About

Jorge Dorribo Camba is an Associate Professor at Purdue University, affiliated with the School of Engineering Technology and the Department of Computer Graphics Technology. His research focuses on intelligent Computer-Aided Design systems and their integration with digital manufacturing processes. Specifically, he studies digital product model quality and complexity, automation and reusability of design engineering knowledge and methods, change and configuration management, and Model-Based Enterprise technologies. Dr. Camba works on developing new methods and tools for quality assurance, optimization, and reusability of digital product models, as well as communication of design intent. His work also includes innovative sketch-based parametric modeling interfaces and mixed reality environments for engineering design.

Research topics

• Computer Science
• Artificial Intelligence
• Political Science
• Geography
• Industrial organization
• Data science
• Social psychology
• Engineering
• Cognitive psychology
• Ecology
• Psychology
• Developmental psychology
• Process management
• Medicine
• Business

Selected publications

• ASSESSING THE NEEDS FOR LIFE-LONG TRAINING ON COMPUTER-AIDED DESIGN: EVIDENCE FROM THE SPANISH MANUFACTURING INDUSTRY

  INTED proceedings · 2026-03-01

  articleSenior author
  PublisherDOI

• Prompt2CAD: A Lightweight LLM Framework for Conversational CAD Generation and Iterative Refinement

  Procedia Computer Science · 2026-01-01

  articleOpen accessSenior author
  PublisherDOI

• WIP: An AI-Based Virtual Assistant for Supporting a Large Engineering Course

  2025-11-02

  article

  The work-in-progress innovative practice paper showcases the development of an AI-based virtual Teaching Assistant (TA) in a large freshmen engineering course with 800+ students per semester. In this environment, it is challenging for the instructional team to resolve all the administrative issues students may encounter, provide individualized support, and answer questions on time. If not handled efficiently, these environments can easily result in frustration both for students and the instructional team. Repetitive time-consuming tasks often manifest in the form of emails and help form submissions, which typically have a turnaround time of 1–2 days depending on the volume and represent a significant workload for the instructional team. To address administrative questions related to the course, including assignments, software issues, and grading, we trained and deployed a custom virtual assistant based on ChatGPT 4.0. Our system provides quick and concise support to students who need guidance, clarification, and further explanation of the technical topics covered in the course. The system significantly releases TAs' time, allowing them to focus on direct instruction and student interaction.

  PublisherDOI

• CADialogue: A multimodal LLM-powered conversational assistant for intuitive parametric CAD modeling

  Computer-Aided Design · 2025-10-28 · 1 citations

  articleSenior authorCorresponding
  PublisherDOI

• Enterprise PDM as Digital Backbone in a Large First-Year Engineering Course

  2025-08-21

  article
  PublisherDOI

• The status, evolution, and future challenges of multimodal large language models (LLMs) in parametric CAD

  Expert Systems with Applications · 2025-04-06 · 10 citations

  articleSenior authorCorresponding
  PublisherDOI

• Expert-Driven Design and Validation of a CAD Model Quality Assessment Instrument

  IFIP advances in information and communication technology · 2025-11-18

  book-chapterSenior author
  PublisherDOI

• Change and Configuration Management in the Digital Enterprise Curriculum

  2025-09-01

  book-chapter1st authorCorresponding

  The principles, practices, and tools of change and configuration management are essential elements for achieving operational excellence in any industrial enterprise. As key enablers of the digital thread, change and configuration management is a multifaceted field that influences every aspect of an enterprise’s processes, technology, and personnel by offering a structured and systematic approach to identify, analyze, prepare, implement, validate, and document engineering changes throughout a product’s lifecycle. In the rapidly evolving Industry 4.0 and smart manufacturing landscape, where flexibility, adaptability, and scalability are critical to effectively meet the demands of rapid development cycles, change and configuration management has grown significantly in complexity and become even more crucial to ensure that everyone in the organization works from the same product record and that changes are communicated in real time. From an educational standpoint, however, the challenges and complexities of change and configuration management are often overlooked. In this chapter, we discuss the role of these disciplines in the current digital enterprise ecosystem and present a vision for a new digital enterprise curriculum. We describe two courses targeted to graduate and undergraduate students focused on change and configuration management and developed in close collaboration with industry. The courses cover the core elements, data structures, stakeholders, and workflows of change management, emphasizing the application of the industry-standard CM2 methodology. Hands-on exercises and assignments provide a practical foundation to connect the theoretical CM2 principles discussed in the course with the supporting software technology that enables the CM2 paradigm.

  PublisherDOI

• Work in Progress: Aligning a Professional Development Program with Industry Needs

  2024-02-06 · 1 citations

  articleOpen access

  Abstract A multidisciplinary team of eighteen faculty, staff, and students at a large Midwestern University is preparing online instructional materials on model-based systems engineering (MBSE) for current and potential employees of organizations that are either transitioning to model-based systems engineering or planning to do so in the near future. Our goal is to design, develop, deploy, and evaluate a suite of instructional modules, making them as effective and flexible as possible for employees with a wide variety of education, experience, and job responsibilities. It is essential for us to prepare materials that are well-aligned with the needs of organizations whose employees will be working in the digital environment using model-based systems engineering. This paper outlines the actions we are finding to be effective in aligning our modules with organizations' needs. The effort to align our materials with industry needs began before the project was officially launched. Some of our team members with MBSE expertise had industry connections and were able to identify people in several organizations who were either experts in, or advocates for adoption of, MBSE. Our team developed a series of questions for those industry contacts and held hour-long conversations with representatives of eleven organizations. We asked a series of questions ranging from which categories of employees would require training in MBSE and what topics should be covered to how employees are accustomed to receiving training and what technology they would have available to them for MBSE training. The questions were often open-ended, allowing us to gather information beyond what we knew to ask about. Some of the key contacts at organizations agreed to serve on an advisory board which meets semi-annually. At those meetings, we ask board members to give us more detailed, and current, information on MBSE topics to be covered, ways employees prefer to interact with instructional materials, and how we can best integrate our materials into an organization's ongoing training program. Those responses are influencing the development and deployment of our instructional modules. As each module is completed, it is sent to a subgroup of the advisory board (or their designees) for a thorough review. Reviewers, who participate in the process voluntarily, are asked questions about content quality, how well the modules motivate learners, instructional design, and so on. Typically, three to five reviewers provide feedback, with detailed comments as well as ratings on a Likert-like scale. Finally, a few employees with varied amounts of MBSE experience take the completed module and provide feedback on their level of satisfaction with the module and their thoughts on its value and effectiveness. The purpose of this paper is to describe the actions we have taken to align our instructional modules with employers' needs and to discuss the lessons we have learned so far.

  PublisherOA PDFDOI

• Engineering Graphics Education for the Digital Enterprise: A Practical Example in a Large Freshman Engineering Course

  2024-08-04 · 1 citations

  articleOpen access

  With the advent of Industry 4.0 and digital enterprise environments, the importance of Product Data Management (PDM) and Product Lifecycle Management (PLM) continues to grow in industry, yet it is the exception rather than the rule in engineering and technology education.In this paper, we discuss an approach to CAD instruction where students work and develop their skills in the context of a digital enterprise environment.Our goal is to expose engineering students to the concepts, capabilities, and processes involved in the digital enterprise so they can become familiar with the tools and methods they will encounter in their future careers.We discuss the resources and tools that were specifically developed for this course, as well as the technology, workflows, and digital environment that were implemented to replicate a modern industrial ecosystem.We also discuss the challenges faced during the implementation, and some strategies to overcome these obstacles.This course redesign is the first step toward a significant curricular revision in our major and the deployment of PDM as a common infrastructure for all courses.Our approach represents a shift toward driving industry practices and processes into the engineering classroom, and provides a framework to fill the gap between theory and practice.

  PublisherOA PDFDOI

Frequent coauthors

• Manuel Contero

  Universitat Politècnica de València

  89 shared

• Pedro Company

  Universitat Jaume I

  48 shared

• Kristin A. Bartlett

  36 shared

• Jeffrey Otey

  Texas A&M University

  29 shared

• Vetria Byrd

  Purdue University West Lafayette

  18 shared

• Francisco

  Defense Information Systems Agency

  16 shared

• Constantine Stephanidis

  16 shared

• Adrián Andrés-Gómez

  Universidad de León

  16 shared

Awards & honors

• Purdue University Faculty Scholar (2021)
• I3B Fellow, Institute for Research and Innovation in Bioengi…
• Best Paper Award Nominee, IFIP 18th International Conference…
• Seed for Success Award (2020)
• Outstanding Achievement Award in Engineering Graphics. SDC P…