Prof. Dr. Chelang Arslan: Dean of college of Engineering at University Of Kirkuk, Iraq
Prof. Dr. Chelang Akram Omar Arslan, born on April 5, 1969, in Kirkuk, Iraq, is a distinguished civil engineer and academic leader with extensive experience in water resources engineering. Currently serving as Dean of the College of Engineering at the University of Kirkuk, he has devoted over 28 years to advancing higher education and scientific research in Iraq. His career combines teaching, research, and administrative leadership, and he is recognized for integrating modern computational methods with practical water management solutions.
Online Profiles
Scopus Profile
Research Output (Scopus Metrics):
Total Documents: 7
Total Citations: 208 (from 183 citing documents)
h-index: 4
These metrics indicate a strong impact in the field of civil and water resources engineering, with contributions focused on hydrological modeling, hydraulic structures, and the application of AI and neuro-fuzzy systems in water management.
Education
Dr. Arslan earned his PhD in Civil Engineering with a specialization in Water Resources Engineering from the University of Technology, Baghdad. To strengthen his expertise, he completed a 12-month postdoctoral research fellowship at Selcuk University, Turkey, in 2015, focusing on advanced hydrological modeling and computational simulations. He has also pursued multiple professional certifications in computer proficiency, teaching methods, STADPRO, electronic management, and modern educational technologies.
Research Focus
His research spans the development and application of computational models in water resources management, streamflow forecasting, and hydraulic structures. He is particularly known for integrating artificial neural networks (ANNs), adaptive neuro-fuzzy inference systems (ANFIS), and hybrid AI models in hydrological predictions. His studies cover practical water management, climate impact assessment, river flow simulation, and optimization of hydraulic structures, bridging the gap between theoretical research and real-world engineering applications.
Experience
With more than 28 years of teaching and research experience, Dr. Arslan has instructed undergraduate and postgraduate students in fluid mechanics, sanitary engineering, hydraulic structures, engineering analysis, and advanced numerical methods. He has held key administrative positions including Head of the Civil Engineering Department, Secretary of the College of Engineering Council, Chairman of Academic Promotions Committees, and currently serves as Dean of the College of Engineering at the University of Kirkuk. He has also guided numerous MSc and PhD students and contributed to curriculum development and academic quality assurance.
Research Timeline & Activities
Dr. Arslan’s scholarly activity began in the late 1990s, with a focus on hydraulic structures, streamflow forecasting, and water management models. Between 2010 and 2024, he published over 20 high-impact papers in international journals and participated in multiple conferences in Turkey, Spain, and Egypt. His work includes rainfall-runoff modeling, evaporation estimation, river discharge prediction, particle velocity in rock blasting, and dam optimization. He actively combines AI techniques with hydrological models, contributing to both theoretical advancements and practical solutions in water engineering.
Awards & Honors
Dr. Arslan has been recognized for his scientific contributions, holding reviewer roles in leading journals such as Journal of Asian Scientific Research, Water Supply Journal, and Tikrit Journal of Engineering Sciences. He has received professional acknowledgment for leadership in academic promotions, quality assurance, and scientific committee work. His community contributions include delivering workshops, training courses, and consultancy for local water authorities, enhancing sustainable water resource management in Iraq.
Top Noted Publication
Among his most influential publications is “Performance of Artificial Neural Networks, Support Vector Machine, and Fuzzy Logic Networks in Monthly Streamflow Forecasting for Northern Iraq Rivers” (International Journal of Scientific & Engineering Research, 2016). This study demonstrates the application of AI and neuro-fuzzy techniques for accurate river flow forecasting, establishing a benchmark in water resources modeling in the region. Other notable works include studies on dam optimization, hydraulic structure simulation, and climate change impact assessment on regional water resources.
Title: Synergistic Optimization of Predictive Models for Water Quality Analysis in Treatment Plants Using Machine Learning and Evolutionary Algorithms
Journal: Evolutionary Intelligence, 2025
Citations: 5
Overview: This study presents a hybrid approach combining machine learning techniques with evolutionary algorithms to optimize predictive models for water quality monitoring in treatment plants. The work emphasizes improving model accuracy and reliability, supporting efficient water management and decision-making in engineering applications.
Strengths for Best Innovator Award
Pioneering Research in AI-Driven Water Management
Dr. Arslan has consistently applied artificial intelligence, including ANNs, ANFIS, and hybrid AI models, to water resources engineering, enabling highly accurate streamflow forecasting, river discharge prediction, and water quality optimization. His innovative integration of AI with hydrological models demonstrates cutting-edge approaches to solving practical engineering challenges.Innovative Hydraulic Structure Optimization
Through his research on dam design, including buttress dam optimization and peak particle velocity simulations in rock blasting, Dr. Arslan has advanced methods for structural efficiency and safety, applying computational techniques and evolutionary algorithms to real-world engineering problems.Cross-Disciplinary and Global Approach
He bridges civil engineering, computer modeling, and environmental science, publishing in international journals and participating in conferences worldwide (Turkey, Spain, Egypt). This demonstrates the global relevance and innovation of his methodologies.Educational Innovation and Leadership
As Dean of the College of Engineering, Dr. Arslan has introduced modern computational tools, such as MATLAB and AI modeling, into curricula and research programs. His dedication to training the next generation of engineers reflects a commitment to innovative education and capacity building in Iraq.Applied Solutions for Community and Industry
Beyond academia, Dr. Arslan translates research into practical solutions for local water authorities, irrigation projects, and treatment plants. His work on predictive water quality models using machine learning and evolutionary algorithms demonstrates innovation that directly improves public utilities and resource management.