Marjan Kamyabi | sustainability | Best Researcher Award

Assist. Prof. Dr. Marjan Kamyabi | sustainability | Best Researcher Award

Tourism, Cyprus International University, Turkeyย 

Dr. Marjan Kamyabi is a passionate tourism scholar and lecturer currently serving at Cyprus International University. With a solid background in tourism marketing and accessibility, she brings over a decade of academic and industry experience across Iran, North Cyprus, and the Eastern Mediterranean. Dr. Kamyabi has contributed to inclusive tourism studies and has actively guided postgraduate students on diverse research topics. Her work reflects a deep commitment to accessible tourism, sustainable travel, and market development, making her a dynamic contributor to global tourism research and education. ๐ŸŒ๐Ÿ“šโœˆ๏ธ

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๐ŸŽ“ Education

Dr. Kamyabi earned her Bachelorโ€™s degree in Tourism Management from Shahid Bahonar University of Kerman (2007โ€“2012) ๐ŸŽ“. She then pursued a Masterโ€™s degree in Tourism Marketing at Qeshm Higher Education Institute (2012โ€“2014), graduating with distinction. Her academic journey culminated with a Ph.D. in Tourism from Eastern Mediterranean University (2017โ€“2022), where she investigated challenges in accessible tourism for people with disabilities in North Cyprus. Her multilingual abilitiesโ€”Persian ๐Ÿ‡ฎ๐Ÿ‡ท (native), English ๐Ÿ‡ฌ๐Ÿ‡ง, and Turkish ๐Ÿ‡น๐Ÿ‡ทโ€”enhance her global research engagement.

๐Ÿ’ผ Experience

Dr. Kamyabi has held a diverse range of academic and professional roles. She is currently a Lecturer at Cyprus International University (2022โ€“present), previously served as a Research Assistant at Eastern Mediterranean University (2017โ€“2022), and was a Lecturer at Azad University and Payamenoor University in Kerman (2014โ€“2016). In earlier years, she contributed to the hospitality and tourism industry as a Tour Guide, Flight Counter Agent, and Hotel Manager, enriching her practical understanding of the field. ๐Ÿจ๐Ÿ—บ๏ธ๐Ÿ‘ฉโ€๐Ÿซ

๐Ÿ”ฌ Research Interest

Dr. Kamyabiโ€™s research interests span Accessible Tourism, Tourism Marketing, Sustainable Destination Development, and Consumer Behavior. She specializes in exploring how tourism experiences can be more inclusive, particularly for people with disabilities. Her Ph.D. thesis focused on North Cyprus as a case study for identifying infrastructural gaps and opportunities in accessible tourism, using robust analytical methods like ANOVA and regression models. ๐Ÿ“Š๐ŸŒฑ๐Ÿงณ

๐Ÿ† Awards

While formal awards are not listed, Dr. Kamyabi’s recognition stems from her scholarly impact, conference contributions, and research supervision. Her leadership in postgraduate theses and active participation in international conferences highlight her academic excellence and dedication to the advancement of tourism science. ๐Ÿฅ‡๐ŸŽ“๐ŸŒŸ

๐Ÿ“„ Publications

An Investigation of the Challenges Faced by the Disabled Population and the Implications for Accessible Tourism: Evidence from a Mediterranean Destination โ€“ Sustainability, Vol. 14, Issue 8 (2022), Cited by 7 articles.
๐Ÿ”น Impacts of Gambling on Students’ Life: Case of Eastern Mediterranean University โ€“ A Grounded Theory Research โ€“ Journal of Travel and Tourism Research, Vol. 13 (2018).
๐Ÿ”น Ecotourism, Geopark in Persian Gulf: Challenges and Development Strategies (Qeshm Island) โ€“ Journal of Advance in Environmental Biology (July 2014).
๐Ÿ”น A Review on Eco-tourism Potentials: A Case Study of Kerman-Iran โ€“ Journal of Advance in Environmental Biology (Nov 2014)

Conclusion

Marjan Kamyabi’s academic achievements, particularly in accessible tourism and ecotourism, make her a deserving candidate for the Best Researcher Award. Her dedication to addressing practical issues in tourism, along with her strong publication record, showcases her potential to drive change in the field. With continued growth in research diversity and increased global academic engagement, she is on a promising path to further success in academia.

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

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, hereโ€™s an evaluation of her suitability for the Best Researcher Award, structured in a titled paragraph format:

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Education ๐ŸŽ“

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 Masterโ€™s in Engineering Management and a Bachelorโ€™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. ๐Ÿ“š

Professional Accomplishments and Certifications ๐Ÿ…

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. ๐ŸŒ

Professional Experience ๐Ÿ—๏ธ

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. ๐Ÿš€

Publications and Research ๐Ÿ“‘

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. ๐Ÿ”ฌ

Student Projects Advising ๐Ÿง‘โ€๐ŸŽ“

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. ๐ŸŽ“

Publication Top notes ๐Ÿ“šโœจ

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 educationโ€”introductory statistics courses as an example

Bamboo utilization as a sustainable building material: bamboo in buildings

Conclusion ๐Ÿ†

Dr. Wesam H. Beitelmalโ€™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. ๐ŸŒ

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

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

Dr. Nasim Hossein Hamzeh, ASMERC, Iran

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

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Academic and Research Excellence ๐ŸŒŸ

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 ๐Ÿงช

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 ๐Ÿ†

With an h-index of 10 and numerous publications in high-impact journals, Hamzehโ€™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 ๐ŸŒ

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 ๐Ÿ“š

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, 2002โ€“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 2000โ€“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 ๐ŸŒŸ

Nasim Hossein Hamzehโ€™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 awardโ€™s criteria.

 

Dr. Sadhan Gope | Engineering | Best Researcher Award

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. ๐ŸŒŸ๐Ÿ‘จโ€๐Ÿซ๐Ÿ”ง๐Ÿ“š๐Ÿ†

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Education ๐ŸŽ“

Dr. Sadhan Gope completed his PhD in Electrical Engineering from the National Institute of Technology Silchar in 2018. ๐ŸŽ“ His research focused on cutting-edge electrical engineering innovations, contributing significantly to the field. ๐Ÿ“š๐Ÿ”Œ Dr. Gope’s dedication and hard work during his doctoral studies earned him recognition and respect in the academic community. ๐Ÿ…โœจ His journey through the rigorous PhD program not only enhanced his expertise but also prepared him for future advancements in electrical engineering. ๐Ÿ’ก๐Ÿ”ง Dr. Gope continues to inspire and mentor aspiring engineers, leaving a lasting impact on the field. ๐ŸŒŸ๐Ÿ“–

Professional Experience ๐Ÿ’ผ

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. ๐Ÿ“šโšก๐Ÿ”Œ His extensive teaching experience and dedication to electrical engineering education make him a valuable asset to the academic community. ๐ŸŒŸ๐Ÿ‘จโ€๐Ÿซ

Research Interest ๐Ÿ”

๐Ÿ”‹ 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 ๐ŸŒ. Dr. Gope’s innovative work contributes significantly to the development of the Smart Grid and integration of Electric Vehicles ๐Ÿš—๐Ÿ”Œ. His expertise in optimizing power systems ensures efficient, reliable, and sustainable energy solutions ๐ŸŒฑ. With a focus on cutting-edge technologies and smart grid advancements, Dr. Gope’s contributions are shaping the future of energy management and distribution โšก๐Ÿ”ง.

Awards ๐Ÿ†

๐ŸŽ“ Dr. Sadhan Gope has achieved significant recognition in his field, earning several prestigious awards for his contributions. ๐Ÿ† He received the Best Paper Award at the First International Conference on the Advancement of Computer Communication and Electrical Technology in 2016. ๐ŸŒŸ 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. ๐ŸŒ 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. โšก๐Ÿ“š

Publication Top Notes ๐Ÿ“š

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 Thermalโ€“Windโ€“EV System in a Deregulated System

Cooperative optimal operation of hybrid energy integrated system considering multiโ€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

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. ๐ŸŽ“๐Ÿ’ป๐ŸŒŸ

PROFILE

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EDUCATION

๐Ÿง ๐Ÿ–ฅ๏ธ 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

๐Ÿ‘จโ€๐Ÿซ 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. ๐Ÿฅ๐Ÿ’ป๐Ÿ“š”

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.๐Ÿ†

Research Projectsย 

๐Ÿง 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 Notesย 

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