Dr. Franck Adjogble

Assistant Professor

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Biography

Franck K. Adjogble is an adjunct professor with a distinguished background in technology innovation management, computer science, data analysis, and manufacturing automation systems. He earned his Ph.D. in technology innovation management from the University of Hagen in Germany, where he collaborated with the Fraunhofer Institute of Industrial Engineering. He also holds a Technology Innovation Management Certificate from the same institutions, as well as an M.Sc. in computer science from the University of Siegen. Dr. Adjogble has held leadership roles in the steel and aluminum rolling industries, including positions such as general manager of digital technologies at SMS-Digital SMS-Group and chief engineer at SMS-SIEMAG LLC. With extensive experience in commissioning and managing rolling mills and automation systems, he has worked on projects worldwide, focusing on hot strip and plate mills. Additionally, Adjogble has taught courses on security, technology intelligence, and software engineering at TÜV Akademie Rheinland GmbH and the University of Hagen, where he has supervised and mentored many master’s students. He aims to bridge the gap between industry and academic research and aspires to a long-term career as a university professor. His research interests include the Industrial Internet of Things, Natural Language Processing, and Artificial Intelligence in production planning, and he is a highly respected figure in both academia and industry.

Research Interests

Experience

Adjunct Professor

— Present

Carnegie Mellon University • Pittsburgh, PA

Teaching courses on security, technology intelligence, and software engineering.

General Manager Digital Technologies

— Present

SMS-Digital SMS-Group • Germany

Leading digital technology initiatives in the rolling industry.

Chief Engineer

— Present

SMS-SIEMAG LLC • Germany

Oversaw business development and engineering projects for rolling mills.

Manager Automation Systems

— Present

SMS-SIEMAG GmbH • Germany

Managed automation systems and process models for industrial projects.

Lecturer

— Present

TÜV Akademie Rheinland GmbH • Siegen, Germany

Lectured on topics of technology intelligence and software engineering.

Awards

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James Farrington Award

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Hunt-Kelly Award

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AIST Board Directors Award

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.