Saad Shauket Sammen | Machine Learning | Best Researcher Award

Published on by High Energy Physics

Assist Prof Dr. Saad Shauket Sammen | Machine Learning | Best Researcher Award

PHD at University Putra Malaysia, Malaysia

Dr. Saad Shauket Sammen, an Assistant Professor at the Department of Civil Engineering, University Putra Malaysia, specializes in water resources engineering. Born in Diyala, Iraq, in 1978, he holds a Ph.D. from University Putra Malaysia and a Master’s from the University of Technology, Iraq. His research interests include water resources management, hydraulic and hydrology modeling, groundwater modeling, and climate change. Dr. Sammen has extensive teaching experience and has supervised several postgraduate students. He has also served as a consultant on numerous hydrological and construction projects in Iraq and Malaysia, contributing significantly to the field of water resources engineering. Machine Learning

Professional Profiles

Education

Ph.D. in Water Resources Engineering Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia, Malaysia (2017) Master of Water Resources Engineering Department of Building and Construction, University of Technology, Iraq (2009) Bachelor of Civil Engineering Department of Civil Engineering, College of Engineering, University of Anbar, Iraq (2001) Machine Learning

Work Experience

Assistant Professor Department of Civil Engineering, University Putra Malaysia (2021-present) Lecturer Civil Engineering Department, University of Diyala (2017-2021) Ph.D. Student Department of Civil Engineering, University Putra Malaysia (2014-2017) Lecturer Civil Engineering Department, University of Diyala (2011-2013) Assistant Lecturer Civil Engineering Department, University of Diyala (2009-2011) Civil Engineer Ministry of Higher Education and Scientific Research, Iraq (2006-2009) Civil Engineer Ministry of Water Resources, Iraq (2004-2006)

Teaching Experience

Lecturer Civil Engineering Department, University of Diyala, teaching: Fluid Mechanics for 2nd-year undergraduates Mathematics for 2nd-year undergraduates Hydraulic Structures for 3rd-year undergraduates Irrigation and Drainage Engineering for 4th-year undergraduates Machine Learning

Research Area Interest

Water Resources Management Hydraulic Modeling Hydrology Modeling Ground Water Modeling Climate Change Water Quality Modeling GIS and RS in Water Resources Application of Artificial Intelligence and Optimization Algorithms in Water Resources Engineering

Research Focus

Dr. Saad Shauket Sammen is an expert in water resources engineering, focusing on rainfall-runoff modeling, water quality assessment, and drought prediction using advanced machine learning techniques. His research, widely published in high-impact journals, explores the application of evolutionary algorithms like Harris Hawks Optimizer and Particle Swarm Optimization for hydrological modeling. Dr. Sammen has made significant contributions to understanding and predicting water-related phenomena, utilizing hybrid machine learning models to improve the accuracy and efficiency of environmental and hydrological predictions. His work is instrumental in developing sustainable water management practices, particularly in the face of climate change and increasing water scarcity. Machine Learning

Publications

  1. Daily scale air quality index forecasting using bidirectional recurrent neural networks: Case study of Delhi, India, Publication date: 2024.
  2. Predictive modelling of nitrogen dioxide using soft computing techniques in the Agra, Uttar Pradesh, India,  Publication date: 2024.
  3. Toward Decontamination in Coastal Regions: Groundwater Quality, Fluoride, Nitrate, and Human Health Risk Assessments within Multi-Aquifer Al-Hassa, Saudi Arabia, Publication date: 2024.
  4. Developing an ensembled machine learning model for predicting water quality index in Johor River Basin, Publication date: 2024.
  5. Isotherms, kinetics and thermodynamic mechanism of methylene blue dye adsorption on synthesized activated carbon, Publication date: 2024.
  6. Three novel cost-sensitive machine learning models for urban growth modelling, Publication date: 2024.
  7. Strength assessment of structural masonry walls: analysis based on machine learning approaches, Publication date: 2024.
  8. Prediction of daily leaf wetness duration using multi-step machine learning, Publication date: 2024.
  9. New strategy based on Hammerstein–Wiener and supervised machine learning for identification of treated wastewater salinization in Al-Hassa region, Saudi Arabia, Publication date: 2024.
  10. Comparison Analysis of Seepage Through Homogenous Embankment Dams Using Physical, Mathematical and Numerical Models,  Publication date: 2024.
.

Bantalem Wale | Artificial intelligence | Best Researcher Award

Published on by High Energy Physics

Dr. Bantalem Wale | Artificial intelligence | Best Researcher Award

Associate Professor at Universidad Andrés Bello,  Chile

Dr. Bantalem Derseh Wale is an assistant professor of English language teaching with expertise in various domains including research, community service, publication, professional training, and research advisory. With a Ph.D. in Teaching English as a Foreign Language (TEFL), Dr. Bantalem possesses over 7 years of experience in both academic and private educational institutions. Skilled in smart PowerPoint preparation, public speaking, and academic writing, Dr. Bantalem is known for resourcefulness and ambition. Artificial intelligence

Professional Profiles:

Scopus 

Orcid

LinkedIn

Education:

Ph.D. in Teaching English as a Foreign Language (TEFL) Bahir Dar University, 2016 – 2021 Research Area: Inquiry-Based Learning MEd in Teaching English as a Foreign Language (TEFL) Bahir Dar University, 2009 – 2011 Research Area: Teaching Material Development BEd in Teaching English as a Foreign Language (TEFL) Arba Minch University, 2006 – 2009 Research Area: Writing Skills Development. Artificial intelligence

Professional Expertise:

Assistant Professor Injibara University, January 2021 – Present Lecturer Woldia University, 2016 – 2011 Coordinator Culture and Art Center – Woldia University, 2009 – 2011 Responsibilities included translation, editing, participation in workshops and conferences, research, and journal article reviewing.

Research Focus:

Dr. Bantalem Derseh Wale’s research focus lies in English Language Teaching (ELT) and educational technology, particularly in exploring the effects of various instructional methods and tools on language learning outcomes. His work delves into areas such as the integration of automated writing evaluation programs in academic writing instruction, learners’ perceptions of effective teaching qualities, the association between instructors’ interpersonal behavior and language achievement, and the use of educational technology to enhance speaking performance. Dr. Wale also investigates the effectiveness of inquiry-based writing and learning approaches in developing students’ academic writing skills and critical thinking abilities within the EFL context. Artificial intelligence

Publications (TOP NOTES)

  1. Effects of using inquiry-based learning on EFL students’ critical thinking skills, cited by: 23, Publication: 2020.
  2. Using inquiry-based writing instruction to develop students’ academic writing skills, cited by: 6, Publication: 2021.
  3. Effects of using educational technology tools to enhance EFL students’ speaking performance, cited by: 5, Publication: 2023.
  4. The matrix of ELT (English Language Teaching): students’ perceptions about qualities of an effective teacher, Publication: 2024.
  5. Artificial intelligence in education: Effects of using integrative automated writing evaluation programs on honing academic writing instruction, Publication: 2024.
.