Faculty of Artificial Intelligence

  • Home
  • Faculty of Artificial Intelligence

Overview

Faculty of Artificial Intelligence.

Degree: Sarjana Komputer (S.Kom.)

The Artificial Intelligence (AI) Program at UPH is designed to equip students with the foundational knowledge and skills to excel in all aspects of AI, both practical and theoretical. Students will have the opportunity to learn from an international faculty of AI professionals and researchers from China, the US, and other leading countries.

Through strategic partnerships, students will collaborate with industry experts and gain insights from lecturers with real-world experience. The program emphasizes hands-on learning, providing students with the chance to work on AI applications that have a direct business impact.

The curriculum emphasizes a strong mathematical foundation and giving students the opportunity to apply their knowledge through projects or advance technology through research.

View Brochure

What You Will Learn.

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Deep Learning
  • Large Language Models
  • Algorithms in Generative AI
  • Research & Development
  • Internships & Practical Training

Career Opportunities.

  • AI Engineer
  • Data Scientist
  • Machine Learning
  • Engineer
  • Computer Vision
  • Engineer
  • Natural Language
  • Processing (NLP)
  • Engineer
  • AI Product Manager
  • AI Researcher
  • Robotics Engineer

Why Choose Faculty of AI at UPH.

World Class Education
Learn from top-tier experts from China, the US, and other leading tech nations.

International Collaboration & Research Opportunities
with global experts and gain access to groundbreaking AI research.

Guaranteed Job Opportunities Post-graduation
with top AI companies upon graduation.

Hands-on Learning & Real-World Projects
Get hands-on experience working on real-world AI projects that prepare you for industry challenges.

Access to State-of-the-Art AI Labs
Work in AI labs equipped with the latest tools and resources to enhance your skills.

Full Scholarship Opportunity
don’t miss your chance to join our scholarship program!

Connect with Us.

UPH is ready to connect with you. Fill in the form and we will contact you as soon as possible. Or message us through WhatsApp.

Register Button
jurusan di UPH

Lecturer

Research Focus:

    Computer Vision, Medical Image Analysis and Computer Graphics
Keywords:
  • Pre-Training: Self-supervised video representation learning by context and motion decoupling.
  • Knowledge Graph Embedding: A survey of approaches and applications
  • Global and Local Panoramic Views for Gastroscopy: An assisted method of gastroscopic lesion surveillance
Lecturing:
    AI, Data Structure; Deep Learning

Research Focus:

    Interpret architectural structures and generate 3D building models.
Keywords:
  • Facade Parsing with AI: Improved AI's ability to interpret architectural structures.
  • AI Tracking Systems: Built robust tracking models for AI applications.
Lecturing:
    Advanced C++, Reinforcement Learning, Linear Algebra.

Research Focus:

    Fundation model training and visual generative AI.
Keywords:
  • Text-to-Image AI Models: Created Ranni, a system improving AI's ability to generate images from text.
  • Large model training：Developed Tongyi Wanx, Alibaba's foundation model on visual generation.
Lecturing:
    Computer Vision, AI Research Frontiers.

Research Focus:

    Computer vision and generative AI.
Keywords:
  • AI for Panoramic Depth Perception: Created AI tools for better depth estimation.
Lecturing:
    Programming, AI, Image & Video Generation.

Research Focus:

    Computer vision, video processing.
Keywords:
  • GOT-10k: A large AI benchmark for object tracking.
  • BioDrone: AI vision tracking for drones.
Lecturing:
    Image Processing, Deep Learning.

Research Focus:

    Sustainable AI, model compression, edge AI.
Keywords:
  • YouTube-8M: Multimodal video classification project.
  • Neural Network Pruning: Created efficient model compression techniques.
Lecturing:
    Courses on Deep Learning, Linear Algebra at Peking University.

Research Focus:

    Embodied AI and Vision-Language Models.
Keywords:
  • 3D Visual Grounding (3DVG): Developed SeeGround, a model improving 3D object identification in augmented reality.
Lecturing:
    Programming Fundamentals, AI Introduction.

Research Focus:

    AI for psychology and vision tracking.
Keywords:
  • AI-Based Psychological Assessment: Developed intelligent psychological testing tools.
  • AI Tracking for UAVs: Created tracking systems for drones.
Lecturing:
    AI, Calculus, Linear Algebra.

Research Focus:

    AI for e-commerce and computer vision.
Keywords:
  • Livestream Product Recognition: Built AI models for online shopping.
  • Cross-Domain AI Representation: Created tools to unify AI understanding across media.
Lecturing:
    AI, Image Processing, Deep Learning.

Research Focus:

    Object detection and AI for scene text recognition.
Keywords:
  • AI for License Plate Detection: Developed models for better recognition under real-world conditions.
Lecturing:
    C++, AI, Discrete Mathematics.

Research Focus:

    Causal inference and medical AI application.
Keywords:
  • AI for Medical Imaging: Developed AI models for Alzheimer's and polyp detection.
  • Health Prediction Models: Built systems to analyze children's vision development.
Lecturing:
    Calculus, Machine Learning, AI.

Research Focus:

    Role-playing AI agents and large language models.
Keywords:
  • Personality in AI Agents: Developed psychological assessment methods for AI characters.
  • Role-Playing AI Models: Created datasets and frameworks for AI-driven decision-making.
Lecturing:
    AI, Probability & Statistics, Algorithms.

Partner

Academic

RMIT University
La Trobe University
University of Newcastle

Industrial

logo MAP-100-min
Siloam Hospitals
PT Kompas Media Nusantara
PT Bank OCBC NISP Tbk