Jiajia Shi | Predictive Analytics | Best Researcher Award

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Ms. Jiajia Shi | Predictive Analytics | Best Researcher Award

Jianghan University | China

Profile Verified

Orcid

🧩 Suitability Summary

Ms. Shi’s research stands out for its interdisciplinary approach, combining design education, psychology, and heritage architecture. Her work titled “The Psychological Resonance of Place: Spatial Narratives and Identity in the Historical Educational Landscapes of Rongxiang, China” reflects a deep exploration of how place and identity are interwoven in educational heritage. As a young scholar contributing to a rarely explored niche, her innovative perspective and cultural insight make her a strong contender for the Best Researcher Award.

📘 Education & Experience

Ms. Jiajia Shi is currently a Ph.D. candidate in Design Education at Jiangnan University, China. Her academic focus is on the intersection of educational space design and cultural heritage, particularly how design contributes to educational experiences and identity formation. With a strong foundation in design theory and spatial narratives, she is engaged in critical inquiry into how historical educational environments influence present-day learning and cultural continuity.

📈 Professional Development

Ms. Shi is actively involved in the 2022 Jiangsu Provincial Graduate Research Innovation Program, through her project titled “Research on the Inheritance and Activation Design of the Rongxiang Educational Architectural Heritage in Wuxi” (Project No.: KYCX22_2297). Though still early in her career, she has demonstrated initiative by securing competitive provincial-level research funding and contributing to academic publications in SSCI-indexed journals, underscoring her development as a serious academic professional.

🔬 Research Focus

Her research focuses on design education, with specific interests in educational space design, spatial narratives, and the psychological impact of historical architecture on identity. By examining the educational landscapes of Rongxiang, she investigates how spatial environments shape collective memory, cultural identity, and pedagogical experience. Her innovative approach bridges design theory, historical analysis, and educational psychology, offering a fresh perspective on heritage activation and design strategy in educational contexts.

🏆 Honors & Awards

Ms. Shi is a nominee for the Best Researcher Award, in recognition of her contribution to the understanding of spatial identity and design education. Her work within a government-supported research program and the publication of results in peer-reviewed, high-impact journals highlight both her academic rigor and future potential in design research.

📚 Selected Publication

The Psychological Resonance of Place: Spatial Narratives and Identity in the Historical Educational Landscapes of Rongxiang, China

  • Authors: Jiajia Shi, Liangchen Tian

  • Journal: Integrative Psychological and Behavioral Science

  • Year: 2025

 

Zied Guitouni | Cryptographie | Best Researcher Award

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Dr. Zied Guitouni | Cryptographie | Best Researcher Award

ISSAt Mahdia | Tunisia

PUBLICATION PROFILE

Scopus

🎓 EARLY ACADEMIC PURSUITS

DR. ZIED GUITOU began his academic journey with a Baccalauréat in Mathematics (2000), paving the way for a focused career in electronics and microelectronics. He earned his Maîtrise in Electronics and Instrumentation (2004) from ESSTT, followed by a Master’s degree in Microelectronic Devices and Systems (2006) from FSM. His academic excellence culminated in a Ph.D. in Electronics (2012) from FST, with a thesis focused on the study and implementation of random and pseudo-random key generators for cryptographic systems. His education, deeply rooted in both theory and practical application, set a strong foundation for his technical and pedagogical contributions.

👨‍🏫 PROFESSIONAL ENDEAVORS

Dr. Guitou holds the title of Maître Assistant in Electronics at ISSAT Mahdia, Tunisia, where he has been actively teaching since 2019. His professional experience also includes a notable tenure as a professional and technical trainer at the Faculty of Technology in Riyadh, Saudi Arabia (2013–2019). Over the years, he has taught a wide array of subjects across undergraduate and postgraduate levels, ranging from analog and digital electronics to cryptography and VHDL systems, demonstrating a versatile teaching profile and strong engagement in academic development.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Guitou’s primary research interests revolve around cryptographic systems, random key generation, VHDL implementations, and emerging areas such as artificial intelligence, blockchain, and machine learning. His doctoral and master’s research tackled core challenges in cryptographic security, while his more recent work delves into neural cryptosystems, quantum communication algorithms (e.g., BB84), and blockchain-based hashing. His supervision of numerous master’s theses and engineering projects shows a deep commitment to mentoring innovation in applied electronics and AI systems.

🌍 IMPACT AND INFLUENCE

Beyond teaching, Dr. Guitou has left a mark through his organizational and administrative roles. He is the Director of the Department of ICT at ISSAT Mahdia, a member of the scientific council, and actively involved in quality assurance and entrepreneurial programs. He has helped organize international conferences including CCSITA 2024, CCITT 2025, and AIEB 2021, all of which serve to bring international visibility to Tunisia’s academic and research communities. His participation in pedagogical training programs—such as AI for higher education and machine learning workshops—highlights his commitment to continuous learning and interdisciplinary collaboration.

📚 ACADEMIC CITES

Dr. Guitou has supervised both research and professional master’s theses on cutting-edge topics including wireless sensor network security, autonomous navigation systems, neural cryptosystems, and AI-powered medical applications. These projects, often hosted in collaboration with notable Tunisian institutions and laboratories, contribute to Tunisia’s growing body of applied research in AI and electronics. His guidance has resulted in multiple successful thesis defenses with mentions of ‘Très Bien’ and ‘Bien’, affirming the academic impact of his mentorship.

🧠 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Guitou’s legacy lies in his unwavering dedication to educational excellence, research supervision, and institutional development. His ongoing work in artificial intelligence integration, quantum security systems, and intelligent electronics signals a bright future, both for his students and the broader academic ecosystem. As he continues to take on leadership roles and mentor future innovators, his contributions will shape the evolution of engineering education and smart technologies in North Africa.

📝 FINAL NOTE

DR. ZIED GUITOU is a distinguished academician, researcher, and mentor whose contributions span cryptographic innovation, AI in electronics, and academic leadership. With his multidimensional expertise and a clear vision for technological advancement, he continues to be a pillar in Tunisia’s academic and technological spheres, driving forward innovation, education, and collaborative research excellence.

 📚 TOP NOTES PUBLICATIONS

Article: An efficient hardware implementation of SHA-3 using 3D cellular automata for secure wireless sensor networks

Authors: Zied Guitouni, Noeman Ammar, Mohsen Machhout
Journal: International Journal of Information Security
Year: 2025

Article: Advanced error correction method for quantum key distribution in IoT systems

Authors: Zied Guitouni, Sirine Maize, Mounir Zrigui, Mohsen Machhout
Journal: Physica Scripta
Year: 2024

Article: An efficient hardware implementation of SHA-3 using 3D cellular automata for secure blockchain-based IoT systems

Authors: Zied Guitouni, Noeman Ammar, Mohsen Machhout
Journal: Engineering Research Express Journal
Year: 2024

Article: A QoS Analysis of SHA Algorithms for IoT Systems

Authors: Zied Guitouni, Eya Ben Brahim, Mounir Zrigui, Mohsen Machhout
Journal: International Journal of Emerging Trends in Engineering Research
Year: 2024

Article: Security Analysis of the BB84 Protocol in IoT Networks

Authors: Zied Guitouni, Sirine Maize, Mounir Zrigui, Mohsen Machhout
Journal: International Journal of Advanced Trends in Computer Science and Engineering
Year: 2024

Mersha Minwuyelet | Biology Education | Editorial Board member

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Dr. Mersha Minwuyelet l Biology Education | Editorial Board member

Begemidir College of Teachers Education, Ethiopia

Author Profile

Orcid

Early Academic Pursuits 🎓

Mersha Minwuyelet Kassa‘s academic journey began at Bahir Dar University, where he pursued his Bachelor’s in Biology Education (B.Ed.) in 1999, followed by a Master’s in Biology (M.Sc.) in 2002. His thesis, titled Prevalence and Antibiotic Susceptibility of Bacteria Isolated from Diarrheal Patients in Bahir Dar, North West Ethiopia, explored critical health issues. He later attained a Doctor of Education in Biology in 2024 from the same institution. His commitment to advancing education and scientific understanding has been the driving force behind his academic endeavors.

Professional Endeavors 🌍

Dr. Kassa has accumulated over 12 years of experience as a lecturer at the College of Teachers Education in Ethiopia. His roles as an HIV/AIDS Focal Person for various NGOs and as a research team member at Finote Selam College of Teacher Education highlight his broad professional portfolio. He has dedicated his career to fostering quality education, particularly in biology, and to ensuring the holistic development of students. His leadership roles also include serving as a director and HIV/AIDS focal person, contributing to the wellbeing of students and faculty.

Contributions and Research Focus 🔬

Dr. Kassa’s research has made significant contributions to the field of Biology education, particularly in using multimedia and dynamic classroom-integrated instruction. His innovative approach to biology teaching, along with his focus on practical applications like the “Using Formula New Approach of Multiplication Table,” reflects his desire to enhance student engagement and academic success. His latest research, published in Heliyon (2024), addresses the impact of multimedia and dynamic teaching methods on the academic achievement of Grade 11 students in Biology.

Impact and Influence 🌟

Dr. Kassa’s work has had a lasting impact on the educational landscape in Ethiopia. His research in HIV/AIDS prevention among students, alongside his publications and involvement in international research conferences, has helped raise awareness and drive educational reform. By applying innovative teaching strategies, he has empowered both educators and students, influencing their approach to learning and research. His innovative methods in classroom instruction have significantly enhanced the quality of education in the institutions where he has worked.

Academic Cites 📚

Dr. Kassa’s contributions to academic research are well-regarded. His work has been cited in international journals and conferences, with notable publications such as “Effect of Using Multimedia and Dynamic Classroom Integrated Instruction on Grade 11 Students’ Biology Academic Achievement” published in Heliyon (2024). His citation in prominent scientific publications and leadership roles reflect his status as a recognized scholar in the field of Biology education.

Technical Skills 🖥️

Dr. Kassa is proficient in essential computer software, including MS Word, MS Excel, and MS PowerPoint. These skills enhance his ability to plan and present complex educational materials effectively. Furthermore, his research and teaching methodologies incorporate the use of multimedia and dynamic classroom strategies, showcasing his technical expertise in leveraging technology for educational enhancement.

Teaching Experience 🍎

With over a decade of experience, Dr. Kassa has excelled as a biology educator. His teaching spans various educational levels, from junior and high schools to teacher education colleges. He has trained students in both scientific knowledge and ethical practices, particularly in health-related topics such as HIV/AIDS prevention. His comprehensive approach to teaching integrates the latest research and technology, ensuring that his students are well-prepared for both academic and professional challenges.

Legacy and Future Contributions 🔮

Dr. Kassa’s legacy lies in his ability to inspire future generations of educators and students. As he continues to contribute to biological sciences and education, his impact is felt not only in Ethiopia but also globally through his publications and research presentations. Looking forward, Dr. Kassa aims to further innovate in teaching methodologies, research, and educational leadership, continuing to shape the future of biology education and contribute to the broader scientific community.

📖 Top Noted Publications
Effect of Using Multimedia and Dynamic Classroom Integrated Instruction on Grade 11 Students’ Biology Academic Achievement
    • Authors: Mersha Minwuyelet Kassa, Mulugeta Kibret Azene, Solomon Melesse Mengstie, Melaku Wale Ferede
    • Journal: Heliyon
    • Year: 2024
Using Formula New Approach of Multiplication Table
    • Authors: Mersha Minwuyelet Kassa
    • Journal: International Journal of Advances in Scientific Research and Engineering
    • Year: 2018

Nabras Al-Mahrami | Proteomics | Best Researcher Award

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Mr. Nabras Al-Mahrami | Proteomics | Best Researcher Award

Oman College of Health Sciences, Oman

Author Profiles 📚

Scopus

Orcid

Early Academic Pursuits 🎓

Mr. Nabras Al-Mahrami’s academic journey has been marked by a strong foundation in molecular medicine and bioinformatics. After completing his BSc in Medical Laboratory Science at Oman College of Health Sciences in 2018, he pursued an MSc in Molecular Medicine (Bioinformatics) at the Cyprus Institute of Neurology and Genetics in Cyprus, graduating in 2022. His research project, titled “Bioinformatics approach to related genetic variants with functionality, phenotype, and pathogenicity,” underscores his deep interest in understanding the genetic basis of diseases through bioinformatics techniques. This academic background enabled him to merge laboratory science with computational biology seamlessly.

Professional Endeavors 🧬

Mr. Al-Mahrami has developed a strong professional profile, especially in bioinformatics, through his roles at Oman College of Health Sciences and the National Genetic Center. As a Bioinformatician at the Royal Hospital in Muscat from 2018 to 2024, he played a key role in genomics data analysis, developing pipelines for whole genome sequencing (WGS), whole exome sequencing (WES), and target panel analysis. His work also spanned Genome-Wide Association Studies (GWAS), Gene Set Enrichment Analysis (GSEA), RNA-seq analysis, and proteomics data analysis, demonstrating his broad and diverse expertise in the molecular biology and bioinformatics fields.

Contributions and Research Focus 🔬

Mr. Al-Mahrami’s research has greatly contributed to the field of bioinformatics, particularly in genetic variant analysis, phenotypic predictions, and understanding the pathogenicity of diseases. His use of advanced tools like machine learning, molecular docking, and network interaction analysis in the development of bioinformatics tools has further enhanced the precision of genomic research. His impactful research involves bridging the gap between bioinformatics, molecular genetics, and clinical applications, fostering advancements in precision medicine.

Impact and Influence 🌍

Through his work, Mr. Al-Mahrami has influenced bioinformatics research not only in Oman but globally. His involvement in high-profile conferences, such as the 5th Congress of Reproductive Genetics and the Precision Med Exhibit and Summit 2023, has allowed him to share his insights on cutting-edge genetic technologies and their clinical applications. His academic contributions have positioned him as a key figure in applying bioinformatics approaches to real-world medical challenges.

Academic Cites 📚

Mr. Al-Mahrami has contributed significantly to academic advancements. His research and presentations have been featured at various scientific conferences and workshops, such as the Gene Set Enrichment Analysis Workshop hosted by the Swiss Bioinformatics Institute. His academic works and insights into genetic technologies are widely cited and discussed in the bioinformatics and medical communities, particularly regarding the potential of AI-driven bioinformatics tools in healthcare.

Technical Skills 💻

Mr. Al-Mahrami possesses advanced technical skills essential for modern bioinformatics. His proficiency in R (RStudio) and Python programming allows him to handle large datasets and perform complex analyses, while his experience with Linux OS and HPC ensures that his computational work is efficient and scalable. Additionally, his knowledge in CSS and JavaScript aids in the development of user-friendly bioinformatics tools and applications.

Teaching Experience👨‍🏫

In 2024, Mr. Al-Mahrami took on the role of Academic Faculty in Bioinformatics at Oman College of Health Sciences, where he teaches Principles of Bioinformatics, covering both theoretical and practical modules, and Laboratory Management. His ability to impart knowledge to students helps shape the next generation of bioinformaticians, ensuring they are equipped with both theoretical insights and hands-on experience in the field. His passion for education extends beyond the classroom, influencing students to pursue careers in bioinformatics and molecular medicine.

Legacy and Future Contributions 🌟

Looking forward, Mr. Al-Mahrami’s journey is marked by his commitment to expanding bioinformatics research and education in Oman and beyond. His work in genomic data analysis, AI integration, and bioinformatics tools development lays the groundwork for future innovations in personalized medicine. His legacy will likely include contributing to groundbreaking research and training future generations of bioinformaticians, particularly in regions with emerging biomedical research landscapes. With his continued involvement in both academia and research, his influence on the scientific community is poised to grow, fostering a deeper understanding of the genetic basis of diseases and improving patient care globally.

Top Noted Publications 📖

Exploring advanced genomic and immunoinformatics techniques for identifying drug and vaccine targets against SARS-CoV-2
    • Authors: Syed Luqman Ali, Awais Ali, Waseef Ullah, Abdulaziz Alamri, Elham Mohammed Khatrawi, Gulzira Sagimova, Aigul Almabayeva, Farida Rakhimzhanova, Gulsum Askarova, Fatima Suleimenova et al.
    • Journal: Journal of Genetic Engineering and Biotechnology
    • Year: 2024
In-silico and in-vitro studies to identify potential inhibitors of SARS-CoV-2 spike protein from Omani medicinal plants
    • Authors: Nabras Al-Mahrami, Smitha Sunil Kumaran Nair, Adhra Al Mawali, Raja-Mohamed Beema Shafreen, Saeed Ullah, Sobia Ahsan Halim, Ahmed Al-Harrasi, Nallusamy Sivakumar
    • Journal: Heliyon
    • Year: 2024
Bioinformatics Approach is Unraveling Potential Crosstalk between Cytomegalovirus and Epilepsy
    • Authors: Salim Al Rashdi, Nabras Al-Mahrami
    • Journal: Preprint
    • Year: 2024
PlantMedOman: an online database for Oman’s medicinal plants
    • Authors: Department of Computing and Electronics Engineering, Middle East College, Sultanate of Oman; Smitha Sunil Kumaran Nair; Aqsa Bibi; Nabras Al-Mahrami; Piyusha Mahesh Satam; Alya Al Farsi et al.
    • Journal: Bioinformation
    • Year: 2024

yunhao zhao | Data Analysis Innovation | Best Researcher Award

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Assoc Prof Dr. yunhao zhao | Data Analysis Innovation | Best Researcher Award

Qingdao Huanghai University, China

Author Profile

Orcid 

🧑‍🎓 Early Academic Pursuits

Yunhao Zhao was Shandong, P.R. China. His academic journey began with a strong foundation in International Economics and Social Security studies, setting the stage for his future research. After completing his undergraduate education, he became an associate professor at Qingdao Huanghai University, where he also supervises undergraduate students. His quest for further knowledge continues as he pursues a Ph.D. at The Catholic University of Korea, focusing on the evolving fields of economics and social security.

👨‍🏫 Professional Endeavors

Dr. Zhao’s academic career has been marked by significant contributions in the realms of data analysis and economic research. As an All-Media Operator and Associate Professor, he actively engages in both teaching and research at Qingdao Huanghai University. His dedication to advancing knowledge in the academic sphere extends to overseeing the academic progress of undergraduate students, ensuring they are equipped with the necessary skills and insights to excel in their respective fields.

📊 Contributions and Research Focus

Dr. Zhao’s primary research areas are data analysis, internet of things (IoT), and auction theory. His most notable work focuses on congestion control in IoT systems, where he applied auction theory to improve performance and efficiency. His research contributions are significant in their potential to drive forward the development of smarter and more efficient IoT networks. Furthermore, his work on energy consumption reduction demonstrates the real-world impact of his methods, achieving a remarkable 24.13% reduction in energy usage in experimental scenarios.

🌍 Impact and Influence

Dr. Zhao’s work has already made notable contributions to the global research community, evidenced by his publication in Scientific Reports (SCI) and recognition in high-impact journals. His research on IoT and auction theory has contributed to solving critical issues in technology and energy efficiency, impacting industries reliant on smart technology. His scholarly output has the potential to influence policy and innovation in areas such as network management and resource optimization.

🔧 Technical Skills

Dr. Zhao possesses advanced technical skills in data analysis, machine learning, and network optimization, particularly within the context of IoT systems. His expertise in auction theory and its applications in real-world scenarios is a testament to his depth of understanding and innovation in these areas. He is also adept at utilizing advanced analytical tools and methods to derive actionable insights from complex datasets.

👩‍🏫 Teaching Experience

As an Associate Professor at Qingdao Huanghai University, Dr. Zhao has extensive experience in educating the next generation of scholars and professionals. His role as a supervisor for undergraduate students allows him to nurture young talent and help shape their academic journeys. His commitment to teaching is evident through his personalized mentorship approach, guiding students to succeed in both their academic and professional aspirations.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Zhao aims to continue contributing to the field of International Economics and Social Security Studies, with a strong emphasis on data-driven solutions. His work has already proven impactful, and he intends to further refine his methodologies to solve pressing global issues such as economic inequality, social security systems, and technological advancements in IoT. His legacy will undoubtedly inspire future researchers and practitioners in these fields, and his work has the potential to pave the way for groundbreaking solutions in economic policy and technological development.

🏆 Recognition and Awards

Dr. Zhao’s academic achievements have garnered recognition within the research community. He is a strong candidate for the Best Researcher Award for his ongoing contributions to data analysis and IoT research. His ability to surpass existing methodologies, particularly in terms of energy efficiency, sets him apart as an innovator in his field. His commitment to advancing knowledge and solving real-world problems makes him a deserving nominee for such accolades.

 

📖 Top Noted Publications

Congestion control in internet of things (IoT) using auction theory
    • Authors: Zhenlong Li; Yunhao Zhao
    • Journal: Scientific Reports
    • Year: 2024
Enhancing China’s green GDP accounting through blockchain and artificial neural networks (ANNs) and machine learning (ML) modeling
    • Authors: Nasi Wang; Yunhao Zhao; Jun Li; Guanfeng Cai
    • Journal: Scientific Reports
    • Year: 2024
Speech emotion analysis using convolutional neural network (CNN) and gamma classifier-based error correcting output codes (ECOC)
    • Authors: Yunhao Zhao; Xiaoqing Shu
    • Journal: Scientific Reports
    • Year: 2023

Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

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Assist Prof Dr. Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun at East Central University, United States

👨‍🎓Professional Profiles

📚 Summary

Dr. Ying-Chih Sun is an Assistant Professor of Business Administration – Information Technology Management at East Central University. With a Ph.D. in Information Systems Engineering and Management and a strong academic background in economics, data analytics, and IT management, his research focuses on AI applications in healthcare, telehealth, and supply chain management. He is passionate about integrating business analytics with IT solutions to improve operational efficiencies across industries.

🎓 Education

Dr. Sun holds a Ph.D. in Information Systems Engineering and Management (ISEM) from Harrisburg University of Science and Technology (2023), where he graduated with a perfect 4.0 GPA. He also earned M.S. degrees in Economics from the University at Buffalo (2018) and Texas A&M University (2010), and an M.B.A. in Applied Economics (Summa Cum Laude) from National Taiwan Ocean University (2005). He completed his undergraduate studies in International Trade at Tamkang University (2003).

💼 Professional Experience

Dr. Sun is currently serving as an Assistant Professor at East Central University, teaching courses in Business Economics, Data Analytics, and Cloud Management. Before this, he was an Assistant Professor in Residence at Bradley University (2023-2024), where he contributed to research and teaching in business analytics. He also worked as a Research Assistant at Harrisburg University (2019-2023), conducting research on telehealth and healthcare delivery. Previously, he served as an IT Research Data Analyst at SUNY Buffalo and held roles at the Institute of Economics, Academia Sinica and Tri-Service General Hospital in Taiwan.

📝 Academic Publications & Conferences

Dr. Sun has presented at major conferences like the DSI Conference 2024, AMCIS 2024, and MWAIS 2024. His research papers focus on a range of topics, including telehealth efficiency, AI in healthcare, digital reputation in business schools, and supply chain optimization. His recent work on “Evaluating Telehealth Efficiency” and “Enhancing Judicial Decision-Making with AI” exemplifies his interdisciplinary approach to solving complex business and healthcare challenges.

💻 Technical Skills

Dr. Sun possesses advanced proficiency in data analytics tools like SQL, STATA, and Excel for statistical modeling and large data analysis. He is also familiar with Python and has hands-on experience in cloud management and telehealth technology. His technical skills enable him to approach research from both an analytical and technological perspective, focusing on improving efficiency in healthcare and business operations.

👨‍🏫 Teaching Experience

Dr. Sun has extensive teaching experience, having taught courses at East Central University (2024-present) in Business Economics, Data Analytics, and Cloud Management. He previously taught at Bradley University (2023-2024), covering Business Analytics and Business Analytics Software. Additionally, during his time at SUNY at Buffalo (2015-2018), he served as a Grader and Teaching Assistant for various econometrics courses and contributed to graduate-level teaching in Computational Econometrics.

🔬 Research Interests

Dr. Sun’s primary research interests lie at the intersection of AI, telehealth, and business analytics. He explores how data-driven decision-making can enhance healthcare delivery and operational efficiency, with a focus on telemedicine applications and the use of machine learning for healthcare and business management. His work on optimizing AI investments and supply chain management has important implications for improving cost-effectiveness and decision-making in businesses and healthcare systems.

 

📖 Top Noted Publications

A stochastic production frontier model for evaluating the performance efficiency of artificial intelligence investment worldwide

Authors: Sun, Y.-C., Cosgun, O., Sharman, R., Mulgund, P., Delen, D.
Journal: Decision Analytics Journal
Year: 2024

The impact of policy and technology infrastructure on telehealth utilization

Authors: Sun, Y.-C., Cosgun, O., Sharman, R.
Journal: Health Services Management Research
Year: 2024

The Effect of Varying User Risk Levels on Perceived Social Presence in Mental Health Chatbots

Authors: Thimmanayakanapalya, S.S., Singh, R., Mulgund, P., Sun, Y.-C., Sharman, R.
Conference: 29th Annual Americas Conference on Information Systems (AMCIS 2023)
Year: 2023

Songkeart Phattarapattamawong | Technology development | Best Researcher Award

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Assoc Prof Dr. Songkeart Phattarapattamawong | Technology development | Best Researcher Award

Assoc Prof Dr. Songkeart Phattarapattamawong at King Mongkut’s University of Technology Thonburi, Thailand

👨‍🎓  Profiles

📚 Education

Assoc. Prof. Dr. Songkeart Phattarapattamawong holds a Ph.D. in Urban Management from Kyoto University, Japan (MEXT Scholarship), an M.Eng. in Environmental Engineering and Management from the Asian Institute of Technology, Thailand (Royal Scholarship), and a B.Eng. in Environmental Engineering from King Mongkut’s University of Technology Thonburi, Thailand (1st Class Honours).

🏆 Accolades and Recognition

Dr. Phattarapattamawong has received numerous awards, including the 1st place in the Energy Research Proposal Contest (2024) and multiple medals at the Japan Design, Idea & Invention Expo (2019). He was also honored with the Thai Royal Decoration in 2020 and has secured significant research grants from prestigious organizations like the National Research Council of Thailand.

👔 Professional Experience

Currently, he serves as an Associate Professor in the Department of Environmental Engineering at King Mongkut’s University of Technology Thonburi (2020 – Present) and as the Chairperson of the International B.Eng. Program in Environmental Engineering (2019 – Present). His past roles include Postdoctoral Fellow at Kyoto University and Business Advisor at Thai Isekyu Co.Ltd..

🔬 Research Interests

His research interests include Water Treatment and Reclamation, Adsorption and Advanced Oxidation Processes, Emerging Pollutant Control, and Waste Resource Recovery, as well as Circular and Green Economy Management.

 

📖 Top Noted Publications

Development of the novel advanced electrooxidation process for decolorization of recalcitrant dyes (Methylene Blue, Rhodamine B, Congo Red): Effect of operating factors

    • Authors: Thanaree Dokpikul, Jiratchaya Umpanhorm, Thanyamas Choldhichanand, Pannika Duangkaew, Songkeart Phattarapattamawong
    • Journal: Environmental Advances
    • Volume: 2024
    • Issue: TBD
    • Pages: TBD
    • Year: 2024

Effect of propionate-cultured sludge augmentation on methane production from upflow anaerobic sludge blanket systems treating fresh landfill leachate

    • Authors: Pinpatthanapong, Khathapon; Puengpraput, Tunyaporn; Phattarapattamawong, Songkeart; Phalakornkule, Chantaraporn; Panichnumsin, Pornpan; Boonapatcharoen, Nimaradee; Paensiri, Phimchaya; Malila, Kanokwan; Ponata, Nattapong; Ngamcharoen, Thakrit et al.
    • Journal: Science of the Total Environment
    • Volume: 2023
    • Issue: TBD
    • Pages: TBD
    • Year: 2023

Global assessment of chemical quality of drinking water: The case of trihalomethanes

    • Authors: Villanueva, Cristina M.; Evlampidou, Iro; Ibrahim, Fathelrahman; Donat-Vargas, Carolina; Valentin, Antonia; Tugulea, Anca-Maria; Echigo, Shinya; Jovanovic, Dragana; Lebedev, Albert T.; Lemus-Perez, Mildred et al.
    • Journal: Water Research
    • Volume: 2023
    • Issue: TBD
    • Pages: TBD
    • Year: 2023

Synergistic degradation of trimethoprim and its phytotoxicity via the UV/chlorine process: Influencing factors on removal and kinetic

    • Authors: Siriluk Ekwong; Jarungwit Boonnorat; Kun-Yi Andrew Lin; Songkeart Phattarapattamawong
    • Journal: Journal of Environmental Science and Health, Part A
    • Volume: 2023
    • Issue: 3
    • Pages: 218-229
    • Year: 2023

Nitrogen-containing carbon hollow nanocube-confined cobalt nanoparticle as a magnetic and efficient catalyst for activating monopersulfate to degrade a UV filter in water

    • Authors: Duong Dinh Tuan; Kwon, Eilhann; Phattarapattamawong, Songkeart; Bui Xuan Thanh; Ta Cong Khiem; Lisak, Grzegorz; Wang, Haitao; Lin, Kun-Yi Andrew
    • Journal: Journal of Environmental Chemical Engineering
    • Volume: 2022
    • Issue: 10
    • Pages: 106989
    • Year: 2023

Propionate-cultured sludge bioaugmentation to enhance methane production and micropollutant degradation in landfill leachate treatment

    • Authors: Pinpatthanapong, Khathapon; Panichnumsin, Pornpan; Phalakornkule, Chantaraporn; Phattarapattamawong, Songkeart; Treesubsuntorn, Chairat; Boonapatcharoen, Nimaradee; Ketbuppha, Kanjana; Phanwilai, Supaporn; Boonnorat, Jarungwit
    • Journal: Bioresource Technology
    • Volume: 2022
    • Issue: 349
    • Pages: 127241
    • Year: 2022