Jian-Hong Wang | Computer Technology | Best Researcher Award

Published on 23/09/2025 by Global CAD Awards

Prof. Jian-Hong Wang | Computer Technology | Best Researcher Award

Professor | Shandong University of Technology | China

Prof. Jian-Hong Wang is a professor in the Department of Computer Science and Technology at Shandong University of Technology, China, specializing in areas such as bandwidth guarantee of networks, online audio and video synchronization technology, wireless networks admission control, IoT control, efficient management for wireless multimedia devices, smart building, virtual reality human–robot interaction, and big data analytics. He earned his doctorate from National Chung Cheng University, Taiwan, and has since built an extensive academic career marked by research, teaching, and leadership. His professional experience includes serving as a faculty member at Shandong University of Technology, where he has actively contributed to advancing computer science and technology through both theoretical and applied research. His scholarly output includes numerous influential publications in high-impact journals and international conferences, covering topics such as fault-tolerant content management, disease-related SNP detection, brain network community analysis, real-time streaming systems, admission control policies, optical data hiding, and multimedia communication systems. Prof. Wang’s research interests lie in integrating computational intelligence with network systems, smart technologies, and human–robot interaction to address emerging challenges in wireless communications, data management, and digital applications. He has been recognized for his academic contributions through multiple publications, collaborations, and professional activities, establishing his reputation as a dedicated researcher and educator committed to fostering innovation and knowledge dissemination.

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Featured Publications

Wang, H.-Y., Wang, J.-H., Zhang, J., & Tai, H.-W. (2024). The collaborative interaction with Pokémon-Go robot uses augmented reality technology for increasing the intentions of patronizing hospitality. Information Systems Frontiers. Advance online publication.

Tran, N. C., Wang, J.-H., Vu, T. H., Tai, T.-C., & Wang, J.-C. (2023). Anti-aliasing convolution neural network of finger vein recognition for virtual reality (VR) human–robot equipment of metaverse. The Journal of Supercomputing, 79(2), 1690–1708.

Lo, C.-M., Wang, J.-H., & Wang, H.-W. (2022). Virtual reality human–robot interaction technology acceptance model for learning direct current and alternating current. The Journal of Supercomputing, 78(18), 20229–20249.

Xiao, L., Feng, J., Niu, X., Wang, J.-H., & Lv, J. (2022). Using competitive binary particle swarm optimization algorithm for matching sensor ontologies. Mobile Information Systems, 2022, Article 2207252.

Feng, J., Niu, X., Zhang, J., Wang, J.-H., & Lee, C.-Y. (2022). Gene selection and classification of scRNA-seq data combining information gain ratio and genetic algorithm with dynamic crossover. Wireless Communications and Mobile Computing, 2022, Article 9639304.

Lian, W., Fu, L., Niu, X., Feng, J., Wang, J.-H., & Xue, X. (2022). Solving sensor ontology metamatching problem with compact flower pollination algorithm. Wireless Communications and Mobile Computing, 2022, Article 9662517.

Hantao Xiong | High-Performance Computing| Best Researcher Award

Published on 25/07/202502/08/2025 by Global CAD Awards

Dr. Hantao Xiong | High-Performance Computing | Best Researcher Award

Ph.D. Researcher at Hunan University | China

Dr. Hantao Xiong is an emerging researcher specializing in high-performance computing (HPC) with a focus on sparse linear systems, parallel algorithms, and numerical methods. He is currently pursuing a Ph.D. in Computer Science and Technology at Hunan University, with joint research training at the Barcelona Supercomputing Center under the supervision of renowned experts Prof. Wangdong Yang, Prof. Kenli Li, and Researcher Marc Casas. Dr. Xiong combines strong theoretical foundations with extensive hands-on experience in algorithm-hardware co-design, machine learning for scientific computing, and large-scale HPC applications. He has demonstrated leadership in high-impact research projects, industry collaboration, and technical innovation.

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Education Details

The individual is currently pursuing a Ph.D. in Computer Science and Technology at Hunan University, China, under the supervision of Prof. Wangdong Yang and Prof. Kenli Li. As part of an international collaboration, they are also engaged in a joint Ph.D. program at the Department of Computer Science, Barcelona Supercomputing Center, Spain, under the guidance of researcher Marc Casas. They hold a Master’s degree in Computer Science and Technology from Hunan University, where they conducted research under Prof. Kenli Li. Their academic journey began with a Bachelor’s degree in Information Engineering from Hunan Agricultural University, China.

Professional Experience

The individual is currently serving as a joint Ph.D. researcher at the Barcelona Supercomputing Center in Spain, where they focus on designing efficient FSAI preconditioners tailored for SIMD architectures. Their work includes developing innovative sparsity pattern extension strategies and optimizing performance on Intel AVX-512 and RISC-V platforms. At Hunan University, they played

Research Interests

My research interests lie in high-performance computing (HPC) and the development of exascale systems, with a particular focus on solving sparse linear systems using advanced preconditioners. I work extensively on the design and optimization of parallel algorithms tailored for SIMD architectures, emphasizing algorithm-hardware co-design to achieve optimal performance. I am also exploring the integration of machine learning techniques into numerical methods to enhance their adaptability and efficiency. Additionally, I contribute to the creation and analysis of large-scale benchmark datasets to support innovation in scientific computing.

Awards and Honors

Recipient of the prestigious Huawei Spark Award, recognized for outstanding contributions to innovative research. Achieved Third Prize in the Solver Challenge and earned Second Prize in Category C of the National College English Competition, demonstrating both technical and communication excellence. Honored as Best Newcomer in the JD Business Growth Division and consistently delivered top-tier performance, receiving the highest performance rating (A) for two consecutive cycles at JD.com.

Publication Top Notes

A Multimodal Machine Learning Method for the Auto-selection of Iterative Solvers and Preconditioners.

A Large-scale Benchmark Dataset for the Auto-selection of the Optimal Combination of Iterative Solvers and Preconditioners.

Generating Sparsity Patterns for Inverse Preconditioning on SIMD Architectures.

A Multi-block Grids Load Balancing Algorithm with Improved Block Partitioning Strateg

Conclusion

Dr. Hantao Xiong demonstrates outstanding potential as an innovative and impactful researcher in high-performance computing and scientific computing methods. His robust academic training, successful industry collaboration, notable technical contributions, and recognition through competitive awards reflect his dedication, originality, and drive for research excellence. He is well-positioned to continue advancing the field with high-quality research, practical solutions, and leadership in both academia and industry.

Henda Mahmoudi | Intelligent control systems | Best Researcher Award

Published on 24/10/202424/10/2024 by Global CAD Awards

Dr. Henda Mahmoudi | Intelligent control systems| Best Researcher Award

Dr. Henda Mahmoudi, ICBA, United Arab Emirates.

Dr. Henda Mahmoudi is a distinguished researcher at the International Center for Biosaline Agriculture (ICBA) in the United Arab Emirates. With a focus on plant physiology and stress tolerance, she has contributed significantly to the understanding of how various environmental factors, including salinity and nutrient deficiencies, affect crop performance. Dr. Mahmoudi‘s work emphasizes sustainable agricultural practices and the development of resilient plant varieties, particularly in arid and saline conditions. Her research has implications for improving food security and agricultural sustainability in challenging environments.

Summary:

Dr. Henda Mahmoudi’s contributions to plant physiology and sustainable agriculture make her an exemplary candidate for the Research for Best Researcher Award. Her extensive research on the physiological responses of crops to environmental stresses has significant implications for improving food security in arid regions.

Professional Profiles:

Google Scholar

🎓 Education :

Dr. Mahmoudi earned her Ph.D. in Plant Biology from the Faculty of Sciences of Tunis and the National Institute of Scientific and Technique Research, Tunisia, focusing on the adaptation mechanisms of legumes to iron deficiency. She holds a Master Diploma in Plant Physiology and a Master’s degree in Natural Science from Tunis.

🏢 Experience:

Since 2009, she has held various positions at the International Center for Biosaline Agriculture in Dubai, UAE, progressing from visiting scientist to plant physiologist. Her earlier research roles included significant contributions to the understanding of biochemical mechanisms in legumes under abiotic stress conditions.

🛠️Skills:

Henda Mahmoudi, Ph.D., is a highly skilled plant physiologist with extensive experience in plant eco-physiology, biotechnology, water conservation, soil improvement, and salinity management. Her laboratory expertise includes soil, water, and plant analysis, leaf gas exchange measurement, and advanced biochemical techniques such as western blot analysis and enzymatic activity assessment.

Research Focus :

His research focuses on optimal design and performance analysis of control systems, particularly the application of fractional order control techniques in unstable processes. He aims to enhance stability and performance in engineering systems through innovative controller design.

Awards:

Her research has received funding from prestigious organizations, allowing her to spearhead significant projects aimed at enhancing agricultural sustainability in arid regions. Dr. Mahmoudi is recognized for her contributions to advancing agricultural practices, particularly through her work in developing user-friendly applications for smallholder farmers.

Conclusion:

Given her outstanding achievements, commitment to sustainability, and potential for further impact, Dr. Mahmoudi is highly deserving of the Research for Best Researcher Award. Her ongoing work promises to advance agricultural resilience and food security, addressing some of the most pressing challenges in modern agriculture. Recognizing her efforts through this award would not only honor her contributions but also inspire continued innovation in the field.

Publications :

Yousfi, S., Mahmoudi, H., Abdelly, C., & Gharsalli, M. (2007). Effect of salt on physiological responses of barley to iron deficiency. Plant Physiology and Biochemistry, 45(5), 309-314.
Mbarki, S., Labidi, N., Mahmoudi, H., Jedidi, N., & Abdelly, C. (2008). Contrasting effects of municipal compost on alfalfa growth in clay and in sandy soils: N, P, K, content and heavy metal toxicity. Bioresource Technology, 99(15), 6745-6750.
Ksouri, R., Debez, A., Mahmoudi, H., Ouerghi, Z., Gharsalli, M., & Lachaâl, M. (2007). Genotypic variability within Tunisian grapevine varieties (Vitis vinifera L.) facing bicarbonate-induced iron deficiency. Plant Physiology and Biochemistry, 45(5), 315-322.
Mahmoudi, H., Ksouri, R., Gharsalli, M., & Lachaâl, M. (2005). Differences in responses to iron deficiency between two legumes: lentil (Lens culinaris) and chickpea (Cicer arietinum). Journal of Plant Physiology, 162(11), 1237-1245.
Mahmoudi, H., Labidi, N., Ksouri, R., Gharsalli, M., & Abdelly, C. (2007). Differential tolerance to iron deficiency of chickpea varieties and Fe resupply effects. Comptes Rendus Biologies, 330(3), 237-246.
Ali, S., Tyagi, A., Park, S., Mir, R. A., Mushtaq, M., Bhat, B., Mahmoudi, H., & Bae, H. (2022). Deciphering the plant microbiome to improve drought tolerance: mechanisms and perspectives. Environmental and Experimental Botany, 201, 104933.
Ali, S., Mir, R. A., Tyagi, A., Manzar, N., Kashyap, A. S., Mushtaq, M., Raina, A., & others. (2023). Chromium toxicity in plants: signaling, mitigation, and future perspectives. Plants, 12(7), 1502.
Tyagi, A., Ali, S., Ramakrishna, G., Singh, A., Park, S., Mahmoudi, H., & Bae, H. (2023). Revisiting the role of polyamines in plant growth and abiotic stress resilience: mechanisms, crosstalk, and future perspectives. Journal of Plant Growth Regulation, 42(8), 5074-5098.
Labidi, N., Mahmoudi, H., Dorsaf, M., Slama, I., & Abdelly, C. (2009). Assessment of intervarietal differences in drought tolerance in chickpea using both nodule and plant traits as indicators. Journal of Plant Breeding and Crop Science, 1(4), 80-86.
Nefissi Ouertani, R., Abid, G., Karmous, C., Ben Chikha, M., Boudaya, O., & others. (2021). Evaluating the contribution of osmotic and oxidative stress components on barley growth under salt stress. AoB Plants, 13(4), plab034.
Nefissi Ouertani, R., Arasappan, D., Abid, G., Ben Chikha, M., Jardak, R., & others. (2021). Transcriptomic analysis of salt-stress-responsive genes in barley roots and leaves. International Journal of Molecular Sciences, 22(15), 8155.
Shahid, S. A., Abdelfattah, M. A., Omar, S. A. S., Harahsheh, H., Othman, Y., & others. (2010). Mapping and monitoring of soil salinization remote sensing, GIS, modeling, electromagnetic induction and conventional methods–Case studies. Proceedings of the International Conference on Soils and Groundwater.
Hidri, R., Mahmoud, O. M. B., Zorrig, W., Mahmoudi, H., Smaoui, A., Abdelly, C. (2022). Plant growth-promoting rhizobacteria alleviate high salinity impact on the halophyte Suaeda fruticosa by modulating antioxidant defense and soil biological properties. Frontiers in Plant Science, 13, 821475.
Tabatabaei, I., Alseekh, M., Shahid, M., Leniak, E., Wagner, M., Mahmoudi, H., & others. (2022). The diversity of quinoa morphological traits and seed metabolic composition. Scientific Data, 9(1), 323.
Shahid, S. A., Mahmoudi, H. (2014). National strategy to improve plant and animal production in the United Arab Emirates. In Soil and Water Resources (Annexes, 113-131).

Erdal Cokmez | Computer technology | Best Researcher Award

Published on 24/10/202424/10/2024 by Global CAD Awards

Dr. Erdal Cokmez | Computer technology | Best Researcher Award

Dr. Erdal Cokmez, Dicle University, Turkey.

Dr. Erdal Cokmez is a faculty member at Dicle University in Turkey, where he focuses on [specific field or area of expertise]. With extensive experience in research interests, he has contributed significantly to his awards. Dr. Cokmez is dedicated to advancing education and research, fostering innovation, and inspiring students in his field.

Summary:

Dr. Cokmez‘s work exemplifies a blend of rigorous research and a passion for education. His contributions to the field of electrical engineering, particularly in control systems, position him as a leader in technological advancements. His ability to inspire students and colleagues alike underscores his influence in the academic community.

Professional Profiles:

Google Scholar

🎓 Education :

Dr. Cokmez earned his Ph.D. in Electrical-Electronic Engineering from Dicle University in 2024, with a focus on controller design and performance analysis. He completed his Master’s degree at the same institution in 2018, where he researched fractional order PI controller design methods. His Bachelor’s degree was obtained from Akdeniz University in 2013.

🏢 Experience:

As a Research Assistant in the Department of Electrical-Electronic Engineering at Dicle University since 2015, Dr. Cokmez has contributed to various research projects and academic publications. He is currently the Co-head of the Department, overseeing departmental activities and initiatives.

🛠️Skills:

Dr. Erdal Cokmez possesses expertise in control systems design, particularly in integer and fractional order controllers. He is skilled in performance analysis and optimization for various engineering applications, utilizing advanced analytical and computational methods.

Research Focus :

Awards:

Dr. Cokmez has received recognition for his contributions to engineering research, including publications in prestigious international journals and presentations at significant conferences, showcasing his commitment to advancing the field.

Conclusion:

Given his remarkable research contributions, commitment to education, and potential for further interdisciplinary engagement, Dr. Erdal Cokmez is a highly suitable candidate for the Best Researcher Award. His achievements not only advance the field of computer technology but also inspire future generations of engineers and researchers.

Publications :

E. Cokmez, S. Atiç, F. Peker, I. Kaya, “Fractional-order PI controller design for integrating processes based on gain and phase margin specifications,” IFAC-PapersOnLine, 51 (4), 751-756, 2018.

S. Atiç, E. Cokmez, F. Peker, I. Kaya, “PID controller design for controlling integrating processes with dead time using generalized stability boundary locus,” IFAC-PapersOnLine, 51 (4), 924-929, 2018.

E. Çökmez, I. Kaya, “An analytical solution of fractional order PI controller design for stable/unstable/integrating processes with time delay,” Turkish Journal of Electrical Engineering and Computer Sciences, 31 (3), 626-645, 2023.

F. Peker, I. Kaya, E. Cokmez, S. Atiç, “Cascade control approach for a cart inverted pendulum system using controller synthesis method,” 26th Mediterranean Conference on Control and Automation (MED), 1-6, 2018.

E. Cokmez, I. Kaya, “Optimal design of I-PD controller for disturbance rejection of time delayed unstable and integrating-unstable processes,” International Journal of Systems Science, 55 (8), 1610-1638, 2024.

I. Kaya, E. Cokmez, “Integral-proportional derivative controller tuning rules obtained from optimum responses for set-point tracking of unstable processes with time delay,” Transactions of the Institute of Measurement and Control, 45 (7), 1351-1366, 2023.

E. Cokmez, I. Kaya, “Stability boundary locus for unstable processes with time delay under fractional-order PI controllers,” 6th International Conference on Control Engineering & Information Technology, 2018.

E. Cokmez, I. Kaya, “Fractional order PI-PD controller design for time delayed processes,” Computers and Electrical Engineering, 120, 109776, 2024.

İ. Kaya, E. Çökmez, “Kesir dereceli PI denetleyici ile kesir dereceli kararsız zaman gecikmeli sistemler için kararlılık bölgelerinin elde edilmesi,” Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 9 (2), 625-636, 2018.

E. Cokmez, I. Kaya, “On Fractional Order PI Controller: An Analysis On Integer Order Systems with Integral Performance Criteria,” International Conference on Engineering Technologies, 344-349, 2017.