Henda Mahmoudi | Intelligent control systems | Best Researcher Award

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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

 

šŸŽ“ 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 Masterā€™s degree in Natural Science from Tunis.

šŸ¢Ā 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.

šŸ› ļø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 :

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  • 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., & LachaĆ¢l, 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., & LachaĆ¢l, 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 methodsā€“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).

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Erdal Cokmez | Computer technology | Best Researcher Award

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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,Ā  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

 

šŸŽ“ 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 Masterā€™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.

šŸ¢Ā 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.

šŸ› ļø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 :

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:

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.

Ā 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 :

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  • E. Cokmez, S. AtiƧ, 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. AtiƧ, 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. Ƈƶkmez, 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. AtiƧ, “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.

 

  • Ä°. Kaya, E. Ƈƶkmez, “Kesir dereceli PI denetleyici ile kesir dereceli kararsız zaman gecikmeli sistemler iƧin kararlılık bƶlgelerinin elde edilmesi,” Dicle Ɯniversitesi MĆ¼hendislik FakĆ¼ltesi MĆ¼hendislik 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.

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Amal Al-Rasheed| Computer | Best Researcher Award

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Dr . Amal Al-Rasheed| Computer | Best Researcher Award

Dr. Amal Al-Rasheed,Princess Nourah bint Abdulrahman University, Saudi Arabia

Dr. Amal Al-Rasheed is a distinguished academic at Princess Nourah bint Abdulrahman University in Saudi Arabia. With a profound expertise in [specific field or research area, if known], Dr. Al-Rasheed has made significant contributions to [mention any notable research, publications, or achievements]. Her commitment to advancing knowledge and fostering academic excellence is evident through her extensive research and teaching endeavors. Dr. Al-Rasheed is dedicated to promoting [relevant academic or professional focus], and her work continues to inspire and impact the academic community.

Summary:

Dr. Amal Abdulaziz Al-Rasheed is a highly accomplished academic with a strong track record in teaching, research, and leadership. Her extensive experience in academia, coupled with her recognized research excellence and significant contributions to the academic community, make her a strong candidate for the Best Researcher Award. Her professional engagements and service activities further illustrate her dedication to her field and institution.

Professional Profiles:

šŸŽ“ Education :

Dr. Amal Abdulaziz Al-Rasheed earned her PhD in Information Systems from King Saud University in 2017. This academic achievement marked the culmination of her deep engagement with the field, laying a strong foundation for her subsequent career in academia and research.

šŸ¢Ā Experience:

Dr. Al-Rasheed has amassed extensive experience at Princess Nourah bint Abdulrahman University, where she currently serves as an Associate Professor. Her academic career began as a Teaching Assistant in 1998, followed by roles as a Lecturer from 2007 to 2017, and then as an Assistant Professor from 2017 to 2022. Beyond her academic roles, Dr. Al-Rasheed has also held significant leadership positions, including Director of the Master Program in Data Analytics (2018-2019) and Vice Dean of Postgraduate Studies and Scientific Research (2017-2018). Her non-academic contributions include technical support roles earlier in her career, adding a practical dimension to her professional profile.

šŸ› ļøSkills:

Dr. Al-Rasheed possesses a broad skill set encompassing both academic and administrative competencies. Her expertise in information systems is complemented by her leadership in higher education, where she has led committees and advised deans on strategic initiatives. Her skills are further enriched by her involvement in quality assurance, accreditation, human resources, and curriculum development, particularly in the fields of cybersecurity and data analytics.

šŸ”¬Awards:

Dr. Al-Rasheed’s contributions to academia have been recognized through several honors, most notably the Princess Nourah Bint Abdul Rahman University Award for Research Excellence in 2017. This award underscores her commitment to advancing research in her field and her role in shaping the academic landscape at her institution.

Research Focus:

Dr. Al-Rasheed’s research interests lie at the intersection of information systems, machine learning, and healthcare technology. Her work is characterized by a focus on practical applications, such as enhancing software defect prediction, optimizing data services, and developing models for emotion recognition. Her recent publications reflect a strong emphasis on cutting-edge techniques like deep learning, transfer learning, and game theory, applied to diverse challenges including cancer detection, fetal organ classification, and IoT-edge task scheduling.

Conclusion:

Dr. Al-Rasheed is a suitable candidate for the Best Researcher Award, given her comprehensive academic background, leadership roles, and research achievements. While her international exposure and interdisciplinary work could be areas to develop further, her existing contributions are substantial and impactful. Her candidacy stands out due to her dedication to both research and academic service, positioning her as a deserving nominee for this prestigious recognition.

Publications :

  • Hybridization of metaheuristic algorithm for dynamic cluster-based routing protocol in wireless sensor Networks
    • Authors: S Al-Otaibi, A Al-Rasheed, RF Mansour, E Yang, GP Joshi, W Cho
    • Source: IEEE Access
    • Year: 2021
    • Citation Count: 79

 

  • Hybrid classifier-based federated learning in health service providers for cardiovascular disease prediction
    • Authors: MM Yaqoob, M Nazir, MA Khan, S Qureshi, A Al-Rasheed
    • Source: Applied Sciences
    • Year: 2023
    • Citation Count: 36

 

  • Smart traffic monitoring through pyramid pooling vehicle detection and filter-based tracking on aerial images
    • Authors: AA Rafique, A Al-Rasheed, A Ksibi, M Ayadi, A Jalal, K Alnowaiser, et al.
    • Source: IEEE Access
    • Year: 2023
    • Citation Count: 30

 

  • An Optimal Big Data Analytics with Concept Drift Detection on High-Dimensional Streaming Data
    • Authors: RF Mansour, S Al-Otaibi, A Al-Rasheed, H Aljuaid, IV Pustokhina, et al.
    • Source: Computers, Materials & Continua
    • Year: 2021
    • Citation Count: 27

 

  • Predicting Saudi stock market index by incorporating GDELT using multivariate time series modelling
    • Authors: R Alamro, A McCarren, A Al-Rasheed
    • Source: Advances in Data Science, Cyber Security and IT Applications: First
    • Year: 2019
    • Citation Count: 24

 

  • Reliable resource allocation and management for IoT transportation using fog computing
    • Authors: HU Atiq, Z Ahmad, SK Uz Zaman, MA Khan, AA Shaikh, A Al-Rasheed
    • Source: Electronics
    • Year: 2023
    • Citation Count: 22

 

  • The Challenges Faced by Undergraduate Women during the COVIDā€19 Pandemic in Saudi Arabia
    • Authors: A Al-Rasheed
    • Source: Education Research International
    • Year: 2021
    • Citation Count: 22

 

  • Effective reuse and sharing of best teaching practices
    • Authors: A Alā€Rasheed, J Berri
    • Source: Computer Applications in Engineering Education
    • Year: 2017
    • Citation Count: 19

 

  • SEMRAchain: A secure electronic medical record based on blockchain technology
    • Authors: H Mhamdi, M Ayadi, A Ksibi, A Al-Rasheed, BO Soufiene, S Hedi
    • Source: Electronics
    • Year: 2022
    • Citation Count: 17

 

  • Identification of important features and data mining classification techniques in predicting employee absenteeism at work
    • Authors: A Al-Rasheed
    • Source: International Journal of Electrical & Computer Engineering (2088-8708)
    • Year: 2021
    • Citation Count: 17

 

  • Knowledge management of best practices in a collaborative environment
    • Authors: A Al-Rasheed, J Berri
    • Source: International Journal of Advanced Computer Science and Applications
    • Year: 2016
    • Citation Count: 16