Assist. Prof. Dr Binglong Zhu | Numerical Computation | Best Researcher Award

Assist. Prof. Dr Binglong Zhu | Numerical Computation | Best Researcher Award

 Engineer, China Academy of Railway Sciences Corporation Limited, China

I’m a researcher with a strong background in road and railway engineering, holding a doctorate from Beihang University. My expertise lies in soil constitutive models, creep characteristics, and deformation control technology. I’ve participated in several research projects, including those funded by the National Natural Science Foundation of China and the China Academy of Railway Sciences Corporation Limited.

Profile

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🎓 Education

– *Doctorate in Road and Railway Engineering*: Beihang University (2016-2022) 🎓– *Master’s in Mining Engineering*: China University of Mining and Technology (Beijing) (2013-2016) 🎓– *Bachelor’s in Mining Engineering*: Shandong University of Science and Technology (2009-2013) 🎓

👨‍🔬 Experience

– *Researcher*: Participated in various research projects, including NSFC projects and projects funded by the China Academy of Railway Sciences Corporation Limited 💼– *Research Focus*: Soil constitutive models, creep characteristics, and deformation control technology 🔍

Awards and Honors 🏆

– Patent Holder: Co-inventor of several patents related to soil constitutive models and railway engineering 🏆

🔍 Research Interest

– *Soil Constitutive Models*: Developing and calibrating models to predict soil behavior 🌎– *Creep Characteristics*: Studying the long-term deformation of soils and its implications for engineering projects 🕰️– *Deformation Control Technology*: Developing technologies to control and mitigate deformation in railway and road engineering projects

📚 Publications 

1. “Calibrating and validating a soil constitutive model through conventional triaxial tests: an in-depth study on CSUH model” 📝
2. “Application of a Dynamic Step Size Iterative Method for Parameter Inversion in the Unified Hardening Models” 🔍
3. “Description of the Differences in Basic Mechanical Properties of Different Types of Soil” 🌎
4. “Determining parameters of the CSUH constitutive model by genetic algorithm” 🤖
5. “A Rapid Parameter Calibration Method Based on a Hierarchical Loading Creep Model” ⏱️

Conclusion

The researcher demonstrates potential for the Best Researcher Award, with a strong research background, research experience, and publication record. By addressing areas for improvement, such as taking on leadership roles, engaging in international collaborations, and exploring interdisciplinary research, he can further solidify his position as a leading researcher in his field.

Prof. Dr. Jasenka Gajdoš Kljusurić | Data Science and Deep Learning | Best Researcher Award

Prof. Dr. Jasenka Gajdoš Kljusurić | Data Science and Deep Learning | Best Researcher Award

Prof, Faculty of Food Technology and Biotechnology at University of Zagreb, Croatia

Sylvain S. Guillou is a Full Professor of Fluid Mechanics at the University of Caen Normandy, France. He is the Director of the Applied Science Laboratory LUSAC and has over 176 publications, 38,900 reads, and 1,692 citations. His research focuses on computational physics, fluid dynamics, and geophysics, particularly in tidal turbines and marine renewable energies ¹.

Profile

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🎓 Education

– *HDR – Fluid Mechanics*, University of Caen (2004-2005)- Ph.D. in Applied Mathematics – Mechanics, University of Paris Pierre & Marie Curie (1993-1996)- (link unavailable) in Dynamics of Fluids – Numerical Modeling, Ecole Centrale de Nantes (1992-1993)

👨‍🔬 Experience

– *Full Professor*, University of Caen Normandy (2017-present)- *Associate Professor*, University of Caen Normandy (2005-2017)- *Assistant Professor*, University of Caen Normandy (1999-2005)- *Post-doctoral Researcher*, University of Caen (1996-1997)

🔍 Research Interest

– *Computational Physics*: Numerical simulations of complex fluid flows- *Fluid Dynamics*: Turbulence, sediment transport, and environmental fluid mechanics- *Geophysics*: Marine renewable energies, tidal turbines, and offshore wind energies

Awards and Honors 🏆

Although specific awards and honors are not detailed, Guillou’s editorial roles and conference organization demonstrate his recognition in the field ¹ ²: – *Associate Editor*, Energies, La Houille Blanche, and International Journal for Sediment Research- *Organizer*, International Conference on Estuaries and Coasts (ICEC-2018) and other conferences

📚 Publications 

– Numerical modeling of the effect of tidal stream turbines on the hydrodynamics and the sediment transport–Application to the Alderney Race (Raz Blanchard), France 🌊
– Modelling turbulence with an Actuator Disk representing a tidal turbine 🌟
– A two-phase numerical model for suspended-sediment transport in estuaries 🌴
– Wake field study of tidal turbines under realistic flow conditions 💨
– Tidal farm analysis using an analytical model for the flow velocity prediction in the wake of a tidal turbine with small diameter to depth ratio 🌊

Conclusion

Sylvain S. Guillou’s impressive research record, leadership roles, and editorial activities make him an excellent candidate for the Best Researcher Award. His contributions to computational physics, fluid dynamics, and geophysics have significantly advanced our understanding of these fields. With some potential for interdisciplinary collaborations and exploring emerging topics, Guillou is well-suited to receive this award ¹ ².

Manar Hamza | Computer Science Data mining | Best Researcher Award

Dr. Manar Hamza | Computer Science Data mining | Best Researcher Award

professor at  Prince Sattam bin Abd El Aziz University, China

👩‍🏫 Experienced Computer Science Lecturer since 2005 with expertise in data mining, text mining, and information security. 💻 Holds a strong track record in research and academia, leveraging innovation and teamwork. Aims to thrive in challenging, dynamic, and team-oriented environments that foster growth. 🌍 Based in Sudan and Saudi Arabia, dedicated to academic excellence and community impact.

Professional Profiles:

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Education 🎓

Ph.D. in Computer Science from Omdurman Islamic University, Sudan (2018–2021). 🎓 Master’s Degree in Computer Science from Sudan University of Science and Technology (2003–2005). 🎓 B.Sc. in Computer Science from Omdurman Islamic University, Sudan (1995–1999). 📚 Comprehensive training in research skills, academic advising, and IT tools like Mendeley, Latex, and iThenticate.

Experience 🖥️

Lecturer in Computer Science at Prince Sattam bin Abdul-Aziz University, Saudi Arabia (2013–present). 👩‍💼 Supervisor and Coordinator roles in quality, academic advising, and measurement (2014–2020). 🇸🇩 Lecturer at Omdurman Islamic University, Sudan (2005–2012). 👩‍🔬 E-teaching and training specialist with Arab Board experience (2023).

Awards and Honors 🏆

Certificates of Appreciation from PSAU for contributions to quality, development, and academic planning. 🙌 Recognized for voluntary services, including extracurricular activities and technical support for students and staff. ⭐ Esteemed arbitrator in scientific and innovation conferences. 📜 Active contributor to enhancing the learning environment with innovative solutions.

Research Focus 🔍

Data mining, text mining, and information security are core research areas. 📊 Interested in qualitative research, outcome-based education, and e-learning systems. 🌐 Advocates for advancing academic IT tools like Prezi, Mendeley, and iThenticate. 🛡️ Exploring cybersecurity methods and their application in education and industry.

✍️Publications Top Note :

1. Robust Tweets Classification Using Arithmetic Optimization with Deep Learning for Sustainable Urban Living

Published in: SN Computer Science, 2024, 5(5), 549

Summary: This paper proposes a novel classification model for urban-related tweets using arithmetic optimization integrated with deep learning to support sustainable urban living solutions.

2. Enhancing Traffic Flow Prediction in Intelligent Cyber-Physical Systems

Published in: IEEE Transactions on Consumer Electronics, 2024, 70(1), pp. 1889–1902

Summary: Introduces a Bi-LSTM approach enhanced with a Kalman filter for accurate traffic flow prediction, addressing challenges in intelligent cyber-physical systems.

Citations: 5

3. Deer Hunting Optimization with Deep Learning-Driven Automated Fabric Defect Detection and Classification

Published in: Mobile Networks and Applications, 2024, 29(1), pp. 176–186

Summary: Utilizes the Deer Hunting Optimization algorithm with deep learning to achieve high accuracy in detecting and classifying fabric defects.

Citations: 1

4. Automatic Recognition of Cyberbullying in the Web of Things and Social Media Using Deep Learning Framework

Published in: IEEE Transactions on Big Data, 2024

Summary: Develops a deep learning-based framework to detect and prevent cyberbullying within social media and IoT environments.

5. Artificial Rabbit Optimizer with Deep Learning for Fall Detection in IoT Environment

Published in: AIMS Mathematics, 2024, 9(6), pp. 15486–15504

Summary: Introduces the Artificial Rabbit Optimizer combined with deep learning to enhance fall detection systems for disabled individuals in IoT environments.

Citations: 1

6. Computational Linguistics-Based Arabic Poem Classification and Dictarization Model

Published in: Computer Systems Science and Engineering, 2024, 48(1), pp. 98–114

Summary: Proposes a computational linguistics model to classify Arabic poems and enhance their dictarization process.

7. Abstractive Arabic Text Summarization Using Hyperparameter Tuned Denoising Deep Neural Network

Published in: Intelligent Automation and Soft Computing, 2024, 38(2), pp. 153–168

Summary: Develops a deep neural network with hyperparameter tuning for effective abstractive summarization of Arabic texts.

Citations: 1

8. Chaotic Equilibrium Optimizer-Based Green Communication With Deep Learning Enabled Load Prediction in IoT Environment

Published in: IEEE Access, 2024, 12, pp. 258–267

Summary: Presents a Chaotic Equilibrium Optimizer combined with deep learning to improve green communication and load prediction in IoT systems.

Citations: 2

9. Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images

Published in: IEEE Access, 2024, 12, pp. 11147–11156

Summary: Leverages the River Formation Dynamics algorithm integrated with deep learning for efficient land use and land cover classification using remote sensing data.

Citations: 4

10. Prediction of Sleep Quality Using Wearable-Assisted Smart Health Monitoring Systems

Published in: Journal of King Saud University – Science, 2023, 35(9), 102927

Summary: Utilizes wearable technology and statistical data to predict sleep quality, providing insights into personalized smart health monitoring systems.

Citations: 1

Conclusion

The candidate’s extensive experience, academic qualifications, and contributions to computer science, particularly in data mining and information security, make them a strong contender for the Research for Best Researcher Award. With some strategic enhancements to highlight impactful research and global contributions, their profile could exemplify the qualities of an award-winning researcher in computer science.

Nicola D’souza | home dialysis and self-efficacy | Best Researcher Award

Ms.Nicola D’souza | home dialysis and self-efficacy | Best Researcher Award

Ms Nicola D’souza Edith Cowan University Australia

As a Level Two Registered Nurse, I focus on improving patient outcomes and care quality through clinical projects and research. My skills include developing protocols, conducting literature reviews, and analyzing data. Currently, at ForHealth Group, I manage chronic disease care and team coordination. Previously, I’ve worked in clinical research and dialysis settings, contributing to studies on respiratory health and caregiver experiences. My educational background includes a Master of Nursing by Research and a Bachelor of Nursing, complemented by various certifications and a robust track record of publications and presentations.

 

Professional Profiles:

🎓 Education

Master of Nursing (By Research)Edith Cowan University 02/2021 – 07/2023.Bachelor of Nursing,University of Calgary in Qatar 09/2012 – 06/2016.Achieved: Distinction; Cumulative GPA 3.82.

🔑 Key Skills

🩺 Competence in critical assessment, reviewing policies, and patient education.📈 Data analysis, documenting, and reporting events.🖥️ Proficiency with MS Office, Endnote, and JBI SUMARI.

📜 Licenses & Certifications

Registered Nurse Division 1, Nursing and Midwifery Board AHPRA (Credential ID Registration number: NMW0002606370).Good Clinical Practice (GCP) in Australia.Research Education and Training Program, WAHTN.Registered General Nurse, Qatar Council for Health Care Practitioners

🏆 Awards

Outstanding Research Project, 11th Annual Undergraduate Research Experience Program Competition, 2019.International Exchange Award of 20,000 QAT for clinical placement and study in Canada, Fall 2016.Dean’s List, University of Calgary in Qatar, 2013-2016.

 

✍️Publications :

D’Souza, N.A., Abu‐Qamar, M.Z. & Whitehead, L. (2024) Self‐efficacy and home dialysis: An integrative review. Journal of Renal Care, 1–18

Conclusion

With a strong foundation in both clinical practice and research, I bring a comprehensive approach to nursing that enhances patient care and supports healthcare teams. My experience spans chronic disease management, clinical trials, and research, demonstrating my commitment to advancing healthcare quality and patient outcomes.

Aljowhara Honain | Numerical Methods| Best Researcher Award

Ms Aljowhara Honain King Fahd University of Petroleum and Minerals Saudi Arabia

Aljowhara Hasan Honain is a dedicated mathematician currently pursuing a Ph.D. in Mathematics at King Fahd University of Petroleum and Minerals, Saudi Arabia. She holds an M.Sc. in Mathematics from Middle Tennessee State University and a B.Sc. from King Abdul-Aziz University. Her research focuses on advanced topics in fractional calculus, including rational approximations and exponential time differencing schemes for fractional oscillation models. Notable publications include work presented at the International Conference on Fractional Differentiation and Its Applications (ICFDA) and contributions to the journal Fractal and Fractional. She has actively participated in various teaching roles and conferences, presenting her work on fractional derivatives and oscillatory functions. Her achievements have been recognized with the Grünwald-Letnikov Award for Best Student Paper in March 2023.

 

Professional Profiles:

📚 EDUCATION

Ph.D. in Mathematics,King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia2020 – Present.M.Sc. in Mathematics,Middle Tennessee State University, Murfreesboro, TN, USA,2016.B.Sc. in Mathematics,King Abdul-Aziz University, Jeddah, Saudi Arabia.2009.

👩‍🏫 TEACHING ACTIVITIES

Recitation Instructor, King Fahd University of Petroleum and Minerals (KFUPM)June 2023 – August 2023. Teaching Assistant, KFUPM.January 2023 – May 2023.Math Lecturer, Motlow State Community College, Smyrna, TN, USAJanuary 2019 – December 2019.Math Teacher, ICM Academy, Murfreesboro, TN, USAJanuary 2018 – June 2019.Math and ESL Teacher, Read to Succeed Organization of Murfreesboro, TN, USA,2017 – 2018.

🎤 PRESENTATIONS

“Rational Approximation for Oscillatory Mittag-Leffler Function”,March 14-16, 2023, International Conference on Fractional Differentiation and Its Applications (ICFDA’23), Ajman, UAE.“Exponential Time Differencing Scheme for Fractional Plasma Oscillations”,July 09-12, 2024, International Conference on Fractional Differentiation and Its Applications (ICFDA’24), Bordeaux, France.“Numerical Approximations of Fractional Derivatives”,December 12, 2021, Female Research Day, KFUPM Institute for Knowledge Exchange.

🌐 WORKSHOPS AND CONFERENCES ATTENDED

International Conference on Fractional Differentiation and Its Applications (ICFDA’24),July 09-12, 2024, Bordeaux, France,WebAssign Webinar Series,July 11-13, 2023.International Conference on Fractional Differentiation and Its Applications (ICFDA’23).March 14-16, 2023, Ajman University, UAE. The 6th Annual MTSU Literacy Research Conference
2018, Murfreesboro, TN, USA. Reading Tutor Workshop Training, Read to Succeed Organization2017, Murfreesboro, TN, USA.

🏆 AWARDS

Grünwald-Letnikov Award: Best Student Paper (Theory).First Place for “Rational Approximation for Oscillatory Mittag-Leffler Function”,March 2023, ICFDA’23.

 

✍️Publications :

Rational Approximation for Oscillatory Mittag-Leffler Function
Authors: A.H. Honain, K.M. Furati
Year: 2023

Rational Approximations for the Oscillatory Two-Parameter Mittag–Leffler Function
Authors: A.H. Honain, K.M. Furati, I.O. Sarumi, A.Q.M. Khaliq
Year: 2024

Exponential Time Differencing Scheme for Fractional Plasma Oscillations
Authors: A.H. Honain, K.M. Furati
Year: 2024

Conclusion

Aljowhara Hasan Honain is a dedicated mathematician currently pursuing a Ph.D. in Mathematics at King Fahd University of Petroleum and Minerals, Saudi Arabia. She holds an M.Sc. in Mathematics from Middle Tennessee State University and a B.Sc. from King Abdul-Aziz University. Her research focuses on advanced topics in fractional calculus, including rational approximations and exponential time differencing schemes for fractional oscillation models. Notable publications include work presented at the International Conference on Fractional Differentiation and Its Applications (ICFDA) and contributions to the journal Fractal and Fractional. She has actively participated in various teaching roles and conferences, presenting her work on fractional derivatives and oscillatory functions. Her achievements have been recognized with the Grünwald-Letnikov Award for Best Student Paper in March 2023.