Assist. Prof. Dr. HalitErdem Çolakoğlu | Computer Science | Research Excellence Award

Assist. Prof. Dr. HalitErdem Çolakoğlu | Computer Science | Research Excellence Award

Giresun University | Turkey

Assist. Prof. Dr. Halit Erdem Çolakoğlu is a civil engineering researcher specializing in structural behavior of reinforced concrete systems, with emphasis on high-temperature effects, cyclic loading, seismic performance, and finite element modeling. His work contributes to understanding durability, safety, and performance of structural elements under extreme conditions, including corrosion and material degradation. He has published in recognized engineering journals and conferences, focusing on advanced numerical analysis and experimental validation. According to available metrics, his research impact includes approximately 10 Scopus-indexed citations across 4 documents with an h-index of 2, and 24 Google Scholar citations with an h-index of 4, reflecting growing academic influence and research consistency.

Citation Metrics (Scopus)

10

8

6

4

2

0

Citations
10

Documents
4

h-index
2

                    🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications

Investigation of the Change in Mechanical Properties of Concrete Subjected After High-Temperature Effect to Cyclic Lateral Load – Arabian Journal for Science and Engineering, 2025

The behavior of reinforced concrete frames exposed to high temperature under cyclic load effect
– Structures, 2024

Investigation of cyclic load behavior of reinforced concrete frames exposed to high temperatures using FEM
– Engineering Journal, 2025

Research focus: Reinforced Concrete, Earthquake Engineering, High Temperature Effects, Structural Analysis

Dr. Yonglin Ren | Computer Science | Innovative Research Award

Dr. Yonglin Ren | Computer Science | Innovative Research Award

Senior Project Engineer & Researcher | Concordia University | Canada

Dr. Yonglin Ren is a distinguished Senior Project Engineer and Researcher at Concordia University, recognized for his interdisciplinary expertise in mathematical modeling, logistics optimization, and sustainable engineering systems. His research bridges theoretical optimization frameworks and industrial applications, focusing on metaheuristic algorithms, CAD/CAE-based modeling, and supply chain design for humanitarian and sustainable logistics. Dr. Ren’s contributions have advanced methodologies for capacitated location allocation problems, high-speed rail freight transport, and dynamic mechanical system modeling. His work integrates computational intelligence with real-world challenges in water resource management, transportation networks, and crisis logistics, making a significant impact in both academia and industry. His publications are widely cited, reflecting his influence in the fields of operational research and applied optimization, with a Scopus record of 3 indexed documents, 6 citations, and an h-index of 1, alongside a Google Scholar citation count of 26. Dr. Ren has collaborated on multiple international engineering and research projects, driving innovations that contribute to sustainable development and global resource optimization.

Profile

Scopus

Featured Publications 

Ren, Y., & Awasthi, A. (2014). Investigating metaheuristics applications for capacitated location allocation problem on logistics networks. Chaos Modeling and Control Systems Design, 213–238.

Ren, Y., & Awasthi, A. (2012). Location allocation planning of logistics depots using genetic algorithm. Research in Logistics & Production, 2, 247–257.

Ren, Y. (2011). Metaheuristics for multiobjective capacitated location allocation on logistics networks. Concordia University.

Ren, Y., Hajiebrahimi, S., Azad, M., Awasthi, A., & Salah, S. (2020). Humanitarian aid for Wuhan with crisis logistics management approach. Proceedings of the International Conference on Industrial Engineering and Operations Management.

Ren, Y., & Awasthi, A. (2025). Logistics hub location for high-speed rail freight transport—Case Ottawa–Quebec City corridor. Logistics, 9(4), 158.