Advancing Engineering Intelligence for Critical Infrastructure
McC AI Group, Inc. is an independent U.S.-based engineering research and technology company dedicated to advancing the science and practice of Engineering Intelligence for critical infrastructure and regulated industrial systems.
Engineering Intelligence is the discipline of generating trusted decisions for critical infrastructure.
McC AI Group integrates Trusted Information, Engineering Knowledge, Explainable Reasoning, and Governed Intelligence with advanced AI, engineering algorithms, and process-control technologies to help engineers and operators make decisions that are technically sound, traceable, bounded, and appropriate to the operating environment.
Our work begins with the engineering problem—not the technology. We develop modular, interoperable capabilities designed to build upon existing instrumentation, operational data, engineering knowledge, and PLC/SCADA infrastructure while preserving human oversight and site-approved operational authority.
Our Philosophy
Technology changes. Engineering principles endure.
We do not begin by asking, “What can artificial intelligence do?”
We begin by asking, “What engineering problem must be solved?”
Artificial intelligence, machine learning, optimization, digital twins, physics-based models, statistical methods, and future computational technologies are tools. Engineering principles determine how those tools should be applied.
Our approach is guided by several fundamental principles:
- Engineering First: Engineering principles, process realities, operating objectives, and physical constraints define the problem and the permissible solution space.
- Trusted Information Before Trusted Decisions: Decisions should be based on information whose reliability, relevance, and limitations are understood.
- Explainable Reasoning: Recommendations and decisions should have an engineering basis that can be examined, understood, and reviewed.
- Authority Must Be Earned: Operational authority should expand only as performance, confidence, engineering constraints, and organizational requirements are demonstrated.
- Governance by Design: Human oversight, operating boundaries, escalation, fallback, override, and accountability should be integral to the system architecture.
- Knowledge Must Be Preserved: Site-specific engineering and operational expertise should become a reusable organizational asset rather than disappear through retirement, turnover, or organizational change.
The objective is not autonomous technology for its own sake.
The objective is trusted engineering decisions.
Executive Leadership
Professor Jim Park | Founder & Chairman
McC AI Group is founded on Professor Park’s decades of experience in civil and environmental engineering, water and wastewater treatment, process control, and applied engineering research.
As Professor Emeritus of Civil and Environmental Engineering at the University of Wisconsin–Madison, his career spans academic research, industrial collaboration, process development, and the solution of complex municipal and industrial treatment challenges.
He leads McC AI Group’s Engineering Intelligence research and application strategy, with particular emphasis on converting site-specific engineering knowledge, advanced algorithms, and operational experience into explainable and governed systems for critical infrastructure.
Dr. Ernie Lee | Chief of Staff
Dr. Lee leads corporate strategy, commercialization, and organizational execution.
His executive experience in the global water sector includes scaling water-purification product lines and managing international manufacturing and commercial development activities.
At McC AI Group, he focuses on translating engineering innovation into deployable technology, strategic partnerships, and pathways for commercial implementation.
Engineering & Operations
Nam Su Kim | Chief Technology Officer & Technical Co-Founder
Nam Su Kim leads McC AI Group’s core software engineering and algorithm development and manages the company’s technical development hub in Korea. A Computer Science graduate of the University of Illinois Urbana-Champaign (UIUC), he brings substantial entrepreneurial and investment experience, including involvement with venture capital organizations in San Francisco, Seattle, and Austin.
He also leads an operation in Korea focused on advanced AI applications in dentistry, giving him direct experience in developing and commercializing AI-enabled technologies in a highly technical field.
At McC AI Group, Nam directs the dedicated engineering team responsible for translating advanced environmental engineering, optimization, and control logic into secure, scalable software and AI architectures for critical infrastructure.
Dr. Praewa “Peggy” Wongburi | Director of Global Operations
Dr. Wongburi leads global data operations and international project coordination.
Working through the company’s operational activities in Thailand, she supports data analysis, predictive-method evaluation, and cross-regional execution of Engineering Intelligence projects.
Her work focuses on identifying and validating analytical approaches appropriate to specific engineering and operational challenges.
Global Network & Strategic Partnerships
McC AI Group works through a focused international network of engineering specialists, research institutions, and pilot collaborators.
These relationships provide regional engineering knowledge, regulatory perspective, specialized technical expertise, and access to real-world operating environments for the evaluation and advancement of Engineering Intelligence.
United Kingdom — Dr. Vassilis J. Inglezakis | Regional Technical Expert & Engineering Intelligence Specialist
Dr. Inglezakis brings over twenty years of applied research and operational experience across the water, wastewater, and chemical engineering sectors. His extensive international background ensures McC AI Group’s solutions are firmly rooted in rigorous, evidence-based process engineering.
Southeast Asia — Dr. Firdaus Ali and Indonesia Water Institute
Under the leadership of Dr. Firdaus Ali, the Indonesia Water Institute (IWI) collaborates with McC AI Group on Engineering Intelligence research and evaluation in Southeast Asia.
Current work includes Phase 1 digital-twin evaluations using operational data to examine predictive performance, engineering applicability, and pathways toward larger-scale municipal validation.
The collaboration provides an important environment for testing Engineering Intelligence against real operating conditions while maintaining engineering review and progressive validation.
Japan — Dr. Charles Peng | Regional Technical Expert & Advisor
Drawing on his experience as Former Senior Director/Asia Leader, Research & Development Global Product Stewardship, Procter & Gamble Company, Dr. Peng advises McC AI Group on regional technical strategy, regulatory considerations, and industrial implementation.
His experience strengthens the integration of Engineering Intelligence with demanding operational, safety, sustainability, and regulatory environments.
Taiwan — Dr. Langmuir Whang | Engineering Intelligence Specialist
Dr. Whang contributes specialized engineering expertise in process optimization and algorithmic refinement for regional Engineering Intelligence initiatives.
His work supports rigorous, site-specific evaluation of engineering methods and operational strategies.
South Korea — Dr. Kyoungmin Kim | Regulation/Implimentation Specialist
Dr. Kim guides McC AI Group’s regulatory strategy and facilitates strategic engagement with industrial facilities across South Korea and other regions. Leveraging a distinguished career that spans provincial, governmental, and parliamentary roles, her policy insights are uniquely strengthened by a robust background in chemical and environmental engineering.
Middle East — Khaled Alsharari | Regional Engineering Evaluation Specialist
Middle East — Khaled Alsharari | Regional Engineering Evaluation Specialist
Khaled Alsharari is a doctoral researcher in Civil and Environmental Engineering at the University of Wisconsin–Madison, specializing in AI-driven aeration optimization and oxygen-transfer physics for wastewater treatment. Bringing extensive consulting experience with the Riyadh Regional Municipal Authority in infrastructure delivery and project management, he supports McC AI Group’s regional engineering evaluation across the Middle East. His work focuses on applying governed Engineering Intelligence to address the region’s acute water scarcity and rapid infrastructure growth.
Engineering Intelligence for the Infrastructure Society Depends On
McC AI Group was established on a fundamental belief:
The future of critical infrastructure depends upon trusted engineering decisions.
Our objective is not simply to develop new AI products. It is to advance Engineering Intelligence as a rigorous engineering discipline—and to translate that discipline into practical systems that improve operational performance, preserve engineering knowledge, strengthen resilience, advance environmental sustainability, and support the infrastructure of the future.
Engineering principles define the boundaries.
Engineering Intelligence strengthens the decisions.
McC AI Group, Inc. 