Dr. Alexandr M. Sokolov

Director and Assistant Professor of Engineering Management and Construction Management

About Dr. Alexandr M. Sokolov

Engineering scholar and academic leader focused on building practical, high-impact programs in engineering and construction management. Dr. Sokolov had the opportunity to develop programs from the ground up, shaping curriculum, guiding accreditation efforts, and expanding online offerings to reach a broader student population. His work centers on Lean systems, Six Sigma, Digital Twins, optimization, and applied systems thinking, with a strong emphasis on real-world impact through industry collaboration and sponsored research.

Dr. Sokolov has published extensively and secured external funding, but what he values most is mentoring students at both the undergraduate and graduate levels, helping them find their paths in life and careers. Dr. Sokolov has also been actively involved in institutional service, national professional societies, and cross-disciplinary initiatives, all of which have shaped his approach to leadership and program development.

Education

  • Ph.D., Industrial Engineering, University of Tennessee
  • M.B.A., Finance, Lincoln Memorial University
  • B.S., Biological Science, University of Tennessee

Credentials

  • Certified Professional of Engineering Management

Affiliations

  • Member of the American Society of Engineering Management

 

Research at a Glance

Summary

Dr. Sokolov's research centers on developing data‑driven, algorithmic, and systems‑engineering solutions that improve decision‑making in complex, high‑stakes environments across diverse fields and industries, such as engineering, manufacturing, healthcare, construction, and disaster management. Dr. Sokolov integrates process mining, machine learning, and computational modeling to uncover inefficiencies, optimize workflows, and support autonomous or semi‑autonomous decision systems. Dr. Sokolov's work ranges from applying CNN‑based image classification to enhance flood‑response robotics, to using process mining algorithms to identify procedural deviations in clinical settings, to advancing predictive and optimization methods for engineering and operations management. Across these domains, Dr. Sokolov’s research consistently focuses on improving safety, efficiency, and organizational performance through rigorous analytics and practical, implementable solutions.

Areas of Expertise

  • Engineering and Construction Management
  • Project Management
  • Efficiency
  • Effectiveness
  • Reliability

Teaching

Teaching Interests

  • Engineering Management
  • Construction Management
  • Project Management
  • Engineering