Jungkoo Kang

Pronouns

He/Him/His

Title

Research Software Engineer
Jungkoo Kang

Bio

I am a Research Software Engineer at IBM Research AI (https://research.ibm.com/people/jung-koo-kang). Possessing a knowledge of artificial intelligence, machine learning, AI planning, statistics, software engineering, cloud computing, and mathematical modeling, I specialize in crafting innovative systems powered by cutting-edge AI technologies like large language models, agentic systems, and advanced AI planning paradigms.

In 2023, I invented an AI-planning-and-transformer-based API recommender system for multi-agent, conversational AI systems with Tathagata Chakraborti, Michael Katz, and Shirin Sohrabi. This innovation was productized (General Availability) as of December 2023 and is now available in IBM's Watson Orchestrate platform (https://www.ibm.com/products/watsonx-orchestrate/platform).

Previously, at Ford Motor Company, Fordlabs people and I developed a cloud service (RoadCode (City Insight)) to analyze and visualize spatio-temporal, real-time data for transportation safety with Global Data, Insight, and Analytics (GDI&A) team (2nd Place at ’Solving for Safety Visualization Challenge’ by U.S. Department of Transportation (https://www.transportation.gov/solve4safety/solve4safetysubmissions) (https://medium.com/cityoftomorrow/how-ann-arbor-michigan-became-a-living-lab-for-city-mobility-daf93672b5d0) (https://www.fordlabs.com/case-studies/roadcode)).

During my academic years, I have developed various computationally rigorous numerical simulation models and efficient statistical methods for analyzing big data for public health, environmental protection/conservation, and agricultural production. My mathematical models and software have been used to estimate parameters for improving the mechanistic understanding in complex biological phenomena with numerous components.

Throughout my career, I had wonderful opportunities to work with engineers, researchers, managers, and designers with diverse backgrounds. I have learned to facilitate communication in academically and culturally diverse groups.

Projects

Digital Labor for Enterprise Automation

Building a unified Digital Labor platform with conversation, orchestration, and training capabilities.

Top collaborators

JL
Jim Laredo

Jim Laredo

Distinguished Engineer, AI for Automation