Information Security

Responsible AI : Ethical Data Preprocessing for Skin Disease Detection in Dermatology

While dealing with the important issue of skin disease detection, our primary goal is to illustrate the necessity of ethical standards for the research problem. We seek to contribute to the image detection and recognition of various classifications of skin diseases while preserving privacy and fairness in healthcare by integrating innovative technology with ethical recommendations for responsible data preprocessing.

Improved Skin Disease Detection with TensorFlow

A wide range of skin conditions affect millions of people worldwide, from severe issues like melanoma to less serious ones like acne. Accurate and prompt diagnosis is essential but challenging. In this session, we'll discuss how we used TensorFlow and other tools to achieve improved accuracy in skin disease detection, leading to the publication of our findings.

We'll cover the basics of our methodology and its potential to enhance global health. Join us to learn more about the exciting advancements in AI-powered healthcare!

Key Points
1. Impact of various skin conditions
2. Importance and challenge of early diagnosis
3. Utilisation of TensorFlow and other tools
4. Overview of our results and methodology

Let's discuss how AI can make a difference in healthcare and health informatics.

Google I/O Extended Brisbane 2024Sessionize Event

July 2024 Brisbane, Australia

Kushal Pokhrel

Bridging Technology & Business with Data, M-Shaped IT Professional, AI/ML Researcher and Lecturer, GDE - Machine Learning

Sydney, Australia

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