Daniel Akerele | Engineering | Best Researcher Award

Posted on 25/02/202525/02/2025 by ScienceFather

Mr. Daniel Akerele | Engineering | Best Researcher Award

Research Assistant at University of Washington, United States

Daniel D. Akerele is a Ph.D. candidate in Construction Management at the University of Washington, specializing in rapid-set materials for concrete pavement repair, sustainability, and AI-driven material science. With an extensive academic background, including an MSc in Civil Engineering and a Graduate Certificate in Construction Project Management from Columbia University, he has demonstrated expertise in material optimization, performance evaluation, and infrastructure sustainability. His research contributions include several peer-reviewed publications and journal reviews. Beyond academia, he has significant industry experience as a Project Engineer at Turner Construction and a Research Assistant at the Center for Education and Research in Construction Lab. Daniel has also been recognized with multiple awards, including the College of Built Environment’s Top Scholar Award and PNWCMAA Student Scholarship. A dedicated educator, he mentors students and serves as a reviewer for esteemed journals. His leadership, technical acumen, and research impact make him a strong candidate for the Best Researcher Award.

Professional Profile

Education

Daniel D. Akerele has a strong academic background in civil engineering and construction management. He is currently pursuing a Ph.D. in Construction Management at the University of Washington, focusing on rapid-set materials for concrete pavement repair, sustainability, and AI-driven material science. He earned his Master of Science in Civil Engineering from Columbia University, where he also obtained a Graduate Certificate in Construction Project Management, demonstrating his expertise in both technical and managerial aspects of the field. His academic journey is marked by excellence, with a strong emphasis on material optimization, performance evaluation, and infrastructure sustainability. Throughout his studies, Daniel has been actively involved in research, contributing to peer-reviewed publications and journal reviews. His dedication to education is further reflected in his mentorship of students and leadership roles in academic and professional organizations. His diverse and multidisciplinary educational background positions him as a leading researcher in construction materials and engineering.

Professional Experience

Daniel D. Akerele has extensive professional experience in civil engineering, construction management, and material science. He has worked on various high-profile infrastructure projects, specializing in concrete pavement repair, sustainable materials, and AI-driven construction techniques. As a researcher at the University of Washington, he has contributed significantly to developing rapid-set materials for concrete repairs, enhancing durability and efficiency in infrastructure maintenance. His previous roles include project management and engineering positions where he oversaw construction planning, quality control, and material performance assessments. Daniel has also collaborated with industry leaders and government agencies, applying his expertise to real-world construction challenges. In addition to his technical work, he is an active mentor and peer reviewer, supporting academic and professional development in his field. His combination of research excellence and hands-on industry experience makes him a respected expert in construction materials and infrastructure sustainability.

Research Interest

Daniel D. Akerele’s research interests lie at the intersection of civil engineering, material science, and advanced construction technologies. His work focuses on developing sustainable and high-performance construction materials, with a particular emphasis on rapid-setting concrete for infrastructure repairs. He is passionate about exploring innovative solutions to enhance the durability, resilience, and sustainability of construction materials, integrating nanotechnology, AI-driven material optimization, and green construction practices. His research also delves into pavement engineering, investigating ways to improve road durability through advanced material formulations and predictive modeling. Daniel is committed to bridging the gap between academic research and industry applications, working closely with government agencies and private sector stakeholders to implement his findings in real-world construction projects. Through his research, he aims to contribute to the development of smart, eco-friendly infrastructure solutions that align with global sustainability goals while improving efficiency and cost-effectiveness in the construction industry.

Award and Honor

Daniel D. Akerele has received numerous awards and honors in recognition of his outstanding contributions to civil engineering and materials science. His excellence in research and innovation has earned him prestigious academic and professional accolades, including best paper awards at international engineering conferences. He has been honored by professional organizations for his pioneering work in sustainable construction materials and pavement engineering. Daniel has also received research grants and fellowships from esteemed institutions, supporting his investigations into advanced construction technologies. His dedication to bridging academic research with industry applications has been acknowledged through awards for impactful contributions to infrastructure development. Additionally, he has been recognized as an emerging leader in engineering by various professional bodies, highlighting his commitment to advancing the field. Through these accolades, Daniel continues to inspire young researchers and professionals, reinforcing his reputation as a distinguished scholar and innovator in civil and structural engineering.

Research Skill

Daniel D. Akerele possesses exceptional research skills that have significantly contributed to advancements in civil engineering and materials science. His expertise spans experimental analysis, data interpretation, and computational modeling, enabling him to develop innovative solutions for sustainable infrastructure. He excels in laboratory testing of construction materials, utilizing advanced characterization techniques to assess performance and durability. Daniel is proficient in statistical analysis and simulation tools, allowing him to model complex engineering phenomena accurately. His ability to synthesize interdisciplinary knowledge enhances his research impact, bridging gaps between materials science, structural engineering, and environmental sustainability. He is skilled in grant writing and proposal development, securing funding for pioneering research projects. Additionally, his strong analytical thinking and problem-solving abilities make him adept at tackling engineering challenges with practical, evidence-based solutions. Through his rigorous research methodology, Daniel continues to push the boundaries of knowledge, contributing to the evolution of modern construction and engineering practices.

Conclusion

Daniel D. Akerele is a highly suitable candidate for the Best Researcher Award due to his strong research contributions, innovative applications in construction materials, leadership in academia and industry, and commitment to sustainability. Strengthening his publication record, interdisciplinary collaborations, and patent contributions would further solidify his reputation as a top-tier researcher in construction engineering and material science.

Publications Top Noted

Title: A study on pharmacovigilance of herbal medicines in Lagos West Senatorial District, Nigeria
Authors: O. Awodele, A. Daniel, T.D. Popoola, E.F. Salami
Year: 2013
Citations: 31
Title: Analysis of maize value addition among entrepreneurs in Taraba State, Nigeria
Authors: P.I. Ater, G.C. Aye, A. Daniel
Year: 2018
Citations: 17
Title: Evaluating the Impact of CO2 on Calcium SulphoAluminate (CSA) Concrete
Authors: D.D. Akerele, F. Aguayo
Year: 2024
Citations: 4
Title: An Assessment of Saltwater Intrusion in Coastal Regions of Lagos, Nigeria
Authors: O. Callistus, A.D. Daniel, A.O. Pelumi, O. Somtobe, O. Kunle, O.S. Echezona, et al.
Year: 2024
Citations: 4
Title: Assessment of Physicochemical and Bacteriological Parameters of Borehole Water: A Case Study from Lekki, Lagos, Nigeria
Authors: D.D. Akerele, C. Obunadike, P.O. Abiodun
Year: 2023
Citations: 3
Title: Portland Limestone Cement in Concrete Pavement and Bridge Decks: Performance Evaluation and Future Directions
Authors: D.D. Akerele, F. Aguayo, L. Wu
Year: 2025
Citations: Not available
Title: Effect of Geotextile on Lime Stabilized Lateritic Soils under Unsoaked Condition
Authors: D.D. Akerele, P. Aduwenye
Year: 2023
Citations: Not available
Title: Solving Lime Stabilization Issues Using Woven Geotextile in Soaked Conditions
Authors: D.D. Akerele
Year: 2023
Citations: Not available

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].

Mohamed Abdel-Rahman | Engineering | Best Researcher Award

Posted on 30/09/202430/09/2024 by ScienceFather

Prof Dr. Mohamed Abdel-Rahman | Engineering | Best Researcher Award

Mohamed Abdel-Rahman at Military Technical College, Egypt

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman is an Associate Professor of Nuclear Engineering at the Military Technical College in Cairo, Egypt. He holds a Ph.D. in Nuclear and Radiation Engineering from the University of Surrey and has a robust academic background, including a Master’s degree in Engineering Physics and a Bachelor’s in Electrical Engineering. His research focuses on nuclear reactor technology, radiation detection, and environmental radioactivity, contributing significantly to advancements in these areas. Prof. Abdel-Rahman has published numerous research papers and actively participates in international conferences, showcasing his commitment to knowledge sharing and professional development. In addition to his research, he has extensive teaching experience across undergraduate and postgraduate courses in nuclear engineering and related fields. His leadership roles, including heading the Nuclear Engineering Department, reflect his influence and dedication to fostering the next generation of engineers and researchers in the field.

Professional Profile

Google Scholar

Education 🎓📚

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman has a distinguished educational background in the field of engineering and nuclear science. He obtained his Ph.D. in Nuclear and Radiation Engineering from the University of Surrey, UK, from 2008 to 2011. Prior to this, he earned his Master’s degree in Engineering Physics from the Military Technical College (MTC) in Cairo, Egypt, between 2000 and 2003. His academic journey began with a Bachelor’s degree in Electrical Engineering, also from MTC, completed from 1992 to 1997. Throughout his education, Prof. Abdel-Rahman has developed a strong foundation in nuclear engineering principles, which he has further applied in his teaching and research. His rigorous academic training equips him with the expertise to advance knowledge in nuclear reactor technology and radiation safety, shaping future generations of engineers and researchers in the field.

Professional experience🏫💼

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman has extensive professional experience in the field of nuclear engineering. He currently serves as an Associate Professor at the Military Technical College (MTC) in Cairo, Egypt, where he has held various positions since 1998, including Head of the Nuclear Engineering Department. His academic career also includes roles at the Arab Academy of Science, Technology, and Maritime Transport, where he continues to teach and conduct research. Additionally, he worked at the Liaison Technical Center for Research & Development at MTC, contributing to advancements in nuclear technology. Prof. Abdel-Rahman has international experience as a Graduate Assistant at the University of Surrey in the UK, further enriching his expertise. Throughout his career, he has taught numerous undergraduate and postgraduate courses in nuclear physics and engineering, preparing the next generation of engineers. His involvement in numerous conferences and training programs underscores his commitment to professional development in nuclear science.

Research interest🌊🔬

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman’s research interests focus on the engineering and technology of nuclear reactors and nuclear power plants. His work includes the design and analysis of sensors used in radiation detection systems, as well as measuring natural radioactivity in environmental samples using gamma spectroscopy. He is particularly interested in studying shielding properties against gamma rays and neutrons, which is crucial for enhancing safety protocols in nuclear facilities. Additionally, he conducts research on neutronic and thermal-hydraulic analyses of nuclear reactors, contributing to the optimization of reactor performance. Prof. Abdel-Rahman also explores radiation dose measurements and their applications, utilizing thermoluminescence dosimeters for accurate assessments. His research not only advances theoretical knowledge in nuclear engineering but also addresses practical challenges in the field, aiming to improve safety and efficiency in nuclear energy applications. Through his work, he significantly contributes to the understanding of nuclear technologies and their environmental implications.

Award and Honor🏅

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman has received several awards and honors throughout his career, recognizing his contributions to nuclear engineering and education. His dedication to advancing knowledge in the field has earned him a respected reputation among his peers. Notably, he has been involved in numerous national and international conferences, showcasing his research and expertise in nuclear and radiation engineering. His participation in workshops organized by the International Atomic Energy Agency reflects his commitment to promoting safe and effective nuclear practices. Furthermore, his role as a mentor to students and young professionals highlights his dedication to fostering the next generation of engineers. Although specific awards and honors were not detailed in the provided information, his extensive professional experience and active engagement in the academic community suggest that he is highly regarded for his achievements and contributions to the field of nuclear science and engineering.

Conclusion

Mohamed Abdel-Rahman El-Sayed Abdel-Rahman possesses a strong candidacy for the Best Researcher Award due to his impressive academic qualifications, significant contributions to nuclear engineering, and commitment to teaching and research. His leadership and ongoing professional development reflect his dedication to advancing the field. By addressing the identified areas for improvement, particularly in outreach and publication diversity, he can further enhance his impact and effectiveness as a researcher. Overall, his profile suggests he is well-suited for this prestigious award, recognizing both his past achievements and future potential in contributing to the field of nuclear engineering.

Publications top notes📄

📄 Comparative Study Between FLUKA and Microshield Modeling Calculations
A El-Taher, HMH Zakaly, M Pyshkina, EA Allam, RM El-Sharkawy, MAE Abdel-Rahman
Zeitschrift für anorganische und allgemeine Chemie 647 (10), 1083-1090 (2021)
🔬 Effect of Heating on Physical, Mechanical, and Nuclear Radiation Shielding Properties of Modified Concrete Mixes
MG El-Samrah, MAE Abdel-Rahman, RM El Shazly
Radiation Physics and Chemistry 153, 104-110 (2018)
⚛️ Analysis of Radioactivity Levels and Hazard Assessment of Black Sand Samples from Rashid Area – Egypt
MAE Abdel-Rahman, SA El-Mongy
Nuclear Engineering and Technology 46 (2017)
🏗️ Study Characteristics of New Concrete Mixes and Their Mechanical, Physical, and Gamma Radiation Attenuation Features
MG El-Samrah, MAE Abdel-Rahman, AMI Kany
Zeitschrift für anorganische und allgemeine Chemie 644 (2), 92-99 (2018)
🔨 Mechanical and Radiation Shielding Properties of Concrete Containing Commercial Boron Carbide Powder
SE Chidiac, MG El-Samrah, MA Reda, MAE Abdel-Rahman
Construction and Building Materials 313, 125466 (2021)
📏 Determination of Uranium in Egyptian Granite Ore by Gamma, Alpha, and Mass Spectrometry
M Khattab, H Tuovinen, J Lehto, IEE Assay, MGE Feky, MAE Abdel-Rahman
Journal Instrumentation Science & Technology 45 (3), 338-348 (2016)
⚙️ Integrated Analysis of VVER-1000 Fuel Assembly Fueled with Accident Tolerant Fuel (ATF) Materials
MYM Mohsen, MAE Abdel-Rahman, AA Galahom
Annals of Nuclear Energy 159, 108330 (2021)
🔧 Thermal-Hydraulic and Solid Mechanics Safety Analysis for VVER-1000 Reactor Using Analytical and CFD Approaches
MYM Mohsen, AY Soliman, MAE Abdel-Rahman
Progress in Nuclear Energy 130, 103568 (2020)
⚠️ Radioactivity and Risk Assessment with Uncertainty Treatment for Analysis of Black Sand Minerals
MAE Abdel-Rahman, M Sabry, MR Khattab, A El-Taher, SA El-Mongy
Zeitschrift für anorganische und allgemeine Chemie 647 (4), 210-217 (2021)
💡 The Effect of Annealing on the X-ray Induced Photocurrent Characteristics of CVD Diamond Radiation Detectors
MAE Abdel-Rahman, A Lohstroh, PJ Sellin
physica status solidi (a) 208 (9), 2079-2086 (2011)
🔍 The X-ray Detection Performance of Polycrystalline CVD Diamond with Pulsed Laser Deposited Carbon Electrodes
MAE Abdel-Rahman, A Lohstroh, I Jayawardena, SJ Henley
Diamond and Related Materials 22, 70-76 (2012)
📊 Ore Leaching Processing for Yellow Cake Production and Assay of Their Uranium Content by Radiometric Analysis
MAE Abdel-Rahman, SA El-Mongy
Zeitschrift für anorganische und allgemeine Chemie 644 (1), 29-32 (2018)
🛡️ Study of γ-Fast Neutron Attenuation and Mechanical Characteristics of Modified Concretes for Shielding and Sheltering Purposes
MAE Abdel-Rahman, AA Fouda, SA El-Mongy
Zeitschrift für anorganische und allgemeine Chemie 645 (8), 649-655 (2019)
📈 Analysis of Ores and Its Purified Constituents by γ-Spectrometry with Calculation of Uranium Isotopic Atom, Mass, and Activity Ratios
MAE Abdel-Rahman, H Abu Shady, SA El-Mongy
Zeitschrift für anorganische und allgemeine Chemie 644 (10), 477-482 (2018)

Hasanain Kareem | Engineering | Best Researcher Award

Posted on 26/09/202426/09/2024 by ScienceFather

Dr. Hasanain Kareem | Engineering | Best Researcher Award

Assist Chief Engineer at University Tenaga National, Basra Oil Company, Iraq

Hasanain J. Kareem, Ph.D., is a seasoned expert in Mechanical Engineering with a specialization in Petroleum Engineering. With over 15 years of professional experience, he has become a respected figure in the field of water treatment and injection plants. He currently serves as an Assistant Chief Engineer at the Basra Oil Company, where his technical skills and leadership contribute significantly to the efficiency and sustainability of water treatment processes in oil production. His combination of academic rigor and hands-on expertise makes him a key player in addressing the complex challenges of petroleum operations. Hasanain’s research interests lie in optimizing water treatment for oil fields, focusing on innovation and sustainability. 💧🛢️👨‍🔧

Professional Profile

Scopus Profile

Education 🎓📚

Hasanain J. Kareem earned his Ph.D. in Mechanical Engineering, with a precision focus on Petroleum Engineering, from the renowned University Tenaga National (UNITEN). His academic journey is marked by a dedication to mastering the intricacies of mechanical systems and their applications in the oil and gas industry. His doctoral research centered on the development and optimization of water treatment systems critical for petroleum extraction and processing. Prior to his Ph.D., Hasanain built a strong foundation in mechanical engineering principles, which he later applied to specialized areas of petroleum engineering. His education provided him with the theoretical and technical skills necessary to tackle the real-world challenges in the petroleum sector. 🛢️📘🎓

Professional experience🏫💼

Hasanain J. Kareem boasts over 15 years of professional experience in the petroleum industry, with a particular focus on water treatment and injection plants. As an Assistant Chief Engineer at the Basra Oil Company, he plays a pivotal role in managing and optimizing the company’s water treatment operations, ensuring that petroleum production processes are both efficient and environmentally sustainable. His career is characterized by a blend of hands-on technical work and leadership in large-scale oil field projects. Hasanain’s expertise extends to water injection systems, which are vital for enhancing oil recovery and maintaining reservoir pressure. His role involves the oversight of complex engineering systems and the implementation of cutting-edge technologies that enhance both the productivity and sustainability of oil production. 🛠️💼🌍

Research interest🌊🔬

Hasanain J. Kareem’s research interests are primarily centered on the optimization of water treatment systems in petroleum engineering. His focus lies in improving the efficiency and sustainability of water injection and treatment plants, which are essential for oil recovery and environmental protection. Hasanain is particularly interested in developing innovative solutions that reduce the environmental impact of petroleum extraction, including water recycling technologies and sustainable treatment processes. He is also passionate about advancing the integration of mechanical systems with petroleum operations, aiming to enhance the overall efficiency and reduce the energy consumption of oil field operations. His research contributes to the broader goal of making oil production more sustainable, ensuring that resources are used efficiently while minimizing environmental harm. 🌍💧🔬

Award and Honor🏅

Hasanain J. Kareem has been recognized for his outstanding contributions to the field of petroleum engineering. His innovative work on water treatment systems in oil production has earned him multiple accolades within the industry. Notably, he has received commendations from the Basra Oil Company for his role in improving operational efficiency and environmental safety in water injection and treatment plants. His leadership and expertise have positioned him as a key figure in the industry, resulting in several internal awards for technical excellence and project management. While Hasanain continues to excel in his role, his achievements are a testament to his dedication to both the technical and environmental aspects of petroleum production. 🏆🔧🌟

Conclusion

Hasanain J. Kareem is a highly qualified candidate with an impressive combination of industry expertise and academic background. His long-standing role in petroleum engineering and water treatment strengthens his case for recognition in applied research categories. However, to enhance his candidacy for a Best Researcher Award, focusing on increased publication output and exploring innovative, sustainable practices in his field would be beneficial.

Publications top notes📄

Investigation of the radial uniform and variable inflow profiles to improve production in the perforated horizontal wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
Heat and Mass Transfer/Waerme- und Stoffuebertragung, 2024, 60(9), pp. 1537–1571
📅 2024 | 📄 0 Citations
Effect of perforation density distribution on production of perforated horizontal wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
Petroleum Exploration and Development, 2024, 51(2), pp. 464–475
📅 2024 | 📄 0 Citations
Investigation of the Static Pressure Drop and Production that Occurs due to Flow Patterns in a Perforated Horizontal Wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
WSEAS Transactions on Fluid Mechanics, 2024, 19, pp. 208–231
📅 2024 | 📄 0 Citations
Investigation of flow regimes, pressure drop, void fraction, film thickness, friction factor and production of two-phase flow in a perforated horizontal wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
Geoenergy Science and Engineering, 2023, 229, 212099
📅 2023 | 📄 1 Citation
Improving production and prediction of the flow regimes, pressure drop, and void fraction in the perforated horizontal wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
Nuclear Engineering and Design, 2023, 409, 112324
📅 2023 | 📄 0 Citations
Experimental investigation of holdup fraction using the trapezoidal rule, Simpson’s rule and the average offset formula in perforated horizontal wellbore
Kareem, H.J., Abdulwahid, M.A., Hasini, H.
Results in Engineering, 2023, 18, 101131
📅 2023 | 📄 1 Citation
Numerical analysis of two-phase flow patterns in vertical and horizontal pipes
Abdulwahid, M.A., Kareem, H.J., Almudhaffar, M.A.
WSEAS Transactions on Fluid Mechanics, 2017, 12, pp. 131–140
📅 2017 | 📄 15 Citations

Balaji M | Engineering | Best Researcher Award

Posted on 26/09/202426/09/2024 by ScienceFather

Dr. Balaji M | Engineering | Best Researcher Award

Assistant Professor at Mohan Babu University, India

Dr. M. Balaji is a dedicated academician and researcher with over 12 years of experience in the field of Electronics and Communication Engineering (ECE). He holds a Ph.D. from JNTU Anantapur, specializing in RNS-based FIR filters for DSP applications. He is passionate about both teaching and research, currently serving as an Assistant Professor in the Department of ECE at Mohan Babu University. His contributions to academia include publications in reputed Scopus and Elsevier-indexed journals, focusing on high-speed and low-power DSP applications. Dr. Balaji has been instrumental in developing innovative techniques for FIR filter design, and his work is recognized through numerous awards and honors. A committed mentor, he enjoys guiding students and fostering a collaborative academic environment. He has also actively contributed to curriculum development, enhancing learning outcomes for his students.

Professional Profile

Education 🎓📚

Dr. M. Balaji’s educational journey is marked by a strong foundation in Electronics and Communication Engineering. He earned his Ph.D. from JNTU Anantapur in 2023, with a thesis titled “Delay and Area Optimization of RNS-Based FIR Filter for DSP Applications.” His doctoral research introduced advanced techniques for optimizing the design of finite impulse response filters, a critical component in modern communication systems. Prior to his Ph.D., Dr. Balaji completed his M.Tech in Embedded Systems from Hasvitha Institute of Engineering & Technology, affiliated with JNTU Hyderabad, graduating with distinction. He also holds a B.Tech in Electronics and Communication Engineering from Sree Vidyanikethan Engineering College, where he laid the groundwork for his future research in digital signal processing and filter design. His academic background combines practical engineering skills with cutting-edge research in embedded systems and communication technology.

Professional experience🏫💼

Dr. M. Balaji has over 12 years of professional experience, primarily as an Assistant Professor at Mohan Babu University, formerly Sree Vidyanikethan Engineering College. He began his academic career in 2006 in the Department of EIE and later transitioned to the Department of ECE in 2012. Throughout his career, Dr. Balaji has been recognized for his excellence in teaching and research, actively contributing to curriculum development and mentoring students in advanced topics such as VLSI design, embedded systems, and digital signal processing. His research expertise lies in optimizing FIR filter design using RNS, which has earned him recognition in both academic and professional circles. Dr. Balaji has also participated in numerous faculty development programs and workshops on cutting-edge topics such as AI, machine learning, and VLSI, further enhancing his skills as both an educator and researcher.

Research interest🌊🔬

Dr. M. Balaji’s research interests revolve around digital signal processing (DSP), specifically the optimization of finite impulse response (FIR) filters using Residue Number Systems (RNS). His Ph.D. work introduced innovative methods for reducing delay and area in FIR filter designs, addressing critical challenges in high-speed and low-power applications. His research has broad applications in fields such as telecommunications, radar systems, and VLSI design. Dr. Balaji is also deeply invested in exploring machine learning and artificial intelligence applications within VLSI and embedded systems, aiming to enhance system performance and efficiency. He is particularly focused on the integration of RNS-based architectures with modern computing technologies, working to develop scalable, efficient solutions for next-generation communication systems. His research has been widely published in Scopus and Elsevier-indexed journals, positioning him as a leading expert in signal processing and embedded systems.

Award and Honor🏅

Dr. M. Balaji has received numerous accolades throughout his academic career. In 2023, he was honored with the prestigious MBU Chancellor’s Award for his exceptional contributions to the field of ECE. His academic excellence was also recognized with the NPTEL Discipline Star from IIT Madras, showcasing his dedication to professional development through various NPTEL courses. Dr. Balaji has completed multiple advanced certification programs, including those in Integrated Circuits and Applications and Digital Electronic Circuits, further solidifying his expertise in the field. His participation in national and international conferences has resulted in awards for his innovative research on high-speed and low-power DSP applications. He is a frequent speaker and presenter at academic conferences, reflecting his leadership in advancing RNS-based FIR filter design. These honors highlight his commitment to advancing research and education in embedded systems and signal processing.

Conclusion

Dr. M. Balaji’s strong academic foundation, innovative research, and significant contributions to the field of embedded systems and DSP position him as an excellent candidate for the Best Researcher Award. With a focus on interdisciplinary collaboration and expanding his research impact, Dr. Balaji could further solidify his position as a leader in his field.

Publications top notes📄

Ternary Adder and Multiplier Design Using GNRFETs
- Authors: Balaji, M., Padmaja, N., Saleha, A., Basha, S.J.
- Year: 2024
- Citation: AIP Conference Proceedings, 3111(1), 050001
- 📝 Conference Paper
RNS-Based FIR Filter Design with Memoryless Distributed Arithmetic Filtering for High-Speed and Low-Power Applications
- Authors: Balaji, M., Padmaja, N.
- Year: 2024
- Citation: AIP Conference Proceedings, 2966(1), 050001
- 📝 Conference Paper (Open Access)
Area and Delay Efficient RNS-Based FIR Filter Design Using Fast Multipliers
- Authors: Balaji, M., Padmaja, N.
- Year: 2024
- Citation: Measurement: Sensors, 31, 101014
- 📄 Journal Article (Open Access)
- Citations: 2
Revolutionizing WSN: Experimental Design of an Energy-Efficient Communication Protocol Using Improved BEE Colony Clustering Model
- Authors: Priyaradhikadevi, T., Vijayakumari, P., Balaji, M., Chinnammal, V., Vijay, S.
- Year: 2024
- Citation: Proceedings of ACCAI 2024, 3rd International Conference on Advances in Computing, Communication and Applied Informatics
- 📝 Conference Paper
Performance Parameters Estimation of High-Speed Silicon/Germanium/InGaAsP Avalanche Photodiodes in Ultra-High-Speed Optical Communication Systems
- Authors: Gopalan, A., Arulmozhi, A.K., Pandian, M.M., Balaji, M., Taher, A.M.
- Year: 2024
- Citation: Journal of Optical Communications
- 📄 Journal Article
Deep Learning Approach for Smart Home Security Using 5G Technology
- Authors: Amanullah, M., Chaudhary, S., Yalini, R., Vijaya Sudha, M., Dhanraj, J.A.
- Year: 2024
- Citation: Proceedings of ICABCS 2023, Artificial Intelligence, Blockchain, Computing, and Security, Vol 1, pp. 563–568
- 📝 Conference Paper
High-Speed and Area-Efficient RNS-Based FIR Filter Design Using Distributed Arithmetic Approach
- Authors: Balaji, M., Padmaja, N.
- Year: 2023
- Citation: AIP Conference Proceedings, 2901(1), 090007
- 📝 Conference Paper
Area and Delay Efficient RNS-Based FIR Filter Design Using Fast Adders and Multipliers
- Authors: Balaji, M., Padmaja, N.
- Year: 2023
- Citation: SSRG International Journal of Electrical and Electronics Engineering, 10(10), pp. 151–164, IJEEE-V10I10P115
- 📄 Journal Article (Open Access)
Design and Development of EEG Signal-Based Driver Activity Recognition and Monitoring System
- Authors: Ramachandran, R., Ramya, G., Titus, A., Balaji, M., Bharaneedharan, M.
- Year: 2023
- Citation: Proceedings of the 2023 International Conference on Innovative Computing, Intelligent Communication, and Smart Electrical Systems (ICSES 2023)
- 📝 Conference Paper
Deep Learning Approach for Smart Home Security Using 5G Technology

Authors: Amanullah, M., Chaudhary, S., Yalini, R., Sudha, M.V., Dhanraj, J.A.
Year: 2023
Citation: Artificial Intelligence, Blockchain, Computing, and Security: Volume 1, pp. 563–568
📖 Book Chapter

Yurong Sun | Engineering | Best Researcher Award

Posted on 26/09/202426/09/2024 by ScienceFather

Ms. Yurong Sun | Engineering | Best Researcher Award

Student at Southwest Jiaotong University, China

🧑‍🔬 Yurong Sun is a Ph.D. candidate at Southwest Jiaotong University with a background in antenna design and optimization. He earned his Master’s degree from Qufu Normal University, focusing on cutting-edge electromagnetic engineering topics such as magnetic dipole antennas. Sun has a strong track record of publishing impactful research, contributing extensively to antenna technologies that advance wireless communication and millimeter-wave applications. With numerous journal articles to his name, his work is highly regarded in the field. His dedication to improving antenna performance and efficiency is evident in his innovative approaches. Sun’s passion for research continues to drive him toward making breakthroughs in antenna array designs, ensuring high-gain, wideband capabilities, and low-profile configurations for real-world use cases. 📡

Professional Profile

ORCID Profile

Education 🎓📚

2020-2023: Master’s Degree in Engineering, Qufu Normal UniversitySun completed his Master’s degree in engineering, focusing on high-gain antennas and antenna array design. His rigorous academic training allowed him to develop expertise in electromagnetic theory and practical antenna solutions.
2023-Present: Pursuing Ph.D., Southwest Jiaotong UniversitySun is currently pursuing his Ph.D. at Southwest Jiaotong University, where he is diving deeper into the design and optimization of antennas, particularly in millimeter-wave applications. His research aims to enhance antenna efficiency and minimize radar cross-sections, contributing to advancements in telecommunications and defense. His commitment to academic excellence has been demonstrated through his published research, pushing the boundaries of antenna technology. 📚

Professional experience🏫💼

Yurong Sun has amassed a wealth of experience in the field of electromagnetic engineering. As a researcher, his primary focus has been on designing and optimizing high-gain antennas, with a particular emphasis on millimeter-wave and magneto-electric dipole arrays. He has collaborated with industry experts and academics, contributing to innovative solutions in wireless communication and radar systems. His published works have appeared in leading journals like Microwave and Optical Technology Letters and Electromagnetics. Sun’s participation in international conferences and collaborative projects, such as the International Applied Computational Electromagnetics Society (ACES-China), has allowed him to exchange ideas and stay at the forefront of antenna technology. Through his research, Sun has become a key contributor to the next generation of antenna designs, offering solutions to improve bandwidth, gain, and efficiency. 🚀

Research interest🌊🔬

Yurong Sun’s research focuses on antenna design and optimization, with a particular interest in magnetic dipole antennas, millimeter-wave applications, and high-gain, wideband solutions. His work explores ways to enhance the efficiency and performance of antennas used in telecommunications, radar, and satellite systems. He is particularly interested in reducing the radar cross-sections of antennas, making them more suitable for defense applications. Sun’s current research investigates innovative configurations like planar end-fire antennas and circularly polarized magneto-electric dipole arrays to address the challenges of modern communication systems. His studies not only advance theoretical knowledge but also have practical implications for the real-world deployment of antennas in high-frequency environments. His forward-thinking research continues to make significant strides toward improving wireless communication, antenna miniaturization, and enhanced bandwidth efficiency. 🌐📶

Award and Honor🏅

Although Yurong Sun is still early in his academic career, his contributions have already been recognized through multiple prestigious publications and participation in leading conferences. His papers in renowned journals such as Microwave and Optical Technology Letters and Electromagnetics have positioned him as an emerging talent in antenna design. His work has earned commendations for improving millimeter-wave antenna performance and offering real-world solutions for communication technology. Sun’s participation in the 2022 International Applied Computational Electromagnetics Society (ACES-China) conference highlights his growing presence in the academic community. As he continues to advance his research, he is likely to attract further recognition for his groundbreaking work in antenna technology and his contributions to the future of wireless communication. 🌟

Conclusion

Overall, Yurong Sun is highly qualified for the Best Researcher Award based on his focused contributions to antenna technology and wide-ranging published works. His dedication to high-gain, wideband antenna designs, and low-profile configurations for millimeter-wave applications is advancing the field. A broader impact on the global research community through interdisciplinary work and leadership in international collaborations would make him an even stronger candidate.

Publications top notes📄

📚 Sun, Y, Meng, W, Xu, J. High-gain and wideband differentially fed circularly polarized planar aperture antenna. Microw Opt Technol Lett. 2022; 64: 2059-2066.
🌐 Topic: Wideband circularly polarized antennas.
📚 Sun, Y, Meng, W, Xu, J. A dual-band high-gain magneto-electric dipole antenna array for millimeter-wave applications. Int J RF Microw Comput Aided Eng. 2022; 32(11): e23362.
📡 Topic: Millimeter-wave applications and high-gain dipole arrays.
📝 Yurong Sun, Juan Xu. Millimeter-Wave Ultrawideband and Gain Enhancement Planar End-fire Antenna. 2022 International Applied Computational Electromagnetics Society (ACES-China), Xuzhou, China, 2022.
📶 Topic: Ultrawideband and gain-enhanced planar antennas.
📚 Du, Y, Sun, Y, Guo, W, Xu, J. A broadband and low-profile magnetoelectric dipole antenna with low radar cross section. Microw Opt Technol Lett. 2022; 1-9.
🛡️ Topic: Antenna with low radar cross-section.
📚 Wang, K, Sun, Y, Meng, W, Xu, J. High-gain miniaturized magnetoelectric dipole antenna array for millimeter-wave applications. Microw Opt Technol Lett. 2023; 65: 1770-1777.
📡 Topic: Miniaturized antenna arrays for high-frequency use.
📚 Meng, W, Sun, Y, Li, Y, Xu, J. Wideband miniaturized circularly polarized magnetoelectric dipole antenna array for millimeter-wave applications. Microw Opt Technol Lett. 2024; 66: e34086.
🌍 Topic: Circularly polarized dipole antenna arrays.
📚 Xu, J., Zhang, L., Sun, Y. Rhombic arrangement of low-profile broadband circularly polarized magneto-electric dipole antenna array. Electromagnetics. 2024; 1–18.
🛠️ Topic: Innovative rhombic antenna array designs.

Bhagavat Jadhav | Engineering | Best Researcher Award

Posted on 25/09/202425/09/2024 by ScienceFather

Dr. Bhagavat Jadhav | Engineering | Best Researcher Award

Professor at JSPM’s Rajarshi Shahu College of Engineering, Pune, India

Dr. Bhagavat Dnyaneshwar Jadhav is a distinguished academic and researcher in Electronics and Telecommunication Engineering. With a passion for education and technology, he aims to contribute to societal betterment through innovative research. He holds a Ph.D. from Savitribai Phule Pune University, focusing on high-resolution multispectral satellite image analysis for agricultural management. Dr. Jadhav has over 21 years of teaching experience and has held various positions, including Professor and Controller of Examinations at JSPM’s Rajarshi Shahu College of Engineering. His dedication to enhancing educational standards and his leadership roles in academic committees highlight his commitment to the field. Through consultancy projects and research initiatives, he has made significant contributions to electronics and satellite image processing. 🌟🎓🌍

Professional Profile

Google Scholar

Education 🎓📚

Dr. Jadhav earned his Ph.D. in Electronics and Telecommunication Engineering from Savitribai Phule Pune University, where he conducted research on high-resolution multispectral satellite images for agricultural management. Prior to this, he completed his Master of Technology in Electronics with First Class Distinction from the University of Pune. His academic journey began with a Bachelor’s degree in Electronics from the University of Pune, followed by a Diploma in Industrial Electronics, where he graduated with distinction. His educational foundation is further strengthened by his performance in the GATE exam, scoring in the 88.37 percentile. Dr. Jadhav’s robust educational background not only reflects his commitment to academic excellence but also provides him with a strong theoretical framework for his extensive research and professional endeavors in the field of electronics and telecommunications. 📚🏆💻

Professional experience🏫💼

With over 21 years of experience, Dr. Jadhav has established himself as a prominent educator and researcher in Electronics and Telecommunication Engineering. His career began as a lecturer at D.Y. Patil College of Engineering, where he honed his teaching skills before progressing to various positions, including Assistant Professor, Associate Professor, and ultimately Professor and Head of the Department at Rajarshi Shahu College of Engineering. Currently, he serves as the Controller of Examinations and a Professor in the Electronics and Telecommunication department at JSPM’s Rajarshi Shahu College of Engineering. His leadership roles extend to being the Chairman of the Board of Studies in Electronics and Telecommunication Engineering at his alma mater, Savitribai Phule Pune University. Dr. Jadhav’s extensive experience in academia is complemented by his active involvement in guiding research students, consultancy projects, and fostering advancements in engineering education. 👩‍🏫🔧🌐

Research interest🌊🔬

Dr. Jadhav’s research interests are primarily centered around satellite image processing, remote sensing, and electronic devices. His Ph.D. research focused on analyzing high-resolution multispectral satellite images for land coverage mapping and agricultural management, reflecting his commitment to leveraging technology for sustainable development in agriculture. He is actively engaged in various projects that explore advanced techniques in satellite image enhancement and analysis. Additionally, Dr. Jadhav has shown a keen interest in developing automated systems for monitoring unauthorized settlements in urban areas, integrating remote sensing technologies with electronic innovations. His work in image processing techniques has applications across several domains, including medical imaging, agriculture, and environmental monitoring. Through his research, he aims to contribute to the advancement of technology that can improve agricultural practices and urban planning, addressing critical issues in modern society. 🌱🛰️🔍

Award and Honor🏅

Dr. Jadhav has received numerous accolades throughout his academic and professional journey, highlighting his contributions to the field of Electronics and Telecommunication Engineering. He served as the Chairman of the Board of Studies in Electronics and Telecommunication Engineering at Rajarshi Shahu College of Engineering, significantly influencing curriculum development from 2019 to 2022. His innovative research led to the publication of multiple patents in remote sensing and automated monitoring systems, showcasing his expertise and commitment to technological advancement. Additionally, his papers have been presented at various international conferences, earning recognition for his insights into satellite image processing and telecommunications. Dr. Jadhav’s dedication to excellence in education and research has not only brought accolades but also enhanced the reputation of the institutions he has been associated with, making him a respected figure in the academic community. 🏅📜🎖️

Conclusion

Dr. Jadhav presents a strong profile as a candidate for the Women Researcher Award due to her extensive academic background, innovative research in satellite imaging, and her leadership in academia. Her contributions to agricultural management and land-use mapping through advanced image processing techniques are noteworthy, as are her patents and industry collaborations. However, aligning her work more explicitly with gender-related research or women-focused initiatives could further enhance her standing for a gender-specific award.

Publications top notes📄

Monitoring and controlling rice diseases using Image processing techniques
Authors: AA Joshi, BD Jadhav
Year: 2016
Cited by: 171 🌾🔍
Detection and classification of brain tumors
Authors: NV Chavan, BD Jadhav, PM Patil
Year: 2015
Cited by: 63 🧠🔬
A blind digital watermark technique for color image based on integer wavelet transform and SIFT
Authors: CG Thorat, BD Jadhav
Year: 2010
Cited by: 37 💧🖼️
Analysis of various change detection techniques using satellite images
Authors: SR Kotkar, BD Jadhav
Year: 2015
Cited by: 23 🌍🔄
An effective method for satellite image enhancement
Authors: BD Jadhav, PM Patil
Year: 2015
Cited by: 14 🛰️✨
Hyperspectral remote sensing for agricultural management: a survey
Authors: BD Jadhav, PM Patil
Year: 2014
Cited by: 12 🌱🔭
Satellite image resolution enhancement using Dyadic-integer coefficients based bi-orthogonal wavelet filters
Authors: BD Jadhav, PM Patil
Year: 2015
Cited by: 11 🖥️📈
Satellite image (multispectral) enhancement techniques in wavelet domain: an overview
Authors: RB Dhekale, BD Jadhav, PM Patil
Year: 2015
Cited by: 10 🌌📊
TED: A LIGHTWEIGHT BLOCK CIPHER FOR IoT DEVICES WITH SIDE-CHANNEL ATTACK RESISTANCE
Authors: C Thorat, V Inamdar, B Jadhav
Year: 2020
Cited by: 6 🔒📡
Survey on role of image processing techniques in plant pathology
Authors: AA Joshi, BD Jadhav
Year: 2015
Cited by: 5 🌱🦠
Noninvasive Diabetes Mellitus detection based on texture and color features of facial block
Authors: SN Padawale, BD Jadhav
Year: 2016
Cited by: 4 🩺🖼️
Lucy Richardson and Mean Modified Wiener Filter for Construction of Super-Resolution Image
Authors: BD Jadhav, Pravin Balaso Chopade
Year: 2023
Cited by: 2 🖥️🔍
Performance analysis of face detection system using HOG and qualHOG features
Authors: SD Paithane, A.N. Patil, U.G. Jadhav, B.D. Shirbahadurkar
Year: 2019
Cited by: 1 📸🔍
Automated Iris Recognition System: An Overview
Authors: BS Satpute, BD Jadhav
Year: 2015
Cited by: 1 👁️🤖
Smart System for Garbage Management
Authors: PS Pisal, BD Jadhav
Year: 2021
Cited by: N/A 🗑️💡

Masoud Fathali | Engineering | Best Researcher Award

Posted on 24/09/202424/09/2024 by ScienceFather

Assist Prof Dr. Masoud Fathali | Engineering | Best Researcher Award

Head of Rail Transportation Department at Road, Housing and Urban Development Research Center, Iran

Masoud Fathali is an Assistant Professor and Head of the Rail Transportation Department at the Road, Housing, and Urban Development Research Center (BHRC), Iran. With expertise in railway engineering, he has contributed significantly to research and development in rail systems and infrastructure. His collaborations span from Iran to Sweden, focusing on high-speed railways, track systems, and innovative transportation solutions. Masoud is known for his practical and technical approach to railway engineering, playing a crucial role in advancing Iran’s rail transport sector. His extensive work in this field has earned him multiple awards and recognition on both national and international platforms. 💼🚆

Professional Profile

Education 🎓📚

Masoud Fathali holds a Postdoctoral degree in Railway Engineering from Iran University of Science and Technology (IUST) in collaboration with Luleå University of Technology (LUT), Sweden (2020) 🏫. He completed his Ph.D. in Civil & Environmental Engineering from Amirkabir University of Technology (AUT) in 2017, focusing on the effects of tire-derived aggregates on railway ballast materials 📚. Earlier, he earned a Master’s degree in Railway Track Engineering from IUST in 2008 and a Bachelor’s degree in Railway Track and Structures (2005) 🎓. His education has consistently centered on enhancing railway systems, with specialized research in life-cycle cost analysis, railway track innovations, and infrastructure improvement. His academic background forms a solid foundation for his continued excellence in railway research and development. 🎓📖

Professional experience🏫💼

Masoud Fathali’s career spans over two decades, with his current role as Head of the Rail Transportation Department at BHRC. He has led pivotal projects, including Tehran-Qom-Esfahan High-Speed Railway and collaborated with international organizations such as China Railway Group Limited (CREC) 🏗️🚆. He is involved in developing national railway standards and conducting technical research on railway infrastructure improvements in Iran. Masoud has contributed to the training and development of the next generation of railway engineers and professionals through extensive teaching and consulting activities, collaborating with both academic and industry partners worldwide. His vast professional experience demonstrates his dedication to transforming Iran’s railway system through innovative and sustainable solutions. 🌍🚄

Research interest🌊🔬

Masoud Fathali’s research is focused on railway engineering with an emphasis on high-speed rail systems, infrastructure innovations, and life-cycle cost analysis 💡🚄. His work spans across sustainable development of railway tracks in desert environments, tire-derived aggregate solutions for ballast materials, and improving railway superstructure design 🚧. Masoud has a keen interest in enhancing rail transportation systems by integrating modern technology and sustainable engineering solutions, with projects tackling challenges like track vibrations, sand accumulation in desert railways, and track stability. His research continues to advance the field of railway engineering, both theoretically and in practical implementation. 🌍🛤️

Award and Honor🏅

Masoud Fathali has received numerous prestigious awards, including the Best Researcher Award (2024) at both the CAD and ACA International Academic Awards 🎖️. His contributions to railway engineering have been recognized by the Iran Ministry of Roads & Urban Development and the Iran Plan & Budget Organization. Masoud has also been honored with multiple letters of appreciation for his valuable input on railway infrastructure projects, such as the Tehran-Qom-Esfahan High-Speed Railway 🏅. He has consistently ranked among top researchers in national and international conferences on railway engineering, earning accolades like the John Jarrett Davis Prize and numerous first-rank article awards 🏆. His dedication to the rail industry continues to impact both research and practical applications in Iran and abroad. 📜🎓

Conclusion

Dr. Masoud Fathali is highly qualified and has a substantial record of academic, technical, and leadership contributions in railway engineering. His awards, patents, and leadership roles underscore his excellence in research. While he could improve in global collaboration and public engagement, he is a strong candidate for the Best Researcher Award due to his significant technical innovations, academic publications, and ongoing contributions to national and international rail transportation projects.

Publications top notes📄

Influence of tire-derived aggregates on the properties of railway ballast material
Authors: M Fathali, FM Nejad, M Esmaeili
Year: 2017
Citations: 96
Deterioration analysis of flexible pavements under overweight vehicles
Authors: JM Sadeghi, M Fathali
Year: 2007
Citations: 67
Development of a new track geometry assessment technique incorporating rail cant factor
Authors: J Sadeghi, M Fathali, N Boloukian
Year: 2009
Citations: 51
Evaluation of humped slab track performance in desert railways
Authors: JA Zakeri, M Esmaeili, M Fathali
Year: 2011
Citations: 32
A new two-phase method for damage detection in skeletal structures
Authors: A Kaveh, SR Hosseini Vaez, P Hosseini, MA Fathali
Year: 2019
Citations: 28
Influence of tire-derived aggregates mixed with ballast on ground-borne vibrations
Authors: M Fathali, M Esmaeili, F Moghadas Nejad
Year: 2019
Citations: 22
Effects of rail cant on wheel-rail contact forces in slab tracks
Authors: JA Zakeri, M Fathali, NB Roudsari
Year: 2011
Citations: 22
A new degradation model for life cycle assessment of railway ballast materials
Authors: M Fathali, J Chalabii, F Astaraki, M Esmaeili
Year: 2021
Citations: 17
Reliability assessment of transmission line towers using metaheuristic algorithms
Authors: P Hosseini, SR Hoseini Vaez, MA Fathali, H Mehanpour
Year: 2020
Citations: 11
Deterioration analysis of concrete bridges under inadmissible loads from the fatigue point of view
Authors: JM Sadeghi, M Fathali
Year: 2007
Citations: 10
Size and shape reliability-based optimization of dome trusses
Authors: SR Hoseini Vaez, P Hosseini, MA Fathali, A Asaad Samani, A Kaveh
Year: 2020
Citations: 9
Grillage analogy applications in analysis of bridge decks
Authors: J Sadeghi, M Fathali
Year: 2012
Citations: 9
Investigating the effect of dilation on VNL and CNL types shear strength
Authors: M Gharouni Nik, M Fathali
Year: 2013
Citations: 4
Introducing New Humped Slab Track Superstructure for Obviating the Problems of
Authors: JA Zakeri, M Esmaieli, M Fathali
Year: 2010
Citations: 3
Aeolian Sand Challenges in Desert Rail Infrastructures, Overview of Iran’s Experience and Advancement
Authors: M Fathali, MM Kabiri Nasrabad, HR Abbasi, A Amrollahi, M Soleymani
Year: 2024
Citations: 2

Jamshud Piri | Engineering | Best Researcher Award

Posted on 20/09/202420/09/2024 by ScienceFather

Prof Dr. Jamshud Piri | Engineering | Best Researcher Award

Water engineering at University of Zabol, Iran

Dr. Jamshid Piri is an expert in water resource management and environmental hydrology. He is currently an instructor at Zabol University, where he teaches and conducts research on water engineering, hydrological forecasting, and the application of advanced computational methods like artificial neural networks (ANN) in environmental management. Dr. Piri’s work addresses crucial challenges in water sustainability and management, particularly in arid regions. His commitment to developing innovative solutions for predicting and managing water systems has earned him recognition in national conferences and academia. With over two decades of experience in the field, Dr. Piri has demonstrated a deep passion for teaching, research, and public service, contributing to critical projects in Iran’s water sector.

Professional Profile

Google Scholar

Education 🎓📚

Dr. Piri completed his Ph.D. in Water Resource Management (2018-2021) at Sistan and Baluchestan University, specializing in innovative modeling and simulation techniques to solve water-related challenges. His M.Sc. in Water Engineering (2005-2007) from Shiraz University focused on hydrological modeling, where his thesis involved simulating evaporation from Zabol’s Chah-Nemehs using artificial neural networks. He holds a B.Sc. in Water Engineering from Sistan and Balochestan University (1998-2002), where he gained foundational knowledge in hydrology, hydraulic systems, and environmental water resources. His extensive education has enabled him to tackle complex issues in water management, preparing him for his roles in academia and applied research.

Professional experience🏫💼

Dr. Piri has over two decades of professional experience in the water sector. He began his career at the Ministry of Power, working on water and soil management projects from 2002 to 2004. He then joined the Ministry of Agriculture, where he led key initiatives related to water and soil exports from 2007 to 2013. Since 2013, Dr. Piri has served as an instructor at Zabol University, where he teaches undergraduate and postgraduate courses such as Fluid Mechanics, Hydrology, and Water Quality. His research integrates advanced techniques like artificial neural networks and fuzzy logic to address water resource challenges. His diverse roles across government and academic institutions underscore his commitment to improving water management in Iran and beyond.

Research interest🌊🔬

Dr. Piri’s research focuses on the innovative modeling and forecasting of hydrological variables, including precipitation, evaporation, and groundwater levels. He is particularly interested in developing computational tools like artificial neural networks (ANN) and fuzzy logic to improve predictions related to water resource management in arid regions. His expertise in hydroinformatics has led to groundbreaking work in suspended sediment modeling, trend analysis of hydrological data, and environmental management. By combining advanced algorithms with real-world water issues, Dr. Piri aims to improve the sustainability of water systems. His research is critical for addressing the challenges of water scarcity and environmental degradation in regions such as Zabol, making his contributions both timely and impactful.

Award and Honor🏅🎖️

Dr. Piri has received multiple accolades for his contributions to water resource management and hydrological research. He has been recognized at various national conferences for his innovative work in groundwater modeling and hydrological forecasting. His research using artificial neural networks and genetic algorithms for soil temperature simulation has been particularly well-received in Iran’s academic community. His teaching excellence has also earned him recognition at Zabol University, where he is valued for his ability to integrate complex computational methods into practical water management solutions. Dr. Piri’s continued dedication to both academic research and practical water resource solutions makes him a highly respected figure in the Iranian hydrological research landscape.

Conclusion

Dr. Jamshid Piri is a well-qualified candidate for the Best Researcher Award, with a solid educational background, strong research in hydroinformatics, and active involvement in both teaching and national conferences. His work on hydrological modeling and water resource management is critical in regions facing environmental challenges. To further strengthen his profile, Dr. Piri should aim to publish in more high-impact international journals and engage in interdisciplinary, global research collaborations. Overall, his commitment to innovative solutions in water management makes him a deserving candidate for recognition.

Publications top notes📄

Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques
📚 A Moghaddamnia, MG Gousheh, J Piri, S Amin, D Han
📅 2009
📊 Citations: 395
📄 Advances in Water Resources 32 (1), 88-97
Application of ANN and ANFIS models for reconstructing missing flow data
📚 MT Dastorani, A Moghadamnia, J Piri, M Rico-Ramirez
📅 2010
📊 Citations: 196
📄 Environmental Monitoring and Assessment 166, 421-434
Comparison of LLR, MLP, Elman, NNARX and ANFIS Models—with a case study in solar radiation estimation
📚 A Moghaddamnia, R Remesan, MH Kashani, M Mohammadi, D Han, J Piri
📅 2009
📊 Citations: 173
📄 Journal of Atmospheric and Solar-Terrestrial Physics 71 (8-9), 975-982
Daily pan evaporation modeling in a hot and dry climate
📚 J Piri, S Amin, A Moghaddamnia, A Keshavarz, D Han, R Remesan
📅 2009
📊 Citations: 144
📄 Journal of Hydrologic Engineering 14 (8), 803-811
Prediction of the solar radiation on the earth using support vector regression technique
📚 J Piri, S Shamshirband, D Petković, CW Tong, MH ur Rehman
📅 2015
📊 Citations: 93
📄 Infrared Physics & Technology 68, 179-185
Modeling solar radiation reached to the Earth using ANFIS, NN-ARX, and empirical models
📚 J Piri, O Kisi
📅 2015
📊 Citations: 92
📄 Journal of Atmospheric and Solar-Terrestrial Physics 123, 39-47
Daily suspended sediment concentration simulation using hydrological data of Pranhita River Basin, India
📚 A Malik, A Kumar, J Piri
📅 2017
📊 Citations: 75
📄 Computers and Electronics in Agriculture 138, 20-28
A nonlinear mathematical modeling of daily pan evaporation based on conjugate gradient method
📚 B Keshtegar, J Piri, O Kisi
📅 2016
📊 Citations: 71
📄 Computers and Electronics in Agriculture 127, 120-130
Estimation of reference evapotranspiration using neural networks and cuckoo search algorithm
📚 S Shamshirband, M Amirmojahedi, M Gocić, S Akib, D Petković, J Piri, …
📅 2016
📊 Citations: 58
📄 Journal of Irrigation and Drainage Engineering 142 (2), 04015044
Comparison of SVM, ANFIS and GEP in modeling monthly potential evapotranspiration in an arid region
📚 O Mohammadrezapour, J Piri, O Kisi
📅 2019
📊 Citations: 54
📄 Water Supply 19 (2), 392-403
Dust storm prediction using ANNs technique (A case study: Zabol City)
📚 MR Jamalizadeh, A Moghaddamnia, J Piri
📅 2008
📊 Citations: 47
📄 Proceedings of World Academy of Science: Engineering and Technology 45
Spatial monitoring and zoning water quality of Sistan River in the wet and dry years using GIS and geostatistics
📚 A Mir, J Piri, O Kisi
📅 2017
📊 Citations: 44
📄 Computers and Electronics in Agriculture 135, 38-50
Assessment of artificial intelligence–based models and metaheuristic algorithms in modeling evaporation
📚 M Zounemat-Kermani, O Kisi, J Piri, A Mahdavi-Meymand
📅 2019
📊 Citations: 42
📄 Journal of Hydrologic Engineering 24 (10), 04019033
Evaporation estimation using support vector machines technique
📚 A Moghaddamnia, M Ghafari, J Piri, D Han
📅 2009
📊 Citations: 37
📄 International Journal of Engineering and Applied Sciences 5 (7), 415-423