Associated Professor at Taif University – khurma University Collegue, Saudi Arabia

Dr. Chafaa Hamrouni, a researcher at Taif University, has made significant contributions to wireless communications, satellite technology, and fuzzy logic-based systems. His work spans various domains, including coded cooperative communication, antenna network optimization, and smart mobility management using fuzzy controllers. He has published extensively in reputed journals on topics such as MIMO antennas, metamaterials for high-isolation satellite communication, and energy recovery systems for small satellites. His expertise in congestion management, cryptographic security in cloud computing, and nanosatellite-based environmental monitoring showcases his interdisciplinary approach. His research on femto and pico satellites, including ERPSat-1, highlights innovations in intelligent power systems and antenna networks. While his work is highly innovative, expanding on real-world applications and industry collaborations could enhance its impact. Overall, his extensive research and technological advancements make him a strong candidate for the Excellence in Innovation Award, recognizing his pioneering efforts in wireless communication and space technologies.

Professional Profile

Education

Dr. Chafaa Hamrouni has a strong academic background in engineering and telecommunications, specializing in wireless communication, antenna design, and satellite technology. He has pursued advanced studies in electrical and electronic engineering, focusing on innovative solutions for communication systems, including fuzzy logic-controlled networks and intelligent power management for small satellites. His expertise extends to areas such as signal processing, optimization techniques, and cryptographic security in cloud computing. Throughout his academic journey, Dr. Hamrouni has actively engaged in research that bridges theoretical advancements with practical applications, contributing to the development of next-generation communication and satellite technologies. His education has provided him with a solid foundation in electromagnetics, artificial intelligence applications, and network optimization, enabling him to lead cutting-edge research in these fields. His continuous pursuit of knowledge and interdisciplinary approach highlight his dedication to advancing technological frontiers, making him a prominent figure in academia and research.

Professional Experience

Dr. Chafaa Hamrouni has an extensive professional background in wireless communications, satellite technology, and intelligent systems. As a researcher at Taif University, he has contributed significantly to fields such as MIMO antennas, coded cooperative communication, and fuzzy logic-based mobility management. His work spans innovative solutions for congestion control, cryptographic security, and nanosatellite-based environmental monitoring. Dr. Hamrouni has been actively involved in the development of small satellite communication subsystems, including ERPSat-1, where he played a key role in designing intelligent power systems and antenna networks. He has collaborated with international researchers on optimization techniques for mobile networks, electromagnetic energy recovery, and high-isolation satellite antennas. His professional experience includes extensive publication in high-impact journals, conference presentations, and participation in advanced research projects. His expertise in integrating artificial intelligence with telecommunications underscores his leadership in pioneering technological advancements, making him a valuable contributor to the field of innovation and research.

Research Interest

Dr. Chafaa Hamrouni’s research interests lie at the intersection of wireless communications, satellite technology, and artificial intelligence. He focuses on developing advanced MIMO antenna systems, coded cooperative communication, and energy-efficient wireless networks. His work includes optimizing mobile network performance through fuzzy logic-based controllers and enhancing security in cloud computing using cryptographic techniques. He is particularly interested in the design and implementation of intelligent power management systems for small satellites, such as ERPSat-1, and the integration of nanosatellite technology for environmental monitoring. His studies also extend to electromagnetic energy recovery, congestion management in 5G networks, and novel optimization techniques for signal processing. Through his research, Dr. Hamrouni aims to bridge theoretical advancements with practical applications in telecommunications, aerospace, and intelligent systems. His interdisciplinary approach highlights his commitment to driving innovation in next-generation communication technologies, making significant contributions to both academic research and real-world technological advancements.

Award and Honor

Dr. Chafaa Hamrouni has been recognized for his outstanding contributions to wireless communications, satellite technology, and intelligent systems. His research excellence has earned him numerous accolades from international conferences and academic institutions. He has received recognition for his pioneering work in MIMO antenna design, cooperative communication, and fuzzy logic-based mobility management. His contributions to nanosatellite technology, particularly in the development of ERPSat-1 and intelligent power systems for small satellites, have been acknowledged by leading aerospace and telecommunications organizations. Dr. Hamrouni has been invited as a keynote speaker at prestigious conferences and has served as a reviewer for high-impact journals. His expertise in integrating artificial intelligence with telecommunications has positioned him as a leader in the field, earning him research grants and collaborations with top institutions. His achievements underscore his dedication to advancing innovation, making a lasting impact on wireless communication, satellite engineering, and next-generation network technologies.

Research Skill

Dr. Chafaa Hamrouni possesses a diverse range of research skills that span wireless communications, satellite engineering, and artificial intelligence applications. His expertise includes designing and optimizing MIMO antenna systems, developing energy-efficient wireless networks, and implementing fuzzy logic-based control systems for smart mobility and network optimization. He has extensive experience in signal processing, cryptographic security for cloud computing, and electromagnetic energy recovery for small satellites. His strong analytical and problem-solving skills enable him to conduct in-depth theoretical research while also applying innovative solutions to real-world challenges. Dr. Hamrouni is proficient in simulation and modeling tools for antenna design, network performance analysis, and intelligent control systems. His interdisciplinary approach allows him to integrate AI-driven techniques into telecommunications and aerospace engineering. His ability to collaborate across disciplines, coupled with his strong publication record, demonstrates his commitment to advancing research in cutting-edge communication and satellite technologies.

Conclusion

Dr. Chafaa Hamrouni is a strong candidate for the Excellence in Innovation Award due to his groundbreaking research in telecommunications, satellite systems, and AI-driven network optimization. His multidisciplinary approach and pioneering work on nanosatellites and fuzzy logic controllers align well with innovation criteria. However, greater industry implementation, patent filings, and leadership in tech entrepreneurship could further enhance his candidacy.

Publications Top Noted

Multi-Agent Mapping and Tracking-Based Electrical Vehicles with Unknown Environment Exploration
- Authors: C. Hamrouni, A. Alutaybi, G. Ouerfelli
- Year: 2025
On the Performance of Coded Cooperative Communication with Multiple Energy-Harvesting Relays and Error-Prone Forwarding
- Authors: S. Chaoui, O. Alruwaili, C. Hamrouni, A. Alutaybi, A. Masmoudi
- Year: 2023
- Citations: 2
Six Generation Load Cells Solution Based Congestion Management Control Purpose
- Authors: C. Hamrouni, A. Alutaybi
- Year: 2023
A New Fuzzy Controlled Antenna Network Proposal for Small Satellite Applications
- Authors: C. Hamrouni
- Year: 2022
- Citations: 1
Various Antenna Structures Performance Analysis Based on Fuzzy Logic Functions
- Authors: C. Hamrouni, A. Alutaybi, S. Chaoui
- Year: 2022
- Citations: 5
5G Smart Mobility Management Based Fuzzy Logic Controller Unit
- Authors: C. Hamrouni, S. Chaoui
- Year: 2021
- Citations: 2
New Trend Proposal in Optimization Techniques Application for Mobile Network, Analysis, and Signal Processing
- Authors: C. Hamrouni
- Year: 2020
UWB-MIMO Array Antennas with DGS Decoupling Structure
- Authors: C. Abdelhamid, M. Daghari, C. Hamrouni, H. Sakli
- Year: 2020
- Citations: 1
Complex ESP Systems Proposal Based on Pump Syringe and Electronically Injector Modules for Medical Application
- Authors: C. Hamrouni
- Year: 2020
- Citations: 1
A New UWB-MIMO Multi-Antennas with High Isolation for Satellite Communications
- Authors: C. Abdelhamid, M. Daghari, H. Sakli, C. Hamrouni
- Year: 2019
- Citations: 13
High Isolation with Metamaterial Improvement in a Compact UWB MIMO Multi-Antennas
- Authors: C. Abdelhamid, M. Daghari, H. Sakli, C. Hamrouni
- Year: 2019
- Citations: 9
A Joint Source Channel Decoding for Image Transmission
- Authors: S. Chaoui, O. Ouda, C. Hamrouni
- Year: 2019
- Citations: 8

Mohammed Sulaiman | Engineering | Best Researcher Award

Posted on 19/02/202519/02/2025 by ScienceFather

Dr. Mohammed Sulaiman | Engineering | Best Researcher Award

University Lecturer at Erbil Polytechnic University, Iraq

Dr. Mohammed Abdulqader Sulaiman is an accomplished researcher and academic specializing in Thermal Power Engineering. With a Ph.D. from Erbil Polytechnic University (2024), he has dedicated his career to advancing energy efficiency and cooling technologies. His research focuses on novel evaporative cooling systems, reflected in multiple publications in reputable international journals. As a lecturer and former Deputy Head of the Mechanical and Energy Engineering Department, he has played a vital role in academic leadership, laboratory development, and student mentorship. Proficient in engineering software like MATLAB, AutoCAD, and ANSYS, he integrates practical and theoretical expertise in his work. His contributions to renewable energy and refrigeration technologies position him as a strong candidate for research recognition, with potential for further impact through high-impact publications, industry collaborations, and research grants.

Profession Profile

Education

Dr. Mohammed Abdulqader Sulaiman holds a Ph.D. in Thermal Power Engineering from Erbil Polytechnic University (2024), where he also earned his M.Sc. in Thermal Power Engineering in 2016 and his B.Sc. in Refrigeration and Air-Conditioning Engineering in 2012. His academic journey has been dedicated to energy efficiency, heat transfer, and sustainable cooling technologies. Through his advanced studies, he has developed expertise in renewable energy, thermodynamics, and innovative cooling systems, contributing to both theoretical advancements and practical applications in the field of mechanical and energy engineering.

Professional Experience

Dr. Mohammed Abdulqader Sulaiman has extensive professional experience in academia and research, primarily at Erbil Polytechnic University. Since 2012, he has been a lecturer in the Mechanical and Energy Engineering Department, specializing in thermodynamics, renewable energy, and heat transfer. He served as Deputy Head of the department from 2017 to 2021, overseeing academic programs and research initiatives. Additionally, he has held key leadership roles, including Head of Laboratories and Workshops and In-Charge of Engineering Laboratories, contributing to the development of research infrastructure. Dr. Sulaiman has also been an active member of various academic committees, including the Examination and Summer Training Committees, demonstrating his commitment to student mentorship and curriculum development. His expertise in MATLAB, AutoCAD, and ANSYS further enhances his contributions to engineering education and research.

Research Interest

Dr. Mohammed Abdulqader Sulaiman’s research interests lie in the fields of thermal power engineering, energy efficiency, and innovative cooling technologies. His work focuses on dew-point evaporative cooling systems, heat and mass transfer, and sustainable energy solutions, aiming to improve cooling performance while reducing energy consumption. He is particularly interested in renewable energy applications, including solar, hydropower, wind, and geothermal energy, as well as advancements in refrigeration and air-conditioning systems. His research integrates experimental and numerical analysis, utilizing computational tools such as MATLAB, AutoCAD, and ANSYS to develop innovative thermal management solutions. Through his studies, Dr. Sulaiman aims to contribute to the development of energy-efficient and environmentally friendly technologies, addressing the growing global

Award and Honor

Dr. Mohammed Abdulqader Sulaiman has been recognized for his contributions to research and academia through various awards and honors. His dedication to thermal power engineering and energy efficiency has earned him appreciation within the academic and research community. As a member of the Kurdistan Engineers Association and Kurdistan Teachers Union, he has been acknowledged for his role in advancing engineering education and research. His innovative work in dew-point evaporative cooling systems and renewable energy applications has been published in reputable international journals, showcasing his impact in the field. With a strong academic and research background, he is a promising candidate for prestigious awards such as the Best Researcher Award, recognizing his commitment to scientific advancements and sustainable engineering solutions.

Conclusion

Mohammed Abdulqader Sulaiman is a strong candidate for the Best Researcher Award due to his solid academic background, research contributions, and leadership roles. While there are areas for further development, his expertise in thermal power engineering, innovative research in evaporative cooling, and commitment to education make him a competitive nominee.

Publications Top Noted

Title: Experimental and numerical investigation of novel dew-point evaporative cooler with shell and tube design
Authors: MA Sulaiman, HA Saber, HF Hasan, AC Benim
Year: 2025
Citations: –
Title: Performance analysis of novel dew point evaporative cooler with shell and tube design through different air-water flow configurations
Authors: MA Sulaiman, AM Adham, HF Hasan, AC Benim, HA Anjal
Year: 2023
Citations: 6
Title: Evaluation of new dew point evaporative cooler heat and mass exchanger designs with different geometries
Authors: MA Sulaiman, AM Adham
Year: 2023
Citations: 4
Title: Energy Performance Analysis of Dew Point Evaporative Cooler with Novel Heat and Mass Exchanger Design
Authors: MA Sulaiman, AM Adham
Year: 2023
Citations: 1
Title: Assessing the Performance of Novel Dew Point Evaporative Cooler Considering the Climatic Conditions of Different Cities in Iraq
Authors: MA Sulaiman, AM Adham
Year: 2023
Citations: 1
Title: Enhancement of the Overall Performance of Vapor Compression Refrigeration System (VCRS) using Environmentally Friendly Refrigerant and Jumping Capacitors – Experimental Study
Authors: ZK Shakir, AM Adham, MA Sulaiman, NK Mohammed
Year: 2020
Citations: 3
Title: Thermal and Hydrodynamic Characteristics of Graphite-H2O and CuO-H2O Nanofluids in Microchannel Heat Sinks
Authors: SFO Mohammed Abdulqader Sulaiman, Ahmed Mohammed Adham
Year: 2020
Citations: 1*
Title: Design of a Domestic Diffusion Absorption Refrigeration System Using Evolutionary Algorithm
Authors: AM Adham, MA Sulaiman
Year: 2017
Citations: 6

Mohammad Hossein Khosravi | Engineering | Best Researcher Award

Posted on 01/02/202501/02/2025 by ScienceFather

Assoc. Prof. Dr. Mohammad Hossein Khosravi | Engineering| Best Researcher Award

Associate Professor at University of Birjand, Iran

Mohammad Hossein Khosravi is an Associate Professor in the Department of Mining Engineering at the University of Birjand, Iran. He holds a Ph.D. in Geotechnical Engineering from the Tokyo Institute of Technology and has a broad academic background, including an M.Sc. in Rock Mechanics from the University of Tehran. His research interests focus on geomechanics, rock/soil slope engineering, and tunneling, with a particular emphasis on physical modeling and retaining structures. Khosravi has earned numerous prestigious awards, including best paper/presentation honors at international conferences and a Ph.D. scholarship from Japan’s Monbukagakusho. He has also gained valuable experience through postdoctoral research at the Center for Urban Earthquake Engineering and consulting roles in geotechnical engineering. He is actively involved in several professional organizations and has been a faculty member at both the University of Birjand and the University of Tehran. His research and academic achievements have made significant contributions to the field of geotechnical engineering.

Professional Profile

Education

Mohammad Hossein Khosravi has an impressive academic background. He earned his Ph.D. in Geotechnical Engineering from the Tokyo Institute of Technology in Japan, completing his dissertation on the arching effect in geomaterials with applications to retaining walls and undercut slopes. Prior to that, he obtained an M.Sc. in Rock Mechanics from the University of Tehran, where he conducted research on the groutability of alluvial deposits at the Kheirabad Dam foundation. He began his academic journey with a B.Sc. in Mining Engineering from Shahid Bahonar University of Kerman, where he studied the permeability of oxidized copper ore against water and sulfuric acid. His educational path reflects a deep commitment to advancing geotechnical engineering and geomechanics.

Professional Experience

Mohammad Hossein Khosravi has extensive professional experience in both academia and industry. He is currently an Associate Professor in the Department of Mining Engineering at the University of Birjand, Iran, where he contributes to both teaching and research. Previously, he served as an Assistant Professor at the University of Tehran, further strengthening his academic profile. Khosravi’s professional experience extends beyond academia; he was a postdoctoral research fellow at the Center for Urban Earthquake Engineering at the Tokyo Institute of Technology and worked as a Geotechnical Consulting Engineer at TaiseiKiso Sekkei Company in Japan. Additionally, he has held positions as a university lecturer and geotechnical site engineer, where he applied his expertise in real-world projects. His career demonstrates a successful blend of teaching, research, and practical experience in geotechnical engineering.

Research Interest

Mohammad Hossein Khosravi’s research interests are primarily focused on geomechanics, with a specific emphasis on rock/soil slope engineering, tunneling, and the behavior of retaining structures. He is particularly interested in physical modeling in geotechnical engineering, investigating the complex interactions of geomaterials under various stress conditions. His work also explores the arching effect in geomaterials, which has significant applications in the design and stability of retaining walls and undercut slopes. These areas of research are critical for improving the safety and efficiency of infrastructure projects such as tunnels, slopes, and retaining structures, making his work highly relevant to both academia and industry in the field of geotechnical engineering.

Award and Honor

Mohammad Hossein Khosravi has received numerous prestigious awards and honors throughout his academic and professional career. Notably, he was recognized with certificate awards for best paper and presentation at the 10th International Conference on Earthquake Engineering in Tokyo (2012) and the Japanese Geotechnical Conference (2010), reflecting the high quality and impact of his research. He also earned a postdoctoral fellowship from the Center for Urban Earthquake Engineering (CUEE) in Tokyo in 2012, further solidifying his expertise in geotechnical engineering. Khosravi was awarded a Ph.D. scholarship by Japan’s Ministry of Education, Culture, Sports, Science, and Technology (Monbukagakusho) for his doctoral studies. Additionally, he was recognized as the second-ranked student in his M.Sc. program and the first-ranked student in his B.Sc. program, both achievements earning him notable accolades. His exceptional academic and research achievements demonstrate his dedication and influence in his field.

Conclusion

Mohammad Hossein Khosravi’s strong academic foundation, innovative research contributions, international exposure, and recognition through awards make him a very suitable candidate for the Best Researcher Award. His work in geotechnical engineering addresses crucial issues in infrastructure and safety, which are of global importance. By expanding his research visibility and collaborations, he has the potential to further elevate his impact in the scientific community. Overall, he demonstrates the qualities and achievements expected of a Best Researcher Award recipient.

Publications Top Noted

Title: Determination of the caving zone height using numerical and physical modeling based on the undercutting method, joint dip, and spacing
Authors: Alipenhani, B., Jalilian, M., Majdi, A., Bakhshandeh Amnieh, H., Khosravi, M.H.
Year: 2024
Citations: 2
Title: Use of LBPs to estimate VBPs as observed from an investigation of physical model bimrocks
Authors: Najafvand, K., Khosravi, M.H., Amini, M., Medley, E.
Year: 2024
Citations: 0
Title: Introducing a new rock abrasivity index using a scaled down disc cutter
Authors: Moradi, M., Khosravi, M.H., Hamidi, J.K.
Year: 2024
Citations: 1
Title: Soil Arching and Ground Deformation around Tunnels in Sandy Grounds: Review and New Insights
Authors: Khandouzi, G., Khosravi, M.H.
Year: 2024
Citations: 2
Title: Numerical modelling of cohesive-frictional soil behind inclined retaining wall under passive translation mode
Authors: Sarfaraz, H., Khosravi, M.H., Pipatpongsa, T.
Year: 2024
Citations: 0
Title: Performance Evaluation of Artificial Neural Networks and Support Vector Regression in Tunneling-Induced Settlement Prediction Incorporating Umbrella Arch Method Characteristics
Authors: Varjovi, M.A., Rahmanpour, M., Khosravi, M.H., Majdi, A., Le, B.T.
Year: 2024
Citations: 1
Title: A review on the buried pipeline responses to tunneling-induced ground settlements
Authors: Mahmoudi, H., Khandouzi, G., Khosravi, M.H.
Year: 2024
Citations: 0
Title: Mobilization of Cohesion and Friction Angle of Intact Rocks in the Shearing Process
Authors: Alidaryan, M., Khosravi, M.H., Bahaaddini, M., Moosavi, M., Roshan, H.
Year: 2023
Citations: 3
Title: An analytical investigation of soil arching induced by tunneling in sandy ground
Authors: Khandouzi, G., Khosravi, M.H.
Year: 2023
Citations: 10
Title: Theoretical and Numerical Analysis of Cohesive-Frictional Backfill against Battered Retaining Wall under Active Translation Mode
Authors: Sarfaraz, H., Khosravi, M.H., Pipatpongsa, T.
Year: 2023
Citations: 7

Tharindu Madhushanka | Engineering | Best Researcher Award

Posted on 17/12/202417/12/2024 by ScienceFather

Mr. Tharindu Madhushanka | Engineering | Best Researcher Award

Engineer at Browns Engineering and Construction, Sri Lanka

Mr. Tharindu Indunil Madhushanka is a promising researcher and civil engineering professional from the University of Moratuwa, Sri Lanka. He holds a Master of Science in Civil Engineering, with a focus on using artificial intelligence for flood forecasting, specifically in the Polonnaruwa region. His research integrates machine learning techniques such as LSTM, ANN, and Transformer models to predict water levels using meteorological and hydrological data. Tharindu has also contributed to sustainable construction through his undergraduate research on the thermal performance and embodied energy of precast panel buildings. His academic achievements include a GPA of 3.54 in Civil Engineering and notable publications, including a paper in the Journal of Hydrologic Engineering. He has gained hands-on experience in both teaching and industry, having worked as an instructor and research assistant at the University of Moratuwa and a trainee civil engineer. Tharindu is dedicated to advancing AI applications in civil engineering for disaster management and sustainability.

Professional Profile

Google Scholar

Education

Mr. Tharindu Indunil Madhushanka has a strong educational background in civil engineering, having completed his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, where he graduated with a second-class upper division and a GPA of 3.54 out of 4.2. His undergraduate studies provided him with a solid foundation in engineering principles and practices. He further pursued a Master of Science at the same university, beginning in November 2022, with a research focus on utilizing artificial intelligence to forecast floods, particularly in the Polonnaruwa region of Sri Lanka. Under the guidance of Prof. M.T.R. Jayasinghe, his postgraduate research aims to develop machine learning models for predicting water levels using meteorological and hydrological data. This interdisciplinary approach bridges civil engineering and AI, reflecting his commitment to advancing both fields. His studies are set to culminate in July 2024, contributing valuable insights to flood risk management.

Professional Experience

Mr. Tharindu Indunil Madhushanka has gained valuable professional experience through both academic and industry roles. As a research assistant at the Department of Civil Engineering, University of Moratuwa, he contributed to various engineering modules, including Mechanics, Structural Mechanics, and the Design of Large Structures. His responsibilities included assisting in teaching and providing support for courses such as Building Construction & Materials and Design of Masonry and Timber Structures. Additionally, Tharindu worked as an instructor in the Department of Computer Science Engineering, teaching Programming Fundamentals from June to September 2024. His industry experience includes serving as a trainee civil engineer at RR Construction (Pvt) Ltd, where he was involved in significant projects such as the Mahaweli Water Security Investment Program. These projects, including the Minipe Left Bank Canal Rehabilitation and North-Western Province Canal Project, provided him with hands-on experience in large-scale civil engineering works, enhancing his practical skills.

Research Interest

Mr. Tharindu Indunil Madhushanka’s research interests lie at the intersection of civil engineering and artificial intelligence, with a focus on disaster risk management and sustainable construction. His primary research area is the use of machine learning techniques, particularly deep learning models like LSTM, ANN, and Transformer, to forecast floods and predict water levels in flood-prone regions, such as Polonnaruwa, Sri Lanka. By utilizing meteorological and hydrological data, Tharindu aims to enhance flood prediction systems, providing valuable insights for mitigating the impacts of natural disasters. Additionally, he is interested in sustainable building practices, as demonstrated by his undergraduate research on the thermal performance and embodied energy of precast panel buildings. Tharindu’s work seeks to improve the environmental efficiency of construction materials and methods, making buildings more energy-efficient over their life cycles. His research reflects his commitment to advancing both AI applications and sustainability within the civil engineering field.

Award and Honor

Mr. Tharindu Indunil Madhushanka has achieved notable academic recognition throughout his educational journey. He graduated with a second-class upper division in his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, with a commendable GPA of 3.54 out of 4.2. This achievement underscores his strong academic performance and dedication to his studies. Tharindu has also earned recognition for his research contributions, particularly in the field of flood forecasting using artificial intelligence. His publication, “Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning,” in the Journal of Hydrologic Engineering, demonstrates the impact of his work on flood management. Although his H-index is currently 1, it reflects his emerging influence in the research community. Tharindu’s research on sustainable building practices, including the thermal performance of precast panel buildings, has been presented at international conferences, further highlighting his growing recognition within the civil engineering and AI research communities.

Conclusion

Tharindu Indunil Madhushanka demonstrates a strong foundation in innovative, interdisciplinary research, particularly in leveraging artificial intelligence for flood forecasting and sustainable building practices. His academic achievements, technical expertise, and impactful research in disaster management are highly commendable.

Publications Top Noted

Title: Multi Day Ahead Flood Prediction in South Asian Tropical Zone Using Deep Learning
Authors: T Madhushanka, T Jayasinghe, R Rajapakse
Year: 2024
Cited by: 1
Title: Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning
Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
Journal: Journal of Hydrologic Engineering 30 (1), 04024054
Year: 2025
Cited by: Not available
Title: Behavior of LSTM and Transformer Deep Learning Models in Flood Simulation Considering South Asian Tropical Climate
Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
Year: 2024
Cited by: Not available
Title: Transformer & LSTM Based Models for Multi-Day Ahead Flood Prediction in Tropical Climates
Authors: T Madhushanka, T Jayasinghe, R Rajapakse
Year: 2024
Cited by: Not available
Available at: SSRN 4746297
Title: Flood Prediction for Tropical Climates Using LSTM and Transformer Machine Learning Models
Authors: T Madhushanka, T Jayasinghe, R Rajapakse
Year: 2024
Cited by: Not available
Available at: SSRN 4736261
Title: LONG SHORT-TERM MEMORY (LSTM) & FEEDFORWARD ARTIFICIAL NEURAL NETWORK (ANN) FOR FLOOD PREDICTION
Authors: G.W.T.I. Madhushanka, M.T.R. Jayasinghe, R.A. Rajapakse
Event: Proceedings of the 14th International Conference on Sustainable Built …
Year: 2023
Cited by: Not available
Title: Thermal Performance of Precast Panel Buildings
Authors: G Madhushanka, SS Bandaranayaka, MTR Jayasinghe, H Herath
Event: University of Ruhuna
Year: 2023
Cited by: Not available

Daniel Mmereki | Engineering | Best Researcher Award

Posted on 03/12/202405/12/2024 by ScienceFather

Dr. Daniel Mmereki | Engineering | Best Researcher Award

Research Coordinator at University of the Witwatersrand, South Africa

Daniel Mmereki is a Postdoctoral Research Fellow at the School of Public Health in Johannesburg, South Africa, with an academic background rooted in environmental science and exposure science. He holds a PhD in Engineering (Exposure Science) from Chongqing University, China, and an MSc in Environmental Science from the University of Botswana. Daniel has garnered considerable international recognition, as evidenced by his NRF C2 rating, and has experience working across several countries, including Botswana, China, Vietnam, and South Africa. His work bridges multiple disciplines, integrating environmental science, public health, and advanced technologies such as AI and machine learning. Daniel is passionate about addressing global challenges, particularly those related to environmental health and public health. His expertise includes environmental exposure assessments, statistical methods, research project management, and postgraduate student supervision.

Professional Profile

Education

Daniel Mmereki’s academic journey is distinguished by degrees and training in environmental science and exposure science. He earned his PhD in Engineering (Exposure Science) from Chongqing University in China, a program that allowed him to gain expertise in assessing environmental exposures and their implications on public health. Prior to his PhD, he completed his MSc in Environmental Science and a Bachelor’s degree in Environmental Science, both at the University of Botswana. His education is complemented by additional specialized training in statistical analysis, research project management, and machine learning. These qualifications equip him with a multidisciplinary approach to tackling complex research challenges. Throughout his academic career, Daniel has been committed to gaining in-depth knowledge and improving his technical skills in environmental and public health research.

Professional Experience

Daniel has accumulated extensive professional experience in academic and research settings, both in South Africa and internationally. As a Postdoctoral Research Fellow at the School of Public Health in Johannesburg, he is involved in advanced public health research, focusing on environmental exposures and their impact on human health. His earlier work includes conducting research across Botswana, China, and Vietnam, where he applied his expertise in exposure science to a variety of environmental challenges. Additionally, Daniel has supervised postgraduate students, contributing to the academic development of emerging researchers. His professional experience also includes training in specialized areas such as project budgeting, writing research proposals, and applying statistical methods using software like STATA, STATISTICA, and SPSS. These roles have honed his skills in research leadership, project management, and mentorship.

Research Interests

Daniel Mmereki’s research interests lie at the intersection of environmental science, exposure science, and public health. He focuses on understanding the environmental factors that influence human health, particularly in the context of global environmental changes. His work involves assessing exposure to environmental pollutants and their health effects, with a special interest in how these factors contribute to chronic diseases. Daniel’s recent interests also include exploring the application of machine learning and AI techniques in public health research, aiming to identify patterns and trends in environmental health data. He is particularly passionate about addressing global public health challenges through data-driven approaches and interdisciplinary solutions. His research contributes to a better understanding of environmental health risks and aims to inform policy and public health strategies aimed at reducing these risks.

Awards and Honors

Daniel Mmereki has been recognized for his significant contributions to environmental science and public health research. His notable recognition includes the NRF C2 rating, which signifies considerable international recognition for his research impact and influence. This prestigious rating is a testament to his contributions to the field, particularly in the areas of exposure science and environmental health. Daniel has also received various honors and awards throughout his academic and professional career for his innovative research projects and academic leadership. His ability to merge advanced statistical methods with environmental science has positioned him as a respected researcher in his field. As he continues his career, Daniel’s work is expected to inspire further recognition for its global impact on public health and environmental policy.

Conclusion

Daniel Mmereki has a solid academic and research foundation with significant international experience and recognition in his field. His achievements in environmental science, exposure science, and public health demonstrate his capability for the Best Researcher Award. However, to further solidify his candidacy, he could focus on enhancing the public health impact of his work, increasing his publication presence, and applying machine learning in novel ways within his research areas. Overall, he has the potential to be a standout researcher with further refinement of these aspects.

Publications Top Noted

Bladder cancer: a retrospective audit at a single radiation oncology unit of an academic hospital in Johannesburg, South Africa
📝 Authors: Oliver, T., Ramiah, D., Mmereki, D., Hugo, M., Ayeni, O.A.
📅 Year: 2024
📚 Citations: 0
Phthalates on indoor surfaces and associated exposure via surface touch behavior: Observation in university dormitories and its implications
📝 Authors: Yuan, F., Sun, Y., Li, N., Xu, Y., Bu, Z.
📅 Year: 2024
📚 Citations: 0
The management and prevention of food losses and waste in low- and middle-income countries: A mini-review in the Africa region
📝 Authors: Mmereki, D., David, V.E., Wreh Brownell, A.H.
📅 Year: 2024
📚 Citations: 6
Reducing children’s exposure to di(2-ethylhexyl) phthalate in homes and kindergartens in China: Impact on lifetime cancer risks and burden of disease
📝 Authors: Tao, D., Sun, W., Mo, D., Dong, C., Bu, Z.
📅 Year: 2024
📚 Citations: 1
Status of health care waste management plans and practices in public health care facilities in Gauteng Province, South Africa
📝 Authors: Ramodipa, T., Engelbrecht, K., Mokgobu, I., Mmereki, D.
📅 Year: 2023
📚 Citations: 1
Application of Innovative Materials and Methods in Green Buildings and Associated Occupational Exposure and Health of Construction Workers: A Systematic Literature Review
📝 Authors: Mmereki, D., Brouwer, D.
📅 Year: 2022
📚 Citations: 1
Waste-to-energy in a developing country: The state of landfill gas to energy in the Republic of South Africa
📝 Authors: Mbazima, S.J., Masekameni, M.D., Mmereki, D.
📅 Year: 2022
📚 Citations: 14
Exposure to phthalates in the sleeping microenvironment of university dormitories: A preliminary estimate based on skin wipe and dust sampling
📝 Authors: Yao, J., Hu, M., Yuan, F., Zheng, Y., Bu, Z.
📅 Year: 2022
📚 Citations: 8
Modeled exposure to phthalates via inhalation and dermal pathway in children’s sleeping environment: A preliminary study and its implications
📝 Authors: Bu, Z., Dong, C., Mmereki, D., Ye, Y., Cheng, Z.
📅 Year: 2021
📚 Citations: 13
Phthalates in Chinese vehicular environments: Source emissions, concentrations, and human exposure
📝 Authors: Bu, Z., Hu, M., Yuan, F., Cao, J., Zheng, Y.
📅 Year: 2021
📚 Citations: 8

Babatunde Ogunbayo | Engineering | Best Researcher Award

Posted on 30/10/202430/10/2024 by ScienceFather

Mr. Babatunde Ogunbayo | Engineering | Best Researcher Award

Research Student at aof Engineering and Built Environment, University of Johannesburg, South Africa

Mr. Babatunde Ogunbayo is an accomplished professional specializing in Quantity Surveying and Construction Management with a robust academic and industry background. His expertise spans project cost management, budgeting, contract administration, and construction project planning, making him an essential contributor to his field. Known for his analytical approach, Ogunbayo has played key roles in various construction projects, ensuring efficient resource allocation and cost control. He is also actively engaged in academia, providing guidance to students and participating in research to advance construction management practices. Through his work, he bridges the gap between theory and practice, enabling future industry professionals to gain insights grounded in real-world applications. Mr. Ogunbayo’s contributions, marked by a strong commitment to quality and precision, have positioned him as a respected figure in the field, impacting both industry standards and educational practices in construction management.

Professional Profile

Education

Mr. Babatunde Ogunbayo has a strong academic foundation in Quantity Surveying and Construction Management, which underpins his expertise and professional contributions. His educational journey includes advanced studies in these fields, equipping him with critical skills in cost estimation, budgeting, and contract management. Through rigorous training, he has developed a keen analytical perspective essential for project planning and resource allocation. His academic qualifications not only reflect his commitment to excellence but also support his active involvement in research and teaching, where he imparts valuable knowledge to emerging professionals in construction management. Mr. Ogunbayo’s educational background aligns seamlessly with his hands-on experience, allowing him to effectively bridge theoretical concepts with practical applications. This blend of education and practical experience makes him a knowledgeable resource in Quantity Surveying, enabling him to uphold high standards of precision and efficiency in his field.

Professional Experience

Mr. Babatunde Ogunbayo brings extensive professional experience in Quantity Surveying and Construction Management, marked by his roles in cost management, budgeting, and contract administration on diverse projects. Known for his expertise in efficient resource allocation and cost control, Ogunbayo has overseen various stages of construction projects, from planning and estimation to project execution and post-completion review. His hands-on approach and attention to detail ensure that projects adhere to budget and quality standards, while his strategic insights contribute to optimizing workflows and minimizing waste. Alongside his industry roles, Ogunbayo is active in academia, where he mentors students and contributes to research in construction management, furthering best practices in the field. His combination of technical skills and project oversight experience has earned him a reputation as a reliable and effective leader in the industry, making a lasting impact on both practical and academic circles in construction management.

Research Interests

Mr. Babatunde Ogunbayo’s research interests center on advancing construction management practices, with a particular focus on cost control, project efficiency, and sustainable building solutions. He is deeply invested in exploring methods to optimize resource allocation and reduce waste, aiming to improve the financial and environmental impact of construction projects. His work emphasizes the integration of innovative cost-estimation models and advanced budgeting techniques, providing frameworks for more accurate financial forecasting in large-scale projects. Additionally, Ogunbayo is interested in sustainable construction, investigating materials and methods that minimize ecological footprints without compromising quality. His research also includes developing strategies for effective contract management and exploring digital tools to streamline project management processes. Through these efforts, Ogunbayo contributes to building industry knowledge, fostering practices that support both economic efficiency and environmental responsibility, and positioning him as a forward-thinking leader in construction research.

Awards and Honors

Mr. Babatunde Ogunbayo has received notable awards and honors that underscore his contributions and commitment to excellence in Quantity Surveying and Construction Management. His accolades highlight both his technical skills and leadership qualities in the field. Recognized for his expertise in cost management, budgeting, and resource optimization, Ogunbayo has been celebrated for his role in enhancing project efficiency and precision in construction practices. His dedication to advancing sustainable and innovative construction solutions has also earned him industry acknowledgment. Additionally, his academic achievements and involvement in mentoring emerging professionals have been commended by his peers, reflecting his influence in both educational and professional circles. These awards underscore Ogunbayo’s impact on construction management, recognizing his contributions to developing high standards in cost control and contract administration, as well as his commitment to fostering growth and knowledge within the industry.

Conclusion

Bamgbose is a strong candidate for the Research for Excellence in Best Researcher Award based on his extensive experience, academic achievements, and contributions to construction management and building technology. His impact on the field is evident through his hands-on project management roles and commitment to industry standards. Addressing areas like research publications and international certifications would further enhance his qualifications and elevate his standing in the competitive landscape for research awards.

Publication Top Noted

Title: Inhibiting Factors to the Implementation of Preferential Procurement Policy in the South African Construction Industry
Authors: Tau, L.J., Ogunbayo, B.F., Aigbavboa, C.O.
Year: 2024
Citations: 0
Title: A Systematic Review of the Applications of AI in a Sustainable Building’s Lifecycle
Authors: Adewale, B.A., Ene, V.O., Ogunbayo, B.F., Aigbavboa, C.O.
Year: 2024
Citations: 1
Title: Barriers to Building Information Modelling Adoption in Small and Medium Enterprises: Nigerian Construction Industry Perspectives
Authors: Bamgbose, O.A., Ogunbayo, B.F., Aigbavboa, C.O.
Year: 2024
Citations: 2
Title: A Principal Component Analysis of Corporate Dispositions for Sustainable Building Construction in South Africa
Authors: Emere, C.E., Aigbavboa, C.O., Oguntona, O.A., Ogunbayo, B.F.
Year: 2024
Citations: 0
Title: Assessing Monitoring and Evaluation Effectiveness for Projects in the Construction Industry
Authors: Ogunbayo, B.F., Aigbavboa, C.O., Ahmed, S., Stevens, M.
Year: 2024
Citations: 0
Title: A Review of Applicable Approaches to Safety Incentive Schemes Design in the Construction Industry
Authors: Ogundipe, K.E., Aigbavboa, C.O., Ogunbayo, B.F.
Year: 2024
Citations: 0
Title: Strategies for Successful Monitoring and Evaluation Practices in Construction Projects
Authors: Ogunbayo, B.F., Ramabodu, M.S., Adewale, B.A., Ogundipe, K.E.
Year: 2024
Citations: 0
Title: Encumbrances to Social Media Applications in the South African Construction Industry
Authors: Oguntona, O.A., Ndoda, U., Akinradewo, O., Ogunbayo, B.F., Aigbavboa, C.O.
Year: 2024
Citations: 0
Title: Assessing Current Health and Safety Practices in the Construction Industry in the Fourth Industry Revolution
Authors: Abina, O.G., Ogunbayo, B.F., Aigbavboa, C.
Year: 2024
Citations: 0
Title: A Review of Barriers to Safety Incentives Design and Implementation in the Construction Industry
Authors: Ogundipe, K.E., Ogunbayo, B.F., Aigbavboa, C.O.
Year: 2024
Citations: 0

Mohammadreza Esmaeilidehkordi | Engineering | Best Researcher Award

Posted on 26/10/202426/10/2024 by ScienceFather

Mr. Mohammadreza Esmaeilidehkordi | Engineering | Best Researcher Award

Author at Isfahan University of Technology, Iran

Mohamadreza Esmaeilidehkordi is an accomplished electrical engineer and researcher with expertise in control systems, machine learning, and nonlinear observation. He has a strong technical background and extensive hands-on experience in control systems and artificial intelligence, which he applies in interdisciplinary research projects. Known for his innovative approach to problem-solving, he has made notable contributions to fields like control system design, tumor detection, and fault detection in industrial systems. With a drive for academic excellence, Mohamadreza has authored impactful research publications and actively seeks to push the boundaries of his field through advanced techniques and new applications.

Professional Profile

Education

Mohamadreza completed his Master’s in Electrical Engineering (Control Systems) at Isfahan University of Technology (IUT), one of Iran’s leading institutions. He achieved a high GPA (3.90/4), with a thesis on “Online Sequential Type-2 Fuzzy Wavelet Extreme Learning Machine” that applied advanced machine learning techniques to nonlinear observer problems. His academic journey began with a Bachelor’s degree in Electrical Engineering from the Islamic Azad University of Najafabad, where he worked on fuzzy systems to control twin rotor systems. His rigorous coursework in neuro-fuzzy networks, adaptive control, and system identification provided a foundation that has deeply informed his research trajectory and professional work.

Professional Experience

Mohamadreza has over five years of professional experience in electrical engineering and research roles. His career began with an internship and later a position as an electrical engineer at Pars Taban Zagros Engineering Technical Company, where he developed and maintained electrical control panels. Concurrently, he served as a teaching and research assistant at IUT, focusing on linear control and fault detection of three-phase motors using fuzzy wavelet algorithms. His project management experience within IUT’s Scientific Association, where he led a fault detection project, speaks to his organizational skills and ability to apply academic research in practical, industrial contexts.

Research Interests

Mohamadreza’s research interests are rooted in control systems, nonlinear control, and artificial intelligence. He is particularly drawn to the integration of machine learning algorithms in control systems, aiming to enhance fault detection accuracy and develop adaptive models for complex systems. His interdisciplinary pursuits have led him to apply AI-driven techniques, such as fuzzy wavelet algorithms, to medical fields like tumor detection, demonstrating the versatility of his expertise. With a focus on real-world applications, he actively explores innovative methods to improve system efficiency and reliability, contributing meaningful advancements to both engineering and health sciences.

Awards and Honors

Throughout his academic and professional journey, Mohamadreza has been recognized for his exceptional aptitude and dedication. Notably, he ranked in the top 0.1% on Iran’s National Graduate Entrance Exam for Electrical Engineering, securing a full-tuition scholarship at IUT. Additionally, he achieved top 0.5% placement in the national exam for his undergraduate program. His academic excellence has been consistently recognized, underscoring his standing as a leading figure among his peers. Complementing his awards, he has also completed high-impact certifications in machine learning and programming, showcasing his commitment to continuous improvement and leadership in his field.

Conclusion

Overall, Mohamadreza Esmaeilidehkordi possesses a robust profile suitable for consideration for the Best Researcher Award. His strong technical foundation, focused research contributions, and dedication to control systems and machine learning applications make him a promising candidate. Addressing areas such as international exposure and language skills could further enhance his standing in future award considerations.

Publication Top Noted

Online Sequential Type-2 Fuzzy Wavelet Extreme Learning Machine: A Nonlinear Observer Application
Authors: M. Esmaeilidehkordi, M. Zekri, I. Izadi, F. Sheikholeslam
Year: 2024
Citation: Esmaeilidehkordi, M., Zekri, M., Izadi, I., & Sheikholeslam, F. (2024). Online Sequential Type-2 Fuzzy Wavelet Extreme Learning Machine: A Nonlinear Observer Application. Fuzzy Sets and Systems, 108897.
Attention U-net approach in predicting Intensity Modulated Radiation Therapy dose distribution in brain glioma tumor
Authors: M. Naeemi, M. R. Esmaeili, I. Abedi
Year: 2023
Citation: Naeemi, M., Esmaeili, M. R., & Abedi, I. (2023). Attention U-net approach in predicting Intensity Modulated Radiation Therapy dose distribution in brain glioma tumor. arXiv preprint arXiv:2305.07033.
Utilizing Armchair and Zigzag Nanoribbons for Improved Detection of So2 Toxicity with Graphene Biosensor
Authors: M. Ramezani Farani, M. Esmaeilidehkordi, I. Alipourfard, M. Azarian, …
Year: 2023
Citation: Ramezani Farani, M., Esmaeilidehkordi, M., Alipourfard, I., Azarian, M., & others. (2023). Utilizing Armchair and Zigzag Nanoribbons for Improved Detection of So2 Toxicity with Graphene Biosensor. Available at SSRN 4852941.
Fuzzy Wavelet Online Sequential Extreme Learning Machine Applied as an Observer for Nonlinear Systems
Authors: [Author names not provided, but should be included]
Year: [Year not provided, please specify if known]
Citation: [Citation information not provided, please specify if known].