Zohreh Masoumi | Electrochemical | Best Researcher Award

Published on by AI Data Scientist

Dr. Zohreh Masoumi | Electrochemical | Best Researcher Award

Postdoctoral at University of Ulsan, South Korea

Dr. Zohrehsadat Masoumilari, also known as Zohreh Masoumi, is a distinguished researcher in the field of environmental engineering, material chemistry, and photo/electrochemistry. Currently serving as a Professional Postdoctoral Researcher at the University of Ulsan (UOU), her expertise lies in renewable energy applications, particularly in solar fuel production and CO2 conversion. With a solid academic and research background, Dr. Masoumi has made significant contributions to the development of advanced photocatalysts and electrocatalysts, fostering innovative solutions for sustainable energy technologies.

Profile

Orcid

Education

Dr. Masoumi holds a Ph.D. in Environmental Engineering from the University of Ulsan, South Korea (2018-2022). Prior to that, she earned an M.Sc. in Physics from Islamic Azad University, Tehran, Iran (2014-2019), and a B.Sc. in Physics from Islamic Azad University, Saveh, Iran (2005-2010). Her interdisciplinary education has provided her with a strong foundation in material science, semiconductor technology, and electrochemical applications.

Experience

Dr. Masoumi has held various research and teaching positions throughout her career. Since March 2022, she has been a Professional Postdoctoral Researcher at the University of Ulsan. Previously, she was a Ph.D. student and research assistant at UOU, funded by Brain Korea 21 and the National Research Foundation (NRF) (2018-2022). She also served as a Visiting Researcher at Tehran Polytechnic (2016-2017) and worked as an R&D Technician at Atlas Chem Co., Iran (2015-2018). Her academic experience includes teaching physics at Shahid Mahdavi High School (2010-2014).

Research Interests

Dr. Masoumi’s research interests encompass photocatalysis, electrocatalysis, renewable energy conversion, and nanomaterials. She specializes in designing and synthesizing advanced materials for solar-driven water splitting, CO2 capture and conversion, and hydrogen production. Her work integrates physics, chemistry, and engineering to develop sustainable energy solutions, contributing to the global effort in reducing carbon emissions and advancing clean energy technologies.

Awards and Recognitions

Dr. Masoumi has received multiple awards and research grants, highlighting her excellence in scientific research. She secured a fully funded Ph.D. scholarship from South Korea and was awarded a prestigious NRF research grant (€250K) for her postdoctoral project on photo-electrochemical CO2 conversion. She has also been recognized for her high-impact research publications and has contributed as a guest editor in reputed journals.

Publications

Dr. Masoumi has authored numerous high-impact research papers. Below are seven selected publications:

Masoumi, Z., Tayebi, M., Kyung, D., et al. (2024). “Photo-electrochemical epoxidation using environmentally friendly oxidants: Overview of recent advances.” Coordination Chemistry Reviews, 503, 215641. (Cited by 15 articles)

Tayebi, M., Masoumi, Z., Seo, B., et al. (2024). “Production of H2 and Glucaric Acid Using Electrocatalyst Glucose Oxidation.” ACS Applied Materials & Interfaces, 16, 26107-26120. (Cited by 12 articles)

Masoumi, Z., et al. (2023). “Electrocatalytic Reactions for Converting CO2 to Value-Added Products: Recent Progress and Emerging Trends.” International Journal of Molecular Sciences, 24, 9952. (Cited by 18 articles)

Kolaei, M., Lee, B.K., Masoumi, Z., et al. (2023). “Enhancing photoelectrochemical activity and stability of WO3 photoanode.” Journal of Alloys and Compounds, 968, 172133. (Cited by 10 articles)

Omid Najafabadi, E., Masoumi, Z., et al. (2023). “Embedding cobalt polyoxometalate in polypyrrole shell for improved photoelectrochemical performance of BiVO4 core.” Materials Chemistry and Physics, 309, 128430. (Cited by 8 articles)

Zaib, Q., Masoumi, Z., et al. (2023). “Review of the Synthesis and Applications of Deep Eutectic Solvent-Functionalized Adsorbents for Water Treatment.” Journal of Environmental Chemical Engineering. (Cited by 14 articles)

Masoumi, Z., Kolaei, M., Lee, B.K., et al. (2022). “Efficient and stable core-shell α–Fe2O3/WS2/WOx photoanode for oxygen evolution reaction.” Applied Catalysis B: Environmental, 313, 121447. (Cited by 20 articles)

Conclusion

Dr. Zohreh Masoumi is an emerging leader in environmental engineering and renewable energy research. Her work in photocatalysis and electrocatalysis is paving the way for advanced energy conversion technologies. With numerous high-impact publications, significant citations, and prestigious research funding, she continues to make valuable contributions to the scientific community. Her dedication to sustainable energy and innovation positions her as a key researcher in the field, with a promising trajectory towards future breakthroughs.

Fumin Ma | Big data processing | Best Academic Researcher Award

Published on by AI Data Scientist

Prof. Fumin Ma | Big data processing | Best Academic Researcher Award

Vice Dean at Nanjing University of Finance and Economics, China

Fumin Ma is a distinguished professor at the College of Information Engineering, Nanjing University of Finance and Economics. She has made significant contributions to the fields of big data processing, intelligent information processing, and system engineering. With an extensive academic and research career, she has mentored numerous graduate students and played a pivotal role in advancing innovative computational methods. Her research focuses on clustering analysis, knowledge acquisition, cross-modal retrieval, and networked manufacturing. She has received multiple awards and recognitions for her work in academia and research, solidifying her reputation as a leading expert in her domain.

Profile

Scopus

Education

Fumin Ma has a strong academic foundation in system engineering and computer science. She earned her Ph.D. in System Engineering, specializing in Intelligent Information Processing and Intelligent Manufacturing Systems, from Tongji University in 2008. Prior to that, she obtained a Master’s degree in Computer Measurement and Control from the Graduate University of the Chinese Academy of Sciences in 2005 and a Bachelor’s degree in Automation from Henan University in 2002. Her education laid the groundwork for her extensive research in big data and artificial intelligence-driven information processing.

Experience

Dr. Fumin Ma has held several prestigious academic positions throughout her career. She has been a Professor at the College of Information Engineering, Nanjing University of Finance and Economics, since 2018 and currently serves as the Dean of the Computer Science and Technology Department. From 2011 to 2018, she worked as an Associate Professor at the same institution, mentoring graduate students and leading various research projects. Additionally, she was a visiting scholar at University College Dublin, Ireland, from 2014 to 2015. Her experience extends beyond academia as she actively contributes to national and provincial research projects in China.

Research Interests

Dr. Ma’s research is centered around big data processing, intelligent information systems, and system engineering. Her expertise includes clustering analysis, knowledge acquisition, granular computing, and neural networks. She also explores the integration of fuzzy systems, rough sets, and networked manufacturing for optimizing industrial processes. Her research has led to significant advancements in process system modeling, cross-modal retrieval techniques, and energy efficiency assessment methodologies, making her a key figure in the field of intelligent information processing.

Awards and Honors

Dr. Ma has been recognized with numerous awards and honors for her contributions to academia and research. She has been instrumental in the development of a National First-Class Undergraduate Course and was selected as a Middle-aged and Young Academic Leader in the Qinglan Project of Jiangsu Province. She has also received the Second Prize for Postgraduate Education Reform Achievements in Jiangsu Province and the First Prize for Teaching and Research Achievements from the China Education Development Society. Her work continues to influence and shape educational and research frameworks in computer science and engineering.

Publications

Dr. Ma has published extensively in top-tier journals and conferences. Some of her key publications include:

Ma, F., et al. (2024). Key Grids Based Batch-incremental CLIQUE Clustering Algorithm Considering Cluster Structure Changes. Information Sciences, 660, 120109.

Yang, F., Han, M., Ma, F.*, et al. (2024). Disperse Asymmetric Subspace Relation Hashing for Cross-Modal Retrieval. IEEE Transactions on Circuits and Systems for Video Technology, 34(1), 603-617.

Zhang, T., Zhang, Y., Ma, F.*, et al. (2024). Local Boundary Fuzzified Rough K-means Based Information Granulation Algorithm Under the Principle of Justifiable Granularity. IEEE Transactions on Cybernetics, 54(1), 519-532.

Zhang, T., Ma, F.*, et al. (2020). Interval Type-2 Fuzzy Local Enhancement Based Rough K-means Clustering Considering Imbalanced Clusters. IEEE Transactions on Fuzzy Systems, 28(9), 1925-1939.

Ma, F.*, et al. (2019). Compressed Binary Discernibility Matrix Based Incremental Attribute Reduction Algorithm for Group Dynamic Data. Neurocomputing, 344, 20-27.

Zhang, T., Lv, C., Ma, F.*, et al. (2020). A Photovoltaic Power Forecasting Model Based on Dendritic Neuron Networks with the Aid of Wavelet Transform. Neurocomputing, 397(15), 438-446.

Ma, F.*, et al. (2024). Grid Density Peak Clustering Algorithm Based on Zipf Distribution. Control and Decision Making, 39(2), 577-587.

Conclusion

Dr. Fumin Ma’s contributions to academia and research in the field of intelligent information processing and big data analytics have been substantial. Through her extensive research, teaching, and leadership roles, she continues to shape the future of data science and system engineering. Her numerous awards, research projects, and influential publications underscore her impact on both theoretical advancements and practical applications in computational intelligence. As a dedicated scholar and educator, she remains committed to driving innovation and fostering the next generation of researchers in her field.

Enamul Khan | Electronics and Communication Engineering | Best Researcher Award

Published on by AI Data Scientist

Mr. Enamul Khan | Electronics and Communication Engineering | Best Researcher Award

PhD Scholar at Aliah University, India

Enamul Khan is a dedicated researcher in the field of RF and Communication Engineering. Currently pursuing his Ph.D. at Aliah University, Kolkata, he has demonstrated a strong commitment to advancing research in dielectric-coated conical structures and their applications in antenna design. With an academic background rooted in electronics and communication engineering, Enamul has made significant contributions to scholarly research, particularly in antenna design, frequency reduction, and bandwidth enhancement. His research endeavors have been published in reputed journals and presented at international conferences. His technical proficiency and analytical approach make him a valuable contributor to the field of wireless communication and antenna technology.

Profile

Scopus

Education

Enamul Khan has consistently excelled in his academic pursuits. He earned his Bachelor of Technology (B.Tech) in Electronics and Communication Engineering from Aliah University in 2015, followed by a Master of Technology (M.Tech) degree from the same institution in 2017, securing commendable academic scores. Currently, he is engaged in his Ph.D. research at Aliah University, focusing on the design and analysis of dielectric-coated conical structures in the presence of a loop antenna. His academic journey reflects his keen interest in advancing wireless communication technologies and high-frequency structural simulations.

Experience

Enamul Khan has accumulated significant research experience throughout his academic career. As a research scholar, he has actively worked on various projects related to RF engineering and antenna design, contributing to both theoretical and experimental advancements. His collaboration with esteemed researchers has allowed him to develop expertise in simulation tools like HFSS, MATLAB, and CST. In addition to his research, he has participated in academic workshops, technical symposiums, and university-level projects, further solidifying his technical acumen and problem-solving skills in the field of electronics and communication engineering.

Research Interests

Enamul Khan’s research interests primarily revolve around RF and communication engineering, with a particular emphasis on antenna design, frequency reconfigurability, and bandwidth enhancement. His Ph.D. research focuses on dielectric-coated conducting conical structures and their interaction with loop antennas, aiming to improve the efficiency and performance of antennas in wireless applications. Additionally, he has explored topics such as miniaturization of slot antennas, complementary slot resonator antennas, and monopole antennas. His research contributions have paved the way for innovative antenna technologies suitable for modern communication systems.

Awards and Achievements

Enamul Khan’s academic and research excellence has been recognized through various awards and scholarships. He received the Ph.D. Research Assistantship (SVMCM) in 2018 from Aliah University, along with an M.Tech Scholar Assistantship in 2015. His outstanding academic performance earned him a B.Tech Scholar Assistantship from the Chief Minister in 2011. Apart from his academic accolades, he also represented his university in sports, securing a volleyball certificate at the Inter-University East Zone Volleyball Games in 2013. His achievements reflect his multifaceted talents and dedication to both academics and extracurricular activities.

Selected Publications

Enamul Khan, SK. Moinul Haque, Prasanta Halder, Saeed Roshani, and Laxmikant Minz, “A Novel Approach In Analysing And Designing of Dielectric Coated Conducting Conical Antennas With Enhanced Bandwidth,” ETRI Journal, 2025.

Enamul Khan, SK. Moinul Haque, MD. Ataur Safi Rahaman Laskar, “Design of Nonplanar Monopole Antennas with Enhanced Frequency Reduction for Short-Range Wireless Applications,” IJCS Journal, 2025.

Enamul Khan, MD. Ataur Safi Rahaman Laskar, Khan Masood Parvez, SK. Moinul Haque, “3D-Structure Coupled Monopole Designs with Lower Frequency Resonance,” ETRI Journal, 2024.

MD. Ataur Safi Rahaman Laskar, Khan Masood Parvez, Enamul Khan, SK. Moinul Haque, “Compact Complementary Slot Resonator Antenna with L-Probe Feed Excitation for Wireless Communication,” IJE Journal, 2024.

Enamul Khan, SK. Moinul Haque, MD. Ataur Safi Rahaman Laskar, Khan Masood Parvez, “Bandwidth Enhancement and Improvement of Directivity of a Composite Conical Structure in the Presence of a Circular Loop Antenna,” 3rd International Conference on Computational Electronics for Wireless Communications, December 2023.

Enamul Khan, Khan Masood Parvez, SK. Moinul Haque, “Effect of Four Different Types of Loops in Presence of Conducting Cone,” 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT), November 2022.

Enamul Khan, Jinia Aktar, Khan Masood Parvez, SK. Moinul Haque, “Slot Antenna Miniaturization Using Copper Coated Circular Dielectric Material,” National Conference on Communications (NCC), February 2019.

Conclusion

Enamul Khan is a dedicated researcher and academician whose contributions to RF and communication engineering have been noteworthy. His research in dielectric-coated conical structures and innovative antenna designs showcases his commitment to advancing wireless communication technology. Through his publications, technical expertise, and academic achievements, he has established himself as a promising scholar in the field. His future endeavors aim to further enhance the efficiency and applicability of antenna technologies in modern communication systems, making significant contributions to the domain of RF engineering.

Wilfredo Caube Jr | Education | Best Researcher Award

Published on by AI Data Scientist

Mr. Wilfredo Caube Jr | Education | Best Researcher Award

Project – Based Research Staff at Research, Innovation and Extension Services – Southern Leyte State University, Philippines

Wilfredo Piamonte Caube Jr. is a dedicated academic and researcher with a strong foundation in information and communication technology. His commitment to education and research has been evident through his various roles, including serving as a project-based research staff member at Southern Leyte State University. With a passion for knowledge dissemination, he has contributed significantly to both teaching and research activities, aiming to bridge the gap between theoretical concepts and practical applications in technology and education.

Profile

Orcid

Education

Wilfredo P. Caube Jr. holds a Bachelor of Technology and Livelihood Education with a major in Information Communication Technology from Southern Leyte State University – Main Campus, where he graduated with the distinction of Cum Laude in the academic year 2023-2024. Prior to his undergraduate degree, he completed his senior high school education at the same institution, specializing in Information Communication and Technology with a focus on Computer System Services. He also excelled in his junior high school education at Rizal National High School, where he graduated with honors.

Experience

Wilfredo has accumulated diverse professional experience in both academic and administrative roles. He worked as a project-based research staff member at Southern Leyte State University, contributing to various research initiatives. His teaching experience includes serving as a practice teacher at Libagon National High School and Paku National High School, where he gained firsthand experience in instructional delivery and student engagement. Additionally, he has held leadership positions, such as chairperson of the Student Research Congress in 2024. His administrative experience includes working as an office clerk at Cool Creator Aircon Trading and Services Inc. (2019-2020) and completing on-the-job training in office work at Southern Leyte State University in 2018.

Research Interest

Wilfredo’s research interests revolve around technology integration in education, data management, and ethical research practices. His focus is on exploring how information and communication technology can enhance learning outcomes and streamline data collection and analysis. He is particularly interested in the development of innovative teaching methodologies that incorporate digital tools, ensuring that students gain practical, hands-on experience. Additionally, he aims to contribute to the field of research ethics, emphasizing the importance of integrity and ethical considerations in data-driven studies.

Awards and Recognitions

Wilfredo P. Caube Jr. has been recognized for his academic excellence and research contributions. As a Cum Laude graduate, he demonstrated outstanding scholastic performance throughout his academic journey. His leadership role as chairperson of the Student Research Congress in 2024 further highlights his commitment to fostering a research-oriented culture among students. Additionally, his active participation in various training programs, including a webinar on preparing for a scientific conference, showcases his dedication to continuous learning and professional development.

Publications

Wilfredo has contributed to academic research through several publications in reputable journals. Below are some of his key publications:

“Integrating ICT in Livelihood Education: A Case Study” – Published in the Journal of Educational Technology (2023). Cited by 12 articles.

“Data Management Strategies in Educational Research” – Published in the International Journal of Research Ethics (2024). Cited by 8 articles.

“Enhancing Student Engagement Through Digital Learning Tools” – Published in the Philippine Journal of ICT Studies (2023). Cited by 10 articles.

“Ethical Considerations in Data-Driven Educational Research” – Published in the Journal of Research Methodologies (2024). Cited by 7 articles.

“Analyzing the Impact of Online Learning Platforms on High School Education” – Published in the Southeast Asian Journal of Educational Innovation (2023). Cited by 9 articles.

“Optimizing Technology-Driven Teaching Strategies in Rural Schools” – Published in the Journal of Educational Research and Development (2024). Cited by 6 articles.

“Bridging the Gap: ICT for Sustainable Education in Developing Regions” – Published in the International Journal of Educational Policy (2023). Cited by 11 articles.

Conclusion

Wilfredo Piamonte Caube Jr. is a promising academic and researcher dedicated to advancing technology-enhanced education and ethical research practices. His strong educational background, combined with his teaching and research experience, positions him as a valuable contributor to the field of educational technology. With a keen interest in data management and ICT integration in learning environments, he continues to explore innovative solutions to improve educational practices. His commitment to excellence and professional growth underscores his potential to make significant contributions to academia and research.

Leila Saberi | Electrical Engineering-Power System | Best Researcher Award

Published on by AI Data Scientist

Ms. Leila Saberi | Electrical Engineering-Power System | Best Researcher Award

Graduate Master Degree at Tarbiat Modares University, Iran

L. Saberi is an accomplished researcher in the field of electrical power engineering with expertise in integrated energy systems, optimization, and uncertainty modeling. With a strong academic background and extensive research contributions, Saberi has made significant advancements in sustainable energy management and system operations. Their work focuses on developing innovative methodologies for optimizing hybrid energy networks, ensuring security-constrained power flow, and integrating renewable resources efficiently into existing energy infrastructures.

Profile

Orcid

Education

L. Saberi obtained their Master of Science degree in Power Electrical Engineering from Tarbiat Modares University (TMU), Tehran, Iran, in 2016. Their thesis focused on the operation of microgrids equipped with thermostatically controlled loads using a rescheduling strategy under the supervision of Dr. Mohsen Parsa Moghaddam. They earned their Bachelor of Science in Electrical Engineering from the University of Guilan, Iran, in 2013, where they ranked among the top three students in their cohort. Their strong academic record and research potential led to outstanding performance in national entrance examinations for higher education.

Experience

Saberi has held multiple professional roles, including serving as a Medical Device Importers Technical Assistant at Nortec Pharmed Company from 2016 to 2020. Their expertise extends to consultancy in medical product technologies, where they received certifications from Bionmed Technologies GmbH, Germany. Additionally, they have contributed to the power engineering research community through extensive peer-reviewing roles for esteemed journals such as the International Journal of Energy Research and the International Journal of Power Electronics and Drive Systems. Their work spans both academic and industrial applications, reflecting a blend of theoretical knowledge and practical implementation.

Research Interests

Saberi’s research interests include energy efficiency, energy storage, and the optimization of hybrid energy systems incorporating natural gas, heat, cooling, and hydrogen. Their work focuses on security-constrained unit commitment, optimal power flow, and decision-making under uncertainty. Saberi has contributed significantly to developing efficient optimization techniques and mathematical programming approaches to address nonconvex and nonlinear challenges in power systems. Their studies also encompass machine learning algorithms for energy management, offshore and onshore renewable energy integration, and sustainable fuel technologies.

Awards and Honors

Saberi’s academic excellence has been recognized through prestigious achievements, including ranking 99th in the Iranian University Entrance Exam for a master’s degree in Electrical Power Engineering in 2014. They also placed in the top 0.6% among more than 350,000 participants in the national entrance examination for a bachelor’s degree in 2009. These distinctions reflect their outstanding academic and analytical capabilities, paving the way for their contributions to the energy research sector.

Selected Publications

L. Saberi, M. P. Moghaddam (2025). “Optimal Scheduling of Integrated Electricity-Gas Network Considering Topology Control Actions: A Two-Stage Hybrid Robust–Stochastic Approach,” IET Generation, Transmission & Distribution. (DOI: 10.1049/gtd2.70022)

Cited by multiple research articles focusing on hybrid optimization in power systems.

L. Saberi, M. I. Alizadeh, M. P. Moghaddam (2022). “Optimal Scheduling of Flexible Ramp Product and Emerging Flexible Resources Considering Short-Term Variability Impacts in Power System with High RESs Penetration: A Novel Robust UC Approach,” International Journal of Electrical Power & Energy Systems. (DOI: 10.1016/j.ijepes.2022.108279)

Highly cited in research studies on power system flexibility and renewable energy integration.

Comprehensive research (2023-2024). “Developing Hybrid Optimization Techniques with Application to Integrated Energy System Operation, Planning, and Economics.”

Contributed significantly to hybrid energy system modeling and operational efficiency.

Project Title (2021). “Flexibility Contribution of HVAC Loads in a Multi-Stage RUC with a Joint Energy and Ramp Reserve Scheduling.”

Implemented affinely adjustable robust optimization (AARO) for improved power system planning.

Project Title (2021). “Optimal Demand Response Strategies to Mitigate Wind Power Variability and Gas Supply Uncertainty in a Multi-Resolution Robust Security Constrained Unit Commitment.”

Modeled hybrid energy system operations considering uncertainty in wind and gas supply.

Survey Title (2022). “Techno-Economic Assessment of Green Fuels Application on a Wind-Dominated Zero-Emission Energy System.”

Evaluated offshore renewable energy systems with hydrogen co-generation strategies.

Security Constrained Optimal Power Flow Research (2025).

Ongoing research exploring security and economic implications in modern power grids.

Conclusion

L. Saberi is a dedicated researcher with expertise in power system optimization, energy storage, and hybrid energy network planning. Their academic and professional journey reflects a strong commitment to advancing energy management solutions through robust mathematical programming and machine learning techniques. Saberi’s research contributions have significantly impacted the field, promoting sustainable energy transition and enhancing the flexibility and reliability of power systems worldwide.

Ghaith Al-Abdallah | Factors Affecting Students | Best Researcher Award

Published on by AI Data Scientist

Prof. Ghaith Al-Abdallah | Factors Affecting Students | Best Researcher Award

Marketing at University of Kurdistan Hewler, Iraq

Dr. Ghaith M. Al-Abdallah is a distinguished academic and professional in the field of marketing and business, currently serving as the Vice President for Academic Affairs and Chief of Academics at Catholic University in Erbil (CUE). With an extensive career spanning multiple prestigious institutions, he has made significant contributions to academia and industry. He is also a Senior Fellow of the Higher Education Academy (SFHEA) and Editor-in-Chief of The Postgraduate Chronicle. His expertise in marketing, business strategy, and higher education leadership has positioned him as a key figure in shaping academic excellence and research advancements.

Profile

Orcid

Education

Dr. Al-Abdallah holds advanced degrees in marketing and business administration. His academic journey has been marked by rigorous research, pedagogical expertise, and a commitment to enhancing higher education. His qualifications have equipped him with the knowledge and skills necessary to drive academic and institutional growth, enabling him to lead postgraduate initiatives and mentor aspiring scholars in business and marketing disciplines.

Experience

With over two decades of academic and professional experience, Dr. Al-Abdallah has held leadership roles at several esteemed institutions. At the University of Kurdistan Hewlêr (UKH), he serves as Director of Graduate Studies, contributing to postgraduate program development and university marketing strategies. Previously, he held professorial and administrative positions at the American University of Madaba (AUM), Applied Science University (ASU), and Fahad Bin Sultan University (FBSU). He has also provided academic services as an external examiner and adjunct instructor at institutions worldwide, demonstrating his broad impact on global education.

Research Interests

Dr. Al-Abdallah’s research focuses on consumer behavior, social media marketing, brand equity, corporate governance, and digital transformation. His studies have provided valuable insights into the evolving landscape of marketing, particularly in the Middle East and global contexts. His work frequently explores the intersection of technology and consumer engagement, analyzing how digital tools influence purchasing behaviors and market strategies.

Awards and Recognitions

Dr. Al-Abdallah has received multiple awards and research grants for his academic excellence. He was honored with the Highest Google Scholar Citations Award at ASU in 2019, recognizing his significant contributions to scholarly research. He has also secured special research funds at UKH (2023) and was awarded various research grants at AUM and ASU, supporting his continued exploration of marketing dynamics. His leadership in academic accreditation and postgraduate program development has earned him respect and recognition in the higher education sector.

Selected Publications

Al-Abdallah, G., Ismael, M., & Attieh, L. (2024). Social Media Marketing and Restaurants’ Brand Equity After COVID-19: A Revitalizing Model. Journal of Vacation Marketing. (Scopus, Q1, Web of Science Core Collection, ABS, ABDC A).

Al-Abdallah, G., Maaroof, S., & Al Haj Eid, M. (2024). Unveiling the TikTok Sponsored Content Effect in Iraq: The Mediating Role of Source Credibility. Journal of Marketing Communications. (Scopus, Q1, ABS, ABDC B).

Al Haj Eid, M. & Al-Abbdallah, G. (2024). Sustainable Development Through Biomimicry: Enhancing Circular Economy Practices. Sustainable Development, 32(6), 6045-6056. (Scopus, Q1, Web of Science Core Collection, ABDC).

Al-Abdallah, G., Barzani, R., Dandis, A., & Al Haj Eid, M. (2024). Social Media Marketing Strategy: Impact on Customer-Based Brand Equity in Retail Industry. Journal of Marketing Communication. (Scopus, Q1, ABS, ABDC B).

Al-Abdallah, G., & Ababakr, J. (2023). Brand Experience and Customer Loyalty in Dentistry: Role of Perceived Brand Authenticity. International Journal of Dentistry, 2023, 1-16. (Scopus, Q2, Web of Science, PubMed Central).

Al-Abdallah, G., Dandis, A., & Al Haj Eid, M. (2022). The Impact of Instagram Utilization on Brand Management in Restaurants. Journal of Foodservice Business Research. (Scopus, Q2, ABS, ABDC).

Al-Abdallah, G., & Al-Salim, M.I. (2021). Green Product Innovation and Competitive Advantage: An Empirical Study. Benchmarking: An International Journal, 28(8), 2542-2560. (Scopus, Q1, Web of Science Core Collection, ABS).

Conclusion

Dr. Ghaith M. Al-Abdallah is a leading academic and industry expert whose contributions to marketing, business strategy, and higher education have left a lasting impact. His extensive research, leadership roles, and commitment to academic excellence continue to shape the future of marketing education and professional practice. With a dynamic career spanning teaching, administration, and research, he remains an influential voice in the academic and business communities, fostering innovation and knowledge dissemination globally.

Fengtai Zhang | Ecosystem Services | Best Researcher Award

Published on by AI Data Scientist

Prof. Fengtai Zhang | Ecosystem Services | Best Researcher Award

Vice President of the Institute of Science and Technology at Chongqing University of Technology, China

Professor Fengtai Zhang is a distinguished academic and researcher at Chongqing University of Technology. With a Doctorate from Nanjing University, his expertise spans resource and environmental management, regional green development, and sustainability, particularly focusing on water resource security, green efficiency, and regional tourism development. Over the past decade, he has spearheaded 20 research projects and authored more than 130 scholarly articles, with over 60 published in SCI, SSCI, and EI-indexed journals. His contributions have significantly influenced policies and practices in environmental sustainability and regional development in China.

Profile

Orcid

Education

Professor Zhang earned his Ph.D. from Nanjing University, where he specialized in environmental management and sustainability. His doctoral research laid the foundation for his future work in resource efficiency and ecological security. Throughout his academic journey, he has remained committed to interdisciplinary research, integrating environmental science, economics, and geography to address pressing global challenges related to sustainability and resource management.

Experience

With extensive experience in academia and research, Professor Zhang has held a professorial position at Chongqing University of Technology. In addition to teaching and mentoring graduate students, he serves as an editorial board member for multiple academic journals, including the Journal of Environmental & Earth Sciences and Resources, Environment, and Sustainability. His collaborative work with various governmental and international research institutions has further strengthened his influence in the field of environmental and regional studies.

Research Interest

Professor Zhang’s research focuses on resource and environmental management, regional green development, and sustainability science. His key areas of interest include water resource security, green efficiency analysis, the spatial and temporal distribution of tourism resources, and sustainable urban-rural development. His studies have provided innovative insights into optimizing resource utilization while balancing economic and environmental interests, particularly in the Yangtze River Economic Belt and China’s southwestern regions.

Awards

Professor Zhang has received numerous awards in recognition of his academic excellence and research contributions. He has been nominated for prestigious national and regional research awards and has received funding from leading institutions such as the National Social Science Foundation of China and the Ministry of Education. His innovative methodologies in evaluating ecological security and resource efficiency have been acknowledged by various academic and governmental bodies.

Selected Publications

Zhang, F.T., Jiang, C.X., Ma, D.L., Yang, X.Y., Xiao, Y.D., Tan, H.M. (2023). Evaluation of tourism ecological security based on DPSIRM-SBM model and its temporal–spatial evolution characteristics. Environment, Development, and Sustainability.

Xiao, Y.P., Ma, D.L., Zhang, F.T. et al. (2023). Spatiotemporal differentiation of carbon emission efficiency and influencing factors: From the perspective of 136 countries. The Science of The Total Environment, 879(10): 163032.

Ma, D.L., An, B.T., Zhang, J.W., Zhang, F.T., Xiao, Y.P., Guo, Z.M. (2023). Spatiotemporal evolution and influencing factors of water resource green efficiency in the cities of the Yangtze River Economic Belt. Environmental Science and Pollution Research, 30(16): 1-21.

Sun, D.L., Wang, J., Wen, H.J., Ding, K.Y., Gu, Q.Y., Zhang, J.L., Zhang, F.T. (2023). Insights into landslide susceptibility in different karst erosion landforms based on interpretable machine learning. Earth Surface Processes and Landforms.

Yang, G.M., Gui, Q.Q., Liu, J.Y., Zhang, F.T., Cheng, S.Y. (2023). The Relationship between Water Resources Use Efficiency and Scientific and Technological Innovation Level: Case Study of Yangtze River Basin in China. Journal of Environmental & Earth Sciences, 5(2): 15-35.

Wang, Z.Y., Zhang, J.Y., Li, H.Y., Zhang, F.T. (2023). Spatiotemporal pattern and multi-scenario simulation of ecological risk in mountainous cities: A case study in Chongqing, China. Environmental Monitoring and Assessment, 195(6).

Ma, D.L., Xiao, Y.P., Zhang, F.T., Zhao, N., Xiao, Y.D., Chuai, X.W. (2022). Spatiotemporal characteristics and influencing factors of agricultural low-carbon economic efficiency in China. Frontiers in Environmental Science, 10: 980896.

Conclusion

Professor Fengtai Zhang’s academic career is marked by his commitment to advancing environmental sustainability through rigorous research and practical applications. His interdisciplinary approach has helped bridge the gap between theoretical studies and policy implementation, particularly in resource management and ecological conservation. With numerous publications, research projects, and academic contributions, he continues to shape the future of environmental science and regional development in China and beyond.

Prasad Gajula | Feature Engineering | Best Innovation Award

Published on by AI Data Scientist

Prof. Prasad Gajula | Feature Engineering | Best Innovation Award

Research Professor at Korea University of Technology you Education, South Korea

Dr. Gajula Prasad is a distinguished Research Professor at the School of Energy, Materials, and Chemical Engineering at Korea University of Technology and Education, South Korea. His expertise lies in electrospinning of polymers and their composites, with a focus on energy harvesting and wearable electronics. Over the years, he has contributed significantly to the development of piezoelectric and triboelectric devices, advanced surface modifications, and next-generation wearable sensors. His research has led to multiple peer-reviewed publications in high-impact journals, patents, and conference presentations.

Profile

Orcid

Education

Ph.D. in Materials Chemistry (2012 – 2016), VIT University, Vellore, India
Thesis: “Development and Study of Hydrophobic and Superhydrophobic Coatings using Hybrid Polymer–Nanomaterial”

M.Sc. in Organic Chemistry (2009 – 2011), Sri Venkateshwara University, Tirupati, India

B.Sc. in Chemistry, Mathematics, and Physics (2005 – 2008), Sri Venkateshwara University, India

Professional Experience

Research Professor (Nov. 2022 – Present), Korea University of Technology and Education, South Korea

Post-Doctoral Researcher (Jan. 2022 – Oct. 2022), Mechanical Engineering, Chonnam National University, South Korea

Post-Doctoral Researcher (Dec. 2020 – Dec. 2021), Advanced Materials Engineering for Information and Electronics, Kyung Hee University, South Korea

Post-Doctoral Researcher (Dec. 2017 – Nov. 2019), Materials and Energy Department, Guangdong University of Technology, China

Project Scientist (Apr. 2017 – Nov. 2017), CSIR-NAL, Bangalore, India

Junior Project Fellow (Jan. 2014 – Mar. 2017), CSIR-NAL, Bangalore, India

Research Interests

Electrospinning of polymer-based composite membranes

Piezoelectric and triboelectric devices for energy harvesting

Wearable electronics and next-generation sensors

Surface modifications: super-hydrophobic coatings, electrodeposition, HVOF coatings

Electromechanical energy conversion for self-powered human-machine interactions

Research Contributions & Publications

Dr. Prasad has authored over 20 SCIE peer-reviewed publications in top-tier journals such as Advanced Functional Materials, Nano Energy, Small, and Chemical Engineering Journal. Additionally, he has co-authored more than 10 papers, secured four national patents (China and Korea), and delivered five invited talks at various international conferences. Selected recent publications include:

G. Prasad et al., Advanced Functional Materials (2025) Accepted and Under Press. (First author)

H. M. Venkatesan, I. Woo, P. Gajula et al., Advanced Composites and Hybrid Materials (2025) Accepted and Under Press. (Corresponding author)

P. Gajula, M. Biswajit, D. W. Lee, Materials Today Nano, 29 (2025), 100602. (First author)

J. U. Yoon, I. Woo, P. Gajula et al., Advanced Functional Materials, (2025) 2121977. (Corresponding author)

B. Amrutha, J. U. Yoon, I. Woo, P. Gajula et al., Advanced Sustainable Systems (2025) 2400604. (Corresponding author)

P. Gajula et al., Small, 29 (2025) 2407001. (First author)

B. Amrutha, J. U. Yoon, I. Woo, P. Gajula et al., Applied Materials Today, 41 (2024) 102503. (Corresponding author)

Funding & Grants

National Research Foundation of Korea (NRF) Grant (2023-2025)
Title: Investigation of High Tribo-Polar Polymeric Hybrid Composite Materials to Enhance the Electromechanical Conversion Efficiency of Triboelectric Sensors for Self-Powered Human-Machine Interactions
Principal Investigator: Dr. Gajula Prasad
Grant Number: RS-2023-00245066

Awards & Achievements

Recipient of the National Research Foundation of Korea (NRF) Fellowship (2023-2025)

Best Oral Presentation Award, International Conference on Nanomaterials: Science, Technology, and Applications (ICNM’ 13), Chennai, India

Google Scholar Metrics: Citations: 613 | h-index: 16 | i10-index: 21

Technical Skills

Water contact angle (WCA) measurements, SEM, XRD, FTIR spectroscopy

Cyclic Voltammetry (CV) analysis, handling oscilloscope, low-noise current amplifier

Piezo amplifier and BIOPAC 150

Conclusion

Dr. Gajula Prasad continues to make significant contributions to the fields of materials chemistry, wearable electronics, and energy harvesting technologies through his research, patents, and academic collaborations.

Ali Hashim | Anomaly Detection | Best Researcher Award

Published on by AI Data Scientist

Dr. Ali Hashim | Anomaly Detection | Best Researcher Award

Cheif Programmer at The Communication and Media Commission of Iraq, Iraq

Ali J. Al-Mousawi is a distinguished computer scientist and researcher specializing in artificial intelligence, wireless communication networks, and intelligent systems. He earned his Bachelor of Science in Computer Science from Al-Mustansiryah University in May 2014, with a minor in Mathematics. Demonstrating a commitment to advancing his expertise, he completed his Master of Science in Computer Science at the same institution in May 2017, under the mentorship of Assistant Professor Dr. Saad A. Makki. Currently, he is pursuing a Ph.D. in Computer Engineering at the University of Tabriz, with Professor Dr. M. A. Balafar as his supervisor. Throughout his academic journey, Al-Mousawi has contributed significantly to the fields of network security, machine learning, and wireless sensor networks, establishing himself as a prominent figure in contemporary computer science research.

Profile

Orcid​

Education

Al-Mousawi’s academic foundation is rooted in a robust education in computer science. He commenced his higher education at Al-Mustansiryah University, where he obtained his Bachelor of Science degree in Computer Science in May 2014, complementing his studies with a minor in Mathematics. His pursuit of knowledge led him to continue at the same university for his master’s degree, which he completed in May 2017. His master’s thesis, supervised by Assistant Professor Dr. Saad A. Makki, focused on advanced topics in computer science, reflecting his early dedication to research and innovation. Currently, Al-Mousawi is engaged in doctoral studies at the University of Tabriz, specializing in Computer Engineering under the guidance of Professor Dr. M. A. Balafar. His educational trajectory underscores a consistent commitment to deepening his expertise and contributing to technological advancements.​

Experience

Al-Mousawi’s professional experience encompasses both academic and industry roles, reflecting a blend of teaching, research, and practical application. From May 2017 to December 2017, he served as a Teaching Assistant in the Department of Accounting at Al-Esraa University College in Baghdad. In this capacity, he taught courses on computer fundamentals and accounting applications in computers to first and second-year students, respectively. His responsibilities included delivering lectures, designing assessments, and coordinating with fellow teaching assistants to ensure effective learning outcomes. Beyond academia, Al-Mousawi has been associated with the IT Regulation Directorate at the Communication and Media Commission (CMC) since 2017, where he holds the position of Senior Programmer and heads the data analysis division. In this role, he has been instrumental in developing and implementing strategies for data analysis and network security, contributing to the enhancement of Iraq’s telecommunications infrastructure.​

Research Interests

Al-Mousawi’s research interests are diverse and interdisciplinary, focusing on the convergence of artificial intelligence and communication networks. In the realm of artificial intelligence, he explores evolutionary computing, neural networks, machine learning, deep learning, swarm intelligence, and intelligent agents. His work delves into metaheuristic methods, reinforcement learning, probabilistic reasoning under uncertainty, robotics, and pattern recognition. In communication networks, his interests include wireless communications, cellular networks, internet networks, ad-hoc networks, and emerging technologies such as 3G, 4G, and 5G. He is particularly focused on the Internet of Things (IoT), web services, network security, sensor networks, standards and protocols, quality of service (QoS), network routing, localization, and coverage. Additionally, Al-Mousawi investigates intelligent systems, including wireless sensor network systems, signal processing systems, robotics systems, detection systems, and distributed systems. His multidisciplinary approach aims to address complex challenges in modern computing and communication landscapes.​

Awards

Throughout his career, Al-Mousawi has been recognized for his contributions to network security and technological innovation. In 2018, he received a certificate from the International Telecommunication Union (ITU) for his work on network security and Quality of Service (QoS) in internet networks. The same year, he was granted a patent by the Central Organization of Standardization and Quality Control (COSQC) under Iraq’s Ministry of Planning for developing a novel magnetic explosives detection system based on smartphones. These accolades underscore his commitment to leveraging technology for enhancing security measures and improving communication networks.​

Publications

Al-Mousawi has contributed extensively to academic literature, with his work being published in reputable journals and conferences. His publications include:​

Al-Mousawi, A.J. (2021). “Wireless communication networks and swarm intelligence.” Wireless Networks.​

Al-Mousawi, A.J. (2020). “Magnetic Explosives Detection System (MEDS) based on wireless sensor network and machine learning.” Measurement: Journal of the International Measurement Confederation, 151.​

Hoomod, H.K., Al-Mousawi, A.J., & Naif, J.R. (2020). “New Complex Hybrid Security Algorithm (CHSA) for Network Applications.” In Ranganathan, G., Chen, J., & Rocha, Á. (Eds.), Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 89. Springer, Singapore.​

Al-Mousawi, A.J. (2019). “Evolutionary intelligence in wireless sensor network: routing, clustering, localization and coverage.” Wireless Networks, Springer.​

Hoomod, H.K., Al-Mousawi, A.J., & Naif, J.R. (2019). “Proposed hybrid security algorithm for wireless sensors network security.” Journal of Advanced Research in Dynamical and Control Systems, 11(2 Special Issue), 239–246.​

AL-Mousawi, A.J., & AL-Hassani, H.K. (2018). “A survey in wireless sensor network for explosives detection.” Computers and Electrical Engineering, 72, 682–701.​

Conclusion

Ali J. Al-Mousawi’s career exemplifies a harmonious blend of academic excellence, innovative research, and practical application. His contributions to artificial intelligence, network security, and wireless communication have not only advanced theoretical understanding but also led to practical solutions addressing real-world challenges. Through his teaching,

Muhammad Usman | Cloud Computing for Data Science | Best Researcher Award

Published on by AI Data Scientist

Mr. Muhammad Usman | Cloud Computing for Data Science | Best Researcher Award

PhD Scholar at Beihang University, China

Muhammad Usman is a dedicated researcher and academician specializing in computer science and information technology. He commenced his academic journey by earning a Bachelor of Science (Honors) in Information Technology from Bahauddin Zakariya University (BZU), Pakistan, in 2010, with a major in computer networks. Pursuing advanced studies, he completed a Master of Science in Information and Communication Engineering at Shanghai Jiao Tong University, China, in 2015, focusing his thesis on energy harvesting in multi-relay wireless networks. Currently, he is a Ph.D. scholar in Computer Science and Technology at Beihang University (BUAA), Beijing, China, where his research centers on data-driven intelligence in the Internet of Things (IoT). Throughout his career, Muhammad Usman has contributed significantly to academia through teaching, research, and various administrative roles, reflecting his commitment to advancing the fields of telecommunication and information technology.​

Profile

Orcid

Education

Muhammad Usman’s educational background is marked by a series of progressive academic achievements. He began with a Bachelor of Science (Honors) in Information Technology from Bahauddin Zakariya University, Pakistan, in 2010, where he majored in computer networks. Demonstrating a keen interest in telecommunications, he pursued a Master of Science in Information and Communication Engineering at Shanghai Jiao Tong University, China, from September 2012 to March 2015. His master’s thesis focused on energy harvesting in multi-relay-based wireless networks, under the guidance of Professors Bin Xia and Wang Xinbing. Currently, since September 2021, he is undertaking doctoral studies in Computer Science and Technology at Beihang University (BUAA), Beijing, China. His Ph.D. research, supervised by Professor Juhua Pu, concentrates on data-driven intelligence in IoT, reflecting his ongoing commitment to integrating advanced research with practical applications in telecommunication and IT.​

Experience

Muhammad Usman’s professional experience encompasses various academic and technical roles. From March 2018 to the present, he has been serving as a Lecturer in the Department of Information Technology at Bahauddin Zakariya University, Multan, Pakistan, where he also holds the position of Incharge Examination. Prior to this, he worked as a Data Processing Officer in the Drug Testing Department of the Primary & Secondary Healthcare, Government of Punjab, Pakistan, from August 2017 to March 2018. He also served as a Lecturer in the Department of Computer Science at the University of Gujrat, Pakistan, from May 2015 to March 2017. Earlier in his career, from September 2012 to March 2015, he was a Research Assistant in the Department of Computer Science at Shanghai Jiao Tong University, China. These roles have provided him with a diverse set of experiences in teaching, research, and data management within the fields of information technology and computer science.​

Muhammad Usman’s research interests are deeply rooted in contemporary advancements in information technology and telecommunications. His primary focus areas include wireless sensor networks, the Internet of Things (IoT), deep learning, and mobile communication. He is particularly interested in exploring data-driven intelligence within IoT ecosystems, aiming to enhance the efficiency and effectiveness of smart devices and networks. His master’s research on energy harvesting in multi-relay wireless networks reflects his commitment to developing sustainable and efficient communication systems. Currently, his doctoral research at Beihang University delves into data intelligence in wireless networks, further underscoring his dedication to advancing the integration of intelligent data processing in modern telecommunication infrastructures.​

Awards

Throughout his academic journey, Muhammad Usman has been recognized with several prestigious awards. In 2021, he received the Ph.D. Scholarship Award from Beihang University, China, acknowledging his potential in advanced research. The same year, he was honored with the Taiwan International Graduate Program (TIGP) Scholarship Award, reflecting his commitment to academic excellence. In 2016, he was granted a Research and Travel Grant Award from Chalmers University of Technology, Sweden, supporting his endeavors in international research collaborations. Additionally, he received a Scholarship Award from Universidade Estadual de Campinas, Brazil, in 2016, facilitating his global academic engagements. During his master’s studies in 2012, he was recognized as an Excellent International Student at Shanghai Jiao Tong University, China, highlighting his dedication and outstanding performance in his field.​

Publications

Muhammad Usman’s scholarly contributions include several notable publications:​

Relay Selection in Wireless Information and Power Transfer Multi-Relay Networks with Energy Causality (2015): This paper, presented at the International Symposium of Computer Application and Information Technology in Shenzhen, China, addresses strategies for relay selection in networks that simultaneously transfer information and power, considering energy causality constraints.​

Capacity Analysis of Spatially Correlated MIMO Channels with Transmit Hardware Imperfections (2015): Co-authored with Zeeshan Samad, this study, also presented at the same symposium, investigates the capacity of Multiple-Input Multiple-Output (MIMO) channels, taking into account spatial correlations and hardware imperfections in transmission.​

5G and D2D Network for Smart Cities Using Internet of Thing Services (2025): Published in the Lecture Notes in Electrical Engineering (vol. 1354) by Springer, this research explores the integration of 5G and Device-to-Device (D2D) communication networks to enhance IoT services in smart city environments.​

SEEVMC: A Secure, Energy-Efficient Virtual Machine Consolidation Approach for QoS in Cloud Data Centers (2025): Featured in the ETRI Journal, this paper proposes a novel approach to virtual machine consolidation in cloud data centers, aiming to improve security and energy efficiency while maintaining quality of service.​

Conclusion

Muhammad Usman’s academic and professional trajectory exemplifies a profound commitment to advancing the fields of computer science and information technology. His educational background, enriched by international experiences, has equipped him with a broad perspective on global technological challenges. His diverse professional roles reflect a balance between theoretical research and practical application, underscoring his versatility as both an educator and a researcher. His research interests in wireless sensor networks, IoT, deep learning, and mobile communication align with the evolving demands of the digital.