Upcoming PhD Public Defences at Wallaga University

Public Defence of PhD Research – Wallaga University

Wallaga University, School of Postgraduate Studies, Department of Mechanical Engineering, proudly announces the public defence of two PhD candidates. We invite all interested individuals to attend and engage in these remarkable research presentations.

1. PhD Candidate: Naol Dessalegn Dejene

  • Program: PhD in Mechanical Engineering (Manufacturing), Dual Degree: University of Stavanger, Norway, and Wallaga University, Ethiopia
  • Research Title: Effects of Process Parameters on the Quality of Metal Additive Manufacturing in Laser Powder Bed Fusion-Based Systems: Machine Learning Approach
  • Main Supervisor: Prof. Hirpa G. Lemu (PhD), University of Stavanger
  • Co-supervisor: Dr. Endalkachew Mosisa (PhD), Wallaga University
  • Date: January 3, 2025
  • Time: 7:00 AM (Local Time)
  • Venue: ETC Mech. Smart Room

Naol’s research investigates the effects of process parameters on the quality of Laser Powder Bed Fusion (L-PBF) produced parts, with a focus on surface roughness, material integrity and mechanical properties. By utilizing machine learning models, he developed predictive tools to optimize these parameters. The study aims to improve the consistency and performance of L-PBF components, bridging the gap between additive and traditional manufacturing techniques. 

2. PhD Candidate: Tekalign Lemma Woldasilassie

  • Program: PhD in Mechanical Engineering (Industrial and Management System Engineering)
  • Research Title: Direct and Moderating Effects of Additive Manufacturing on Supply Chain Complexity and Performance: A Case of the Footwear Industry in Ethiopia
  • Main Supervisor: Prof. Hirpa G. Lemu (PhD), University of Stavanger
  • Co-supervisor: Dr. Endalkachew Mosisa (PhD), Wallaga University
  • Date: January 3, 2025
  • Time: 2:30 PM (Local Time)
  • Venue: ETC Mech. Smart Room

Tekalign’s research investigates the impact of additive manufacturing on supply chain complexity and performance within Ethiopia’s footwear industry. It employs DEMATEL and structural equation modeling to identify and rank key complexity drivers, providing scientific insights into transforming traditional supply chains.

We look forward to your participation in these milestone events, showcasing innovative research that bridges academia and industry.