Assoc Prof. Dr. Wesam Beitelmal | Environmental Science | Best Researcher Award

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Assoc Prof. Dr. Wesam Beitelmal | Environmental Science | Best Researcher Award

Assoc Prof. Dr. Wesam Beitelmal, Assistant dean of Deanship DRSA, Dhofar University, Oman

Based on Dr. Wesam Beitelmal credentials and accomplishments, here’s an evaluation of her suitability for the Best Researcher Award, structured in a titled paragraph format:

Profile 📝👤

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Education 🎓

Dr. Beitelmal holds a Ph.D. in Civil Engineering from the University of Colorado Boulder, focusing on infrastructure asset management in developing countries. His academic background is further strengthened by a Master’s in Engineering Management and a Bachelor’s in Civil Engineering. His education highlights a robust foundation in both theoretical and applied aspects of civil engineering, enhancing his research capabilities and teaching excellence. 📚

Professional Accomplishments and Certifications 🏅

Dr. Beitelmal has earned numerous prestigious certifications and honors, including Project Management Professional (PMP) and Fellowship from the International Institute of Risk & Safety Management (FIIRSM). His accolades, such as the Best Teacher of the Year Award and recognition for best presentations, reflect his exceptional contributions to academia and industry. His certifications demonstrate a commitment to professional excellence and ongoing development. 🌐

Professional Experience 🏗️

With substantial experience in both academic and industrial sectors, Dr. Beitelmal has held significant roles such as Assistant Dean at Dhofar University and General Manager at Alitkan for Construction. His experience in managing large-scale projects and delivering impactful research and teaching adds a practical dimension to his scholarly work, making his contributions highly relevant and impactful. 🚀

Publications and Research 📑

Dr. Beitelmal has an impressive portfolio of peer-reviewed journal articles, conference proceedings, and book chapters. His research covers a wide range of topics, including asset management, renewable energy, and disaster risk reduction. His recent works on green hydrogen production and infrastructure asset management showcase his ability to address contemporary challenges in civil engineering through innovative research. His ongoing projects further illustrate his commitment to advancing knowledge in his field. 🔬

Student Projects Advising 🧑‍🎓

Dr. Beitelmal’s involvement in advising both undergraduate and graduate students highlights his dedication to nurturing the next generation of engineers. His supervision of projects related to construction management and asset management underscores his role in bridging academic knowledge with practical applications, contributing to the overall development of his students and the field. 🎓

Publication Top notes 📚✨

A focused review of the hydrogen storage tank embrittlement mechanism process

Analytical model for a techno-economic assessment of green hydrogen production in photovoltaic power station case study Salalah city-Oman

Mitigating Infrastructure Disaster Losses Through Asset Management Practices in the Middle East and North Africa Region

Challenges and barriers to establishing infrastructure asset management: A comparative study between Libya and the USA

Accessibility and sustainability of hybrid energy systems for a cement factory in Oman

Renewable energy as a source of electricity for Murzuq health clinic during COVID-19

The compactness of non-compacted urban developments: A critical review on sustainable approaches to automobility and urban sprawl

Strategies to enhance implementation of infrastructure asset management in developing countries

Threshold concepts theory in higher education—introductory statistics courses as an example

Bamboo utilization as a sustainable building material: bamboo in buildings

Conclusion 🏆

Dr. Wesam H. Beitelmal’s extensive experience, notable achievements, and significant contributions to civil engineering make him an outstanding candidate for the Best Researcher Award. His blend of academic prowess, industrial expertise, and dedication to advancing the field through research and education distinguishes him as a leader in his discipline. His work not only enhances the field of civil engineering but also has a meaningful impact on infrastructure and sustainability globally. 🌍

Dr. Nasim Hossein Hamzeh | Sustainable Materials | Women Researcher Award

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Dr. Nasim Hossein Hamzeh | Sustainable Materials | Women Researcher Award

Dr. Nasim Hossein Hamzeh, ASMERC, Iran

Based on Nasim Hossein Hamzeh’s credentials and accomplishments, here’s an evaluation of her suitability for the Women Researcher Award, structured in a titled paragraph format:

Profile 👩‍🔬 

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Orcid

Academic and Research Excellence 🌟

Nasim Hossein Hamzeh has a distinguished academic background with a Ph.D. in Meteorology from the Atmospheric Science and Meteorology Research Center (ASMERC) in Iran. Her research career spans over two decades, with significant contributions to atmospheric science and meteorology. She has been involved in several high-impact projects, such as the GENOMEHARVEST and dust monitoring systems, showcasing her commitment to advancing scientific knowledge and addressing critical environmental issues. Her impressive publication record includes 40 papers with substantial citations, reflecting her influence and expertise in the field.

Funded Projects and Contributions 🧪

Hamzeh’s role as a co-applicant in various national and provincial projects, including dust monitoring and source identification, highlights her active participation in addressing environmental challenges. Her work in identifying sources of atmospheric mineral dust and developing comprehensive monitoring systems demonstrates her leadership in impactful research projects. These contributions are crucial for understanding and mitigating the effects of dust storms on the environment and public health.

Publication and Recognition 🏆

With an h-index of 10 and numerous publications in high-impact journals, Hamzeh’s research has garnered significant recognition. Her papers, particularly those addressing dust storms and their dynamics, have been cited extensively, reflecting the relevance and quality of her work. Notably, her paper on long-term variability of dust events was recognized as the Best Paper of the Atmosphere journal in 2021, and one of her images was featured in NASA’s Giovanni Image Hall of Fame.

Community Engagement and Media Presence 🌍

Hamzeh’s involvement in the YESS Community and IGAC EC-SSC, along with her media appearance in The Guardian, underscores her active role in disseminating scientific knowledge and engaging with the broader community. Her contributions to national and international conferences further demonstrate her dedication to sharing research and fostering collaboration.

Publication Top notes 📚

Atmospheric dynamics and numerical simulations of six frontal dust storms in the Middle East region

Numerical simulations of dust storms originated from dried lakes in central and southwest Asia: The case of Aral Sea and Sistan Basin

Long-term variability of dust events in southwestern Iran and its relationship with the drought

Spatial and temporal variability in dust storms in the Middle East, 2002–2018: three case studies in July 2009

Numerical simulation of extreme dust storms in east of Iran by the WRF-Chem model

Spatio-temporal and synoptic changes in dust at the three islands in the Persian Gulf region

Analyses of a lake dust source in the Middle East through models performance

Long-term investigation of aerosols in the Urmia Lake region in the Middle East by ground-based and satellite data in 2000–2021

Investigation of a severe frontal dust storm over the Persian Gulf in February 2020 by CAMS model

The study of a rare frontal dust storm with snow and rain fall: Model results and ground measurements

Conclusion 🌟

Nasim Hossein Hamzeh’s extensive research experience, significant contributions to environmental science, and active engagement in the scientific community make her an exceptional candidate for the Women Researcher Award. Her achievements reflect a strong commitment to advancing knowledge and addressing pressing environmental issues, aligning well with the award’s criteria.

 

Dr. Sadhan Gope | Engineering | Best Researcher Award

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Dr. Sadhan Gope | Engineering | Best Researcher Award

Dr. Sadhan Gope, Assistant Professor, National Institute of Technology Agartala, India

Dr. Sadhan Gope is an Assistant Professor at the National Institute of Technology Agartala, India. He has been honored with the prestigious Best Researcher Award for his outstanding contributions to engineering. His innovative research and dedication to advancing technology have set new benchmarks in the field. Dr. Gope’s work is recognized globally, making him a leading figure in engineering academia. His passion for research and teaching inspires students and colleagues alike, driving progress and innovation. 🌟👨‍🏫🔧📚🏆

Profile ✨

Orcid 💼

Education 🎓

Dr. Sadhan Gope completed his PhD in Electrical Engineering from the National Institute of Technology Silchar in 2018. 🎓 His research focused on cutting-edge electrical engineering innovations, contributing significantly to the field. 📚🔌 Dr. Gope’s dedication and hard work during his doctoral studies earned him recognition and respect in the academic community. 🏅✨ His journey through the rigorous PhD program not only enhanced his expertise but also prepared him for future advancements in electrical engineering. 💡🔧 Dr. Gope continues to inspire and mentor aspiring engineers, leaving a lasting impact on the field. 🌟📖

Professional Experience 💼

Dr. Sadhan Gope is an Assistant Professor in the Department of Electrical Engineering at the National Institute of Technology Agartala since September 8, 2022. Previously, he served as an Assistant Professor at Mizoram University from July 18, 2012, to September 7, 2022. Additionally, he held a similar position at the National Institute of Technology Mizoram from July 2011 to July 2012. 📚⚡🔌 His extensive teaching experience and dedication to electrical engineering education make him a valuable asset to the academic community. 🌟👨‍🏫

Research Interest 🔍

🔋 Dr. Sadhan Gope is an expert in Power System Optimization using Soft Computing Techniques. His research spans Congestion Management, Power System Deregulation, and Distributed Generation 🌍. Dr. Gope’s innovative work contributes significantly to the development of the Smart Grid and integration of Electric Vehicles 🚗🔌. His expertise in optimizing power systems ensures efficient, reliable, and sustainable energy solutions 🌱. With a focus on cutting-edge technologies and smart grid advancements, Dr. Gope’s contributions are shaping the future of energy management and distribution ⚡🔧.

Awards 🏆

🎓 Dr. Sadhan Gope has achieved significant recognition in his field, earning several prestigious awards for his contributions. 🏆 He received the Best Paper Award at the First International Conference on the Advancement of Computer Communication and Electrical Technology in 2016. 🌟 In 2020, he was honored again with the Best Paper Award at the World Conference on Intelligent Systems, organized by the Soft Computing Research Society. 🌐 Most recently, Dr. Gope was awarded the Best Paper Award at the First International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS-2022), organized by the Central University of Haryana. ⚡📚

Publication Top Notes 📚

An Approach for Attaining Economic Profit by Optimal Operation of Hybrid Thermal-Wind-PHS-EV System in a Deregulated System

An Effective Strategy for Achieving Economic Reliability by Optimal Coordination of Hybrid Thermal–Wind–EV System in a Deregulated System

Cooperative optimal operation of hybrid energy integrated system considering multi‐objective dragonfly algorithm

Economic Benefit Analysis by Integration of Different Comparative Methods for FACTS Devices

Simultaneous Placement of Multiple Rooftop Solar PV Integrated Electric Vehicle Charging Stations for Reliability Benefits

Optimal Bidding Strategy for Social Welfare Maximization in Wind Farm Integrated Deregulated Power System Using Artificial Gorilla Troops Optimizer Algorithm

A Strategy for System Risk Mitigation Using FACTS Devices in a Wind Incorporated Competitive Power System

A Joint Scheduling Strategy for Wind and Solar Photovoltaic Systems to Grasp Imbalance Cost in Competitive Market

A Risk Curtailment Strategy for Solar PV-Battery Integrated Competitive Power System

Renewable energy integrated multi-microgrid load frequency control using grey wolf optimization algorithm

Assist Prof. Dr. Seung-Bo Lee | Computer Science | Best Researcher Award

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Assist Prof. Dr. Seung-Bo Lee | Computer Science | Best Researcher Award

Assist Prof. Dr. Seung-Bo, Lee, Keimyung University School of Medicine, South Korea

Assistant Professor Dr. Seung-Bo Lee from Keimyung University School of Medicine in South Korea excels in Computer Science, specializing in innovative research areas. His dedication to advancing knowledge is evident through his impactful contributions to the field. Dr. Lee’s research focuses on cutting-edge technologies, enhancing understanding in computational methodologies and artificial intelligence. As a recipient of the Best Researcher Award, he continues to inspire with his insightful publications and academic leadership. His commitment to excellence is underscored by his role in shaping future generations of computer scientists. 🎓💻🌟

PROFILE

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EDUCATION

🧠🖥️ Prof. Dr. Seung-Bo Lee pursued his academic journey at Korea University in Seoul, Korea, specializing in Brain and Cognitive Engineering. He completed his Ph.D. from 2015 to 2020, following a Bachelor’s degree in Computer and Communication Engineering from 2009 to 2015. His research focuses on integrating cognitive science with engineering principles, exploring innovative ways to enhance brain-computer interfaces. Throughout his academic career, he has contributed significantly to the field, blending expertise in neuroscience and engineering to advance cognitive technologies. Prof. Dr. Lee’s dedication to interdisciplinary research underscores his commitment to advancing our understanding of brain function and its applications in technology.

EMPLOYMENT

👨‍🏫 Assist. Prof. Dr. Seung-Bo Lee brings a rich background to his role as Assistant Professor in the Department of Medical Informatics at Keimyung University School of Medicine. Prior to this, he served as a Research Professor at Seoul National University Hospital’s Office of Hospital Information, enhancing healthcare data management. His experience includes a tenure as a Senior Research Engineer at LG CNS, contributing to innovative tech solutions. Dr. Lee’s career spans from senior research roles to academia, where he continues to integrate medical informatics with practical industry insights, driving advancements in healthcare technology and data management.

SOCIETY ACTIVITIES

“Assist. Prof. Dr. Seung-Bo Lee has been an Academician at The Korean Society of Medical Informatics since February 2023. His expertise spans medical informatics, contributing significantly to research and education in the field. Dr. Lee’s work focuses on integrating technology with healthcare, enhancing patient care through innovative informatics solutions. As an Academician, he plays a crucial role in shaping the society’s direction and fostering collaboration among medical informatics professionals. His dedication to advancing healthcare through technology is marked by his active participation in conferences and publications. 🏥💻📚”

Awards and Honors

Dr. Seung-Bo Lee holds a Ph.D. in Brain and Cognitive Engineering from Korea University. As an accomplished researcher and academician, he has contributed significantly to the field of medical informatics. His work on predictive models using machine learning techniques has been published in renowned journals such as Scientific Reports and BMC Geriatrics. Dr. Lee’s dedication to advancing healthcare through technology is evident in his multiple publications focused on EEG signal analysis, predictive modeling for healthcare outcomes, and AI applications in medical diagnostics. He is recognized for his expertise in neural networks and machine learning methodologies applied to medical data.🏆

Research Projects 

🧠Dr. Seung-Bo Lee earned his Ph.D. in Brain and Cognitive Engineering (2015-2020) and B.S. in Computer and Communication Engineering (2009-2015) from Korea University. Currently an Assistant Professor at Keimyung University School of Medicine, he previously served as a Research Professor at Seoul National University Hospital and Senior Research Engineer at LG CNS. Actively engaged in the Korean Society of Medical Informatics since 2023, his research spans predictive healthcare models using EEG and spirometry data, as published in high-impact journals. Lee’s contributions include machine learning applications in medical contexts, enhancing diagnostics and patient care.

Publication Top Notes 

Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification

Predicting Parkinson’s disease using gradient boosting decision tree models with electroencephalography signals

Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury

Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms

Hemodynamic instability and cardiovascular events after traumatic brain injury predict outcome after artifact removal with deep belief network analysis

Detection of depression and suicide risk based on text from clinical interviews using machine learning: possibility of a new objective diagnostic marker

Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification

Classification of computed tomography scanner manufacturer using support vector machine

A machine learning approach for predicting suicidal ideation in post stroke patients

Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability