Computer Science

MCS01

Research in Artificial Intelligence Engineering

This course offers an in-depth look at the current research trends and opportunities in High-Performance Computing (HPC), Machine Learning (ML), and Big Data. Students will engage with cutting-edge technologies and methodologies used to address complex computational problems in large-scale data processing, machine learning model optimization, and supercomputing performance tuning. Through collaborative projects, lectures, and case studies, students will develop skills in advanced algorithms, parallel computing architectures, and scalable data solutions. The course emphasizes practical applications in fields like scientific research, finance, healthcare, and AI, and teaches students how to integrate HPC with ML and Big Data to tackle complex, data-driven challenges.

Prerequisites

 ✏︎ Know any programming languages

Upon completion, students will be able to

✔️Understand some of the  hottest  topics in the field of HPC, ML, and Bigdata 

✔️Read and summarize a technical paper from the domain of high-performance computing

✔️Design and implement a system that is reflected in a selected technical paper

✔️ Write technical reports for the implemented system 

✔️ Present the design and implementation of the system to a group of peers 

Sample Projects:

1. AI-Powered Weather Forecast Simulation
   (Developing a high-precision weather forecasting system using AI for more accurate climate predictions and environmental simulations)

2. AI for Biomedical Innovation
   (Using AI technologies like AlphaFold in drug discovery, protein structure prediction, and personalized medicine advancements)

3. Intelligent Search Engine Prototype
   (Prototyping a search engine like Google, Bing, or ChatGPT)

4. Large Language Models (LLMs)-Based Applications (i.e. ChatGPT)  

Examples: Doctor Practice Assistant, Chinese Philosophy & Western Psychology, Early Education, Image Processing, Vision Comprehension, Text-to-Video Generation)

About the Professor

Professor Liu is a faculty member at a flagship university in New Jersey, specializing in powerful hardware resources, e.g., Graphics Processing Unit (GPU), Field-Programmable Gate Array (FPGA), and Solid-State Drive (SSD), to build high-performance systems for graph analytics, machine learning, and numerical methods. 

A distinguished researcher, Professor Liu has been honored with the National Science Foundation (NSF) CAREER Award, which supports young faculty members who demonstrate exceptional potential in research and academia. In 2022, he also received the prestigious IEEE CS TCHPC Early Career Researchers Award for Excellence in High Performance Computing.

Professor Liu has a strong track record of guiding students to success. Under his guidance, his student team won 3rd place at the 2022 Ansary Entrepreneurship Competition (Senior Design) and secured the championship title in the AWS/MIT GraphChallenge Competition in both 2018 and 2019. His research efforts have been supported by over $9 million in federal grants. In addition to his academic accomplishments, Professor Liu is deeply committed to mentoring high school students in research, helping them explore advanced topic