Supattana Sukrat | Digital Transformation | Best Researcher Award

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Assist. Prof. Dr. Supattana Sukrat | Digital Transformation | Best Researcher Award

Assist. Prof. Dr. Supattana Sukrat | Prince of Songkla University | Thailand 

Assist. Prof. Dr. Supattana Sukratis a distinguished academic at the Faculty of Commerce and Management, Prince of Songkla University, Trang Campus. With a Ph.D. in Information Technology from King Mongkut’s University of Technology Thonburi, her expertise spans Digital Business, Digital Transformation, Social Commerce, and Management Information Technology. She has actively contributed to various research projects, including studies on digital transformation maturity models, sustainability performance, and agri-digital innovation in Thailand and Southeast Asia. Assist. Prof. Dr. Supattana Sukrat has authored influential works such as A Digital Business Transformation Maturity Model for Micro Enterprises in Developing Countries and numerous papers in the Journal of Education and Innovative Learning. Her earlier research includes frameworks for recommendation systems in social commerce and analyses of e-commerce strategies for local enterprises. With 89 citations by 87 documents, 6 publications, and an h-index of 5, she has demonstrated consistent research impact in the field of information systems and digital innovation.Assist. Prof. Dr. Supattana Sukrat dedication to integrating digital transformation into education and business development continues to shape sustainable growth and technology adoption in emerging markets.

Profiles : Scopus | Google Scholar

Sukrat, S., and Leeraphong, A. (2023). A digital business transformation maturity model for micro enterprises in developing countries. Global Business and Organizational Excellence, 00, 1–28.

Sukrat, S., and Leerapong, A. (2022). An effect of teaching and learning based on work-integrated learning and multidisciplinary instruction in digital marketing and emerging technologies subject. Journal of Education and Innovative Learning, 2(3), 205–222.

Leerapong, A., and Sukrat, S. (2022). Developing learners’ competency through project-based learning: Case study of digital marketing and management course, Faculty of Commerce and Management, Prince of Songkla University, Trang Campus. Journal of Education and Innovative Learning, 2(1), 35–49.

Sukrat, S., and Papasratorn, B. (2018). An architectural framework for developing a recommendation system to enhance vendors’ capability in C2C social commerce. Social Network Analysis and Mining, 8(1), 1–13.

Sukrat, S. (2015). Guidelines for business directions of e-commerce for OTOP. University of the Thai Chamber of Commerce Journal (Humanities and Social Sciences), 35(1), 50–64.

Mohammad Hosain Beheshty | Sustainable Technology | Best Researcher Award

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Prof. Mohammad Hosain Beheshty | Sustainable Technology | Best Researcher Award

Academic Staff, Iran Polymer and Petrochemical Institute, Iran

Prof. Mohammad Hosain Beheshty is a leading polymer scientist and Professor at the Iran Polymer and Petrochemical Institute (IPPI), renowned for his expertise in sustainable polymer technologies, thermoset composites, nanocomposites and prepreg processing. He earned his B.Sc. (1987) and M.Sc. (1991) in Polymer Engineering from Amirkabir University of Technology, Tehran, and completed his Ph.D. in Polymer Composite Materials at the University of Bath, UK, in 1997. Since then, he has held numerous academic and executive positions at IPPI, including Head of Education, Deputy Director of Research Affairs, Head of Composites Department, and Director of the National Megaprojects Center under the Vice-Presidency for Science and Technology. His research interests include polymer composites, materials processing and innovation strategies for sustainable applications, supported by advanced skills in composite characterization, nondestructive testing, and resin quality control. With 74 Scopus-indexed publications, 1,576 citations and an h-index of 23, his work demonstrates both academic impact and industrial relevance. He has served on editorial boards of major polymer journals and chaired the Iran Composite Scientific Association (2016–2022). His honors include recognition as a Distinguished Academic Member of IPPI (2002) and Distinguished Research Manager of MSRT (2008). Prof. Beheshty’s career reflects outstanding research, leadership and commitment to advancing polymer science globally.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

Bahramian, A. R., Kokabi, M., Famili, M. H. N., & Beheshty, M. H. (2006). Ablation and thermal degradation behaviour of a composite based on resol type phenolic resin: Process modeling and experimental. Polymer, 47(10), 3661–3673.

Beheshty, M. H., Harris, B., & Adam, T. (1999). An empirical fatigue-life model for high-performance fibre composites with and without impact damage. Composites Part A: Applied Science and Manufacturing, 30(8), 971–987.

Beheshty, M. H., & Harris, B. (1998). A constant-life model of fatigue behaviour for carbon-fibre composites: The effect of impact damage. Composites Science and Technology, 58(1), 9–18.

Akbari, R., Beheshty, M. H., & Shervin, M. (2013). Toughening of dicyandiamide-cured DGEBA-based epoxy resins by CTBN liquid rubber. Iranian Polymer Journal, 22(5), 313–324.

Hayaty, M., Honarkar, H., & Beheshty, M. H. (2013). Curing behavior of dicyandiamide/epoxy resin system using different accelerators. Iranian Polymer Journal, 22(8), 591–598.

 

Maurizio D’Arienzo | Computer Network | Best Researcher Award

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Assoc. Prof. Dr. Maurizio D’Arienzo | Computer Network | Best Researcher Award

Assoc. Prof. Dr. Maurizio D’Arienzo, University of Campania “L. Vanvitelli”, Italy

Dr. Maurizio D’Arienzo is an accomplished academic and researcher currently serving as an Associate Professor at the Università della Campania “L. Vanvitelli” in Italy. His career spans over two decades, marked by significant contributions to the field of computer networks, particularly in Quality of Service (QoS), software-defined networks, and collaborative diagnosis frameworks. With a distinguished record of research, teaching, and international collaborations, Dr. D’Arienzo has emerged as a prominent figure in the intersection of information engineering and digital transformation. He holds a reputable position in both academia and applied research through his extensive involvement in European and national research projects and his influential presence in international scientific communities.

🌍 Professional Profile

Google Scholar

Orcid

Scopus

🏆 Suitability for Best Researcher Award

Dr. Maurizio D’Arienzo exemplifies academic excellence, interdisciplinary research innovation, and international collaboration. With a strong publication record, impactful teaching, and extensive involvement in pioneering research projects—particularly in the fields of computer networks, quality of service, and emerging technologies like AI and blockchain—Dr. D’Arienzo has significantly advanced the frontiers of information and communication technologies. His contributions have not only garnered academic recognition but have also demonstrated practical relevance in real-world systems. For these reasons, Dr. D’Arienzo is highly deserving of the Best Researcher Award, and his nomination stands as a testament to his sustained commitment to excellence in research, education, and service to the scientific community.

🎓 Education

Dr. D’Arienzo earned his Ph.D. in Information Technology Engineering from the University “Federico II” of Naples in February 2003. His doctoral thesis focused on the “Deployment of Flexible Services over Programmable Networks,” reflecting his early engagement with adaptive network infrastructure. Prior to this, he obtained his Laurea Degree in Electronic Engineering from the same university in June 1999, where he developed an API for Quality of Service control in video-streaming applications. These foundational academic pursuits laid the groundwork for a research career rooted in real-world applicability and future-oriented network architectures.

💼 Experience

Dr. D’Arienzo’s professional journey began with research collaborations under European framework projects and expanded into prominent fellowships in Italy and the UK. He served as a Research Fellow at Imperial College London from 2005 to 2006, engaging in EPSRC-funded research on self-aware networks. From 2006 to 2023, he held a permanent position as Assistant Professor at the Department of Political Science, Università della Campania. He has contributed to diverse projects like Smarthealth 2.0, PRIN, and PATTERN AI, where his work centered around network security, digital experience testing in 5G environments, and blockchain-integrated privacy models. His leadership in digital transformation projects with institutions like Banco Napoli Foundation underscores his ability to bridge academic innovation with institutional application.

🔬 Research Focus

Dr. D’Arienzo’s research is deeply embedded in computer networks, with a core focus on Quality of Service (QoS) mechanisms, scalable architectures, and adaptive protocol design. He has significantly contributed to the theoretical and experimental validation of communication models supporting multi-service integration. His more recent research explores game-theoretical approaches in sensor network coordination, algorithmic resilience in software-defined networking (SDN), and the security of digital infrastructures. His global academic collaborations further enriched his approach, enhancing innovation in network protocol research and experimentation.

🏅 Awards and Honors

Dr. D’Arienzo has been recognized multiple times for his scholarly contributions. He received the Best Paper Award at AFIN 2010 for the work titled “Smoothing selfishness by isolating non-cooperative nodes in wireless ad hoc networks”, and again at IEEE Symposium 2010 for the development of UANM, a unified architecture for network measurement. His continued excellence was acknowledged in 2017 at AFIN for a framework facilitating dynamic deployment in wireless sensor networks. Furthermore, his certification as a reviewer and active participation in over two dozen international conference committees highlight his esteemed role in the peer review ecosystem.

📚 Publication Top Notes

An Experimental Comparison of Basic Device Localization Systems in Wireless Sensor Networks
Journal: Network
Date: April 14, 2025
DOI: 10.3390/network5020011
Contributors: Maurizio D’Arienzo
Summary: This article explores the performance of several basic device localization systems in the context of wireless sensor networks (WSNs). It experimentally compares key techniques based on metrics such as energy efficiency, accuracy, and deployment complexity. The study provides insights into choosing suitable localization methods for various WSN deployment scenarios, emphasizing trade-offs between precision and resource usage.

A Cost Effective Solution for the Deployment of Wireless Sensor Networks
Journal: International Journal of Mobile Network Design and Innovation, 2019
DOI: 10.1504/ijmndi.2019.10027010
ISSN: 1744-2869
Contributors: M. D’Arienzo, S.P. Romano
Summary: This study proposes a low-cost strategy for deploying wireless sensor networks with minimal overhead. It introduces a deployment framework that balances energy consumption, network coverage, and fault tolerance. The methodology integrates hardware constraints and energy-aware protocols to optimize node placement and connectivity, making it suitable for environmental and structural monitoring applications.

GOSPF: An Energy Efficient Implementation of the OSPF Routing Protocol
Journal: Journal of Network and Computer Applications, 2016
DOI: 10.1016/j.jnca.2016.07.011
EID: 2-s2.0-84985990205
Contributors: D’Arienzo, M.; Romano, S.P.
Summary: The paper presents GOSPF, a green-oriented enhancement of the OSPF (Open Shortest Path First) routing protocol, tailored for energy efficiency in IP-based sensor networks. Through simulations and practical analysis, it demonstrates substantial energy savings while maintaining high routing performance, offering a viable solution for green network design in dynamic environments.

Estimation of the Energy Consumption of Mobile Sensors in WSN Environmental Monitoring Applications
Conference: 27th International Conference on Advanced Information Networking and Applications Workshops (WAINA 2013)
DOI: 10.1109/WAINA.2013.33
EID: 2-s2.0-84881435314
Contributors: Darienzo, M.; Iacono, M.; Marrone, S.; Nardone, R.
Summary: This conference paper evaluates energy usage patterns in mobile sensor nodes within environmental WSNs. By proposing a simulation model and real-world testing scenarios, the authors quantify how mobility affects power consumption and propose strategies for optimizing operational lifespans in long-term monitoring setups.

Petri Net Based Evaluation of Energy Consumption in Wireless Sensor Nodes
Journal: Journal of High Speed Networks, 2013
DOI: 10.3233/JHS-130482
EID: 2-s2.0-84892702986
Contributors: D’Arienzo, M.; Iacono, M.; Marrone, S.; Nardone, R.
Summary: Utilizing Petri nets, this paper models the energy consumption behaviors of sensor nodes within WSNs. The approach allows for detailed representation of node states and transitions, providing designers with a tool for simulating and analyzing energy dynamics under different protocol and application conditions.

Dr. XInbo MA | Machine Learning | Best Researcher Award

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Dr. XInbo MA | Machine Learning | Best Researcher Award

Dr. XInbo MA, Northeastern University, China

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Ma Xinbo is a prominent figure in the field of geotechnical engineering, currently serving as an Associate Professor at the College of Resources and Civil Engineering, Northeastern University, Shenyang, China. His scholarly pursuits focus on the intelligent detection of internal fractures in mine rock masses, utilizing advanced imaging techniques to enhance the safety and efficiency of mining operations.

Profile:

Scopus​

Education:

Professor Ma earned his Ph.D. in Geotechnical Engineering from Northeastern University, Shenyang, China, in 2010. His doctoral research laid the foundation for his ongoing commitment to advancing mining safety through technological innovation.​

Experience:

Throughout his career, Professor Ma has held several academic and research positions. Prior to his current role, he served as a Lecturer and then as an Associate Professor at the same institution. His professional journey reflects a steadfast dedication to both teaching and research in geotechnical engineering.​

Research Interests:

Professor Ma’s research interests are centered around the application of intelligent detection methods in mining engineering. A notable area of his work includes the development of techniques for identifying internal fractures in mine rock masses using borehole camera images. This research aims to improve the understanding of rock mass integrity, which is crucial for the safety and sustainability of mining operations.​

Publications:

Professor Ma Xinbo has contributed to several scholarly publications, including:​

  1. “Abcb1 is Involved in the Efflux of Trivalent Inorganic Arsenic from Brain Microvascular Endothelial Cells” by Man Lv, Ziqiao Guan, Jia Cui, Xinbo Ma, Kunyu Zhang, Xinhua Shao, Meichen Zhang, Yanhui Gao, Yanmei Yang, Xiaona Liu. This study explores the role of Abcb1 in mediating arsenic efflux in brain microvascular endothelial cells. Published in 2024. ​
  2. “Liberal Arts in China’s Modern Universities: Lessons from the Great Catholic Educator and Statesman, Ma Xiangbo” by You Guo Jiang. This article discusses the contributions of Ma Xiangbo to liberal arts education in modern China. Published in Frontiers of Education in China, Volume 7, Issue 3, in 2012. ​
  3. “Catholic Intellectuals in Modern China and Their Bible Translation: Li Wenyu and Ma Xiangbo” by Xiaochun Hong. This paper examines the roles of Li Wenyu and Ma Xiangbo in Bible translation efforts in modern China. Published in the Journal of the Royal Asiatic Society, Volume 33, Issue 2, in 2023.

Awards and Recognitions:

Professor Ma’s excellence in research and academia has been acknowledged through various awards and honors. In 2016, he was honored as an Outstanding Graduate of Dalian Maritime University, reflecting his early commitment to academic excellence. He also received the National Scholarship, awarded to the top 0.2% of students by China’s Ministry of Education, in both 2013 and 2016. These accolades highlight his dedication to his field and his institution.​

Conclusion:

Professor Ma Xinbo’s academic journey and research endeavors underscore his pivotal role in advancing geotechnical engineering, particularly in the realm of mining safety. His innovative approaches to fracture detection and his commitment to scholarly excellence make him a valuable asset to the academic community and a strong candidate for the “Best Researcher Award.”

Prof. Dr. Jingguo Lv | Network Security | Best Researcher Award

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Prof. Dr. Jingguo Lv | Network Security | Best Researcher Award

Prof. Dr. Jingguo Lv, Beijing University Of Civil Engineering And Architecture, China

Jingguo Lv is a distinguished professor at the Beijing University of Civil Engineering and Architecture. With a Ph.D. in charting and geographic information science from Beijing Normal University, he has dedicated his career to advancing the fields of remote sensing, digital image processing, and visual tracking. Over the years, he has made significant contributions to research and technology, authoring numerous publications and securing multiple patents. His commitment to education and innovation has established him as a leader in his field.

Professional Profile

orcid

Suitability for Best Researcher Award

Professor Jingguo Lv has demonstrated remarkable achievements in the field of remote sensing, digital image processing, and visual tracking, positioning him as a strong contender for the Best Researcher Award. With over 40 academic articles, four monographs, seven authorized patents, and multiple software copyrights, he has consistently contributed to the academic and industrial advancement of these fields. His ongoing research on multi-source data sharing for power grid engineering and various patented technologies highlights his ability to address complex, real-world challenges using innovative approaches. Furthermore, his leadership in mastering core photogrammetry and remote sensing technologies adds to his contributions in urban remote sensing and disaster monitoring.

 🎓 Education 

Jingguo Lv earned his Ph.D. in charting and geographic information science from Beijing Normal University in 2009. His rigorous academic training equipped him with the knowledge and skills essential for his subsequent career in academia and research. At the Beijing University of Civil Engineering and Architecture, he has not only taught but also inspired countless students. His educational background underpins his research focus, driving innovations in remote sensing and image processing.

💼 Experience 

Since 2009, Jingguo Lv has served as a professor at Beijing University of Civil Engineering and Architecture. His extensive experience includes leading research projects and collaborating with industry partners. He has successfully published over 40 articles and authored four academic monographs, contributing significantly to the field of remote sensing. Additionally, his involvement in consultancy projects and industry collaborations highlights his practical application of academic research, bridging the gap between theory and practice.

 🏅Awards and Honors 

Jingguo Lv’s contributions to science and technology have been recognized through various awards. He holds nine software copyrights and has received several technological awards for his innovations in remote sensing and digital image processing. His work has not only advanced academic knowledge but has also had a tangible impact on industry practices. These honors reflect his commitment to excellence in research and education, marking him as a noteworthy figure in his field.

🌍 Research Focus 

Jingguo Lv’s research centers on remote sensing information extraction, digital image processing, and visual tracking. He is dedicated to developing advanced technologies for data sharing in power grid engineering, utilizing multi-source collaborative data. His ongoing projects aim to enhance the efficiency of data utilization in disaster monitoring and urban studies. By focusing on these areas, he contributes to solving real-world problems through innovative scientific approaches, making significant strides in both academia and industry.

 📖 Publication Top Notes

  • Research on Grid Multi-Source Survey Data Sharing Algorithm for Cross-Professional and Cross-Departmental Operations Collaboration
  • Visual Relationship-Based Identification of Key Construction Scenes on Highway Bridges

Mr. Andrew Stewart | Resource Discovery Award | Best Researcher Award

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Mr. Andrew Stewart | Resource Discovery Award | Best Researcher Award

Mr. Andrew Stewart, Museum of New Zealand Te Papa Tongarewa, New Zealand

Mr. Andrew Stewart, a distinguished alumnus of Victoria University of Wellington 🎓, is a prominent figure at the Museum of New Zealand Te Papa Tongarewa. With a robust career spanning from Assistant Curator to his current role as Curator NE (Fishes), Andrew has made remarkable contributions to the museum’s Vertebrates collection, particularly in Fishes. His leadership has seen the expansion of collections, including a pioneering DNA tissue repository and a cutting-edge alcohol storage facility. Andrew’s taxonomic expertise shines through his extensive publications and contributions to “The Fishes of New Zealand,” solidifying his legacy in fish biology and taxonomy. His dedication has earned him prestigious awards, reflecting his profound impact on the field and his effective science communication efforts 🐟.

🌐 Professional Profile:

Orcid

Education and qualifications

Mr. Andrew Stewart is an alumnus of Victoria University of Wellington in Wellington, NZ, where he earned his Bachelor of Science degree 🎓. His educational journey at this esteemed institution equipped him with the foundational knowledge and skills essential for his career path and ongoing professional development.

Employment Summary

  • 2023–present: Curator NE (Fishes), Museum of New Zealand Te Papa Tongarewa
  • 2018–2023: Assistant Curator: Vertebrates (Fishes), Museum of New Zealand Te Papa Tongarewa

Achievements

Andrew has significantly expanded the Fishes collection, developed a large DNA tissue collection, and led the construction of a state-of-the-art alcohol storage facility. He has been a pivotal figure in media interactions related to fish biology and taxonomy, authored substantial sections of “The Fishes of New Zealand,” and published numerous peer-reviewed papers. His taxonomic expertise is widely recognized, and several fish species bear his name in recognition of his contributions.

Awards and Recognition

Andrew has received accolades such as the best oral presentation at the International Biosafety 8th Annual ABSANZ Conference in 2018 and the Royal Zoological Society of N.S.W. Whitley Medal for his book on the Natural History of Australasian Animals. He was also honored with the New Zealand Association of Scientists’ Science Communicator Award in 1996.

Publication Top Notes:

1.  Upside‐down swimming: in situ observations of inverted orientation in Gigantactis, with a new depth record for the Ceratioidei
Year: 2024-03
2.  Dichichthyidae, a New Family of Deepwater Sharks (Carcharhiniformes) from the Indo–West Pacific, with Description of a New Species
Year: 2024-03-28
3.  The first record of Australian flatback mangrove goby Mugilogobius platynotus (Günther 1861) (Gobiidae; Tridentigerinae) from New Zealand
Year: 2022-05-19
4.  A new species of deep-water triplefin (Pisces: Tripterygiidae) in the genus Ruanoho from coastal New Zealand waters
Year: 2021-06-03
5.  First record of male freshwater eels (Anguilla dieffenbachii) caught at sea
Year: 2019-04-03

 

 

 

Dr. Florence Rashidi | Optocom Awards | Best Researcher Award

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Dr. Florence Rashidi | Optocom Awards | Best Researcher Award

Dr. Florence Rashidi, The University of Dodoma, Tanzania

Dr. Florence Upendo Rashidi, a Tanzanian Christian of Yao tribe descent, was born on February 21, 1982, in Dar es Salaam. She holds a Bachelor’s degree in Computer Science from Makerere University, a Master’s in Engineering in Communication and Information Systems from Huazhong University of Science and Technology, and a Doctorate in Computer Science and Technology from Hunan University. Florence has served in various capacities in academia, including as a lecturer at the University of Dodoma, where she also held administrative roles such as Acting Principal of the College of Informatics and Virtual Education. Her expertise extends to research, with projects funded by organizations like UDOM and COSTECH, focusing on ICT applications in areas such as child abuse reporting and maternal health. Additionally, she’s been involved in consultancy projects, outreach activities promoting STEM education, and mentorship programs for women in cybersecurity. Florence’s academic journey and professional contributions underscore her commitment to advancing technology and education in Tanzania.

Professional Profile:

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🎓 Education:

Dr. Florence Upendo Rashidi pursued her academic journey with zeal and determination, earning her Bachelor of Science in Computer Science from Makerere University, Uganda. Continuing her quest for knowledge, she furthered her studies and obtained a Master’s in Engineering in Communication and Information Systems from Huazhong University of Science and Technology, China. Undeterred by challenges, she pursued her passion for cutting-edge research and academic excellence, culminating in the attainment of a Doctor of Engineering in Computer Science and Technology from Hunan University, China. Through her academic pursuits, Dr. Rashidi has demonstrated a commitment to pushing the boundaries of knowledge in her field and contributing to the advancement of technology on a global scale.

👩🏾‍🏫 Work Experience:

Dr. Florence Upendo Rashidi serves as a dedicated Lecturer at the University of Dodoma, where her responsibilities span teaching both undergraduate and postgraduate students, conducting groundbreaking research, and providing guidance to master’s students under her supervision. Her academic journey has been enriched by her dynamic engagement in various leadership capacities within the university, including stints as Acting Principal, Head of Department, and Coordinator. Prior to her academic tenure, Dr. Rashidi garnered valuable experience in the professional arena, holding pivotal roles such as Systems Analyst, Information System Officer, and Head of Section at esteemed institutions like the Institute of Finance Management and CRDB Bank PLC. Through her diverse experiences, Dr. Rashidi has demonstrated a commitment to both academic excellence and practical application in the field of computer science and technology.

🔍 Research & Projects:

Dr. Florence Upendo Rashidi has been instrumental in leading and contributing to numerous research projects funded by esteemed organizations such as the University of Dodoma (UDOM), LACUNA, and COSTECH. Her expertise and dedication have been pivotal in advancing knowledge and addressing pressing issues in her field. Additionally, Dr. Rashidi has lent her consultancy skills to impactful projects like “Scouting and Mapping dark spots for Community Internet Connectivity,” funded by UNICEF Tanzania. Through her involvement in these initiatives, she has demonstrated a deep commitment to leveraging technology for the betterment of communities and promoting inclusive access to the internet.

Publication Top Notes:

  1. Spectrum slicing WDM for FSO communication systems under the heavy rain weather
    Published Year: 2017
    Journal: Optics Communications
    Cited By: 71
  2. Performance Analysis of Free Space Optical Communication Under the Effect of Rain in Arusha Region, Tanzania
    Published Year: 2014
    Journal: International Journal of Engineering Research & Technology
    Cited By: 13
  3. Analysis of rain effect in free space optical communication under NRZ modulation in two regions of Tanzania
    Published Year: 2014
    Journal: International Journal of Advanced Engineering and Nanotechnology
    Cited By: 8
  4. Performance investigation of FSO–OFDM communication systems under the heavy rain weather
    Published Year: 2017
    Journal: Journal of Optical Communications
    Cited By: 7
  5. Migrant From On Wall Notice-Board To An Online Announcement Displaying System For Tanzanian College’s
    Published Year: 2014
    Journal: International Journal of Research in Computer Applications and Robotics

 

 

 

 

Dr. Reza Serajian | Technology and Communication Awards | Best Researcher Award

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Dr. Reza Serajian | Technology and Communication Awards | Best Researcher Award

Dr. Reza Serajian, University of California Merced, United States

Dr. Reza Serajian holds a Ph.D. in Mechanical Engineering from UC Merced and an M.Sc. from UC Riverside. With expertise in CAD tools like SOLIDWORKS and analysis software such as ANSYS, his research interests lie in precision agriculture. He aims to revolutionize farming practices with advanced sensors for soil and plant health monitoring, alongside innovative mechanical harvesting systems for tree crops. Reza’s experience spans from contributing to agricultural machinery design projects as a Research Assistant to ensuring product quality as a Quality Control Engineer at USIRCO LLC. His comprehensive understanding of mechanical engineering principles coupled with practical experience equips him to tackle real-world challenges effectively.

Professional Profile:

Scopus

Orcid

Linkedin

Google Scholar

🎓 Education:

Reza holds a Ph.D. in Mechanical Engineering from the University of California, Merced, and an M.Sc. in Mechanical Engineering from the University of California, Riverside. His academic background, coupled with extensive practical experience, equips him with a comprehensive understanding of mechanical engineering principles and their real-world applications.

🛠️ Skills:

Reza possesses a diverse skill set including proficiency in CAD tools like SOLIDWORKS, CATIA, and FUSION 360, as well as analysis software such as ANSYS and MATLAB. His expertise extends to data analysis, technical documentation, and innovative problem-solving. Additionally, he demonstrates strong leadership capabilities, effective team collaboration, and in-depth knowledge of mechanical engineering principles.

👨‍🔬 Professional Experience:

As a Research Assistant at UCM, Reza contributed to projects focused on the design and fabrication of agricultural machinery and nonlinear control of robotic manipulators. His role involved designing controllers, conducting field testing, and analyzing performance under various conditions. Prior to this, he served as a Quality Control Engineer at USIRCO LLC, ensuring product quality and compliance with industry standards.

📚 Research Focus:

Dr. Reza Serajian is a pioneering researcher delving into the realm of precision agriculture 🌱 His focus spans from developing advanced sensors for monitoring soil and plant health to designing innovative mechanical harvesting systems tailored for tree crops 🌳 With a keen interest in mechanization and automation, Dr. Serajian aims to revolutionize farming practices, ensuring efficiency and sustainability for future generations 🚜✨

🏆 Patents:

Reza has contributed to innovative technologies, including a patented produce pickup system designed to enhance efficiency and reliability. This invention reflects his dedication to advancing mechanical engineering solutions and addressing industry challenges.

🚆 Research and Internship Experience:

During his academic journey, Reza gained valuable experience as a Research Assistant at KNTU, where he focused on train derailment stability design and analysis. Additionally, he interned at Karaj Rebuilding Locomotive Co., where he worked on brake system design and dynamical system stress analysis, further honing his practical skills and expertise.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 162 documents indexed in Scopus.
  • 📊 Citations: A total of 5,827 citations for his publications, reflecting the widespread impact and recognition of Dr. Reza Serajian’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 10535 📖
    • h-index: 47  📊
    • i10-index: 138 🔍
  • Since 2018:
    • Citations: 5984 📖
    • h-index: 36 📊
    • i10-index: 94 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publication Top Notes: