Chan-Jin Chung

Chan‑Jin Chung (Korean: 정찬진; born January 4, 1959), also known as CJ Chung, is a professor of computer science at Lawrence Technological University (LTU) in Michigan, USA. He is best known for founding Robofest, a global autonomous‑robotics competition, and for his extensive work integrating robotics, artificial intelligence, and STEAM education.

Table of Contents

1. [Early Academic Path and Current Appointment](#early-academic-path-and-current-appointment)
2. [Robofest: From Classroom Idea to International Phenomenon](#robofest)
3. [World Robot Olympiad (WRO) and the WISER Conference](#wro-wiser)
4. [Curriculum Innovation for Connected and Autonomous Vehicles](#cav-curriculum)
5. [Research Portfolio: From Evolutionary Computation to Medical Modelling](#research-portfolio)
6. [Pedagogical Impact: STEAM, Robotics, and Computer‑Science Education](#pedagogical-impact)
7. [Relevance to the Apiary Mission (Optional)](#apiary‑relevance)
8. [Conclusion](#conclusion)
9. [FAQ](#faq)

1. Early Academic Path and Current Appointment <a name="early-academic-path-and-current-appointment"></a>

Chan‑Jin Chung was born on January 4, 1959 in South Korea. While the public record does not detail his early schooling, his later career trajectory shows a deep commitment to both theoretical computer science and hands‑on engineering.

Today he holds a professorship in computer science at Lawrence Technological University (LTU) in Michigan, a private institution known for its emphasis on applied engineering and technology. At LTU, Chung teaches undergraduate and graduate courses, mentors student research teams, and steers departmental initiatives that blend algorithmic theory with real‑world robotics platforms.

His dual identity as a scholar and a competition organizer gives him a unique perspective: he can translate cutting‑edge research into classroom curricula and, conversely, bring classroom challenges to the international stage of robotics contests.

2. Robofest: From Classroom Idea to International Phenomenon <a name="robofest"></a>

2.1 Genesis of the Competition

During the 1999–2000 academic year, Chung founded Robofest, an autonomous‑robotics competition that quickly expanded beyond the confines of a single university laboratory. The competition’s core premise is simple yet powerful: teams design, program, and field robots that must operate without human intervention during a timed challenge.

2.2 Design Philosophy

Robofest distinguishes itself from other robotics contests by emphasizing autonomy over tele‑operation. Participants are required to develop robust perception pipelines, decision‑making algorithms, and fault‑tolerant control loops. The competition therefore serves as a miniature research lab, encouraging students to grapple with real‑world problems such as sensor noise, dynamic obstacle avoidance, and limited computational resources.

2‑3. Growth and International Reach

From its modest beginnings, Robofest has grown into an international event attracting schools, universities, and community groups across North America, Europe, and Asia. The competition’s format—standardized hardware kits paired with open‑source software frameworks—allows organizers worldwide to replicate the experience while preserving a level playing field.

2‑4. Educational Outcomes

Because the competition is built around self‑driving, autonomous behavior, participants acquire experience in:

• Computer vision (object detection, line following)
• Embedded programming (C/C++, Python)
• Systems integration (hardware‑software co‑design)
• Project management (team coordination, documentation)

These skills map directly onto modern industry needs in autonomous vehicles, drone navigation, and industrial automation.

3. World Robot Olympiad (WRO) and the WISER Conference <a name="wro-wiser"></a>

3.1 Founding USA National Organizer for WRO

In 2014 and 2015, Chung served as the founding USA National Organizer of the World Robot Olympiad (WRO). WRO is a global competition that blends robotics with problem‑solving challenges aligned with the United Nations Sustainable Development Goals. By establishing a national structure, Chung helped American teams gain access to a worldwide network of mentors, sponsors, and technical resources.

3.2 Initiating the WISER Conference

The same year, Chung launched the World conference on Integrated STEaM Education through Robotics (WISER). WISER brings together educators, researchers, and industry professionals to discuss how Science, Technology, Engineering, Arts, and Mathematics (STEaM) can be taught synergistically through robotics platforms. The conference’s agenda typically includes:

• Keynote talks on emerging AI and robotics trends
• Workshop sessions where teachers exchange lesson‑plan templates
• Showcase exhibitions of student‑built autonomous systems

WISER has become a recurring venue for disseminating best practices in robotics‑enhanced pedagogy, and it reflects Chung’s belief that artistic creativity (the “A” in STEaM) is essential for nurturing innovative engineers.

4. Curriculum Innovation for Connected and Autonomous Vehicles <a name="cav-curriculum"></a>

4.1 NSF‑Supported Undergraduate Programs

Chung’s work includes the development of undergraduate curricula for Connected and Autonomous Vehicles (CAV), a field that merges vehicular networking, sensor fusion, and AI‑driven decision making. These curricula were supported by the National Science Foundation (NSF), underscoring their alignment with national research and workforce priorities.

4.2 Core Course Elements

Typical modules in the CAV curriculum, as shaped by Chung’s design principles, cover:

• Vehicle‑to‑Vehicle (V2V) and Vehicle‑to‑Infrastructure (V2I) communications
• Perception algorithms for lidar, radar, and camera data
• Control theory for trajectory planning and stability
• Ethical and regulatory frameworks governing autonomous deployment

By embedding these topics in a hands‑on laboratory environment, students graduate with a portfolio of projects that demonstrate real‑world competence, rather than purely theoretical knowledge.

5. Research Portfolio: From Evolutionary Computation to Medical Modelling <a name="research-portfolio"></a>

Chan‑Jin Chung’s scholarly interests span a broad spectrum of intelligent systems. Below is a thematic overview of his research domains, each of which has produced peer‑reviewed publications, conference presentations, and collaborative projects.

5.1 Evolutionary Computation & Cultural Algorithms

• Evolutionary computation explores how population‑based search techniques—such as genetic algorithms and evolution strategies—can optimize complex, multimodal problems.
• Cultural algorithms extend this paradigm by incorporating a “belief space” that captures shared knowledge, allowing the evolutionary process to be guided by socially learned norms.

Chung’s contributions in these areas focus on hyper‑parameter optimization for deep learning models, a technique that automatically tunes network architecture, learning rates, and regularization parameters.

5.2 Intelligent Systems & Autonomous Mobile Robotics

Research on autonomous mobile robotics includes developing navigation stacks that fuse sensor data, path‑planning heuristics, and real‑time obstacle avoidance. Chung’s work often leverages self‑driving cloud laboratories, where remote users can upload code to be executed on physical robots housed in a centralized facility. This model democratizes access to high‑quality hardware while providing reproducible experimental conditions.

5.3 Software Engineering & Machine Learning

In the software engineering realm, Chung investigates methodologies for building reliable, maintainable AI systems. His studies examine continuous integration pipelines for machine‑learning models, emphasizing reproducibility and version control of data, code, and trained weights.

5.4 Evolutionary Deep Learning (Hyper‑Parameter Optimization)

Combining his evolutionary expertise with deep learning, Chung has pioneered evolutionary deep learning, wherein evolutionary algorithms search the space of network hyper‑parameters. This approach reduces reliance on manual trial‑and‑error and can discover novel architectures that outperform hand‑crafted designs.

5.5 Modelling Medical Systems: Cardiopulmonary Bypass Machines

A notable interdisciplinary foray involves modelling cardiopulmonary bypass (CPB) machines, critical devices used during cardiac surgery. By constructing computational models of CPB dynamics, Chung’s research aims to predict system behavior under varying physiological conditions, supporting safer clinical protocols.

5.6 Computer‑Science Education & Educational Robotics

Beyond technical research, Chung is an advocate for computer‑science education, especially through educational robotics. He has authored curricula that integrate robotics projects into K‑12 classrooms, thereby exposing younger students to algorithmic thinking, debugging, and collaborative engineering early in their academic journeys.

6. Pedagogical Impact: STEAM, Robotics, and Computer‑Science Education <a name="pedagogical-impact"></a>

6.1 Integrating Arts into Engineering

One of Chung’s signature philosophies is the inclusion of the arts within the traditionally STEM‑focused curriculum. By encouraging students to design aesthetically compelling robots, he fosters creativity, user‑centered design, and communication skills—attributes that are increasingly valued in interdisciplinary engineering teams.

6.2 Project‑Based Learning (PBL)

Robofest, WRO, and the CAV labs all embody project‑based learning: students identify a problem, prototype a solution, iterate based on testing, and present their results. This cycle mirrors professional engineering workflows and helps bridge the gap between academic theory and industry practice.

6.3 Scaling Impact Through Open Resources

Chung’s commitment to open‑source tools and freely available lesson plans has allowed educators worldwide to adopt his modules without prohibitive cost barriers. The self‑driving cloud laboratory model, for instance, lets schools without a robotics lab still run experiments on real hardware, thereby scaling access to advanced robotics education.

7. Relevance to the Apiary Mission (Optional) <a name="apiary-relevance"></a>

Apiary’s core mission centers on bee conservation and the development of self‑governing AI agents that can monitor and protect pollinator ecosystems. While Chan‑Jin Chung’s portfolio does not directly involve apiculture, several of his research themes intersect conceptually with Apiary’s objectives:

• Autonomous mobile robotics: Drones and ground robots equipped with AI can be deployed to survey hive health, map flowering patterns, or detect pesticide exposure.
• Self‑driving cloud laboratories: A cloud‑based platform could allow researchers to test AI models for bee‑behavior prediction on real hardware before field deployment.
• Evolutionary deep learning: Optimizing hyper‑parameters for models that classify bee sounds or image data could benefit from the evolutionary strategies championed by Chung.

Thus, while there is no documented collaboration, the methodological foundations laid by Chung provide a technical toolbox that Apiary could leverage in future projects.

8. Conclusion <a name="conclusion"></a>

Chan‑Jin Chung stands at the intersection of academic research, educational innovation, and global robotics competition. From founding Robofest—a competition that has shaped the learning pathways of thousands of students—to orchestrating the World Robot Olympiad in the United States and launching the WISER conference, his influence extends far beyond the lecture hall.

His research portfolio, spanning evolutionary computation, autonomous robotics, software engineering, deep‑learning optimization, and medical system modelling, reflects a commitment to solving complex, interdisciplinary problems with rigor and creativity. The curricula he has built for Connected and Autonomous Vehicles, supported by the National Science Foundation, equip the next generation of engineers with the knowledge required to navigate a rapidly automating world.

Through a blend of hands‑on project work, open‑source dissemination, and STEAM‑centric pedagogy, Chung demonstrates how a single educator can catalyze systemic change across educational institutions, industry partners, and international competition communities. His legacy is a testament to the power of integrated learning environments—where theory meets practice, and where students become creators of autonomous systems that will shape the future.

FAQ <a name="faq"></a>

When was Robofest founded and what is its primary focus? Robofest was founded during the 1999–2000 academic year by Chan‑Jin Chung. Its primary focus is an international autonomous‑robotics competition that requires teams to design and program robots capable of operating without human control during timed challenges.

What roles did Chan‑Jin Chung hold in the World Robot Olympiad and the WISER conference? Chung served as the founding USA National Organizer of the World Robot Olympiad (WRO) in 2014 and 2015, and he initiated the World conference on Integrated STEaM Education through Robotics (WISER) in 2014.

Which research areas does Chan‑Jin Chung specialize in? His research spans evolutionary computation, cultural algorithms, intelligent systems and autonomous mobile robotics, self‑driving cloud laboratories, software engineering, machine learning and deep learning, evolutionary deep learning (hyper‑parameter optimization), modelling of medical systems such as cardiopulmonary bypass machines, computer‑science education, and educational robotics.

How has Chan‑Jin Chung contributed to undergraduate education in autonomous vehicles? He developed undergraduate curricula for Connected and Autonomous Vehicles (CAV) that were supported by the National Science Foundation, integrating topics such as vehicular communications, perception algorithms, control theory, and ethical considerations into hands‑on laboratory experiences.