Prof. Dr. Karim El Moutaouakil | Control optimal | Best Researcher Award

Prof. Dr. Karim El Moutaouakil | Control optimal | Best Researcher Award

Professor,  Sidi Mohamed Ben Abdellah University, Morocco.

Mouhamed Ettaouil is a highly skilled individual with a strong background in computer science and operations research. He has obtained multiple advanced degrees, including PhDs from Ibn Tofail University and the Faculty of Sciences and Techniques of Fez. His expertise lies in artificial intelligence, data analytics, and statistical learning, with a focus on designing decision-making systems in computer vision, logistics, and economics.

Professional Profile

scopus

Education 🎓

*PhD in Statistical Learning*, Ibn Tofail University, Morocco (2017)*PhD in Computer Science and Operations Research*, Faculty of Sciences and Techniques of Fez, Morocco (2011)*Master in Applied Mathematics*, Faculty of Science and Technology of Fez (1998-1999)*Artificial Intelligence Analyst/Business Analytics*, University of Colorado Boulder, USA (2020)*Artificial Intelligence Analyst*, Skills Academy, IBM, USA (2020)

Experience 💼

*PhD in Statistical Learning*, Ibn Tofail University, Morocco (2017)*PhD in Computer Science and Operations Research*, Faculty of Sciences and Techniques of Fez, Morocco (2011)*Master in Applied Mathematics*, Faculty of Science and Technology of Fez (1998-1999)*Artificial Intelligence Analyst/Business Analytics*, University of Colorado Boulder, USA (2020)*Artificial Intelligence Analyst*, Skills Academy, IBM, USA (2020)

 

Research Focus 🔍

*PhD in Statistical Learning*, Ibn Tofail University, Morocco (2017)*PhD in Computer Science and Operations Research*, Faculty of Sciences and Techniques of Fez, Morocco (2011)*Master in Applied Mathematics*, Faculty of Science and Technology of Fez (1998-1999)*Artificial Intelligence Analyst/Business Analytics*, University of Colorado Boulder, USA (2020)*Artificial Intelligence Analyst*, Skills Academy, IBM, USA (2020)

Awards and Honors 🏆

– Mastery Award Badge, Skills Academy, IBM, USA (2020)

Publication Top Notes

– The Continuous Hopfield Networks (CHN) for the placement of the Electronic Circuit Problem 💻
– The Placement of Electronic Circuits Problem: A Neural Network Approach 🤖
– Improved Optimal Competitive Hopfield Network for the Maximum Stable Set Problem 📊
– Image Medical Compression by A new Architecture Optimisation Model for the Kohonen Networks 🏥
– A new architecture optimization model for the Kohonen networks clustering 📈
– A new algorithm to reduce the size of the continuous Hopfield network 💻
– Learning Algorithm of Kohonen Network With Selection Phase 📚
– A New Algorithm for Optimization of the Kohonen Network Architectures Using the Continuous Hopfield Networks

 

Conclusion

 

The candidate’s strong educational background, diverse research experience, and published papers make them a compelling candidate for the Best Researcher Award. By highlighting collaboration, impact, and research continuity, the candidate could further strengthen their application and demonstrate their potential for continued excellence in research.

Yeseom Jin | Motion Sickness | Best Researcher Award

Ms. Yeseom Jin | Motion Sickness | Best Researcher Award

Master, Konkuk University, South Korea

Yeseom Jin is a dedicated researcher at the VR Lab, Konkuk University, with a Master’s degree in Smart ICT Convergence. Her research focuses on motion sickness mitigation in immersive virtual environments through motion platforms and vestibular stimulation. By integrating realistic motion simulation with adaptive display systems, she has significantly contributed to improving user experiences in VR applications. With active participation in IEEE and domestic conferences, she exemplifies innovation at the intersection of human-computer interaction and immersive technology. 🌐🎓

Professional Profile

Scholar

Education 🎓

Yeseom Jin earned her M.S. degree in Smart ICT Convergence from Konkuk University. Her academic journey centered around virtual reality technologies and their impact on human perception, specifically motion sickness. She built her expertise through hands-on experimental research, design of motion environments, and system analysis, laying a strong foundation for future innovations in user-centered VR systems. 🖥️📘

Experience 💼

Yeseom has worked on six research projects, collaborated with LG Electronics, and taught in various academic settings. Her experience ranges from designing VR systems to evaluating their impact on user well-being. Notably, she developed personalized vestibular stimulation models that improve user comfort and reduce simulator sickness—demonstrating both technical proficiency and a human-centered design philosophy. 🤝🔬

Research Focus 🔍

Her primary research interests include Virtual Reality, Motion Sickness, and Vestibular Stimulation. She explores how user-specific responses influence the effectiveness of immersive technologies. Her work emphasizes adaptive environments, real-time system feedback, and user comfort—contributing to the fields of HCI, simulation, and vehicular media experience optimization. 🧠🚗🎮

Awards and Honors 🏆

Yeseom Jin has been nominated for the Best Researcher Award in recognition of her impactful contributions to VR-based motion sickness mitigation and her interdisciplinary collaboration with industry giants like LG Electronics. Her continued focus on innovative and applicable research highlights her as a promising talent in immersive tech research. 🏅🔍

Publication Top Notes

🔗 A Study on the Motion Sickness Reduction Technology in Vehicle Media EnvironmentIEEE BigComp 2024
Cited by 1 article, explores motion sickness in vehicular VR environments.
📖 2024, IEEE Big Data and Smart Computing

🔗 Modulation of In-Vehicle Display Parameters to Reduce Motion SicknessElectronics
Proposes adaptive display systems in vehicles to enhance user comfort.
📖 2025, Electronics Journal, Vol. 14, Issue 11

🔗 Exploring User-Specific Variations in Vestibular Stimulation to Reduce Motion Sickness in Virtual RealityIEEE VRW 2025
Focuses on personalized stimulation based on user characteristics.
📖 2025, IEEE VR and 3D User Interfaces Workshop

🔗 Classification of the Metaverse Based on Spatial Cognition Type and Real-Time Interaction
Analyzes user interaction dynamics in metaverse applications.
📖 2024, Korean Computer Science Society Conference

🔗 Lie Detection of Statements Using Voice and Image Data in Video
Investigates multimodal analysis in detecting deception.
📖 2021, Korea Information Processing Society Conference

 

Conclusion

Yeseom Jin is a strong early-career candidate for the Best Researcher Award, particularly in applied immersive technologies. Her work addresses important human-centered challenges in VR and vehicular interface design, with contributions that have the potential for high societal impact. With further academic visibility and ongoing interdisciplinary collaboration, she is well-positioned to grow into a leading researcher in the field. Awarding her would recognize not only current excellence but also promising potential. 🏆✨

Abhishek Mishra | Biomedical Sciences | Best Researcher Award

Dr. Abhishek Mishra | Biomedical Sciences | Best Researcher Award

Post Doctoral Fellow.University of Arkansas for Medical Sciences (UAMS) , United States

Dr. Abhishek Mishra is a molecular biologist specializing in bioinformatics, statistical analysis, and cutting-edge research. With a strong academic background and extensive research experience, he has made significant contributions to biomedical research, particularly in oncology and renal biology. His work has been recognized through various awards and honors, and he continues to drive innovative research and collaboration.

Profile

scholar

Education 🎓

Dr. Abhishek Mishra holds a Ph.D. in Molecular Biology from King George’s Medical University, Lucknow, India. He also earned a Master’s degree in Biotechnology from DDU Gorakhpur University, Gorakhpur, India, and a Bachelor’s degree in Life Sciences from the same university. His educational background has provided a strong foundation in molecular biology, genetics, and bioinformatics.

Experience 💼

Dr. Abhishek Mishra has accumulated extensive research experience through various positions. He is currently a Post-Doctoral Fellow at the University of Arkansas for Medical Sciences. Previously, he worked as a Research Officer at King George’s Medical University and held various research fellow positions. His experience encompasses molecular biology, bioinformatics, statistical analysis, and interdisciplinary collaboration.

Awards and Awards 🏆

Dr. Abhishek Mishra has received several awards and honors for his contributions to biomedical research. Notable recognitions include the NIEHS Postdoctoral Award, Young Scientist Research Award from the Council of Science and Technology, UP, India, and travel awards from various organizations. These awards demonstrate his expertise and dedication to advancing scientific knowledge.

Research Focus

Dr. Abhishek Mishra’s research focuses on molecular biology, bioinformatics, and statistical analysis to address biomedical challenges. He explores innovative approaches to understand disease mechanisms, particularly in oncology and renal biology. His research aims to develop new therapeutic strategies and improve human health.

Publications 📚

Peng Gao | Applied superconductivity | Best Researcher Award

Prof. Dr. Peng Gao | Applied superconductivity | Best Researcher Award

Researcher. Institute of Plasma Physics, Chinese Academy of Sciences, China

Dr. Peng Gao is a renowned researcher in superconducting materials and magnet systems. He has made significant contributions to the development of high-field superconducting magnets and their applications in fusion energy, particle accelerators, and other fields. His work has been recognized internationally, and he has collaborated with top institutions worldwide.

Profile

scopus

Education 🎓

Dr. Peng Gao received his Bachelor’s degree in Electrical Engineering from Southwest Jiao Tong University in 2010. He then pursued his PhD in Applied Physics at the University of Twente, The Netherlands, from 2015 to 2019. During his PhD, he also participated in successive postgraduate and doctoral programs at Southwest Jiao Tong University and the University of Twente.

Experience 💼

Dr. Peng Gao has extensive research experience in superconducting materials and magnet systems. He worked as a postdoctoral researcher at the Institute of Plasma Physics, Chinese Academy of Sciences, from 2019 to 2022. He then became an associate researcher and later a researcher at the same institution. His research focuses on high-field superconducting magnets, superconducting materials, and their applications.

Awards and Awards 🏆

Dr. Peng Gao has received several awards and honors for his outstanding contributions to research. He was selected into the “Hundred Talents Program” of the Chinese Academy of Sciences and the “Special Research Assistant” program. He has also received funding from various national and international projects.

Research Focus

Dr. Peng Gao’s research focuses on high-field superconducting magnets, superconducting materials, and their applications in fusion energy, particle accelerators, and other fields. He has made significant contributions to the development of high-field superconducting magnets and their applications.

Publications 📚

Dr. Julie Luyt | Archaeology | Best Researcher Award

Dr. Julie Luyt | Archaeology | Best Researcher Award

Dr. Julie Luyt , University of Cape Town , South Africa.

Dr. Julie Luyt is a Senior Research Officer in the Archaeology Department at the University of Cape Town, specializing in stable light isotope research. With a PhD in Archaeology, she has significant experience in overseeing lab operations, mentoring students, and conducting independent research projects. Julie has also held various roles, including Chief Scientific Officer at the Stable Light Isotope Laboratory and Postdoctoral Research Fellow, contributing to pioneering research on climatic and environmental reconstructions.

Publication Profile

Orcid
Scopus

Education 🎓

  • PhD in Archaeology (2013–2016) – University of Cape Town

  • MSc with Distinction in Archaeology (2000–2001) – University of Cape Town

  • BSc (Hons) in Quaternary Earth Science (1997) – University of Cape Town

  • BSc in Environmental and Geographical Science; Archaeology (1994–1996) – University of Cape Town

Professional Experience 💼

  • Senior Research Officer (July 2020 – present), Archaeology Department, UCT

  • Chief Scientific Officer (April 2018 – June 2020), Stable Light Isotope Laboratory, UCT

  • Postdoctoral Research Fellow (June 2017 – May 2018), DST NRF Centre of Excellence in Palaeosciences, WITS

  • Faculty Planning Manager (Feb 2006 – Jan 2013), Office of the Dean, Faculty of Humanities, UCT

Summary Suitability

Julie Luyt’s extensive academic background, combined with her leadership and research expertise, makes her an ideal candidate for the Best Researcher Award. Her contributions to the field of archaeology, specifically in stable light isotope research, have had a significant impact on environmental and climatic reconstructions. As a Senior Research Officer at the University of Cape Town’s Stable Light Isotope Laboratory, Julie has not only overseen critical research projects but also mentored students, ensuring the advancement of scientific knowledge.

Professional Development 📚

Dr. Julie Luyt has actively contributed to the scientific community through her leadership in the Stable Light Isotope Laboratory, where she has mentored students and researchers, focusing on enhancing the lab’s operational efficiency and advancing research quality. Her role has involved extensive data analysis, overseeing scientific work, and ensuring lab standards are met. She is highly experienced in isotopic statistical models, utilizing tools like SPSS to further her research into climatic and environmental reconstructions. Julie has also played a pivotal role in contributing to academic papers and collaborating with other researchers globally.

Research Focus 🔬

Dr. Julie Luyt research is centered around stable light isotope analysis to reconstruct past environmental and climatic conditions. She applies isotopic models to archaeological datasets from southwestern South Africa, helping to uncover details about ancient climates and ecological factors. This work advances the understanding of human-environment interaction through the ages and helps to provide clearer insights into historical ecosystems. Her research incorporates the use of advanced statistical tools, contributing valuable information to the fields of archaeology and palaeosciences.

Awards and Honors 🏆

  • PhD with Distinction, University of Cape Town 🎓

  • DST NRF Centre of Excellence in Palaeosciences Postdoctoral Fellowship 🏅

  • Promoted from Research Officer to Senior Research Officer (2025) 💼

Publication Top Notes

  • Stable Isotope Analysis of Pleistocene Proboscideans from Afar (Ethiopia) and the Dietary and Ecological Contexts of Palaeoloxodon (Quaternary, 2025) 📚 | DOI: 10.3390/quat8010016

  • Large herbivore δ18O as a proxy for aridity in the South African winter and year-round rainfall zone (Quaternary Research, 2024) 🌍 | DOI: 10.1017/qua.2024.21

  • Carnivore stable isotopes as environmental integrators in southern African winter rainfall ecosystems (Quaternary International, 2023) 🐾 | DOI: 10.1016/j.quaint.2022.03.008

  • Diversity in Socioecological Niches in the Andes (DISENIA): An isotope-based project (Antiquity, 2023) 🏞️ | DOI: 10.15184/aqy.2023.47

  • Paleoenvironmental implications of Permo-Triassic geographic shift in oxygen stable isotope (δ18Op) from tetrapod bone in the South African Karoo Basin (Journal of African Earth Sciences, 2023) 🌍 | DOI: 10.1016/j.jafrearsci.2023.104999

Conclusion

 Dr. Julie Luyt’s exceptional research expertise, leadership in laboratory management, and commitment to academic mentorship establish her as an outstanding candidate for the Best Researcher Award. Her work has not only contributed to the field of stable isotope analysis but has also shaped the careers of many young researchers. Through her innovative research and dedication, she continues to advance scientific knowledge, making her a truly deserving recipient of this prestigious recognition.

Timea Claudia Ghitea | Biomedical science | Women Researcher Award

Assist. Prof. Dr. Timea Claudia Ghitea | Biomedical science | Women Researcher Award

DOCTOR, UNIVERSITY OF ORADEA, Romania

Timea Claudia Ghitea is a highly experienced professional with a rich background in pharmacy, clinical nutrition, and biomedical sciences. Currently serving as a university assistant at the Faculty of Medicine and Pharmacy in Oradea and a clinical nutritionist at Echo Laboratories, she has developed a strong career spanning over two decades. Ghitea holds a doctorate in biomedical sciences and is committed to advancing research in nutrition, dietetics, and clinical pharmacy. In addition to her academic and clinical work, she actively participates in professional organizations, contributing to the scientific community. As a mentor and project manager, Ghitea has helped guide students and professionals in the medical field. Her multilingual skills (English, French, German, and Spanish) support her international collaborations. A mother of two, she balances her career and personal life while pursuing excellence in her field.

Profile

Education

Timea Claudia Ghitea’s educational journey is marked by a strong commitment to excellence and continuous development. She earned a doctorate in biomedical sciences with a specialization in clinical and sports nutrition in 2020. In 2022, she completed her specialization in nutrition and dietetics at the Faculty of Medicine and Pharmacy in Oradea. She has completed several postgraduate studies in clinical pharmacy and nutrition, such as the Nutrition and Dietetics post-university studies in Timisoara in 2017. Ghitea also holds a Master’s degree in Cell Biology (2006) and a Pharmacy degree from the Faculty of Medicine and Pharmacy, Oradea, in 2006. She has further advanced her education by gaining a solid background in biology and chemistry, earning a degree from the Faculty of Sciences in 2002. Ghitea also completed the Pharmacy Assistant Specialty at Vasile Voiculescu Post-High School in 1999. Her broad academic foundation has shaped her as a leading expert in her fields.

Experience 

Timea Claudia Ghitea has an extensive professional background spanning over 20 years in the pharmacy and clinical nutrition sectors. She has been a University Assistant at the Faculty of Medicine and Pharmacy in Oradea since 2017, where she specializes in nutrition and dietetics. Ghitea also holds the position of Clinical Nutritionist at Echo Laboratories since 2017, focusing on clinical and sports nutrition. Previously, she served as the Pharmacist Director of the Serbian Pharmacy from 2012 to 2017 and MIG3 Pharmacy from 2011 to 2012. Her career began as an Assistant Pharmacist at Delia Pharmacy in 1999, and she later progressed to work at Fontana Pharmacy from 2006 to 2011. Ghitea has also served in leadership roles within the College of Pharmacists Bihor, including as President of the Discipline Committee. Her versatile career demonstrates expertise in both academic and clinical settings, contributing significantly to healthcare.

Research Focus 

Timea Claudia Ghitea’s research interests lie primarily in clinical nutrition, sports nutrition, and biomedical sciences. Her work focuses on how nutrition can affect clinical outcomes, including the management of chronic diseases such as diabetes and osteoporosis. Ghitea’s research also addresses the long-term impacts of long COVID, particularly in relation to cardiomyopathies and mental health disorders. She investigates the interdisciplinary approach to solving complex medical issues through nutritional interventions, collaborating with international colleagues. As part of her expertise in clinical pharmacy, she also explores the relationship between pharmaceutical treatments and their impacts on nutritional status. Additionally, Ghitea has contributed to several research projects related to cardiotoxicity in breast cancer treatment and the impact of vaccination adherence in postpartum mothers. Her academic work aims to bridge the gap between clinical practice and research, focusing on improving patient care through evidence-based nutritional strategies.

Publications

  • The Influence of Osteoporosis and Diabetes on Dental Implant Stability: A Pilot Study 🦷💉
  • Vaccine Adherence: From Vaccine Hesitancy to Actual Vaccination and Reasons for Refusal of Childhood Vaccines in a Group of Postpartum Mothers 💉👩‍👧‍👦
  • Cardiotoxicity in Breast Cancer: Impact of Clinical Classifications and Treatment on Heart Health 💔🎗️
  • Long-term Impacts of Long COVID: Increased Incidence of Cardiomyopathies, Joint Diseases, and Psychoanxiety Disorders 🦠💔
  • Gender-Specific Impacts of the COVID-19 Pandemic on Orthopedic and Traumatology Care: An Analysis of Hospital Admissions and Length of Stay 🏥⚕️

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:

scopus

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.

Dr. Rui Bao | Viscoelastic curing kinetics | Best Scholar Award

Dr. Rui Bao | Viscoelastic curing kinetics | Best Scholar Award

Dr. Rui Bao, China university of petroleum Beijing, China

Dr. Rui Bao is a highly accomplished individual with a robust educational background and significant professional experience in mechanical engineering, particularly in the areas of composite materials and offshore engineering. She is currently pursuing her PhD at the China University of Petroleum (Beijing), with an expected graduation in December 2024. She also spent time as a visiting PhD student at Nanyang Technological University, where she specialized in strength failure analysis, composite flexible risers, and residual stress in manufacturing.

She holds a Master’s and Bachelor’s degree in Mechanical Engineering from the China University of Petroleum (East China), where she was recognized as an outstanding student and received first-class scholarships. Her undergraduate and graduate research focused on water injection columns, mechanical properties of packers, and other mechanical analyses.

Professionally, Dr. Đorđević worked as a Well Completion Engineering Assistant Engineer at COSL, where she was responsible for the CAD design and drafting of offshore wellhead components and the development and testing of packers. She has also led significant projects such as the NSFC general project on the strength failure analysis of flexible riser composite armored wire, showcasing her skills in materials and structural analysis, innovative design, and team collaboration.

With a deep understanding of composite materials, advanced computational modeling techniques, and a strong track record of academic and professional excellence, Dr. Đorđević is well-positioned to make significant contributions to the field of mechanical engineering and beyond.

 

Professional Profiles:

Orcid

🎓 Education

China University of Petroleum (Beijing)
Expected in Dec 2024
Nanyang Technological University
Visiting PhD Student, Mechanical EngineeringHonors: 🏅 Outstanding Graduate Student / 🥇 First-Class ScholarshipRelevant Directions:🛠️ Strength Failure Analysis⚙️ Composite Flexible Risers🔧 Residual Stress of Manufacturing (NSFC, general project)China University of Petroleum (East China)
Bachelor in Mechanical Engineering (09/2012 – 06/2016)Honors: 🏅 Excellent Graduate Cadres / 🥇 First-Class ScholarshipRelevant Directions:🚰 Water Injection Column📐 Mechanical Analysis🧩 Mechanical Properties of Packers (General project)Master in Mechanical Engineering (09/2016 – 06/2019)

🛠️ Work Experience

Well Completion Engineering Assistant Engineer – COSL (Jul 2019 – Aug 2020)Design and Drafting of Offshore Wellhead Components: ✏️ Responsible for the CAD design and drafting of key offshore wellhead components (packers and compensators), ensuring precise specifications and functional integrity to meet the demands of harsh offshore environments.Development and Testing of Packers: 🧪 Involved in the manufacturing and testing of packers in the processing workshop to ensure their mechanical and safety performance.

📊 Project Experience

Strength Failure Analysis of Flexible Riser Composite Armored Wire Considering Residual Stress (NSFC, general project) 2021‐Present

Comprehensive Materials and Structural Analysis Skills: 🧬 Proficient in composite material performance analysis and evaluation of the impact of residual stress on the integrity of composite armor line structures. Able to use advanced computational modeling techniques (such as finite element analysis) to simulate and optimize complex structures.Innovative Design and Performance Optimization Capability: 💡 Leveraging a deep understanding of composite materials and structural performance to innovate the design and optimization of flexible risers, improving their performance and reliability in marine engineering applications.Interdisciplinary Communication and Team Collaboration Skills: 🤝 Adept at collaborating across disciplines to achieve project goals efficiently. 

📖 Publications Top Note :

Dr. Mostafa Khalil | soil dynamics | Academic Achiever in Materials Mechanics Award

Dr. Mostafa Khalil | soil dynamics | Academic Achiever in Materials Mechanics Award

Dr. Mostafa Khalil, Housing and Building National Research Center, Egypt

Dr. Mostafa Said Yousef Khalil, a Ph.D. student and Assistant Lecturer at the Building Materials Research and Quality Control Institute, HBRC, Egypt, has a robust background in engineering. Graduating from Ain Shams University in 2011, he served as a Roadway Projects Manager Engineer at HBRC from 2014 to 2019. In 2019, he earned his M.Sc. in Geotechnical Engineering. Since April 2019, he has been an Assistant Lecturer at HBRC. Commencing his doctoral studies in March 2020 at Ain Shams University, Dr. Khalil continues to contribute significantly to the field of geotechnical engineering.

 

Professional Profiles:

Google Scholar

 

Education and Early Career 📚

I graduated from Ain Shams University in 2011, embarking on a career that would soon highlight my expertise and leadership. From 2014 to 2019, I served as a Roadway Projects Manager Engineer at HBRC, showcasing my skills in project management and engineering excellence.

Academic Pursuits and Professional Growth 🎓

In 2019, I earned my M.Sc. in Geotechnical Engineering, a testament to my commitment to advancing my knowledge and skills. Since April 2019, I have been working as an Assistant Lecturer at the Material and Quality Control Institute at HBRC, imparting knowledge and guiding the next generation of engineers.

Doctoral Studies and Ongoing Contributions 🎓

In March 2020, I commenced my doctoral studies at Ain Shams University, further deepening my expertise in geotechnical engineering. My journey continues as I strive to contribute significantly to the field, combining academic rigor with practical experience to drive innovation and quality in engineering.🌟 Dr. Mostafa Said Yousef Khalil is a dedicated professional, continuously pushing the boundaries of engineering and contributing to the field with passion and expertise.

📖 Publications Top Note :

Lean Talent Management: A Novel Approach for Increasing Creativity in Architectural Design Firms

Authors: AAE Othman, MHM Khalil

Journal: Engineering, Construction and Architectural Management

Citations: 29

A Lean Talent Management Framework for Maximizing Creativity in Architectural Design Firms

Authors: AAE Othman, MHM Khalil

Journal: International Journal of Construction Management

Citations: 16

Talent Management: A Novel Approach for Developing Innovative Solutions Towards Heritage Communities Development

Authors: M Khalil, H Elsaay, A Othman

Journal: Archnet-IJAR: International Journal of Architectural Research

Citations: 14

Museum Visitors Learning Identities Interrelationships with Their Experiences

Authors: KKH ElDamshiry, MHM Khalil

Conference: Green Heritage Conference

Citations: 8

Creative Identities: From Divergence to Fusion in Cultural Exhibits to Overcome Human-Related Cultural Heritage Deterioration

Authors: MHM Khalil, KKH ElDamshiry

Conference: Green Heritage Conference

Citations: 3

Divergent Heritage Sustainability: A Threefold Approach Through Lean Talent Management

Authors: AAE Othman, MH Khalil

Journal: Journal of Engineering, Design and Technology

Citations: 2

Dr. Alberth Renne Gonzalez Caranton | Catálisis | Best Researcher Award

Dr. Alberth Renne Gonzalez Caranton | Catálisis| Best Researcher Award

Dr. Alberth Renne Gonzalez Caranton, Universidad ECCI, Colombia

Dr. Alberth Renne Gonzalez Caranton is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

ORCID

Google scholar

Perfil Profesional 🚀

Ingeniero Químico, Magister en Ingeniería Química y Doctor en Ingeniería Química con énfasis en Catálisis heterogénea. Con experiencia destacada en investigación aplicada, desarrollo, preparación y caracterización de catalizadores nanoestructurados. Especialista en reformado catalítico de metano para producción de hidrógeno, oxidación catalítica, reacciones de oxidación de etileno verde, producción de biometano y celdas de combustible. Su visión incluye modelos educativos innovadores. Promotor apasionado de la ciencia en todos los contextos educativos como contribución al desarrollo humano.

🎓 Educación Formal

Doctor en Ingeniería QuímicaTema: Producción catalítica de Acetato de Vinila a partir de Etileno y Ácido acético sobre catalizadores nanoestructurados de Pd-Cu soportados en ZrO2 modificada.Fecha: 8 de septiembre de 2013 – 20 de marzo de 2019Institución: COPPE, Universidad Federal de Rio de JaneiroMagister en Ingeniería QuímicaTema: Reformado seco de metano sobre catalizadores de óxido nanoestructurado de Ni-Mg-Al.Fecha: febrero de 2009 – febrero de 2011Institución: Universidad Federal de São Carlos, BrasilIngeniero QuímicoTema: Estudio de las variables de electrodeposición de SiO2 sobre estructuras monolíticas.Fecha: septiembre de 2000 – diciembre de 2008Institución: Universidad Industrial de Santander, Colombia

Experiencia Profesional 💼

Universidad ECCIProfesor de Ingeniería Mecánica Tiempo CompletoFecha: Agosto 5 de 2019- ActualidadFunciones: Docencia y coordinación en asignaturas de energía, investigación y desarrollo de convenios.Universidad Nacional Abierta y a DistanciaDocente VirtualFechas: 8 abril de 2019-27 de diciembre de 2019Funciones: Profesor de cursos virtuales en áreas ambientales, asesoría investigativa y dirección de tesis.Ingenio ColombianoIngeniero Analista en Diseño de ProcesosFechas: 9 de octubre de 2018-9 de enero de 2019Funciones: Mejoramiento de plataformas virtuales, desarrollo de prácticas y talleres, y modelado en ingeniería agroindustrial.Insurcol Ltda.Ingeniero de Soporte QuímicoFechas: 28 de junio de 2011- 6 de septiembre de 2013Funciones: Desarrollo de ingeniería de procesos para análisis químico en refinerías colombianas.

📊 Citation Metrics (Google Scholar):

Citations by: All – 1471, Since 2018 – 1116
h-index: All – 20, Since 2018 – 17
i10 index: All – 41, Since 2018 –37