Mohd Khaled Shambour | Computer Science | Best Paper Award

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Prof. Mohd Khaled Shambour | Computer Science | Best Paper Awardย ย 

Professor atย Middle East University |ย Jordan

Prof. Mohd Khaled Shambour is an accomplished academic and researcher in the field of computer science, widely recognized for his contributions to intelligent systems and computational optimization. He holds advanced academic qualifications in computer science and intelligent system techniques and has gained extensive experience through senior academic and research roles within higher education and research institutions. His professional work reflects strong expertise in artificial intelligence, optimization techniques, metaheuristic algorithms, data science, scheduling, and timetabling, with a clear emphasis on solving complex real-world problems through innovative computational approaches. Prof. Mohd Khaled Shambour has produced a substantial body of high-impact scholarly work, authoring 40 research documents that have attracted 1,189 citations across 1,039 citing documents, resulting in an h-index of 16, underscoring both productivity and sustained research influence. His research is noted for methodological rigor, interdisciplinary relevance, and practical applicability, and he continues to contribute meaningfully to advancing knowledge, innovation, and academic excellence in computer science.

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Featured Publications

Kai Jin | Computer Science | Best Researcher Award

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Dr.ย Kai Jin | Computer Science | Best Researcher Award

Lecturer at Sanya Research Institute of Hunan University of Science and Technology |ย China

Dr. Kai Jin is an accomplished researcher and academic whose work bridges the fields of computer science, artificial intelligence, and information engineering. With a strong educational foundation culminating in a Ph.D. in Computer Science and Technology from Hunan University, he has built a research career characterized by innovation, interdisciplinary collaboration, and practical impact. His professional experience spans both academia and industry, having served as a lecturer and researcher at the Sanya Research Institute of Hunan University of Science and Technology, as well as a software engineer in technology firms where he developed expertise in system architecture and Java-based solutions. Dr. Kai Jinโ€™s scholarly contributions focus on network measurement, image recognition, and deep learning areas that are pivotal to advancing intelligent computing and data-driven technologies. He has authored six scientific papers published in high-impact journals and international conferences, including IEEE Transactions on Network Science and Engineering, Connection Science, and Scientific Reports. His work has earned 70 citations by 60 documents, with an h-index of 5, reflecting the growing influence of his research within the global academic community. In addition to publications, Dr. Kai Jin has secured four invention patents covering innovations in network traffic measurement, remote sensing image detection, brain tumor identification, and predictive maintenance for industrial IoT systems. His research projects, supported by national and provincial grants, such as the National Natural Science Foundation of China and the Hunan Provincial Key R&D Program, demonstrate a commitment to technological progress and societal benefit. Beyond his technical achievements, Dr. Kai Jinโ€™s leadership in research collaborations and mentorship reflects his dedication to fostering the next generation of computer scientists. His current research continues to explore the integration of deep learning models with real-world systems, optimizing intelligent network management, and enhancing computational efficiency. Through his scientific rigor, creativity, and contributions to both theoretical and applied computing, Dr. Kai Jin has established himself as a leading voice in modern computer science, shaping innovations that address the complex challenges of todayโ€™s interconnected digital world.

Profile: Scopus

Featured Publications:

1. Jin, K., Xie, K., Wang, X., Tian, J., Xie, G., & Wen, J. (2022). Low-cost online network traffic measurement with subspace-based matrix completion. IEEE Transactions on Network Science and Engineering, 10(1), 53โ€“67.

2. Jin, K., Xie, K., Tian, J., Liang, W., & Wen, J. (2023). Low-cost network traffic measurement and fast recovery via redundant row subspace-based matrix completion. Connection Science, 35(1), 2218069.

3. Jin, K., Banizaman, H., Gharehveran, S. S., & Jokar, M. R. (2025). Robust power management capabilities of integrated energy systems in the smart distribution network including linear and non-linear loads. Scientific Reports, 15(1), 6615.

4. Zhu, M., Rasheed, R. H., Albahadly, E. J. K., Zhang, J., Alqahtani, F., Tolba, A., & Jin, K.* (2025). Application of fixed and mobile battery energy storage flexibilities in robust operation of two-way active distribution network. Electric Power Systems Research, 244, 111556.

5. Wen, J., Chen, Y., & Jin, K.* (2023, June). Revolutionizing network performance: The active and passive service path performance monitoring analysis method. In 2023 IEEE 10th International Conference on Cyber Security and Cloud Computing (CSCloud) / 2023 IEEE 9th International Conference on Edge Computing and Scalable Cloud (EdgeCom) (pp. 1โ€“6). IEEE.

6. Huo, Y., Jin, K., Cai, J., Xiong, H., & Pang, J. (2023). Vision Transformer (ViT)-based applications in image classification. In Proceedings of the 9th IEEE International Conference on High Performance and Smart Computing (HPSC 2023) (pp. 135โ€“140). IEEE.

7. Jin, K., Xie, K., Tian, J., Liang, W., & Wen, J. (2024). A acylthiourea based ion-imprinted membrane for selective removal of Agโบ from aqueous solution. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2024, Article 9 citations.

Rashid Hussain | Fuzzy Mathematics | Best Researcher Award

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Mr. Rashid Hussain | Fuzzy Mathematics | Best Researcher Award

PhD Student at Karakoram International University, Pakistan.

Rashid Hussain is a dedicated mathematician and academic specializing in Fuzzy Mathematics ๐Ÿค–๐Ÿ“Š. He is currently pursuing a Ph.D. in Mathematics at COMSATS University Islamabad, Wah Campus ๐ŸŽ“. With a strong background in mathematical modeling and decision-making applications, he has contributed to various international journals ๐Ÿ“š. Rashid has been a visiting lecturer at multiple institutions, including Karakoram International University, Fatima Jinnah Degree College for Women, and Sarhad University of Science and Information Technology ๐Ÿซ. His research focuses on Pythagorean fuzzy sets, decision-making algorithms, and artificial intelligence applications ๐Ÿง ๐Ÿ”ข.

Professional Profile

Scopus Profile

Education ๐ŸŽ“

โœ… Ph.D. in Mathematics (Fuzzy Mathematics) โ€“ COMSATS University Islamabad (In Process)
โœ… MS/MPhil in Mathematics โ€“ Karakoram International University, Gilgit (2018-2020)
โœ… BS in Mathematics โ€“ Karakoram International University, Gilgit (2013-2017)
โœ… B.Ed (Science Education) โ€“ Allama Iqbal Open University, Islamabad (2021)
โœ… F.Sc (Pre-Engineering) โ€“ Public School and College, Jutial Gilgit (2011)
โœ… SSC (Science) โ€“ Public School and College, Jutial Gilgit (2009)

Work Experience ๐Ÿ‘จโ€๐Ÿซ

๐Ÿ“Œ Visiting Teaching Associate โ€“ Karakoram International University, Gilgit (March 2017 โ€“ Aug 2017)
๐Ÿ“Œ Visiting Lecturer โ€“ Karakoram International University, Gilgit (Oct 2020 โ€“ Present)
๐Ÿ“Œ Visiting Lecturer โ€“ Fatima Jinnah Degree College for Women (Oct 2022 โ€“ Feb 2023)
๐Ÿ“Œ Visiting Lecturer โ€“ Sarhad University of Science & IT, Peshawar (Oct 2021 โ€“ Present)

Professional Development ๐Ÿ“–

Rashid Hussain has actively engaged in various professional training and skill-building programs ๐ŸŽฏ. He has completed courses in Machine Learning, Practical English Skills, and a 14-day English Language Fluency Course to enhance his communication abilities ๐Ÿ“ข. His academic contributions extend beyond teaching, with multiple research publications in leading mathematical and decision-making journals ๐Ÿ“‘. He has also authored books on Linear Algebra, Circles, and Absolute Value Equations ๐Ÿ“š. Through continuous learning and research, he aims to develop innovative mathematical models for solving real-world problems in fuzzy logic and artificial intelligence ๐Ÿค–๐Ÿ”ข.

Research Focus ๐Ÿ”ฌ

Rashid Hussain’s research revolves around Fuzzy Mathematics and its Applications ๐Ÿงฎ. His primary focus is on Pythagorean fuzzy sets, similarity measures, multi-criteria decision-making, and artificial intelligence integration ๐Ÿค–๐Ÿ“Š. He has contributed significantly to pattern recognition, clustering algorithms, and optimization techniques used in engineering, medical diagnosis, and machine learning ๐Ÿฅ๐Ÿ“ก. His recent work includes novel distance and similarity measures for fuzzy set analysis, contributing to advancements in decision-making systems and computational intelligence ๐Ÿค“๐Ÿ’ก. His research is paving the way for efficient and intelligent mathematical models used in various industries worldwide ๐ŸŒ๐Ÿ“ˆ.

Awards & Honors ๐Ÿ†

๐Ÿ… Published extensively in high-impact journals ๐Ÿ“–
๐Ÿ… Significant contributions to Fuzzy Mathematics research ๐Ÿ”ข
๐Ÿ… Recognized for outstanding teaching and research contributions ๐Ÿ‘จโ€๐Ÿซ
๐Ÿ… Authored books on mathematical topics ๐Ÿ“š
๐Ÿ… Actively involved in international research collaborationsย ๐ŸŒŽ

Publication Top notes

Authors: R. Hussain, Z. Hussain, N.M. Sarhan, N. Juraev, S. Ur Rahman
Year: 2024

Fei Li | Next-generation informatic | Leading Research Award

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prof. Fei Li | Next-generation informatic | Leading Research Award

Research scientist Institute of Grassland Research, Chinese Academy of Agricultural Sciences China

Dr. Fei Li is a prominent research professor at the Institute of Grassland Research, Chinese Academy of Agricultural Sciences (CAAS). Specializing in the remote sensing of grassland ecology and big data, Dr. Li leverages satellite and UAV remote sensing along with AI algorithms to advance ecological research. With over 40 academic papers published in top-tier journals, Dr. Li’s contributions have significantly impacted the field of ecological and biological sciences.

 

Profile

Scopus

Education ๐ŸŽ“

Dr. Li earned his Ph.D. in Cartography and Geographic Information Systems from the University of Chinese Academy of Sciences in 2014. Prior to this, he completed his M.S. in Cartography and Geographic Information Systems and his B.S. in Geographic Information Systems from Northwest Normal University in 2009 and 2006, respectively.

Experience ๐Ÿ†

Dr. Li’s extensive experience includes his current role as a research professor at CAAS since 2020. He previously served as a research assistant at the University of Tennessee, Michigan State University, and the Chinese Academy of Sciences. His diverse experience in both academic and research institutions has equipped him with a robust understanding of ecological processes and remote sensing technologies.

Research Interests ๐Ÿ”ฌ

Dr. Li’s research interests lie in integrating ecological process models with remote sensing observations and machine learning approaches. He focuses on simulating global-regional carbon-water cycles and investigating their response mechanisms. Additionally, he is dedicated to utilizing big data from remote sensing for effective grassland resource monitoring and management.

Awards ๐Ÿ…

Dr. Li has been recognized with numerous awards and grants from prestigious organizations such as NSF, NASA, DOE, NSA, and ESA. His groundbreaking work in remote sensing and ecological modeling has earned him accolades and funding for various high-impact projects.

Publications Top Notes ๐Ÿ“š

Dr. Li has an impressive portfolio of publications, including:

Li, H., Li, F.*, Xiao, J., Chen, J., Lin, K., Bao, G., … & Wei, G. (2024). A machine learning scheme for estimating fine-resolution grassland aboveground biomass over China with Sentinel-1/2 satellite images. Remote Sensing of Environment, 311, 114317. Cited by 10 articles.

Read here

Li, F., Xiao, J., Chen, J., Ballantyne, A., Jin, K., Li, B., … & John, R. (2023). Global water use efficiency saturation due to increased vapor pressure deficit. Science, 381(6658), 672-677. Cited by 25 articles.

Read here

Yan, H., Li, F.*, & Liu, G. (2023). Diminishing influence of negative relationship between species richness and evenness on the modeling of grassland ฮฑ-diversity metrics. Frontiers in Ecology and Evolution, 11, 154. Cited by 15 articles.

Read here

Ouyang, Z., Sciusco, P., Jiao, T., Feron, S., Lei, C., Li, F., … & Chen, J. (2022). Albedo changes caused by future urbanization contribute to global warming. Nature Communications, 13(1), 3800. Cited by 30 articles.

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Brabazon, H., DeBruyn, J. M., Lenaghan, S. C., Li, F., Mundorff, A. Z., Steadman, D. W., & Stewart Jr, C. N. (2020). Plants to Remotely Detect Human Decomposition?. Trends in Plant Science, 25(10), 947-949. Cited by 20 articles.

Read here